bluuebunny/crossref_metadata_2025_split huggingface dataset:
A null stem analysis of Persian copular verbs
Authors: Okubo Wataru , Nomoto Hiroki 
Published: March 2023

Abstract
Traditional grammars of Persian recognize two copular series for the affirmative indicative present tense, which we call the independent copulas and dependent copulas. The former has been considered as a full verb whereas the latter has been described as an enclitic. This paper explores the syntactic and phonological properties of the two copular series by looking into cases in which only one form is grammatical. We propose that the dependent copulas are not enclitics but have the same internal structure as the independent copulas, consisting of a null verbal stem and a person inflectional suffix. Through examinations of the syntactic operations of A-bar movement via association with an enclitic focus particle and ellipsis of the complement, as well as stress assignment in copular constructions, we demonstrate that nonparallel grammatical judgments arise from unsuccessful stress assignment, which results from the absence of overt material in the complement. This work contributes a new look at the copular system in Persian and beyond, which has not been extensively investigated in the literature.
Ensuring Animal Well-Being in Animal-Assisted Service Programs: Ethics Meets Practice Learning at Green Chimneys
Authors: Kinoshita Miyako , Kaufmann Michael 
Published: March 2023

Abstract
This paper illustrates the complexity of meeting a high and constant standard of animal welfare at Green Chimneys, a residential treatment facility and therapeutic day school for children with psychiatric diagnosis ages K-12. Green Chimneys incorporates over 300 animals of various species in animal-assisted education and therapy programs. Ensuring the well-being of horses, farm animals, camels, reptiles, dogs, and wild birds in captivity demands a practical, systemic, and most of all, flexible philosophical animal welfare framework. Implementing a consistent animal care program, in a larger community of students and adults who often have divergent beliefs about the treatment of animals, is challenging.
Examples of ethical struggles that impact practical, real life animal care and treatment decisions are included. The authors also describe their ongoing communication process regarding animal care with their team, with the goal of encouraging other programs to engage in similar conversations and recognize that ethically caring for and working with animals in a human-service setting is an ongoing journey.
The effect of the surface morphology of the aluminium oxide layer on the physical and bacterial attachment behavior
Authors: Kaya Şevval , Sarıbıyık Oğuz Yunus 
Published: March 2023

Abstract
Coating of the metal surface for different fields such as corrosion resistance, hydrophobic surface, and conductivity properties enhance the material quality for different application. Furthermore, controlling the morphological structures and the size of the coating materials is one of the most important factors for designing their functionality. The new approaches to the effect of surface properties at the atomic level on bacterial adhesion offer new perspectives on this subject. In this study, the effect of the different current densities on the morphological microstructural features, microhardness properties, and bacterial attachment behavior of the protective aluminum oxide layer was investigated by using different analytical and instrumental methods. The Staphylococcus aureus was used as a model bacteria for attachment tests. The result presented in the current study exhibited that the crystal morphology, microhardness, and bacterial adhesion features have changed depending on the applied current density. Increasing the current density from 1.5 to 1.7 raises the microhardness from 88 to 126 (Vickers) and causes higher surface roughness by 56 nm, 114 nm and 124 nm respectively. The high number of the attached bacteria were determined on the more roughness surface during the study.
Measuring complex refractive index through deep-learning-enabled optical reflectometry
Authors: Wang Ziyang , Lin Yuxuan Cosmi , Zhang Kunyan , Wu Wenjing , Huang Shengxi 
Published: March 2023

Abstract
Optical spectroscopy is indispensable for research and development in nanoscience and nanotechnology, microelectronics, energy, and advanced manufacturing. Advanced optical spectroscopy tools often require both specifically designed high-end instrumentation and intricate data analysis techniques. Beyond the common analytical tools, deep learning methods are well suited for interpreting high-dimensional and complicated spectroscopy data. They offer great opportunities to extract subtle and deep information about optical properties of materials with simpler optical setups, which would otherwise require sophisticated instrumentation. In this work, we propose a computational approach based on a conventional tabletop optical microscope and a deep learning model called ReflectoNet. Without any prior knowledge about the multilayer substrates, ReflectoNet can predict the complex refractive indices of thin films and 2D materials on top of these nontrivial substrates from experimentally measured optical reflectance spectra with high accuracies. This task was not feasible previously with traditional reflectometry or ellipsometry methods. Fundamental physical principles, such as the Kramers–Kronig relations, are spontaneously learned by the model without any further training. This approach enables in-operando optical characterization of functional materials and 2D materials within complex photonic structures or optoelectronic devices.
Validation of a 0/1 h Algorithm for Rapid Diagnosis of Myocardial Infarction Using a High-Sensitivity Troponin I Assay
Authors: Lehmacher Jonas , Toprak Betül , Sörensen Nils Arne , Bei der Kellen Ramona , Goßling Alina , Hartikainen Tau Sarra , Haller Paul Michael , Schock Alina , Twerenbold Raphael , Zeller Tanja , Blankenberg Stefan , Westermann Dirk , Neumann Johannes Tobias 
Published: March 2023

