Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection

The wide utilization of smartphones has provided extensive availability to Inertial Measurement Units, providing a wide range of sensory data that can be advantageous for transportation mode detection. This study proposes a novel end-to-end approach to effectively explore a reduced amount of sensory data collected from a smartphone, aiming to achieve accurate mode detection in common daily traveling activities. Our approach, called Feature Pyramid biLSTM (FPbiLSTM), is characterized by its ability to reduce the number of sensors required and processing demands, resulting in a more efficient modeling process without sacrificing the quality of the outcomes than the other current models. FPbiLSTM extends an existing CNN biLSTM model with the Feature Pyramid Network, leveraging the advantages of both shallow layer richness and deeper layer feature resilience for capturing temporal moving patterns in various transportation modes. It exhibits an excellent performance by employing the data collected from only three out of seven sensors, i.e., accelerometers, gyroscopes, and magnetometers, in the 2018 Sussex-Huawei Locomotion (SHL) challenge dataset, attaining a noteworthy accuracy of 95% and an F1-score of 94% in detecting eight different transportation modes

The Effects of Equine-Assisted Activities on Execution Function in Children Aged 7–8 Years: A Randomized Controlled Trial

BACKGROUND: This study examines the effects of equine-assisted activity (EAA) training on executive functioning (EF) (inhibitory control, working memory, and cognitive flexibility) in children aged 7-8 years. METHODS: Twenty-Four healthy children aged 7-8 years with a 1:1 ratio of boys to girls were randomly divided into EAA group (EAAG) or control group (CG). The subjects in EAAG were trained for 12 weeks, and CG participated in normal daily activities. All subjects conducted the Flanker, 1-Back, and More-odd shifting tasks at rest and recorded the average reaction times (RTs) and accuracy data of each task. RESULTS: After 12 weeks of EAA intervention, EAAG showed a highly significant increase (p \u3c .01) in mean RTs and accuracy in the Flanker and More-odd shifting tasks and a highly significant increase (p \u3c .01) in accuracy only in 1-Back. CONCLUSION: These findings suggest that 12-week EAA training can be effective in improving EF and promoting cognitive performance in children aged 7-8 years

Experimental Test of Tracking the King Problem

In quantum theory, the retrodiction problem is not as clear as its classical counterpart because of the uncertainty principle of quantum mechanics. In classical physics, the measurement outcomes of the present state can be used directly for predicting the future events and inferring the past events which is known as retrodiction. However, as a probabilistic theory, quantum-mechanical retrodiction is a nontrivial problem that has been investigated for a long time, of which the Mean King Problem is one of the most extensively studied issues. Here, we present the first experimental test of a variant of the Mean King Problem, which has a more stringent regulation and is termed "Tracking the King". We demonstrate that Alice, by harnessing the shared entanglement and controlled-not gate, can successfully retrodict the choice of King's measurement without knowing any measurement outcome. Our results also provide a counterintuitive quantum communication to deliver information hidden in the choice of measurement.Comment: 16 pages, 5 figures, 2 table

Ethyl 4-anilino-3-nitrobenzoate

In the title compound, C15H14N2O4, the aromatic rings are oriented at a dihedral angle of 78.33 (3)°. An intra­molecular N—H⋯O hydrogen bond results in a non-planar six-membered ring with a flattened-boat conformation. In the crystal structure, inter­molecular N—H⋯O hydrogen bonds link the mol­ecules. π–π contacts between the phenyl rings and both the phenyl and benzene rings, [centroid–centroid distances = 3.841 (3) and 3.961 (3) Å] may further stabilize the structure

4-Chloro-3-nitro­benzonitrile

In the title compound, C7H3ClN2O2, the Cl, C and N atoms are coplanar with the aromatic ring. In the crystal structure, weak inter­molecular C—H⋯O and C—H⋯N hydrogen bonds link the mol­ecules. The π–π contact between the benzene rings, [centroid–centroid distances = 3.912 (3) Å] may further stabilize the structure