bluuebunny/crossref_metadata_2025_split huggingface dataset:
Illuminating cellular architecture and dynamics with fluorescence polarization microscopy
Authors: Dean William F. , Mattheyses Alexa L. 
Published: October 2024

ABSTRACT
Ever since Robert Hooke's 17th century discovery of the cell using a humble compound microscope, light–matter interactions have continuously redefined our understanding of cell biology. Fluorescence microscopy has been particularly transformative and remains an indispensable tool for many cell biologists. The subcellular localization of biomolecules is now routinely visualized simply by manipulating the wavelength of light. Fluorescence polarization microscopy (FPM) extends these capabilities by exploiting another optical property – polarization – allowing researchers to measure not only the location of molecules, but also their organization or alignment within larger cellular structures. With only minor modifications to an existing fluorescence microscope, FPM can reveal the nanoscale architecture, orientational dynamics, conformational changes and interactions of fluorescently labeled molecules in their native cellular environments. Importantly, FPM excels at imaging systems that are challenging to study through traditional structural approaches, such as membranes, membrane proteins, cytoskeletal networks and large macromolecular complexes. In this Review, we discuss key discoveries enabled by FPM, compare and contrast the most common optical setups for FPM, and provide a theoretical and practical framework for researchers to apply this technique to their own research questions.
Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise
Authors: Chen Zenan , Chan Jason 
Published: October 2024

Since the launch of ChatGPT in December 2022, large language models (LLMs) have been rapidly adopted by businesses to assist users in a wide range of open-ended tasks, including creative work. Although the versatility of LLM has unlocked new ways of human-artificial intelligence collaboration, it remains uncertain how LLMs should be used to enhance business outcomes. To examine the effects of human-LLM collaboration on business outcomes, we conducted an experiment where we tasked expert and nonexpert users to write an ad copy with and without the assistance of LLMs. Here, we investigate and compare two ways of working with LLMs: (1) using LLMs as “ghostwriters,” which assume the main role of the content generation task, and (2) using LLMs as “sounding boards” to provide feedback on human-created content. We measure the quality of the ads using the number of clicks generated by the created ads on major social media platforms. Our results show that different collaboration modalities can result in very different outcomes for different user types. Using LLMs as sounding boards enhances the quality of the resultant ad copies for nonexperts. However, using LLMs as ghostwriters did not provide significant benefits and is, in fact, detrimental to expert users. We rely on textual analyses to understand the mechanisms, and we learned that using LLMs as ghostwriters produces an anchoring effect, which leads to lower-quality ads. On the other hand, using LLMs as sounding boards helped nonexperts achieve ad content with low semantic divergence to content produced by experts, thereby closing the gap between the two types of users. This paper was accepted by D. J. Wu, information systems. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03014 .
Short-term associations of diarrhoeal diseases in children with temperature and precipitation in seven low- and middle-income countries from Sub-Saharan Africa and South Asia in the Global Enteric Multicenter Study
Authors: Hossain Nasif , Madaniyazi Lina , Ng Chris Fook Sheng , Nasrin Dilruba , Seposo Xerxes Tesoro , Chua Paul L. C. , Pan Rui , Faruque Abu Syed Golam , Hashizume Masahiro 
Published: October 2024

Background
Diarrhoeal diseases cause a heavy burden in developing countries. Although studies have described the seasonality of diarrhoeal diseases, the association of weather variables with diarrhoeal diseases has not been well characterized in resource-limited settings where the burden remains high. We examined short-term associations between ambient temperature, precipitation and hospital visits due to diarrhoea among children in seven low- and middle-income countries.

Methodology
Hospital visits due to diarrhoeal diseases under 5 years old were collected from seven sites in The Gambia, Mali, Mozambique, Kenya, India, Bangladesh, and Pakistan via the Global Enteric Multicenter Study from December 2007 to March 2011. Daily weather data during the same period were downloaded from the ERA5-Land. We fitted time-series regression models to examine the relationships of daily diarrhoea cases with daily ambient temperature and precipitation. Then, we used meta-analytic tools to examine the heterogeneity between the site-specific estimates.

