bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adrenal insufficiency after curative-intent gastric cancer treatment: a case report
Authors: Åkerström Johan Hardvik , Radkiewicz Cecilia 
Published: April 2023

Abstract
Background
Adrenal insufficiency is a life-threatening condition, and advanced gastric cancer is associated with very poor prognosis. Adrenalectomy and/or metastatic invasion of the adrenal glands can cause primary adrenal insufficiency, which in turn can present with symptoms mimicking advanced cancer.

Case presentation
Herein we report of a 68-year-old White male with a history of left adrenalectomy in conjunction with distal gastrectomy due to gastric adenocarcinoma. At the 2-year follow-up visit after cancer surgery, the patient presented with fatigue, unintentional weight loss, hyperkalemia, and a computed tomography scan with a right adrenal mass. Primary adrenal insufficiency caused by gastric cancer metastatic invasion of the remaining right adrenal gland was established and glucocorticoid therapy initiated. The patient received first line palliative chemotherapy with systemic disease control and subsequent stereotactic body radiotherapy to the right adrenal gland. More than 17 months after pathology-confirmed gastric cancer relapse, there is no clinical nor radiological evidence of active malignant disease and the patient is doing well on glucocorticoid replacement therapy.

Conclusions
This case does not only illustrate the importance of prompt and correct clinical management of adrenal insufficiency, but also that selected patients with advanced gastric cancer can gain from and achieve long-term survival using a multimodal treatment approach.
MicroRNAs-mediated regulation of the differentiation of dental pulp-derived mesenchymal stem cells: a systematic review and bioinformatic analysis
Authors: Iranmanesh Pedram , Vedaei Amirhossein , Salehi-Mazandarani Sadra , Nikpour Parvaneh , Khazaei Saber , Khademi Abbasali , Galler Kerstin M. , Nekoofar Mohammad-Hossein , Dummer Paul M. H. 
Published: April 2023

AbstractBackgroundHuman dental pulp-derived mesenchymal stem cells (hDP-MSCs), which include human dental pulp stem cells (hDPSCs) and stem cells from human exfoliated deciduous teeth (SHEDs), are promising cell sources for regenerative therapies. Nevertheless, a lack of knowledge relating to the mechanisms regulating their differentiation has limited their clinical application. microRNAs (miRNAs) are important regulatory molecules in cellular processes including cell differentiation. This systematic review aims to provide a panel of miRNAs that regulate the differentiation of hDP-MSCs including hDPSCs and SHEDs. Additionally, bioinformatic analyses were conducted to discover target genes, signaling pathways and gene ontologies associated with the identified miRNAs.MethodsA literature search was performed in MEDLINE (via PubMed), Web of Science, Scopus, Embase and Cochrane Library. Experimental studies assessing the promotive/suppressive effect of miRNAs on the differentiation of hDP-MSCs and studies evaluating changes to the expression of miRNAs during the differentiation of hDP-MSCs were included. miRNAs involved in odontogenic/osteogenic differentiation were then included in a bioinformatic analysis. A miRNA-mRNA network was constructed, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed. A protein–protein interaction (PPI) network was also constructed.ResultsOf 766 initially identified records through database searching, 42 and 36 studies were included in qualitative synthesis and bioinformatic analyses, respectively. Thirteen miRNAs promoted and 17 suppressed odontogenic/osteogenic differentiation of hDP-MSCs. hsa-miR-140-5p, hsa-miR-218 and hsa-miR-143 were more frequently reported suppressing the odontogenic/osteogenic differentiation of hDP-MSCs. hsa-miR-221 and hsa-miR-124 promoted and hsa-miR-140-5p inhibited neuronal differentiation, hsa-miR-26a-5p promoted and hsa-miR-424 suppressed angiogenic differentiation, and hsa-miR-135 and hsa-miR-143 inhibited differentiation within myogenic lineages. A miRNA-mRNA network including 1890 nodes and 2171 edges was constructed. KEGG pathway analysis revealed MAPK, PI3K-Akt and FoxO as key signaling pathways involved in the odontogenic/osteogenic differentiation of hDP-MSCs.ConclusionsThe findings of this systematic review support the potential application of the specific miRNAs to regulate the directed differentiation of hDP-MSCs in the field of regenerative therapies.
The positive impact of COVID-19 on critical care: from unprecedented challenges to transformative changes, from the perspective of young intensivists
Authors: Hermann Bertrand , Benghanem Sarah , Jouan Youenn , Lafarge Antoine , Beurton Alexandra ,   the ICU French FOXES (Federation Of eXtremely Enthusiastic Scientists) Study Group
Published: April 2023

