Multiple Applications Research Articles

Microalgae bioprospecting for the food industry: insights into the autotrophic biomass production and macromolecular accumulation of four microalgal species.

In this study, four microalgal strains were evaluated for their biomass production capacity and macromolecule biosynthesis. These include three strains from the phylum Chlorophyta: Monoraphidium sp. LB2PC 0120, Stichococcus sp. LB2PC 0117, and Tetraselmis sp. LB2PC 0320, and one strain from the phylum Haptophyta: Isochrysis sp. LB2PC 0220. The experiments were conducted under typical laboratory-scale setups. Additionally, phylogenetic analysis based on the 18-28S rRNA internal transcribed spacer (ITS) was performed to validate the taxonomic identity of the strains. Each strain was exposed to four different cultivation conditions based on two levels of illumination intensity [25-(LI) and 50-(HI) µmol m- 2 s- 1] and nitrogen loading [100-(LΝ) and 300-(HΝ) mg NaNO3 L- 1] in a full factorial design. All the microalgae achieved maximum biomass production under HI-HN conditions, which amounted to 1495, 919, 844, and 708mg/L for Monoraphidium sp. LB2PC 0120, Stichococcus sp. LB2PC 0117, Tetraselmis sp. LB2PC 0320 and Isochrysis sp. LB2PC 0220, respectively, after 16 days of cultivation. Among them, Stichococcus sp. LB2PC 0117 had the highest protein content (49.9% wt.) under LI-HN conditions and Monoraphidium sp. LB2PC 0120 had the highest lipid content (44.3% wt.) under HI-LN conditions. Both Monoraphidium sp. LB2PC 0120 and Tetraselmis sp. LB2PC 0320 accumulated the highest carbohydrate content (~ 37% wt.) under LI-LN and HI-LN conditions, respectively. Based on biomass and macromolecule production, Monoraphidium sp. LB2PC 0120 was identified as the most promising candidate for upscaling studies, expecting its highly manipulatable compositional profile to support multiple applications in the food industry, rendering this microalga a valuable resource.

Using microbes to suppress overwintering inoculum of Monilinia laxa on mummified fruits and to protect cherry blossoms and fruit from infection

Cherry brown rot, primarily caused by Monilinia laxa, poses a significant threat to cherry production in the UK. Traditional control methods are labour-intensive or environmentally damaging, favouring alternative solutions such as using biological control agents (BCAs). This study investigated the survival and efficacy of two BCAs, Bacillus subtilis (B91) and Aureobasidium pullulans (Y126), in reducing M. laxa populations on mummified fruits and cherry blossoms. Field experiments were conducted to assess the survival of B91 and Y126 on mummified fruits over winter and their effect on M. laxa sporulation in spring. Additionally, the efficacy of the two BCAs when applied to cherry blossoms was evaluated, at different times of application relative to M. laxa inoculation. Y126 could persist on blossoms and throughout the growing season. B91 population level declined rapidly on blossoms but recovered once fruits appeared. Neither BCA usefully reduced the concentration of M. laxa. Y126 was marginally more effective at long-term reduction. On mummified fruits, Y126 population size declined rapidly within the first two weeks after inoculation before stabilising. B91 survived slightly longer. Longer interaction times between M. laxa and the BCAs in the late winter resulted in lower spore counts of M. laxa from mummified fruits. While both BCAs reduced M. laxa populations when applied close to M. laxa inoculation, BCA populations were not maintained at effective levels throughout the growing season. These results suggest that multiple applications targeting critical periods (blossom and pre-harvest) are necessary for effective control of M. laxa by either of these BCAs.

Extended new Painlevé integrable KdV--CBS equation: multiple shocks, lump, breathers, and other physical wave solutions

Abstract In this work, we construct a new evolutionary equation with multiple applications in fluids and engineering. We call it the extended (3+1)-dimensional KdV-CBS equation, an extension of the (3+1)-dimensional KdV-Calogero-Bogoyavlenskii-Schiff (KdV-CBS) equation. We apply the Painlevé integrability test to examine the compatibility conditions of this new extended model before analyzing and solving it. Subsequently, we implement the simplified Hirota's method (SHM) to analyze this model, deriving multiple soliton/shock and lump solutions, as well as breather wave solutions, based on the derived dispersion relation, with the assistance of advanced computational programs like Maple and Mathematica. Furthermore, many other techniques, such as the Tanh method and different exponential formulas, will be used to derive different physical solutions that may simulate many nonlinear phenomena that arise in fluid or plasma physics.

Current Feasibility of Urologic Telesurgery in Low/Middle Income Countries

It is estimated that nearly five billion people do not have access to surgical care. Approximately 94% of individuals in low- and middle-income countries (LMICs) lack access to surgery in comparison to 14.9% in high-income countries (HICs). There are several urologic conditions requiring surgical intervention that are not treated because of the limited number of expert urologists in LMICs. Telesurgery is a concept that connects patients and surgeons in different locations through the use of a robotic surgery system. In this review, we explain the origins of telesurgery as well as the benefits and obstacles to its global implementation. Telesurgery can reduce travel times and the dangers associated with traveling for surgical care in LMICs. Additionally, telesurgery allows patients in LMICs to gain access to expert urologists while also providing effective training to upcoming surgeons. However, LMICs require substantial investment to improve digital infrastructure that will support urologic telesurgery. There will also be ethical, legal, and policy considerations that will need to be resolved for safe and equitable urologic telesurgery to occur. There have been multiple successful applications of urologic telesurgery, suggesting that the technology for this to become routine is already available. The time for international collaboration must begin now to reduce global disparities in access to urologic surgery.

