Miracle-dz/UniFAR-FTUs huggingface dataset:
Being Active during the Lockdown: The Recovery Potential of Physical Activity for Well-Being

To examine the indirect relationships between physical activity, and well-being (i.e., need satisfaction, subjective vitality, and stress) of individuals, through recovery experiences (i.e., detachment from lockdown, relaxation, mastery, and control over leisure time) during the spring 2020 COVID-19 lockdown. Methods. 405 participants answered an online survey including questions on physical activity, recovery experiences, subjective vitality, perceived stress, and basic psychological needs satisfaction. Structural equation modeling tested a full-mediated model in which physical activity predicted recovery experience, which in turn predicted well-being. Results. Physical activity was positively related to a latent variable representing recovery experiences, which in turn was positively related to a latent variable representing well-being. Conclusions. Physical activity carried out regularly during the COVID-19 lockdown positively predicted well-being through recovery experiences. The study results highlight the importance of maintaining or increasing physical activity during periods when recovery experiences and well-being may be threatened.
Plant Natural Products: Promising Resources for Cancer Chemoprevention

Cancer is a major factor threatening human health and life safety, and there is a lack of safe and effective therapeutic drugs. Intervention and prevention in premalignant process are effective ways to reverse carcinogenesis and prevent cancer from occurring. Plant natural products are rich in sources and are a promising source for cancer chemoprevention. This article reviews the chemopreventive effects of natural products, especially focused on polyphenols, flavonoids, monoterpene and triterpenoids, sulfur compounds, and cellulose. Meanwhile, the main mechanisms include induction of apoptosis, antiproliferation and inhibition of metastasis are briefly summarized. In conclusion, this article provides evidence for natural products remaining a prominent source of cancer chemoprevention.
Cutaneous Spindle Cell Squamous Cell Carcinoma in Cats: Clinical, Histological, and Immunohistochemical Study

This study describes the clinical and pathological characteristics of cutaneous spindle cell squamous cell carcinoma (SCSCC) in 18 cats. The average age of the cats was 11.8 ± 2.7 years, and all tumors were located in the facial skin, mainly affecting the pinna (13/18, 72%), followed by the periorbital area (4/18, 22%) and the dorsal muzzle (1/18, 6%). Tumors were composed of fusiform neoplastic cells with moderate atypia arranged in solid sheets or fascicles with foci of squamous differentiation. A panel of antibodies against cytokeratins, vimentin, S-100 protein, NSE, GFAP, Melan A, SMA, desmin, CD18, CD31, and p63 was used to help differentiate SCSCC from other spindle cell malignancies. SCSCCs expressed CK5/6 (17/18, 94%), AE1/AE3 (15/18, 83%), and p63 protein (18/18, 100%), but there was no immunolabeling for CK8/18. A role for sunlight exposure in the pathogenesis of the tumors was suggested by changes indicative of actinic keratosis, the location of the tumors in dorsal areas, and the absence of histomorphologic features of papillomavirus infection. Recurrence was not recorded in 14/18 cases (78%) during a follow-up period of 7 to 25 months. Three of 18 (17%) tumors recurred or led to humane euthanasia due to local progression, and one case (5%) had regional lymph node metastasis. Clinical outcome varied with cutaneous location, mitotic count, and invasion of surgical margins; thus, SCSCCs with a more aggressive behavior were located in the periorbital area (4/4 cases), had ≥14 mitoses in 10 high-power fields (2.37 mm2) (4/4 cases), and showed invasion of surgical margins (3/4 cases).
Exploring the psychological impact of the cervical cancer screening failures on women in Ireland: A qualitative study

