bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two-Stage Differential Hydrocarbon Enrichment Mode of Maokou Formation in Southeastern Sichuan Basin, Southwestern China
Authors: Liu Xianfeng , Liang Yilin , Duan Jinbao , Luo Yanping 
Published: June 2022

Abstract
Sichuan Basin is one of the most potential areas for natural gas exploration and development in China. The Maokou Formation in the basin is one of the important gas-bearing layers in southeastern Sichuan. In recent years, several exploration wells have obtained industrial gas flow in the first member of the Middle Permian Maokou Formation (hereinafter referred to as the Permian Mao-1 member of Maokou Formation), revealing that it may become a new field of oil and gas exploration in Sichuan Basin. Drilling and field survey results show that the shale of Maokou Formation in southeastern Sichuan contains eyeball-shaped limestone. Early studies suggest that the Permian Mao-1 member of Maokou Formation in Sichuan Basin is a set of high-quality carbonate source rocks, but ignoring its oil and gas exploration potential as an unconventional shale reservoir similar to the shale. The enrichment regularity of unconventional natural gas has not been studied from the perspective of source-internal accumulation. And there is a lack of analysis of oil and gas enrichment mode. In this study, we took the Permian Mao-1 member of Maokou Formation in southeastern Sichuan as the target layer. Through macroscopic outcrop observation and geochemical analysis and based on unconventional oil and gas enrichment theory, we carried out a study on natural gas enrichment mode of eyeball-shaped limestone of the Permian Mao-1 member of Maokou Formation in Sichuan Basin. The results show that the hydrocarbon enrichment pattern of the Maokou Formation in southeastern Sichuan is different from the accumulation and occurrence process of common unconventional shale gas reservoirs and conventional carbonate reservoirs. It is a special new hydrocarbon accumulation mode between the above two. According to the difference in the charging time of the hydrocarbon, the background of the reservoiring dynamics, and the occurrence state of oil and gas, we divide the two-stage differential enrichment mode of oil and gas, that is, “early intralayer near-source enrichment” and “late interlayer pressure relief adjustment.”
Study on Mechanical and Acoustic Emission Characteristics of the Influence of Rock Bridge Length on Rock Failure
Authors: Wang Jianchao , Zhang Yan , Qin Changan , Gao Yaohui , Wang Zhaofeng , Zhang Guofeng 
Published: June 2022

Abstract
Rock bridge of jointed rock plays a key role in its instability failure and has great influence on underground engineering. In this paper, the direct shear tests of jointed rocks with different rock bridge lengths are carried out, and the mechanical properties, acoustic emission (AE) characteristics, and fracture mechanism during the failure of rock bridge are studied. The results show that the shear strength increases with the increase of normal stress. When the rock bridge is long, cohesion c plays a leading role to control the failure of jointed rock; on the contrary, the internal friction angle φ plays a leading role. AE count rate, cumulative AE counts, and peak AE energy rate increase with the increase of rock bridge length. With the increase of rock bridge length, peak AE energy rate and AE count rate occur earlier. Considering the influence of rock bridge length, the fracture criterion and crack growth angle of shear fracture are derived based on linear elastic fracture mechanics. The theoretically calculated result is consistent with the experimental result. The research in this paper can provide relevant theoretical basis and useful reference for the instability and failure analysis of jointed rock.
A Century of Landslides in Seattle, Washington: Coalescing and Digitizing the City's Historic Landslide Inventories
Authors: Davis Elizabeth J. , Chang Susan , Hou Steve , Teal Tammy , Cowell Kevin , Garcia-Arceo Sandra 
Published: June 2022

