bluuebunny/crossref_metadata_2025_split huggingface dataset:
Myauchan Ore Field (Northeastern Asia), an Example of Weakly Eroded Ag–Pb–Zn Volcanoplutonic Mineralization
Authors: Glukhov A.N. , Kolova E.E. , Sobolev A.V. 
Published: October 2023

Abstract
—The Myauchan ore field located in the Omsukchan zone of the Okhotsk–Chukotka Volcanic Belt is described. The Korennoe and Malyutka Ag–Pb–Zn ore occurrences forming this field are localized at the center of anticlinal fold of NW strike made up of Upper Triassic carbonate-terrigenous deposits intruded by stock-like bodies and dikes of Upper Cretaceous andesite, monzodiorite, granite-porphyry, and rhyolite-porphyry. Sulfide–carbonate–fluorite–quartz veins and vein–veinlet zones with arsenopyrite, pyrite, sphalerite, galena, chalcopyrite, and Ag-tetrahedrite are localized both in intrusions and in terrigenous strata. The field bears As–Sb–Ag–Pb–Au–Bi–Cu–Zn–W mineralization. Study of fluid inclusions and REE and ore element patterns show that the field ores formed from chloride solutions with the participation of surface waters in hydrothermal-magmatic system under epithermal conditions. The ores were deposited from solutions with TDS = 0.5–9.0 wt.% NaCl equiv. in the temperature range 106–287 ºC. The ores containing ca. 70 ppm Ag and up to 1.2% Pb formed through boiling-off of solutions enriched in iron salts. The ores with Ag &lt; 7 ppm and Pb ≤ 25 ppm were generated from diluted hydrothermal solutions with predominant sodium salts and potassium admixture. Mineralization of the Myauchan ore field marks the upper level of the Ag–Pb–Zn ore system similar to the Gol’tsovoe deposit.
Structure–Tectonic Characteristics of the Aldan–Maya Potential Petroleum Area Based on the Interpretation of Regional Seismic Data
Authors: Gubin I.A. , Kontorovich A.E. , Konstantinova L.N. , Moiseev S.A. , Fomin A.M. 
Published: October 2023

Abstract—The results of regional geological exploration over the past 18 years within the Aldan–Maya potential petroleum area were used as the basis for the refinement of the geological structure of the study area. The study considers the key structural features of the sedimentary cover of the Aldan–Maya region and major tectonic events that affected its structure. The generalization and interpretation of regional seismic survey data provided the basis for building a series of geoseismic sections and structure maps, which, in turn, were used in structural tectonic zoning of the study area. The map showing outcrops of Riphean formations and groups on the pre-Vendian erosion surface was complied. Tectonic schemes for three structural levels (upper Karelian–Lower Riphean, Middle–Upper Riphean and Vendian–Cambrian) confirmed their fundamental difference. In particular, the large Maya inclined swell was detected only in the topography of the Lower Riphean and is absent in the overlying structures of Middle Riphean–Vendian age, which are represented by weakly differentiated monoclines. The parameters of the major tectonic elements were determined.
Estimation of Fuel Moisture Content (FMC), Equivalent water thickness (EWT), Dry Matter Content (DMC), and Specific Leaf Area (SLA) in eucalypt leaves.
Authors: Younes Nicolas , Cain Sophia 
Published: October 2023

Abstract
This protocol outlines the collection procedure of eucalypt leaves for analysis of various plant traits and the measurement of important water and physical traits. Fuel moisture content, dry matter content, equivalent water thickness, and specific leaf area provide insights into the flammability and biomass available for burning and the impact of moisture content on the fuel particles. Calculation of these parameters can all be achieved using the simple gravimetric methods. The key stages of this protocol include the collection of samples (1 day), the calculation of surface area and fresh weight (approximately 20 samples processed in two hours) and the measurement of dry weight (approximately 40 samples processed per hour).
Analysis of Substrate and Shapes of Microstrip Antenna for 5G Wireless Communication
Authors: K PRIETHAMJE VITHYA , Varalakshmi L.M. 
Published: October 2023

