Miracle-dz/UniFAR-FTUs huggingface dataset:
Contribution of Bone Marrow‐Derived Stem Cells to Endometrium and Endometriosis

Bone marrow‐derived cells (BMDCs) can differentiate into nonhematopoietic cells, suggesting that BMDCs may contribute to the maintenance of multiple tissues. Donor‐derived bone marrow cells have been identified in human uterine endometrium. Here, two murine models were used to investigate the contribution of nonendometrial stem cells to endometrium. We investigate whether BMDCs can localize to uterine endometrium and to endometriosis. After bone marrow transplantation, male donor‐derived bone marrow cells were found in the uterine endometrium of female mice. Although uncommon (<0.01%), these cells can differentiate into epithelial cells. After generation of experimental endometriosis by ectopic endometrial implantation in the peritoneal cavity, bone marrow from LacZ transgenic mice was used for transplantation. LacZ expressing cells were found in the wild‐type ectopic endometrium implanted in the peritoneal cavity of hysterectomized LacZ transgenic mice. The repopulation of endometrium with bone marrow‐derived stem cells may be important to normal endometrial physiology and also may help to explain the cellular basis for the high long‐term failure of conservative alternatives to hysterectomy. The examination of a sexually dimorphic organ such as the uterus demonstrates the ability of male bone marrow, which cannot harbor circulating endometrial cells, to generate endometrium de novo and proves their mesenchymal stem cell origin. Finding Y chromosome bearing endometrial cells demonstrates the potential to recapitulate embryonic developmental pathways that were never activated in males; BMDCs may have vast regenerative capacity. Additionally, the ability of stem cells to engraft endometriosis has implications for the origin and progression of this disease. Ectopic differentiation of stem cells may be a novel mechanism of disease.
Profiling Successful Team Behaviors in League of Legends

Despite the increasing popularity of electronic sports (eSports), there is still a scarcity of academic works exploring the playing behavior of teams. Understanding the features that help to discriminate between successful and unsuccessful teams would help teams improving their strategies, such as determine performance metrics to reach. In this paper, we identify and characterize team behavior patterns based on historical matches from the very popular eSpor League of Legends web API. By applying machine learning and statistical analysis, we clustered teams' performance and investigate for each cluster how and to what extent these features have an influence on teams' success and failure. Some clusters are more likely to have winning teams than others, the results of our study helped to discover the characteristics that are associated with this predisposition and allowed us to model performance metrics of successful and unsuccessful team profiles. At all, we found 7 profiles in which were categorized into four levels in terms of winning team proportion: very low, moderate, high and very high.
A DNA-dependent RNA synthesis by wheat-germ RNA polymerase II insensitive to the fungal toxin α-amanitin

Wheat-germ RNA polymerase II is able to catalyse a DNA-dependent reaction of RNA synthesis in the presence of a high concentration (1 mg/ml) of the fungal toxin alpha-amanitin. This anomalous reaction is specifically directed by single-stranded or double-stranded homopolymer templates, such as poly(dC) or poly(dC). poly(dG), and occurs in the presence of either Mn2+ or Mg2+ as the bivalent metal cofactor. In contrast, the transcription of other synthetic templates, such as poly(dT), poly(dA). poly(dT) or poly[d(A-T)] is completely abolished in the presence of 1 microgram of alpha-amanitin/ml, in agreement with well-established biochemical properties of class II RNA polymerases. Size analysis of reaction products resulting from transcription of (dC)n templates of defined lengths suggests that polymerization of RNA chains proceeds through a slippage mechanism. The fact that alpha-amanitin does not impede this synthetic reaction implies that the amatoxin interferes with the translocation of wheat-germ RNA polymerase II along the DNA template.
Performance analysis of drone small cells under inter-cell interference