ABSTRACT
Landslides have impacted the built environment of the city of Seattle for over a century. We present a new historic landslide inventory for Seattle built from over 100 years of landslide records. Seattle has tracked landslide occurrence since the 1890s and has commissioned various studies to examine where and why landslides occur. During this tenure, methods for collection, display, and dissemination of landslide data have varied, resulting in a complex, non-uniform, and rich dataset. For the new database completed in 2019, multiple inventories and thousands of historic documents were combined to meet the City of Seattle's objectives of keeping landslide areas precise with respect to property boundaries. Compared with prior maps, the new map provides more information from the historical record, maps landslide extent more accurately, and tags fewer private properties with landslide features than prior maps. In addition, digitized historic documents are now attached to landslide features in the City of Seattle's public geographic information system (GIS) map. The historic inventory is complementary to a light detection and ranging (LiDAR) inventory covering the same area. This case study shows how historic data can be used to record landslides in urban areas where geomorphological signatures may be removed by development. In Seattle, access to information about historic landslides will streamline workflows for public and private engineers and geologists and will serve property owners and the general public. The map is currently available at https://www.arcgis.com/apps/webappviewer/index.html?id = f822b2c6498c4163b0cf908e2241e9c2 = f822b2c6498c4163b0cf908e2241e9c2.
Guest Editorial: What CO2-EOR Has Already Taught Us About Upscaling Permanent Carbon Sequestration
Authors: Lake Larry W. 
Published: June 2022

It is not often that one’s career coincides with the initiation and maturation of a technology. So it has been with my career and the use of carbon dioxide (CO2) to increase oil recovery, or CO2‑EOR (enhanced oil recovery).
I started in the E&P business in the early 1970s, about the same time as CO2‑EOR became feasible (maybe economic). But in no way do I claim credit for this success; it is the result of hundreds of highly competent technologists working in labs, on computers, in the field, and planning, always planning. But I do claim a sense of perspective as the technology has matured over the years and now is about to morph to a similar one, though one with a very different objective—CO2 storage.
I am drawing comparisons between carbon capture and sequestration (CCS) and CO2‑EOR that are largely based on analyzing field data, not numerical models nor laboratory‑scale experiments, though both have played important supporting roles.

Many of the oilfield technologies are transferable from CO2-EOR to CCS.
Technologies such as petrophysics, numerical simulation, and anything relating to injection wells should apply. This fact should make it easier for petroleum engineers to make the transition to CCS. Experience from fluid production provides valuable insight for fluid movement and displacement in the reservoir, but production is not directly transferable to conventional CCS, which does not envision the operation of extraction wells as of this writing.

There have been no detectable caprock breaches and few surface leaks in CO2-EOR.
This observation has resulted in the need for minimal monitoring requirements. However, monitoring for CCS will be a major part of a project. Ascertaining the amount of CO2 retained in subsurface during CO2‑EOR is difficult using data routinely available to the public. The importance of accurate measurements of rates and pressures at wellhead and surface facilities will be even more important for CCS and over a longer time.
Soil microbes alter the diversity-invasibility relationship by promoting a complementarity effect on community invasion resistance
Authors: Wang Xiao-Yan , Gao Song , Chen Tong , Wang Jiang , Yu Fei-Hai 
Published: June 2022

Abstract
Soil microbes can affect both the invasiveness of exotic plants and the invasibility of native plant communities, but it still remains unclear whether soil microbes can influence the relationship between native plant species diversity and community invasibility. We constructed native plant communities with three levels of species richness (one, three, or six species) in un-sterilized or sterilized soil (i.e., with or without soil microbes) and let them not be invaded by exotic plant species or invaded by one of three exotic species (Solidago canadensis, Erigeron canadensis or Symphyotrichum subulatum) highly invasive in China. The soils conditioned by the native plant communities not invaded by the exotic species were used as soil microbe inocula to test whether richness-induced differences in soil microbes affect the growth of each of the three invasive species. Compared with the presence of soil microbes, the absence of soil microbes weakened the negative species richness-invasibility relationship, indicating that soil microbes can contribute to the higher invasion resistance of more diverse native plant communities. In the presence of soil microbes, the higher invasion resistance of more diverse communities was mainly ascribed to the complementarity effect. However, soil microbes from communities with a higher species richness did not have a stronger negative effect on the growth of any of the three invasive species. We conclude that soil microbes can alter the diversity-invasibility relationship through promoting the complementarity effect on the community invasion resistance. Our results highlight the importance to integrate the role of soil microbes in testing the diversity-invasibility hypothesis.
Industry 4.0 implementation challenges in small and medium size enterprises: A hybrid method of interval valued fuzzy BWM and DEMATEL
Authors: Alimohammadlou Moslem , sharifian sahar 
Published: June 2022