The National Cervical Cancer Screening Programme (CervicalCheck) was established in Ireland in 2008. It offers free smear tests to women aged between 25 and 60 and is designed to detect early cellular changes in the cervix. It has played a key role in reducing rates of cervical cancer in Ireland; however in recent times, it has been the centre of much controversy. In 2018, it emerged that a routine clinical audit found over 200 cases (out of approximately 1200) where abnormal cells had initially been reported as normal, resulting in significant delay in diagnosis and treatment for many women. In 80% of these cases, the missed abnormality was not disclosed to the woman affected. The Irish Government commissioned two major reviews to explore and clarify the key issues surrounding the CervicalCheck controversy which highlight major shortcomings in relation to non‐disclosure of audit results, and deficiencies in the governance and operation of the cervical screening programme. The controversy became an issue of national importance and was covered extensively across all national and international media outlets (Appendix S1 provides further background and context to the CervicalCheck controversy). Occurrences of negligence and non‐disclosure are not unique to the CervicalCheck programme in Ireland. A similar chain of events was documented in Canada when the public learned that nearly 40% of breast cancer patients received incorrect test results of their estrogen receptor test between 1997 and 2005. Despite the Canadian and similar incidents, little work has been done to understand the personal and psychological impact of incorrect screening, reporting and non‐disclosure, which has potential relevance to all screening programmes. The aim of this study was to conduct a qualitative exploration of the perspectives and experiences of some of the women who were directly impacted by the failures of the screening programme, providing insight into the individual experience of a missed abnormality in cancer screening and their experience of non‐ disclosure.
Histone Acetylation Domains Are Differentially Induced during Development of Heart Failure in Dahl Salt-Sensitive Rats

Histone acetylation by epigenetic regulators has been shown to activate the transcription of hypertrophic response genes, which subsequently leads to the development and progression of heart failure. However, nothing is known about the acetylation of the histone tail and globular domains in left ventricular hypertrophy or in heart failure. The acetylation of H3K9 on the promoter of the hypertrophic response gene was significantly increased in the left ventricular hypertrophy stage, whereas the acetylation of H3K122 did not increase in the left ventricular hypertrophy stage but did significantly increase in the heart failure stage. Interestingly, the interaction between the chromatin remodeling factor BRG1 and p300 was significantly increased in the heart failure stage, but not in the left ventricular hypertrophy stage. This study demonstrates that stage-specific acetylation of the histone tail and globular domains occurs during the development and progression of heart failure, providing novel insights into the epigenetic regulatory mechanism governing transcriptional activity in these processes.
Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods.

BACKGROUND Advanced machine learning methods can aid in the identification of dementia risk using neuroimaging-derived features including FDG-PET. However, to enable the translation of these methods and test their usefulness in clinical practice, it is crucial to conduct independent validation on real clinical samples, which has yet to be properly delineated in the current literature. OBJECTIVE In this paper, we present our efforts to enable such clinical translational through the evaluation and comparison of two machine-learning methods for discrimination between dementia of Alzheimer's type (DAT) and Non-DAT controls. METHODS FDG-PET-based dementia scores were generated on an independent clinical sample whose clinical diagnosis was blinded to the algorithm designers. A feature-engineered approach (multi-kernel probability classifier) and a non-feature-engineered approach (3D convolutional neural network) were analyzed. Both classifiers were pre-trained on cognitively normal subjects as well as subjects with DAT. These two methods provided a probabilistic dementia score for this previously unseen clinical data. Performance of the algorithms were compared against ground-truth dementia rating assessed by experienced nuclear physicians. RESULTS Blinded clinical evaluation on both classifiers showed good separation between the cognitively normal subjects and the patients diagnosed with DAT. The non-feature-engineered dementia score showed higher sensitivity among subjects whose diagnosis was in agreement between the machine-learning models, while the feature-engineered approach showed higher specificity in non-consensus cases. CONCLUSION In this study, we demonstrated blinded evaluation using data from an independent clinical sample for assessing the performance in DAT classification models in a clinical setting. Our results showed good generalizability for two machine-learning approaches, marking an important step for the translation of pre-trained machine-learning models into clinical practice.
Hybrid Repair versus Conventional Open Repair Approaches for Aortic Arch Disease: a Comprehensive Review

