Dynamic Control of Light Direction Enabled by Stimuli‐Responsive Liquid Crystal Gratings

The ability to control light direction with tailored precision via facile means is long‐desired in science and industry. With the advances in optics, a periodic structure called diffraction grating gains prominence and renders a more flexible control over light propagation when compared to prisms. Today, diffraction gratings are common components in wavelength division multiplexing devices, monochromators, lasers, spectrometers, media storage, beam steering, and many other applications. Next‐generation optical devices, however, demand nonmechanical, full and remote control, besides generating higher than 1D diffraction patterns with as few optical elements as possible. Liquid crystals (LCs) are great candidates for light control since they can form various patterns under different stimuli, including periodic structures capable of behaving as diffraction gratings. The characteristics of such gratings depend on several physical properties of the LCs such as film thickness, periodicity, and molecular orientation, all resulting from the internal constraints of the sample, and all of these are easily controllable. In this review, the authors summarize the research and development on stimuli‐controllable diffraction gratings and beam steering using LCs as the active optical materials. Dynamic gratings fabricated by applying external field forces or surface treatments and made of chiral and nonchiral LCs with and without polymer networks are described. LC gratings capable of switching under external stimuli such as light, electric and magnetic fields, heat, and chemical composition are discussed. The focus is on the materials, designs, applications, and future prospects of diffraction gratings using LC materials as active layers.     

A Facet‐Specific Quantum Dot Passivation Strategy for Colloid Management and Efficient Infrared Photovoltaics

Colloidal nanocrystals combine size‐ and facet‐dependent properties with solution processing. They offer thus a compelling suite of materials for technological applications. Their size‐ and facet‐tunable features are studied in synthesis; however, to exploit their features in optoelectronic devices, it will be essential to translate control over size and facets from the colloid all the way to the film. Larger‐diameter colloidal quantum dots (CQDs) offer the attractive possibility of harvesting infrared (IR) solar energy beyond absorption of silicon photovoltaics. These CQDs exhibit facets (nonpolar (100)) undisplayed in small‐diameter CQDs; and the materials chemistry of smaller nanocrystals fails consequently to translate to materials for the short‐wavelength IR regime. A new colloidal management strategy targeting the passivation of both (100) and (111) facets is demonstrated using distinct choices of cations and anions. The approach leads to narrow‐bandgap CQDs with impressive colloidal stability and photoluminescence quantum yield. Photophysical studies confirm a reduction both in Stokes shift (≈47 meV) and Urbach tail (≈29 meV). This approach provides a ≈50% increase in the power conversion efficiency of IR photovoltaics compared to controls, and a ≈70% external quantum efficiency at their excitonic peak.     

Altered expression of microtubule-associated protein 1B in cerebral cortical structures of pentylenetetrazole-treated rats

Using Northern blot, immunoblotting, immunocytochemistry, and in situ hybridization, we show that a single administration of the convulsant pentylenetetrazole leads to robust, long-term changes in microtubule-associated protein 1B and its mRNA, in the adult rat brain. The first increases in MAP1B mRNA were detected at 15 hr following pentylenetetrazole administration in the temporal (Te2) and perirhinal cortex followed by increases in microtubule-associated protein 1B immunoreactivity at 72 hr postseizure. In contrast, the levels of microtubule-associated protein 1B mRNA and protein in layers I-II of the retrosplenial and parietal cortex (Par2) declined visibly by 24 hr and 72 h, respectively, post-seizure. The changes included loss of staining in layers I-II and development of structures resembling "strings-of-beads" along the fibers of projection neurons of layer V. The levels of microtubule-associated protein 1B mRNA in the entorhinal cortex peaked at later times (72 h), especially in layers II-III, and returned to control levels by 10 days. Whereas the levels of microtubule-associated protein 1B immunoreactivity in the retrosplenial and parietal cortex recovered by 5-10 days, it persisted at high levels through day 35 in layer V of the temporal cortex (Te2), layers II-III of the perirhinal cortex and layers I-II of the lateral entorhinal cortex. These results indicate that seizure activity leads to long-term upregulation of genes coding for structural elements that are characteristic of the immature brain such as microtubule-associated protein 1B.     

Models for the two‐dimensional rectangular single large placement problem with guillotine cuts and constrained pattern

In this paper, we address the constrained two‐dimensional rectangular guillotine single large placement problem (2D_R_CG_SLOPP). This problem involves cutting a rectangular object to produce smaller rectangular items from orthogonal guillotine cuts. In addition, there is an upper limit on the number of copies that can be produced of each item type. To model this problem, we propose a new pseudopolynomial integer nonlinear programming (INLP) formulation and obtain an equivalent integer linear programming (ILP) formulation from it. Additionally, we developed a procedure to reduce the numbers of variables and constraints of the integer linear programming (ILP) formulation, without loss of optimality. From the ILP formulation, we derive two new pseudopolynomial models for particular cases of the 2D_R_CG_SLOPP, which consider only two‐staged or one‐group patterns. Finally, as a specific solution method for the 2D_R_CG_SLOPP, we apply Benders decomposition to the proposed ILP formulation and develop a branch‐and‐Benders‐cut algorithm. All proposed approaches are evaluated through computational experiments using benchmark instances and compared with other formulations available in the literature. The results show that the new formulations are appropriate in scenarios characterized by few item types that are large with respect to the object's dimensions.     

