bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extracting Multimodal Surface-Wave Dispersion Curves from Ambient Seismic Noise Using High-Resolution Linear Radon Transform
Authors: Jin Hao , Luo Yinhe , Yang Yingjie , Zhao Kaifeng 
Published: August 2024

Abstract
In the past two decades or so, ambient noise tomography (ANT) has emerged as an established method for imaging subsurface seismic velocity structures. One of the key steps in ANT is to extract surface-wave dispersion curves. The predominant approach for subsurface shear-wave velocity structure inversion involves utilizing fundamental-mode surface waves in ANT. Nevertheless, a notable challenge encountered is the issue of nonuniqueness when employing the dispersion information of fundamental-mode surface waves to invert for shear-wave velocity models. The inclusion of higher-mode dispersion curves in the inversion offers several benefits, including the reduction of nonuniqueness, enhancement of inversion stability, and decreased dependence on the initial model. In this study, we illustrate the applicability of the high-resolution linear radon transform method (HRLRT) for extracting multimodal surface-wave dispersion energy from ambient seismic noise data. We apply HRLRT to both the synthetic noise data and real data recorded by USArray. Our results of applications show that the HRLRT method can extract multimodal surface-wave dispersion information. Compared with established methods such as the frequency–Bessel transform and multicomponent frequency–Bessel transform, the HRLRT exhibits an advantage in suppressing “crossed” artifacts and the second-/third-type artifacts caused by sparse spatial sampling, and the resulting dispersion energy from HRLRT has narrower peaks, meaning high resolution of dispersion curves based on the HRLRT method.
A Benchmarking Method to Rank the Performance of Physics-Based Earthquake Simulations
Authors: Gómez-Novell Octavi , Visini Francesco , Pace Bruno , Álvarez-Gómez José A. , Herrero-Barbero Paula 
Published: August 2024

Abstract
Physics-based earthquake simulators are an increasingly popular modeling tool in earthquake forecasting for seismic hazard as well as fault rupture behavior studies. Their popularity comes from their ability to overcome completeness limitations of real catalogs, and also because they allow reproducing complex fault rupture and interaction patterns via modeling the physical processes involved in earthquake nucleation and propagation. One important challenge of these models revolves around selecting the physical input parameters that will yield the better similarity to earthquake relationships observed in nature, for instance, the frictional parameters of the rate-and-state law—a and b—or the initial normal and shear stresses. Because of the scarcity of empirical data, such input parameters are often selected by trial–error exploration and predominantly manual model performance analyses, which can overall be time consuming. We present a new benchmarking approach to analyze and rank the relative performance of simultaneous earthquake simulation catalogs by quantitatively scoring their combined fit to three reference function types: (1) earthquake-scaling relationships, (2) the shape of the magnitude–frequency distributions, and (3) the rates of the surface ruptures from paleoseismology or paleoearthquake occurrences. The approach provides an effective and potentially more efficient approximation to easily identify the models and input parameter combinations that fit more closely to earthquake relations and behavior. The approach also facilitates the exhaustive analysis of many input parameter combinations, identifying systematic correlations between parameters and model outputs that can potentially improve the overall understanding of the physics-based models. Finally, we demonstrate how the method results agree with the published findings in other earthquake simulation evaluations, a fact that reinforces its overall usefulness. The model ranking outputs can be useful for subsequent analyses, particularly in seismic hazard applications, such as the selection of appropriate earthquake occurrence rate models and their weighting for a logic tree.
Shallow Structure and Seismic Amplification Effects in the Weifang Segment of the Tanlu Fault Zone Based on the Spectral Ratio Method
Authors: Zhou Guili , Yao Huajian 
Published: August 2024

