Miracle-dz/UniFAR-FTUs huggingface dataset:
Timing of Bone Marrow Cell Delivery Has Minimal Effects on Cell Viability and Cardiac Recovery Following Myocardial Infarction

Background: Despite ongoing clinical trials, the optimal time for delivery of bone marrow mononuclear cells (BMCs) following myocardial infarction (MI) is unclear. We compared the viability and effects of transplanted BMCs on cardiac function in the acute and sub-acute inflammatory phases of MI. Methods and Results: The time-course of acute inflammatory cell infiltration was quantified by FACS analysis of enzymatically digested hearts of FVB mice (n=12) following LAD ligation. Mac-1+Gr-1high neutrophil infiltration peaked at day 4. BMCs were harvested from transgenic FVB mice expressing firefly luciferase (Fluc) and green fluorescent protein (GFP). Afterwards, 2.5x106 BMCs were injected into the left ventricle of wild-type FVB mice either immediately (Acute BMC) or 7 days (Sub-acute BMC) after MI, or after a sham procedure (n=8 per group). In vivo bioluminescence imaging (BLI) showed an early signal increase in the Acute BMC group at day 7, followed by a trend towards improved BMC survival in the Sub-acute BMC group that persisted until the BLI signal reached background levels after 42 days. Compared to controls (MI + saline injection), echocardiography showed a significant preservation of fractional shortening at 4 weeks (Acute BMC vs saline; P<0.01) and 6 weeks (both BMC groups vs saline; P<0.05), but no significant differences between the two BMC groups. FACS analysis of BMC injected hearts at day 7 revealed that GFP+ BMCs expressed hematopoietic (CD45, Mac-1, Gr-1) markers, minimal progenitor (Sca-1, c-kit), and no endothelial (CD133, Flk-1) or cardiac (Trop-T) cell markers. Conclusion: Timing of BMC delivery has minimal effects on intramyocardial retention and preservation of cardiac function. In general, there is poor long-term engraftment and BMCs tend to adopt inflammatory cell phenotypes. Timing of stem cell delivery following myocardial infarction
COPD_A_333251 13..24

1Department of General Medicine, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, People’s Republic of China Purpose: Chronic obstructive pulmonary disease (COPD) is a major cause of death and morbidity worldwide. A better understanding of new biomarkers for COPD patients and their complex mechanisms in the progression of COPD are needed. Methods: An algorithm was conducted to reveal the proportions of 22 subsets of immune cells in COPD samples. Differentially expressed immune-related genes (DE-IRGs) were obtained based on the differentially expressed genes (DEGs) of the GSE57148 dataset, and 1509 immunerelated genes (IRGs) were downloaded from the ImmPort database. Functional enrichment analyses of DE-IRGs were conducted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses and Ingenuity Pathway Analysis (IPA). We defined the DE-IRGs that had correlations with immune cells as hub genes. The potential interactions among the hub genes were explored by a protein–protein interaction (PPI) network. Results: The CIBERSORT results showed that lung tissue of COPD patients contained a greater number of resting NK cells, activated dendritic cells, and neutrophils than normal samples. However, the fractions of follicular helper T cells and resting dendritic cells were relatively lower. Thirty-eight DE-IRGs were obtained for further analysis. Functional enrichment analysis revealed that these DE-IRGs were significantly enriched in several immunerelated biological processes and pathways. Notably, we also observed that DE-IRGs were associated with the coronavirus disease COVID-19 in the progression of COPD. After correlation analysis, six DE-IRGs associated with immune cells were considered hub genes, including AHNAK, SLIT2 TNFRRSF10C, CXCR1, CXCR2, and FCGR3B. Conclusion: In the present study, we investigated immune-related genes as novel diagnostic biomarkers and explored the potential mechanism for COPD based on CIBERSORT analysis, providing a new understanding for COPD treatment.
OTT_A_271032 11337..11346

1Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization (Shenzhen), Shenzhen 518114, People’s Republic of China; 2Shenzhen Key Laboratory for Orchid Conservation and Utilization, The National Orchid Conservation Center of China and the Orchid Conservation & Research Center of Shenzhen, Shenzhen 518114, People’s Republic of China; 3Key Laboratory of Medical Reprogramming Technology, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, People’s Republic of China Background: Bladder cancer has long been recognized as one of the most common and aggressive human malignant carcinomas due to the increased invasiveness and metastasis. The discovery and development of natural compounds from Dendrobium species for cancer therapy have garnered increasing attention in recent years. Among those natural elements, the bibenzyl compound gigantol has promising therapeutic potential against several cancer cell lines; however, its roles on bladder tumor metastasis have not been investigated. Materials and Methods: Here in this in vitro study, we utilized viability tests, cell migration, cell invasion and apoptosis assays to evaluate the anti-tumor activity of gigantol on three human bladder cancer cell lines (SW780, 5637, and T24) and a normal human bladder cell line (SVHUC-1). Cells were treated with different concentrations of gigantol (0, 40, 80, and 160 μM) for 24, 48 and 72 h. Results: Here in this study, we showed that gigantol suppressed cancer cell proliferation but not normal SVHUC-1 cells. The inhibitory effect of the compound on cell migration and invasion was also exhibited in the cancer cell lines. Cell apoptosis assay by flow cytometry revealed enhanced apoptotic effects of gigantol on cancer cells. Gene expression analysis revealed that Wnt/EMT signaling might involve in the response of bladder cancer cells to gigantol. Conclusion: Therefore, the present data demonstrate gigantol as a strong anticancer reagent against bladder cancer possibly through Wnt/EMT signaling.
Hardware Accelerator for Low-Latency Privacy Preserving Mechanism

—With the recent growth in the quantity and value of data, data holders have come to realize the importance of being able to utilize information that is otherwise abandoned or concealed. In this situation, they face the difﬁculty of publishing data without revealing private information. Two of the methods used to protect private information when publishing data are privacy-preserving methods based on constraints known as k - anonymity and l -diversity. These methods enable the utilization of published data while preserving privacy, but incur a large computational cost. We solve this problem using a hardware architecture composed of Ternary Content Addressable Memory (TCAM), which can signiﬁcantly accelerate the privacy preservation process. k -anonymity and l -diversity have not been studied in any signiﬁcant way for efﬁcient hardware implementation. Thus, this will be the ﬁrst of its kind. An evaluation proves that an implementation of the proposed architecture on a reconﬁgurable device performs approximately 10-50 times faster than a RAM-based architecture.
CLEP_A_311450 569..579

1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 2Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark; 3Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark; 4Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark Purpose: To evaluate the potential of Danish prescription registries to capture aspirin and non-aspirin non-steroidal anti-inflammatory drug (NSAID) use and to quantitatively evaluate the magnitude of bias from misclassification of true NSAID and aspirin use as apparent nonuse in drug outcome studies. Patients and Methods: In a population-based cohort study, we retrieved sales statistics for NSAIDs and aspirins based on nationwide data from the Danish Health Data Authority and the Danish National Prescription Registry. We estimated prevalence of recorded and nonrecorded NSAID use in the prescription registry and resulting proportions of true NSAID and aspirin use misclassified as apparent non-use from 1999 to 2019 at population and patient levels. Results: The prevalence of true use misclassified as non-use (mainly due to over-the-counter use) peaked at 4.7% in 2012 for NSAIDs overall, 5.5% in 2012 for ibuprofen, and at 5.9% in 2002 for high-dose aspirin. Misclassification of other individual NSAIDs was near null. Misclassification of true low-dose aspirin use as non-use declined during the study period but remained around 1% since 2005. In subgroups of cardiac patients, the highest prevalence of true NSAID use misclassified as non-use was 5.0% in 2002 and 4.3% in 2017. Quantitative bias analyses showed how such misclassification of true NSAID and aspirin use as non-use remained minimal both at population and patient levels. In hypothetical examples simulating real study populations with differing exposure prevalence and prevalence of true NSAID and aspirin use misclassified as apparent non-use, the approximate percentage change due to misclassification of use as non-use did not exceed 5% and in most scenarios stayed around 1%. Conclusion: The Danish prescription registries are valid data sources for assessing the effects of aspirin and NSAID use. The influence of non-recorded NSAID and aspirin use on estimates of association is virtually negligible.
Unconscious Oral Cancer Prediction using Supervised Learning