Inter-cell interference is one of important factors in drone small cells (DSCs). However, most works investigated the network performance of DSC networks with an assumption of interference-free. To achieve a realistic analysis, we analyze the coverage probability and achievable rate of DSC networks under inter-cell interference. However, the air-to-ground channel between DSCs and ground users consists of probabilistic line-of-sight (LoS) and non-line-of-sight (NLoS) links, which brings challenges to calculate the inter-cell interference. In this paper, we model the inter-cell interference by using equivalent uniform density plane-entity method first. Then, we study coverage probability and achievable rate considering Rician fading in LoS links and Rayleigh fading in NLoS links. Final, we show the impact of deployment density in numerical results, finding that there exists optimal deployment density that achieves best coverage performance.
On-line partial discharge source location in single-core cables with multi sheath-ground connections

This paper presents an on-line method for location of single partial discharge (PD) source on a cable network with multi sheath-ground connections. The main approach relies on comparing those transient components of currents passing through any two adjacent sheath-ground connections that relate to each other only by parameters of in-between cable. The proposed method is more reliable than the methods based on wave arrival time (ATA), due to processing on more than single points of the two considered PD pulses, which is the basis of ATA methods. This approach is then employed in discrimination between internal and external PD sources on a cable section and also location of an internal PD source on defected cable section. Comprehensive and straightforward guidelines for applying the proposed algorithm in any on-line applications are given. The proposed algorithm has shown accurate simulation results for various PD source characteristics, cable properties, and PD source locations even with additive noise on reference signals.
Comparison of two estrus synchronization programs in a large, confinement-housed dairy herd.

OBJECTIVE To compare pregnancy rates, seasonal effects, and economic benefits of 2 estrus synchronization programs for a confinement-housed dairy herd. DESIGN Prospective cohort study. ANIMALS 200 lactating Holstein cows. PROCEDURE Cows eligible for breeding were palpated per rectum and randomly assigned to 2 treatment groups during 4 seasonal periods. Cows in one group (Ovsynch) received injections of gonadotropin releasing hormone (GnRH) on day 0, prostaglandin F2 alpha on day 7, and a second injection of GnRH on day 8. Cows in the other group (PP) that had a palpable corpus luteum were given prostaglandin F2 alpha. Estrus detection was not performed on the Ovsynch cows, which were artificially inseminated at a predetermined time after the second GnRH injection. Cows in the PP group were observed for signs of estrus, and only those that were detected in estrus were inseminated. RESULTS Pregnancy rates and insemination rates were significantly improved for cows in the Ovsynch group, compared with cows in the PP group. CLINICAL IMPLICATIONS The Ovsynch program was an economically advantageous method for controlling reproduction that resulted in pregnancies without the need for estrus detection.
Microfenestration using the CUSA Excel ultrasonic aspiration system in chondrodystrophic dogs with thoracolumbar disk extrusion: a descriptive cadaveric and clinical study.

OBJECTIVE To describe an ultrasonic surgical aspirator assisted disk fenestration technique in dogs. STUDY DESIGN Descriptive cadaveric and prospective clinical study. ANIMALS Fresh Beagle cadavers (n=5) and 10 chondrodystrophic dogs with thoracolumbar disk extrusion. METHODS Cadaveric study: Intervertebral disks T12-L2 were fenestrated with the CUSA Excel in 5 Beagle cadavers, and fenestration efficacy assessed by morphologic examination of the completeness of fenestration and size of annulotomy. Clinical study: the affected intervertebral disk was fenestrated in 10 chondrodystrophic dogs treated by hemilaminectomy for thoracolumbar disk disease. Efficacy of fenestration was evaluated. RESULTS Mean time necessary to perform CUSA assisted fenestration was 8 minutes (range, 5-10 minutes) for each disk in cadavers and patients. In cadaver spines, removal of the nucleus pulposus was complete in 11/15 disks. In 4 disks, remnants of nucleus pulposus material were observed on the contralateral side. Nuclear material was normal in 9/15 disks and showed evidence of chondroid degeneration on histopathologic examination in the 6 disks. Median annulotomy size was 3 mm. Clinically, no signs of early recurrence were observed and all dogs recovered uneventfully. CONCLUSIONS CUSA assisted fenestration is a safe and efficient method of fenestration for removal of most of the nucleus pulposus through a limited annulotomy.
A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks

