bluuebunny/crossref_metadata_2025_split huggingface dataset:
Iron–Copper Bimetallic Nanoparticle for the Removal of Disinfection By-products: Optimization, Kinetic Study, and Life Cycle Assessment
Authors: Ulucan-Altuntas Kubra , Hadki Ahmed El , Bilgili Levent , Çetinkaya Afşın Y. , Kuzu S. Levent , Debik Eyup 
Published: July 2022

Abstract
Since the early twentieth century, disinfecting water has been an essential process to prevent the introduction of harmful organisms, especially pathogenic organisms. Due to the reaction between anthropogenic contaminants present in water and the chemicals used to disinfect water, compounds known as disinfection by-products (DBPs) are formed during the water disinfection process. Chlorination, the most dominant water disinfection method, produces DBPs that have drawn a lot of attention and health concerns. The most commonly used removal technology for trichloromethane (TCM) is adsorption, and the use of activated carbon, iron oxides, and nanoparticles has been widely investigated. Studies have found that using nano-zero valent iron with nano-catalytic metals (Cu, Ni etc.) to synthesize bimetallic nanoparticles increases the removal of organic pollutants. The current study investigates the adsorption of trichloromethane (TCM) by synthesized Fe/Cu bimetallic nanoparticles. The response surface methodology (RSM) was used to investigate the effect of independent variables on the removal of TCM. According to the CCD results, TCM concentration and reaction time were determined as the most effective parameters. The lowest TCM concentrations have low removal efficiencies, while the lowest TCM concentration (50 µg/L) can be removed up to 60%. The highest TCM concentration can be 500 µg/L to achieve a removal below the limits with 500 mg/L Fe/Cu concentration and 24 min of reaction time. Life cycle assessment (LCA) was applied to Fe/Cu nanoparticle synthesis, and results indicated that the highest environmental impact was from the mixture of reactant stage.
Arginine ADP-ribosyltransferase 1 Regulates Glycolysis in Colorectal Cancer via the PI3K/AKT/HIF1α Pathway
Authors: Long Wen-bo , Pu Xia , Tang Yi , Li Ming , Liu Yun , She Qin , Wang Ya-lan , Guo Qin-xi 
Published: July 2022

Abstract
Objective
Arginine ADP-ribosyltransferase 1 (ART1) is involved in the regulation of a diverse array of pathophysiological processes, including proliferation, invasion, apoptosis, autophagy and angiogenesis of colorectal cancer (CRC) cells. However, how ART1 regulates glycolysis in CRC remains elusive.

Methods
To elucidate the role of ART1 in glycolysis in CRC, we assessed the protein level of ART1, hypoxia-inducible factor 1α (HIF1α), and glucose transporter type 1 (GLUT1) in 61 CRC tumor tissue specimens obtained from patients with different 2-[18F]fluoro-2-deoxy-D-glucose (18F-FDG) uptake as analyzed by PET/CT before surgery. Colon adenocarcinoma CT26 cells with ART1 knockdown and overexpression were established, respectively, and the molecular mechanism underlying the effect of ART1 on glycolysis in CRC was determined both in vivo and in vitro.

Results
The expression of ART1 and GLUT1 was significantly associated with FDG uptake (P=0.037 and P=0.022, respectively) in CRC tissues. Furthermore, the expression of hexokinase 2 (HK2) and lactate dehydrogenase (LDH) was upregulated in ART1-overexpressed CT26 cells, but was downregulated in ART1-knockdown CT26 cells. The volume and weight of subcutaneously transplanted tumors were markedly increased in the ART1-overexpressed BALB/c mice group and decreased in the ART1-knockdown group. In CT26 cells, the overexpression of ART1 promoted the expression levels of HK2 and LDH, and knockdown of ART1 suppressed them in the CT26 tumors. In both normal and hypoxic conditions, ART1 expression was associated with the protein level of phospho-serine/threonine kinase (p-AKT), HIF1α, and GLUT1 but not with that of AKT in CT26 cells and subcutaneous transplanted tumors.

