bluuebunny/crossref_metadata_2025_split huggingface dataset:
Atlantoaxial Spondyloptosis with Type II Odontoid Fractures
Authors: Lachance Andrew D. , Gerstl Jakob V. E. , Florman Jeffrey E. 
Published: October 2022

Case:
Two patients with delayed presentations of neck pain and fixed kyphotic deformity after trauma were found to have atlantoaxial spondyloptosis (AAS) with type II dens fractures. Owing to the rarity of AAS, outcomes and optimal treatment are not well understood. In both cases, closed reduction was achieved with a dynamic overhead traction setup, followed by posterior surgical stabilization with C1-2 screw fixation.

Conclusion:
Closed reduction remains a challenge because of the marked deformity of interlocking C1-C2 joints. However, patients with chronic fixed atlantoaxial dislocation due to odontoid fractures can be safely managed with closed reduction and fusion of C1-C2.

Level of Evidence:
Level V.
Respiratory Failure After Supraclavicular Nerve Block in a Patient With a Contralateral Brachial Plexus Injury
Authors: Crowe Christopher S. , Pulos Bridget P. , Spinner Robert J. , Shin Alexander Y. 
Published: October 2022

Case:
A patient with prior left-sided brachial plexus trauma and associated left phrenic nerve paralysis subsequently developed transient respiratory failure after a contralateral supraclavicular nerve block. Her known left phrenic nerve palsy secondary to her index brachial plexus injury was rediscovered during the workup of her acute respiratory distress, which resulted in an emergent intensive care unit admission.

Conclusion:
The paralysis of her right phrenic nerve at the time of left-sided regional anesthesia was identified as the etiology of near-complete bilateral diaphragmatic paralysis and respiratory failure.
Co2SnO4@Co3O4-SnO2 composite for enhanced peroxymonosulfate activation: Catalytic degradation of diclofenac, mechanism and degradation pathways
Authors: FERGANI Soumia , ZAZOUA Hanane , SAADI Adel , TOUATI Souad , BOUDJEMAA Amel , BACHARI khaldoun 
Published: October 2022

Abstract
Co2SnO4@Co3O4-SnO2 catalyst was successfully prepared via co-precipitation method. The physico-chemical properties of the resulting powder were determined by X-ray diffraction (XRD), infrared attenuated total reflectance spectroscopy (IR-ATR), N2 adsorption/desorption, scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). The material was tested for the catalytic degradation of diclofenac (DCF) by activating the peroxymonosulfate (PMS). Several parameters such as the catalyst amount, PMS and DCF concentrations were optimized. The experiment results revealed that Co2SnO4@Co3O4-SnO2-PMS system showed a good catalytic performance. Indeed, DCF was completely degraded within 2 min under optimal conditions. Radical scavenging experimental results showed that singlet oxygen 1O2 was identified as the only reactive species during the catalytic degradation of DCF. Finally, a possible degradation pathway was proposed based on the intermediates identified using liquid chromatography electrospray ionization mass spectrometry (LC-ESI-MS).
Broad Spectrum Antifungal Activity and Anticancer Potential of Secondary Metabolites from Cave Soil Streptomyces sp. strain YC69
Authors: Bhat Meghashyama Prabhakara , Nayaka Sreenivasa 
Published: October 2022

Abstract

Cancer is one of the fatal diseases and has high mortality worldwide. The major drawback with the cure is the side effects from the chemotherapeutic agents, and there is an urgent need for an alternative. Actinomycetes from cave soil were isolated, and the crude extract obtained from the potent isolate was analyzed with GC-MS and HPTLC to identify bioactive metabolites. The crude extract was examined for in-vitro antimicrobial and antifungal activity on plant pathogens. The isolate Streptomyces sp. strain YC69 exhibited antagonistic activity and increased antimicrobial activity in a dose-dependent manner, with the highest inhibition observed in S. aureus. GC-MS revealed many bioactive compounds, and HPTLC depicted metabolite fingerprints. The antifungal activity exhibited a delayed lag phase in growth curve assay and distorted and collapsed cells of Fusarium oxysporum in SEM micrograph. The results from the current study suggest that the crude extract from Streptomyces sp. strain YC69 contains antimicrobial metabolites that can inhibit pathogenic microbes, which cause severe diseases in plants and humans. The MTT assay results conclude that further studies on purification may lead to the use of Streptomyces sp. strain YC69 as a source for anti-oncogenic compounds.
Gains and Losses: A Phenomenographic Study on Adolescents’ Understanding of Isolation due to COVID-19
Authors: Rosali Leann Jester , Erojo Kreen , Dicto Princess Joy 
Published: October 2022