—Since the beginning of time, the disease of cancer has been incurable and intimidating. However owing to the tremendous advancement in the field of technology, it is smoothly curable provided detected in the earliest of stage possible. Pre-cisely considering oral cancer, it is the phenomenon of exponential increase in the number of cells which in turn starts damaging the surrounding and neighbouring cells. In spite of the availability of supremely advanced radiation therapy and chemotherapy, the death rate prevailing is very disappointing and increasing. However an early prediction of the same might help to curb this problem. In order to provide with a substantial solution for the same, we propose to perform a comparative analysis of the supervised learning techniques under the domain of machine learning using the accuracy and time complexity approach to design an effective model using the considered data set of the victim to help predict the unconscious cancer in a user so that he/she can work towards the appropriate line of treatment and also make the suggested lifestyle changes. The aim of this paper is to act as a detailed guide for all to develop a system on similar guideline.
B Boredom Propensity

From medieval monks to romantic novelists to modern-day filmmakers, scholars and artists have been discussing boredom since the fourth century (Svendsen 2005). Recently, researchers have joined the conversation. Indeed, boredom has become interesting – at least to psychologists. In particular, psychologists have become interested in the personality trait of boredom propensity. Interest in boredom propensity has arisen out of the observation that people differ in terms of the prominence of boredom in their lives, and for some individuals, boredom is a recurrent and oppressive problem. This entry will explore how boredom propensity has been defined and measured, its consequences and correlates, and potential future research directions.
A Robust-to-parameterization Clustering Fusion Approach for Monitoring Damage Onsets and Growth using Acoustic Emission

A methodology is presented for acoustic emission (AE) data processing and interpretation, well suited for material characterization of laboratory specimens and in-service structural health monitoring. The methodology relies on the AE streaming in which relevant transients are detected using wavelet-based wave picking, feature vector cleansing with a Mahalanobis-based procedure and a new approach for pattern recognition relying on clustering fusion. The proposed clustering fusion method emphasizes damage kinetics related to the continuous-time definition of AE signals, quantifies uncertainty on clusters (AE sources) evolution, and evaluates the robustness of the results with respect to the change in the parameterization using mutual information. Illustrations concern the early detection and monitoring damage onsets and evolution in a thermoplastic thermostable composite tubular bandage for high-speed rotating engine.
NDT_A_199328 927..934

