Miracle-dz/UniFAR-FTUs huggingface dataset:
Alignment of Personality Is Associated With Increased Intraoperative Entrustment.

OBJECTIVE To determine the association between intraoperative entrustment and personality alignment. SUMMARY BACKGROUND DATA For surgical residents, achieving operative autonomy has become increasingly difficult. The impact of faculty-resident operative interactions in accomplishing this goal is not well understood. We hypothesized that if operative dyads (faculty and resident) had personality alignment or congruency, then resident entrustment in the operating room would increase. METHODS We completed a retrospective analysis of 63 operations performed from September 2015 to August 2016. Operations were scored using OpTrust, a validated tool that assesses progressive entrustment of responsibility to surgical residents in the operating room. All dyads were classified as having congruent or incongruent personality alignment as measured by promotion or prevention orientation using the regulatory focus questionnaire. The association between personality congruence and OpTrust scores was identified using multivariable linear regression. RESULTS A total of 35 congruent dyads and 28 incongruent dyads were identified. Congruent dyads had a higher percentage of "very difficult" cases (33.3 vs. 7.4%, P = 0.017), female residents (37.1 vs. 14.3%, P = 0.042) and faculty with fewer years of experience (10.4 vs. 14.8%, P = 0.028) than incongruent dyads. In addition to post-graduate year level, dyad congruency was independently associated with a 0.88 increase (95% CI [0.27-1.49], P = 0.006) in OpTrust scores (overall range 2-8), after adjusting for case difficulty, faculty experience, and post-graduate year. CONCLUSIONS Congruent operative dyads are associated with increased operative entrustment as demonstrated by increased OpTrust scores. Developing awareness and strategies for addressing incongruence in personality in the operative dyad is needed.
Regulatory effects of miRNA-181a on FasL expression in bone marrow mesenchymal stem cells and its effect on CD4+T lymphocyte apoptosis in estrogen deficiency-induced osteoporosis

Post-menopausal osteoporosis is a bone formation disorder induced by estrogen deficiency. Estrogen deficiency facilitates the differentiation and maturation of osteoclasts by activating T lymphocytes. In our previous study, it was demonstrated that estrogen promotes bone marrow mesenchymal stem cell (BMMSC)-induced osteoclast apoptosis through downregulation of microRNA (miR)-181a and subsequent Fas ligand (FasL) protein accumulation. In the present study, the regulatory effects of miR-181a on FasL expression in BMMSCs and the apoptotic effects of BMMSCs on cluster of differentiation (CD)4+T lymphocytes were investigated. An ovariectomized mouse model of osteoporosis (OVX) was established and CD4+T lymphocytes were isolated from the bones of these mice. The results demonstrated that the number of CD4+T lymphocytes was increased in the OVX group compared within the control group, thus suggesting that estrogen deficiency may increase CD4+T lymphocyte number. CD4+T lymphocytes were subsequently co-cultured with estrogen-treated BMMSCs, after which it was demonstrated that estrogen significantly promoted the apoptosis of CD4+T lymphocytes. Western blot analysis indicated that estrogen promoted the apoptosis of CD4+T lymphocytes through regulation of FasL expression in BMMSCs in a concentration-dependent manner. Finally, miR-181a was transfected into BMMSCs, which were co-cultured with CD4+T lymphocytes in vitro and in vivo. The results revealed that miR-181a exerted a negative regulatory effect on BMMSC-induced CD4+T lymphocyte apoptosis by regulating FasL protein expression in BMMSCs; this maybe a key mechanism underlying the development of estrogen deficiency-induced osteoporosis.
Clinical implications of umbilical artery Doppler changes after betamethasone administration†

