Multi-Layer Dense Attention Decoder for Polyp Segmentation

Detecting and segmenting polyps is crucial for expediting the diagnosis of colon cancer. This is a challenging task due to the large variations of polyps in color, texture, and lighting conditions, along with subtle differences between the polyp and its surrounding area. Recently, vision Transformers have shown robust abilities in modeling global context for polyp segmentation. However, they face two major limitations: the inability to learn local relations among multi-level layers and inadequate feature aggregation in the decoder. To address these issues, we propose a novel decoder architecture aimed at hierarchically aggregating locally enhanced multi-level dense features. Specifically, we introduce a novel module named Dense Attention Gate (DAG), which adaptively fuses all previous layers' features to establish local feature relations among all layers. Furthermore, we propose a novel nested decoder architecture that hierarchically aggregates decoder features, thereby enhancing semantic features. We incorporate our novel dense decoder with the PVT backbone network and conduct evaluations on five polyp segmentation datasets: Kvasir, CVC-300, CVC-ColonDB, CVC-ClinicDB, and ETIS. Our experiments and comparisons with nine competing segmentation models demonstrate that the proposed architecture achieves state-of-the-art performance and outperforms the previous models on four datasets. The source code is available at: https://github.com/krushi1992/Dense-Decoder

Enhancing Travel Decision-Making: A Contrastive Learning Approach for Personalized Review Rankings in Accommodations

User-generated reviews significantly influence consumer decisions, particularly in the travel domain when selecting accommodations. This paper contribution comprising two main elements. Firstly, we present a novel dataset of authentic guest reviews sourced from a prominent online travel platform, totaling over two million reviews from 50,000 distinct accommodations. Secondly, we propose an innovative approach for personalized review ranking. Our method employs contrastive learning to intricately capture the relationship between a review and the contextual information of its respective reviewer. Through a comprehensive experimental study, we demonstrate that our approach surpasses several baselines across all reported metrics. Augmented by a comparative analysis, we showcase the efficacy of our method in elevating personalized review ranking. The implications of our research extend beyond the travel domain, with potential applications in other sectors where personalized review ranking is paramount, such as online e-commerce platforms

Age-related differences in saccadic indices of top-down guidance via short-term memory during visual search

Aging has been associated with significant declines in the speed and accuracy of 3 visual search. These effects have been attributed partly to low-level (bottom-up) factors 4 including reductions in sensory acuity and general processing speed. Aging is also 5 associated with changes in top-down attentional control, but the impact of these on 6 search is less well understood. The current study investigated age-related differences in 7 top-down attentional control by comparing the speed and accuracy of saccadic sampling 8 in the presence and absence of top-down information about target color in young (YA) 9 and older (OA) observers. Displays contained an equal number of red and blue Landholt 10 stimuli. Targets were distinguished from distractors by a unique orientation and 11 observers reported the direction of the target’s gap on each trial. Single-target cues 12 signaled the color of the target with 100% validity. Dual-target cues indicated the target 13 could be present in either colored subgroup. The results revealed reliable group 14 differences in the benefits associated with top-down information on single- compared to 15 dual-target cues. On single-target searches, OA made significantly more saccades than YA 16 to stimuli in the uncued color subset. Single-target cues also produced a smaller 17 advantage in the time taken to fixate the target in OA compared to YA. These results 18 support an age-related decline in observers’ use of top-down information to restrict 19 sequences of saccades to a task-relevant subset of objects during visual searc

Intracranial electrophysiological recordings on a swine model of mesial temporal lobe epilepsy

