bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining Rehabilitation Access Disparities: An Integrated Analysis of Electronic Health Record Data and Population Characteristics through Bivariate Choropleth Mapping
Authors: Pak Sang S , Ratoza Madeline , Cheuy Victor 
Published: October 2023

Abstract
Background
Despite efforts to view electronic health records (EHR) data through an equity lens, crucial contextual information regarding patients’ social environments remains limited. Integrating EHR data and Geographic Information Systems (GIS) technology can give deeper insights into the relationships between patients’ social environments, health outcomes, and geographic factors. This study aims to identify regions with the fastest and slowest access to outpatient physical therapy services using bivariate choropleth maps to provide contextual insights that may contribute to health disparity in access.
Methods
A retrospective cohort study of patients’ access timelines for the first visit to outpatient physical therapy services (n = 10363). The three timelines evaluated were (1) referral-to-scheduled appointment time, (2) scheduled appointment to first visit time, and (3) referral to first visit time. Hot and coldspot analyses (CI 95%) determined the fastest and slowest access times with patient-level characteristics and bivariate choropleth maps were developed to visualize associations between access patterns and disadvantaged areas using Area Deprivation Index scores. Data were collected between January 1, 2016 and January 1, 2020. EHR data were geocoded via GIS technology to calculate geospatial statistics (Gi∗ statistic from ArcGIS Pro) in an urban area.
Results
Statistically significant differences were found for all three access timelines between coldspot (i.e., fast access group) and hotspot (i.e., slow access group) comparisons (p < .05). The hotspot regions had higher deprivation scores; higher proportions of residents who were older, privately insured, female, lived further from clinics; and a higher proportion of Black patients with orthopaedic diagnoses compared to the coldspot regions.
Conclusions
Our study identified and described local areas with higher densities of patients that experienced longer access times to outpatient physical therapy services. Integration of EHR and GIS data is a more robust method to identify health disparities in access to care. With this approach, we can better understand the intricate interplay between social, economic, and environmental factors contributing to health disparities in access to care.
The Regulation of Plasma Gelsolin by Dna Methylation in Ovarian Cancer Chemo-resistance
Authors: Manzoor Hafiza Bushra , Asare-Werehene Meshach , Pereira Satyajit Dey , Satyamoorthy Kapaettu , Tsang Benjamin K. 
Published: October 2023

Abstract
Background: Ovarian cancer (OVCA) is the most lethal gynecologic cancer and chemoresistance remains a major hurdle to successful therapy and survival of OVCA patients. Plasma gelsolin (pGSN) is highly expressed in chemoresistant OVCA compared with their chemosensitive counterparts, although the mechanism underlying the differential expression is not known. Also, its overexpression significantly correlates with shortened survival of OVCA patients. In this study, we investigated the methylation role of Ten eleven translocation isoform-1 (TET1) in the regulation of differential pGSN expression and chemosensitivity in OVCA cells.
Methods: Chemosensitive and resistant OVCA cell lines of different histological subtypes were used in this study to measure pGSN and TET1 mRNA abundance (qPCR) as well as protein contents (Western blotting). To investigate the role of DNA methylation specifically in pGSN regulation and pGSN-induced chemoresistance, DNMTs and TETs were pharmacologically inhibited in sensitive and resistant OVCA cells using specific inhibitors. DNA methylation was quantified using EpiTYPER MassARRAY system. Gain-and-loss-of-function assays were used to investigate the relationship between TET1 and pGSN in OVCA chemoresponsiveness.
Results: We observed differential protein and mRNA expressions of pGSN and TET1 between sensitive and resistant OVCA cells and cisplatin reduced their expression in sensitive but not in resistant cells. We observed hypomethylation at pGSN promoter upstream region in resistant cells compared to sensitive cells. Pharmacological inhibition of DNMTs increased pGSN protein levels in sensitive OVCA cells and decreased their responsiveness to cisplatin, however we did not observe any difference in methylation level at pGSN promoter region. TETs inhibition resulted in hypermethylation at multiple CpG sites and decreased pGSN protein level in resistant OVCA cells which was also associated with enhanced response to cisplatin, findings that suggested the methylation role of TETs in the regulation of pGSN expression in OVCA cells. Further, we found that TET1 is inversely related to pGSN but positively related to chemoresponsiveness of OVCA cells.
Conclusion: Our findings broaden our knowledge about the epigenetic regulation of pGSN in OVCA chemoresistance and reveal a novel potential target to re-sensitize resistant OVCA cells. This may provide a future therapeutic strategy to improve the overall OVCA patient survival.
A novel detection method based on MIRA-CRISPR/Cas13a-LFD targeting the repeated DNA sequence of Trichomonas vaginalis
Authors: Yang Zhenke , Wang Jinghui , Qi Yiming , Shi Yiping , Li Fakun , Wang Weijuan , Tian Xiaowei , Mei Xuefang , Zhang Zhenchao , Wang Shuai 
Published: October 2023

