bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disaster Mapping and Assessment of Pakistan’s 2022 Mega-Flood Based on Multi-Source Data-Driven Approach
Authors: Wang Juanle , Li Kai , Hao Lina , Xu Chen , Liu Jingxuan , Qu Zheng , Yan Xinrong , Sajjad Meer Muhammad 
Published: May 2023

Abstract
Climate change-induced mega floods have become increasingly frequent worldwide. The rapid mapping and assessment of flood disasters poseurgent challenges for developing countries with poor data facilities or databases. In this study, the characteristics of the 2022 mega-flood in Pakistan were monitored and analyzed based on multi-resources data. The extent of inundation throughout Pakistan and its impact on farmlands, buildings, and roads were mapped using Synthetic Aperture Radar (SAR) remote sensing data processing technology. The results showed that a10-meter resolution flooding map could be achieved using the Google Earth Engine (GEE) platform in a timely manner with reasonable precision. A GIS-based bluespot model was used to evaluate the risk of dam-failure floods. The zone risk distribution map of the dam-failure flood was produced with five risk levels, which contribute to the safety of the key infrastructure for flooding control. The driving forces of snow melting in northern Pakistan induced by heat wavesand disasters was detected using Earth observationsand long-record historical data. Five aspects of flood prevention and control recommendations were characterized, providing a reference for developing countries to cope with flood disasters under worsening climate change conditions.
Photoelectrochemical advanced oxidation processes for removal of azo dye from water: emerging aspects and oxidation products
Authors: Isaev Abdulgalim , Shabanov Nabi , Rabadanov Murtazali , Mingshan Zhu 
Published: May 2023

Abstract
Azo dyes are one of the large classes of water soluble synthetic dyes with a wide range of colors and can be released into the environment when used. Azo dyes belong to one of the most numerous groups of synthetic dyes and are characterized by the presence of an azo group (-N=N-) with two or more symmetrical or asymmetrical aromatic radicals. Processes of photoelectrochemical oxidation using various approaches have been developed for the removal of azo dyes from wastewater. The fundamentals of different photoelectrochemical oxidation processes for azo dyes, such as photoelectrocatalytic oxidation (PEC), photoelectro-Fenton (PEF), and solar photoelectro-Fenton (SPEF) processes, are discussed. The use of different semiconductor materials as electrode materials in photoelectrocatalysis and PEF for azo dye removal, the influence of different parameters on the removal of azo dyes from wastewater, reactor design, combined photoelectrochemical oxidation, including the use of fuel cells, are also considered. The anodic, electrochemical, and photoelectrochemical oxidation processes for azo dye removal is compared. Also shows what products are mainly formed during photoelectrochemical oxidation of azo dyes and how photoelectrochemical oxidation affects the toxicity of azo dye solutions under different conditions.
CYB5R3 functions as a tumor suppressor by inducing ER stress-mediated apoptosis of lung cancer cells via PERK-ATF4 and IRE1α-JNK pathway
Authors: Won Misun , Im Joo-Young , Kim Soo Jin , Park Jong-Lyul , Han Tae-Hee , Kim Woo-il , Kim Inhyub , Ko Bomin , Chun So-Young , Kang Mi-Jung , Kim Bo-Kyung , Jeon Sol A , Kim Seon-Kyu , Ryu Incheol , Kim Seon-Young , Hwang Inah , Ban Hyun Seung 
Published: May 2023