Abstract Background: Betamethasone (BMZ) is commonly administered to patients with fetal growth restriction (FGR) and abnormal umbilical artery Doppler (UAD) velocimetry due to the increased risk of preterm delivery; however, the clinical impact of UAD changes after BMZ exposure is unknown. Objective: To test the hypothesis that lack of UAD improvement after BMZ administration is associated with shorter latency and greater neonatal morbidity in patients with FGR. Study design: This was a retrospective cohort study of pregnancies complicated by FGR and abnormal UAD between 240 and 336 weeks gestation. Abnormal UAD included the following categories of increasing severity: elevated (pulsatility index >95%), absent end diastolic flow (EDF), or reversed EDF improvement was defined as any improvement in category of UAD within two weeks of BMZ. Sustained improvement was defined as improvement until the last ultrasound before delivery, whereas transient improvement was considered as unsustained. The primary outcome was latency, defined as interval from betamethasone administration to delivery. Secondary outcomes were gestational age at delivery, umbilical artery pH, and a composite of neonatal morbidity (intubation, necrotizing enterocolitis, ionotropic support, intraventricular hemorrhage, total parenteral nutrition, neonatal death). Outcomes were compared between (a) patients with and without UAD improvement and (b) patients with sustained and unsustained improvement, using univariable, multivariable and time-to-event analyses. Results: Of the 222 FGR pregnancies with abnormal UAD, 94 received BMZ and had follow-up ultrasounds. UAD improved in 48 (51.1%), with 27 (56.3%) having sustained improvement. Patients with hypertension and drug use were less likely to have UAD improvement. Patients without UAD improvement had shorter latency (21.5 days [interquartile range (IQR) 8,45] versus 35 [IQR 22,61], p = . 02) and delivered at an earlier gestational age (34 weeks [IQR 31,36] versus 37 [IQR 33,37], p < .01) than those with improvement. There were no differences in umbilical artery pH between groups. Composite neonatal morbidity was higher in patients without UAD improvement, but this was not statistically significant after adjusting for confounders (aOR 2.0; 95% CI 0.08–5.1). There were no differences in outcomes between patients with sustained versus unsustained improvement. Conclusions: UAD improved in half of patients following BMZ. Lack of UAD improvement was associated with shorter latency and earlier gestational age at delivery, but no difference in composite neonatal morbidity. UAD response to BMZ may be useful to further risk stratify FGR pregnancies.
Phylogenetic studies in Genabea, Myrmecocystis, and related genera

ABSTRACT A multigene phylogenetic analysis of Genabea, Myrmecocystis, and related genera in Pyronemataceae was conducted to establish genetically supported generic limits. The nuc rDNA 28S gene, translation elongation factor 1-α gene (TEF1), and RNA polymerase II second-largest subunit gene (RPB2) significantly supported the monophyly of several distinct genera of hypogeous Pyronemataceae. The genetic identity of Genabea fragilis is established, and the new species Genabea hyalospora, G. urbana, Myrmecocystis mediterranea, and M. microspora are proposed to accommodate undescribed lineages. Two rare species, M. sphaerospora and M. spinospora, are tentatively identified based on collections that are morphologically similar to the original descriptions. The genus Genea was found to be monophyletic, except for G. cazaresii, which is nested among epigeous species of Humaria. The new combination Humaria cazaresii is proposed to accommodate this species.
Object detection and tracking in crowd environment — A review

Object recognition and event recognition are one of the most needed research topic which is booming among the image processing researchers. Due to the wide application of object tracking and detecting the there is a need to know the existing. There is an increasing desire among the researchers to know the steps involved and the algorithms employed in this recognition procedure. The overview of this article is to have a glance at current developments in surveillance systems, their probability to access abnormal behaviour and identify human subject in various applications.
3D bioprinter applied picosecond pulsed electric fields for targeted manipulation of proliferation and lineage specific gene expression in neural stem cells