Abstract
In recent years, the analysis of microstrip patch antenna (MPA) has bloomed the wireless communication. Since there are more compact gadgets in the wireless technology, more antenna come into existence with varying configuration and space orientation. The compactness proposed for the design of MPA becomes more challenging task for proper alignment, flexibility in feeding the line. MPA finds more advantageous than the earlier antenna with huge structures, which are likely installed at the proper height. The proposed radiator analysed for three shapes (rectangle, circle and triangle). In addition, the radiator analysed for different substrates such as Arlon, Epoxy, FR4, Polymide and Rogger 5880 using the software CST studio software 2019. The height if the dielectric layer is 1.6 mm.
CephaloNet: A Deep Learning based automatic landmark detection system for cephalometric X-ray images
Authors: Juneja Mamta , Saini Sumindar Kaur , Kaur Harleen , Verma Rishabh , Jindal Prashant 
Published: October 2023

Abstract
Landmark detection plays a vital role in describing the anatomy of the particular patient and provides a quantitative estimation of pathologies in the skull base and jaw regions. A common method used for landmarking is manually pointing the landmarks by experts, which proved to be a laborious and time consuming undertaking. Cephalometric analysis has key importance in clinical diagnosis, surgery and analysis. The advent of artificial intelligence and machine learning has made it possible to automate this process thus saving both time and labour in addition to improving accuracy and precision. In this paper, a novel artificially intelligent cephalometric landmark identification system for automatic cephalometric analysis has been proposed. The proposed model named, CephaloNet, employs a novel Convolution Neural Network (CNN) framework for detecting 19 anatomical landmarks. The model was trained and tested on the benchmark database of 400 lateral cephalograms. For effective training of the model, various preprocessing techniques were employed in order to increase the variability and number of images in the dataset. The experimental results depict the fair performance of the proposed method with 97.89% landmarks identified within 5 mm precision, 93.84% in 4 mm precision, 82.36% in 3 mm precision and 56.99% in 2 mm precision.
Eco-friendly and cost-effective adsorbent derived from blast furnace slag with black liquor waste for hazardous remediation
Authors: Naggar Ahmed H. , Dhmees Abdelghaffar , Seaf-Elnasr Tarek A. , Chong Kwok F. , Ali Gomaa A.M. , Ali Hazim M. , Alshamery Rasmih M. Kh. , AlNahwa Lubna H. M. , Bakr Al-Sayed A. 
Published: October 2023

Abstract
The current investigation concerns with preparation eco-friendly and cost-effective adsorbent (mesoporous silica nanoparticles (Mes-Si-NPs)) based on black liquor (BL) containing lignin derived from sugarcane bagasse and combining it with sodium silicate derived from blast furnace slag (BFS) for thorium adsorption. Thorium ions were adsorbed from an aqueous solution using the synthesized bio-sorbent (SBL), which was then assessed by X-ray diffraction, BET surface area analysis, scanning electron microscopy with energy dispersive X-ray spectroscopy (EDX) and Fourier transforms infrared spectroscopy (FTIR). Th(IV) sorption properties, including the pH effect, uptake rate and sorption isotherms across various temperatures were investigated. The maximum sorption capacity of Th(IV) on SBL is 158.88 mg/L at pH value of 4, 328 K, and 60 min contact time. We demonstrated that the adsorption processes comport well with pseudo-second-order and Langmuir adsorption models considering the kinetics and equilibrium data. According to thermodynamic inspections results, the Th(IV) adsorption process exhibited endothermic and random behavior suggested by positive ΔHº and ΔSº values, while the negative ΔGº values indicated a spontaneous sorption process. The maximum Th(IV) desorption from the loaded SBL (Th/SBL) was carried out at 0.25 M of NaHCO3 and 60 min of contact. Sorption/desorption processes have five successive cycles. Finally, this study suggests that the recycling of BFS and BL can be exploited for the procurement of a promising Th(IV) adsorbents.
Mutual information-based feature selection for inverse mapping parameter updating of dynamical systems
Authors: Kessels Bas M. , Fey Rob H. B. , de Wouw Nathan van 
Published: October 2023

