BINA

Thermal effects are well known to influence the electronic and optical properties of materials through several physical mechanisms and are the basis for various optoelectronic devices. The thermo-optic (TO) effect - the refractive index variation with temperature (dn/dT), is one of the common mechanisms used for tunable optical devices, including integrated optical components, metasurfaces and nano-antennas. However, when a static and fixed operation is required, i.e., temperature invariant performance - this effect becomes a drawback and may lead to undesirable behavior through drifting of the resonance frequency, amplitude, or phase, as the operating temperature varies over time. In this work, we present a systematic approach to mitigate thermally induced optical fluctuations in nanophotonic devices. By using hybrid subwavelength resonators composed from two materials with opposite TO dispersions (dn/dT<0 and dn/dT>0), we are able to compensate for TO shifts and engineer meta-atoms and metasurfaces with zero effective TO coefficient (dn/dT~0). We demonstrate temperature invariant resonant frequency, amplitude, and phase response in meta-atoms and metasurfaces operating across a wide temperature range and broad spectral band. Our results highlight a path towards temperature invariant nanophotonics, which can provide constant and stable optical response across a wide range of temperatures and be applied to a plethora of optoelectronic devices. Controlling the sign and magnitude of TO dispersion extends the capabilities of light manipulation and adds another layer to the toolbox of optical engineering in nanophotonic …

Integration of information over the central nervous system is an important neural process that affects our ability to perceive and react to the environment. The visual system is required to continuously integrate information arriving from two different sources (the eyes) to create a coherent percept with high spatiotemporal precision. Although this neural integration of information is assumed to be critical for visual performance, it can be impaired under some pathological or developmental conditions. Here we took advantage of a unique developmental condition, amblyopia (“lazy eye”), which is characterized by an impaired temporal synchronization between the two eyes, to meticulously study the effect of synchronization on the integration of binocular visual information. We measured the eyes’ asynchrony and compensated for it (with millisecond temporal resolution) by providing time-shifted stimuli to the eyes. We found …

The Supporting Information is available free of charge at https://pubs. acs. org/doi/10.1021/acs. jpcb. 2c09011. A thorough description of additional MC-DEPI simulations of different conditions that yield the same FRET histograms and a full description of the methods used in this work as well as an appendix thoroughly describing the loss function used in this work for the fitting procedure (PDF)

Hierarchical organic structures have gained vast attention in the past decade owing to their great potential in chemical and medical applications in industries such as the food and pharmaceutical industries. In this paper, the crystallization of L-glu hierarchical spheres using inorganic ions, namely calcium, barium and strontium cations, is described. The anti-solvent precipitation method is used for the spherical crystallization. The L-glu microspheres are characterized using various techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photo-electron microscopy (XPS) and polarized microscopy (POM). It is shown that without additives, L-glu crystallizes as flower-like structures, very different from the hierarchical spheres crystallized with the charged additives. Based on our results, we suggest a mechanism for the hierarchical sphere formation based on the crystallization and self-assembly of L-glu in emulsion droplets using charged additives.

Neuroblastoma is a lethal childhood solid tumor of developing peripheral nerves. Two percent of children with neuroblastoma develop Opsoclonus Myoclonus Ataxia Syndrome (OMAS), a paraneoplastic disease characterized by cerebellar and brainstem-directed autoimmunity, but typically with outstanding cancer-related outcomes. We compared tumor transcriptomes and tumor infiltrating T- and B-cell repertoires from 38 OMAS subjects with neuroblastoma to 26 non-OMAS associated neuroblastomas. We found greater B- and T-cell infiltration in OMAS-associated tumors compared to controls, but unexpectedly showed that both were polyclonal expansions. Tertiary lymphoid structures (TLS) were enriched in OMAS-associated tumors. We identified significant enrichment of the MHC Class II allele HLA-DOB*01:01 in OMAS patients. OMAS severity scores were associated with the expression of several candidate autoimmune genes. We propose a model in which polyclonal autoreactive B lymphocytes act as antigen presenting cells and drive TLS formation, thereby crucially supporting both sustained polyclonal T-cell-mediated anti-tumor immunity and paraneoplastic OMAS neuropathology.