Objective. Picosecond pulse electric fields (psPEF) have the potential to elicit functional changes in mammalian cells in a non-contact manner. Such electro-manipulation of pluripotent and multipotent cells could be a tool in both neural interface and tissue engineering. Here, we describe the potential of psPEF in directing neural stem cells (NSCs) gene expression, metabolism, and proliferation. As a comparison mesenchymal stem cells (MSCs) were also tested. Approach. A psPEF electrode was anchored on a customized commercially available 3D printer, which allowed us to deliver pulses with high spatial precision and systematically control the electrode position in three-axes. When the electrodes are continuously energized and their position is shifted by the 3D printer, large numbers of cells on a surface can be exposed to a uniform psPEF. With two electric field strengths (20 and 40 kV cm−1), cell responses, including cell viability, proliferation, and gene expression assays, were quantified and analyzed. Main results. Analysis revealed both NSCs and MSCs showed no significant cell death after treatments. Both cell types exhibited an increased metabolic reduction; however, the response rate for MSCs was sensitive to the change of electric field strength, but for NSCs, it appeared independent of electric field strength. The change in proliferation rate was cell-type specific. MSCs underwent no significant change in proliferation whereas NSCs exhibited an electric field dependent response with the higher electric field producing less proliferation. Further, NSCs showed an upregulation of glial fibrillary acidic protein (GFAP) after 24 h to 40 kV cm−1, which is characteristic of astrocyte specific differentiation. Significance. Changes in cell metabolism, proliferation, and gene expression after picosecond pulsed electric field exposure are cell type specific.
A comprehensive comparison of simple step counting techniques using wrist- and ankle-mounted accelerometer and gyroscope signals

Abstract The goal of this work is to compare the differences between various step counting algorithms using both accelerometer and gyroscope measurements from wrist and ankle-mounted sensors. Participants completed four different conditions on a treadmill while wearing an accelerometer and gyroscope on the wrist and the ankle. Three different step counting techniques were applied to the data from each sensor type and mounting location. It was determined that using gyroscope measurements allowed for better performance than the typically used accelerometers, and that ankle-mounted sensors provided better performance than those mounted on the wrist.
Comprehensive gait analysis of healthy older people: unveiling reasons for lack of long-distance walking

Many older adults do not adhere to the recommended physical activity levels. This study examines the gait changes upon long-distance walking among healthy older adults. Gait tests of 24 adults aged 65 or more were conducted at the baseline, at the end of 30 and 60 minutes of treadmill walk. Spatial temporal, kinematic and kinetic gait data were computed. Perceived level of exertion was evaluated for each subject. Ten subjects (Group B) perceived higher exertion level than the remaining fourteen subjects (Group A). After walking, group B had significant reductions in dominant-side ankle joint range of motion and power, suggesting lower-leg muscle fatigue, which appeared to be compensated by significantly increased non-dominant side knee and hip motions. These changes were not observed in Group A. Differences in gait parameters between Group A and B implied that some biomechanical factors might contribute to the lack of walking of some older adults.
M-PAM Joint Optimal Waveform Design for Multiuser VLC Systems Over ISI Channels

Visible light communication is a candidate technique to provide high-speed data transmissions. This paper proposes a joint optimal waveform design algorithm for visible light communication systems using $M$-ary pulse amplitude modulation to support multiple users. Transmitted waveforms and minimum mean squared error filters are jointly optimized to minimize the intersymbol and multiple access interferences. Based on different channel conditions, the designed waveforms and modulation constellation sizes can be adaptively adjusted to guarantee the highest bit rates. Channel uncertainty is also considered in this paper. Compared with optical code division multiple access and time division multiple access, the algorithm proposed can provide higher bit rates. In addition, the proposed algorithm can flexibly adjust the illumination level by changing the optimization constraints. An offline waveform design algorithm is then proposed to diminish the optimization computation time. A waveform lookup table can be established offline in advance, and the proper waveforms can be selected from the table based on the actual channel gains in real time. The performance of the offline algorithm can be estimated by using the channel uncertainty model.
Estimating Clustering Coefficient via Random Walk on MapReduce

Clustering coefficient plays an important role in many real-world applications, such as social network analysis and community mining. However, it is expensive to compute exact clustering coefficient for large networks. In many real-world applications, estimating clustering coefficient via random walk method is preferable because it is efficient and accurate. MapReduce is a popular distributed programming framework for processing large datasets. In this paper, we propose an algorithm on MapReduce framework to estimate clustering coefficient based on random walk method. Experiments on a Hadoop cluster for large real-world graphs demonstrate that the proposed algorithm is accurate and efficient. Comparing to Doubling algorithm, a state-of-the-art distributed algorithm to implement random walk on MapReduce, the proposed algorithm runs much faster. The proposed algorithm also reduces I/O cost efficiently.
Target-Based Screening against eIF4A1 Reveals the Marine Natural Product Elatol as a Novel Inhibitor of Translation Initiation with In Vivo Antitumor Activity