Conclusion
ART1 plays a crucial role in the elevation of glucose consumption in CT26 cells and may regulate GLUT1-dependent glycolysis in CRC via the PI3K/AKT/HIF1α pathway.
Influence of Spray Angle on Microstructure and Lifetime of Suspension Plasma-Sprayed Thermal Barrier Coatings
Authors: Uczak de Goes Wellington , Ossiansson Mattias , Markocsan Nicolaie , Gupta Mohit , Honnerová Petra , Veselý Zdeněk 
Published: July 2022

AbstractThermal barrier coatings (TBCs) are widely utilized in gas turbine engines for power generation. In recent years, the application of TBCs in automotive has been introduced to improve engine efficiency. Low thermal conductivity and high durability are desired coating properties for both gas turbine engines and automotive. Also, suspension plasma spraying (SPS) permits a columnar microstructure that combines both properties. However, it can be challenging to deposit a uniform columnar microstructure on a complex geometry, such as a gas turbine component or piston head, and achieve similar coating characteristics on all surfaces. This work's objective was to investigate the influence of spray angle on the microstructure and lifetime of TBCs produced by SPS. For this purpose, SPS TBCs were deposited on specimens using different spray angles. The microstructures of the coatings were analyzed by image analysis for thickness, porosity, and column density. Thermal and optical properties were evaluated on each TBC. Lifetime tests, specifically designed for the two applications, were performed on all investigated TBCs. The lifetime results were analyzed with respect to the TBC microstructure and thermal and optical properties. This investigation showed that there is a limit to the spray angle that achieves the best compromise between TBC microstructure, thermal properties, optical properties, and lifetime.
Zur Neurobiologie der Psychopathie
Authors: Wild Laura M. , Poeppl Timm B. 
Published: July 2022

ZusammenfassungDie Erforschung der neurobiologischen Grundlagen der Psychopathie hat in den letzten Jahren an Bedeutung gewonnen. In diesem Artikel soll eine kurze Übersicht des aktuellen Stands der Forschung gegeben werden. In Bildgebungsmetaanalysen finden sich Hinweise auf eine Volumenminderung grauer Substanz im linken dorsolateralen präfrontalen Kortex und im medialen Orbitofrontalkortex bei Psychopathen. Des Weiteren zeigt eine groß angelegte Metaanalyse robuste Evidenz für veränderte Hirnaktivität im frontoinsulären Kortex, im lateralen präfrontalen Kortex, im dorsomedialen präfrontalen Kortex und in der rechten Amygdala. Aus der Kombination von Neurobildgebung und Datenbankanalysen ist zudem bekannt, dass es eine Beziehung zwischen den beschriebenen Hirnveränderungen und typischen Psychopathiesymptomen gibt. Der Vergleich von Hirnveränderungen mit Neurotransmitterkarten und Genexpressionskarten gibt Hinweise auf mögliche zugrunde liegende molekulare Mechanismen, insbesondere eine Dysregulation im serotonergen System. In der Zusammenschau weisen diese Befunde klar auf fassbare neurobiologische Veränderungen bei hochgradig psychopathischen Personen hin. Zwar können sie keinen Aufschluss darüber geben, ob es sich bei den Veränderungen um Ursache oder Folge der Störung handelt, doch können sie Ansatzpunkte für spezifischere, biologische Therapieverfahren bieten.
Tapping Gas from the Silicon Submerged Arc Furnace: An Industrial Measurement Campaign
Authors: Andersen Vegar , Gaertner Heiko , Grådahl Svend , Ksiazek Michal , Einarsrud Kristian Etienne , Tranell Gabriella 
Published: July 2022

AbstractProducing high-silicon alloys in submerged arc furnaces (SAF) involves the generation of an intermediate process gas, consisting of silicon monoxide (SiO) and carbon monoxide (CO). Combustion of process gas from the taphole can be an environmental challenge. SiO gas burns to fine SiO2 particles which can cause poor working conditions and fugitive particulate matter emissions. The high combustion energy of SiO and CO is a source of high heat load. It is also the source of thermal NOX generation. A measurement campaign was conducted at the Elkem Thamshavn plant in Norway to investigate the composition of tapping gas from a silicon furnace. Over a 3-day period, the gas extracted from the tapping of the furnace was analyzed with Agilent Micro-GC, Protea atmosFIR, and Testo 350. The dust concentration in the gas was measured with a LaserDust instrument from NEO Monitors. Using the plant’s existing flow and temperature measurements, mass and energy flows were calculated. Linear regressions were calculated for three predictors of NOX formation in the taphole gas. From these calculations, the relation between total energy added to the tapping gas and NOX showed the best correlation.
Do Cancer and Cancer Treatments Accelerate Aging?
Authors: Bhatia Roma , Holtan Shernan , Jurdi Najla El , Prizment Anna , Blaes Anne 
Published: July 2022

Abstract

Purpose of Review
This review focuses on describing the mechanisms and clinical manifestations that underlie accelerated aging associated with cancer and its treatment.