Abstract
The global health emergency posed by the COVID-19 outbreak has affected millions of people. In the Philippines, among the establishments closed are schools that resulted in children and adolescents staying at home for years under quarantine. Many studies were conducted focusing on the impact of isolation on people's physical and emotional well-being, most notably the children and adolescents who are considered vulnerable individuals. However, limited studies investigated how these young people understand their experiences while in quarantine. Hence, this phenomenographic study aims to provide insights into Filipino adolescents' realities by exploring the many different ways they view isolation. Seventeen adolescents in quarantine were interviewed, and qualitative analysis revealed a dualist outcome space where isolation is seen in the light of gains and losses. Eight sub-themes describing the three emerging themes are reported. The descriptions reveal understandings that isolation is (1) a restraint, (2) a necessity, and (3) an opportunity that has an impact on the physical, emotional, and social dimensions of adolescents' lives. Implications and recommendations presented may serve as a basis for designing programs and interventions to help adolescents deal with possible negative feelings in isolation and post quarantine.
Low-cost climate-change informational intervention reduces meat consumption among students for years
Authors: Jalil Andrew , Tasoff Joshua , Bustamante Arturo Vargas 
Published: October 2022

Abstract
Using a dataset of more than 100,000 meal selections over three years, we examine the long-term effects of an informational intervention designed to increase awareness about the role of meat consumption in climate change. Students randomized to the treatment group reduced their meat consumption by 5.6 percentage points with no signs of reversal. Calculations indicate a high return on investment (conservative estimate: ~$14 per metric ton CO2eq). Our findings suggest that informational interventions can be cost-effective and generate long-lasting shifts towards more sustainable food options.
MEBOCOST: Metabolite-mediated Cell Communication Modeling by Single Cell Transcriptome
Authors: Chen Kaifu , Zheng Rongbin , Zhang Yang , Tsuji Tadataka , Gao Xinlei , Shamsi Farnaz , Wagner Allon , Yosef Nir , Chen Hong , Zhang Lili , Tseng Yu-Hua 
Published: October 2022

Abstract

We developed MEBOCOST, an algorithm for quantitatively inferring metabolite-mediated intercellular communications using single-cell RNA-seq data. The algorithm identifies cell-cell communications in which metabolites, such as lipids, are secreted by sender cells and traveled to interact with sensor proteins of receiver cells. The sensors on the receiver cell include the cell surface receptors, transporters across the cell membrane, or nuclear receptors. MEBOCOST relies on a comprehensive database of metabolite-sensor partners, which we manually curated from the literature and other public sources. MEBOCOST defines sender and receiver cells for an extracellular metabolite based on the expression levels of the enzymes and sensors, respectively, thus identifies metabolite-sensor communications between the cells. Applying MEBOCOST to mouse brown adipose tissue (BAT) successfully recaptured known metabolite-mediated cell communications and further identified new communications. Additionally, MEBOCOST identified a set of intercellular metabolite-sensor communications regulated by cold exposure in mouse BAT. MEBOCOST will be useful to researchers for investigation of metabolite-mediated cell-cell communications in many biological and disease models. The MEBOCOST software is freely available at https://github.com/zhengrongbin/MEBOCOST.
Enhanced clinical assessment of hematologic malignancies through routine paired tumor:normal sequencing
Authors: Ptashkin Ryan Ryan N. , Ewalt Mark , Jayakumaran Gowtham , Kiecka Iwona , Bowman Anita , Yao JinJuan , Casanova Jacklyn , Lin Yun-Te David , Petrova-Drus Kseniya , Mohanty Abhinita , Bacares Ruben , Benhamida Jamal , Rana Satshil , Razumova Anna , Vanderbilt Chad , Rema Anoop Balakrishnan , Rijo Ivelise , Son-Garcia Julie , de Bruijn Ino , Zhu Menglei , Lachhander Sean , Wang Wei , Haque Mohammad , Seshan Venkatraman , Wang Jiajing , Liu Ying , Nafa Khedoudja , Borsu Laetitia , Zhang Yanming , Aypar Umut , Suehnholz Sarah , Chakravarty Debyani , Park Jae , Abdel-Wahab Omar , Mato Anthony , Xiao Wenbin , Roshal Mikhail , Yabe Mariko , Batlevi Connie , Giralt Sergio , Salles Gilles , Rampal Raajit , Tallman Martin , Stein Eytan , Younes Anas , Levine Ross , Perales Miguel-Angel , Brink Marcel van den , Dogan Ahmet , Ladanyi Marc , Berger Michael , Brannon Angela Rose , Benayed Ryma , Zehir Ahmet , Arcila Maria 
Published: October 2022

