Miracle-dz/UniFAR-FTUs huggingface dataset:
Continued versus discontinued oxytocin after the active phase of labor: An updated systematic review and meta-analysis

Objective To systematically assess the effect of discontinued vs continued oxytocin after active stage of labour is established. Methods Pubmed, Embase, and the Cochrane Library were systematically searched to 18 April 2021. The risk ratio or mean difference with corresponding 95% confidence interval were computed to investigate the effect of intervention or control on maternal and fetus outcomes. This review was registered in the International Prospective Register of Systematic Reviews: CRD42021249635. Results Discontinuing oxytocin when the active labour was established might decrease the risk of cesarean delivery [RR (95% CI): 0.84 (0.72–0.98), P = 0.02]. However, when we restricted our analysis to women who performed cesarean section after the active phase was reached, the difference was no longer significant [RR (95% CI): 0.82 (0.60–1.10), P = 0.19]. The incidence of uterine tachysystole [RR (95% CI): 0.36 (0.27–0.49)], postpartum hemorrhage [RR (95% CI): 0.78 (0.65–0.93)], and non-reassuring fetal heart rate [RR (95% CI): 0.66 (0.58–0.76)] were significantly lower in the oxytocin discontinuation group. We also found a possible decrease in the risk of chorioamnionitis in discontinued oxytocin group [RR (95% CI): 2.77 (1.02–5.08)]. An increased duration of active [MD (95% CI): 2.28 (2.86–41.71)] and second [MD (95% CI): 5.36 (3.18–7.54)] phase of labour was observed in discontinued oxytocin group, while the total delivery time was not significantly different [MD (95% CI): 20.17 (-24.92–65.26)]. Conclusion After the active labor is reached, discontinuation of oxytocin could be considered a new recommendation for the improved maternal and fetal outcomes without delaying labour.
A Stereocontrolled Total Synthesis of Lipoxin B4 and its Biological Activity as a Pro-Resolving Lipid Mediator of Neuroinflammation.

Two stereocontrolled, efficient, and modular syntheses of eicosanoid lipoxin B4 (LXB4) are reported. One features a stereoselective reduction followed by an asymmetric epoxidation sequence to set the vicinal diol stereocentres. The dienyne was installed via a one-pot Wittig olefination and base-mediated epoxide ring opening cascade. The other approach installed the diol through an asymmetric dihydroxylation reaction followed by a Horner-Wadsworth-Emmons olefination to afford the common dienyne intermediate. Finally, a Sonogashira coupling and an alkyne hydrosilylation/proto-desilylation protocol furnished LXB4 in 25% overall yield in just 10 steps. For the first time, LXB4 has been fully characterized spectroscopically with its structure confirmed as previously reported. We have demonstrated that the synthesized LXB4 showed similar biological activity to commercial sources in a cellular neuroprotection model. This synthetic route can be employed to synthesize large quantities of LXB4 , enable synthesis of new analogs, and chemical probes for receptor and pathway characterization.
Design of wideband filtering power divider with high selectivity and good isolation

A new microstrip wideband filtering power divider (FPD) is presented. By selecting proper coupling topology between a λ/4 short-ended microstrip transmission line and two multimode resonators, a wideband FPD is initially constructed. Meanwhile, by wisely introducing an isolation resistor between the resonators, good port-to-port isolation of the FPD is obtained. For validation, one prototype wideband FPD operating at 2.24 GHz with the fractional bandwidth of 32.1% is designed, fabricated, and measured. Results indicate that the presented FPD exhibits not only a high-frequency selectivity performance with the help of two out-of-band transmission zeros, but also better than 22.5 dB isolation within the entire operation band.
Effect of quiescence on development and epigenetic status of cloned embryos

