bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global-Scale Interpretable Drought Reconstruction Utilizing Anomalies of Atmospheric Dynamics
Authors: Liu Zhenchen , Zhou Wen , Zhang Ruhua , Zhang Yue , Wang Ya 
Published: July 2022

Abstract
Droughts and associated near-surface temperature anomalies can be attributed to amplified vertical subsidence and anomalous anticyclonic circulations from dynamic perspectives. However, two open and interesting issues remain unknown: 1) whether hydrometeorological situations under droughts can be reproduced directly utilizing variability of atmospheric dynamics and 2) what specific roles atmospheric dynamics play in drought reconstruction. To explore these questions, this study employs three kinds of dynamic features (i.e., vertical velocity, relative vorticity, and horizontal divergence) for hydrometeorological reconstruction (e.g., precipitation and near-surface air temperature) under drought situations through a so-called XGBoost (extreme gradient boosting) ensemble learning method. The study adopts two different reconstruction schemes (i.e., statistically preexisting dynamic–hydrometeorological relationships and interannual variability) and finds dynamically based reconstruction feasible. The three main achievements are as follows. 1) Regarding different hydrometeorological situations reconstructed with preexisting dynamic–hydrometeorological relationships, good reconstruction performance can be captured with the same or different lead times, depending on whether the evolution of dynamic anomalies (e.g., vertical motion and relative vorticity) is temporally asynchronous. 2) Reconstruction on the interannual scale performs relatively well, seemingly regardless of seasonality and drought-inducing mechanisms. 3) More importantly, from interpretable perspectives, global-scale analysis of dynamic contributions helps discover unexpected dynamic drought-inducing roles and associated latitudinal modulation. That is, low-level cyclonic/anticyclonic anomalies contribute to drought development in the northern middle and high latitudes, while upper-level vertical subsidence contributes significantly to tropical near-surface temperature anomalies concurrent with droughts. These achievements could provide guidance for dynamically based drought monitoring and prediction in different geographic regions.

Significance Statement
It is common sense that severe drought events are physically attributable to amplified vertical subsidence and anomalous anticyclonic circulations. However, the specific contributions of atmospheric dynamics, together with the feasibility of dynamically based drought reconstruction, are crucial components that are seldom investigated. To our knowledge, this manuscript is the first to reconstruct drought utilizing atmospheric dynamics and to interpret quantified dynamic contributions; it also represents a new interdisciplinary attempt to reproduce hydrological variability based on routine atmospheric dynamic variables.
A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning
Authors: Chase Randy J. , Harrison David R. , Burke Amanda , Lackmann Gary M. , McGovern Amy 
Published: July 2022

Abstract
Recently, the use of machine learning in meteorology has increased greatly. While many machine learning methods are not new, university classes on machine learning are largely unavailable to meteorology students and are not required to become a meteorologist. The lack of formal instruction has contributed to perception that machine learning methods are “black boxes” and thus end-users are hesitant to apply the machine learning methods in their everyday workflow. To reduce the opaqueness of machine learning methods and lower hesitancy toward machine learning in meteorology, this paper provides a survey of some of the most common machine learning methods. A familiar meteorological example is used to contextualize the machine learning methods while also discussing machine learning topics using plain language. The following machine learning methods are demonstrated: linear regression, logistic regression, decision trees, random forest, gradient boosted decision trees, naïve Bayes, and support vector machines. Beyond discussing the different methods, the paper also contains discussions on the general machine learning process as well as best practices to enable readers to apply machine learning to their own datasets. Furthermore, all code (in the form of Jupyter notebooks and Google Colaboratory notebooks) used to make the examples in the paper is provided in an effort to catalyze the use of machine learning in meteorology.
Farmers Reading Nature’s Clues to Figure Out Impending Weather
Authors: Poudel Jiban Mani , Sigdel Madan , Chhetri Ram Bahadur , Sudarsan K. C. 
Published: July 2022