Abstract
Genomic profiling of hematologic malignancies has augmented our understanding of variants that contribute to disease pathogenesis and supported development of prognostic models that inform disease management in the clinic. Tumor only sequencing assays are limited in their ability to identify definitive somatic variants, which can lead to ambiguity in clinical reporting and patient management. Here, we describe the MSK-IMPACT Heme cohort, a comprehensive data set of somatic alterations from paired tumor and normal DNA using a hybridization capture next generation sequencing platform. We highlight patterns of mutations, copy number alterations, and mutation signatures in a broad set of myeloid and lymphoid neoplasms. We also demonstrate the power of appropriate matching to make definitive somatic calls, including in patients who have undergone allogeneic stem cell transplant. We expect that this resource will further spur research into the pathobiology and clinical utility of clinical sequencing for patients with hematologic neoplasms.
Transcriptome Sequencing Unveils Immune Heterogeneity between Systemic Immune Response and the Liver Immune Microenvironment along HBV-ACLF Development
Authors: Chen Mo , Lin Fanghe , Zhang Senquan , Yu Yeping , Li Zhe , Zhang Yingkun , Xi Zhifeng , Qian Yongbin , Yang Chaoyong , Xia Qiang , Song Jia , Hang Hualian 
Published: October 2022

Abstract
Background
The COSSH-ACLF criteria provides a grading system feasible for Chinese ACLF population featured with HBV infection background. However, insufficient mechanical foundation is available for the grading system. In the present study, we aimed to explore the status of the liver microenvironment as well as circulating immune components of HBV-ACLF patients and to establish metabolic biomarkers representing immune phenotypes corresponding to COSSH-ACLF grades.
Methods
Transcriptome sequencing on liver-infiltrated CD45+ immune cells and PBMCs from HBV-ACLF patients were applied. ACLF mouse models were constructed with chronic CCl4 administration combined with instant K.P. induction.
Results
We revealed the most prominent turbulence in immune and metabolism modules along the development of the disease. Immune profiling analysis revealed a generally exhausted liver immune microenvironment. Significant immune heterogeneity of the liver microenvironment was observed compared with immune response in circulation, manifesting that antigen presentation in innate immune response was notably inhibited. Lipid metabolism-associated turbulence was noted in liver. We established a 3-biomarker signature depicting the metabolic-induced immune turbulence of HBV-ACLF. APOE induced cholesterol efflux may play an essential role in Kupfer cell polarization along HBV-ACLF deterioration, which can be reversed by rosuvastatin.
Conclusions
The results identified that the featured immune phenotypes in the liver microenvironment were potentially related to lipid metabolic turbulence in HBV-ACLF development, highlighting the presence of novel immune heterogeneity among different COSSH-ACLF grades, as well as between that between circulation and liver focal microenvironment.
Non-phthalate Plasticizer/ Poly (vinyl chloride) Compound for Sustainablty based on biomaterials Using Glycerol From Biodiesel Process
Authors: Soliman Aya , Anwar Abbas , Anwar Hossam , morsy Ashraf 
Published: October 2022

