Ground Delay Program Analytics with Behavioral Cloning and Inverse Reinforcement Learning

We used historical data to build two types of model that predict Ground Delay Program implementation decisions and also produce insights into how and why those decisions are made. More specifically, we built behavioral cloning and inverse reinforcement learning models that predict hourly Ground Delay Program implementation at Newark Liberty International and San Francisco International airports. Data available to the models include actual and scheduled air traffic metrics and observed and forecasted weather conditions. We found that the random forest behavioral cloning models we developed are substantially better at predicting hourly Ground Delay Program implementation for these airports than the inverse reinforcement learning models we developed. However, all of the models struggle to predict the initialization and cancellation of Ground Delay Programs. We also investigated the structure of the models in order to gain insights into Ground Delay Program implementation decision making. Notably, characteristics of both types of model suggest that GDP implementation decisions are more tactical than strategic: they are made primarily based on conditions now or conditions anticipated in only the next couple of hours

Studies In the Synthesis of Thiazolidinones. Part-II. 5-Benzal Derivatives of 2-(Substituted Benzothiazole-2'-yl-imino)-4-Thiazolidinones and their Brominated Products

Department of Chemistry, Sambalpur University, Jyoti Vihar, Burla Manuscript received 1 August 1972; revised 5 August 1974; accepted 27 August 1974 The present investigation describes the synthesis of some 2-(subotituted benzothiazole-2'-yl-imino)-4-thiazolidinones, their arylidene derivatives and brominated products. The effect of carbonyl absorption of thiazolidinone and its arylidene derivatives in I.R. region has been studied, The antifuagal and antibacterial activities of some of the compounds have also been evaluated

Giant exchange bias effect in Ruddlesden-Popper oxides SrLaFe0.25+xMn0.25Co0.5−xO4 (x=0,0.25): Role of the cluster glass magnetic phase in a quasi-two-dimensional perovskite

Structural and magnetic studies on SrLa(Fe 0.25 Mn 0.25)Co 0.5 O 4 (FMC1) and SrLaFe 0.5 (Mn 0.25 Co 0.25)O 4 (FMC2) reveal unusually large exchange bias behavior in these atomically disordered quasi-two-dimensional layered perovskites. Powder x-ray as well as neutron diffraction confirm tetragonal crystal structure with I4/mmm space group for both the compounds. Magnetization measurements on FMC1 as well as FMC2 reveal short-range antiferromagnetic ordering around room temperature and frozen magnetic clusters at lower temperatures (T < 23 K for FMC1 and T < 43 K for FMC2). The random occupancy of mixed-valent magnetic ions (Fe 3+ /Fe 4+ , Mn 3+ /Mn 4+ , Co 2+ /Co 3+) at the perovskite octahedral sites give rise to locally varying competing antiferromagnetic and ferromagnetic exchange interactions, resulting in low temperature frozen spin states. Giant exchange bias values of ∼6 and ∼9.5 kOe were observed for FMC1 and FMC2, respectively, at 2 K under an applied field of 50 kOe. In comparison, the Co-rich FMC1 exhibits higher magnetization and coercivity, whereas Fe-rich FMC2 possesses a higher exchange bias effect. Our experimental results reveal compositional tuning induced exotic magnetic behavior in quasi-two-dimensional layered oxides

The thermal degradation kinetics of poly(chlorethylmethacrylates)

The thermal degradation kinetics of poly(2-mono-, 2,2-di- and 2,2,2-trichlorethyl methacrylate) and of the non-chlorinated poly(ethyl methacrylate) were studied by TG in the absence and presence of oxygen. The overall thermal degradation energy, determined by the Flynn-Wall method, increases with increasing chlorine content of the polymer when the degradation is performed in the absence of oxygen, while the trend is reversed in the presence of oxygen. Competition between the two major non-oxidative thermolysis reactions, depolymerization and crosslinking, could be monitored by DTG. Generally, the thermal stability of the investigated polymers is reduced by oxygen