AbstractOver the past 2 years, SARS-CoV-2 infection has resulted in numerous hospitalizations and deaths worldwide. As young intensivists, we have been at the forefront of the fight against the COVID-19 pandemic and it has been an intense learning experience affecting all aspects of our specialty. Critical care was put forward as a priority and managed to adapt to the influx of patients and the growing demand for beds, financial and material resources, thereby highlighting its flexibility and central role in the healthcare system. Intensivists assumed an essential and unprecedented role in public life, which was important when claiming for indispensable material and human investments. Physicians and researchers around the world worked hand-in-hand to advance research and better manage this disease by integrating a rapidly growing body of evidence into guidelines. Our daily ethical practices and communication with families were challenged by the massive influx of patients and restricted visitation policies, forcing us to improve our collaboration with other specialties and innovate with new communication channels. However, the picture was not all bright, and some of these achievements are already fading over time despite the ongoing pandemic and hospital crisis. In addition, the pandemic has demonstrated the need to improve the working conditions and well-being of critical care workers to cope with the current shortage of human resources. Despite the gloomy atmosphere, we remain optimistic. In this ten-key points review, we outline our vision on how to capitalize on the lasting impact of the pandemic to face future challenges and foster transformative changes of critical care for the better.
Blow-up criteria of the simplified Ericksen–Leslie system
Authors: Chen Zhengmao , Wu Fan 
Published: April 2023

AbstractIn this paper, we establish scaling invariant blow-up criteria for a classical solution to the simplified Ericksen–Leslie system in terms of the positive part of the second eigenvalue of the strain matrix and orientation field in mixed-norm Lebesgue spaces. Our result may be also regarded as an extension or improvement of the corresponding results obatined by Neustupa and Penel (Trends in Partial Differential Equations of Mathematical Physics, pp. 197–212, 2005), Miller (Arch. Ration. Mech. Anal. 235(1):99–139, 2020) and Huang and Wang (Commun. Partial Differ. Equ. 37(5):875–884, 2012).
Socio-economic factors affecting women’s entrepreneurial performance in MSEs in Bahir Dar City, Ethiopia
Authors: Ayinaddis Samuel Godadaw 
Published: April 2023

AbstractWomen’s entrepreneurship is the pillar of economic expansion in many developing countries and is increasingly recognized as an essential driver of economic growth, productivity, innovation, employment, and economic dynamism. This study aimed to investigate the socio-economic factors that affect women’s entrepreneurial performance in MSEs in Bahir Dar City, Ethiopia. This study employed explanatory and descriptive survey designs using a quantitative research approach. The data were gathered from a survey of 348 registered women-owned MSEs. Statistical models, including factor analysis, correlation, and regression analysis, were used to look for patterns and relationships between variables apart from other descriptive statistics. Based on the statistical analysis, the variables social, economic, and legal and administrative factors have a positive relationship with women’s entrepreneurial performance in MSEs. On the other hand, demographic factors are found to be insignificant variables in predicting women’s entrepreneurial performance in MSEs. Therefore, the research recommends improvements in social and economic development to facilitate the successful performance of women entrepreneurs in MSEs in Bahir Dar city, Ethiopia.
Cryptosporidiosis threat under climate change in China: prediction and validation of habitat suitability and outbreak risk for human-derived Cryptosporidium based on ecological niche models
Authors: Wang Xu , Jiang Yanyan , Wu Weiping , He Xiaozhou , Wang Zhenghuan , Guan Yayi , Xu Ning , Chen Qilu , Shen Yujuan , Cao Jianping 
Published: April 2023

Abstract
Background
Cryptosporidiosis is a zoonotic intestinal infectious disease caused by Cryptosporidium spp., and its transmission is highly influenced by climate factors. In the present study, the potential spatial distribution of Cryptosporidium in China was predicted based on ecological niche models for cryptosporidiosis epidemic risk warning and prevention and control.