Abstract
The phthalate replacement trend the globe began when the European Union put a ban on dioctyl phthalate(DOP) and other. This trend will continue as environmental and sustainability concerns increase. These polymers, made from renewable sourced (plant based) raw material, as bio-based development plasticizers to gain some functionality. At the same time, the biodiesel sector produces an excess glycerol, prompting scientists to look for new uses for this material. The main goal is to create a non-phthalate plasticizer for poly (vinyl chloride) (PVC) utilizing crude glycol from the biodiesel process, corn starch (S), sunflower oil, citric acid(C) and Benzoic acid(B). Glycerol diacetomonolaurate plasticizer will be developed utilizing glycerol from the biodiesel process. Scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) will be used to examine the plasticizer production, A universal testing equipment will be used to determine the mechanical properties of the plasticizer-PVC compound, Thermal gravimetric analysis (TGA) and the experimental values will be compared with phthalate plasticizer-PVC compound. The plasticizing performances of the sampleof non- phthalate contain (SCB (3)) rivaled that of (DOP) phthalate, from this study suggesting that they have the potential to replace phthalate in soft PVC materials.
Financial socialization, strength of social ties and investment literacy of investors in P2P lending platforms
Authors: Legenzova Renata , Leckė Gintarė , Gaigalienė Asta 
Published: October 2022

Abstract

This study explores survey data of investors in peer-to-peer (P2P) lending platforms to assess their investment literacy, to explore how this literacy is affected by their financial socialization and the strength of their social ties, and to question whether this effect differs among investors’ sociodemographic groups.
Our research revealed that the investment literacy of P2P lending platform investors is high and rejects a common perception that investors in P2P lending platforms have a low level of investment literacy. Significant sociodemographic determinants of investment literacy are investor gender, age, net income, and interface with the finance sector. As for financial socialization, peers showed to be the main socialization agent and demonstrated the strongest social ties with our respondents. The compound direct effect of financial socialization on the aggregated level of investment literacy of P2P lending platforms’ investors was positive and stronger than that on its separate components. Although the strength of social ties had a strong influence on financial socialization, its indirect effect on investment literacy was rather weak. The average P2P lending platform investor whose investment literacy is shaped by financial socialization and reinforced by the strength of his or her social ties was shown to be an 18- to 34-year-old person (man or woman) working in the financial sector with a net monthly income below 1500 euro.
Such results show that for innovative financial services, compound financial socialization is an important mean to “fill in the gaps” in investment literacy. The results could be used by market regulators, innovative service providers and educators in the development and promotion of innovative financial products and product-related investment literacy programs.
JEL classification: G41, G53.
The future of Iberian droughts: a deeper analysis based on multi-scenario and a multi-model ensemble approach
Authors: Soares Pedro , Careto João , Russo Ana , Lima Daniela 
Published: October 2022

Abstract

As a result of warming and precipitation deficits, the increasing shortage of water resources and droughts have become one of the main drivers of desertification, land degradation and food insecurity with direct impacts on ecosystems and society, especially in fragile communities. Over the Iberian Peninsula, a known climate change hotspot, the occurrence of droughts varies in intensity and severity, being its assessment under present and future conditions an important asset for adaptation measures. Here, for the first time, we present a comprehensive analysis of the different plausible evolutions of droughts throughout the 21st century over Iberia at a monthly basis, featuring three different emission scenarios (RCP2.6, RCP4.5, RCP8.5). A multi-variable, multi-model EURO-CORDEX weighted ensemble is used to assess the future drought conditions using the SPI (Standardized Precipitation Index) and SPEI (Standardized Precipitation Evapotranspiration Index). All indexes were computing by considering the full period, from 1971 to 2000 merged with the 2011–2100 period from each RCP scenario. The results clearly show that Iberian Peninsula is greatly vulnerable to climate change, indicating a significant increase in intensity and severity of drought occurrences, even for the low-end RCP2.6 scenario. For the RCP4.5 and RCP8.5 scenarios, the increases are more pronounced and enhanced throughout the 21st century, from 3 up to 12 more severe droughts for the shorter timescales with increases in mean duration above the 30 months for the longer accumulation periods The use of all the RCPs data pooled together with a weighted ensemble approach allows not only a more accurate projection of future droughts, but also ensures comparability among the projections from the three RCP scenarios. The future drought evolution aspires to assist the new Portuguese national roadmap for adaptation for the 21st century, bridging the water sector challenges from mitigation to adaptation in a dynamic way.
A Tunisian social accounting matrix for impact analysis of macroeconomic policies and shocks
Authors: Salhi Jabeur , BENAMMOU Saloua 
Published: October 2022