Principal findings
The cumulative relative risk (RR) of diarrhoea for temperature exposure (95th percentile vs. 1st percentile) ranged from 0.24 to 8.07, with Mozambique and Bangladesh showing positive associations, while Mali and Pakistan showed negative associations. The RR for precipitation (95th percentile vs. 1st percentile) ranged from 0.77 to 1.55, with Mali and India showing positive associations, while the only negative association was observed in Pakistan. Meta-analysis showed substantial heterogeneity in the association between temperature–diarrhoea and precipitation–diarrhoea across sites, with I2 of 84.2% and 67.5%, respectively.

Conclusions
Child diarrhoea and weather factors have diverse and complex associations across South Asia and Sub-Saharan Africa. Diarrhoeal surveillance system settings should be conceptualized based on the observed pattern of climate change in these locations.
The development of L. major, L. donovani and L. martiniquensis, Leishmania currently emerging in Europe, in the sand fly species Phlebotomus perniciosus and P. tobbi
Authors: Sadlova Jovana , Hoskova Anna , Vojtkova Barbora , Becvar Tomas , Volf Petr 
Published: October 2024

Background
Several new species of Leishmania have recently emerged in Europe, probably as the result of global changes and increased human migration from endemic areas. In this study, we tested whether two sand fly species, the Western Mediterranean Phlebotomus perniciosus and the Eastern Mediterranean P. tobbi, are competent vectors of L. donovani, L. major and L. martiniquensis.

Methodology/principal findings
Sand flies were infected through the chick skin membrane using Leishmania species and strains of various geographical origins. Leishmania infections were evaluated by light microscopy and qPCR, and the representation of morphological forms was assessed from Giemsa-stained gut smears. Neither P. perniciosus nor P. tobbi supported the development of L. martiniquensis, but L. major and L. donovani in both species survived defecation of blood meal remnants, colonized the stomodeal valve and produced metacyclic stages. The results with L donovani have shown that infection rates in sand flies can be strain-specific; therefore, to determine vector competence or refractoriness, it is optimal to test at least two strains of Leishmania.

Conclusions, significance
Both sand fly species tested are potential vectors of L. donovani and L. major in Mediterranean area. However, further studies will be needed to identify European vectors of L. martiniquensis and to test the ability of other European sand fly species to transmit L. major, L. donovani, L. tropica and L. infantum.
Elucidating the role of MLL1 nsSNPs: Structural and functional alterations and their contribution to leukemia development
Authors: Al-nakhle Hakeemah H. , Yagoub Hind S. , Alrehaili Rahaf Y. , Shaqroon Ola A. , Khan Minna K. , Alsharif Ghaidaa S. 
Published: October 2024

(1) Background
The Mixed lineage leukemia 1 (MLL1) gene, located on chromosome 11q23, plays a pivotal role in histone lysine-specific methylation and is consistently associated with various types of leukemia. Non-synonymous Single Nucleotide Polymorphisms (nsSNPs) have been tied to numerous diseases, including cancers, and have become valuable cancer biomarkers. There’s a notable gap in studies probing the influence of SNPs on MLL1 protein structure, function, and subsequent modifications;

(2) Methods
We utilized an array of bioinformatics tools, including PredictSNP, InterPro, ConSurf, I-Mutant2.0, MUpro, Musitedeep, Project HOPE, RegulomeDB, Mutpred2, and both CScape and CScape Somatic, to meticulously analyze the consequences of nsSNPs in the MLL1 gene;

(3) Results
Out of 2,097 nsSNPs analyzed, 62 were determined to be significantly pathogenic by the PredictSNP tool, with ten crucial MLL1 functional domains identified using InterPro. Additionally, 50 of these nsSNPs had high conservation scores, hinting at potential effects on protein structure and function, while 32 were found to undermine MLL1 protein stability. Notably, four nsSNPs were deemed oncogenic, with two identified as cancer drivers. The nsSNP, D2724G, between the MLL1 protein’s FY-rich domains, could disrupt proteolytic cleavage, altering gene expression patterns and potentially promoting cancer;