ObjectiveTo test the feasibility and reliability of intracranial electrophysiological recordings in an acute status epilepticus model on laboratory swine.MethodIntrahippocampal injection of kainic acid (KA) was performed on 17 male Bama pigs (Sus scrofa domestica) weighing between 25 and 35 kg. Two stereoelectroencephalography (SEEG) electrodes with a total of 16 channels were implanted bilaterally along the sensorimotor cortex to the hippocampus. Brain electrical activity was recorded 2 h daily for 9–28 days. Three KA dosages were tested to evaluate the quantities capable of evoking status epilepticus. Local field potentials (LFPs) were recorded and compared before and after the KA injection. We quantified the epileptic patterns, including the interictal spikes, seizures, and high-frequency oscillations (HFOs), up to 4 weeks after the KA injection. Test–retest reliability using intraclass correlation coefficients (ICCs) were performed on interictal HFO rates to evaluate the recording stability of this model.ResultsThe KA dosage test suggested that a 10 μl (1.0 μg/μl) intrahippocampal injection could successfully evoke status epilepticus lasting from 4 to 12 h. At this dosage, eight pigs (50% of total) had prolonged epileptic events (tonic-chronic seizures + interictal spikes n = 5, interictal spikes alone n = 3) in the later 4 weeks of the video-SEEG recording period. Four pigs (25% of total) had no epileptic activities, and another four (25%) had lost the cap or did not complete the experiments. Animals that showed epileptiform events were grouped as E + (n = 8) and the four animals showing no signs of epileptic events were grouped as E– (n = 4). A total of 46 electrophysiological seizures were captured in the 4-week post-KA period from 4 E + animals, with the earliest onset on day 9. The seizure durations ranged from 12 to 45 s. A significant increase of hippocampal HFOs rate (num/min) was observed in the E+ group during the post-KA period (weeks 1, 2,4, p < 0.05) compared to the baseline. But the E-showed no change or a decrease (in week 2, p = 0.43) compared to their baseline rate. The between-group comparison showed much higher HFO rates in E + vs. E – (F = 35, p < 0.01). The high ICC value [ICC (1, k) = 0.81, p < 0.05] quantified from the HFO rate suggested that this model had a stable measurement of HFOs during the four-week post-KA periods.SignificanceThis study measured intracranial electrophysiological activity in a swine model of KA-induced mesial temporal lobe epilepsy (mTLE). Using the clinical SEEG electrode, we distinguished abnormal EEG patterns in the swine brain. The high test–retest reliability of HFO rates in the post-KA period suggests the utility of this model for studying mechanisms of epileptogenesis. The use of swine may provide satisfactory translational value for clinical epilepsy research

UPPRESSO: Untraceable and Unlinkable Privacy-PREserving Single Sign-On Services

Single sign-on (SSO) allows a user to maintain only the credential at the identity provider (IdP), to login to numerous RPs. However, SSO introduces extra privacy threats, compared with traditional authentication mechanisms, as (a) the IdP could track all RPs which a user is visiting, and (b) collusive RPs could learn a user's online profile by linking his identities across these RPs. This paper proposes a privacypreserving SSO system, called UPPRESSO, to protect a user's login activities against both the curious IdP and collusive RPs. We analyze the identity dilemma between the security requirements and these privacy concerns, and convert the SSO privacy problems into an identity transformation challenge. In each login instance, an ephemeral pseudo-identity (denoted as PID_RP ) of the RP, is firstly negotiated between the user and the RP. PID_RP is sent to the IdP and designated in the identity token, so the IdP is not aware of the visited RP. Meanwhile, PID_RP is used by the IdP to transform the permanent user identity ID_U into an ephemeral user pseudo-identity (denoted as PID_U ) in the identity token. On receiving the identity token, the RP transforms PID_U into a permanent account (denoted as Acct) of the user, by an ephemeral trapdoor in the negotiation. Given a user, the account at each RP is unique and different from ID_U, so collusive RPs cannot link his identities across these RPs. We build the UPPRESSO prototype on top of MITREid Connect, an open-source implementation of OIDC. The extensive evaluation shows that UPPRESSO fulfills the requirements of both security and privacy and introduces reasonable overheads

Short-Chain Fatty Acids Manifest Stimulative and Protective Effects on Intestinal Barrier Function Through the Inhibition of NLRP3 Inflammasome and Autophagy