Yirong Wang Kewei Fang Shijia He Yang Fan Juming Yu Xiaodong Zhang 1Department of Neurology, Affiliated Hospital of North Sichuan Medical College, Sichuan, People’s Republic of China; 2Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Sichuan, People’s Republic of China Background: The mechanism of action of repetitive transcranial magnetic stimulation (rTMS) involves the generation of neuronal and action potentials utilizing induced currents in timevarying magnetic fields. However, the long-lasting and effective biological impact of magnetic stimulation does not appear to be completely explained by the transient magnetic field pulses. In this context, we hypothesized magnetic stimulation may affect the expression of iron-containing enzymes in neurons, mediating the long-lasting biological effects associated with this stimulus. Methods: Primarily cultured hippocampus neurons from SD rats were used as the cell model in this study. These were randomly divided into control, sham, and magnetic stimulation groups to probe into the effect of the magnetic field directly. The latter group received 40%, 60%, and 100% maximal stimulator output Tesla (1.68, 2.52, and 4.2 T) with lowfrequency rTMS (1 Hz). The expression of iron-containing enzymes (catalase and aconitase) and non-ferrous enzymes (protein kinase A) was measured with Western blotting and ELISA. Results: The survival rates of neurons in the 40%T and 60%T groups were significantly increased in comparison to the controls (P<0.05), while those in the 100%T group showed cell damage, with slightly disturbed neurite connections and decreased survival rate. Furthermore, catalase and aconitase expression was higher in all of the stimulated groups in comparison to controls (P<0.05). On the other hand, the expression of the iron-containing enzymes decreased in the 100%T group in comparison with the 40%T and 60%T groups (P<0.05). Meanwhile, the expression of protein kinase A was not significantly increased in the groups which underwent magnetic stimulation. Conclusion: rTMS may increase the expression of ferrous enzymes but does not have a strong effect on non-ferrous enzymes. Excessive intensity of magnetic stimulation may reduce neuronal survival rate and affect the expression of iron-containing enzymes. The mechanism underlying the lasting effect of rTMSmay be related to the increase of ferriferous expression induced by magnetic stimulation, with a clear correlation with stimulation intensity.
NBER WORKING PAPER SERIES PRODUCTION FUNCTION ESTIMATION AND CAPITAL MEASUREMENT ERROR

We look into the impact of measurement error in capital on the estimation of production functions. We introduce an identification scheme and an estimation procedure that jointly deals with measurement error in capital and the standard simultaneity bias due to unobserved productivity shocks. We use lagged investment to instrument for potentially mis-measured capital stock, while conditioning on the part of productivity that is persistent. Our estimation routine nests standard approaches in the literature, such as Ackerberg, Caves, and Frazer (2015). It requires no additional data as investment is usually collected with other producer level data. We show through Monte-Carlo experiments that a 40 percent measurement error in capital yields capital coefficients that are biased downward by a factor of two. We illustrate our approach using data for three distinct economies: China, India and Chile; which experienced radically different processes of capital and productivity dynamics. We find capital coefficients that are typically two times larger than those using standard approaches that only control for simultaneity. Allan Collard-Wexler Department of Economics Duke University 233 Social Sciences Durham, NC 27708 and NBER allan.collard-wexler@duke.edu Jan De Loecker Economics Department KU Leuven School of Economics and Business Naamsestraat 68 3000 Leuven Belgium and KU Leuven and CEPR and also NBER jan.deloecker@kuleuven.be
Factor/IL-22IL-10-Related T Cell-Derived Inducible Binding Protein, a Natural Antagonist of Cloning and Characterization of IL-22

The class II cytokine receptor family includes the receptors for IFN- ab , IFN- g , IL-10, and IL-10-related T cell-derived inducible factor/IL-22. By screening genomic DNA databases, we identiﬁed a gene encoding a protein of 231 aa, showing 33 and 34% amino acid identity with the extracellular domains of the IL-22 receptor and of the IL-20R/cytokine receptor family 2-8, respectively, but lacking the transmembrane and cytoplasmic domains. A lower but signiﬁcant sequence identity was found with other members of this family such as the IL-10R (29%), cytokine receptor family 2-4/IL-10R b (30%), tissue factor (26%), and the four IFN receptor chains (23–25%). This gene is located on chromosome 6q24, at 35 kb from the IFNGR1 gene, and is expressed in various tissues with maximal expression in breast, lungs, and colon. The recombinant protein was found to bind IL-10-related T cell-derived inducible factor/IL-22, and to inhibit the activity of this cytokine on hepatocytes and intestinal epithelial cells. We propose to name this natural cytokine antagonist IL-22BP for IL-22 binding protein. The Journal of Immunology, 2001, 166: 7090–7095.
Effect of Ultrasonic Vibration and Interpass Temperature on Microstructure and Mechanical Properties of Cu ‐ 8 Al ‐ 2 Ni ‐ 2 Fe ‐ 2 Mn Alloy Fabricated by Wire Arc Additive Manufacturing

