bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applicative Coal Petrology for Industries: New Paradigms
Authors: Singh Prakash K. 
Published: September 2022

Abstract
Coal petrology plays a significant role in understanding coal behaviour during various industrial processes such as carbonization, gasification and liquefaction and helps in characterizing them accordingly. Proper use of fluorescence microscopy and vitrinite reflectance measurement is crucial; carbonization study shows that maceral composition and rank affect the thermoplasticity wherein vitrinite contributes most to the coke formation. Further, the vitrinite is catalyzed by the presence of exsudatinite. Liptinite, when associated with vitrinite, lowers the viscosity of coal during coke making. Coal petrology is successfully used to assess suitability of a coal for coking to predict coke strength and to evaluate coal for coal-blend designing. Composition, structure and behaviour of coke are revealed through petrographic study. The stability and reactivity of coke can also be realised through microscopy. Gasification of coal is performed best in bituminous coal while it is expensive in case of low rank or low grade coals. It can be a simple coal gasification, fixed bed gasification, fluidized-bed gasification, entrained-flow and molten-bath coal gasification. Though any coal may be used for gasification but coal with high reactive components are more suitable but bituminous coal with high inertinite is also suitable as per few researchers. Some minerals have catalytic effect while others act as inhibitors. Elemental composition of organic and inorganic matter of coal, its surface characteristics, porosity and intrinsic reactivity have important bearing on efficiency of gasification. Coal liquefaction is a clean fuel technology which requires proper petrological characterization of coal before processing it. Rank and type of coal along with its composition influence the liquefaction behaviour. Thus, it is imperative to carry out a complete coal microscopy before coal is utilized for making coke/coke-blend or liquid and gaseous hydrocarbon.
Changes in River Channel Dynamics of the Satluj River, Punjab: Using a Geospatial Approach
Authors: Sharma Rahul , Patel Shashikant , Litoria Pradeep K. , Pateriya Brijendra 
Published: September 2022

Abstract
River channel change is a dynamic process which involves erosion, accretion, lateral migration and changes in its width through the geomorphological process. Shifting of a river causes a direct impact on natural and manmade constructions which are located near the floodplain with consistent damage and devastation of the area. The objective of this study is to analyze the spatiotemporal variation along the Satluj river during the period 1990 to 2019 using Landsat TM, ETM+ and OLI satellite data. Spatiotemporal analysis of the river channel has been carried out to analyze the river channel change morphology, mid-line channel shifting and changes in surface water area of the Satluj river using twenty randomly distributed cross-sections (X1-X20). For surface water area change analysis, the satellite derived normalized difference water index (NDWI) has been used. The obtained results indicates that the river width increased by 0.033 km in overall cross-section (X1-X20) in the year 2019 as compared to the year 1990. Mid-line shifting of the river is mostly towards the left bank of the river. The maximum channel shifting of 1.364 km took place from Chak Bandala village in Jalandhar district to Madarpur village in Moga district between the years 1990 and 2019. However, the NDWI results indicate that the river surface area has been reduced by -90.33 km2 between the years 1990 and 2019. Additionally, the average shifting rate of the Satluj river during the period 1990 to 2019 is by 0.778 km.
Morphometric Analysis of Yamuna River Basin in Delhi Region: Implications to Hydrological Hazards
Authors: Verma Mithila , Haq Ahsan Ul 
Published: September 2022

Abstract
Morphometric analysis has been performed for three sub-basins of Yamuna river catchment in Delhi region to gain understanding on differential response of individual sub-basins to rainfall and related hazards viz., surface runoff, soil erosion, flood vulnerability and potential. Sub-basins Delhi central and Delhi east show overall higher soil erodibility and flood potential than Delhi west. Delhi central is more responsive to rainfall induced surface runoff and soil erosion due to its higher relief and complex landscape configuration. The inferences made by morphometric analysis are supported by rainfall trend analysis for past 30 years. Revisiting severe flood events during last one century helped in specifying the areas with higher vulnerability and susceptibility to similar floods in future. The results thus obtained would help in prioritizing the areas for risk assessment and flood management, especially the parts of Delhi east and Delhi central sub-basins that are most vulnerable to floods.
Deterministic and Probabilistic Seismic Hazard Analysis of Tindharia, Darjeeling Sikkim Himalaya, India
Authors: Rao G.N.S. Neharika , Satyam D. Neelima 
Published: September 2022