Objective To investigate whether hybrid repair has supremacy over conventional open repair in aortic arch diseases. Methods A comprehensive search was undertaken in two major databases (PubMed and MEDLINE) to identify all studies comparing the two surgical techniques in five years, up to December 2018, that met the established criteria in this study. The search returned 310 papers, and 305 were selected after removing duplicates. The abstracts of the remaining articles were assessed, resulting in 15 studies that went to full-text analysis. After application of the inclusion and exclusion criteria, 8 papers remained for the final revision. Results Eight studies met the criteria, with the inclusion of 1,837 patients. From a short-term perspective, hybrid repair and conventional open repair had similar outcomes in terms of postoperative mortality and acute neurological events. Hybrid repair was associated with less respiratory complications and risk of new intervention, as well as reduced hospital length of stay. Conventional open repair showed better mid- and long-term outcomes. Conclusion Hybrid repair should be used in selected patients, with a high risk or very high-risk profile for conventional surgery. Finally, since most of the current data were obtained from limited to large samples, with narrow follow-up and had great heterogeneity, the best approach to the aortic arch is still variable. Therefore, the decision of the approach should be individualized and evaluated by the whole Heart Team, considering the expertise of the surgical team.
The Clinical Significance of Bone Mineral Density Changes Following Long-Term Androgen Deprivation Therapy in Localized Prostate Cancer Patients

Purpose: Long-term androgen deprivation therapy has been associated with decreased bone mineral density in men with prostate cancer. Some evidence suggests that there is no impact on fracture risk despite this bone mineral density loss. Our study aimed to quantify changes in bone mineral density in men with high risk prostate cancer on long-term androgen deprivation therapy and calcium and vitamin D supplementation. Materials and Methods: Bone mineral density analysis was conducted for localized high risk prostate cancer patients enrolled in the phase III randomized trial PCS-V (Prostate Cancer Study 5), comparing conventional and hypofractionated radiation therapy. Patients received 28 months of luteinizing hormone-releasing hormone agonist and calcium and vitamin D supplementation (500 mg calcium BID+400 IU vitamin D3 BID). The areal density and T-scores (spine, femoral neck and total femur) at baseline and 30 months of followup were extracted, and the absolute change was calculated. Clinical bone density status (normal, osteopenia, osteoporosis) was monitored. Results: The lumbar spine, femoral neck and total femoral bone mineral density were measured for 226, 231, and 173 patients, respectively. The mean percent change in bone mineral density was −2.65%, −2.76% and −4.27% for these respective sites (p <0.001 for all). The average decrease in bone mineral density across all sites was −3.2%, with no decline in bone mineral density category in most patients (83%). Eight patients (4%) became osteoporotic. Conclusions: Despite a mild decline in bone mineral density, the change in clinical bone mineral density category remained low with long-term androgen deprivation therapy. Consequently, calcium and vitamin D supplementation alone may suffice for most localized prostate cancer patients on long-term androgen deprivation therapy.
The Inflammatory Factors Associated with Disease Severity to Predict COVID-19 Progression

Key Points COVID-19 is associated with immune-inflammation dysregulation in blood and lung. CEA, IL-8, and S100A8/A9 in serum were useful for differentiating COVID-19 from influenza. IL-6, CEA, IL-8, S100A8/A9, and proteinase 3 in BALF are predictive of COVID-19 severity. Coronavirus disease 2019 (COVID-19) is associated with immune dysregulation and cytokine storm. Exploring the immune-inflammatory characteristics of COVID-19 patients is essential to reveal pathogenesis and predict progression. In this study, COVID-19 patients showed decreased CD3+, CD4+, and CD8+ T cells but increased neutrophils in circulation, exhibiting upregulated neutrophil-to-lymphocyte and neutrophil-to-CD8+ T cell ratio. IL-6, TNF-α, IL-1β, IL-18, IL-12/IL-23p40, IL-10, Tim-3, IL-8, neutrophil extracellular trap–related proteinase 3, and S100A8/A9 were elevated, whereas IFN-γ and C-type lectin domain family 9 member A (clec9A) were decreased in COVID-19 patients compared with healthy controls. When compared with influenza patients, the expressions of TNF-α, IL-18, IL-12/IL-23p40, IL-8, S100A8/A9 and Tim-3 were significantly increased in critical COVID-19 patients, and carcinoembryonic Ag, IL-8, and S100A8/A9 could serve as clinically available hematologic indexes for identifying COVID-19 from influenza. Moreover, IL-6, IL-8, IL-1β, TNF-α, proteinase 3, and S100A8/A9 were increased in bronchoalveolar lavage fluid of severe/critical patients compared with moderate patients, despite decreased CD4+ T cells, CD8+ T cells, B cells, and NK cells. Interestingly, bronchoalveolar IL-6, carcinoembryonic Ag, IL-8, S100A8/A9, and proteinase 3 were found to be predictive of COVID-19 severity and may serve as potential biomarkers for predicting COVID-19 progression and potential targets in therapeutic intervention of COVID-19.
Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging

Simple Summary Transfer learning plays a major role in medical image analyses; however, obtaining adequate training image datasets for machine learning algorithms can be challenging. Although many studies have attempted to employ transfer learning in medical image analyses, thus far, only a few review articles regarding the application of transfer learning to medical image analyses have been published. Moreover, reviews on the application of transfer learning in ultrasound breast imaging are rare. This work reviews previous studies that focused on detecting breast cancer from ultrasound images by using transfer learning, in order to summarize existing methods and identify their advantages and shortcomings. Additionally, this review presents potential future research directions for applying transfer learning in ultrasound imaging for the purposes of breast cancer detection and diagnoses. This review is expected to be significantly helpful in guiding researchers to identify potential improved methods and areas that can be improved through further research on transfer learning-based ultrasound breast imaging. Abstract Transfer learning is a machine learning approach that reuses a learning method developed for a task as the starting point for a model on a target task. The goal of transfer learning is to improve performance of target learners by transferring the knowledge contained in other (but related) source domains. As a result, the need for large numbers of target-domain data is lowered for constructing target learners. Due to this immense property, transfer learning techniques are frequently used in ultrasound breast cancer image analyses. In this review, we focus on transfer learning methods applied on ultrasound breast image classification and detection from the perspective of transfer learning approaches, pre-processing, pre-training models, and convolutional neural network (CNN) models. Finally, comparison of different works is carried out, and challenges—as well as outlooks—are discussed.
Photosynthetic Nutrient and Water Use Efficiency of Cucumis sativus under Contrasting Soil Nutrient and Lignosulfonate Levels

To reduce the use of commercial conventional inorganic fertilizers, the possibility of using pulp and paper industry wastes in agriculture as an alternative source of nutrients is recently under study and discussion. This work aimed to evaluate the effect of sodium lignosulfonate application to soil on photosynthetic leaf nutrient (N, P, K, Ca, Mg, Fe, Mn, and Na) and water use efficiency. A pot culture experiment was conducted with cucumber seedlings, using five lignosulfonate concentrations (0, 1, 2.5, 5, and 10 vol. %) in sandy soil under sufficient or low nutrient availability for plants. The impact of nutrient availability on the plants’ physiological traits was stronger than the lignosulfonate impact. Under sufficient nutrient availability, the lignosulfonate application resulted in decreased photosynthetic N, P, K, Ca, Mg, Fe, and Na use efficiency. Cucumber growth and development, and photosynthetic nutrient, water, and light use efficiency were significantly reduced with a nutrient deficiency. The sodium lignosulfonate application was not successful in eliminating the negative effects of nutrient deficit on cucumber seedlings.
Efficacy of Denosumab Therapy Following Treatment with Bisphosphonates in Women with Osteoporosis: A Cohort Study

