bluuebunny/crossref_metadata_2025_split huggingface dataset:
Red cell molecular matching between autoimmune hemolytic anemia patients and blood donors
Authors: Cruz Bruno Ribeiro , Barros Melca Oliveira , Rabelo Iara Baldim , Silva Thamy Caroline de Souza , Chiba Akemi Kuroda , Moritz Elyse , Bordin José Orlando 
Published: May 2023

Abstract
Background Current blood-matching practices are challenging for patients with autoimmune hemolytic anemia (AIHA) because autoantibodies may interfere in hemagglutination assays. Blood group genotyping methods are an important complement to serology and allow the prediction of the phenotype from deoxyribonucleic acid (DNA) with high accuracy. Furthermore, technology for genotyping of red blood cell antigens in donor-recipient matching for blood group polymorphisms is moving into practice, mainly for patient groups with hemoglobinopathies. However, the routine use of antigen molecular matching for AIHA patients remains to be better determined. We hypothesized that performing the molecular matching between AIHA patients and blood donors could improve the selection of antigen-matched red blood cell units.
Methods Using the blood-MLPA assay, we determined the blood group genotype from 198 donors and 24 AIHA patients and performed the RBC molecular matching between the two groups. Besides, using the hemagglutination technique we performed the RBC phenotyping for major blood group antigens of AIHA patients and compare the phenotyping with the genotyping results.
Results: We were able to find RBC genotype-matched donors for 20/24 (83.3%) of our AIHA patients. From 118 phenotyping results, we found three (2.5%) discrepancies between the phenotype predicted by genotyping and the phenotype determined by serology.
Conclusions In this study, our data indicate the real benefits of RBC genotyping for AIHA patients who usually present problematic immunohematological serologic reactions. Such a strategy may present information about additional RBC alloantibodies and reduce the potential risk of transfusion reactions.
Sub-tropical Teleconnection Drives ‘Onset’ of Indian Summer Monsoon over Northeast India (NEI) in May.
Authors: Das Simanta , Goswami Dhruba Jyoti , Goswami B. N. 
Published: May 2023

Abstract

While recognizing that the length of the rainy season over northeast India (NEI) is much longer than June-September as over Central India (CI), the official onset of Indian summer monsoon over NEI is around 3rd June, and May rainfall is still considered ‘pre-monsoon’. We show that the climatological ‘onset’ over the NEI occurs around 11th May and is associated with 3–4 times increase in large-scale cyclonic vorticity over the region and a 5–6 times increase of northward moisture transport over North Bay of Bengal (BoB). Busting a myth, that May rainfall is ‘pre-monsoon’, we further show that the May rainfall is ‘monsoon’ rainfall and comes in spells longer than 5 days as in June and associated with large synoptic-scale low-level cyclonic vorticity. However, what drives the Onset of monsoon in May while the Intertropical Convergence Zone (ITCZ) is still close to the equator remained a puzzle. Here, we show that the early May ‘onset’ over NEI is forced by the winds at a low level associated with a climatological barotropic cyclonic vortex that interacts with the orography and sets up a large-scale heat source over NEI, accelerates northward moisture transport from Bay of Bengal (BoB), sustains the heat source and leads to ‘onset’ of monsoon over NEI. Delayed (early) onset over the NEI is due to the weakening (strengthening) of the climatological vortex through teleconnection with drivers like the El Nino and Southern Oscillation and Atlantic Nino. Our finding that a component of the Indian summer monsoon rainfall (ISMR) is unrelated to the ITCZ not only warrants a reexamination of the basic definition of South Asian Monsoon but also a revision of the prevailing notion of June-September as the Indian monsoon season over Northeast India (NEI) to May-September. The conclusions have important implications for prediction and predictability of the NEI climate.
Integrating single-cell and bulk RNA sequencing to identify TXNRD1 as effective target for prognostic and therapeutic strategy in Hepatocellular Carcinoma
Authors: Nie Junjie , Wang Haoyu , Tan Pei , Sun Huiling , Liu Xiangxiang , Gao Tianyi , Pan Yuqin , Wang Shukui 
Published: May 2023