Quiescence affects development to term of cloned embryos. There are suggestions that developmental potential of cloned embryos and changes in their epigenetic status may be correlated. This project aimed at finding a well-characterised model of cell quiescence and use it to investigate effects of quiescence on epigenetic status of cloned embryos. Different synchronization methods were used to synchronize Mouse Foetal fibroblasts in GO and Gi. Specific positive (p130, p27) and negative markers of quiescence (FITC) were used to characterise cells. Serum starvation was the best method to synchronize cells in GO, whereas incubation for 24h with 4mM hydroxyurea or 800uM mimosine, was used to synchronize cells in Gi. However, Mouse Foetal Fibroblasts did not represent a good model of quiescence. Serum starvation and synchronization with mimosine and hydroxyurea produced mixed populations of diploid (2N) and tetraploid cells (4N). Furthermore, serum starvation produced a mixed population of quiescent and non-quiescent cells. T-lymphocytes were used as an alternative model of cell quiescence and Interleukin-2 receptor a or CD25 was used as a negative marker of quiescence. Synchronization in GI was obtained by activation for 24h with 8ug/ml phythoemagglutinin and 4nM IL-2 in the presence of 1mM hydroxyurea, and subsequent selection of CD25 cells by magnetic cell sorting. In the GI population >90% cells were diploid and non-quiescent (CD25 4 ). Freshly isolated T-lymphocytes were synchronized in GO, with >90% of the cells being diploid and quiescent (CD25). Comparison of well-characterised quiescent and non-quiescent T-cell populations showed that quiescence has great effects on sub-nuclear localisation of nonhistone proteins and post-translational histone modifications. Proteins of the Heterochromatin 1 (HP1) family are non-histone proteins that colocalise with pericentromeric heterochromatin and non-constitutive chromatin so changes in their distribution associate with changes in chromatin organisation. Immunolocalisation studies of HP1 proteins showed that all three isoforms, M31IhHPfl3, mHPlcdhHPla, M32/hHPly, had a condensed distribution in quiescent nuclei and became dispersed in non-quiescent cells. Changes in M31 distribution were the most consistent and were
Intellectual disability-associated disruption of O-GlcNAc cycling impairs habituation learning in Drosophila

O-GlcNAcylation is a reversible co-/post-translational modification involved in a multitude of cellular processes. The addition and removal of the O-GlcNAc modification is controlled by two conserved enzymes, O-GlcNAc transferase (OGT) and O-GlcNAc hydrolase (OGA). Mutations in OGT have recently been discovered to cause a novel Congenital Disorder of Glycosylation (OGT-CDG) that is characterized by intellectual disability. The mechanisms by which OGT-CDG mutations affect cognition remain unclear. We manipulated O-GlcNAc transferase and O-GlcNAc hydrolase activity in Drosophila and demonstrate an important role of O-GlcNAcylation in habituation learning and synaptic development at the larval neuromuscular junction. Introduction of patient-specific missense mutations into Drosophila O-GlcNAc transferase using CRISPR/Cas9 gene editing leads to deficits in locomotor function and habituation learning. The habituation deficit can be corrected by blocking O-GlcNAc hydrolysis, indicating that OGT-CDG mutations affect cognition-relevant habituation via reduced protein O-GlcNAcylation. This study establishes a critical role for O-GlcNAc cycling and disrupted O-GlcNAc transferase activity in cognitive dysfunction, and suggests that blocking O-GlcNAc hydrolysis is a potential strategy to treat OGT-CDG.
The association of momentary sad moods, concurrent productive behaviour, and global functional outcomes: a 30-day ecological momentary assessment study of people with bipolar illness