Abstract
The Weifang segment of the Tanlu fault zone (TLFZ) is located in the central section of the TLFZ, eastern China, and has been identified as an earthquake gap zone. Previous studies in the region have mainly focused on the crustal velocity structure and anisotropy, with limited attention to the shallow near-surface structures. In this study, we analyzed the distribution of sediment thickness and evaluated the seismic amplification effects in the Weifang segment of the TLFZ using the horizontal-to-vertical spectral ratio (HVSR) method and the standard spectral ratio (SSR) method. The data we used are from a dense array of 302 three-component seismometers deployed in 2017 for three months. The lowest peak frequency of HVSR indicates that the northwestern part of the study area exhibits relatively thicker sedimentary deposits, estimated to be 800–1200 m in thickness, consistent with both tomographic and geological studies. The SSRs are calculated from 43 regional and teleseismic earthquakes with respect to 12 reference stations. The results from SSR show strong amplification in the 0.2–2 Hz frequency range for sites on the northwestern part, and the amplitude can be up to 15 times larger than that of the bedrock site. We also find significant amplification effects as well as thick sedimentary layers at specific stations along the eastern branch of the TLFZ, suggesting a localized low-velocity zone along the fault. Our results also demonstrate that using the single-site seismic method can provide new constraints on the fine structure and site responses of the fault zone, which are important for seismic hazard assessment.
Description of Gamasellus onitiae sp. nov. (Ologamasidae: Mesostigmata) from Dung Beetle, Onitis philemon (Coleoptera: Scarabaeidae)1
Authors: Radhakrishnan V. , Allwin L. , Vijay S. , Baskaran V. , Ravi M. , Sivakumar S.D. , Indiragandhi P. , Ramaraju K. 
Published: August 2024

Abstract
Gamasellus onitiaesp. nov. (Ologamasidae: Mesostigmata) has been identified and described after being been collected from a dung beetle, Onitis philemon (Scarabaeidae, Coleoptera), in India. The specimen was found to be attached via a claw to the head region of the beetle. The mite–beetle association appeared to be phoretic. The distal setae, ventral setae, sternal shield length, and peritreme of G. onitiae sp. nov. differ from those of the closely related Gamasellus falciger (G. Canestrini & R. Canestrini), Gamasellus deepdelensis (Ryke), Gamasellus racovitzai (Jumeau and Usher), and Gamasellus bellavistae Emberson.
Spontaneous Intracranial Hemorrhage in a 34-Year-Old Male Patient Related to Hypertensive Emergency
Authors: Nurmalasari Mifta , Widodo Djoko 
Published: August 2024

Highlight:

Unhealthy lifestyles are believed to be cause of hypertension at a young age.
Untreated hypertension increases cardiovascular disease morbidity and mortality.
The incidence of intracranial hemorrhage associated with hypertension is approximately 60%. It commonly occurs in the deep brain structure, which is considered to have a poor clinical outcome.

ABSTRACT
Introduction: The incidence of hypertension is currently moving toward younger ages. It’s thought that an unhealthy lifestyle serves as a trigger. Hypertension can increase morbidity and mortality related to cardiovascular disease, even at a young age. This case report is intended to report the incidence of spontaneous intracranial hemorrhage in a 34-year-old male patient during a hypertensive emergency. Case: A 34-year-old male patient was rushed to the emergency unit at midnight due to a sudden decrease in consciousness. Headaches and seizures occurred before admission. The patient denied having any history of head trauma. The patient’s habits included excessive caffeine consumption, frequent late-night sleeping, and extensive smoking. At the time of admission, the patient’s vital signs indicated a poor clinical condition: GCS E1V1M1, BP 212/118 mm/Hg, deep irregular rapid breathing, sometimes followed by periodic apnea, RR 28 breath/minute, HR 111 beat/minute, SpO2 50%, T 36.8°C, which gradually developed hyperthermia. Both eyes had constricted and fixed pupils; the light reflexes were negative. A neurological examination revealed the body’s left lateralization. The head CT scan without contrast indicated hemorrhage in the right intracerebral, midbrain, pons, intraventricular, and subarachnoid areas, with estimated total volume of about 31 ml. Conservative treatment was chosen due to the bleeding location in the deep brain structure of GCS 3, which was considered to have a poor outcome. Conclusion: Hypertension in the younger age group is commonly associated with unhealthy lifestyles, which increase morbidity and mortality related to cardiovascular disease.
Chemotherapy-Induced Peripheral Neuropathy: Pathophysiology, Diagnosis, and Treatment
Authors: Justitia Ica , Dewi Putri Krishna Kumara , Fauzi Yanuar Rahmat , Hunaifi Ilsa 
Published: August 2024

Highlight:

Chemotherapy induces neurotoxicity through DNA crosslink, impaired calcium homeostasis, mitochondrial damage, increased reactive oxygen species, pro-inflammatory cascade, axon degeneration, and programmed cell death.
CIPN has a primary impact on the sensory neuron.
CIPN is diagnosed based on the patient's history, chemotherapy history, and neurologic examination. Some pharmacological and non-pharmacological treatments are hypothesized to reduce CIPN symptoms, but only duloxetine is recommended.