A novel ultrasonic vibration assisted (UVA) wire arc additive manufacturing (WAAM) was used to fabricate Cu‐8Al‐2Ni‐2Fe‐2Mn alloy in this study. The effect of different interpass temperatures with and without ultrasonic vibration on the microstructural evolution and mechanical properties of the fabricated part were investigated by optical microscope (OM), scanning electron microscope (SEM), transmission electron microscope (TEM), nanoindentation, and mechanical tensile testing. The results showed that reduction of the interpass temperature without UVA treatment cannot prevent the columnar dendrites directionally growing along the deposition direction. Under the UVA treatment, the coarse columnar dendrites were broken at the interpass temperature of 400 °C, and formed a fine cellular structure with an interpass temperature of 100 °C, owing to the acoustic streaming effect and cavitation effect. In addition, globular κII phase was based on Fe3Al and lamellar κIII phase was based on NiAl distributed in the interdendritic region, whereas κIV phase (rich‐Fe) were precipitated in the α‐Cu matrix. The improvement of microstructural characteristics caused by UVA treatment further improved the tensile properties and nano‐hardness of WAAM fabricated parts. Eventually, it is experimentally demonstrated that WAAM fabricated Cu‐8Al‐2Ni‐2Mn‐2Fe alloy can obtain high‐performance at UVA process under an interpass temperature of 100 °C.
A Novel Bearing Fault Diagnosis Method Based on LMD and Wavelet Packet Energy Entropy

Abstract Rolling element bearings faults may lead to fatal breakdown of machines. Therefore, it is significant to be study bearings diagnosis, and the vibration-based methods have received intensive study because vibration signals collected from bearings carry rich information on machine health conditions, and it is possible to obtain vitalcharacteristic information from the vibration signals through using signal processing techniques. This paper proposes a novel vibration-based diagnosis method about bearing faults, first, a new pattern recognition method is proposed to diagnose bearing faults through using the interval value of the spectral peak frequency in the frequency domain; second, vibration signals of different parts faults of the bearings will be processed by different algorithm for precisely extracting the fault characteristics; and third, in order to extract transient characteristics from a noisy signal, the filter need to be developed and to further improve the signal-to-noise ratio (SNR), band pass filter is designed based on the PSD of vibration signals in this paper. The vibration signals collected from rolling element bearings are used to demonstrate the performance of the proposed method, andthe results verify the effectiveness of the method in extracting fault characteristics and diagnosing faults of rolling element bearings.
Tilburg University Predictors of quality of life of people receiving intensive community-based care

Purpose Intensive community-based care (ICBC) is a home-treatment approach aiming to support people ‘living in the community’ with severe psychiatric and addiction problems. Although subjective quality of life (SQOL) is an increasingly important outcome measure in health care, little is known on ICBC clients’ SQOL. Methods Clients of three ICBC teams (N = 523) participated in the study. Upon intake, clients filled out a SQOL measure and indicated whether they had a good friend, partner, and children, as well as their experiences with crime. Professional caregivers filled in a measure on problem severity. Results Regression was used to examine to what extent the included variables contributed to explaining variance in ICBC clients’ SQOL. Determinants in the model significantly predicted client SQOL and explained 37 % of the variance. ‘Symptomatology’ (depressive symptoms) and ‘social problems’ (living conditions) negatively influenced the SQOL, while having a partner, a good friend, and an overall lower problem severity positively influenced SQOL. Conclusions SQOL among ICBC clients is related to psychopathology, in contrast to previous knowledge. It is dependent upon symptom specificity, living conditions, and social circumstances and therefore presumably on program characteristics. This study provides insight into well-being among ICBC clients and is therefore relevant to involved healthcare professionals.