Abstract

Background
Current guidelines recommend 0/1 h algorithms using high-sensitivity cardiac troponin (hs-cTn) for fast diagnosis of myocardial infarction (MI). Yet, for some assays, existing data is limited. We aimed to evaluate the diagnostic performance and the prognostic value of a rapid 0/1 h algorithm for the Access hs-cTnI assay.

Methods
In consecutive patients presenting with suspected MI, we measured concentrations of Access hs-cTnI at presentation and after 1 hour. Final diagnosis was adjudicated independently by 2 cardiologists. Parameters for diagnostic performance were calculated, applying the recently derived European Society of Cardiology (ESC) 0/1 h algorithm for Access hs-cTnI. Additionally, we assessed the prognostic utility of Access hs-cTnI for the composite end point of all-cause mortality and incident MI at 3 years.

Results
In 1879 patients, 257 non-ST-elevation MIs occurred. Application of the 0/1 h algorithm classified 44.5% as rule-out, 20.3% as rule-in, and triaged 35.1% to the observe group. High rule-out safety was confirmed with a sensitivity of 97.7% (95% CI, 95.0%–99.1%) and a negative predictive value of 99.3% (95% CI, 98.4%–99.7%). Rule-in capacity was moderate with a specificity of 88.0% (95% CI, 86.3%–89.6%) and a positive predictive value of 50.8% (95% CI, 45.7%–55.9%). After exclusion of patients with ST-elevation MI the results showed strong prognostic value, even after adjustment for cardiovascular risk factors and comorbidities, with adjusted hazard ratios of 2.51 (95% CI, 1.56–4.04) in the observe and 3.55 (95% CI, 2.18–5.79) in the rule-in group for the composite end point of all-cause mortality and incident MI at 3 years, compared to ruled-out patients.

Conclusion
The ESC 0/1 h algorithm for Access hs-cTnI allows safe and efficient triage of patients with suspected MI and has strong prognostic utility up to 3 years after the initial evaluation.
METTL3-mediated m6A modification of HMGA2 mRNA promotes subretinal fibrosis and epithelial–mesenchymal transition
Authors: Wang Yuwei , Chen Yuhong , Liang Jian , Jiang Mei , Zhang Ting , Wan Xiaoling , Wu Jiahui , Li Xiaomeng , Chen Jieqiong , Sun Junran , Hu Yifan , Huang Peirong , Feng Jingyang , Liu Te , Sun Xiaodong 
Published: March 2023

Abstract
Subretinal fibrosis is a major cause of the poor visual prognosis for patients with neovascular age-related macular degeneration (nAMD). Myofibroblasts originated from retinal pigment epithelial (RPE) cells through epithelial–mesenchymal transition (EMT) contribute to the fibrosis formation. N6-Methyladenosine (m6A) modification has been implicated in the EMT process and multiple fibrotic diseases. The role of m6A modification in EMT-related subretinal fibrosis has not yet been elucidated. In this study, we found that during subretinal fibrosis in the mouse model of laser-induced choroidal neovascularization, METTL3 was upregulated in RPE cells. Through m6A epitranscriptomic microarray and further verification, high-mobility group AT-hook 2 (HMGA2) was identified as the key downstream target of METTL3, subsequently activating potent EMT-inducing transcription factor SNAIL. Finally, by subretinal injections of adeno-associated virus vectors, we confirmed that METTL3 deficiency in RPE cells could efficiently attenuate subretinal fibrosis in vivo. In conclusion, our present research identified an epigenetic mechanism of METTL3–m6A–HMGA2 in subretinal fibrosis and EMT of RPE cells, providing a novel therapeutic target for subretinal fibrosis secondary to nAMD.
A learning approach towards metre-based classification of similar Hindi poems using proposed two-level data transformation
Authors: Naaz Komal , Singh Niraj Kumar 
Published: March 2023