Abstract
Cytochrome b5 reductase 3 (CYB5R3) is involved in various cellular metabolic processes, including fatty acid synthesis and drug metabolism. However, the role of CYB5R3 in cancer development remains poorly understood. Here, we show that CYB5R3 expression is downregulated in human lung cancer cell lines and tissues. Adenoviral overexpression of CYB5R3 suppresses lung cancer cell growth in vitro and in vivo. However, CYB5R3 deficiency promotes tumorigenesis and metastasis in mouse models. Transcriptome analysis revealed that apoptosis- and endoplasmic reticulum (ER) stress-related genes are upregulated in CYB5R3-overexpressing lung cancer cells. Metabolomics analysis revealed that CYB5R3 overexpression increased the production of NAD+ and oxidized glutathione (GSSG). Ectopic CYB5R3 is mainly localized in the ER, where CYB5R3-dependent ER stress is induced by activating protein kinase RNA-like ER kinase (PERK) and inositol-requiring enzyme 1 alpha (IRE1α). Moreover, NAD+ activates poly (ADP-ribose) polymerase16 (PARP16), an ER-resident protein, to promote ADP-ribosylation of PERK and IRE1α and induce ER stress. In addition, CYB5R3 induces the generation of reactive oxygen species and caspase-9-dependent-intrinsic cell death. Our findings highlight the significance of CYB5R3 as a tumor suppressor for the development of CYB5R3-based therapeutics for lung cancer.
Single cell trajectory analysis reveals a CD9 positive state to contribute to exit from stem cell-like and embryonic diapause states and transit to drug resistant states
Authors: Li Xi , Poire Alfonso , Jeong Kang , Zhang Dong , Chen Gang , Sun Chaoyang , Mills Gordon 
Published: May 2023

Abstract
Bromo- and extra-terminal domain (BET) inhibitors (BETi) have been shown to decrease tumor growth in preclinical models and clinical trials. However, toxicity and rapid emergence of resistance have limited their clinical implementation. To identify state changes underlying acquisition of resistance to the JQ1 BETi, we reanalyzed single-cell RNAseq data from JQ1 sensitive and resistant SUM149 and SUM159 triple negative breast cancer cell lines. Parental and JQ1-resistant SUM149 and SUM159 exhibited a stem cell-like and embryonic diapause (SCLED) cell state as well as a transitional cell state between the SCLED state that is present in both treatment naïve and JQ1 treated cells, and a number of JQ1 resistant cell states. A transitional cell state transcriptional signature but not a SCLED state transcriptional signature predicted worsened outcomes in basal-like breast cancer patients suggesting that transit from the SCLED state to drug resistant states contributes to patient outcomes. Entry of SUM149 and SUM159 into the transitional cell state was characterized by elevated expression of the CD9 tetraspanin. Knockdown or inhibition of CD9 sensitized cells to multiple targeted and cytotoxic drugs in vitro. Importantly, CD9 knockdown or blockade sensitized SUM149 to JQ1 in vivo by trapping cells in the SCLED state and limiting transit to resistant cell states. Thus, CD9 appears to be critical for transition from a SCLED state into treatment resistant cell states and warrants exploration as a therapeutic target in basal-like breast cancer.
COVID-19 associated rhino-orbital-cerebral mucormycosis: Clinical features, antifungal susceptibility, management and outcome in a tertiary hospital in Iran
Authors: Abdorahimi Mahsa , Pakdel Farzad , Salehi Mohammadreza , Alcazar-Fuoli Laura , Hashemi Seyed Jamal , Ghazvini Roshanak Daie , Ahmadkhani Fardin , Ahmadikia Kazem , Abdollahi Alireza , Debran Juan Carlos Soto , Tabari Azin , Farrokh Fatemeh , Mousavand Atefeh , Khaki Pegah Afarinesh , Khanshan Arezo Salami , Ibrahim Ashraf S. , Khodavaisy Sadegh 
Published: May 2023