Abstract

A digital twin should be and remain an accurate model representation of a physical system throughout its operational life. To this end, we aim to update (physically interpretable) parameters of such a model in an online fashion. Hereto, we employ the Inverse Mapping Parameter Updating (IMPU) method which uses an Artificial Neural Network (ANN) to map features, extracted from measurement data, to parameter estimates. This is achieved by training the ANN offline on simulated data, i.e., pairs of known parameter value sets and sets of features extracted from corresponding simulations. Since a plethora of features (and feature types) can be extracted from simulated time domain data, Feature Selection (FS) strategies are investigated. These strategies employ the mutual information between features and parameters to select an informative subset of features. Hereby, accuracy of the parameters estimated by the ANN is increased and, at the same time, ANN training and inference computation times are decreased.Additionally, Bayesian search-based hyperparameter tuning is employed to enhance performance of the ANNs and optimize the ANN structure for various FS strategies.Finally, the IMPU method is applied to a high-tech industrial use case of a semi-conductor machine, for which measurements are performed in closed-loop on the controlled physical system. This system is modeled as a nonlinear multibody model in the Simscape multibody environment. It is shown that the model updated using the IMPU method simulates the measured system more accurately than a reference model of which the parameter values have been determined manually.
Improvement of swallowing function in patients with non-inclusion body myositis using Food Intake LEVEL Scale; A single-centre retrospective study
Authors: Ohmura Shin-ichiro , Sato Keishiro , Nishimura Ritsu , Miyamoto Toshiaki 
Published: October 2023

Abstract

Objective. To compare long-term swallowing function outcomes between inclusion body myositis (IBM) and non-IBM patients with dysphagia using the Food Intake LEVEL Scale (FILS).
Methods. We retrospectively assigned consecutive patients with idiopathic inflammatory myopathy (IIM) from April 2000 to March 2022 who were diagnosed with IIM according to the 2017 American College of Rheumatology/European League Against Rheumatism criteria, and divided them into IBM and non-IBM patients. The primary endpoint was to compare the 1-year swallowing function outcomes between the IBM and non-IBM patients with dysphagia using the FILS after the onset of dysphagia.
Results. Of the 108 patients, 18 patients had dysphagia (IBM=3, non-IBM=15). The baseline FILS scores in IBM and non-IBM patients with dysphagia were similar; however, the FILS scores at the 1-year follow-up and last observation in non-IBM patients with dysphagia were significantly higher than those with IBM. The incidence of aspiration pneumonia during observation period was significantly lower in non-IBM patients with dysphagia than in IBM patients. The 5-year survival rate was significantly lower in the non-IBM patients with dysphagia than in the IBM patients.
Conclusion. The swallowing function of non-IBM patients with dysphagia improved compared to those with IBM despite their survival rate was very low.
Perturbed doubly nonlinear isotropic degenerate fractional parabolic equation
Authors: Huaroto Gerardo 
Published: October 2023

Abstract
In this paper, we investigate the existence of solutions for the perturbed double nonlinear isotropic degenerate fractional parabolic problem within bounded domains, subject to homogeneous Dirichlet boundary conditions. Our study employs the mathematical analysis techniques of semi-discretization method and Leray-Schauder’s fixed point theorem to establish the existence of solutions.
Association between dietary intake of vitamin D and risk of depression, anxiety and sleep disorders among physically active adults: A cross-sectional study
Authors: Hoseinabadi Vajiheh Arabshahi , Khoddami Mehrad , Milajerdi Maryam , Milajerdi Alireza 
Published: October 2023