Abstract
With the advancement in technology and digitalization of resources, computation of humanities problems is no exception to remain untouched. Automatic poetry classification is now a well-defined problem which can be solved using various approaches. Mood-based poetry classification is one of the popular ones. We propose a learning approach towards metre-based classification of Hindi metrical poetry. The state of art model for the metre-based poetry classification uses the rule-based approach whereas the proposed system uses learning models to perform classification. Feature extraction and classification are the two main components of text classification in natural language processing. Text is transformed into machine-readable numbers through the process of feature extraction, which is subsequently submitted to classification models. Poems, in their most natural formulation, are unfit to any learning-based algorithms. However, transforming the data into certain form and selecting a fixed number of features out of it (feature extraction) made the classification possible using machine learning approach which was yet untouched and can act as benchmark for the concerned area of research. The article deals with six popular and similar types of Hindi poems. The dataset is collected and processed to form an early dataset that undergoes two levels of data transformation and feature engineering, resulting in the pre-processed dataset. The pre-processed dataset is then fed as input to selected machine learning models (Bernoulli Naïve Bayes, k-nearest neighbour, random forest, and support vector machine) producing classification result with best accuracy of 99%, that further undergoes a post-processing step based on observed misclassifications.
Perspectives on Diagnosis and Management of All-Cause Encephalitis: A National Survey of Adult Infectious Diseases Physicians
Authors: Le Maréchal Marion , Diaz-Arias Luisa A , Beekmann Susan E , Polgreen Philip , Messacar Kevin , Tunkel Allan R , Thakur Kiran T , Venkatesan Arun 
Published: March 2023

Abstract

Background
Encephalitis is widely recognized as a challenging condition to diagnose and manage. The care of patients with encephalitis typically involves multiple disciplines, including neurologists and infectious disease (ID) physicians. Our objective was to describe the perspectives and needs of ID physicians regarding encephalitis, using a cross-sectional questionnaire survey.

Methods
We performed a survey among physician members of the Infectious Diseases Society of America's (IDSA) Emerging Infections Network (EIN).

Results
Response rate was 33% (480 among 1472 active EIN physician members). More than 75% of respondents reported caring for patients with suspected encephalitis. Although one-third were involved in the care of multiple patients with autoimmune encephalitis (AE) annually, comfort in diagnosing and managing encephalitis, and in particular AE, was low. Experience with advanced diagnostic tools was variable, as were approaches toward deployment of such tools. Respondents noted that training could be improved by incorporating a multidisciplinary approach taking advantage of online and virtual platforms. ID physicians report a heavy reliance on the 2008 IDSA guidelines for the management of encephalitis, and indicated strong support for a formal update.

Conclusions
ID physicians play an important role in the diagnosis and management of all-cause encephalitis. Despite exposure to AE, few ID physicians are comfortable in recognizing, diagnosing, and treating AE. Moreover, comfort with and use of advanced diagnostic tools for infectious encephalitis was highly variable. Training in encephalitis should include a focus on use and stewardship of advanced diagnostic tools and on collaborative approaches with neurologists and other practitioners on mechanisms and clinical presentations of AE. There is a need for a formal update of 2008 guidelines on the management of encephalitis.
Early Target Attainment With Continuous Infusion Meropenem and Piperacillin/Tazobactam and Utilization of Therapeutic Drug Monitoring in Critically Ill Patients: A Retrospective Cohort Study From 2017 to 2020
Authors: Dräger Sarah , von Rotz Matthias , Labhardt Niklaus D , Siegemund Martin , Rentsch Katharina M , Osthoff Michael , Franzeck Fabian C 
Published: March 2023