In adaptive immune receptor repertoire analysis, determining the germline variable (V) allele associated with each T- and B-cell receptor sequence is a crucial step. This process is highly impacted by allele annotations. Aligning sequences, assigning them to specific germline alleles, and inferring individual genotypes are challenging when the repertoire is highly mutated, or sequence reads do not cover the whole V region. Here, we propose an alternative naming scheme for the V alleles as well as a novel method to infer individual genotypes. We demonstrate the strength of the two by comparing their outcomes to other genotype inference methods and validated the genotype approach with independent genomic long read data. The naming scheme is compatible with current annotation tools and pipelines. Analysis results can be converted from the proposed naming scheme to the nomenclature determined by the International Union of Immunological Societies (IUIS). Both the naming scheme and the genotype procedure are implemented in a freely available R package (PIgLET). To allow researchers to explore further the approach on real data and to adapt it for their future uses, we also created an interactive website (https://yaarilab.github.io/IGHV_reference_book).

We study optimal restart times for the quantum first hitting time problem. Using a monitored one-dimensional lattice quantum walk with restarts, we find an instability absent in the corresponding classical problem. This instability implies that a small change in parameters can lead to a rather large change of the optimal restart time. We show that the optimal restart time versus a control parameter, exhibits sets of staircases and plunges. The plunges, are due to the mentioned instability, which in turn is related to the quantum oscillation of the first hitting time probability, in the absence of restarts. Furthermore, we prove that there are only two patterns of the staircase structures, dependent on the parity of the distance between the target and source in units of lattice constant.

In this chapter, we would like to discuss polymer coating's know-how, which is a method of modifying surface qualities in order to satisfy operating requirements in a number of technological applications. In addition to adhesion and barrier capabilities, polymer coatings have also been used to improve scratch and abrasion resistance, solvent resistance, wettability, noncytotoxicity, and other features. For the manufacture of protective organic coatings a number of different techniques have been devised and used. A careful selection of polymer, coating process, and manufacturing conditions can result in high-performance coatings with improved attributes when applied correctly. Polymer coatings have recently been shown to be effective and widely used in a variety of applications, including solar cells, batteries, separation techniques, diodes, corrosion defense, packaging, and heathcare applications.

Superhydrophobic surface preparation is developed by inspiration from nature. As it is a natural fact that lotus leaves are water repellant, thus researchers tried their best to develop superhydrophobic coatings by using several materials. The materials are categorized by inorganic, organic, and their synergistic hybrids. Polymeric coatings are more usable by scientists because of its tunable chemical features and their internal morphologies. This chapter will discuss in brief the coating materials and how polymer systems influenced the superhydrophobicity.

Being nearly unlimited natural resource containing mostly Na cations, the use of seawater as an electrolyte solution (aka seawater batteries) for electrochemical energy storage has received growing attention. To date, the vast majority of studies have focused on the use of seawater in Na-metal batteries protected by ion-conductive membranes hermetic to water. These systems, however, are complex and expensive, and suffer from a short cycling life. Here, we present alternative seawater batteries that utilize polyimide anodes. With its high capacity of more than 140 mAh/g, impressive rate capability, and excellent long-term stability (98% capacity retention after more than 9000 cycles), the prepared polyimide electrodes demonstrated to be promising candidate anodes for seawater electrochemical energy storage devices. Looking for a suitable cathode, we explored the use of nickel hexacyanoferrate (Ni-HCF) and …

The work reported herein discusses the improved electrochemical and thermal behavior of LiNi0.5Mn1.5O4 (LNMO) spinel cathodes via surface engineering using a series of zeolites. The limiting issues of these high voltage electrodes are phase transition during Li-ions intercalation/de-intercalation processes, weakening the active material's structure. Besides, it initiates harmful interfacial side reactions, including solution species oxidation and Ni & Mn dissolution, affecting their long-term cycling stability severely and detrimentally. Therefore, we propose a zeolite-based surface modification of LNMO involving a simple surface coating strategy that includes liquid-phase (ethanol) mixing followed by heat treatment at 200°C under nitrogen gas flow. The cathodes comprising LNMO coated with 2 wt% zeolites exhibited significantly improved cycling stability than the reference cathodes with the uncoated material …

T-cell diversity is crucial for producing effective receptors that can recognize the pathogens encountered throughout life. A stochastic biological process known as VDJ recombination accounts for the high diversity of these receptors, making their analysis challenging. We present a new approach to sequence encoding and analysis, based on the Lempel-Ziv 76 algorithm (LZ-76). By creating a graph-like model, we identify specific sequence features and produce a new encoding approach to an individual's repertoire. We demonstrate that this repertoire representation allows for various applications, such as generation probability inference, informative feature vector derivation, sequence generation, and a new measure for diversity estimation.