Abstract
Thioredoxin reductase (TXNRD1) acts as part of a major enforcer of redox homeostasis in the intracellular environment. However, its prognostic value and the relationship between TXNRD1 and core ferroptosis-related genes in hepatocellular carcinoma remain unclear. Here, we systematically analyzed and described the potential function and prognostic value of TXNRD1 in hepatocellular carcinoma. TXNRD1 was aberrantly expressed in several cancer types including liver cancer, and elevated TXNRD1 expression was associated with tumor histological grade and pathologic stage, resulting in markedly shorter survival in these patients. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) results suggested that TXNRD1 is mainly involved in glucose and fat metabolism. Importantly, TXNRD1 may affect cancer prognosis partially by regulating ferroptosis. A prognostic model based on TXNRD1 and seven ferroptosis-related genes (ATG5, PCBP2, SLC7A11, ACSL6, SAT1, SLC40A1, and STEAP3) divided patients with liver cancer into the low-risk group and the high-risk group and was shown to be an independent risk factor for clinical application. We further found that patients with high-risk scores underwent an increased macrophage infiltration compared to patients with low-risk scores, which resulted in immune escape. In short, TXNRD1 is an overlooked predictor, which can be utilized as a candidate prognostic biomarker in liver cancer, and it may hold promise in drug-resistant patients.
A qualitative exploration of the impact of a Hospital Electronic Prescribing and Medicines Administration (HEPMA) protocol on junior doctor confidence and competence to prescribe end of life care medicines
Authors: McLean Ewan , McLean Amanda , Bennie Marion 
Published: May 2023

Abstract
Background
With Hospital Electronic Prescribing and Medicines Administration (HEPMA) systems now in widespread use across hospital inpatient clinical services, work is underway to measure the benefits of HEPMA on healthcare systems and patient care. HEPMA functionality enables users to prescribe medicines by ‘bundle’ or ‘protocol’; it is suggested that this is a significant system benefit, though there are few qualitative data to support this.
Aim
This study aimed to explore the impact of an electronic anticipatory care medicines protocol on junior doctor perceptions of their confidence and competence to prescribe opioids and midazolam for patients at the end of life.
Methods
Between May and August 2022, one-to-one semi-structured interviews were conducted at a 570-bed District General Hospital (DGH) with junior doctors who had experience of prescribing on both HEPMA and paper-based systems. Audio recordings of the interviews were transcribed verbatim and underwent thematic analysis.
Results
10 junior doctors participated (median age 23 years). Analysis generated five main themes that described perceptions and attitudes towards confidence and competence. These were prescribing safety benefits; IT infrastructure, interoperability and system design concerns; clinical knowledge and training needs; cultural and social factors and risks of automation in prescribing.
Conclusion
This study suggests that junior doctors experienced an overall increase in their confidence and competence to prescribe anticipatory medicines post-implementation of a HEPMA/CPOE protocol. Further studies are required to detail the impact of HEPMA/CPOE protocols on end-user clinical practice.
Transformers bridge vision and language to estimate and understand scene meaning
Authors: Hayes Taylor R. , Henderson John M. 
Published: May 2023

Abstract

Humans rapidly process and understand real-world scenes with ease. Our stored semantic knowledge gained from experience is thought to be central to this ability by organizing perceptual information into meaningful units to efficiently guide our attention in scenes. However, the role stored semantic representations play in scene guidance remains difficult to study and poorly understood. Here, we apply a state-of-the-art multimodal transformer trained on billions of image-text pairs to help advance our understanding of the role semantic representations play in scene understanding. We demonstrate across multiple studies that this transformer-based approach can be used to automatically estimate local scene meaning in indoor and outdoor scenes, predict where people look in these scenes, detect changes in local semantic content, and provide a human-interpretable account of why one scene region is more meaningful than another. Taken together, these findings highlight how multimodal transformers can advance our understanding of the role scene semantics play in scene understanding by serving as a representational framework that bridges vision and language.
Comparison of Missing Data Imputation Methods on Mixture Cure Survival Analysis Results in a Cardiovascular Disease Cohort
Authors: Ahmad Shokh Mukhtar , Muhammed Nawzad 
Published: May 2023