AbstractBackgroundWe analyzed the attainment of early pharmacological targets of continuous infusion meropenem and piperacillin/tazobactam and the use and effect of a real-time therapeutic drug monitoring (TDM) program on subsequent dosing and target attainment in patients who are critically ill.MethodsThis was a single-center, retrospective study among patients hospitalized in the intensive care unit in a Swiss tertiary care hospital from 2017 to 2020. The primary outcome was target attainment [100% tT ≥ 4xECOFF (Pseudomonas aeruginosa)] of continuous infusion meropenem and piperacillin/tazobactam within 72 hours after initiation of treatment.ResultsA total of 234 patients were included. Median first meropenem (n = 186 of 234) and piperacillin (n = 48 of 234) concentration was 21 mg/L (interquartile range [IQR], 15.6–28.6) and 100.7 mg/L (IQR, 64.0–160.2), respectively. Pharmacological target was attained in 95.7% (95% confidence interval [CI], 91.7–98.1) of patients receiving meropenem and 77.0% (95% CI, 62.7–87.9) treated with piperacillin/tazobactam. In the univariable and multivariable logistic regression, body weight and estimated glomerular filtration rate were negatively associated with target attainment. Subsequently, meropenem dosage was decreased or stopped in 35 of 186 (18.8%) and 89 of 186 (47.9%) patients, respectively, and increased in 2 of 186 (1.1%) patients.ConclusionsContinuous infusion meropenem and piperacillin/tazobactam yielded excellent and moderate early pharmacological target attainment in critically ill patients, respectively. The TDM was mainly used to decrease meropenem dosage.
Insufficient Representation of Patients With Obesity in Randomized Controlled Trials Evaluating the Efficacy and Safety of Antimicrobials for Treatment of Skin and Skin Structure Infections: A Scoping Review
Authors: Lee Hay S , Wagner Jamie L , Vugrin Margaret , Brandenburg Rebecca T , Lee Jeremy , Miller Lindsey , Rayborn Stephen , Hall Ronald G 
Published: March 2023

AbstractPersons with obesity (PwO) represent approximately 50% of acute bacterial skin and skin structure infections (ABSSSIs) in the United States (US). There are currently insufficient data in PwO for drugs used for ABSSSIs. We conducted a scoping review of randomized controlled trials (RCTs) published between 2000 and 2022 to describe how frequently body size measures were reported. Weight and/or body mass index (BMI) were recorded in approximately 50% of the 69 RCTs. The average weights or BMIs were lower than US averages for most RCTs reporting data. None evaluated the impact of body size on outcomes in the original publication. Only 30% of newly approved drugs mention PwO representation in the prescribing information. More representative recruitment of PwO into RCTs is needed to help clinicians evaluate efficacy in these patients. We suggest that the Food and Drug Administration require companies to submit plans to ensure adequate PwO inclusion and that authors of RCTs report subgroup results based on body size.
Atezolizumab Plus PEGPH20 Versus Chemotherapy in Advanced Pancreatic Ductal Adenocarcinoma and Gastric Cancer: MORPHEUS Phase Ib/II Umbrella Randomized Study Platform
Authors: Ko Andrew H , Kim Kyu-Pyo , Siveke Jens T , Lopez Charles D , Lacy Jill , O’Reilly Eileen M , Macarulla Teresa , Manji Gulam A , Lee Jeeyun , Ajani Jaffer , Alsina Maqueda Maria , Rha Sun-Young , Lau Janet , Al-Sakaff Nedal , Allen Simon , Lu Danny , Shemesh Colby S , Gan Xinxin , Cha Edward , Oh Do-Youn 
Published: March 2023

Abstract

Background
The MORPHEUS platform comprises multiple open-label, randomized, phase Ib/II trials designed to identify early efficacy and safety signals of treatment combinations across cancers. Atezolizumab (anti-programmed cell death 1 ligand 1 [PD-L1]) was evaluated in combination with PEGylated recombinant human hyaluronidase (PEGPH20).

Methods
In 2 randomized MORPHEUS trials, eligible patients with advanced, previously treated pancreatic ductal adenocarcinoma (PDAC) or gastric cancer (GC) received atezolizumab plus PEGPH20, or control treatment (mFOLFOX6 or gemcitabine plus nab-paclitaxel [MORPHEUS-PDAC]; ramucirumab plus paclitaxel [MORPHEUS-GC]). Primary endpoints were objective response rates (ORR) per RECIST 1.1 and safety.

Results
In MORPHEUS-PDAC, ORRs with atezolizumab plus PEGPH20 (n = 66) were 6.1% (95% CI, 1.68%-14.80%) vs. 2.4% (95% CI, 0.06%-12.57%) with chemotherapy (n = 42). In the respective arms, 65.2% and 61.9% had grade 3/4 adverse events (AEs); 4.5% and 2.4% had grade 5 AEs. In MORPHEUS-GC, confirmed ORRs with atezolizumab plus PEGPH20 (n = 13) were 0% (95% CI, 0%-24.7%) vs. 16.7% (95% CI, 2.1%-48.4%) with control (n = 12). Grade 3/4 AEs occurred in 30.8% and 75.0% of patients, respectively; no grade 5 AEs occurred.