ABSTRACT
Chemotherapy-induced peripheral neuropathy (CIPN) is the most common and severe neurological side effect of many commonly used chemotherapy agents. It affects more than 60% of cancer patients. Approximately 30%–40% of patients have persistent symptoms five months or longer after stopping treatment. Even years after completing chemotherapy, some patients still experience CIPN symptoms. CIPN increases the annual cost of healthcare, leads to detrimental dose reduction and even cessation of treatment, and severely affects cancer survivors’ quality of life. Chemotherapy induces neurotoxicity through a variety of mechanisms that lead to neuronal cell damage or cell death. This mechanism of neurotoxicity varies depending on the specific agent. CIPN is characterized predominantly by sensory axonal peripheral neuropathy. Motor and autonomic symptoms may appear, but less frequently. To diagnose CIPN, a thorough patient's history and neurological examination are required. The current approach to CIPN management focuses on managing the symptoms of neuropathic pain and reducing or stopping the chemotherapy agent when CIPN manifests. There is no proven or advised prophylaxis therapy for CIPN. The point of this review was to talk about how some commonly used chemotherapy agents (such as platinum-based compounds, taxanes, vinca alkaloids, bortezomib, and thalidomide) cause CIPN, how to diagnose it, and the newest treatments that are available.
Profile of Meningioma Patients at Dr. Soetomo General Academic Hospital
Authors: Valeryna Natasha , Ardiansyah Djohan , Susanto Joni , Utomo Sri Andreani 
Published: August 2024

Highlight:

Meningioma, the most common primary brain tumor, is typically found in women aged 40-49 years old.
Meningiomas can show distinctive characteristics on clinical, radiological, and histopathological examinations.
There were significant differences in histopathological grading between male and female patients, as well as between homogenous and heterogenous contrast enhancement.

ABSTRACT
Introduction: Meningioma is an intracranial extracranial tumor that arises from arachnoid cells. It is reported to be the most common primary brain tumor (39%). Meningioma is diagnosed based on clinical and radiological findings, but a definitive diagnosis requires histopathology examination. However, the clinical, radiological, and histopathological profile of meningioma is rarely studied in Indonesia. Objective: This study aimed to identify the clinical, radiological, and histopathological profile of meningioma patients at Dr. Soetomo General Academic Hospital Surabaya from 2017 to 2021. Methods: This was a retrospective observational study with a cross-sectional design using secondary data collected from electronic medical records at Dr. Soetomo General Academic Hospital Surabaya in 2017-2021. Results: A total of 256 patients were included in this study. The majority of the patients in this study were female (83.98%), aged 40-49 years old (43.36%), and mostly had the clinical symptom of headache (35.94%). Meningiomas were mostly WHO grade I (85.16%), with a transitional subtype (44.92). Based on the Kruskal-Wallis test, there were differences in histopathological grading between male and female patients (p = 0.000), as well as between homogenous and heterogenous tumor enhancement (p = 0.027). However, there were no differences in histopathological grading between the dural tail findings (p = 0.181) and hyperostosis findings (p = 0.135). Conclusion: Meningioma was found to be more common in females than in males, with the peak occurring in 40-49 years old. The most prevalent clinical symptom was headache, and convexity was the most common location for these tumors, most of which were larger than 3 cm. The majority of meningiomas were WHO grade I with transitional subtype.
Assessing the Potential Diagnostic Value of Indonesian Local Allergen Skin Prick Testing (SPT) for Cow’s Milk Allergy among Atopic Dermatitis Patients
Authors: Anggraeni Sylvia , Damayanti  , Umborowati Menul Ayu , Prakoeswa Cita Rosita Sigit 
Published: August 2024