Abstract
The goal of this study was to investigate the effect of missing data in the covariate variable on the amount of lost information in the cure mixture survival analysis model. For this purpose, data from patients of a cardiovascular cohort in Sulaimani Hospital were used. In the case of missing completely at random, in six situations, include full data and 10% to 50% missing data, AIC and BIC values of the models were compared. The results showed that the behavior of these two indicators was the same in comparing the models. Also, the choice of the appropriate imputation method for cured mixture models depends on the rate of missing data. In 10% of missing, due to the low number of missing individuals, the simple method such as mean was the best method. But for higher percentages, hot deck and regression methods performed better. Also, due to the skewed distribution of patients' age data, in cases with a missing of more than 40%, the median has shown better performance.
"Discovering shine through feedback seeking"---Feedback seeking among new graduate nurses: a qualitative study
Authors: Song Ziling , Shen Yuanyuan , Yao Xin , Wen Siqi , Wang Jing , Chen Yanyan , Zhang Peihua , Huang Xiaoqiong 
Published: May 2023

Abstract
Background：Feedback is critical to improving practitioners' clinical practice and professional growth. Although new graduate nurses are still considered junior practitioners, their feedback-seeking experiences have yet to be investigated. This study aimed to understand the fundamental thoughts and experiences of new graduate nurses regarding feedback seeking and to identify the main factors that influence their feedback seeking behaviors.
Methods：In-depth interviews were conducted among newly graduated nurses using qualitative exploratory semi-structured interviews in four hospitals in the Zhejiang Province, China. Interview data were evaluated using Colaizzi 7-step phenomenological data analysis. The COREQ checklist was followed.
Results：From the data gathered, 13 categories emerged, which were then categorized into four central elements: (1) perceptions and attitudes, (2) drivers, (3) dilemmas and needs, and (4) transformation and growth.
Conclusion：This study empowers nursing administrators and educators to recognize the obstacles and demands of new graduate nurses seeking feedback and the need for special attention in developing strategies to encourage new graduate nurses’ feedback seeking behaviors and stabilize the new graduate nurse workforce. Nursing managers should be proficient at providing positive leadership; collaborate with clinical mentors to foster an atmosphere where new graduate nurses may obtain honest, transparent, and fair feedback; and exercise caution when providing negative feedback.
Genomes to Fields 2022 Maize Genotype by Environment Prediction Competition
Authors: Lima Dayane Cristina , Washburn Jacob D. , Varela José Ignacio , Chen Qiuyue , Gage Joseph L. , Romay Maria Cinta , Holland James , Ertl David , Lopez-Cruz Marco , Aguate Fernando M. , Campos Gustavo de los , Kaeppler Shawn , Beissinger Timothy , Bohn Martin , Buckler Edward , Edwards Jode , Flint-Garcia Sherry , Gore Michael A. , Hirsch Candice N. , Knoll Joseph E. , McKay John , Minyo Richard , Murray Seth C. , Ortez Osler A. , Schnable James C. , Sekhon Rajandeep S. , Singh Maninder P. , Sparks Erin E. , Thompson Addie , Tuinstra Mitchell , Wallace Jason , Weldekidan Teclemariam , Xu Wenwei , de Leon Natalia 
Published: May 2023

Abstract
Objectives:
The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (G x E) Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize G x E project field trials, leveraging the datasets previously generated by this project and other publicly available data.
Data description:
This resource used data from the Maize G x E project within the G2F Initiative [1]. The dataset included phenotypic and genotypic data of the hybrids evaluated in 45 locations from 2014 to 2022. Also, soil, weather, environmental covariates data and metadata information for all environments (combination of year and location). Competitors also had access to ReadMe files which described all the files provided. The Maize G x E is a collaborative project and all the data generated becomes publicly available [2]. The dataset used in the 2022 Prediction Competition was curated and lightly filtered for quality and to ensure naming uniformity across years.
Lessons for regulatory involvement – the involved patient experience in the MHRA ILAP project
Authors: Wilson Roger , Sotirelis Chris , Scanlon Miranda , Jones Steve 
Published: May 2023