Recent Findings
The direct and indirect effects of cancer and its treatment are associated with late occurrence of comorbidities that happen earlier or more frequently in cancer survivors compared to cancer-free individuals, otherwise known as accelerated aging. Use of senolytics and dietary and exercise interventions including prehabilitation, caloric restriction, and rehabilitation are currently under investigation to reverse or decelerate the aging process and will be covered in this review.

Summary
Further research on how to decelerate or reverse aging changes associated with cancer and its treatment will be of paramount importance as the number of cancer survivors continues to grow.
Long Intergenic Noncoding RNAs Affect Biological Pathways Underlying Autoimmune and Neurodegenerative Disorders
Authors: Plewka Patrycja , Raczynska Katarzyna Dorota 
Published: July 2022

AbstractLong intergenic noncoding RNAs (lincRNAs) are a class of independently transcribed molecules longer than 200 nucleotides that do not overlap known protein-coding genes. LincRNAs have diverse roles in gene expression and participate in a spectrum of biological processes. Dysregulation of lincRNA expression can abrogate cellular homeostasis, cell differentiation, and development and can also deregulate the immune and nervous systems. A growing body of literature indicates their important and multifaceted roles in the pathogenesis of several different diseases. Furthermore, certain lincRNAs can be considered potential therapeutic targets and valuable diagnostic or prognostic biomarkers capable of predicting the onset of a disease, its degree of activity, or the progression phase. In this review, we discuss possible mechanisms and molecular functions of lincRNAs in the pathogenesis of selected autoimmune and neurodegenerative disorders: multiple sclerosis, rheumatoid arthritis, systemic lupus erythematosus, Sjögren’s syndrome, Huntington’s disease, Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis. This summary can provide new ideas for future research, diagnosis, and treatment of these highly prevalent and devastating diseases.
Navigating Affordances for Learning in Clinical Workplaces: A Qualitative Study of General Practitioners’ Continued Professional Development
Authors: Stabel Linda Sturesson , McGrath Cormac , Björck Erik , Elmberger Agnes , Laksov Klara Bolander 
Published: July 2022

Abstract
Medical specialists’ lifelong learning is essential for improving patients’ health. This study identifies affordances for learning general practitioners (GPs) engage in, and explores what influences engagement in those affordances. Eleven GPs were interviewed and the interview transcripts were analysed thematically. Stephen Billett’s theoretical framework of workplace participatory practices was used as an analytical lens to explore the topic. Challenging patient cases were identified as the main trigger for engagement in learning. Local, national and international colleagues from the same and other specialties, were found to be an important affordance for learning, as was written material such as websites, journals and recommendations. Other inputs for learning were conferences and courses. Workplace aspects that were essential for GPs to engage in learning related to: place and time to talk, relevance to work, opportunity for different roles, organisation of work and workload, and working climate. Importantly, the study identifies a need for a holistic approach to lifelong learning, including spontaneous and structured opportunities for interaction over time with colleagues, establishment of incentives and arenas for exchange linked to peer learning, and acknowledgement of the workplace as an important place for learning and sufficient time with patients. This study contributes with a deepened understanding of how GPs navigate existing affordances for learning both within and outside their workplaces.
Microplankton Interactions with Decadal-Scale Nutrient Enrichment in a Deep Estuary, with Implications for Eutrophication—Related Ecosystem Stressors
Authors: Safi Karl , Zeldis John , Tait Leigh , Robinson Karen , Gall Mark , Thompson Karen 
Published: July 2022