Abstract
Traditional ways of reading nature’s clues to figure out impending weather are widely practiced in many rural societies in the world. They have been, however, often discounted by a western science-based meteorological forecasting system, although they are important sociocultural tools for mitigating climatic risks. This paper concerns two thematic issues: traditional knowledge about reading nature’s clues to figure out impending weather; and the transformation of that knowledge in the changing context of livelihood, the intervention of modern education, and use of modern weather forecasting technology. This study was carried out at Kirtipur of the Kathmandu Valley, Nepal, between 2011 and 2021. Information was collected through key informant interviews, observation, and informal discussion and survey. The findings reveal that the traditional weather forecasting system is closely intertwined with climatic phenomena, traditional agriculture practices, the local landscape, myths, and beliefs. The recognition of farmers’ knowledge on weather forecasting should be a resource of a great potential value. However, rapid expansion of the market economy, access to modern technology, affordability, access to modern education, and anthropogenic climate change have gradually detached people from their farmlands, traditional livelihoods, and occupations. All of this seems to have weakened social interaction between generations as well as their attachment to nature. Last, we conclude that the production and consumption of weather forecasting knowledge need local and scientific communities to work together to reduce knowledge gaps.

Significance Statement
The purpose of this study is to understand how farmers read nature to figure out impending weather, even as such knowledge is gradually weakening with the expansion of new technology, the intervention of modern education, the shift from farming-based to nonfarming activities for livelihood, and climate change. In such a context, the survival of traditional weather forecasting knowledge may seem uncertain. Our study reveals that traditional weather forecasting knowledge is rooted in the local landscape and subsistence farming culture. Therefore, the production and consumption of weather forecasting knowledge need local and scientific communities to work together to reduce knowledge gaps and recognize the contributions of both types of knowledge.
Migraine-attributed burden, impact and disability, and migraine-impacted quality of life: Expert consensus on definitions from a Delphi process
Authors: Steiner Timothy J , Terwindt Gisela M , Katsarava Zaza , Pozo-Rosich Patricia , Gantenbein Andreas R , Roche Sarah L , Dell’Agnello Grazia , Tassorelli Cristina 
Published: July 2022

Background Migraine-attributed burden, impact, disability and migraine-impacted quality of life are important concepts in clinical management, clinical and epidemiological research, and health policy, requiring clear and agreed definitions. We aimed to formulate concise and precise definitions of these concepts by expert consensus. Methods We searched the terms migraine-attributed burden, impact, disability and migraine-impacted quality of life in Embase and Medline from 1974 and 1946 respectively. We followed a Delphi process to reach consensus on definitions. Results We found widespread conflation of concepts and inconsistent terminology within publications. Following three Delphi rounds, we defined migraine-attributed burden as “the summation of all negative consequences of the disease or its diagnosis”; migraine-attributed impact as “the effect of the disease, or its diagnosis, on a specified aspect of life, health or wellbeing”; migraine-attributed disability as “physical, cognitive and mental incapacities imposed by the disease”; and migraine-impacted quality of life as “the subjective assessment by a person with the disease of their general wellbeing, position and prospects in life”. We complemented each definition with a detailed description. Conclusion These definitions and descriptions should foster consistency and encourage more appropriate use of currently available quantifying instruments and aid the future development of others.
Association of Cervical Vestibular-Evoked Myogenic Potentials (VEMP) and Postural Instability in Patients with Parkinson’s Disease: A Cross-Sectional Study
Authors: Gaur Archana , Rajamanickam Ravichandran , Chinnathambi Chennappan , Selvaraju Divya , Sakthivadivel Varatharajan 
Published: July 2022