(4) Conclusions
Our research provides a comprehensive assessment of nsSNPs’ impact in the MLL1 protein structure and function and consequently on leukemia development, suggesting potential avenues for personalized treatment, early detection, improved prognosis, and a deeper understanding of hematological malignancy genesis.
Epidermal growth factor receptor (EGFR) and vascular endothelial growth factor A (VEGF-A) expressions in Ethiopian female breast cancer and their association with histopathologic features
Authors: Addisu Sisay , Bekele Abebe , Seifu Daniel , Assefa Mathewos , Gemechu Tufa , Hoenerhoff Mark J. , Merajver Sofia D. 
Published: October 2024

Background
Epidermal growth factor receptor (EGFR) and vascular endothelial growth factor receptor (VEGF) play important role in breast tumor growth, invasion, metastasis, patient survival and drug resistance. The aim of this study was to evaluate the protein expression status of EGFR and VEGF-A, as well as their association with hormone receptor status and histopathological characteristics in the invasive type of female breast cancer among Ethiopians.

Method
The primary breast tumor tissues were obtained from 85 Ethiopian invasive breast cancer cases that underwent modified radical mastectomy (MRM) from June 2014 to June 2015. Their FFPE blocks were analyzed for EGFR and VEGF protein expressions using immunohistochemical techniques. The expressions were also correlated with histopathologic features.

Result
Epidermal growth factor receptor over-expression was observed in 22% of the tumor samples. VEGF-A expression was negative in 13.41%, low in 63.41%, moderate in 20.73%, and high in 2.44%. EGFR expression, but not VEGF-A, showed a significant inverse correlation with both estrogen receptor (ER) (P = 0.01) and progesterone receptor (PR) statuses (P = 0.04). EGFR and VEGF expressions did not show significant association with tumor size, grade, lymph node status or age at diagnosis.

Conclusion
Epidermal growth factor receptor expression was most likely associated with ER and PR negative tumors. Assessments of multiple molecular markers aid to understand the biological behavior of the disease in Ethiopian population. It might also help to predict which group of patients might get more benefit from the selected treatment strategies and which are not.
Improving follow-up survey completion rates through pilot interventions in the All of Us Research Program: Results from a non-randomized intervention study
Authors: Cronin Robert M. , Feng Xiaoke , Able Ashley , Sutherland Scott , Givens Ben , Johnston Rebecca , Depry Charlene , Le Blanc Katrina W. , Caro Orlane , Mapes Brandy , Denny Josh , Couper Mick P. , Chen Qingxia , Prabhu Das Irene 
Published: October 2024

Objective
Retention to complete follow-up surveys in extensive longitudinal epidemiological cohort studies is vital yet challenging. All of Us developed pilot interventions to improve response rates for follow-up surveys.

Study design and setting
The pilot interventions occurred from April 27, 2020, to August 3, 2020. The three arms were: (1) telephone appointment [staff members calling participants offering appointments to complete surveys over phone] (2) postal [mail reminder to complete surveys through U.S. Postal Service], and (3) combination of telephone appointment and postal. Controls received digital-only reminders [program-level digital recontact via email or through the participant portal]. Study sites chose their study arm and participants were not randomized.

Results
A total of 50 sites piloted interventions with 17,593 participants, while 47,832 participants comprised controls during the same period. Of all participants, 6,828 (10.4%) completed any follow-up surveys (1448: telephone; 522: postal; 486: combination; 4372: controls). Follow-up survey completions were 24% higher in the telephone appointment arm than in controls in bivariate analyses. When controlling for confounders, telephone appointment and combination arms increased rates of completion similarly compared to controls, while the postal arm had no significant effect (odds ratio [95% Confidence Interval], telephone appointment:2.01[1.81–2.23]; combination:1.91[1.66–2.20]; postal:0.92[0.79–1.07]). Although the effects of the telephone appointment and combination arms were similar, differential effects were observed across sub-populations.

Conclusion
Telephone appointments appeared to be the most successful intervention in our study. Lessons learned about retention interventions, and improvement in follow-up survey completion rates provide generalizable knowledge for similar cohort studies and demonstrate the potential value of precision reminders and engagement with sub-populations of a cohort.
Understanding stakeholder perspectives on Apgar score, cyanosis and identifying jaundice in ethnic minority neonates
Authors: Fair Frankie , Furness Amy , Higginbottom Gina , Oddie Sam , Soltani Hora 
Published: October 2024

Objectives
To explore neonatal assessments that include an element of evaluating skin colour in neonates of black, Asian and minority ethnicities, focusing on the Apgar score, presence of cyanosis and presence of jaundice.

