Aggressive and self-injurious behaviors of four retarded children were reduced by combining various techniques with the differential reinforcement of other behaviors (DRO). In one study, aggressive responses of a severely retarded child were reduced when DRO was combined with a 30-sec timeout. In a second study, various aggressive classroom behaviors were reduced when the child was told "no" fo...

Abstract A server satellite that is parked in a stable distant retrograde orbit (DRO) the vicinity of Moon can provide navigation service for satellites Earth– system. In this study, X-ray pulsar (XPNAV) investigated to determine server’s orbital position and velocity, maintain its onboard timing autonomously ensure autonomy server. First, feasibility potential advantages XPNAV DRO are...

Abstract Quay cranes are among the most important resources in port terminals, and their efficient use is crucial for terminals to remain competitive market. The problem of determining sequence tasks performed by quay that minimizes turnaround time a vessel an NP‐hard known as crane scheduling (QCSP). In this paper, we consider unidirectional QCSP under uncertain processing times, where only al...

The separate and combined effects of visual schedules and extinction plus differential reinforcement of other behavior (DRO) were evaluated to decrease transition-related problem behavior of 2 children diagnosed with autism. Visual schedules alone were ineffective in reducing problem behavior when transitioning from preferred to nonpreferred activities. Problem behavior decreased for both parti...

Wandering behavior of 4 geriatric patients with dementia residing in a long-term care facility was assessed using direct behavioral observations. The consequences identified during the observations as maintaining wandering for each patient were then applied for the absence of wandering using differential reinforcement of other behavior (DRO). The effectiveness of the DRO procedure was evaluated...

<p style='text-indent:20px;'>In this paper, we survey the primary research on theory and applications of distributionally robust optimization (DRO). We start with reviewing modeling power computational attractiveness DRO approaches, induced by ambiguity sets structure tractable counterpart reformulations. Next, summarize efficient solution methods, out-of-sample performance guarantee, con...

Submodular functions have applications throughout machine learning, but in many settings, we do not have direct access to the underlying function f . We focus on stochastic functions that are given as an expectation of functions over a distribution P . In practice, we often have only a limited set of samples fi from P . The standard approach indirectly optimizes f by maximizing the sum of fi. H...

Let the DRO (Diffeomorphism, Reparametrization, Observer) algebraDRO(N) be the extension of diff(N)⊕diff(1) by its four inequivalent Virasoro-like cocycles. Here diff(N) is the diffeomorphism algebra in N -dimensional spacetime and diff(1) describes reparametrizations of trajectories in the space of tensor-valued p-jets. DRO(N) has a Fock module for each p and each representation of gl(N). Anal...

We study the impact of firms’ abnormal business operations on their future crash risk in stock prices. Computed based on real earnings management (REM) models, firms' deviation in real operations from industry norms (DRO) is shown to be positively associated with their future crash risk. This association is incremental to that between discretionary accruals (DA) and crash risk found by prior st...