Abstract
The simulation of appropriate ground motion is the main objective in earthquake-resistant designing to mitigate the impact of landslides and structural damages. The seismic hazard studies serve as the basis for quantifying the hazard associated within the particular area over a given time period. In this study, the detailed site specific hazard analysis of Tindharia site as well as Darjeeling Sikkim Himalaya (DSH) region has been carried out to assure the safety of human and infrastructure against seismic risk. The study area is mountainous region on north western side of India, falls in seismic zone IV and V, and is one of the most seismically active regions with vulnerable earthquakes along with fatal landslides. The future large earthquakes are likely to occur in the region due to constant movement of Indian plate towards Eurasian plate. Therefore, the heightened seismic risk increases the demand for seismic studies near the Himalayan belt. Thus, the assessment of associated seismic hazard in the study area has been carried out by deterministic and probabilistic seismic hazard approaches. From the results, the seismo-tectonic map of a 300km radial distance of the study area is developed. The deterministic hazard distribution in terms of peak ground acceleration (PGA) and the PGA and peak spectral acceleration (PSA) hazard maps for 2% and 10% probability of exceedance in 50 years at different time periods have been generated. The updated hazard maps developed in this study play pivotal roles in mitigation measures with better pre-disaster prevention by earthquake resistant design and in preparedness and post disaster rescue in the study area.
Probabilistic Seismic Hazard Analysis of Hazara Kashmir Syntaxes and its Surrounding
Authors: Hussain Shah Syed Fahad , Ningsheng Chen , Khaliq Ahmad Hammad , Alam Mehtab , Ahmad Hilal , Rahman Mahfuzur 
Published: September 2022

Abstract
The Hazara Kashmir syntaxes (HKS) is located in the western Himalayas in Pakistan that marks the easternmost proximity of the western Himalayan mountain system and is regarded as one of the most tectonically active domains of the world. In this study, the seismic ground motion parameters have been calculated for Hazara Kashmir syntaxes and its surrounding. The seismic hazard parameters were computed using probabilistic seismic hazard analysis (PSHA) and the standard Cornell–McGuire method at each grid spacing of 0.1o × 0.1o. This study encompasses the seismic records of the historical and instrumental database to establish the recurrence relationship based on an appropriate ground motion prediction equation (GMPE). Recently developed, the Boore and Atkinson (2008) next-generation attenuation (NGA) and Akkar and Bommer (2007) attenuation relationships were adopted for hazard computation. The resultant peak ground acceleration (PGA) maps and spectral intensity curves at T = 0.05 to T = 3, for 100, 250, 475, 1000, and 2500 year return periods have been estimated at bedrock level. This study concludes that the seismic provision for the building code of Pakistan needs to be revised and updated.
Development of a ddPCR assay for the detection of the Smoky Madtom (Noturus baileyi) from eDNA in stream water samples
Authors: Aunins Aaron W. , Eackles Michael S. , Super Paul E. , Kulp Matt A. , Nichols Becky J. , Lubinski Barbara A. , Morrison Cheryl L. , King Tim L. 
Published: September 2022

AbstractThe Smoky Madtom Noturus baileyi is a federally endangered species, whose native distribution includes lower Abrams Creek in Great Smoky Mountains National Park (GRSM) and Citico Creek in nearby Cherokee National Forest. Due to challenges for bio-monitoring posed by its nocturnality and cryptic life history, an environmental DNA (eDNA)-based approach for detection would be useful to complement existing electrofishing and seining efforts to better understand the distribution of this species. We developed a probe-based droplet digital PCR (ddPCR) assay to detect Smoky Madtoms from non-invasively collected water samples. The assay was specific to N. baileyi and did not amplify concentrated genomic DNA of 16 co-occurring or regional fish species, including the yellowfin madtom N. flavipinnis and stonecat N. flavus. The assay limit of detection (LOD) was determined to be 4.18 copies (95% CI: 3.95, 4.41). Several 2 L water samples collected from throughout various streams in GRSM in 2016 and 2017 were tested for the presence of N. baileyi using the ddPCR assay. N. baileyi was detected at two different sites in 2016 and 2017 within Abrams Creek previously known to contain N. baileyi, but no novel detections in other sampled streams were observed. This assay should prove useful for continued surveys of N. baileyi in GRSM.
Confidence estimation for t-SNE embeddings using random forest
Authors: Ozgode Yigin Busra , Saygili Gorkem 
Published: September 2022

AbstractDimensionality reduction algorithms are commonly used for reducing the dimension of multi-dimensional data to visualize them on a standard display. Although many dimensionality reduction algorithms such as the t-distributed Stochastic Neighborhood Embedding aim to preserve close neighborhoods in low-dimensional space, they might not accomplish that for every sample of the data and eventually produce erroneous representations. In this study, we developed a supervised confidence estimation algorithm for detecting erroneous samples in embeddings. Our algorithm generates a confidence score for each sample in an embedding based on a distance-oriented score and a random forest regressor. We evaluate its performance on both intra- and inter-domain data and compare it with the neighborhood preservation ratio as our baseline. Our results showed that the resulting confidence score provides distinctive information about the correctness of any sample in an embedding compared to the baseline. The source code is available at https://github.com/gsaygili/dimred.
A comparative evaluation of anti-tumor activity following oral and intravenous delivery of doxorubicin in a xenograft model of breast tumor
Authors: Rehan Farah , Emranul Karim Md. , Ahemad Nafees , Farooq Shaikh Mohd. , Gupta Manish , Gan Siew Hua , Chowdhury Ezharul Hoque 
Published: September 2022