Abstract
Trichomonas vaginalis (T. vaginalis) is a protozoan parasite that is widely recognized as the most prevalent non-viral sexually transmitted infection (STI) worldwide. This infection is associated with various complications such as pelvic inflammatory disease, adverse pregnancy outcomes, and an increased risk of acquiring HIV. Existing molecular detection methods for T. vaginalis are often expensive or technically challenging. In this study, we developed a novel detection method based on MIRA-CRISPR/Cas13a-LFD, targeting the repeated DNA sequence (Genebank: L23861.1) of T. vaginalis. The MIRA-CRISPR/Cas13a-LFD assay was performed at a constant temperature of 37℃ for approximately 1 hour, and the results were visualized and determined using lateral flow device (LFD). The detection limit of gDNA was 1×10-4 ng/μl by our developed protocol, and no cross-reaction occurred either with the gDNA of Staphylococcus aureus, Lactobacillus taiwanensis, Escherichia coli, Monilia albicans, Giardia lamblia, and Toxoplasma gondii. Among the 30 clinical samples tested, the positive rates of T. vaginalis detection were 33.33% (10/30) by wet mount microscopy, 40% (12/30) by nested PCR, 40% (12/30) by MIRA-CRISPR/Cas13a-LFD, and 40% (12/30) by culture method. When compared to the culture method, which served as the gold standard for diagnosing trichomoniasis, wet mount microscopy demonstrated a sensitivity of 83.3% and moderate diagnostic agreement (Kappa value = 0.87). In contrast, both nested PCR and MIRA-CRISPR/Cas13a-LFD exhibited 100% sensitivity and excellent diagnostic agreement (Kappa value = 1). These results demonstrate that the MIRA-CRISPR/Cas13a-LFD method is a convenient, rapid, stable, and accurate diagnostic tool for T. vaginalis detection, which can enhance the diagnosis and management of vaginitis.
Harnessing DNA Tetrahedral Nanoparticles: A Novel Strategy for Co- delivery of OTUD6B siRNA and DOX Against TNBC Growth and Progression
Authors: Zhang Wenxiang , Yang Xue , Gao Ran , Kong Xiangyi , Wang Xiangyu , Liu Qiang , Qu Zheng , Zhang Xingsong , Wang Jing , Chen Zhengju , Fang Yi 
Published: October 2023

Abstract
Background
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer lacking specific targeted therapeutic options. The deubiquitinizing enzyme OTUD6B is emerging as a potential player in TNBC progression.
Objective
The study aimed to ascertain the role of OTUD6B in TNBC progression and to exploit its therapeutic potential using a novel delivery system.
Methods
OTUD6B expression in TNBC was studied in relation to patient survival outcomes. We explored the potential of OTUD6B siRNA for TNBC treatment and its combined delivery with the chemotherapeutic agent, DOX, using a synthesized DNA tetrahedral nanoparticle (Td). The uptake and efficacy of the siOTUD6B/DOX@Td combination in TNBC cells were then evaluated, alongside an investigation into the underlying molecular mechanisms.
Results
There was a significant upregulation of OTUD6B in TNBC, inversely correlated with patient survival. The siOTUD6B/DOX@Td composite demonstrated efficient cellular uptake by TNBC cells, leading to the gene silencing of OTUD6B and controlled DOX release. This dual treatment approach enhanced apoptosis rates, increased DOX sensitivity, and inhibited TNBC cell growth, migration, and metastasis. In vivo results further confirmed the inhibition of tumor growth and metastasis without harming primary organs. Mechanistically, OTUD6B influenced TNBC progression through MDM2 stabilization and FOXO3 degradation.
Conclusion
Our findings highlight the pivotal role of OTUD6B in TNBC progression and underscore the potential of DNA tetrahedral nanoparticles as drug delivery systems. The combined siOTUD6B/DOX@Td strategy offers a promising therapeutic approach for TNBC and demonstrates the broader applicability of DNA nanotechnology in biomedicine.
Net Costs of Breast Cancer in Colombia: A Cost-of- Illness Study Based on Administrative Claims Databases
Authors: Torres Gabriel Fernando , Alarcón Brigitte Alejandra , Reyes-Sanchez Juan Manuel , Castaño-Gamboa Natalia , Buitrago Giancarlo 
Published: October 2023