Design
We employed focused ethnography involving diverse healthcare professionals (HCPs) and parents or caregivers with Black, Asian, or ethnic minority children born in the last five years. Zoom interviews were performed following a semi-structured interview guide. Ethnographic data analysis was conducted using NVivo software.

Results
There was a lack of consistency in how HCPs applied the Apgar scores, which also varied from textbook guidelines. The use of pink as a skin colour descriptor for ethnic minority neonates created a divide among both parents and HCPs. HCPs relied more heavily on other elements of the Apgar score or infant breathing and crying at birth to gauge infant wellness. When identifying cyanosis, HCPs depend on specific body locations for accurate assessment of oxygenation, but the limitations of visual assessment are acknowledged. For jaundice, most HCPs recognised the difficulty in identifying the colour yellow in infants with darker skin tones. HCPs focussed on yellowing of the sclera and gums and other well-being assessments to detect jaundice. Some interviewed parents noticed jaundice in their infants before HCPs but felt they were not listened to when raising concerns. HCPs acknowledged the need for additional training to effectively assess the health of ethnic minority infants.

Conclusion
This study highlights disparities in neonatal health assessment from the perspectives of healthcare professionals and parents from diverse backgrounds. Varied practices in determining the Apgar score and recognising cyanosis and jaundice signal the need for standardised protocols, appropriate educational materials, and targeted training. Addressing these challenges is vital for equitable care, emphasising comprehensive training and bias mitigation efforts in maternal and neonatal healthcare.
Hesse-Matrix-basierte Qualitätsmanagementsysteme für die Fertigungsindustrie
Authors: Jieyang Peng , Dongkun Wang , Kimmig Andreas , Zhang Bin , Roux Armin , Ovtcharova Jivka 
Published: October 2024

Zusammenfassung
Die Qualitätssicherung ist ein überaus zentrales Thema in der Fertigungsindustrie, da sie unmittelbar mit der Produktqualität und der Kundenzufriedenheit zusammenhängt. Fortschritte in Algorithmen und modernen Kommunikationstechnologien im Kontext von Industrie 4.0 haben dazu beigetragen, dass traditionelle Fertigungsindustrien Deep-Learning-Modelle zur Kontrolle der Produktionsqualität einsetzen. Allerdings stellen industrielle Anwendungen hohe Anforderungen an die Effizienz von Algorithmen. Zudem fehlen in praktischen Anwendungen häufig umfangreiche, gelabelte Daten für das Training von Deep-Learning-Modellen. Um diesen Herausforderungen zu begegnen, haben wir in diesem Artikel ein auf maschinellem Lernen basierendes Modell zur Qualitätserkennung entwickelt. Unser Modell nutzt eine effizientere Hesse-Matrix-Erkennungsmethode, um direkt die lokalen Maxima im Skalenraum des Eingangsbildes zu identifizieren, ohne zahlreiche Gauss-Differenzbilder berechnen zu müssen. Darüber hinaus wenden wir Methoden der Bildverarbeitung an, um die Trainingsdaten zu erweitern, sodass das Modell auch bei geringen Trainingsdatenmengen eine hohe Genauigkeit erreicht. Unsere experimentellen Ergebnisse zeigen, dass das vorgeschlagene Modell die höchste Genauigkeit und Effizienz im Vergleich zu gängigen Methoden aufweist. Abschließend haben wir in diesem Artikel auch eine benutzerfreundliche Schnittstelle für unser Modell erstellt und dieses in das elektronische Kanban der Werkstatt integriert. Unsere empirischen Studien haben ergeben, dass die entwickelten Systeme in der industriellen Praxis anwendbar sind und die Fehlerquote senken sowie die Produktqualität erhöhen können.
Encyklopedisten August Strindberg. Fallet Svarta Fanor
Authors: Balbierz Jan 
Published: October 2024