ABSTRACT Background. Deformable image registrations are prone to errors in aligning reliable anatomically features. Consequently, identification of registration inaccuracies is important. Particularly thoracic three-dimensional (3D) computed tomography (CT)-CT image registration is challenging due to lack of contrast in lung tissue. This study aims for validation of thoracic CT-CT image registration using auto-segmented anatomically landmarks. Material and methods. Five lymphoma patients were CT scanned three times within a period of 18 months, with the initial CT defined as the reference scan. For each patient the two successive CT scans were registered to the reference CT using three different image registration algorithms (Demons, B-spline and Affine). The image registrations were evaluated using auto-segmented anatomical landmarks (bronchial branch points) and Dice Similarity Coefficients (DSC). Deviation of corresponding bronchial landmarks were used to quantify inaccuracies in respect of both misalignment and geometric location within lungs. Results. The median bronchial branch point deviations were 1.6, 1.1 and 4.2 (mm) for the three tested algorithms (Demons, B-spline and Affine). The maximum deviations (> 15 mm) were found within both Demons and B-spline image registrations. In the upper part of the lungs the median deviation of 1.7 (mm) was significantly different (p < 0.02) relative to the median deviations of 2.0 (mm), found in the middle and lower parts of the lungs. The DSC revealed similar registration discrepancies among the three tested algorithms, with DSC values of 0.96, 0.97 and 0.91, for respectively Demons, B-spline and the Affine algorithms. Conclusion. Bronchial branch points were found useful to validate thoracic CT-CT image registration. Bronchial branch points identified local registration errors > 15 mm in both Demons and B-spline deformable algorithms.
Correlation between quantitative HER-2 protein expression and risk for brain metastases in HER-2+ advanced breast cancer patients receiving trastuzumab-containing therapy.

BACKGROUND Patients with human epidermal growth factor receptor (HER)-2+ breast cancer are at particularly high risk for brain metastases; however, the biological basis is not fully understood. Using a novel HER-2 assay, we investigated the correlation between quantitative HER-2 expression in primary breast cancers and the time to brain metastasis (TTBM) in HER-2+ advanced breast cancer patients treated with trastuzumab. METHODS The study group included 142 consecutive patients who were administered trastuzumab-based therapy for HER-2+ metastatic breast cancer. HER-2/neu gene copy number was quantified as the HER-2/centromeric probe for chromosome 17 (CEP17) ratio by central laboratory fluorescence in situ hybridization (FISH). HER-2 protein was quantified as total HER-2 protein expression (H2T) by the HERmark® assay (Monogram Biosciences, Inc., South San Francisco, CA) in formalin-fixed, paraffin-embedded tumor samples. HER-2 variables were correlated with clinical features and TTBM was measured from the initiation of trastuzumab-containing therapy. RESULTS A higher H2T level (continuous variable) was correlated with shorter TTBM, whereas HER-2 amplification by FISH and a continuous HER-2/CEP17 ratio were not predictive (p = .013, .28, and .25, respectively). In the subset of patients that was centrally determined by FISH to be HER-2+, an above-the-median H2T level was significantly associated with a shorter TTBM (hazard ratio, [HR], 2.4; p = .005), whereas this was not true for the median HER-2/CEP17 ratio by FISH (p = .4). Correlation between a continuous H2T level and TTBM was confirmed on multivariate analysis (HR, 3.3; p = .024). CONCLUSIONS These data reveal a strong relationship between the quantitative HER-2 protein expression level and the risk for brain relapse in HER-2+ advanced breast cancer patients. Consequently, quantitative assessment of HER-2 protein expression may inform and facilitate refinements in therapeutic treatment strategies for selected subpopulations of patients in this group.
Estimation de caractéristiques quelconques de la PDF à partir d'un signal IRM de diffusion

