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The spin Hall effect of light, a phenomenon characterized by the transverse and spin dependent splitting of light at an optical interface, is highly promising for collecting precise quantitative data from interfaces and stands as an appealing option for improving precision metrology. This high level of precision is attributed to the principles of weak measurement. Since its conceptual introduction, the spin Hall effect of light has been empirically observed through weak measurement techniques, adhering closely to the initially proposed experimental configuration. Recently, it has been suggested that the setup can be downsized without compromising precision. Here, the first experimental demonstration of “compact weak measurement” is achieved by observing the spin Hall effect of both reflected and refracted light. Compared to the conventional weak measurement, this compact setup performs the same measurements but requires less free space by replacing the two convex lenses with a set of concave and convex lenses. The compact weak measurement demonstrates excellent agreement with theoretical predictions and experimental findings from traditional setups across both isotropic–isotropic and isotropic–anisotropic interfaces. The experimental validation of the compact configuration paves the way for the practical application of the spin Hall effect of light in devices with a smaller form factor.

Chirality, the absence of mirror symmetry, is predominant in nature. The chiral nature of the electromagnetic field behaves differently with chiral matter for left circularly polarized and right circularly polarized light. The chiroptical behavior in the sensing of naturally occurring chiral objects is weak, and improving the chiroptical response enhances the chiral sensing platform. This review covers the fundamental concepts of chiral metasurfaces and various types of single- and multi-layered chiral metasurfaces. In addition, we discuss tunable and deep-learning-based chiral metasurfaces. Tunability is achieved by manipulating the meta-atom's property in response to external stimuli for applications such as optical modulation, chiral photonics, advanced sensing, and adaptive optics. Deep-learning modeling techniques, such as CNNs and GANs, offer efficient learning of the complex relationships in data, enabling the optimization and accurate prediction of chiral metasurface properties. The challenges in the design and fabrication of chiral metasurface include achieving broadband performance and scalability and addressing material limitations. Chiral metasurface performance is evaluated by optical rotation, circular dichroism enhancement, and tunability, which are quantified through the spectroscopic measurement of circular dichroism and optical rotation. Chiral metasurface progress enables applications, including metaholography, metalenses, and chiral sensing. Chiral sensing improves the detection of pharmaceuticals and biomolecules, increasing the sensitivity and accuracy of analytical diagnostics. [ABSTRACT FROM AUTHOR]

An innovative approach is proposed to enhanced pipeline scheduling (EPS). It is called split-path EPS (SP-EPS).

Lactic acid bacteria (LAB) are key for the fermentation of sourdoughs to improve the quality and nutritive value of bread. The aim of this study was to isolate the LAB starter for sourdough fermentation from Jeung-pyun, a Korean traditional rice cake. Among the twenty two LAB screened, five isolates were selected based on exo-polysaccharide production. Among them, three isolates showed cell growth greater than 8.5 Log CFU/g, maximum increase in the volume of dough, and dextran concentration up to 0.16%. During the sourdough fermentation, pH and total titratable acidity (TTA) were changed, as the three isolates synthesized lactic acid and acetic acid with fermentation quotients less than 2.0. They were identified as Leuconostoc lactis EFEL005, Lactobacillus brevis EFEL004, and Le. citreum EFEL006. They displayed good fermentation properties (growth, dextran production, pH, and TTA) in dough and they are regarded as potential starters to be used in sourdough fermentation. [ABSTRACT FROM AUTHOR]

Saccharomyces cerevisiae SPC-SNU 70-1 is a commercial diploid baking yeast strain valued for its excellent bread-making qualities, including superior leavening capabilities and the production of flavor-enhancing volatile organic acids. Despite its benefits, this strain faces challenges in fermenting both lean (low-sugar) and sweet (high-sugar) doughs. To address these issues, we employed the CRISPR/Cas9 genome editing system to modify genes without leaving any genetic scars. For lean doughs, we enhanced the yeast's ability to utilize maltose over glucose by deleting a gene involved in glucose repression. For sweet doughs, we increased glycerol production by overexpressing glycerol biosynthetic genes and optimizing redox balance, thereby improving the tolerence to osmotic stress during fermentation. Additionally, the glycerol-overproducing strain demonstrated enhanced freeze tolerance, and bread made from this strain exhibited improved storage properties. This study demonstrates the feasibility and benefits of using engineered yeast strains, created solely by editing their own genes without introducing foreign genes, to enhance bread making. • CRISPR/Cas9 genome editing enhanced fermentation traits of S. cerevisiae SPC-SNU 70-1, an industrial baker's yeast strain. • Deleting genes for glucose repression improved maltose utilization and leavening in low-sugar doughs. • Increasing glycerol biosynthesis and optimizing redox balance improved leavening in high-sugar doughs. • Glycerol-enhanced yeasts improved freeze tolerance, producing bread with better storage while preserving flavor. [ABSTRACT FROM AUTHOR]