ABSTRACT Background Previous weekly sampling studies found that persistent sad moods are associated with disability in bipolar illness. However, those data were collected retrospectively. We examined the momentary quality of activities (productive, unproductive, and passive recreation) in an ecological momentary assessment (EMA) study and related sadness at each survey to quality of momentary activities and overall everyday functioning. Methods Participants with bipolar illness (N = 91) were sampled three times per day for 30 days. Each survey queried participants as to where they were, with whom, what they were doing, and their mood state. Activities were characterised according to predetermined criteria and related to momentary sadness. Observer ratings of everyday functioning were related to daily reports of sadness and activities. Results Sadness was associated with the quality of activities. Momentary reports of unproductive activities were associated with the most sadness (p < .001), followed by passive recreation, and productive activities. Momentary sadness and momentary unproductive activities correlated with observer ratings of competence in work, everyday activities, and social outcomes (p < .001). Using both predictors led to the best model. Conclusions This study on the course of sad moods in people with bipolar illness to EMA found that momentary sadness correlatesdwith the quality of concurrent activities and that both sadness and the quality of everyday activities predicted observer ratings of everyday functioning. Although we cannot determine the causal direction, these findings support the hypothesis that momentary sadness leads to reductions in productive activities and impairments in everyday functioning.
Does the Internet Help the Unemployed Find Jobs?

This paper investigates whether using the Internet for job search helps unemployed workers find jobs. The self-selection of Internet job searchers is addressed by the instrumental variable (IV) estimation strategy. I isolate potentially exogenous variation in individuals’ Internet job search status by exploiting variation in adoption of the Internet across occupations. The fraction of unemployed workers using the Internet to search for jobs increased more rapidly in occupations with higher computer use rates before the introduction of the Internet. The analysis sample consists of unemployed workers from the September 1992 Basic Monthly Current Population Survey (CPS) and the December 1998, August 2000, and September 2001 CPS Computer and Internet Use Supplements. The unemployed workers are longitudinally matched with their employment outcomes from the subsequent CPS files. The panel structure of the CPS enables us to follow the individuals for up to subsequent 15 months. The IV results suggest that unemployed workers searching for jobs online are around 14 percentage points more likely to be employed during the 15 month follow-up period than unemployed workers who do not engage in Internet job search. This implies that using the Internet for job search raises the 15-month job finding rate by around 26 percent at the mean.
Optimal design of working mechanism in mechanical press based on software ADAMS

A method for analyzing multi-link mechanic system by a kind of computer aided design is discussed,the software ADAMS is applied to optimize working mechanism of mechanical press.A quite ideal object and resultant parameter are obtained to allow the optimal design of mechanical press by the aid of computer,providing a valuable reference to optimal design of the mechanism in actual mechanical press in engineering.
Technical characteristics of strapdown image seeker guidance

Technical characteristics and specifications of a platform seeker were analyzed, and the Line of Sight (LOS)angle, the test methods of scale factor and accuracy, and the guidance system structure of a strapdown seeker were researched. First, the strapdown optical seeker model was established and an extraction method for the angle of LOS was proposed based on the technical characteristics of the platform seeker. Then, the characteristics and test methods of the scale factor for the strapdown seeker were analyzed, and a steady-state Kalman filter was used to filter the angle of Body LOS(BLOS). Finally, the attitude + overload autopilot combined with integral approximation proportional guidance were used to simulate strapdown seeker guidance and its control system. Test and simulation results show that when the angle of BLOS for strapdown seeker is greater than 0.289 , the scale factor error is less than 7%, which meets the scale factor calculation results. Moreover, the strapdown seeker with the resolution of 0.0056 was less than the average variation of angle of BLOS to be 0.011 in one cycle, which meets the sampling update request and achieves the combating precision of 1 m of terminal guidance. These results demonstrate that large area array and high-resolution is an important guidance means of strapdown image seekers.
Assessment of the upshot of aflatoxin food and safety concerns on Iran's pistachio trade with gravity model

How food safety affects international trade is an important factor to be studied for low -income countries which continue to rely on agricultural exports. Iran, as the greatest pistachio exporter in the world, encounters a serious problem of aflatoxin contamination. This food safety shocks affected Iran’s income which has caused a lot of damages to the country’s economy. The paper estimates the effect of food safety concerns on Iran’s pistachio export during 1997 to 2006. Using a generalized gravity model, we find that food safety has significant effect on Iran’s pistachio export, beside other factors that have effect on pistachio trade. Based on our analysis, food safety regulations have a greater effect in the long run as against the short run. Programs aimed at reducing aflatoxin contamination of pistachio is a key recommendation for policy makers. The results of this study suggest that Iran pistachio growers would benefit from better marketing and increased food safety regulations to maintain its export market share in the world
Multimodal Representation Learning With Text and Images