Nous presentons une methode d'estimation de caracteristiques variees de la probabilite de diffusion des molecules d'eau (carte d'anisotropie, orientation de diffusion, etc.), a partir d'un nombre reduit d'echantillons de signaux IRM de diffusion in-vivo. Ces caracteristiques permettent l'etude de la structure locale du tissu cerebral, dont la matiere blanche notamment. L'approche proposee est flexible quant a la caracteristique calculee et au nombre d'echantillons disponibles. Elle definit un formalisme generique qui unifie de nombreux travaux precedents lies a l'estimation des fonctions de densite probabilite (PDF) de deplacement en IRM de diffusion. Notre algorithme permet de reproduire les resultats deja connus des nombreuses methodes d'estimation de la litt'erature. Elle permet aussi d'estimer de nouvelles caracteristiques originales: vraie ODF, probabilite de non diffusion. Nous validons notre approche par une comparaison des resultats avec des methodes de la litterature sur des donnees in-vivo d'un cerveau humain acquises dans un intervalle de temps clinique.
Le modèle Inframétrique pour Internet

De nombreux algorithmes ont ete recemment concus pour l'Internet sous l'hypothese que la mesure du temps d'aller retour (RTT) est une distance. De plus, nombre de ces algorithmes (construction de reseau logique, conception de schema de routage compact, construction de couverture ayant peu d'aretes) reposent sur l'hypothese que la metrique d'Internet a une croissance de boule ou une dimension doublante bornee. Cet article etudie la validite de ces hypotheses et propose un modele formel et analysable qui correspond aux observations experimentales. La version complete de cet article est [2]: http://www.liafa. jussieu.fr/~elebhar/exposes/inframetric.pdf.
Comparison Between Lidar and Nephelometer Measurements of Aerosol Hygroscopicity at the Southern Great Plains Atmospheric Radiation Measurement Site

[1] Aerosol hygroscopicity has a significant effect on radiative properties of aerosols. Here a lidar method, applicable to cloud-capped, well-mixed atmospheric boundary layers, is employed to determine the hygroscopic growth factor f(RH) under unperturbed, ambient atmospheric conditions. The data used for the analysis were collected under a wide range of atmospheric aerosol levels during both routine measurement periods and during the intensive operations period (IOP) in May 2003 at the Southern Great Plains (SGP) Climate Research Facility in Oklahoma, USA, as part of the Atmospheric Radiation Measurement (ARM) program. There is a good correlation (∼0.7) between a lidar-derived growth factor (measured over the range 85% RH to 96% RH) with a nephelometer-derived growth factor measured over the RH range 40% to 85%. For these RH ranges, the slope of the lidar-derived growth curve is much steeper than that of the nephelometer-derived growth curve, reflecting the rapid increase in particle size with increasing RH. The results are corroborated by aerosol model calculations of lidar backscatter and nephelometer equivalent f(RH) based on in situ aerosol size and composition measurements during the IOP. It is suggested that the lidar method can provide useful measurements of the dependence of aerosol optical properties on relative humidity and under conditions closer to saturation than can currently be achieved with humidified nephelometers.
Identification of serum biomarkers for pancreatic adenocarcinoma by proteomic analysis

Diagnosis of pancreatic adenocarcinoma (PaCa) at an early stage is important for successful treatment and improving the prognosis of patients. Serum samples were applied to strong anionic exchange chromatography (SAX) protein chips for protein profiling by surface enhanced laser desorption/ionization time‐of‐flight mass spectrometry (SELDI‐TOF‐MS) to distinguish PaCa from noncancer. The Wilcoxon rank‐sum test, decision tree algorithm, and logistic regression were used to statistically analyze the multiple protein peaks. Sixty‐one protein peaks between 2000 and 30 000 m/z ratios were detected to establish multiple decision classification trees for differentiating the known disease states. A sensitivity of 0.833 and a specificity of 1.000 were obtained in distinguishing PaCa from healthy controls and benign pancreatic diseases. Six protein biomarkers related to different PaCa TNM stages were detected (P < 0.01). One protein biomarker (m/z 4016) rich in PaCa had a down‐regulated trend when preoperative and postoperative samples (P < 0.05) were compared. Three protein biomarkers (m/z 4155, 4791, and 28 068) were detected in the differential diagnosis of the three test groups (P < 0.05). A peak m/z 28 068 was identified as C14orf16 using ProteinChip immunoassay. C14orf166 levels were significantly higher in the serum of patients with PaCa compared with the control group using a sandwich immunoenzymatic system. Immunolabeling of tissue sections revealed that the C14orf166 protein was strongly expressed in tumor cells. The results suggest that SELDI‐TOF‐MS serum profiling is helpful for the diagnostic, prognostic or therapeutic effects of PaCa, which is superior to CA 19‐9. The identified protein biomarker C14orf166 is a potential biomarker of PaCa. (Cancer Sci 2009; 100: 2292–2301)
A low-cost energy efficient image scaling processor for multimedia applications