Abstract
Background
Rare studies have been done to investigate association between dietary intakes of vitamin D and risk of mental health disorders among athletes. Current study aimed to investigate association between this vitamin intake and risk of depression, anxiety, and sleep disorders among a group of Iranian physically active adults.
Methods
This cross-sectional study was conducted among 690 healthy athletes (18–50 years, mean BMI between 20 and 30) in Kashan, Iran. Usual dietary intake of participants was assessed by a 147-item FFQ. Depression was assessed by the Beck Depression Inventory II (21-item), anxiety by the Beck Anxiety Inventory (21-item), and sleep disorders by the Pittsburgh Sleep Quality Index questionnaires. Statistical analyses were done by using SPSS version 18. P values < 0.05 were considered significant.
Results
No significant association was found between vitamin D dietary intake and risk of depression at the full-adjusted model (OR: 0.96, 95% CI: 0.62, 1.51). In contrast, participants at the highest tertile of vitamin D consumption had 49% lower risk of anxiety than those at the lowest tertile (OR: 0.51, 95%: 0.29, 0.87). Moreover, a significant 46% lower risk of sleep disorders was found among those with the highest intake of vitamin D in comparison to participants with the lowest intake (OR: 0.54, 95% CI: 0.37, 0.78).
Conclusion
We found a significant association between dietary vitamin D intake and reduced risk of anxiety and sleep disorders, but not with depression, in this study. Further prospective studies are recommended for the future investigations.
Symptom Clusters Among Advanced Colorectal Cancer Patients Receiving Chemotherapy: an exploratory factor analysis
Authors: Suratako Savitree , Matchim Yaowarat , Griffin Mary Quinn 
Published: October 2023

Abstract

Background Advanced Colorectal cancer patients receiving chemotherapy (AdCRCC) often experience suffering regarding many symptoms occurring simultaneously related to either cancer itself or chemotherapy or both. Currently, little is known about symptom clusters among these patients. Thus, the present study aimed to examine the symptom clusters across the two symptom dimensions of severity and distress among AdCRCC.
Methods Three hundred twenty AdCRCC were recruited from five hospitals in Bangkok, Thailand, and selected based on inclusion criteria. Data were collected between August 2022 to January 2023 by using a demographic data form, the participants’ medical records, and the Memorial Symptom Assessment Scale (MSAS). Descriptive statistics and exploratory factor analysis (EFA) were used to analyze the data.
Results The results showed the top five prevalent symptoms to be numbness/tingling in hands/feet, lack of energy, changes in skin, lack of appetite, and “I don’t look like myself.” The most frequent severity symptom was numbness/tingling in hands/feet, while difficulty sleeping was reported to be the most frequent distress symptom. There were five symptom clusters in the dimension of symptom severity, with a 38.474% variance in all the symptoms. These clusters were emotion-related symptoms; GI-, and fatigue-related symptoms; lack of appetite and difficulty sleeping–related symptoms; problems with sexual interest–related symptoms; and image-related cutaneous symptoms. There were five symptom clusters in the distress dimension, with 43.210% variance explained in all the symptoms. These clusters were emotion-related symptoms; lack of appetite and difficulty sleeping–related symptoms, problems with sexual interest–related symptoms; image- related cutaneous symptoms; and GI- and pain-related symptoms.
Conclusions This study highlights important symptom cluster among AdCRCC. Understanding symptom clusters reported specifically among these patients may help healthcare providers to develop appropriate interventions for better symptom management for AdCRCC.
EPDRNA: a model for identifying DNA-RNA binding sites in disease-related proteins
Authors: sun Canzhuang , feng Yonge 
Published: October 2023

Abstract

Protein-DNA and protein-RNA interactions are involved in many biological processes and essential cellular functions, and most of them are related to disease. To understand the molecular mechanism of protein-DNA binding and protein-RNA binding, it is important to identify which residues in the protein sequence bind to DNA and RNA. At present, there are few methods for specifically identifying the binding sites of disease-related protein-DNA and protein-RNA. In this study, so we developed an ensemble model to predict DNA and RNA binding residues in disease-associated proteins. The data set used in training model was collated from Uniprot and PDB database, and PSSM, physicochemical properties and amino acid type were used as features. The EPDRNA achieved the best AUC value of 0.73 at the DNA binding sites, and the best AUC value of 0.71 at the RNA binding sites in 10-fold cross validation in the training sets. In order to further verify the performance of the model, we did independent test. The EPDRNA achieved 85% recall rate and 25% precision on the protein-DNA interaction independent test set, and achieved 82% recall rate and 27% precision on the protein-RNA interaction independent test set. The online EPDRNA webserver is freely available at http://www.s-bioinformatics.cn/epdrna.
Design of polyamidoamine dendrimer grafted zeolite to remove malachite green from aqueous media
Authors: Karimi Somayeh , Saraji Mohammad 
Published: October 2023