AbstractLong-term (decadal) records of microplankton provide insights into how lower trophic levels of coastal ecosystems respond to nutrient enrichment, over and above shorter-term variability. We used a 15-year seasonal census in the Firth of Thames, a deep, nutrient-enriched estuary in northeastern Aotearoa/New Zealand, to determine microplankton responses to enrichment. Kendall trend analyses showed that dissolved inorganic nitrogen (DIN) and dissolved organic nitrogen were enriched by 99% and 34%, respectively, over 15 years, while phosphorus changed little. Larger phytoplankton (> 2 µm) increased by 46%, including 57% increases by diatoms (mainly large centrics with 93% increase) and nanoflagellates (151% increase). Dinoflagellates decreased by 46%, such that the community shifted from dinoflagellate to diatom/nanoflagellate dominance. Within phytoplankton ≤ 2 µm, picoprokaryotes increased by 369%, while picoeukaryotes changed little. Among microheterotrophs (< 200 µm), bacteria increased by 89%, and small oligotrichs increased by 53%. Trend analyses and multivariate general additive modelling showed that microplankton biomass responded primarily to increased DIN over the 15-year period and secondarily to stratification variation at shorter time scales. The changed biomasses and community composition are explained as responses to increased N:P and food-web interactions. Deleterious changes included increased toxic Pseudo-nitzschia abundance and potentially reduced nutritional quality of the phytoplankton community for grazers. The increased N and larger diatoms indicated potential for increased deposition to sediments, possibly explaining previous observations of lowered denitrification in the Firth during the time series period. The results indicated a continuation of enrichment the Firth has received over decades, with implications for expression of ecosystem stressors of acidification and hypoxia.
Modeling of carbon sequestration with land use and land cover in the northeastern part of the Nile Delta, Egypt
Authors: Abd El-Hamid Hazem T. , Hafiz Mohammed A. 
Published: July 2022

AbstractThe world is currently concerned about the phenomenon of climate change and global warming because of the natural disasters that threaten the lives of living organisms on the surface of the earth. Despite this, there is a dearth of studies dealing with reducing carbon emissions in Egypt. We needed to cover this defect in an important area of Egypt, which is the eastern delta region including Manzala Lake. Land use and land cover (LU/LC) represents a vital role in carbon regulation in coastal areas. Our study uses three Landsat images in 2001, 2013, and 2021 to estimate the amount of carbon storage and sequestration and used Land Change Modeler (LCM) with Cellular Automata Markov Chain (CA-MC) model to predict land cover changes in 2031. Results show that in the period between 2013 and 2021, about half of the floating plants have been destroyed and removed. Our results demonstrate that the increased area for agricultural lands from 2013 to 2021 (2306 Mg C/km2) leads to an increased amount of carbon stoke but the decreased area for floating plants (-4508 Mg C/km2) leads to a decrease in carbon storage. Results showed that a remarkable decrease in carbon storage in the future was attributed to anthropogenic activities in the study area and also as a result of the un exploiting of environmental resources. Finally, the total cost of carbon was 1323.4, 1437.9, 1184.8, and 1296.5 $US/ha for 2001, 2013, 2021, and 2032, respectively. Results showed that the minimum cost for 2021 that a noticeable shortage due to the removal of vegetation and an increase the area of lake water. These conversions have to some extent affected the capacity of coastal habitats to sequester and store CO2. For carbon storage, we recommend afforestation of desert areas. The current design for carbon storage and sequestration is a good guide for government and decision makers for suitable sustainable development, climatic regulation, and carbon budget.
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection
Authors: Abdullakutty Faseela , Elyan Eyad , Johnston Pamela , Ali-Gombe Adamu 
Published: July 2022

AbstractPresentation attacks are becoming a serious threat to one of the most common biometric applications, namely face recognition (FR). In recent years, numerous methods have been presented to detect and identify these attacks using publicly available datasets. However, such datasets are often collected in controlled environments and are focused on one specific type of attack. We hypothesise that a model’s accurate performance on one or more public datasets does not necessarily guarantee generalisation across other, unseen face presentation attacks. To verify our hypothesis, in this paper, we present an experimental framework where the generalisation ability of pre-trained deep models is assessed using four popular and commonly used public datasets. Extensive experiments were carried out using various combinations of these datasets. Results show that, in some circumstances, a slight improvement in model performance can be achieved by combining different datasets for training purposes. However, even with a combination of public datasets, models still could not be trained to generalise to unseen attacks. Moreover, models could not necessarily generalise to a learned format of attack over different datasets. The work and results presented in this paper suggest that more diverse datasets are needed to drive this research as well as the need for devising new methods capable of extracting spoof-specific features which are independent of specific datasets.
Influence of Peat and Biochar on Gas Emissions and Microbial Metabolism During Co-composting of Chicken Manure and Maize Straw
Authors: Feng Mengting , Wu Xiaoyu , Qiu Xiuwen , Wang Huijuan 
Published: July 2022