Abstract
Purpose
Natural materials have been extensively studied for oral drug delivery due to their biodegradability and other unique properties. In the current research, we fabricated sodium caseinate nanomicelles (NaCNs) using casein as a natural polymer to develop a controlled-release oral delivery system that would improve the therapeutic potential of doxorubicin (DOX) and reduce its toxicity.

Methods
DOX-loaded NaCNs were synthesized and thoroughly characterized, then subjected to in vivo anti-tumor evaluation and bio-distribution analysis in a 4T1-induced breast cancer model.

Results
Our findings indicated that the tumor would shrink by eight-fold in the group orally treated with DOX-NaCNs when compared to free DOX. The tumor accumulated drug 1.27-fold more from the orally administered DOX-NaCNs compared to the intravenously administered DOX-NaCNs, 6.8-fold more compared to free DOX, and 8.34-times more compared to orally administered free DOX. In comparison, the orally administered DOX-NaCNs lead to a significant reduction in tumor size (5.66 ± 4.36 mm3) compared to intravenously administered DOX-NaCNs (10.29 ± 4.86 mm3) on day 17 of the experiment. NaCNs were well tolerated at a single dose of 2000 mg/kg in an acute oral toxicity study.

Conclusion
The enhanced anti-tumor effects of oral DOX-NaCNs might be related to the controlled release of DOX from the delivery system when compared to free DOX and the intravenous formulation of DOX-NaCNs. Moreover, NaCNs is recognized as a safe and non-toxic delivery system with excellent bio-distribution profile and high anti-tumor effects that has a potential for oral chemotherapy.
A Review of the Vector Status of North American Culicoides (Diptera: Ceratopogonidae) for Bluetongue Virus, Epizootic Hemorrhagic Disease Virus, and Other Arboviruses of Concern
Authors: McGregor Bethany L. , Shults Phillip T. , McDermott Emily G. 
Published: September 2022

Abstract
Purpose of Review
Culicoides biting midges transmit several pathogens of veterinary importance in North America, but the vector status of many midge species is unresolved. Additionally, the available evidence of vector competence in these species is scattered and variable. The purpose of this review is to summarize current knowledge on confirmed and putative North American Culicoides arbovirus vectors.

Recent Findings
While the vector status of Culicoidessonorensis (EHDV, BTV, VSV) and Culicoidesinsignis (BTV) are well established, several other potential vector species have been recently identified. Frequently, these species are implicated based primarily on host-feeding, abundance, and/or detection of arboviruses from field-collected insects, and often lack laboratory infection and transmission data necessary to fully confirm their vector status. Recent genetic studies have also indicated that some wide-ranging species likely represent several cryptic species, further complicating our understanding of their vector status.

Summary
In most cases, laboratory evidence needed to fully understand the vector status of the putative Culicoides vectors is absent; however, it appears that several species are likely contributing to the transmission of arboviruses in North America.
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Authors: Stein Annika , Coubez Xavier , Mondal Spandan , Novak Andrzej , Schmidt Alexander 
Published: September 2022

AbstractDeep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, in identification of physics objects, such as jet flavor tagging, complex neural network architectures play a major role. However, these methods are reliant on accurate simulations. Mismodeling can lead to non-negligible differences in performance in data that need to be measured and calibrated against. We investigate the classifier response to input data with injected mismodelings and probe the vulnerability of flavor tagging algorithms via application of adversarial attacks. Subsequently, we present an adversarial training strategy that mitigates the impact of such simulated attacks and improves the classifier robustness. We examine the relationship between performance and vulnerability and show that this method constitutes a promising approach to reduce the vulnerability to poor modeling.
Is there a Chinese pattern of the second demographic transition?
Authors: Yu Jia , Xie Yu 
Published: September 2022