Abstract
Background: Despite the unprecedented surge in the incidence of mucormycosis in the COVID-19 era, the antifungal susceptibility patterns (ASPs) of COVID-19 associated mucormycosis (CAM) isolates have not been investigated so far and it is unclear if the high mortality rate associated with CAM is driven by decreased susceptibility of Mucorales to antifungal drugs.
Objectives: To describe the clinical, mycological, outcome and in vitro ASPs of CAM cases and their etiologies from Iran.
Patients/Methods: A prospective study from January 2020 to January 2022 at a referral tertiary hospital in Tehran, Iran was conducted for screening mucormycosis through histopathology and mycological methods. The identity of Mucorales isolates was revealed with ITS-panfungal PCR& sequencing and MALDI-TOF. The AS for amphotericin B, itraconazole, voriconazole, posaconazole and caspofungin was cleared according to the EUCAST antifungal susceptibility testing protocol.
Result: A total of 150 individuals were diagnosed with CAM. Males constituted 60.7% of the population. The mean age was 54.9 years. Diabetes was the leading risk factor (74.7%). The median interval between diagnosis of COVID-19 and CAM was 31 days. The recovery rate of culture was as low as 41.3% with Rhizopus arrhizus being identified as the dominant (60; 96.7%) agent. Amphotericin B (MIC50= 0.5µg/ml) demonstrated the highest potency against Mucorales.
Conclusion: Majority of the cases had either diabetes, history of corticosteroid therapy or simultaneously both conditions. Accordingly, close monitoring of blood glucose should be considered. The indications for corticosteroids therapy are recommended to be optimized. Also, an anti Mucorales prophylaxis may be necessitated to be administrated in high risk individuals. Although amphotericin B was the most active agent, a higher rate of resistance to this antifungal was noted here in comparison with earlier studies on mucormycetes from non-CAM cases.
A Data-driven Approach to Revamp the ACO Risk Adjustment Model
Authors: Park Yubin , Buchan Kevin , Piconne Jason , Sim Brandon 
Published: May 2023

Abstract
Accountable Care Organizations (ACOs) involve groups of healthcare providers who voluntarily come together to deliver coordinated, high-quality care to aligned beneficiaries. Many ACOs, such as the Medicare Shared Savings Program and the ACO REACH program, can participate in alternative payment models that differ from the prevalent Fee-for-Service model. In these alternative payment models, providers and payers share financial risk to align the ACOs’ financial incentives with the dual aims of reducing the total cost of care and improving the quality of care. In other words, ACOs could profit by keeping their patients healthy and preventing unnecessary hospitalization. However, to make this financial structure work as intended, there needs to be a Risk Adjustment (RA) model to change reimbursement proportional to a beneficiary’s risk; otherwise, ACOs may enroll only healthy patients, i.e., adverse selection. While most ACOs adopt RA models for this reason, the original RA methodology has mostly stayed the same over the last several decades. As a result, some ACO participants have found ways to “game” the system: to receive disproportional payments for the risk they bear. To mitigate the waste, the federal government has added various post-adjustment mechanisms, such as mixing the risk-adjusted benchmark with historical spending, adjusting by a coding intensity factor, capping risk score growth rate, and incorporating health equity incentives. Unfortunately, those mechanisms build on top of each other in nonlinear and discontinuous ways, causing their actual effects - and efficacy - to be difficult to disentangle and evaluate. In this paper, we will summarize our lessons from operating one of the most successful ACOs in the nation to help rebuild the RA model based on a data-driven approach. Next, we outline the characteristics of an ideal RA model. Then, we propose a new one that addresses such requirements, eliminating the need for a multi-step process involving nonlinear and discontinuous staging. Finally, we provide experimental 1 results by applying this model to our ACO data and comparing them with the current RA implementation. Our experimental results show that our data-driven approaches can achieve better predictive performances measured in R-squared, Cumming’s Prediction Measure, and Mean Absolute Prediction Error.
Soil heat extremes outpace their atmospheric counterpart
Authors: Garcia-Garcia Almudena , Cuesta-Valero Francisco José , Miralles Diego , Mahecha Miguel , Quaas Johannes , Reichstein Markus , Zscheischler Jakob , Peng Jian 
Published: May 2023