Conclusion
Atezolizumab plus PEGPH20 showed limited clinical activity in patients with PDAC and none in patients with GC. The safety of atezolizumab plus PEGPH20 was consistent with each agent’s known safety profile. (ClinicalTrials.gov Identifier: NCT03193190 and NCT03281369).
Characterization of Gut Microbiome Composition in Patients with Triple-Negative Breast Cancer Treated with Neoadjuvant Chemotherapy
Authors: Vernaci Grazia , Savarino Edoardo Vincenzo , Patuzzi Ilaria , Facchin Sonia , Zingone Fabiana , Massa Davide , Faggioni Giovanni , Giarratano Tommaso , Miglietta Federica , Griguolo Gaia , Fassan Matteo , Lo Mele Marcello , Gasparini Elisa , Bisagni Giancarlo , Guarneri Valentina , Dieci Maria Vittoria 
Published: March 2023

Abstract

Introduction
Patients with triple-negative breast cancer (TNBC) achieving a pathological complete response (pCR) after neoadjuvant chemotherapy have a better event-free survival. The role of gut microbiome in early TNBC is underexplored.

Methods
Microbiome was analyzed by 16SrRNA sequencing.

Results
Twenty-five patients with TNBC treated with neoadjuvant anthracycline/taxane-based chemotherapy were included. Fifty-six percent achieved a pCR. Fecal samples were collected before (t0), at 1 (t1), and 8 weeks (t2) from chemotherapy. Overall, 68/75 samples (90.7%) were suitable for microbiome analysis. At t0, pCR group showed a significantly higher α-diversity as compared with no-pCR, (P = .049). The PERMANOVA test on β-diversity highlighted a significant difference in terms of BMI (P = 0.039). Among patients with available matched samples at t0 and t1, no significant variation in microbiome composition was reported over time.

Conclusions
Fecal microbiome analysis in early TNBC is feasible and deserves further investigation in order to unravel its complex correlation with immunity and cancer.
Missed Opportunities in Geriatric Oncology Research
Authors: Lichtman Stuart M 
Published: March 2023

Abstract
The field of geriatric oncology has made significant progress in recent decades, but there are still missed opportunities in important areas of research. One issue is the underrepresentation of older patients, especially those aged 75 years and older, in clinical trials. This has resulted in a lack of high-quality data for the care of this population, and the American Society of Clinical Oncology has called for an increase in the evidence base for older patients with cancer. The second missed opportunity is the chance to gather important knowledge from older patients participating in clinical trials, such as medications, social support, insurance, and financial information. These data can be easily collected and incorporated into the trial design to enhance the information available to researchers and clinicians. The third missed opportunity is the chance to robustly analyze and report clinical trial data for the benefit of geriatric oncology research. Many trials only report a median age and range, which is a disservice to both the participants and the patients who will be treated based on the study results. To advance geriatric oncology research, the necessary data need to be collected, analyzed, and reported through appropriate representation of older patients, collection of essential information, and thorough analysis and communication of results. Clinical trial design needs to include geriatric baseline parameters, and Cancer Therapy Evaluation Program (CTEP) has modified its template to include these parameters.
Spectral study of the Galactic ridge X-ray emission with Suzaku: Comparison of the spectral shape with point sources
Authors: Yamamoto Kumiko , Yamauchi Shigeo , Nobukawa Masayoshi , Nobukawa Kumiko K , Uchiyama Hideki 
Published: March 2023

AbstractThe Galactic ridge X-ray emission (GRXE) is unresolved X-ray emission located on the Galactic plane, and whether the GRXE comes from truly diffuse plasma or unresolved point sources is still debatable. We present results of spectral analysis of the GRXE with Suzaku. In order to examine the point source origin, we fitted the GRXE spectra in the 1.2–10 keV energy band with a point source model, which is a mixture of active binary stars (ABs) and non-magnetic cataclysmic variables (non-mCVs), and found that the model cannot represent the GRXE spectral shape as long as the standard metal abundances of these species are assumed. In particular, the standard abundance model cannot account for the observed intensities of Si, S, and Ar lines as well as the previously reported Fe line. Assuming spatial densities in the solar neighborhood, integration of the ABs and non-mCVs accounts for only 30% of the observed GRXE flux. Other species of the point sources or diffuse emission with stronger Si, S, Ar, and Fe emission lines shall explain the rest.