Methods
The applicability of existing Cryptosporidium presence points in ENM analysis was investigated based on data from monitoring sites in 2011–2019. Cryptosporidium occurrence data for China and neighboring countries were extracted and used to construct the ENMs, namely Maxent, Bioclim, Domain, and Garp. Models were evaluated based on Receiver Operating Characteristic curve, Kappa, and True Skill Statistic coefficients. The best model was constructed using Cryptosporidium data and climate variables during 1986‒2010, and used to analyze the effects of climate factors on Cryptosporidium distribution. The climate variables for the period 2011‒2100 were projected to the simulation results to predict the ecological adaptability and potential distribution of Cryptosporidium in future in China.

Results
The Maxent model (AUC = 0.95, maximum Kappa = 0.91, maximum TSS = 1.00) fit better than the other three models and was thus considered the best ENM for predicting Cryptosporidium habitat suitability. The major suitable habitats for human-derived Cryptosporidium in China were located in some high-population density areas, especially in the middle and lower reaches of the Yangtze River, the lower reaches of the Yellow River, and the Huai and the Pearl River Basins (cloglog value of habitat suitability > 0.9). Under future climate change, non-suitable habitats for Cryptosporidium will shrink, while highly suitable habitats will expand significantly (χ2 = 76.641, P < 0.01; χ2 = 86.836, P < 0.01), and the main changes will likely be concentrated in the northeastern, southwestern, and northwestern regions.

Conclusions
The Maxent model is applicable in prediction of Cryptosporidium habitat suitability and can achieve excellent simulation results. These results suggest a current high risk of transmission and significant pressure for cryptosporidiosis prevention and control in China. Against a future climate change background, Cryptosporidium may gain more suitable habitats within China. Constructing a national surveillance network could facilitate further elucidation of the epidemiological trends and transmission patterns of cryptosporidiosis, and mitigate the associated epidemic and outbreak risks.

Graphical Abstract
Evaluating classifier performance with highly imbalanced Big Data
Authors: Hancock John T. , Khoshgoftaar Taghi M. , Johnson Justin M. 
Published: April 2023

AbstractUsing the wrong metrics to gauge classification of highly imbalanced Big Data may hide important information in experimental results. However, we find that analysis of metrics for performance evaluation and what they can hide or reveal is rarely covered in related works. Therefore, we address that gap by analyzing multiple popular performance metrics on three Big Data classification tasks. To the best of our knowledge, we are the first to utilize three new Medicare insurance claims datasets which became publicly available in 2021. These datasets are all highly imbalanced. Furthermore, the datasets are comprised of completely different data. We evaluate the performance of five ensemble learners in the Machine Learning task of Medicare fraud detection. Random Undersampling (RUS) is applied to induce five class ratios. The classifiers are evaluated with both the Area Under the Receiver Operating Characteristic Curve (AUC), and Area Under the Precision Recall Curve (AUPRC) metrics. We show that AUPRC provides a better insight into classification performance. Our findings reveal that the AUC metric hides the performance impact of RUS. However, classification results in terms of AUPRC show RUS has a detrimental effect. We show that, for highly imbalanced Big Data, the AUC metric fails to capture information about precision scores and false positive counts that the AUPRC metric reveals. Our contribution is to show AUPRC is a more effective metric for evaluating the performance of classifiers when working with highly imbalanced Big Data.
Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer
Authors: Kahhale Isabella , Buser Nicholas J. , Madan Christopher R. , Hanson Jamie L. 
Published: April 2023