Abstract
Hot temperature extremes are changing in intensity and frequency. Quantifying these changes is key for developing adaptation strategies [1]. The conventional approach to study changes in hot extremes is based on air temperatures. However, hydrology [2] and many biogeochemical processes, e.g. decomposition of organic material and release of CO2 [3]- are more sensitive to soil rather than air temperature. In this study, we show that soil hot extremes are increasing faster than air hot extremes by 0.7° C/Decade in intensity and twice as fast in frequency on average over Central Europe. Furthermore, we identify soil temperature as a factor in the soil moisture–temperature feedback. During dry conditions, increases in net radiation yield higher soil temperature and a consequent release of sensible heat while latent heat flux is constrained by soil moisture deficits. The release of sensible heat from soils leads to increases in air temperature and vapour pressure deficit that may further dry out and warm up the soil. This study further highlights the contribution of soil moisture–temperature feedback to the evolution of hot extremes in a warming climate. The rapid increase in soil heat extremes shown in these results may have important implications for climate and ecological risk applications.
Circulating cell-free mitochondrial DNA levels and glucocorticoid receptor sensitivity in combat-related PTSD
Authors: Blalock Zachary , Lindqvist Daniel , Trumpff Caroline , Flory Janine , Lin Jue , Reus Victor , Rampersaud Ryan , Hammamieh Rasha , Gautam Aarti , SBPBC SYSTEMS BIOLOGY PTSD BIOMARKERS CONSORTIUM , III Francis Doyle , Marmar Charles , Jett Marti , Yehuda Rachel , Wolkowitz Owen , Mellon Synthia , Wu Gwyneth 
Published: May 2023

Abstract
Circulating cell-free mitochondrial DNA (ccf-mtDNA) is a biomarker of cellular injury or cellular stress and is a potential novel biomarker of psychological stress and of various brain, somatic, and psychiatric disorders. No studies have yet analyzed ccf-mtDNA levels in post-traumatic stress disorder (PTSD), despite evidence of mitochondrial dysfunction in this condition. In the current study, we compared plasma ccf-mtDNA levels in combat trauma-exposed male veterans with PTSD (n = 111) with those who did not develop PTSD (n = 121) and also investigated the relationship between glucocorticoid signaling and ccf-mtDNA levels. In unadjusted analyses, ccf-mtDNA levels did not significantly differ between PTSD and non-PTSD groups (t = 1.312, p = 0.191). However, after controlling for the potential confounding variables age, HbA1c, and antidepressant use, the PTSD group had lower ccf-mtDNA levels than did the non-PTSD group (F(1, 221) = 5.509; p = 0.020). We also performed a sensitivity analysis excluding diabetics and antidepressant users and found that the PTSD group still had significantly lower ccf-mtDNA levels (t = 2.577, df = 177, p = 0.011). Across the entire sample, ccf-mtDNA levels were negatively correlated with post-dexamethasone ACTH decline (r=-0.171, p = 0.020) and cortisol decline (r=-0.149, p = 0.034) (viz., greater ACTH and cortisol suppression was associated with lower ccf-mtDNA levels) both with and without controlling for age, antidepressant status and HbA1c. Ccf-mtDNA levels were also significantly positively associated with IC50 − DEX, a measure of lymphocyte glucocorticoid receptor (GR) sensitivity, after controlling for age, antidepressant status, and HbA1c (β = 0.135, p = 0.043), suggesting that increased lymphocyte GR sensitivity is associated with lower ccf-mtDNA levels. Although no overall group differences were found in unadjusted analyses, exclusion of diabetics and antidepressants, which may affect ccf-mtDNA levels, revealed decreased ccf-mtDNA levels in PTSD. In both adjusted and unadjusted analyses, low ccf-mtDNA levels were associated with relatively increased GR sensitivity, often reported in PTSD, suggesting a link between mitochondrial and glucocorticoid signaling abnormalities in PTSD.
Accessible and reliable neurometric testing in humans using a smartphone platform
Authors: Boele Henk-Jan , Jung Caroline , Sherry Seth , Roggeveen Lotte , Dijkhuizen Stephanie , Ohman Josefine , Abraham Eliyana , Uvarov Anton , Boele Peter , Gultig Kayleigh , Rasmussen Anders , Vinueza-Veloz Maria Fernanda , Medina Javier , Koekkoek Sebastiaan , de Zeeuw Chris , Wang Samuel 
Published: May 2023