Abstract
The instability caused by the events of 2011, combined with the global economic crisis, caused problems on all levels for Tunisia, hence the need for a comprehensive data framework that consists of a social accounting matrix to assist the government in policy formulation. We used cross-entropy to balance a matrix with data collected mainly from the integrated economic accounts table, the supply-use table, and other sources. We have constructed a matrix with definitive data at the macro-economic and micro-economic levels to offer a coherent and complete representation of the economic and social system while reflecting the interdependencies of institutional groups. This matrix is used as a database in a recursive dynamic computable general equilibrium model to assess the impact on economic growth and reducing unemployment of a policy of increasing public spending on infrastructure investment. The Tunisian matrix can allow decision-makers to orient their choice, and supervise social policies and their link with economic development.
JEL: (E16), (E24), (E6), (H5)
Diagnostic nomogram for distant metastasis in newly diagnosed colorectal cancer based on clinical features
Authors: Jianghua He , Cao Cong , Ding Yang , Yi Yun , Lv Yuqing , Wang Chun , Chang Ying 
Published: October 2022

Abstract
Background
Colorectal cancer is one of the most common primary malignancies and the third most common cause of cancer death in both men and women in the United States. Among people diagnosed with initial colorectal cancer, 22% had metastatic colorectal cancer, while the 5-year survival rate was less than 20%.
Methods
We retrospectively reviewed the data of patients who were diagnosed as Colorectal cancer in Zhong nan Hospital of Wuhan University and People's Hospital of Gansu Province between January 2016 and December 2021.Risk predictors for distant metastasis from colorectal patients were determined by the univariate and multivariate logistic regression analysis. Nomograms were developed to predict the probabilities of distant metastatic sites of Colorectal cancer patients and evaluated by calibration curves, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).
Results
A total of 327 cases were included in this study, 224 colorectal cancer patients from Zhong nan Hospital of Wuhan University were incorporated into the training set, and 103 colorectal cancer patients from Gansu Provincial People's Hospital were incorporated into the testing set. By univariate logistic regression analysis, platelet level (PLT) (p = 0.009), CEA level (p = 0.032), histological grade (p < 0.001), colorectal cancer tumor markers (p < 0.001) and N stage (p < 0.001), tumor site (p = 0.013) were associated with distant metastasis in colorectal cancer patients. The C-indexes for the prediction of the nomogram were 0.898(95% confidence interval (CI), 0.851–0.945).
Conclusions
The nomogram showed excellent accuracy in predicting distant metastatic sites and clinical utility may facilitate clinical decision-making.
A rapid forecast method for the process of flash flood based on hydrodynamic model and KNN algorithm
Authors: Zhou Nie , Hou Jingming , Chen Hua , Chen Guangzhao , Liu Bingyi 
Published: October 2022

Abstract
Using hydrodynamic models to carry out early warning and forecasting of flash floods is an essential non-engineering measure to reduce the loss. However, most current hydrodynamic models have insufficient forecasting timeliness. To address this issue, a method based on the hydrodynamic model and the K nearest neighbours (KNN) algorithm is proposed to realize a rapid forecast for the process of flash floods. With the rainfall sequence as the input data and the simulation results of the hydrodynamic model as the target data, the rapid forecast of water depth, water velocity and discharge are achieved. Taking the Baogai Temple Basin as the study area, the rapid forecast model (RFM) is established, and its reliability and timeliness are verified. The results suggest that the established model has high accuracy, with 99% of the test data able to control the error of accumulated inundation extent within 20% and the NSE value of the cross-sectional discharge reaching 0.98. For 75% of rainfall scenarios, the maximum average water depth and velocity error of the cross-sections can control within 7.5% and 10%, respectively. It also has dramatically improved calculation time, and can complete the prediction of the flooding process for the next 10 hours within 25s. It can gain valuable lead time for emergency decision-making and has broad application prospects in dealing with flash floods.