Background: Atopic dermatitis (AD) is a multifactorial chronic, frequently recurrent, inflammatory skin condition. The development of IgE-mediated food allergies and food sensitivity are both associated with atopic dermatitis. Cow’s milk allergy (CMA) caused the most common hypersensitivity reaction during childhood; however, the prevalence in adults is around 0.5%. Patients with AD use the Skin Prick Test (SPT) to evaluate the specific sensitization process. Purpose: This study aimed to assess cow's milk allergy among adult AD patients using local allergen extract SPT, standard SPT, and specific IgE (sIgE), as well as evaluating the conformity and relevance of the test results. Methods: Using consecutive sampling technique, the study was conducted twice on 45 adult AD patients with a one-week interval between administrations. Result: Local cow's milk SPT showed 4 positive results, and standard SPT showed 5. No sIgE test was positive. Local SPT was negative for 86.67% of individuals without a history of suspected cow's milk allergies. Standard SPT results were positive for 2.22% of individuals with a history of suspected cow's milk allergies and negative for 86.67% of those without. The relevance between local and standard SPT was shown to be substantial (k = 0.384, p = 0.000). Conclusion: The result of the local cow’s milk SPT and the patient’s history had good conformity, and the relevance with standard SPT was significant in diagnosing cow’s milk allergy among AD patients.
Assessment of the Drought Regime in SA, Based on Drought and Vegetation Indices
Authors: Chivangulula Fernando Maliti , Amraoui Malik , Pereira Mário Gonzalez 
Published: August 2024

Drought affects human and natural systems, human and animal life and health, and socioeconomic activities. Drought consequences depend on its type and class, but also on the preparedness and resistance of communities to this climate disturbance. In the last decades, droughts accounted for about 16% of the total number of disasters but were responsible for 95% of the number of deaths and 26% of economic losses in Africa. This study aims to assess the drought regime in Southern Africa based on drought and vegetation indices. The SPI and SPEI were calculated at different timescales, using ERA5 data for the 1971 – 2020 period. The spatiotemporal distribution of drought descriptors was analyzed and compared with the patterns of the NDVI, EVI and VCI vegetation indices. The results reveal (i) the occurrence of droughts of various classes and at different timescales throughout the study period and region, (ii) high spatial variability in the number, duration, severity and intensity of drought, which tends to decrease with increasing timescale, (iii) high spatial-temporal agreement between drought and vegetation indices that confirm the dryness of vegetation during drought. These results aim to support policymakers in defining legislation to manage drought and water resources.
A Dimensional Analysis for Cost Optimization and Cost-Effective Carbon Capture: A Comparative Study of Hybrid Post-Combustion Configurations in Natural Gas Power Plants
Authors: Obi Donald , Onyekuru Samuel , Orga Anselem 
Published: August 2024

Carbon capture, utilization, and storage (CCUS) considered a the key strategy for reducing the emissions of anthropogenic carbon dioxide from power generation plants, can be achieved by three main technologies: oxy-fuel combustion, pre-combustion, and post-combustion capture.
Post-combustion carbon capture (PCC), where CO2 is removed after the fuel burning, is a crucial solution for reducing greenhouse gas emissions from natural gas power plants (NGPPs). However, high costs and energy penalties associated with PCC technologies hinder their widespread adoption.
Recent advancements in hybrid PCC configurations have shown promise in improving efficiency and reducing costs. In effect, six PCC hybrid configurations below were identified as feasible process routes:

•	2S-AB +AD: Two-stage Absorption + Adsorption hybrid
•	2S-AB +MB: Two-stage Absorption + Membrane hybrid
•	2S-AD +AB: Two-stage Adsorption + Absorption hybrid
•	2S-AD +MB: Two-stage Adsorption + Membrane hybrid
•	2S-MB +AB: Two-stage Membrane + Absorption hybrid
•	2S-MB +AD: Two-stage Membrane + Adsorption hybrid

Each hybrid has its own technical and economic challenges that need to be investigated in order to identify the best technique for carbon capture. In this paper, we performed Aspen Hysys design simulation of the six hybrids PCC configurations and also their economic evaluations using parameters like investment costs, operating costs, net present value, and rate of return, culminating in the use of three assessment parameters namely, levelized cost of electricity (LCOE), carbon emission intensity (CEI) and cost of carbon avoidance (COA), to evaluate the six hybrids PCC configurations and to determine the most viable option.