Abstract
Background
The MHRA Innovative Licensing Access Pathway (ILAP) is a project designed to provide new medicines with a quicker route through the regulatory system and thus to patients. Public and patient involvement in ILAP was established by MHRA through a Public and Patient Reference Group (PPRG). This was done prior to publication of its PPI Strategy and ILAP is included in that Strategy.
What Happened
The PPRG was established within the ILAP programme to advise on patient engagement within the ILAP process. Some members also volunteered to attend meetings of the Steering Group from mid-2021 and took part in the review of pharmaceutical company applications for entry to ILAP. Over the course of two years, as the ILAP programme was extended, the number of the involved members fell, while experience grew and the input of those remaining became more valued. At the same time the MHRA was developing its PPI strategy and looking for ways to address the challenge of involvement across the considerable breadth of its activities.
Conclusion
Public and patient involvement in the ILAP project has been positive, facilitated by MHRA staff and their colleagues from ILAP partner organisations. Patients’ knowledge and experience from their previous involvement in medicines development and other research has contributed to the ILAP process. It has clearly demonstrated that experienced patient advocates can address issues which lie outside their personal ‘lived experience’ and which may also be innovative and scientifically challenging. However, the corporate communication with PPRG members has been variable. Members of the group were not consulted when MHRA reviewed the ILAP programme or included in discussions about the future of patient involvement in ILAP or later successor programmes. Decisions on other factors, such as whether patient advocates should be paid for their time, as is the case in other agencies, have been deferred.
Weather-like forcing in population mortality rates
Authors: Vissio Gabriele 
Published: May 2023

Abstract
Weather affects population dynamics in multiple ways, especially considering dramatic phenomena such as meteorological extreme events. In this paper we make use of a six-dimensional dynamical system, built joining the three-species Hastings-Powell model and the three-dimensional Lorenz 84 model, which depicts the atmospheric circulation in broad terms, to investigate the effect of perturbing the death rate of primary and secondary consumers with a weather-like forcing. We find that this model provides a qualitative, weather-based explanation for real-world phenomena such as irregularities in a species' cycle, asynchronicity between different species' cycles, and increase of pest population due to extreme events.
Effects of improving cognitive function and depression among older adults with mild cognitive impairment in Taiwan using expressive arts therapy
Authors: Yao Ching-Teng 
Published: May 2023

Abstract
Older adults with mild cognitive impairment (MCI) are at increased risk of progression to dementia. Whether it is feasible to engage this population in expressive arts therapy and yield effects on cognition and depression for older adults with MCI remained unclear. The aim of this study examined the effects of expressive arts therapy on the cognitive function and depression levels of older adults with MCI in day care centers in Taiwan. A quasi-experimental design was conducted in a sample of day care centers older adults with MCI. A total of 88 participants with MCI were assigned to the intervention or comparison group. The intervention groups participated in an expressive arts therapy for twelve weeks in addition to their daily activities. Data were collected at the baseline point and immediately after post-intervention. Generalized estimating equations were used to examine the effect of the intervention on the outcomes. At week twelve, Findings indicated that the intervention group had significant improvement in cognitive function and depression over time than the comparison group. These findings provide evidence for the feasibility and efficacy of expressive arts therapy intervention in older adults with MCI.
An erythrocyte membrane-derived nanosystem for efficient reversal of endothelial injury in sepsis
Authors: Zhang Yao , Li Jian , Qi Jing , Chen Ziying , Wang Kai , Sun Chuanzheng 
Published: May 2023