Image scaling is one of the widely used techniques in various portable devices to fit the image in their respective displays. Traditional image scaling architectures consume more power and hardware, making them inefficient for use in portable devices. In this paper, a low complexity image scaling algorithm is proposed. In the proposed algorithm, the target pixel is computed either by bilinear interpolation or by replication. The edge catching module in the architecture determines the method of computation which makes the design energy efficient. Further, algebraic manipulation is done and the resulting pipelined architecture shows significant reduction in hardware cost. In order to evaluate the efficacy, the proposed and existing algorithms are implemented in MATLAB and simulated using standard benchmark images. The proposed design is synthesized in Synopsys Design Compiler using 90-nm CMOS process which shows 43.3% reduced gate count and 25.9% reduction in energy over existing architectures without significant degradation in quality.
A study of accurate extraction of ESD parasitic capacitance

On-chip electrostatic discharge (ESD) protection are required for all ICs. Unfortunately, ESD-induced parasitic capacitance (CESD) will seriously affect performance of high-speed and RF ICs. Careful design balance of ESD protection level and minimizing ESD-induced circuit performance degradation has become a major design challenge for high-speed and RF ICs. This paper presents a comprehensive study on accurate extraction of parasitic capacitance for on-chip ESD structures. A new simple and accurate CESD-extraction technique is presented for practical IC designs, which was validated using RF, ring oscillator and I/O buffer circuit blocks implemented in a foundry 28nm CMOS technology.
But where's the evidence? The effect of explanatory corrections on inferences about false information

Research on the continued influence effect has consistently shown that people continue to rely on false causal information despite being corrected by more recent information. Corrections are most effective when paired with an alternative explanation that ‘fills the causal gap’ left by the correction. However, it may not always be possible provide an alternative explanation. Previous research suggests people more readily discount unreliable information. Two experiments examined whether corrections to false causal information in a news report are more effective when the correction explains why the source of the false information was unreliable. The results showed that a correction did not fully eliminate reliance on false information and that an explanatory correction was no more effective than a non-explanatory correction. People also continued to rely on false information when there was limited information to support its validity. Possible explanations for the ineffectiveness of explanatory corrections are discussed.
Immunoperoxidase Test for Rabies: Utility as a Diagnostic Test

Although a fast and reliable fluorescent antibody (FA) test for rabies diagnosis is available, ideally the diagnostic procedure requires fresh or frozen brain tissues. In some instances (and particularly for retrospective studies), fresh or frozen tissues may not be available. In such cases, immunohistochemical tests may be utilized. Because such tests have been used only in a limited number of cases, their diagnostic reliability has not been thoroughly evaluated. This study documents the results of a streptavidin-biotin complex (ABC) immunoperoxidase test on formalin-fixed, paraffin-embedded brain tissues of domestic and wild animals that were positive on FA test for rabies prior to fixation. Thirty-nine of 40 rabies cases were positive with the ABC technique. Based on these preliminary results, the ABC technique appears reliable. However, more corroborative test results are needed before the ABC method can be used as a routine diagnostic procedure, especially with field samples and negative controls.
Low-rank matrix decomposition with a spectral-spatial regularization for change detection in hyperspectral imagery

Change detection (CD) for multitemporal hyperspectral images (HSI) consists of two steps, change feature extraction and identification. This paper proposes a novel spectrally-spatially regularized low-rank and sparse decomposition model (LRSD_SS), to extract clean change features from corrupted spectral change vectors (SCV) of multitemporal HSI. It decomposes SCV into spatially smoothed low-rank data, sparse outliers and Gaussian noise. The experimental results validate the effectiveness and the efficiency of LRSD_SS.