Abstract
The article is devoted to the late prose of August Strindberg in the context of literary theories related to encyclopedic narratives and modern epic. I argue that Strindberg’s prose after the Inferno-crisis bears all the features of encyclopedic narratives: it has the ambition to sum up the scientific knowledge of the late 19th century, the narratives are formless, excessive, and full of digressions, their pursuit is mimetic completeness, and their form is both monstrous and hybrid. My thesis is illustrated by a close reading of the nine scientific chapters of the novel Black Banners from 1907.
Modeling of temperature deformations on the Dnister HPP dam (Ukraine)
Authors: Tretyak Kornyliy , Serant Oksana , Bisovetskyi Yurii 
Published: October 2024

Abstract
The extended operation of Ukrainian hydroelectric power plants has caused spatial deformations and aging of hydrostructures. This can lead to man-made disasters, especially after explosions resulting from missile attacks. As a result, various defects can appear in the concrete structures of the dam. Continuous structural monitoring of hydropower plants is essential to prevent man-made accidents. The research paper also demonstrates that changes in water temperature can affect the dam’s vertical and horizontal displacements. A model was developed and analysed to determine the spatial deformations of the Dnister HPP based on water temperature and distance from the dam’s edge. It was determined that horizontal displacement rates range from −2.2 to 2.7 mm/month, and vertical displacement rates range from −2 to 1.3 mm/month. They are also seasonal in nature. The studies conducted enable the prediction and identification of seasonal spatial deformations of the Dnister HPP dam. The research also helps to find their variations due to water temperature at the definite depth. If the temperature deformation model deviates from the measurement results, the structure in those areas should be more thoroughly inspected and analysed. This may indicate the structure’s weakening due to natural aging processes or construction-related deficiencies. Deformations in the dam’s structure can lead to cracks, compromising its stability and watertightness. Dams can vary in shape, design features, depth, volume, and water temperature. So, it is important to customize the displacement model for each dam. Any deviation from the specified model may suggest defects due to abnormal temperature distribution and spatial displacements.
Moment-Based Estimation of Linear Panel Data Models with Factor-Augmented Errors
Authors: Brown Nicholas L. 
Published: October 2024

Abstract
I compare two popular methods of estimation for linear panel data models with unobserved factors: the first eliminates the factors with a parameterized quasi-long-differencing (QLD) transformation. The other, referred to as common correlated effects (CCE), uses cross-sectional averages of the data to proxy for the factor space. I show that the CCE assumptions imply unused moment conditions that can be exploited by the QLD transformation. I also derive new linear estimators that weaken identifying assumptions and have desirable theoretical properties. Unlike CCE, these estimators do not require the number of covariates to be less than the number of time periods. I provide the first proof of a fixed-T consistent mean group estimator for heterogeneous linear models with interactive fixed effects. I investigate the effects of per-student expenditure on standardized test performance using data from the state of Michigan.
Evaluating fetal pulmonary vascular development in congenital heart disease: a comparative study using the McGoon index and multiple parameters of fetal echocardiography
Authors: Pan Chenke , Zhao Bowen , Luo Yunkai , Ying Bin , Zhang Yunyun 
Published: October 2024

Abstract

Objectives
The purpose of this study was to evaluate the value of MGI and multi-parameter in the assessment of different pulmonary circulation blood volumes in congenital heart disease.

Methods
This study included 350 fetuses categorized into two groups: Normal group consisted of 258 fetuses with no discernible abnormalities through echocardiography as control Group A; abnormal group with abnormal echocardiogram, including Group B of 71 fetuses with decreased pulmonary blood flow or pulmonary atresia and Group C of 21 fetuses with reduced or detached aortic blood flow.

Results
The MGI and Z-scores were measured and compared among these groups. Significant variations were noted in the aortic outflow Z-scores (AO-Zs) (p<0.01), pulmonary artery (PA) (p<0.01), PA Z-scores (PA-Zs) (p<0.01), PA/AO (p<0.01), right PA (p<0.01), and MGI (p<0.01) among the three groups (all p<0.05). Among fetuses with decreased pulmonary blood flow or pulmonary atresia, PA, PA-Zs, and MGI in fetuses with reverse DA flow perfusion were lower than those in the DA forward perfusion group.

Conclusions
Fetal echocardiography, incorporating the MGI and multi-parameter, not only allows for the evaluation of pulmonary blood flow and pulmonary vascular development of the fetus but also enables the observation of changes in pulmonary blood flow and MGI development across different gestational weeks.