AbstractThe Second Demographic Transition (SDT) is a useful theoretical framework for explaining the recent trend in many countries of very low fertility combined with alternative union and family types. Although past studies have observed the SDT in many Western societies, whether it is applicable to East Asia remains unclear. Capitalizing on data from the Chinese Census and China Family Panel Studies, we provide estimates of key behavioral and ideational indicators of the SDT. We find that union formation in China has trended increasingly toward patterns commonly observed in the West, including delayed age of marriage and the common practice of premarital cohabitation. While having a lowest-low fertility rate, China has not experienced rising nonmarital childbirths, a key component of the SDT. However, we observe growing tolerance toward nonmarital childbearing and childlessness. Marriages remain relatively stable in China, especially among couples with children. Taken together, our analysis suggests that typically coincident changes in patterns of family behavior associated with the SDT are not occurring simultaneously in China. Moreover, ideational changes are preceding behavioral changes, particularly in attitudes toward nonmarital childbearing and childlessness. Our research suggests a different pattern of the SDT in China, which has been heavily influenced by Confucian culture.
Cassini Bistatic Radar Experiments: Preliminary Results on Titan’s Polar Regions
Authors: Brighi Giancorrado 
Published: September 2022

AbstractIn bistatic radar observations, reflected echoes from the surface of a target planet can be analyzed to infer its surface statistics and near-surface constituents. In this work, a preliminary inspection of two X-band bistatic radar observations gathered by the Cassini spacecraft about Titan’s polar regions is presented. Profiles of relative dielectric constant and root-mean-square (rms) surface slope are provided as outputs of the analysis, discussed, and compared with the present knowledge of Titan geomorphology. For the assessment of the rms slope, proportional to the spectral broadening of reflected echoes, a basic fitting procedure was applied to the received spectra using a Gaussian template, to later evaluate the full-width half-maximum of the fitting curve. The dielectric constant was computed from the power ratio between orthogonally circularly polarized components of signal reflections from Titan. Dielectric constant estimates are, on average, consistent with the expected materials covering the dry surfaces of the planet, while slightly low values were found over the seas. The rms slopes are generally low compared to past bistatic observations of other targets. Titan’s north polar seas are revealed to feature an unprecedented smoothness, with 0.01$$^\circ$$

∘

of slope as an upper bound. Similar values were inferred for isolated spots in the southern pole, hinting at the possible presence of basins filled with liquid hydrocarbons. The main issues with the analysis are emphasized throughout the document, and some ideas for future work are presented in the conclusions.
Theoretical and Numerical Modeling of Multicomponent Transcritical Diffuse Interfaces Under LRE Conditions
Authors: Cavalieri Davide 
Published: September 2022

AbstractIn this study, a theoretical and numerical framework for simulating transcritical flows under a variety of conditions of interest for aerospace propulsion applications is presented. A real-fluid multicomponent and multiphase thermodynamic model, based on a cubic equation of state (EoS) and vapor–liquid equilibrium (VLE) assumptions, is presented to describe transcritical mixtures properties. The versatility of this thermodynamic model is reported since it can represent at the same time the supercritical states as well as subcritical stable two-phase states at equilibrium, via a homogeneous mixture approach. The effect this model has on the evaluation of the thermophysical variables will be emphasized. From the Computational Fluid Dynamics (CFD) point of view, the well-known numerical challenges that arise with the coupling between real-fluid thermodynamics and governing equations under transcritical conditions, are addressed by comparing a fully conservative (FC) to a quasi-conservative (QC) numerical schemes, in the context of the advection problem of a transcritical contact discontinuity.
Reinforcement learning with intrinsic affinity for personalized prosperity management
Authors: Maree Charl , Omlin Christian W. 
Published: September 2022

AbstractThe purpose of applying reinforcement learning (RL) to portfolio management is commonly the maximization of profit. The extrinsic reward function used to learn an optimal strategy typically does not take into account any other preferences or constraints. We have developed a regularization method that ensures that strategies have global intrinsic affinities, i.e., different personalities may have preferences for certain asset classes which may change over time. We capitalize on these intrinsic policy affinities to make our RL model inherently interpretable. We demonstrate how RL agents can be trained to orchestrate such individual policies for particular personality profiles and still achieve high returns.
Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany
Authors: Fritz Manuela 
Published: September 2022

AbstractThe Covid-19 pandemic requires a continuous evaluation of whether current policies and measures taken are sufficient to protect vulnerable populations. One quantitative indicator of policy effectiveness and pandemic severity is the case fatality ratio, which relies on the lagged number of infections relative to current deaths. The appropriate length of the time lag to be used, however, is heavily debated. In this article, I contribute to this debate by determining the temporal lag between the number of infections and deaths using daily panel data from Germany’s 16 federal states. To account for the dynamic spatial spread of the virus, I rely on different spatial econometric models that allow not only to consider the infections in a given state but also spillover effects through infections in neighboring federal states. My results suggest that a wave of infections within a given state is followed by increasing death rates 12 days later. Yet, if the number of infections in other states rises, the number of death cases within that given state subsequently decreases. The results of this article contribute to the better understanding of the dynamic spatio-temporal spread of the virus in Germany, which is indispensable for the design of effective policy responses.