Denosumab is a human monoclonal antibody that neutralizes RANKL, a cytokine able to interact with the RANK receptor on preosteoclasts and osteoclasts, decreasing their recruitment and differentiation, leading to a decreased bone resorption. The aim of this observational real-life study was to analyze adherence to denosumab therapy and assess its efficacy in increasing bone mineral density (BMD) and modulating biochemical skeletal markers following previous treatments with bisphosphonates in a group of post-menopausal women with osteoporosis. Women were recruited in the specialized center from March 2012 to September 2019. Biochemical markers were recorded at baseline and every six months prior to subsequent drug injection. Dual X-ray absorptiometry was requested at baseline and after 18/24 months. Comparing BMD at baseline and after denosumab therapy in naive patients and in those previously treated with bisphosphonates, a positive therapeutic effect was observed in both groups. The results of our real-life study demonstrate, as expected, that BMD values significantly increased upon denosumab treatment. Interestingly, denosumab showed an increased efficacy in patients previously treated with bisphosphonates. Moreover, biochemical markers data indicate that osteoporotic patients, without other concomitant unstable health conditions, could be evaluated once a year, decreasing the number of specialistic center access.
A cross-sectional study

Personal mobility devices (PMDs) have emerged as new factors in motor vehicle accidents, and related injuries are increasing. We aimed to describe the characteristics of PMD-related injuries presented to emergency departments (EDs) through a cross-sectional study for 7 years. This study is a multicenter cross-sectional study using the Emergency Department-based Injury In-Depth Surveillance database in South Korea. We identified all PMD-related injuries from 2011 to 2017 based on text searching. We categorized them into 3 groups based on their distinguishable characteristics: electric standing scooter (E-scooter), electric self-balancing wheel (E-wheel), and electronic board (E-board). A total of 448 PMD-related injuries were observed during the observation period. E-scooter-, E-wheel-, and E-board-related injuries occurred in 284, 138, and 26 cases, respectively. Most patients were between the ages of 19 and 59years (69.2%), men (66.3%), and injured because of leisure activity (61.2%). The mechanism of injury was mostly traffic accidents (75.2%), but regarding injuries involving E-wheel and E-board, 25.4% and 30.8% of patients slipped from the device. The most commonly injured body part was the head, which accounted for 58.1% of E-scooter injuries, 38.4% of E-wheel injuries, and 53.9% of E-board injuries. Only 6 of all patients wore a helmet at the time of accident. PMD users and PMD-sharing programs are increasing, and more accidents are expected in the future. As PMDs are convenient to move andmore people are willing to use them, proper riding and safety rules based on the type of PMD are needed to reduce the risk of injury. The results of this study can be used as basic data for developing safety policies. Abbreviations: E-board = electronic board, ED = emergency department, EDIIS = emergency department-based injury in-depth surveillance, E-scooter = electric scooter, E-wheel = electric self-balancing wheel, ICD-10 = International Classification of Disease 10th Revision Code, KCDC = Korean Centers for Disease Control and Prevention, NEISS = National Electronic Injury Surveillance System, PMD = personal mobility devices.
Organization of radial glia reveals growth pattern in the telencephalon of a percomorph fish Astatotilapia burtoni

In the brain of teleost fish, radial glial cells are the main astroglial cell type. To understand how radial glia structures are adapting to continuous growth of the brain, we studied the astroglial cells in the telencephalon of the cichlid fish Astatotilapia burtoni in small fry to large specimens. These animals grow to a standard length of 10–12 cm in this fish species, corresponding to a more than 100‐fold increase in brain volume. Focusing on the telencephalon where glial cells are arranged radially in the everted (dorsal) pallium, immunocytochemistry for glial markers revealed an aberrant pattern of radial glial fibers in the central division of the dorsal pallium (DC, i.e., DC4 and DC5). The main glial processes curved around these nuclei, especially in the posterior part of the telencephalon. This was verified in tissue‐cleared brains stained for glial markers. We further analyzed the growth of radial glia by immunocytochemically applied stem cell (proliferating cell nuclear antigen [PCNA], Sox2) and differentiation marker (doublecortin) and found that these markers were expressed at the ventricular surface consistent with a stacking growth pattern. In addition, we detected doublecortin and Sox2 positive cells in deeper nuclei of DC areas. Our data suggest that radial glial cells give rise to migrating cells providing new neurons and glia to deeper pallial regions. This results in expansion of the central pallial areas and displacement of existing radial glial. In summary, we show that radial glial cells can adapt to morphological growth processes in the adult fish brain and contribute to this growth.