Abstract
Although small and medium-sized enterprises (SMEs) shape the cornerstone of economy, they encounter various challenges in transitioning to Industry 4.0. This issue represents an ill-structured problem under uncertainty, which requires a specific set of tools to be solved. This study relied on a hybrid method composed of the interval type-2 fuzzy BWM (IT2F-BWM) and the interval type-2 fuzzy DEMATEL (IT2F-DEMATEL) method, to handle the complexities that SMEs experience in transitioning to Industry 4.0. The results of the IT2F-BWM revealed the importance of the “organizational” criterion, in comparison to “technological” and “strategic” criteria. Furthermore, the IT2F-DEMATEL results showed that the “organizational” dimension exerted the highest degree of influence. The most effective criteria (sub-dimensions) were “a lack of skillful management team”, “the need for advanced skills”, and “having insufficient knowledge of and little interest in Industry 4.0 and its outcomes”, which fell under “organizational”, “technological”, and “strategic” dimensions, respectively. The findings could help firms and enterprises to gain adequate knowledge of Industry 4.0 before implementing it, while clarifying how such entities can enhance their organizations and overcome obstacles by training their human resources.
Recycling Utilization of Chinese Medicine Herbal Residues Resources: Systematic Evaluation on Industrializable Treatment Modes
Authors: Luo Jiahao , Yang Rui , Ma Feifei , Jiang Wenming , Han Chunchao 
Published: June 2022

Abstract
Traditional Chinese medicine (TCM) is an indispensable part of the world health and medical system, and plays an important role in treatment, prevention and health care. These TCM produce a large amount of Chinese medicine herbal residues (CHMRs) during the application process, most of which are the residues after decoction or extraction of botanical medicines. These CMHRs contain a large number of unused components, which can be used in medical, breeding, planting, materials and other industries. Considering the practical application requirements, this paper mainly introduces the low-cost treatment methods of CHMRs, including extraction of active ingredients, cultivation of edible fungi and manufacture of feed. These methods not only have low upfront investment, but also have some income in the future. Furthermore, other methods are briefly introduced. In conclusion, this paper can provide reference for people who need to deal with CMHRs, and contribute to the sustainable development of TCM.
Vessels that encapsulate tumor clusters (VETC) pattern predicts the efficacy of adjuvant TACE in hepatocellular carcinoma
Authors: Wang Jia-hong , Li Xiao-shan , Tang Hong-sheng , Fang Run-ya , Song Jing-jing , Feng Yan-lin , Guan Tian-pei , Ruan Qiang , Wang Jin , Cui Shu-Zhong 
Published: June 2022

Abstract
Postoperative adjuvant transcatheter arterial chemoembolization (TACE) is regarded as a common strategy for hepatocellular carcinoma (HCC) patients at a high risk of recurrence. However, there are currently no clinically available biomarkers to predict adjuvant TACE response. Vessels that encapsulate tumor clusters (VETC) can be used as an independent predictor of HCC prognosis. In this study, we aimed to explore whether the VETC pattern could predict adjuvant TACE benefit. The survival benefit of adjuvant TACE therapy for patients with or without VETC pattern (VETC+/VETC-) was evaluated. Our results showed that the adjuvant TACE therapy obviously improved the TTR (median TTR: 10.0 vs. 36.0 months, P = 0.008) and OS (median OS: 17.7 vs. 53.2 months, P = 0.005) in VETC+ patients, while adjuvant TACE therapy could not benefit from VETC- patients. Univariate and multivariate analysis revealed that adjuvant TACE therapy significantly improved the TTR and OS in VETC+ patients, but not in VETC- patients. In addition, the VETC+, but not VETC-, patients could benefit from adjuvant TACE therapy in patients with high risk factors of vascular invasion, larger tumor or multiple tumor. The mechanistic investigations revealed that the favorable efficacy of adjuvant TACE on VETC+ patients, but not VETC- ones, may be not due to the activation of HIF-1α pathway. In conclusion, the VETC pattern may represent a novel and reliable factor for selecting HCC patients who may benefit from adjuvant TACE therapy, and the combination of VETC pattern and tumor characteristics may help stratify patients’ outcomes and responses to adjuvant TACE therapy.
Cerebrospinal fluid biomarkers in SARS-CoV-2 patients with acute neurological syndromes
Authors: Chaumont Hugo , Kaczorowski Flora , San-Galli Aurore , Michel Patrick Pierre , Tressières Benoit , Roze Emmanuel , Quadrio Isabelle , Lannuzel Annie 
Published: June 2022