In recent years, multimodal AI has seen an upward trend as researchers are inte-grating data of different types such as text, images, speech into modelling to get the best results. This project leverages multimodal AI and matrix factorization techniques for representation learning, on text and image data simultaneously, thereby employing the widely used techniques of Natural Language Processing (NLP) and Computer Vision. The learnt representations are evaluated using downstream classiﬁcation and regression tasks. The methodology adopted can be extended beyond the scope of this project as it uses Auto-Encoders for unsupervised representation learning.
Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset

Delirium occurs in about 80% cases in the Intensive Care Unit (ICU) and is associated with a longer hospital stay, increased mortality and other related issues. Delirium does not have any biomarker-based diagnosis and is commonly treated with antipsychotic drugs (APD). However, multiple studies have shown controversy over the eﬃcacy or safety of APD in treating delirium. Since randomized controlled trials (RCT) are costly and time-expensive, we aim to approach the research question of the eﬃcacy of APD in the treatment of delirium using retrospective cohort analysis. We plan to use the Causal inference framework to look for the underlying causal structure model, leveraging the availability of large observational data on ICU patients. To explore safety outcomes associated with APD, we aim to build a causal model for delirium in the ICU using large observational data sets connecting various covariates correlated with delirium. We utilized the MIMIC III database, an extensive electronic health records (EHR) dataset with 53,423 distinct hospital admissions. Our null hypothesis is: there is no signiﬁcant diﬀerence in outcomes for delirium patients under diﬀerent drug-group in the ICU. Through our exploratory, machine learning based and causal analysis, we had ﬁndings such as: mean length-of-stay and max length-of-stay is higher for patients in Haloperidol drug group, and haloperidol group has a higher rate of death in a year compared to other two-groups. Our generated causal model explicitly shows the functional relationships between diﬀerent covariates. For future work, we plan to do time-varying analysis on the dataset.
Queues with Delayed Information: Analyzing the Impact of the Choice Model Function

In this paper, we study queueing systems with delayed information that use a generalization of the multinomial logit choice model as its arrival process. Previous literature assumes that the functional form of the multinomial logit model is exponential. However, in this work we generalize this to different functional forms. In particular, we compute the critical delay and analyze how it depends on the choice of the functional form. We highlight how the functional form of the model can be interpreted as an exponential model where the exponential rate parameter is uncertain. Furthermore, the rate parameter distribution is given by the inverse Laplace–Stieltjes transform of the functional form when it exists. We perform numerous numerical experiments to confirm our theoretical insights.
Model-Based Deep Learning Receiver Design for Rate-Splitting Multiple Access

Effective and adaptive interference management is required in next generation wireless communication systems. To address this challenge, Rate-Splitting Multiple Access (RSMA), relying on multi-antenna rate-splitting (RS) at the transmitter and successive interference cancellation (SIC) at the receivers, has been intensively studied in recent years, albeit mostly under the assumption of perfect Channel State Information at the Receiver (CSIR) and ideal capacity-achieving modulation and coding schemes. To assess its practical performance, benefits, and limits under more realistic conditions, this work proposes a novel design for a practical RSMA receiver based on model-based deep learning (MBDL) methods, which aims to unite the simple structure of the conventional SIC receiver and the robustness and model agnosticism of deep learning techniques. The MBDL receiver is evaluated in terms of uncoded Symbol Error Rate (SER), throughput performance through Link-Level Simulations (LLS), and average training overhead. Also, a comparison with the SIC receiver, with perfect and imperfect CSIR, is given. Results reveal that the MBDL receiver outperforms by a significant margin the SIC receiver with imperfect CSIR, due to its ability to generate on demand non-linear symbol detection boundaries in a pure data-driven manner.
Numerical Method for Highly Non-linear Mean-reverting Asset Price Model with CEV-type Process