Abstract
Background
Breast Cancer (BC) is associated with substantial costs of healthcare; however, real-world data regarding these costs in Colombia is scarce. The contributory regime provides healthcare services to formal workers and their dependents and covers almost half of the population in Colombia. This study aims to describe the net costs of healthcare in women with BC covered by the contributory regime in Colombia in 2019 from the perspective of the Colombian Health System.
Method
The main data source was the Capitation Sufficiency Database, an administrative database that contains patient-level data on consumption of services included in the National Formulary (PBS, in Spanish Plan de Beneficios en Salud). Data on consumption of services not included in the PBS (non-PBS) were calculated using aggregated data from MIPRES database. All direct costs incurred by prevalent cases of BC, from January 1 to December 31, 2019, were included in the analysis. The net costs of the disease were estimated by multiplying the marginal cost and the expected number of cases with BC by region and age group. Marginal costs were defined as the costs of services delivered to patients with BC after subtracting the expected costs of health services due to age, comorbidity burden or region of residence. To calculate these costs, we used Propensity Score Matching in the main analysis. All costs were expressed in 2019 international dollars. Productivity losses, transportation expenses, and caregiving costs were not included.
Results
A total of 46,148 patients with BC were identified. Total net costs were $392.7 million (95% CI $386.4 to $404.9 million) 60% associated with non-PBS services. Marginal costs were $8,507 (95% Confidence Interval $8,305 to $8,708), with substantial variations between regions age groups (from $4,509 for older patients in the Amazonia region to $12,646 for younger patients in the Pacific region). The costs for PBS services were higher for ambulatory services and for patients who died during 2020.
Conclusions
BC imposes a substantial economic burden for the Colombian Health System with important variations in net costs between regions and age groups. Patients near death and ambulatory services were associated with higher costs of healthcare.
Four ways of implementing robustness quantification in strain characterisation
Authors: Pianale Luca Torello , Caputo Fabio , Olsson Lisbeth 
Published: October 2023

Abstract
Background.
In industrial bioprocesses, microorganisms are generally selected based on performance; whereas robustness, i.e. the ability of a system to maintain a stable performance, has been overlooked due to the challenges in its quantification and implementation into routine experimental procedures. This work presents four ways of implementing robustness quantification during strain characterisation. One Saccharomyces cerevisiae laboratory strain (CEN.PK113-7D) and two industrial strains (Ethanol Red and PE2) grown in seven different lignocellulosic hydrolysates were assessed for growth-related functions (specific growth rate, product yields, etc.) and eight intracellular parameters (using fluorescent biosensors).
Results.
Using flasks and high-throughput experimental setups, robustness was quantified in relation to: (i) stability of growth functions in response to the seven hydrolysates; (ii) stability of growth functions across different strains to establish the impact of perturbations on yeast metabolism; (iii) stability of intracellular parameters over time; (iv) stability of intracellular parameters within a cell population to indirectly quantify population heterogeneity. Ethanol Red was the best-performing strain under all tested conditions, achieving the highest growth function robustness. PE2 displayed the highest population heterogeneity. Moreover, the intracellular environment varied in response to non-woody or woody lignocellulosic hydrolysates, manifesting increased oxidative stress and unfolded protein response, respectively.
Conclusions.
Robustness quantification is a powerful tool for strain characterisation as it offers novel information on physiological and biochemical parameters. Owing to the flexibility of the robustness quantification method, its implementation was successfully validated at single-cell as well as high-throughput levels, showcasing its versatility and potential for several applications.
Heterogeneous Graph Fully-Connected Attention Network
Authors: wang rui , Xie Cheng , Duan HaoRan , Wan XinHao 
Published: October 2023