Abstract
Tests of human brain circuit function typically require fixed equipment in lab environments. We have developed a smartphone-based platform for neurometric testing. This platform, which uses AI models like computer vision, is optimized for at-home use and produces reproducible, robust results on a battery of tests, including eyeblink conditioning, prepulse inhibition of acoustic startle response, and startle habituation. This approach provides a scalable, universal resource for quantitative assays of central nervous system function.
Genome-wide association identifies novel ROP risk loci in a multi-ethnic cohort
Authors: Rotter Jerome , Li Xiaohui , Owen Leah A. , Taylor Kent , Ostmo Susan , Chen Yii-Der Ida , Coyner Aaron , Sonmez Kemal , hartnett M.Elizabeth , Guo Xiuqing , Ipp Eli , Roll Kathryn , Genter Pauline , Chan R.V. Paul , DeAngelis Margaret , Chiang Michael , Campbell J Peter 
Published: May 2023

Abstract
We conducted a genome-wide association study (GWAS) in a multiethnic cohort of 920 at-risk infants for retinopathy of prematurity (ROP), a major cause of childhood blindness, identifying 2 loci at genome-wide significance level (p<5×10-8) and 7 at suggestive significance (p<5×10-6) for ROP ≥ stage 3. The most significant locus, rs2058019, reached genome-wide significance within the full multiethnic cohort (p= 4.96×10-9); Hispanic and Caucasian infants driving the association. The lead single nucleotide polymorphism (SNP) falls in an intronic region within the Glioma-associated oncogene family zinc finger 3 (GLI3) gene. Relevance for GLI3 and other top-associated genes to human ocular disease was substantiated through in-silico extension analyses, genetic risk score analysis and expression profiling in human donor eye tissues. Thus, we report the largest ROP GWAS to date, identifying a novel locus at GLI3 with relevance to retinal biology supporting genetic susceptibilities for ROP risk with possible variability by race and ethnicity.
BCL7B, an SWI/SNF complex subunit, orchestrates cancer immunity and stemness
Authors: Higuchi Sayaka , Suehiro Yuji , Izuhara Luna , Yoshina Sawako , Hirasawa Akira , Mitani Shohei 
Published: May 2023

Abstract
Cancer is one of the main causes of human death. Here, we focus on the B-cell lymphoma 7 protein family member B (BCL7B) gene, an accessory subunit of the SWI/SNF chromatin-remodelling complex. To characterize the function of BCL7B, heterozygous BCL7B-deficient stomach cancer cell lines were generated with the CRISPR/Cas9 genome editing system. The comprehensive gene expression patterns were compared between parental cells and each ΔBCL7B cell line by RNA-seq. The results showed marked downregulation of immune-related genes and upregulation of stemness-related genes in the ΔBCL7B cell lines. Moreover, by ChIP-seq analysis with H3K27me3 antibody, the changes of epigenetic modification sequences were compared between parental cells and each ΔBCL7B cell line. After machine learning, we detected the centroid sequence changes, which exerted an impact on antigen presentation. The regulation of BCL7B expression in cancer cells gives rise to cancer stem cell-like characteristics and the acquisition of an immune evasion phenotype.
The application of radiofrequency ablation in pancreatic cancer liver-only recurrence after radical pancreatectomy
Authors: Wang Chengfang , Song Linjie , Wang Zhijiang , Wang Weilin 
Published: May 2023