Background Postural instability is a common problem in patients with Parkinson’s disease (PD). The appropriate cooperation of vestibular, visual, and proprioceptive signals along with apt anticipatory and adaptive postural responses is essential for postural stability. Abnormalities in this sensorimotor admixture lead to postural instability in PD. The function of vestibular otolith function and its central connections in postural instability of PD is still obscure. Cervical vestibular-evoked myogenic potentials (VEMP) can be used to assess the function of the saccular part of otolith and its connections. Purpose We aimed to study the role of dysfunction of the saccule and its connections at the brainstem by comparing the VEMP with normal controls and correlating it with the postural instability in patients with PD. Methods Thirty patients with PD and 30 healthy volunteers were included in the study, after obtaining the institutional ethical committee approval. Patient’s demographic data, stage and duration of illness, treatment history, history of fall, postural instability, Unified Parkinson’s Disease Rating Scale (UPDRS) score, and Non-Motor Symptoms Scales (NMSs) were noted. Cervical VEMP analysis was done for both patients and controls. Results and Conclusion Patients with absent VEMP had significant postural instability, a history of falls, and a high UPDRS score. Mean P13 and N23 latencies were prolonged, and the amplitude was significantly low in patients with PD. Absent cVEMP was significantly associated with postural instability, non-motor symptoms, especially gastrointestinal, miscellaneous symptoms, and mood/cognition. VEMP can be considered an early electrophysiological marker for dysfunction of otolith and its central connections.
Retinal arterial occlusive vasculitis following IgA nephropathy: A case report
Authors: Miguel Vazquez-Membrillo , Felipe Ramírez-Solís , Claudia Zepeda-Palacio , Anurag Shrivastava , Kira Lin , Marlon Garcia-Roa , Veronica Romero-Morales , Yolanda Villalpando-Gomez , Sonia Corredor-Casas 
Published: July 2022

PurposeTo discuss diagnosis and management in the case of a patient presenting with bilateral ischemic retinal vasculopathy associated with a previously undiagnosed IgA nephropathy.Case reportIn 2021, a 35-year-old male presented with a sudden onset asymmetric bilateral (OU) visual loss. Best-corrected visual acuity (BCVA) was 20/200 OD, and no light perception (NLP) OS with an associated relative afferent pupillary defect (RAPD). Slit-lamp examination (SLE) confirmed normal anterior segment anatomy OU. Indirect ophthalmoscopy and subsequent fluorescein angiography (FA) confirmed the presence of bilateral arterial attenuation, telangiectatic lesions, associated perivascular sheathing, and capillary leakage. Spectral domain optical coherence tomography (OCT) showed multiple areas of thinning of the inner retina. This constellation of diagnostic findings was highly suggestive of a bilateral ischemic retinal vasculopathy with an inflammatory vasculitis. Based on a high index of suspicion for a systemic etiology, nephrology was consulted, and a diagnosis of IgA nephropathy was confirmed by renal biopsy. Systemic immunomodulatory therapy was initiated.ConclusionAlthough it is among the most commonly occurring forms of glomerulonephritis leading to renal failure, IgA nephropathy rarely presents with a bilateral retinal vasculopathy. Schölein – Henoch purpura, the other primary disease associated with glomerular IgA deposition, may be indistinguishable from primary IgA nephropathy. A comprehensive retinal examination with multimodal functional and structural ophthalmic diagnostic testing in conjunction with renal biopsy was needed to confirm the diagnosis. It is critical to include primary renal pathology when formulating a differential diagnosis for cases of bilateral retinal vasculitis, particularly in young otherwise healthy patients.
Choroidal changes in posterior microphthalmos
Authors: Venkatesh Ramesh , Arora Sahil , Reddy Nikitha Gurram , Rubble Mangla , Yadav Naresh Kumar , Chhablani Jay 
Published: July 2022

Purpose To describe the choroidal variations in posterior microphthalmos (PM). Methods In this observational case series, four eyes of two patients diagnosed as PM based on the characteristic clinical features were included. Multimodal retinal imaging with clinical fundus documentation using ultrawide field fundus camera, optical coherence tomography (OCT) and indocyanine green angiography (ICGA) was done for these cases. Results Multimodal imaging of these cases confirmed the variations in the choroid in PM cases. In both cases, on OCT, the retina and choroid were thick. retinal papillomacular fold (RPMF) was noted in all four eyes. On ICGA, the dye transit time from the arm to choroid and retina were within normal limits. Choroidal vasculature in the far retinal periphery was reduced and was noted as hypocyanescent areas anterior to the equator while the density of choroidal vessels was significantly more posterior to the equator. Vortex veins were not visualised in both cases. Conclusion Choroidal structure and vessels undergo alterations in PM. Further validation of these findings is required in a larger cohort of PM cases.
Retinal vessel wall imaging using fluorescein angiography and adaptive optics imaging in acute branch retinal artery occlusion
Authors: Venkatesh Ramesh , Mutalik Deepashri , Reddy Nikitha Gurram , Akkali Mukunda Chaitanya , Yadav Naresh Kumar , Chhablani Jay 
Published: July 2022