Purpose: The DEAD-box RNA helicase eIF4A1 carries out the key enzymatic step of cap-dependent translation initiation and is a well-established target for cancer therapy, but no drug against it has entered evaluation in patients. We identified and characterized a natural compound with broad antitumor activities that emerged from the first target-based screen to identify novel eIF4A1 inhibitors. Experimental Design: We tested potency and specificity of the marine compound elatol versus eIF4A1 ATPase activity. We also assessed eIF4A1 helicase inhibition, binding between the compound and the target including binding site mutagenesis, and extensive mechanistic studies in cells. Finally, we determined maximum tolerated dosing in vivo and assessed activity against xenografted tumors. Results: We found elatol is a specific inhibitor of ATP hydrolysis by eIF4A1 in vitro with broad activity against multiple tumor types. The compound inhibits eIF4A1 helicase activity and binds the target with unexpected 2:1 stoichiometry at key sites in its helicase core. Sensitive tumor cells suffer acute loss of translationally regulated proteins, leading to growth arrest and apoptosis. In contrast to other eIF4A1 inhibitors, elatol induces markers of an integrated stress response, likely an off-target effect, but these effects do not mediate its cytotoxic activities. Elatol is less potent in vitro than the well-studied eIF4A1 inhibitor silvestrol but is tolerated in vivo at approximately 100× relative dosing, leading to significant activity against lymphoma xenografts. Conclusions: Elatol's identification as an eIF4A1 inhibitor with in vivo antitumor activities provides proof of principle for target-based screening against this highly promising target for cancer therapy. Clin Cancer Res; 24(17); 4256–70. ©2018 AACR.
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Recognizing named entities in a document is a key task in many NLP applications. Although current state-of-the-art approaches to this task reach a high performance on clean text (e.g. newswire genres), those algorithms dramatically degrade when they are moved to noisy environments such as social media domains. We present two systems that address the challenges of processing social media data using character-level phonetics and phonology, word embeddings, and Part-of-Speech tags as features. The first model is a multitask end-to-end Bidirectional Long Short-Term Memory (BLSTM)-Conditional Random Field (CRF) network whose output layer contains two CRF classifiers. The second model uses a multitask BLSTM network as feature extractor that transfers the learning to a CRF classifier for the final prediction. Our systems outperform the current F1 scores of the state of the art on the Workshop on Noisy User-generated Text 2017 dataset by 2.45% and 3.69%, establishing a more suitable approach for social media environments.
THE ROLE OF ECONOMIC FACTORS AND ECONOMIC SUPPORT IN PREVENTING AND ESCAPING FROM INTIMATE PARTNER VIOLENCE.

Intimate partner violence (IPV) includes physical violence, sexual violence, threats of physical or sexual violence, stalking, and psychological aggression by a current or former intimate partner (Saltzman et al., 2002). An ecological framework (Dahlberg & Krug, 2002) is often used to organize risk factors for IPV at the individual, relationship, community, and societal levels. Individual risk factors include basic demographic factors such as younger age, low income, unemployment, and low academic achievement; a history of childhood aggressive behavior and violence in the family of origin; cognitive factors, such as attitudes condoning violence and traditional sex role beliefs; psychosocial and emotional factors, such as anger and hostility, poor impulse control, low self-esteem, career and life stress, emotional dependence, depressive symptoms, and evidence of personality disorders; and other risk behaviors such as alcohol and drug use. Relationship factors include relationship conflict and discord and social isolation. Community and society risk factors include poverty, the absence of legal or social sanctions against IPV, and social norms supportive of IPV (Valle et al., 2008).
Energy efficient human activity recognition using wearable sensors

