LT3 at SemEval-2020 Task 8 : multi-modal multi-task learning for memotion analysis

Internet memes have become a very popular mode of expression on social media networks today. Their multi-modal nature, caused by a mixture of text and image, makes them a very challenging research object for automatic analysis. In this paper, we describe our contribution to the SemEval2020 Memotion Analysis Task. We propose a Multi-Modal Multi-Task learning system, which incorporates “memebeddings”, viz. joint text and vision features, to learn and optimize for all three Memotion subtasks simultaneously. The experimental results show that the proposed system constantly outperforms the competition’s baseline, and the system setup with continual learning (where tasks are trained sequentially) obtains the best classification F1-scores

Perioperative protective effects of statins

Although statins decrease cholesterol synthesis, they also possess ‘pleiotropic’ effects, such as enhancing the function of vascular endothelium and the stability of atherosclerotic plaques. Furthermore, they attenuate oxidative stress, inflammation, and the prothrombotic response. These diverse biological actions may explain their perioperative protective effects, especially in patients undergoing cardiac and major vascular procedures. Beyond reductions in perioperative mortality and cardiorenal complications, recent evidence also suggests outcome benefits from statin exposure in sepsis, airway hyperreactivity, and venous thromboembolism. It is likely that these agents will be increasingly prescribed perioperatively as high-quality evidence from well-designed randomized trials becomes available in the near future

Prevalence and patterns of higher-order drug interactions in Escherichia coli.

Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex environments, we study antibiotic combinations applied to pathogenic Escherichia coli and obtain unprecedented amounts of detailed data (251 two-drug combinations, 1512 three-drug combinations, 5670 four-drug combinations, and 13608 five-drug combinations). Directly opposite to previous assumptions and reports, we find higher-order interactions increase in frequency with the number of drugs in the bacteria's environment. Specifically, as more drugs are added, we observe an elevated frequency of net synergy (effect greater than expected based on independent individual effects) and also increased instances of emergent antagonism (effect less than expected based on lower-order interaction effects). These findings have implications for the potential efficacy of drug combinations and are crucial for better navigating problems associated with the combinatorial complexity of multi-component systems

Invasive mould infections: a multi-disciplinary update

Systemic fungal infections remain a significant cause of mortality in neutropenic and immunocompromised patients, despite advances in their diagnosis and treatment. The incidence of such infections is rising due to the use of intensive chemotherapy regimens in patients with solid tumours or haematological cancers, the increasing numbers of allogeneic haematopoietic stem cell and solid organ transplants, and the use of potent immunosuppressive therapy in patients with autoimmune disorders. In addition, the epidemiology of systemic fungal infections is changing, with atypical species such as Aspergillus terreus and zygomycetes becoming more common. Treatment has traditionally focused on empirical therapy, but targeted pre-emptive therapy in high-risk patients and prophylactic antifungal treatment are increasingly being adopted. New treatments, including lipid formulations of amphotericin B, second-generation broad-spectrum azoles, and echinocandins, offer effective antifungal activity with improved tolerability compared with older agents; the potential impact of these treatments is reflected in their inclusion in current treatment and prophylaxis guidelines. New treatment strategies, such as aerosolized lipid formulations of amphotericin B, may also reduce the burden of mortality associated with systemic fungal infections. The challenge is to identify ways of coupling potentially effective treatments with early and reliable identification of patients at highest risk of infectio

Can Institutions Be Reformed From Within? Evidence from a Randomized Experiment with the Rajasthan Police

Institutions in developing countries, particularly those inherited from the colonial period, are often thought to be subject to strong inertia. This study presents the results of a unique randomized trial testing whether these institutions can be reformed through incremental administrative change. The police department of the state of Rajasthan, India collaborated with researchers at U.S. and Indian Universities to design and implement four interventions to improve police performance and the public’s perception of the police in 162 police stations (covering over one-fifth of the state’s police stations and personnel): (1) placing community observers in police stations; (2) a freeze on transfers of police staff; (3) in-service training to update skills; and (4) weekly duty rotation with a guaranteed day off per week. These reforms were evaluated using data collected through two rounds of surveys including police interviews, decoy visits to police stations, and a large-scale public opinion and crime victimization survey—the first of its kind in India. The results illustrate that two of the reform interventions, the freeze on transfers and the training, improved police effectiveness and public and crime victims’ satisfaction. The decoy visits also led to an improvement in police performance. The other reforms showed no robust effects. This may be due to constraints on local implementation: The three successful interventions did not require the sustained cooperation of the communities or the local authorities (the station heads) and they were robustly implemented throughout the project. In contrast, the two unsuccessful interventions, which required local implementation, were not systematically implemented

Scalable Verification of GNN-based Job Schedulers

Recently, Graph Neural Networks (GNNs) have been applied for scheduling jobs over clusters, achieving better performance than hand-crafted heuristics. Despite their impressive performance, concerns remain over whether these GNN-based job schedulers meet users' expectations about other important properties, such as strategy-proofness, sharing incentive, and stability. In this work, we consider formal verification of GNN-based job schedulers. We address several domain-specific challenges such as networks that are deeper and specifications that are richer than those encountered when verifying image and NLP classifiers. We develop vegas, the first general framework for verifying both single-step and multi-step properties of these schedulers based on carefully designed algorithms that combine abstractions, refinements, solvers, and proof transfer. Our experimental results show that vegas achieves significant speed-up when verifying important properties of a state-of-the-art GNN-based scheduler compared to previous methods.Comment: Condensed version published at OOPSLA'2

Sideband pump-probe technique resolves nonlinear modulation response of PbS/CdS quantum dots on a silicon nitride waveguide

For possible applications of colloidal nanocrystals in optoelectronics and nanophotonics, it is of high interest to study their response at low excitation intensity with high repetition rates, as switching energies in the pJ/bit to sub-pJ/bit range are targeted. We develop a sensitive pump-probe method to study the carrier dynamics in colloidal PbS/CdS quantum dots deposited on a silicon nitride waveguide after excitation by laser pulses with an average energy of few pJ/pulse. We combine an amplitude modulation of the pump pulse with phase-sensitive heterodyne detection. This approach permits to use co-linearly propagating co-polarized pulses. The method allows resolving transmission changes of the order of 10(-5) and phase changes of arcseconds. We find a modulation on a sub-nanosecond time scale caused by Auger processes and biexciton decay in the quantum dots. With ground state lifetimes exceeding 1 mu s, these processes become important for possible realizations of opto-electronic switching and modulation based on colloidal quantum dots emitting in the telecommunication wavelength regime