Abstract
With the increasing popularity of graph structures, Graph embedding, Which aims to project nodes into low dimensional space while preserving the topological structure information of graph and the information of nodes themselves, has attracted an increased amount of attention in recent years. Most embedding methods based on heterogeneous graphs use meta-path guided random walks to capture the semantic and structural correlations between different types of nodes in the graph. However, current meta-path schemes only convert heterogeneous graphs into isomorphic graphs for processing, which ignores intermediate node information and cannot measure the importance of the meta-path to the target node, resulting in incomplete information. Moreover, when aggregating relevant node features, Only simple weighted summation is performed on the information of nodes, without considering the deeper and more complex relationships between adjacent nodes. In order to solve the above two problems, in this paper, we propose the HGFAN model, which uses the relational adjacency matrix to generate meta-paths of different lengths and evaluates the importance of the meta-path, then aggregates the information of the meta-path layer by layer, and finally uses full connection Attention captures deeper and more complex relationships between node features. Extensive experiments on three real datasets have shown that our proposed model achieves state-of-the-art performance, further proving that the HGFAN model can obtain higher quality node representations by aggregating meta-path information of different lengths layer by layer and mining more complex relationships between nodes.
International multicenter real-world REGistry for patients with metastatic renAL cell carcinoma – Meet-URO 33 study (REGAL study)
Authors: Rebuzzi Sara Elena , Fornarini Giuseppe , Signori Alessio , Buti Sebastiano , Procopio Giuseppe , De Giorgi Ugo , Pignata Sandro , Naglieri Emanuele , Maruzzo Marco , Banna Giuseppe Luigi , Rescigno Pasquale , Messina Carlo , Mattana Alvise , Basso Umberto , Bimbatti Davide 
Published: October 2023

Abstract
Background: Nowadays, different therapeutic options are available for the first-line treatment of metastatic renal cell carcinoma (mRCC). Immuno-combinations are the standard first-line therapy in all mRCC patients regardless of the International Metastatic RCC Database Consortium (IMDC) risk category, even though TKI monotherapy is still a therapeutic option in selected patients. However, comparisons between the different first-line treatment strategies are lacking and few real-world data are available in this setting. For this reason, the regimen choice represents an important issue in clinical practice and the optimal treatment sequence remains unclear.
Methods: The REGAL study is a multicentric prospective observational study enrolling mRCC patients treated with first-line systemic therapy according to clinical practice in a real-world setting. A retrospective cohort of mRCC patients who received first-line systemic therapy from the 1st of January 2021 will also be included. The primary objective is to identify potential prognostic and predictive factors that could help guide the treatment choice; secondary objectives included the assessment of the prognostic performance of the Meet-URO score compared with the IMDC score and the comparison between treatment strategies according to response and survival outcomes and toxicity profile.
Discussion: Considering the high number of therapeutic first-line strategies available for mRCC, the identification of clinical prognostic and predictive factors to candidate patients to a preferable systemic therapy is still an unmet clinical need. The Meet-URO 33 study aims to provide a large-scale real-world database on mRCC patients, to identify the clinical predictive and prognostic factors and the different performances between the ICI-based combinations according to response, survival and toxicity.
Trial Registration: CESC IOV 2023-78.
Poetische Schreibkompetenz fördern. Versuch einer Kartierung.
Authors: Mangel Mischa 
Published: October 2023

Der Bericht liefert einen Überblick über empirische Studien zum literarischen Schreiben im Erstsprachenunterricht. Ausgewertet wurden 61 peer-reviewte Beiträge. Mit Blick auf zentrale Parameter (u. a. methodisches Vorgehen, Klassenstufe, Teilnehmende, Textsorte, Förderansatz) zeigt sich ein breites Spektrum. Die Studien des Auswertungskorpus weisen dabei besonders häufig die folgenden Merkmale auf: (1) quantitative Ausrichtung, (2) Verortung in der Primar- bzw. frühen Sekundarstufe I, (3) Teilnahme von bis zu fünfzig Schüler:innen (4) ohne inklusionspädagogischen Bezug, (5) Untersuchung erzählenden Schreibens im Rahmen von (6) Schreibstrategieinstruktion, der Vermittlung von Textmusterwissen oder der Entlastung des Schreibprozesses.
Zur Modellierung und Analyse von Lehr-Lerndialogen über das Schriftsystem
Authors: Weinhold Swantje , Jagemann Sarah , Bormann Franziska 
Published: October 2023