Background/Aims: Short-chain fatty acids (SCFAs) are the major energy resources of intestinal epithelial cells. It has been reported that SCFAs can repair the dysfunction of intestinal barrier, however, the underlying mechanisms are still not fully understood. Here, we investigated the stimulative and protective effects of SCFAs on intestinal barrier function and the possible mechanisms. Methods: To investigate the effects of SCFAs on intestinal barrier function, the Caco-2 monolayers were exposed to acetate, propionate, butyrate respectively or simultaneously without or with lipopolysaccharide (LPS). Next, Caco-2 cells were treated with trichostatin A and etomoxir to identify whether SCFAs act as HDAC inhibitors or energy substances. To activate NLRP3 inflammasome and autophagy, Caco-2 cells were treated with LPS+ATP and rapamycin respectively without or with SCFAs. The transepithelial electrical resistance (TER) and paracellular permeability were respectively detected with a Millicell-ERS voltohmmeter and fluorescein isothiocyanate-labeled dextran. Immunoblotting and immunofluorescence were applied to analyze the expression and distribution of tight junction proteins, and the activation of NLRP3 inflammasome and autophagy. Results: Acetate (0.5mM), propionate(0.01mM) and butyrate (0.01mM) alone or in combination significantly increased TER, and stimulated the formation of tight junction. SCFAs also dramatically attenuated the LPS-induced TER reduction and paracellular permeability increase, accompanying significantly alleviated morphological disruption of ZO-1 and occludin. Meanwhile, the activation of NLRP3 inflammasome and autophagy induced by LPS were significantly inhibited by SCFAs. Trichostatin A imitated the inhibiting action of SCFAs on NLRP3 inflammasome, whereas etomoxir blocked the action of SCFAs on protecting intestinal barrier and inhibiting autophagy. In addition, the activation of autophagy and NLRP3 inflammasome by rapamycin and LPS+ATP resulted in TER reduction, paracellular permeability increase and morphological disruption of both ZO-1 and occludin, which was alleviated by SCFAs. Conclusion: It is suggested that SCFAs stimulate the formation of intestinal barrier, and protect the intestinal barrier from the disruption of LPS through inhibiting NLRP3 inflammasome and autophagy. In addition, SCFAs act as energy substances to protect intestinal barrier and inhibit autophagy, but act as HDAC inhibitors to suppress NLRP3 inflammasome. Furthermore, the mutual promoting action between NLRP3 inflammasome and autophagy would destroy intestinal barrier function, which could be alleviated by SCFAs

Chinese Medicines for Preventing and Treating Radiation-Induced Pulmonary Injury: Still a Long Way to Go

Thoracic radiotherapy is a mainstay of the treatment for lung, esophageal, and breast cancers. Radiation-induced pulmonary injury (RIPI) is a common side effect of thoracic radiotherapy, which may limit the radiotherapy dose and compromise the treatment results. However, the current strategies for RIPI are not satisfactory and may induce other side effects. Chinese medicines (CMs) have been used for more than a thousand years to treat a wide range of diseases, including lung disorders. In this review, we screened the literature from 2007 to 2017 in different online databases, including China National Knowledge Infrastructure (CNKI), Chongqing VIP, Wanfang, and PubMed; summarized the effectiveness of CMs in preventing and treating RIPI; explored the most frequently used drugs; and aimed to provide insights into potential CMs for RIPI. Altogether, CMs attenuated the risk of RIPI with an occurrence rate of 11.37% vs. 27.78% (P < 0.001) compared with the control groups. We also found that CMs (alone and combined with Western medical treatment) for treating RIPI exerted a higher efficacy rate than that of the control groups (78.33% vs. 28.09%, P < 0.001). In the screened literature, 38 CMs were used for the prevention and treatment of RIPI. The top five most frequently used CMs were Astragali Radix (with a frequency of 8.47%), Ophiopogonis Radix (with a frequency of 6.78%), Glycyrrhizae Radix et Rhizome (with a frequency of 5.08%), Paeoniae Radix Rubra (with a frequency of 5.08%), and Prunellae Spica (with a frequency of 5.08%). However, further high-quality investigations in CM source, pharmacological effects and underlying mechanisms, toxicological aspects, and ethical issues are warranted. Taken together, CMs might have a potential role in RIPI prevention and treatment and still have a long way to investigate

Research of Surfactant-polymer Flooding Response Characteristic and Mobility Optimization of J Oilfield in Bohai Bay

Surfactant-polymer flooding technology which used in J oilfield is still the first time in Bohai bay, the reference materials are very seldom for its response characteristic and project optimization. Since there’s no blank water flooding stage between polymer flooding and surfactant-polymer flooding in J oilfield, it’s difficult to accurately judge the response characteristic of production wells and injection wells by the conventional method; on the other side, as surfactant-polymer flooding gradually entered the end stage, the effect of decrease water and increase oil became worse, there’s urgently need to improve the effect of chemical flooding. Thus, the research of response characteristic and mobility optimization are conducted in this article. The water cut funnel method is used for the first time to recognize the response of the production wells in J oilfield, and to use the Hall curve method to recognize the response of the injection wells. Meanwhile, based on the idea of mobility control, the minimum polymer concentration which is needed to control the mobility of surfactant-polymer flooding is studied, and establish the mobility control template, the effect of the surfactant-polymer flooding is improved effectively by use of the template to guide the optimization of the polymer concentration, and daily production increase about 15% of J oilfield. The research can be used to guide and refer to other similar offshore oilfield development