An I&I‐Based Observer to Solve the Output‐Feedback Synchronization Problem for a Class of Chaotic Systems

A novel robust observer, intended to solve the output‐feedback chaos synchronization problem for the Master/Slave Configuration, is proposed here. Assuming that the given Master system belongs to a specific class of feedback‐linearized systems, our solution is based on the well‐known Immersion and Invariance (I&I) method. The proposed observer is devoted to the asymptotic estimation of the Master system's underlying dynamics, and its effectiveness is illustrated via computer‐based simulations that involve both the so‐called Duffing's oscillator and the Genesio & Tesi system.     

Enhancing User Engagement through Gamification

Gamification—the use of game elements in non-game contexts—is gaining interest among researchers and practitioners. How gamification enhances user engagement, though, remains unclear, largely due to the lack of a theoretical framework. To narrow the theory gap, this study develops a theoretical model, which draws on cognitive evaluation theory to explain the effects of game dynamics on user engagement, and tests it using data collected from 164 users of a gamified information system. The results reveal that gamification enhances user engagement through the mediation of psychological needs satisfaction (autonomy, competence, and relatedness) between game dynamics and enjoyment. The results suggest that gamification should go beyond merely providing fun and enjoyment; gamification should also generate diverse game dynamics, such as rewards, competition, altruism, and self-expression in a way that helps people to satisfy their psychological needs. The study contributes to a more nuanced understanding of the success of gamification.     

An Application of Quadratic Measure Filters to the Segmentation of Chorio-Retinal OCT Data

As an application of Walther’s convergence theorem for quadratic measure filters, a novel approach for the approximate detection of the jump set of functions \(x \in BV (\Omega , \mathbbm {R}^{})\,\cap \,{{ PC }}^{1}_{} (\Omega , \mathbbm {R}^{})\) has been established. The method has been successfully applied to the segmentation of medical image data which have been generated by optical coherence tomography of the human retina and choroid. There is an excellent correspondence between the automated segmentations and manual delineations, while standard edge detectors fail completely in the recognition of the low-contrasted outer choroid boundary.     

Assessing and discovering parallelism in C$$$$ code for heterogeneous platforms

Massively parallel architectures are mainly based on a parallel heterogeneous setup. They are composed by different computing devices that speed up specific code regions, named kernels. These kernels are usually executed offline in the corresponding devices. Porting applications to a specific heterogeneous platform is a costly task in terms of time and human resources. The key points in the porting process are the manual analysis of the source code and kernel detection. Each device of these heterogeneous platforms has their own restrictions, such as the memory allocation support. Kernels must be mapped with suitable computing devices. We introduced AKI as an automatic kernel identification and annotation tool that aims to identify potential kernels on C\(++\) sequential applications. AKI identifies those kernels that can be offlined on heterogeneous computing devices. To annotate these kernels, REPARA C++ attributes have been defined. This annotation mechanism can aid future automatic source-to-source transformation tools to facilitate the work for parallel heterogeneous platforms. AKI has been evaluated over all benchmarks included in the NAS suite. The benchmark suite incorporates a big set of realistic high performance applications. The evaluation results demonstrate that AKI is a competitive solution for identifying and annotating parallel code fragments (aka kernels).     

A Human Factors Approach to Exploring the Experience of Group Trip Planning from the Perspective of Intragroup Interaction

Previous studies have investigated the experiences and characteristics of holiday decision-making among groups of travelers. This study adds to the knowledge of group trip holiday planning through exploring influential factors (including the individual and group characteristics of travelers), and linking those with their intragroup interactions when planning a group trip. A total of 261 usable questionnaires were collected across two university campuses in the UK and China. The survey employed a retrospective approach, asking participants to recall one of their past group trip planning experiences within the previous 3 months. This study found that intragroup interactions during a group trip planning process are influenced both by tourists’ individual factors, such as age, gender, and nationality, and by group characteristics, such as group size, common interest, group type, and group travel style. This study shows that common interest is the most influential factor in terms of its positive impact on group collaboration, feeling of connectedness, strength of preparation, and flexibility and spontaneity during group trip planning process. Further, in general, Chinese groups tend to spend less time on planning their trips before departure, but focus more on the details of the itinerary. Finally, the implications for technologies that are designed to facilitate the group trip planning process, with a view to enhancing the level of group enjoyment, are discussed based on the findings in this study.     

Making BaZrS3 Chalcogenide Perovskite Thin Films by Molecular Beam Epitaxy

The making of BaZrS₃ thin films by molecular beam epitaxy (MBE) is demonstrated. BaZrS₃ forms in the orthorhombic distorted-perovskite structure with corner-sharing ZrS₆ octahedra. The single-step MBE process results in films smooth on the atomic scale, with near-perfect BaZrS₃ stoichiometry and an atomically sharp interface with the LaAlO₃ substrate. The films grow epitaxially via two competing growth modes: buffered epitaxy, with a self-assembled interface layer that relieves the epitaxial strain, and direct epitaxy, with rotated-cube-on-cube growth that accommodates the large lattice constant mismatch between the oxide and the sulfide perovskites. This work sets the stage for developing chalcogenide perovskites as a family of semiconductor alloys with properties that can be tuned with strain and composition in high-quality epitaxial thin films, as has been long-established for other systems including Si-Ge, III-Vs, and II-VIs. The methods demonstrated here also represent a revival of gas-source chalcogenide MBE.