Abstract
Objectives To evaluate the safety, feasibility, and survival benefit of radiofrequency ablation in liver-only recurrence pancreatic cancer patients after radical pancreatectomy.Methods The data and follow-up of pancreatic cancer patients who suffered liver-only recurrence after radical pancreatectomy from 2015 to 2021 were retrospectively collected. Finally, 19 liver metastases radiofrequency ablation patients were assigned to radiofrequency ablation group, and 41 patients were to systemic treatment group.Results (1) the baseline, perioperative characteristics, and pathological outcomes were well-balanced. (2) Recurrence pattern showed there were more multiple (> 3) recurrence tumors in systemic treatment patients (multiple one vs. 19, P = 0.005). (3) Median radiofrequency ablation operation time was 30.0 min, median blood loss was 1.0 ml, 4 (21.05%) patients suffered postoperative complications, and 94.74% liver metastases tumors got complete necrosis. The first efficacy evaluation showed a significantly better effect of radiofrequency ablation, complete and partial response rate 72.22% vs. 27.78%, P < 0.001. Overall survival from the initial surgery and after liver recurrence was significantly longer in the radiofrequency ablation group (43.0 vs. 22.0 months, 29.0 vs. 14.0 months, P = 0.003, 0.006, respectively). Progression-free survival after treatment was longer in the radiofrequency ablation group (6.0 vs. 5.0 months, P = 0.029). For liver recurrence tumor ≤ 3, overall survival from the initial surgery and after liver recurrence was significantly longer in radiofrequency ablation patients (43.0 vs. 22.0 months, 29.0 vs. 14.0 months, P = 0.011, 0.013, respectively). Progression-free survival after treatment was longer in the radiofrequency ablation group (7.0 vs. 4.0 months, P = 0.042).Conclusions Radiofrequency ablation could get a curative
A dual-target fluorescent chemosensor for detecting indium (III) and hypochlorite with high selectivity
Authors: Zhang Duo , Gil Dongkyun , Kim Cheal 
Published: May 2023

Abstract
A dual-target fluorescent chemosensor BQC (((E)-N-benzhydryl-2-(quinolin-2-ylmethylene)hydrazine-1-carbothioamide) was synthesized for detecting In3+ and ClO−. BQC displayed green and blue fluorescence responses to In3+ and ClO− with low detection limits (0.83 µM for In3+ and 2.50 µM for ClO−), respectively. Importantly, BQC is the first fluorescent chemosensor capable of detecting In3+ and ClO−. The binding ratio between BQC and In3+ was determined to be a 2:1 through Job plot and ESI-MS analysis. BQC could be successfully utilized as a visible test kit to detect In3+. Meanwhile, BQC showed a selective turn-on response to ClO− even in the presence of anions or reactive oxygen species. The sensing mechanisms of BQC for In3+ and ClO− were demonstrated by 1H NMR titration, ESI-MS and theoretical calculations.
Report of a case of perforating nodular scleritis developed after hospitalisation for COVID-19 pneumonia
Authors: Füst Ágnes , Csákány Béla , Boha Zsófia , Geiszelhardt Balázs , Tóth Jeannette , Nagy Zoltán Zsolt 
Published: May 2023

Abstract
Introduction: Conjunctivitis, keratoconjunctivitis, and episcleritis are known ocular surface manifestations of coronavirus disease.
Case presentation: A 56-year-old male patient experienced red eye two days after being released from the COVID department. Two weeks later developed nodular scleritis. Ultrasound biomicroscopy raised the possibility of a foreign body or helminth; however, this was not confirmed during the surgical exploration. From an intraoperatively obtained sample, methicillin-resistant Staphylococcus aureus grew, while coronavirus could not be detected. Systemic work-up yielded negative results except for the Quantiferon gold test, but as histology showed granulation tissue, not granulomatous inflammation, it was unlikely that Mycobacterium pneumoniae had a role in ocular inflammation. After targeted local antibiotic therapy, the inflammation resolved slowly over the next five months.
Conclusions: Thorough systematic workup, surgical exploration, and sample collection were necessary to determine the exact etiology, where only an indirect connection came to light with the COVID infection itself. To the best of our knowledge, there have been no previously published attempts to detect SARS-CoV-2 in scleral inflammatory tissue.