Overall, it was found by dimensional analysis that the post combustion carbon capture using 2S-MB +AB: Two-stage Membrane + Absorption hybrid is the most viable for capturing CO2 from power generation plants and is hereby recommended. However, the choice of materials (membranes and absorbents) needs to be evaluated so as determined the best optimal configuration for commercialization.
N-CADHERIN+/CD168- subpopulation determines therapeutic variations of UC-MSCs for cardiac repair after myocardial infarction
Authors: Wu Yukang , Li Jianguo , Feng Ke , Tan Ailing , Gao Yingying , Chen Wen , Jia Wenwen , Guo Xudong , Kang Jiuhong 
Published: August 2024

Abstract

Background The efficiency of mesenchymal stem cells (MSCs) in treating myocardial infarction (MI) remains inconsistent, which limits their therapeutic applications. Therefore, exploring the mechanism for the inconsistent efficacy of MSCs and identification the criteria for screening MSCs are important for improving the efficiency of MSCs.Methods Mouse model after myocardial infarction was utilized to test the role of MSCs from different donor in improving cardiac function. Heterogeneity of MSCs was identified using scRNA-seq of MSC-GY, GSEA and Scissor analyses were used to find the functional subpopulations of MSCs that promote angiogenesis. The role of functional subpopulations in promoting angiogenesis was verified by detecting the secretome proteins, the ratio of N-CADHERIN+/CD168− subpopulations in MSCs, and the tube formation, migration, and proliferation of HUVECs after treatment with conditional medium (CM) derived from different MSCs.Results We found that UC-MSCs from different donors have varied therapeutic efficacy in MI mice and UC-MSCs with higher therapeutic effectiveness exhibited the most potent pro-angiogenic effects by secreting elevated levels of angiogenesis-related proteins, such as MYDGF, VEGFA, and FGF2. Single-cell RNA sequencing (scRNA-seq) of 10,463 UC-MSCs revealed that the N-cadherin+/CD168− subpopulation was closely associated with pro-angiogenic effects, and the ratio of this cell subpopulation was positively correlated with the angiogenic potential of MSCs.Conclusions Our study identified that the N-CADHERIN+/CD168− subpopulation was the functional subpopulation of MSCs in treating MI, which is essential for the development and utilization of MSCs in MI treatment.
Production of Xylo-oligosaccharides from Corncob Using High Efficiency Xylanase from Trichoderma harzianum 4FR8
Authors: Chaiyates Ravinan , Mahakhan Polson , Sawaengkaew Jutaporn 
Published: August 2024

Abstract

Xylo-oligosaccharides (XOS) are oligosaccharides components derived from hemicelluloses. Classified as non-digestible sugars, XOS can promote the growth of beneficial bacteria within the gastrointestinal tract, thereby contributing to human health; XOS have been widely used in industry as a prebiotic. Therefore, this research investigated optimizing the conditions for xylanase and XOS production using corncob and wheat bran. The parameters investigated included pH, moisture content, and incubation time. Purified xylanase with ammonium sulfate used an optimum fraction of 40–60%, dialysis, and column chromatography (DEAE-cellulose). The molecular mass of the purified enzyme was 18 kDa. The purified enzyme remained at over 80% relative activity at 40 min at the optimal temperature. The Km and Vmax values using beechwood xylan were 6.57 mg.mL− 1 and 18,298.26 U.mg− 1 respectively. XOS produced through xylanase hydrolysis of corncob exhibited the ability to promote the growth of probiotic strains Lactobacillus lactis TISTR1464 and Bifidobacterium bifidum TISTR2129, suggesting its potential application in prebiotic development. These findings highlight the feasibility of utilizing sustainable agricultural residues like corncob for the production of prebiotic XOS via an enzymatic approach. This enzymatically derived product demonstrates potential for various commercial applications, with particular viability for the food and nutraceutical industries.
Autonomous AI for diabetic eye disease at primary care improves ophthalmic access for at-risk patients
Authors: Liu T.Y. Alvin , Leong Ariel , Wolf Risa , Channa Roomasa , Wang Jiangxia , Lehmann Harold , Abramoff Michael 
Published: August 2024

Abstract

We examined which subgroups of patients benefit the most from deployment of autonomous artificial intelligence (AI) for diabetic eye disease (DED) testing at primary care clinics through improved patient access to ophthalmic care. Patients (n = 3,745) were referred to ophthalmology either via standard of care (primary care provider placed a referral) or AI (referral was made after a positive or non-diagnostic autonomous AI result). Both groups presented with good vision (median best-corrected visual acuity BCVA of worse-seeing eye was Snellen 20/25), without significant difference in the presenting BCVA between both groups. BCVA was not associated with the referral pathway in multivariable regression analysis. However, patients from the AI referral pathway were more likely to be Black (p < 0.001) and have hypertension (p = 0.001), suggesting that deployment of autonomous AI is associated with improved ophthalmic access for patients with a higher baseline risk for poor DED outcome before vision loss has occurred.