Explore the vast range of titles available.

This paper presents the design of the LHCb trigger and its performance on data taken at the LHC in 2011. A principal goal of LHCb is to perform flavour physics measurements, and the trigger is designed to distinguish charm and beauty decays from the light quark background. Using a combination of lepton identification and measurements of the particles' transverse momenta the trigger selects particles originating from charm and beauty hadrons, which typically fly a finite distance before decaying. The trigger reduces the roughly 11\\,MHz of bunch-bunch crossings that contain at least one inelastic \\(pp\\) interaction to 3\\,kHz. This reduction takes place in two stages; the first stage is implemented in hardware and the second stage is a software application that runs on a large computer farm. A data-driven method is used to evaluate the performance of the trigger on several charm and beauty decay modes.

Emerging efficacy data have led to the emergency use authorization or approval of COVID-19 vaccines in several countries worldwide. Most trials of COVID-19 vaccines excluded patients with active malignancies, and thus data on the safety, tolerability and efficacy of the vaccines in patients with cancer are currently limited. Given the risk posed by the COVID-19 pandemic, decisions regarding the use of vaccines against COVID-19 in patients participating in trials of investigational anticancer therapies need to be addressed promptly. Patients should not have to choose between enrolling on oncology clinical trials and receiving a COVID-19 vaccine. Clinical trial sponsors, investigators and treating physicians need operational guidance on COVID-19 vaccination for patients with cancer who are currently enrolled or might seek to enrol in clinical trials. Considering the high morbidity and mortality from COVID-19 in patients with cancer, the benefits of vaccination are likely to far outweigh the risks of vaccine-related adverse events. Herein, we provide operational COVID-19 vaccine guidance for patients participating in oncology clinical trials. In our perspective, continued quality oncological care requires that patients with cancer, including those involved in trials, be prioritized for COVID-19 vaccination, which should not affect trial eligibility.Patients with cancer have a high risk of morbidity and mortality from COVID-19. The rapid development of COVID-19 vaccines has provided new hope of mitigating the disease. Herein, the COVID19 and Cancer Clinical Trials Working Group calls for prioritization of patients with cancer, importantly including those participating in oncology clinical trials, for COVID-19 vaccination. The authors also provide operational COVID-19 vaccine guidance for patients participating in oncology clinical trials.

In present days, the utilization of mobile edge computing (MEC) and Internet of Things (IoT) in mobile networks offers a bottleneck in the evolving technological requirements. Wireless Sensors Network (WSN) become an important component of the IoT and is the major source of big data. In IoT enabled WSN, a massive amount of data collection generated from a resource-limited network is a tedious process, posing several challenging issues. Traditional networking protocols offer unfeasible mechanisms for large-scaled networks and might be applied to IoT platform without any modifications. Information-Centric Networking (ICN) is a revolutionary archetype which that can resolve those big data gathering challenges. Employing the ICN architecture for resource-limited WSN enabled IoT networks may additionally enhance the data access mechanism, reliability challenges in case of a mobility event, and maximum delay under multihop communication. In this view, this paper proposes an IoT enabled cluster based routing (CBR) protocol for information centric wireless sensor networks (ICWSN), named CBR-ICWSN. The proposed model undergoes a black widow optimization (BWO) based clustering technique to select the optimal set of cluster heads (CHs) effectively. Besides, the CBR-ICWSN technique involves an oppositional artificial bee colony (OABC) based routing process for optimal selection of paths. A series of simulations take place to verify the performance of the CBR-ICWSN technique and the results are examined under several aspects. The experimental outcome of the CBR-ICWSN technique has outperformed the compared methods interms of network lifetime and energy efficiency.

RET fusion–positive lung cancer accounts for 1 to 2% of non–small-cell lung cancers. Among previously treated patients with RET fusion–positive lung cancer, 64% of those who received selpercatinib, a RET kinase inhibitor, had a response, and among previously untreated patients, 85% had a response. Approximately one third of the patients had adverse events of grade 3 or higher.

Medullary thyroid cancer often develops in patients with somatic or germline mutations in RET . Selpercatinib is a novel RET inhibitor. In a phase 1–2 trial, a response to selpercatinib occurred in 38 of 55 previously treated patients (69%) and in 64 of 88 previously untreated patients (73%). Toxic effects were mainly low grade.