Endogenous gene knock-in using CRIPSR is becoming the standard for fluorescent tagging of endogenous proteins. Some protocols, particularly those that utilize insert cassettes that carry a fluorescent protein tag, can yield many types of cells with off-target insertions that have diffuse fluorescent signal throughout the whole cell in addition to scarce cells with on-target gene insertions that show the correct sub-cellular localization of the tagged protein. As such, when searching for cells with on-target integration using flow cytometry, the off-target fluorescent cells yield a high percentage of false positives. Here, we show that by changing the gating used to select for fluorescence during flow cytometry sorting, namely utilizing the width of the signal as opposed to the area, we can highly enrich for positively integrated cells. Reproducible gates were created to select for even minuscule percentages of correct subcellular signal, and these parameters were validated by fluorescence microscopy. This method is a powerful tool to rapidly enhance the generation of cell-lines with correctly integrated gene knock-ins encoding endogenous fluorescent proteins.

Chiral polymeric particles (CPPs) were studied extensively in recent years due to their importance in pharmaceutical applications. Here, nanosized CPPs were synthesized and applied as catalysts for direct asymmetric aldol reaction. The CPPs were prepared by miniemulsion or inverse miniemulsion based on various chiral amino acid derivatives and characterized by dynamic light scattering and scanning electron microscopy. The nanoparticles with spherical structure between 250 and 400 nm and high chiral surface area were used as catalysts in the aldol reaction at room temperature without additional solvent. L-tryptophan gave the highest enantiomeric excess, >86% with similar catalytic performance four times.

The discovery of the Ti3C2Tx compounds (MXenes) a decade ago opened new research directions and valuable opportunities for high‐rate energy storage applications. The unique ability of the MXenes to host various mono‐ and multivalent cations and their high stability in different electrolyte environments including aqueous, organic, and ionic liquid solutions, promoted the rapid development of advanced MXene‐based electrodes for a large variety of applications. Unlike the vast majority of typical intercalation compounds, the electrochemical performance of MXene electrodes is strongly influenced by the presence of co‐inserted solvent molecules, which cannot be detected by conventional current/potential electrochemical measurements. Furthermore, the electrochemical insertion of ions into MXene interspaces results in strong coupling with the intercalation‐induced structural, dimensional, and viscoelastic …

Emerging energy storage systems based on abundant and cost-effective materials are key to overcome the global energy and climate crisis of the 21st century. Rechargeable Magnesium Batteries (RMB), based on Earth-abundant magnesium, can provide a cheap and environmentally responsible alternative to the benchmark Li-ion technology, especially for large energy storage applications. Currently, RMB technology is the subject of intense research efforts at laboratory scale. However, these emerging approaches must be placed in a real-world perspective to ensure that they satisfy key technological requirements. In an attempt to bridge the gap between laboratory advancements and industrial development demands, herein, we report the first non-aqueous multilayer RMB pouch cell prototypes and propose a roadmap for a new advanced RMB chemistry. Through this work, we aim to show the great unrealized …

Correction for ‘Impact of thermal gas treatment on the surface modification of Li-rich Mn-based cathode materials for Li-ion batteries’ by Maximilian Mellin et al., Mater. Adv., 2023, 4, 3746–3758, https://doi.org/10.1039/D3MA00236E.

Machine-learning methods (ML) have shown great potential in the adaptive immune receptor repertoire (AIRR) field. However, there is a lack of large-scale ground-truth experimental AIRR data suitable for AIRR-ML-based disease diagnostics and therapeutics discovery. Simulated ground-truth AIRR data are required to complement the development and benchmarking of robust and interpretable AIRR-ML approaches where experimental data is inaccessible or insufficient as of yet. The challenge for simulated data to be useful is the ability to incorporate key features observed in experimental repertoires. These features, such as complex antigen or disease-associated immune information, cause AIRR-ML problems to be challenging. Here, we introduce LIgO, a modular software suite, which simulates AIRR data for the development and benchmarking of AIRR-based machine learning. LIgO incorporates different types of immune information both on the receptor and the repertoire level and preserves native-like generation probability distribution. Additionally, LIgO assists users in determining the computational feasibility of their simulations. We show two examples where LIgO simulation supports the development and validation of AIRR-ML methods: (1) how individuals carrying out-of-distribution immune information impacts receptor-level prediction performance and (2) how immune information co-occurring in the same AIRs have an impact on the performance of conventional receptor-level encoding and repertoire-level classification approaches. The LIgO software guides the advancement and assessment of interpretable AIRR-ML methods.

Imaging and microscopy have played a very important role in biological research. In this commentary, we have provided a summary of the development of different imaging modalities and quantitative techniques as an introduction. We have briefly described the technique Statistical Parametrization of Cell Cytoskeleton (SPOCC) and evaluated it against similar techniques available. We have also discussed the advantages, short comings and future prospective of SPOCC both technically and biologically.