Im basalen Lese- und Rechtschreibunterricht sind Lehr-Lerndialoge, in denen gesprochene und geschriebene Wortformen in ihrem Verhältnis zueinander analysiert werden müssen, alltäglich. Lehrpersonen und Lernende handeln diesen Lerngegenstand mittels gesprochener und geschriebener Sprache als Lernmedium aus. Damit diese Aushandlungsprozesse gelingen können, müssen die Interaktanten eine schriftsystembezogene Denksprache finden und etablieren.
Im Projekt Ko-Konstruktionen über das Schriftsystem (KoKonS) widmen wir uns der Frage, wie solche Lehr-Lerndialoge fachlich und diskursiv gestaltet sind und welche (fach-)sprachlichen Formen für die Verständigungs- und Verstehensprozesse genutzt werden. Ausgehend von den Anforderungen, die die Interaktanten bewältigen müssen, schlagen wir in diesem Beitrag ein Modell zur Analyse von Aushandlungsprozessen über das Schriftsystem (MAAuS) vor. Entlang der Dimensionen Lerngegenstand, Lernmedium und Lernmaterialien werden einzelne Handlungskomponenten systematisiert und detailliert vorgestellt. Anhand der exemplarischen Analyse einer Unterrichtssequenz zeigen wir die Komplexität des Forschungsgegenstands und den Nutzen des kategorialen, qualitativen Analysemodells.
The effect of post-packaging pasteurization on physicochemical and microbial properties of beef ham
Authors: Azizpour Nasim , Razavi Seyed Hadi , Azizpour Mehran , Khazaei Poul Esmaeil 
Published: October 2023

In this study, we aimed to investigate the impact of three different post-packaging pasteurization temperatures (55, 65, and 75°C) on the physicochemical (pH, drip loss, texture profile, and color), microbial (lactic acid bacteria, mesophilic and psychrotrophic bacteria, as well as mold and yeast), and sensory (odor, taste, texture, color, slime, exudates, swelling, and overall acceptability) characteristics of vacuum-packed beef ham during 30 days of storage at two different temperatures (5 and 12°C).
Lactic acid bacteria and total mesophilic and psychrotrophic counts were reduced to zero by post-packaging pasteurization at 65 and 75°C. Higher post-packaging pasteurization temperatures resulted in a significant increase in drip loss in the treated samples at 65 and 75°C, as well as a small rise in pH in all the samples. Furthermore, higher post-packaging pasteurization temperatures decreased lightness, yellowness, and h° values while increasing redness and ΔE. During post-packaging pasteurization, Chroma remained constant. The textural profile analysis revealed that post-packaging pasteurization and storage had a significant impact on the texture of beef ham. The sensory analysis showed no changes after post-packaging pasteurization in the samples, and the sensory parameters remained stable during their storage at 65 and 75 °C.
Finally, our investigation showed that 65°C is an optimal post-packaging pasteurization temperature for increasing the shelf-life of beef ham under refrigeration.
Hospital waste incinerator ash: characteristics, treatment techniques, and applications (A review)
Authors: El-Amaireh Nuseibah Abd Alhameed , Al-Zoubi Habis , Al-Khashman Omar Ali 
Published: October 2023

Abstract

The amount of medical waste generated has increased enormously since the COVID-19 outbreak. An incineration process is the main method that is usually used to treat this waste, causing an increase in both medical waste bottom ash (MWBA) and medical waste fly ash (MWFA). In this work, the physical and chemical characteristics of MWFA and MWBA were reviewed. This ash contains high levels of polychlorinated dibenzo-p-dioxin (PCDD), dibenzofurans (PCDFs), and heavy metals. Furthermore, medical waste ash appears to have high leachability in the toxicity characteristics leaching procedure (TCLP) test and the European standard test (EN 12457). Owing to its toxicity, medical ash can be treated using various methods prior to disposal based on the covered review. These techniques include chemical, supercritical fluid, cement-based, melting, microwave, and mechanochemical techniques. The shortcomings of some of these treatment methods have been identified, such as the emission of high levels of chlorine from the melting technique, limited applications of the flotation method on the industrial scale, long-term stability of leachate treated by cement-based methods that have not been confirmed yet, and high energy consumption in the supercritical technique. This review also covers possible applications of medical waste ash in cement production, agriculture, and road construction.