AbstractOn-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in scale with hundreds, even thousands, of individual participants and scans collected, quantification of brain structures by automated algorithms is becoming the only truly tractable approach. Here, we assessed the spatial and numerical reliability for newly deployed automated segmentation of hippocampal subfields and amygdala nuclei in FreeSurfer 7. In a sample of participants with repeated structural imaging scans (N = 928), we found numerical reliability (as assessed by intraclass correlations, ICCs) was reasonable. Approximately 95% of hippocampal subfields had “excellent” numerical reliability (ICCs ≥ 0.90), while only 67% of amygdala subnuclei met this same threshold. In terms of spatial reliability, 58% of hippocampal subfields and 44% of amygdala subnuclei had Dice coefficients ≥ 0.70. Notably, multiple regions had poor numerical and/or spatial reliability. We also examined correlations between spatial reliability and person-level factors (e.g., participant age; T1 image quality). Both sex and image scan quality were related to variations in spatial reliability metrics. Examined collectively, our work suggests caution should be exercised for a few hippocampal subfields and amygdala nuclei with more variable reliability.
Graphical Abstract
Nitrogen transformation processes catalyzed by manure microbiomes in earthen pit and concrete storages on commercial dairy farms
Authors: Khairunisa Bela Haifa , Loganathan Usha , Ogejo Jactone A. , Mukhopadhyay Biswarup 
Published: April 2023

AbstractStoring manure is an essential aspect of nutrient management on dairy farms. It presents the opportunity to use manure efficiently as a fertilizer in crop and pasture production. Typically, the manure storages are constructed as earthen, concrete, or steel-based structures. However, storing manure can potentially emit aerial pollutants to the atmosphere, including nitrogen and greenhouse gases, through microbial and physicochemical processes. We have characterized the composition of the microbiome in two manure storage structures, a clay-lined earthen pit and an aboveground concrete storage tank, on commercial dairy farms, to discern the nitrogen transformation processes, and thereby, inform the development of mitigation practices to preserve the value of manure. First, we analyzed the 16S rRNA-V4 amplicons generated from manure samples collected from several locations and depths (0.3, 1.2, and 2.1–2.75 m below the surface) of the storages, identifying a set of Amplicon Sequence Variant (ASVs) and quantifying their abundances. Then, we inferred the respective metabolic capabilities. These results showed that the manure microbiome composition was more complex and exhibited more location-to-location variation in the earthen pit than in the concrete tank. Further, the inlet and a location with hard surface crust in the earthen pit had unique consortia. The microbiomes in both storages had the potential to generate ammonia but lacked the organisms for oxidizing it to gaseous compounds. However, the microbial conversion of nitrate to gaseous N2, NO, and N2O via denitrification and to stable ammonia via dissimilatory nitrite reduction seemed possible; minor quantities of nitrate was present in manure, potentially originating from oxidative processes occurring on the barn floor. The nitrate-transformation linked ASVs were more prevalent at the near-surface locations and all depths of the inlet. Anammox bacteria and archaeal or bacterial autotrophic nitrifiers were not detected in either storage. HydrogenotrophicMethanocorpusculumspecies were the primary methanogens or methane producers, exhibiting higher abundance in the earthen pit. These findings suggested that microbial activities were not the main drivers for nitrogen loss from manure storage, and commonly reported losses are associated with the physicochemical processes. Finally, the microbiomes of stored manure had the potential to emit greenhouse gases such as NO, N2O, and methane.
Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language
Authors: Martinez-Blasco Monica , Serrano Vanessa , Prior Francesc , Cuadros Jordi 
Published: April 2023

AbstractThe current financial education framework has an increasing need to introduce tools that facilitate the application of theoretical models to real-world data and contexts. However, only a limited number of free tools are available for this purpose. Given this lack of tools, the present study provides two approaches to facilitate the implementation of an event study. The first approach consists of a set of MS Excel files based on the Fama–French five-factor model, which allows the application of the event study methodology in a semi-automatic manner. The second approach is an open-source R-programmed tool through which results can be obtained in the context of an event study without the need for programming knowledge. This tool widens the calculus possibilities provided by the first approach and offers the option to apply not only the Fama–French five-factor model but also other models that are common in the financial literature. It is a user-friendly tool that enables reproducibility of the analysis and ensures that the calculations are free of manipulation errors. Both approaches are freely available and ready-to-use.
The H2TH-like motif of the Escherichia coli multifunctional protein KsgA is required for DNA binding involved in DNA repair and the suppression of mutation frequencies
Authors: Hayashi Yuichiro , Funakoshi Masafumi , Hirosawa Kaname , Zhang-Akiyama Qiu-Mei 
Published: April 2023

Abstract
Background
DNA oxidatively damaged by reactive oxygen species is repaired by base excision repair (BER) pathway proteins, with DNA glycosylases removing damaged or mismatched bases in the first step of BER. KsgA is a multifunctional protein that exhibits the activities of two enzymes, DNA glycosylase and rRNA dimethyltransferase. The structure-function relationship of the KsgA protein in cellular DNA repair remains unclear because the domains required for KsgA to recognize DNA have not been identified.