Abstract
Background: Sepsis is caused by a disordered host immune in response to infection and endothelial cells (ECs) perform a crucial role in boosting immunity reaction in the pathophysiology of sepsis and organ failure. The aim of this study is to construct a novel erythrocyte membrane-derived nanosystems to reverse endothelial damage in sepsis.
Results: Herein, we generated a nanometer calcium organometallic framework (Ca-MOF) by using chelidonic acid as a ligand and calcium chloride as an ion donor for anti-inflammation. Then, zoliflodacin was loaded into Ca-MOF (CMZ) to sterilize, and nanoscale erythrocyte membrane vesicles were prepared by modification with a γ3 peptide on the surface (γ3-RM) for precise targeting. Finally, the novel erythrocyte membrane-camouflaged nanoparticle γ3-RCMZ was synthesized. The superior performance of novel nanosystem results from its suitable biocompatibility, nontoxicity, specific targeting, and anti-inflammatory and bactericidal effects. Its mechanism mainly involves the Caspase1-NFκB pathway and oxidative stress reduction to alleviate endothelial damage. Moreover, our findings revealed for the first time that the bactericidal drug zoliflodacin also had anti-inflammatory effects in vivo and in vitro.
Conclusions: Basing on the suitable biocompatibility, nontoxicity, specific targeting, and anti-inflammatory and bactericidal effects, the novel nanosystem (γ3-RCMZ) provides a new nanotherapy strategy for sepsis treatment.
Keywords: Metal-organic frame; Nanodrug delivery system; Sepsis; Endothelial injury; Erythrocyte membrane
Non-specific Ventilatory Defect Predicts Nocturnal Hypoxemia in Subjects with Obesity
Authors: Lalani Ishan , Shimizu Shoji , Qadir Faisal , Ayache Mirna 
Published: May 2023

Abstract
Although nocturnal hypoxemia has been linked to obesity, the relationship between spirometry parameters and nocturnal oxygen saturation (SpO2) has not been well studied in subjects with obesity.
This a retrospective cross-sectional chart review of adult patients with obesity, who had PFT (pulmonary function tests) and diagnostic polysomnogram within 6 months between 2017-2019.
A total of 227 patients were included in the analysis, of which 69% were females and 43.8% were African Americans. In the absence of obstruction on spirometry, FEV1 (forced expiratory volume in first second) and FVC (forced vital capacity) were associated with lower mean nocturnal SpO2. Non-specific ventilatory defect on PFTs was associated with increased odds of having a mean nocturnal SpO2 <92% compared to normal spirometry, and lung volumes (OR:2.15,95%CI:1.02-4.5,p=0.042) with adjustment for age, sex, BMI (body mass index).
Non-specific PFT pattern should prompt screening for sleep symptoms and considering a polysomnogram in subjects with obesity.
Breaking Boundaries: TINTO in POKY for Computer Vision-Based NMR Walking Strategies
Authors: Giraldo Andrea Estefania Lopez , Werner Zowie , Rahimi Mehdi , Lee Woonghee 
Published: May 2023

Abstract
Nuclear Magnetic Resonance is a crucial technique for studying biological complexes, as it provides precise structural and dynamic information at the atomic level. However, the process of assigning resonances can be time-consuming and challenging, particularly in cases where peaks overlap, or the data quality is poor. In this paper, we present TINTO (Two and three-dimensional Imaging for NMR sTrip Operation via CV/ML), an advanced semiautomatic toolset for NMR resonance assignment. TINTO comprises two separate tools, each tailored for either two-dimensional or three-dimensional imaging. The toolset utilizes a computer-vision approach and a machine learning approach, specifically Structural Similarity Index (SSIM) and Principal Components Analysis (PCA), to perform visual similarity searches of resonances and quickly locate similar strips, and in that way overcome the challenges associated with peak overlap without requiring peak picking. Our tool offers a user-friendly interface and has the potential to enhance the efficiency and accuracy of NMR resonance assignment, particularly in complex cases. This advancement holds promising implications for furthering our understanding of biological systems at the molecular level. TINTO is pre-installed in the POKY suite, which is available at https://poky.clas.ucdenver.edu.