Abstract This study investigated the effects of peat (PT) and maize straw biochar (MSB) on gas emissions and microbial metabolism characteristics during chicken manure (CM) and maize straw (MS) composting. Three treatments with different additives (0%, 5% PT, 5% MSB added on dry weight basis) were designed to conduct 30-day aerobic composting experiments in nine insulated polyvinyl chloride (PVC) reactors. The results showed that PT and MSB addition increased the temperature and nitrate-nitrogen (NO3−–N) content but decreased the ammonium nitrogen (NH4+–N) content of compost. Compared with control, the total emissions of methane (CH4), nitrous oxide (N2O) and ammonia (NH3) in PT and MSB were reduced by 20.13–30.57%, 28.88–47.46% and 37.35–52.71%, respectively. In addition, PT and MSB amendments improved the microbial utilization capacity on carbohydrates, esters and carboxylic acids. Redundancy analysis revealed that temperature, NH4+–N, pH and microbial metabolism were positively correlated with CH4, N2O and NH3 emissions. Meanwhile, temperature, NH4+–N and pH also had positive correlations with microbial metabolism. Together these results indicated that PT and MSB amendment improved the metabolism capacity of microbes and reduced CH4, N2O and NH3 emissions, eventually mitigating nitrogen loss and promoting the quality of compost product.
Graphical Abstract
HbA1c levels and circulating inflammatory proteins at onset of type 1 diabetes in children and adolescents
Authors: Dereke Jonatan , Nilsson Charlotta 
Published: July 2022

Abstract
Purpose
Type 1 diabetes is an autoimmune disease that often develops during childhood. Complications such as retinopathy often occur during the course of the disease. Studies to identify possible predictors of complications in type 1 diabetes are needed; in particular markers able to identify risk of complications long before they occur. The first aim of this study was to investigate plasma levels of sCD163, sST2 and Gal-3 at diagnosis of type 1 diabetes in children and adolescents. The second aim was to study their correlation to HbA1c in this study cohort.

Methods
Patients (n = 242, 0–18 years) with type 1 diabetes, at Helsingborg’s Hospital were included in this study and circulating levels of sCD163, sST2 and Gal-3 were investigated in plasma using commercially available DuoSet ELISA and supplementary ancillary kit.

Results
Circulating sCD163 was significantly higher at diagnosis compared to after diagnosis (666 ± 318ng/ml and 505 ± 223ng/ml respectively; p < 0.001). Also sST2 was significantly higher (18.2 [12.7–25.6] ng/ml respectively 9.1 [6.3–13.5] ng/ml (p < 0.001), but Gal-3 levels did not differ from onset of diabetes to after diagnosis. HbA1c was shown to correlate to sCD163 (rs=0.36; p < 0.001), sST2 (rs=0.22; p = 0.016) and Gal-3 (rs=0.2; p = 0.020) in patients with a diabetes duration < 5 years.

Conclusions
sCD163 levels increased in patients with recent-onset type 1 diabetes and the levels increased with higher HbA1c. Patients included in this study will be followed annually until the eventual development of diabetic complications, while continuously studying circulating levels of inflammatory proteins such as sCD163.
Typical dampers and energy harvesters based on characteristics of ferrofluids
Authors: Li Yanwen , Han Pengdong , Li Decai , Chen Siyu , Wang Yuming 
Published: July 2022

AbstractFerrofluids are a type of nanometer-scale functional material with fluidity and superparamagnetism. They are composed of ferromagnetic particles, surfactants, and base liquids. The main characteristics of ferrofluids include magnetization, the magnetoviscous effect, and levitation characteristics. There are many mature commercial ferrofluid damping applications based on these characteristics that are widely used in numerous fields. Furthermore, some ferrofluid damping studies such as those related to vibration energy harvesters and biomedical devices are still in the laboratory stage. This review paper summarizes typical ferrofluid dampers and energy harvesting systems from the 1960s to the present, including ferrofluid viscous dampers, ferrofluid inertia dampers, tuned magnetic fluid dampers (TMFDs), and vibration energy harvesters. In particular, it focuses on TMFDs and vibration energy harvesters because they have been the hottest research topics in the ferrofluid damping field in recent years. This review also proposes a novel magnetic fluid damper that achieves energy conversion and improves the efficiency of vibration attenuation. Finally, we discuss the potential challenges and development of ferrofluid damping in future research.