It is well documented from various empirical studies that the volatility process of an asset price dynamics is stochastic. This phenomenon called for a new approach to describing the random evolution of volatility through time with stochastic models. In this paper, we propose a mean-reverting theta-rho model for asset price dynamics where the volatility diﬀusion factor of this model follows a highly non-linear CEV-type process. Since this model lacks a closed-form formula, we construct a new truncated EM method to study it numerically under the Khasminskii-type condition. We justify that the truncated EM solutions can be used to evaluate a path-dependent ﬁnancial product.
Deep Video Harmonization with Color Mapping Consistency

Video harmonization aims to adjust the foreground of a composite video to make it compatible with the background. So far, video harmonization has only received limited attention and there is no public dataset for video harmonization. In this work, we construct a new video harmonization dataset HYouTube by adjusting the foreground of real videos to create synthetic composite videos. Moreover, we consider the temporal consistency in video harmonization task. Unlike previous works which establish the spatial correspondence, we design a novel framework based on the assumption of color mapping consistency, which leverages the color mapping of neighboring frames to refine the current frame. Extensive experiments on our HYouTube dataset prove the effectiveness of our proposed framework. Our dataset and code are available at https://github.com/bcmi/Video-Harmonization-Dataset-HYouTube.
A Position‐Free Path Integral for Homogeneous Slabs and Multiple Scattering on Smith Microfacets

We consider the problem of multiple scattering on Smith microfacets. This problem is equivalent to computing volumetric light transport in a homogeneous slab. Although the symmetry of the slab allows for significant simplification, fully analytic solutions are scarce and not general enough for most applications. Standard Monte Carlo simulation, although general, is expensive and leads to variance that must be dealt with.
Strain measurement and data processing method in complex stress state

This article particularly and completely deduced computing formula that can be used to calculate the measurement strains in plain stress state.The deduced course is distinct and the framework is precise.Moreover,it gave the computing formula on strain data processing of rectangular rosette.An example that used the formula to process the strain data in an important experimentation was provided in the end.It is very practical.
Joint Multisided Exposure Fairness for Recommendation

Prior research on exposure fairness in the context of recommender systems has focused mostly on disparities in the exposure of individual or groups of items to individual users of the system. The problem of how individual or groups of items may be systemically under or over exposed to groups of users, or even all users, has received relatively less attention. However, such systemic disparities in information exposure can result in observable social harms, such as withholding economic opportunities from historically marginalized groups (allocative harm) or amplifying gendered and racialized stereotypes (representational harm). Previously, Diaz et al. developed the expected exposure metric---that incorporates existing user browsing models that have previously been developed for information retrieval---to study fairness of content exposure to individual users. We extend their proposed framework to formalize a family of exposure fairness metrics that model the problem jointly from the perspective of both the consumers and producers. Specifically, we consider group attributes for both types of stakeholders to identify and mitigate fairness concerns that go beyond individual users and items towards more systemic biases in recommendation. Furthermore, we study and discuss the relationships between the different exposure fairness dimensions proposed in this paper, as well as demonstrate how stochastic ranking policies can be optimized towards said fairness goals.
S0-No-More: A Z-Wave NonceGet Denial of Service Attack utilizing included but offline NodeIDs

In this paper a vulnerability in the Z-Wave protocol speciﬁcation, especially in the S0 Z-Wave protocol is presented. Devices supporting this standard can be blocked (denial of service) through continuous S0 NonceGet requests. This way a whole network can be blocked if the attacked devices are Z-Wave network controller. This also e ﬀ ects S2 network controller as long as they support S0 NonceGet requests. As only a minimal amount of nonce requests (1 per 2 seconds) is required to conduct the attack it cannot be prevented by standard countermeasures against jamming.