Spondylodiscitis is the commonest spine infection, and pyogenic spondylodiscitis is the most common subtype. Whilst antibiotic therapy is the mainstay of treatment, some advocate that early surgery can improve mortality, relapse rates, and length of stay. Given that the condition carries a high mortality rate of up to 20%, the most effective treatment must be identified. We aimed to compare the mortality, relapse rate, and length of hospital stay of conservative versus early surgical treatment of pyogenic spondylodiscitis. All major databases were searched for original studies, which were evaluated using a qualitative synthesis, meta-analyses, influence, and regression analyses. The meta-analysis, with an overall pooled sample size of 10,954 patients from 21 studies, found that the pooled mortality among the early surgery patient subgroup was 8% versus 13% for patients treated conservatively. The mean proportion of relapse/failure among the early surgery subgroup was 15% versus 21% for the conservative treatment subgroup. Further, it concluded that early surgical treatment, when compared to conservative management, is associated with a 40% and 39% risk reduction in relapse/failure rate and mortality rate, respectively, and a 7.75 days per patient reduction in length of hospital stay (p < 0.01). The meta-analysis demonstrated that early surgical intervention consistently significantly outperforms conservative management in relapse/failure and mortality rates, and length of stay, in patients with pyogenic spondylodiscitis.

Emerging viral diseases are a major threat to global health, and nearly two-thirds of emerging human infectious diseases are zoonotic. Most of the human epidemics and pandemics were caused by the spillover of viruses from wild mammals. Viruses that infect humans and a wide range of animals have historically caused devastating epidemics and pandemics. An in-depth understanding of the mechanisms of viral emergence and zoonotic spillover is still lacking. Receptors are major determinants of host susceptibility to viruses. Animal species sharing host cell receptors that support the binding of multiple viruses can play a key role in virus spillover and the emergence of novel viruses and their variants. Sialic acids (SAs), which are linked to glycoproteins and ganglioside serve as receptors for several human and animal viruses. In particular, influenza and coronaviruses, which represent two of the most important zoonotic threats, use SAs as cellular entry receptors. This is a comprehensive review of our current knowledge of SA receptor distribution among animal species and the range of viruses that use SAs as receptors. SA receptor tropism and the predicted natural susceptibility to viruses can inform targeted surveillance of domestic and wild animals to prevent the future emergence of zoonotic viruses.

There is a paradigm shift happening in automotive industry towards electric vehicles as environment and sustainability issues gained momentum in the recent years among potential users. Connected and Autonomous Electric Vehicle (CAEV) technologies are fascinating the automakers and inducing them to manufacture connected autonomous vehicles with self-driving features such as autopilot and self-parking. Therefore, Traffic Flow Prediction (TFP) is identified as a major issue in CAEV technologies which needs to be addressed with the help of Deep Learning (DL) techniques. In this view, the current research paper presents an artificial intelligence-based parallel autoencoder for TFP, abbreviated as AIPAE-TFP model in CAEV. The presented model involves two major processes namely, feature engineering and TFP. In feature engineering process, there are multiple stages involved such as feature construction, feature selection, and feature extraction. In addition to the above, a Support Vector Data Description (SVDD) model is also used in the filtration of anomaly points and smoothen the raw data. Finally, AIPAE model is applied to determine the predictive values of traffic flow. In order to illustrate the proficiency of the model’s predictive outcomes, a set of simulations was performed and the results were investigated under distinct aspects. The experimentation outcomes verified the effectual performance of the proposed AIPAE-TFP model over other methods.

A Correction to this paper has been published: https://doi.org/10.1038/s41571-021-00503-2.

Enhanced recovery after surgery(ERAS) is a set of multiple perioperative care component not a rigid protocol with improved outcomes for elective surgeries. This study aimed to assess the feasibility and outcomes in trauma patients undergoing laparotomy. Prospective single-centre randomized controlled trial(RCT). Patients undergoing emergency laparotomy following trauma were randomized into ERAS(early removal of catheters, early mobilization and initiation of diet, use of opioid-sparing multimodal analgesia) and conventional care groups 24 ​h post-surgery. Outcome measures included length of hospitalization(LOH), recovery of bowel function, duration of removal of catheters and 30-day complications(Clavien-Dindo). Fifty patients were randomized into ERAS(n ​= ​25) and conventional care(n ​= ​25) groups. Ninety-two percent of patients were young males, 58 ​% had blunt trauma to the abdomen and the most common indication of surgery was hollow viscus injury(88 ​%). ERAS group had a reduced median LOH(days) (6 versus 8, p ​= ​0.007), early recovery of bowel function(p ​= ​0.010) and shorter times for nasogastric tube(p ​= ​0.001), urinary catheter(p ​= ​0.007) and drain(p ​= ​0.006) removal. The complications were comparable in both groups except for deep surgical site infection[significantly lower in ERAS group(p ​= ​0.009)]. ERAS is safe and significantly reduces LOH in select trauma patients undergoing laparotomy. •The major aim of perioperative care-attenuate the surgical stress response.•ERAS is a method, not a rigid protocol.•Leads to reduced length of hospital stay without increased complication rates.•Widely accepted in the elective setup-paucity of studies in trauma patients.