Computational and power efficiency is one of the crucial enabling factors to wearable device based human activity recognition (HAR) system. However, limited research efforts in literature have been available toward reducing theses costs without loss of accuracy. In this paper, we propose an improved random forest (RF) based HAR system for elderly-care. The system extracts three kinds of pairwise correlation features in hybrid sliding windows, and uses location information to enhance the recognition performance. A mutual information based feature selection is adopted to optimize the recognition of confused local set of activities. A new random feature selection strategy for each node in RF enables the proposed system to reduce the number of trees while maintaining the recognition accuracy. Numerical experiments show that the proposed method can predict 10 types of activities with 93.01% accuracy and 74.9% reduction of energy consumption. Furthermore, the fall detection accuracy in this proposed system can reach up to 99%.
Cancer Immunotherapy and the Immune Response in Hodgkin Lymphoma

Patients with classical Hodgkin lymphoma (cHL) have an impaired cellular immune response as indicated by an anergic reaction against standard recall antigens and a diminished rejection reaction of allogeneic skin transplant. This clinical observation can be linked to the histopathological feature of cHL since the typical pattern of a cHL manifestation is characterized by sparse large CD30+ tumor-infiltrating Hodgkin–Reed–Sternberg (HRS) cells that are surrounded by a dense inflammatory immune microenvironment with mixed cellularity. Despite this extensive polymorphous inflammatory infiltrate, there is only a poor antitumor immune response seen to the neoplastic HRS cells. This is primarily mediated by a high expression of PD-L1 and PD-L2 ligands on the HRS cell surface which in turn antagonizes the activity of programmed death-1 (PD-1) antigen-positive T cells. PD-L1/L2 overexpression is caused by gene amplification at the 9p24.1 locus and/or latent Epstein–Barr virus infection present in around 40% of cHL cases. The blockade of the PD-L1/L2–PD-1 pathway by monoclonal antibodies can restore local T cell activity and leads to impressive tumor responses, some of which are long lasting and eventually curative. Another feature of HRS cells is the high CD30 antigen expression. Monoclonal antibody technology allowed for the successful development of CD30-specific immunotoxins, bispecific antibodies, and reprogrammed autologous T cells with the first one already approved for the treatment of high risk or relapsed cHL. Altogether, the discovery of the described pathomechanism of immune suppression and the identification of preferential target antigens has rendered cHL to be a prime subject for the successful development of new immunotherapeutic approaches.
Fabrication of a Corneal Model Composed of Corneal Epithelial and Endothelial Cells via a Collagen Vitrigel Membrane Functioned as an Acellular Stroma and Its Application to the Corneal Permeability Test of Chemicals

A collagen vitrigel membrane (CVM) we developed can function as both a scaffold for cells and a pathway for chemicals. To extrapolate the corneal permeability of chemicals in vivo, we proposed six corneal models using the CVM. Thin and thick CVMs were used as models for Bowman’s membrane (BM) and an acellular stroma (AS), respectively. Models for a corneal epithelium (CEpi), a CEpi-AS, a CEpi-endothelium (Endo), and a CEpi-AS-Endo were fabricated by culturing corneal epithelial cells and/or corneal endothelial cells on the surface of CVMs. Subsequently, the permeability coefficient (Papp) value of each model was calculated using five chemicals with different molecular radii; cyanocobalamin and four fluorescein isothiocyanate-dextrans (FD) (FD-4, FD-10, FD-20, and FD-40). The slopes of Papp versus molecular radii of those chemicals in the both BM and AS models were almost similar to data using an excised rabbit corneal stroma. The ratios of Papp values in models for BM, CEpi, and CEpi-Endo against those in data using an excised rabbit cornea were calculated as 75.4-fold, 6.4-fold, and 4.5-fold for FD-4, and 38.7-fold, 10.0-fold, and 4.2-fold for FD-10, respectively. Similarly, those in models for AS, CEpi-AS, and CEpi-AS-Endo were calculated as 26.1-fold, 2.5-fold, and 0.6-fold for FD-4, and 26.1-fold, 1.5-fold, and 0.6-fold for FD-10, respectively. These results suggest that the CEpi-AS-Endo model with both the barrier function of corneal cell layers and the diffusion capacity of chemicals in thick CVM is most appropriate for extrapolating the corneal permeability of chemicals in vivo.