Purpose
To clarify the mechanisms by which KsgA recognizes damaged DNA and to identify the DNA-binding site, which exists in KsgA.

Methods
A structural analysis and in vitro DNA-protein binding assay were performed. The C-terminal function of the KsgA protein was investigated in vitro and in vivo.

Results
The 3D conformations of KsgA, MutM, and Nei were compared at UCSF Chimera. The root mean square deviation of KsgA (214-273) and MutM (148-212) and that of KsgA (214-273) and Nei (145-212) were 1.067 and 1.188 Å, both less than 2 Å, suggesting that the C terminal of KsgA is spatially similar to the H2TH domains of MutM and Nei. The full-length KsgA protein and KsgA lacking 1-8 or 214-273 amino acids were purified and used in gel mobility shift assays. KsgA exhibited DNA-binding activity, which was lost in the C-terminally deleted KsgA protein. Spontaneous mutation frequency was measured using a mutM mutY ksgA-deficient strain, and the results obtained showed that the mutation frequency was not suppressed by KsgA lacking the C-terminal region, whereas it was in KsgA. To assess dimethyltransferase activity, kasugamycin sensitivity was assessed in wild-type and ksgA-deficient strains. Plasmids carrying the full-length ksgA gene and C-terminal deletion gene were introduced into ksgA-deficient strains. KsgA lacking the C terminus restored dimethyltransferase activity in the ksgA-deficient strain as well as KsgA.

Conclusion
The present results confirmed that one enzyme exhibited two activities and revealed that the C-terminal (214-273) amino acids of KsgA were highly similar to the H2TH structural domain, exhibited DNA-binding activity, and inhibited spontaneous mutations. This site is not essential for dimethyltransferase activity.
Total knee arthroplasty in patients with severe obesity: outcomes of standard keeled tibial components versus stemmed universal base plates
Authors: Elcock Katherine L. , MacDonald Deborah J. , Clement Nick D. , Scott Chloe E. H. 
Published: April 2023

Abstract
Background
Patients with severe obesity [body mass index (BMI) ≥ 40 kg/m2] potentially overload the tibial component after total knee arthroplasty (TKA), risking tibial subsidence. Using a cemented single-radius cruciate-retaining TKA design, this study compared the outcomes of two tibial baseplate geometries in patients with BMI ≥ 40 kg/m2: standard keeled (SK) or universal base plate (UBP), which incorporates a stem.

Methods
This was a retrospective, single-centre cohort study with minimum 2 years follow-up of 111 TKA patients with BMI ≥ 40 kg/m2: mean age 62.2 ± 8.0 (44–87) years, mean BMI 44.3 ± 4.6 (40–65.7) kg/m2 and 82 (73.9%) females. Perioperative complications, reoperations, alignment and patient-reported outcomes (PROMS): EQ-5D, Oxford Knee Score (OKS), Visual Analogue Scale (VAS) pain score and satisfaction were collected preoperatively, and at 1 year and final follow-up postoperatively.

Results
Mean follow-up was 4.9 years. SK tibial baseplates were performed in 57 and UBP in 54. There were no significant differences in baseline patient characteristics, post-operative alignment, post-operative PROMs, reoperations or revisions between the groups. Three early failures requiring revision occurred: two septic failures in the UBP group and one early tibial loosening in the SK group. Five-year Kaplan–Meier survival for the endpoint mechanical tibial failure was SK 98.1 [94.4–100 95% confidence interval (CI)] and UBP 100% (p = 0.391). Overall varus alignment of the limb (p = 0.005) or the tibial component (p = 0.031) was significantly associated with revision and return to theatre.

Conclusions
At early to mid-term follow-up, no significant differences in outcomes were found between standard and UBP tibial components in patients with BMI ≥ 40 kg/m2. Varus alignment of either tibial component or the limb was associated with revision and return to theatre.