Purpose To report the retinal vessel wall changes in a patient with acute branch retinal artery occlusion with fundus fluorescein angiography and adaptive optics imaging. Methods Retrospective, observational case Case description A 49-year-old female with cardiac ailment complained of sudden onset superior field loss for 4 days in her right eye. Her presenting visual acuity in the right eye was 20/20, N6. She was diagnosed with right eye infero-temporal branch retinal artery occlusion. A golden-yellow, round coloured embolus was noted on clinical examination obstructing the temporal division of the inferior branch of central retinal artery. Patient underwent ocular massage, anterior chamber paracentesis and oral Acetazolamide (Tab. Diamox 250 mg QID) medications. Vessel wall changes were noted using fluorescein angiography and adaptive optics retinal imaging at presentation and 10-day follow-up visit. Conclusion This case highlights the importance of multimodal retinal imaging like fluorescein angiography and adaptive optics imaging in identifying and understanding the retinal vessel wall changes in the occluded vascular segment of the retina.
Siltuximab is associated with improved progression-free survival in idiopathic multicentric Castleman disease
Authors: van Rhee Frits , Rosenthal Adam , Kanhai Karan , Martin Rabecka , Nishimura Katherine , Hoering Antje , Fajgenbaum David C. 
Published: July 2022

Abstract
Idiopathic multicentric Castleman disease (iMCD) is a rare heterogeneous disorder involving multicentric lymphadenopathy, systemic inflammation, and cytokine-driven organ dysfunction. Despite the approval of siltuximab, a monoclonal antibody against interleukin-6, for the treatment of iMCD, it is not known how long patients should receive siltuximab before determining whether the treatment is beneficial and should be continued. We performed post hoc analyses of the phase 2 randomized double-blind placebo-controlled trial of siltuximab for the treatment of patients with iMCD to determine the sequence of normalization of laboratory, clinical, and lymph node responses in patients who responded to siltuximab. Seventy-nine patients were enrolled in the trial (siltuximab, n = 53; placebo plus best supportive care, n = 26). Progression-free survival (PFS) was significantly improved in siltuximab-treated patients compared with those receiving placebo (P = .0001). The median PFS was 14.5 months (95% confidence interval, 13.6 months to upper bound not reached) for patients receiving placebo but was not reached for patients receiving siltuximab. In siltuximab-treated patients who achieved durable tumor (radiologic) and symptomatic responses (18 [34%] of 53), the median time to normalization of abnormal laboratory tests and clinical end points occurred in the following sequence: thrombocytosis, symptomatic response, elevated C-reactive protein, hypoalbuminemia, anemia, lymph node response, hyperfibrinogenemia, and elevated immunoglobulin G. Siltuximab treatment prolongs PFS, rapidly improves symptomatology, and provides meaningful clinical benefit despite some laboratory tests and enlarged lymph nodes taking months to normalize in treatment responders. These data support the continued frontline use of siltuximab for iMCD, as recommended by international guidelines. This trial was registered at www.clinicaltrials.gov as #NCT01024036.
Improved GRFS after posttransplant cyclophosphamide-based vs ATG-based HLA-mismatched unrelated donor transplant
Authors: Jimenez Jimenez Antonio , Komanduri Krishna , Brown Samantha , Wang Trent , Pereira Denise , Goodman Mark , Beitinjaneh Amer , Lekakis Lazaros , Chinapen Stephanie , Devlin Sean , Ponce Doris , Sauter Craig , Perales Miguel-Angel , Shaffer Brian C. 
Published: July 2022