Abstract
The present study describes a new, non-toxic and low-cost composite of zeolite/graphitic carbon nitride modified with highly branched polyamidoamine dendrimer (ZMPA). Graphitic carbon nitride, as an inexpensive and non-toxic compound with different C-N bonds (-NH2), was applied to grow PAMAM on zeolite/g-C3N4 composite. Fourier transform infrared, X-ray diffraction analysis, field emission scanning electron microscopy and energy-dispersive X-ray analysis were used to confirm and characterize of ZMPA The adsorption properties associated with the adsorbent considered to remove malachite green (MG) were surveyed using the batch method. Therefore, the influential parameters on the performance of the adsorbent for the removal of MG, such as pH, contact time, initial concentration and adsorbent dosage, were investigated and optimized. The results showed that the maximum adsorption capability of ZMPA was determined to be 1111 mg g− 1 at pH 10 for 30 minutes. These results could be explained by the high electrostatic interaction, and/or trapped dye molecules in the cavities between the absorbed and the absorbent. The novel zeolite composite may be regarded as a promising adsorbent for MG removal in various wastewater samples (paint, textile industries) with high adsorption capacity and removal rate.
Using symbiotic empirical ethics to explore the significance of relationships to clinical ethics: findings from the Reset Ethics research project
Authors: Redhead Caroline A B , Frith Lucy , Chiumento Anna , Fovargue Sara , Draper Heather 
Published: October 2023

Abstract
Background At the beginning of the coronavirus (Covid-19) pandemic, many non-Covid healthcare services were suspended. In April 2020, the Department of Health in England mandated that non-Covid services should resume, alongside the continuing pandemic response. This ‘resetting’ of healthcare services created a unique context in which it became critical to consider how ethical considerations did (and should) underpin decisions about integrating infection control measures into routine healthcare practices. We draw on data collected as part of the ‘NHS Reset Ethics’ project, which explored the everyday ethical challenges of resetting England’s NHS maternity and paediatrics services during the pandemic.Methods Healthcare professionals and members of the public participated in interviews and focus group discussions. The qualitative methods are reported in detail elsewhere [Chiumento, et al. 2023, forthcoming]. The focus of this article is our use of Frith’s symbiotic empirical ethics methodology to work from our empirical findings towards the normative suggestion that clinical ethics should explicitly attend to the importance of relationships in clinical practice. This methodology uses a five-step approach to refine and develop ethical theory based on a naturalist account of ethics that sees practice and theory as symbiotically related.Results The Reset project data showed that changed working practices caused ethical challenges for healthcare professionals, and that infection prevention and control measures represented harmful barriers to the experience of receiving and offering care. For healthcare professionals, offering care as part of a relational interaction was an ethically important dimension of healthcare delivery.Conclusions Our findings suggest that foregrounding the importance of relationships across a hospital community will better promote the ethically important multi-directional expression of caring between healthcare professionals, patients, and their families. We offer two suggestions for making progress towards such a relational approach. First, that there is a change of emphasis in clinical ethics practice to explicitly acknowledge the importance of the relationships (including with their healthcare team) within which the patient is held. Second, that organisational decision-making should take into account the moral significance afforded to caring relationships by healthcare professionals, and the role such relationships can play in the negotiation of ethical challenges.
Optimal scheduling of hydrogen compressed air energy storage including forecast uncertainty
Authors: Klaas Ann-Kathrin , Beck Hans-Peter , Hauer Ines 
Published: October 2023

Abstract

Large-scale energy storage power plants are indispensable for the transition towards a net-zero energy system. The concept of a hydrogen compressed air energy storage (HCAES) power plant combines high storage capacities of hydrogen storage with the high fuel efficiency of diabatic compressed air energy storage. Profitable operation of such a storage power plant can avoid complex governmental incentives. The purpose of this research is the analysis of the effect of forecast limitations and uncertainties on the profitable operation of a hydrogen compressed air energy storage participating in multiple energy markets simultaneously. Implemented methods include a linear programming model with rolling horizon optimization as well as two statistical price forecasting methods. The results show that forecasts with good qualitiy and long forecast horizons are favorable to guarantee profitable operation of the HCAES power plant.