Abstract
Background: Mechanisms underlying acute brain injury in SARS-CoV-2 patients remain poorly understood. A better characterization of such mechanisms remains essential to preventing long-term neurological sequelae. Our present aim was to study a panel of biomarkers of neuroinflammation and neurodegeneration in the cerebrospinal fluid (CSF) of NeuroCOVID patients.Methods: We retrospectively collected clinical and CSF biomarkers data from 24 NeuroCOVID adults seen at the University Hospital of Guadeloupe between March and June 2021.Results: Among 24 NeuroCOVID patients, 71% had encephalopathy and 29% a meningoencephalitis. A number of these patients also experienced de novo movement disorder (33%) or stroke (21%). The CSF analysis revealed intrathecal immunoglobulin synthesis in 54% of NeuroCOVID patients (two with a type 2 pattern and 11 with a type 3) and elevated neopterin levels in 75% of them (median 9.1 nM, IQR 5.6-22.1). CSF neurofilament light chain (NfL) was also increased compared to a control group of non-COVID-19 patients with psychiatric illnesses (2905 ng/L, IQR 1428-7124 versus 1222 ng/L, IQR 1049-1566). Total-tau was elevated in the CSF of 24% of patients, whereas protein 14-3-3, generally undetectable, reached intermediate levels in two patients. Finally, CSF Aß1-42 was reduced in 52.4% of patients (median 536 ng/L, IQR 432-904) with no change in the Aß1-42/Aß1-40 ratio (0.082, IQR 0.060-0.096).Conclusions: We showed an elevation of CSF biomarkers of neuroinflammation in NeuroCOVID patients and a rise of CSF NfL, evocative of neuronal damage. However, longitudinal studies are needed to determine whether NeuroCOVID could evolve into a chronic neurodegenerative condition.
Ultrahigh-Q Guided Mode Resonances in An All-dielectric Metasurface
Authors: Huang Lujun , Jin Rong , Zhou Chaobiao , Li Guanhai , Xu Lei , Overvig Adam , Deng Fu , Chen Xiaoshuang , Lu Wei , Alu Andrea , Miroshnichenko Andrey 
Published: June 2022

Abstract
High quality (Q) factor optical resonators are indispensable for many photonic devices. While very large Q-factors can be obtained theoretically in guided mode settings, free-space implementations suffer from various limitations on the narrowest possible linewidth in real experiments. In these devices, the largest Q-factors are hindered by radiation loss induced by fabrication disorder. Complex photonic designs have been explored to enhance this response through either delicate engineering the topological features or carefully breaking symmetries. Here, we put forward a simple strategy to enable ultrahigh-Q guided-mode resonances in all-dielectric metasurfaces without breaking symmetry or carefully engineering topological quantities. We introduce a patterned perturbation layer on top of a multilayer waveguide system, aimed at exciting tailored guided-mode resonances from free space. We demonstrate that the associated Q-factors are inversely proportional to the perturbation squared, suggesting a simple way of achieving extremely high-Q resonances as the perturbation is reduced. The resonant wavelength can be conveniently tuned through material or structural parameters, such as the thickness and refractive index or the metasurface period, within a robust design strategy amenable for implementation in various platforms. We experimentally demonstrate such high-Q resonances at telecom wavelengths by fabricating a low-index photoresist layer photonic crystal slab on top of a 220nm top layer SOI substrate. The measurements show Q-factors up to 2.39x105, comparable to the largest Q-factor obtained by topological engineering, while the resonant wavelength is tuned by varying the lattice constant of the top perturbation layer. Our results hold great promise for exciting applications, such as sensors and filters.
Machine Learning Based Indian raga Identification for Music Therapy
Authors: K Anitha , D Parameshachari B 
Published: June 2022