Abstract
A common method to prevent graft-versus-host disease after allogeneic hematopoietic cell transplantation (HCT) from an HLA-mismatched unrelated donor (MMUD) is tacrolimus, methotrexate, and antithymocyte globulin (ATG). The use of posttransplant cyclophosphamide (PTCy) showed promise in a prospective trial for MMUD HCT. We compared 1-year graft-versus-host disease–free, relapse-free survival (GRFS) in 128 recipients of prophylaxis based on tacrolimus/methotrexate/ATG (ATG group, n = 46) vs PTCy, mycophenolate mofetil, and tacrolimus or sirolimus (PTCy group, n = 82) after MMUD HCT. Patients receiving HCT from a MMUD mismatched at ≥1 locus among HLA-A, HLA-B, HLA-C, and HLA-DRB1 were included. The 2 groups were well matched for HCT indication, high-risk disease, and HCT comorbidity index, whereas more patients on PTCy received bone marrow (50% vs 26%; P = .01) and &gt;1 locus HLA-mismatched (30.5% vs 2.2%; P = .001) grafts. The 1-year GRFS was 16% (95% confidence interval (CI): 8%-31%) vs 54% (95% CI: 44%-66%; P &lt; .001) in the ATG and PTCy groups, respectively. The multivariable adjusted hazard ratio for GRFS was 0.34 (95% CI: 0.21-0.55; P &lt; .001) with the use of PTCy. The 1-year overall survival in the ATG group was 45% (95% CI: 32%-62%) vs 75% (95% CI: 66%-85%) in the PTCy group (P &lt; .001). Relapse incidence was similar. One-year nonrelapse mortality was greater after ATG-based prophylaxis: 38% (95% CI: 23%-52%) vs 16% (95 CI: 9%-25%), P &lt; .001. In summary, PTCy-based prophylaxis resulted in superior GRFS and overall survival in recipients of MMUD.
Identification of prognostic stemness biomarkers in colon adenocarcinoma drug resistance
Authors: Li Ziyue , Chen Jierong , Zhu Dandan , Wang Xiaoxiao , Chen Jace , Zhang Yu , Lian Qizhou , Gu Bing 
Published: July 2022

Abstract
Background
Colon adenocarcinoma (COAD) is one of the leading causes of death worldwide. Cancer stem cells (CSCs) are vital for COAD chemoresistance and recurrence, however little is known about stem cell-related biomarkers in drug resistance and COAD prognosis prediction.

Methods
To uncover the roles of CSC in COAD tumorigenesis, chemoresistance, and prognosis, we retrieved COAD patients’ RNAseq data from TCGA (The Cancer Genome Atlas). We further performed analysis of differentially expressed genes (DEGs) and mRNA expression-based stemness index (mRNAsi) to identify stemness-related COAD biomarkers. We then evaluated the roles of mRNAsi in tumorigenesis, clinical-stage, overall survival (OS), and chemoresistance. Afterward, we used identified prognostic stemness-related genes (PSRGs) to construct a prediction model. After constructing the prediction model, we used elastic Net regression and area under the curve (AUC) to explore the prediction value of PSRGs based on risk scores and the receiver operator characteristic (ROC) curve. To elucidate the underlying interconnected systems, we examined relationships between the levels of TFs, PSRGs, and 50 cancer hallmarks by a Pearson correlation analysis.

Results
Twelve thousand one hundred eight DEGs were identified by comparing 456 primary COADs and 41 normal solid tissue samples. Furthermore, we identified 4351 clinical stage-related DEGs, 16,516 stemness-associated DEGs, and 54 chemoresistance-related DEGs from cancer stages: mRNAsi, and COAD chemoresistance. Compared to normal tissue samples, mRNAsi in COAD patients were marked on an elevation and involved in prognosis (p = 0.027), stemness-related DEGs based on chemoresistance (OR = 3.28, p ≤ 0.001) and AJCC clinical stage relating (OR = 4.02, p ≤ 0.001) to COAD patients. The prediction model of prognosis were constructed using the 6 PSRGs with high accuracy (AUC: 0.659). The model identified universal correlation between NRIP2 and FDFT1 (key PRSGs), and some cancer related transcription factors (TFs) and trademarks of cancer gene were in the regulatory network.

Conclusion
We found that mRNAsi is a reliable predictive biomarker of tumorigenesis and COAD prognosis. Our established prediction model of COAD chemoresistance, which includes the six PSRGs, is effective, as the model provides promising therapeutic targets in the COAD.