The devil is in the details: an evaluation of recent feature encoding methods by Chatfield, K, Lempitsky, V, Vedaldi, A, Zisserman, A

“…A large number of novel encodings for bag of visual words models have been proposed in the past two years to improve on the standard histogram of quantized local features. …”

Learning from the community: iterative co-production of a programme to support the development of attention, regulation and thinking skills in toddlers at elevated likelihood of au... by Hendry, A, Hulks, V, Murphy, S, Radford, H, Smith, S, Charman, T, Mathers, S, Rhodes, S, Scerif, G

“…The co-production process for this neurodiversity-affirming programme involved: Review of research priorities identified during published public-and-clinician consultations; iterative programme development through two pilot rounds with a general community sample; and consultation with stakeholders (parents with a connection to autism or ADHD, alongside early years specialists, psychologists and therapists) to check acceptability of the proposal, and refine the logic model and materials. …”

3D object recognition using invariance by Zisserman, A, Forsyth, D, Mundy, J, Rothwell, C, Liu, J, Pillow, N

“…<p>The systems and concepts described in this paper document the evolution of the geometric invariance approach to object recognition over the last five years. Invariance overcomes one of the fundamental difficulties in recognising objects from images: that the appearance of an object depends on viewpoint. …”

Beyond symbolism: the roles of action planning and case-making in immigrant integration policymaking by Allen, WL, Broadhead, J

“…In response, we examine how municipal actors in 12 cities and regions across the UK have devised and communicated policies on immigrant integration—an area that lacks national policy inputs yet is locally consequential—through the mechanism of “action planning.” Drawing on 6 years’ worth of documentary evidence generated through a university-initiated collaboration with these municipalities, we show how action plans gather attention for objectives and propagate examples of practice to other cities—what we call “case-making.” …”

Stem cell-derived embryo models: moral advance or moral obfuscation? by Gyngell, C, Lynch, F, Sawai, T, Savulescu, J

“…There have been several rapid advances in creating SCEMs in recent years. These advances potentially provide a new avenue to study early human development. …”

Constructing envelopes: how institutional custodians can tame disruptive algorithms by Marti, E, Lawrence, TB, Steele, C

“…We empirically examine custodians’ responses to the high-frequency trading algorithms that disrupted the field of U.S. securities trading, focusing on the years 2009–2016. Our inductive analysis shows that custodians created an envelope with interconnected normative, governance, and practice “layers” that jointly constrained high-frequency trading. …”

Enhancement of photoacoustic imaging systems for biomedical applications by Sharma, Arunima

“…Although, PAI provides higher imaging depth compared to optical imaging modalities, depth of PA imaging systems can further be improved by using near-infrared (NIR) waves for illuminating the sample, instead of visible light. …”
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Study on process parameter optimization for electron beam melting additive manufacturing by Wang, Chengcheng

“…In contrast, the samples built from coarse powders (nominal size ~ 45 - 106 μm) show near-equiaxed-grain microstructure and isotropy in tensile testing, leading to higher tensile strength (ultimate tensile strength of 634.1 ± 8.6 MPa) and ductility (elongation of 62.8 ± 4.6%) than most of their AM-built counterparts. …”
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Adversarial robustness of deep reinforcement learning by Qu, Xinghua

“…Over the past decades, the advancements in deep reinforcement learning (DRL) have demonstrated that deep neural network (DNN) policies can be trained to prescribe near-optimal actions in many complex tasks. Unfortunately, DNN policies are shown to be vulnerable to adversarial perturbations in the input states, which creates obstacles for the real-world deployments of RL agents, especially on those security-sensitive tasks. …”
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Compositionally graded alloys fabricated using the laser powder bed fusion technique by Wei, Siyuan

“….% Ni was proved to be the lower threshold for fabricating nearly full-density Cu-Ni binary alloy. Cu-7.6Ni-3Al (wt.%) was further designed and fabricated. …”
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4D printable thermally stimulated (meth)acrylate shape memory polymers with tailorable shape recovery force for vat photopolymerization by Ng, Chin Siang

“…As a light-based printer, vat photopolymerization can print thermoset SMPs with Tg near body temperature, which is difficult to achieve for other heat-based additive manufacturing technologies that print thermoplastics. …”
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Uncovering vein patterns from color skin images for personal identification in forensic investigation by Tang, Chaoying

“…All the current vein recognition systems developed by companies and research laboratories rely on near infrared (NIR) imaging devices to capture high quality vein patterns from hand and wrist, where skin is relatively thin, for commercial applications. …”
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Solution based synthesis of Cu2ZnSnS4 nanoparticles and thin films for solar cell application by Li, Zhenggang

“…With 1,2-dichlorobenzene (DCB) as the solvent and oleylamine (OLA) as the ligand, sub-micrometer size clusters (0 ml OLA), near-spherical shape (0.5 ml OLA), faceted (1 ml OLA), and nanoplates (2 ml OLA) CZTS nanostructures were synthesized. …”
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Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…This classification is then used to force a conventional MPPT such as the perturb and observe (P&O) or extremum seeking control (ESC) to search near the identified MPP, resulting in the system tracking the global MPP. …”
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Rapid design exploration framework for realizing custom computing systems on FPGAs by Aung, Yan Lin

“…The KnapSim algorithm can achieve near optimal solution at significantly lower run-time compared to an existing state-of-the-art genetic algorithm based approach. …”
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Dynamics and stability of evaporating and condensing liquid layers by Wei, Tao

“…The destabilizing mechanism of vapor thrust competes with the stabilizing surface tension which is not asymptotically negligible near rupture. Nonlinear evolution in (1+1)D shows that for weak mass loss and strong vapor recoil, the capillary ridges emerge around a deepening narrow valley with increasing wavelength in sessile layers, while, for Rayleigh–Taylor layers the main and secondary droplets are either partially coalesced or completely separated by a sharp dry-out point on the basis of initial condition (IC). …”
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Combinatorial algorithms for scheduling jobs to minimize server usage time by Ren, Runtian

“…This competitive ratio closely matches a known lower bound µ on the competitiveness of any deterministic online algorithm and shows that First Fit packing is near optimal. In the clairvoyant online setting, we establish a lower bound of Ω (log µ / log log µ)^1/2 on the competitive ratio of any deterministic online algorithm. …”
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Love and Other Words / by Lauren, Christina, author 593883, Little, Brown Book Group (Online service) 655987

“…Although their memories are obscured by the agony of what happened that night so many years ago, Elliot will come to understand the truth behind Macy’s decade-long silence, and will have to overcome the past and himself to revive her faith in the possibility of an all-consuming love.…”
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Why Zebras Don't Get Ulcers / by Sapolsky, Robert M., author 656050, Holt (Online service) 655998

“…Sapolsky relates the history of endocrinology, how the field reacted at times of discovery, and how it has changed through the years. While most of the book focuses on the biological machinery of the body, the last chapter of the book focuses on self-help. …”
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Multi-Modal Protein Function Prediction using a Joint Embedding Space from Two Graph Neural Networks by Tysinger, Emma P.

“…There’s a growing need for precise and quick computational prediction methods, filling the gap between sequence discovery and functional understanding. Over recent years there has been an influx of deep-learning protein folding algorithms used for predicting function by transfer learning. …”
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