Abstract
The concept of Music Therapy in India is approached with different terms like Music Therapy or Healing Music, Nada Chikitsa, Nada Yoga, Raga Chikitsa, and Raga Therapy. Out of many languages in the world, which are used to convey information, the language that everyone can understand is Music. All Humans can be influenced by music. Music is one mode of communication that is pleasant to listen and it heals many mental diseases. These powers of healing of Music are rediscovered in modern medicine using modern science. In recent times, treating persons with physical and mental health issues using music therapy is getting more significant. The main objective of this paper is to implement and evaluate the performance of raga identification using a machine learning algorithm and to compare the accuracy of the raga identification system which uses Mel Frequency Cepstral Coefficients (MFCC) as a feature and the system which uses pitch and chroma information along with MFCC features. A machine learning-based algorithm is proposed to identify the Raga recognition for music therapy. This method uses MFCC (Mel Frequency Cepstral Coefficients) feature along with Pitch and Chroma information for feature extraction. KNN method employed for classification of ragas. The proposed approach varies from existing methods where the notes of temporal information were ignored in the pitch-class profile method. The dataset has been collected from Kaggle to evaluate the proposed method. The proposed classification system is designed to identify different ragas (Asvari, Bageshree, Bhairavi, Darbari, and Yaman) in an open-set approach. The performance of the proposed classifier is observed to be 92.34%.
Barriers to Early Diagnosis of Cervical Cancer: A mixed-method study in Côte d'Ivoire, West Africa
Authors: Plaisy Marie K. , Boni Simon P. , Coffie Patrick A. , Tanon Aristophane , Innocent Adoubi , Horo Apollinaire , Dabis François , Bekelynck Anne , Jaquet Antoine 
Published: June 2022

Abstract
Background: Cervical cancer, a major public health problem in many developing countries, is usually associated with a poor survival related to an advanced disease at diagnosis. In Côte d’Ivoire and other developing countries with high cervical cancer prevalence, little is known about factors associated with advanced cervical cancer stages in a context of limited access to screening services.Methods: From May to July 2019, we conducted a cross-sectional study using a mixed, quantitative and qualitative method. Information on socio-demographic and history of the disease was extracted from a rapid case ascertainement study performed by the cancer registry of Côte d’Ivoire that enrolled all women diagnosed with cervical cancer between July 2018 and June 2019. In-depth semi-structured interviews were conducted among a subset of these women (12 women) and six healthcare providers to further capture barriers to early cervical cancer diagnosis. Factors associated with an advanced stage III, IV (according to FIGO classification) were estimated by a logistic regression model. Qualitative data were analyzed using a thematic analysis technique guided by the treatment pathway model and triangulated with quantitative data. Results: In total, 95 women with cervical cancer [median age=51 (IQR 42-59)] years, were included. Among them, 18.9% were living with HIV and only 9.5% were covered by a health insurance. The majority (71.5%) were diagnosed with advanced cervical cancer. Being HIV-uninfected (aOR=5.4; [1.6-17.8], p=0.006) and being uninsured (aOR=13.1; [2.0-85.5], p=0.007) were independently associated with advanced cervical cancer in multivariate analysis. Qualitative data raised aditional factors potentially related to advanced cervical cancer stages at diagnosis including the lack of information on cervical cancer among healthcare providers and inadequate awareness and screening campaigns.Conclusion: In a context of challenges in access to systematic cervical cancer screening in Côte d'Ivoire, access to health insurance or integrated healthcare program appear to be key determinants of early diagnosis of cervical cancer.