Analisis Faktor-faktor Yang Mempengaruhi Tingkat Pertumbuhan Ekonomi di Provinsi Banten

The aim of this research is to evaluate the variables that have an influence on the level of economic growth in Banten province in 2022. Employment level, human development index, unemployment rate, poverty level and level of income inequality are some of the variables studied. Using descriptive methodology, secondary data using the SPSS multiple linear regression application method from BPS Banten province is used to describe economic phenomena realistically. It is hoped that the results of the study will broaden insight into various factors that influence economic growth in Banten province. Findings-according to this research, only the labor force participation rate has a meaningful influence on economic development, while the human resource development index, the level of welfare deprivation, the level of lack of employment opportunities, and the level of income inequality are statistically insignificant. Engagement-This research can provide valuable knowledge about the elements that influence economic growth, which can be used to make decisions in the future.

Advances in Valorization of Biomass-Derived Glycolic Acid Toward Polyglycolic Acid Production

Glycolic acid (GA) is a versatile two-carbon organic chemical with multiple applications in industry and daily life. Currently, GA production depends heavily on the coal chemical industry. In this context, the sustainable production of GA from renewable resources has garnered significant attention. With the design and development of various catalytic systems, the yield of GA from biomass-based feedstocks has been improved observably. Poly(glycolic acid) (PGA) is an aliphatic polyester that exhibits a unique crystalline structure, excellent gas barrier properties, high mechanical strength, superior biocompatibility, and biodegradability. It has a wide range of applications in various fields, such as medical devices, oil extraction, bottle materials, film materials, and textile materials. This article comprehensively elaborates on the methods for the biomass-based synthesis of glycolic acid, the precursor of polyglycolic acid (PGA), as well as the preparation process of PGA. It fills the research gap regarding the sources of biomass raw materials for polyglycolic acid. Additionally, it delves into various modification strategies for PGA and provides an overview of its current applications in multiple fields, including biomedicine, food packaging materials, oil and gas resource development, and agricultural cultivation. The purpose of this article is to provide comprehensive reference information on the synthesis techniques, modification methods, and practical applications of PGA. Furthermore, it offers guidance for research on biodegradable plastics and the biomass-based synthesis of glycolic acid.

Technical, Economic and Environmental Assessment of Xylitol Production in a Biorefinery Platform Toward a Circular Economy

New biobased processes and products are emerging to replace conventional ones in the search for sustainable development. Xylitol is one of the most commercially valuable products from xylan-rich lignocellulosic biomass. Xylitol has multiple applications in the pharmaceutical, food, nutraceutical, and beverage industries. Recent research focuses on obtaining xylose from low-cost lignocellulosic materials through the biological route, optimizing xylitol conversion, improving byproduct removal, and increasing crystallization speed. The biological route can be an environmentally friendly alternative due to the possibility of lower energy demand and utilizing renewable feedstocks which are key factors to reach sustainability. Several integration strategies are being evaluated and are critical to developing a commercial platform. Process integration can considerably reduce the demand for energy and reagents. Also, the value-added products produced alongside xylitol are crucial, and these products are usually energy generation and bioethanol. Further, new value-added products show promising results and are relevant to improving the economic performance of the processes. The market trends of xylitol are expected to reach close to USD 1.5 billion in 2030. In addition, the improvement needed in the conversion steps and obtained yields, producing commercial-scale xylitol through the biological route, is a promising alternative to finding a more sustainable way to produce xylitol.

Multiple Nitrogen Sources Application Inhibits Increasing Ammonia Volatilization Under Reducing Irrigation

Farmland ammonia (NH3) volatilization is an important source of NH3, and the application of chemical fertilizer nitrogen (N) is the main factor affecting NH3 volatilization. The optimal substitution of chemical fertilizer with organic manure and straw reportedly reduces NH3 volatilization, while reducing irrigation increases NH3 volatilization. However, the combined effect of nitrogen fertilizer substitution and reducing irrigation on NH3 volatilization and the role of microorganisms in this process remains unclear. In a soil column experiment, NH3 volatilization and microbial composition were measured under both multiple N sources and different irrigation levels by the vented-chamber method and metagenomic sequencing. The results revealed that multiple N sources application reduced cumulative NH3 volatilization by 16.5–75.4% compared to single chemical fertilizer application, and the decreasing trend of NH3 volatilization under reduced irrigation conditions was greater. Microorganisms had a more important effect on NH3 volatilization of reduced irrigation than conventional irrigation. The abundance of nirA, arcC, E3.5.1.49, and E3.5.5.1 (ammonia-producing) genes varied significantly at the two irrigation levels. Overall, multiple N sources could inhibit NH3 volatilization increasing under reducing irrigation compared to a single chemical fertilizer. Our findings contribute valuable insights into the combined effect of reduced irrigation and multiple N sources on NH3 volatilization.

Recent Advances in Enhancing the Sensitivity of Biosensors Based on Field Effect Transistors

AbstractBiosensors based on field effect transistor (FET), also known as Bio‐FETs, offer numerous advantages, including high sensitivity, rapid response speed, low operating voltage, compact size, high reliability, and easily integrative. These features endow Bio‐FETs with tremendous performance in rapid analysis for samples with ultra‐low concentration at large‐scale, broadening their multiple potential applications. In recent years, the research based on Bio‐FETs has attracted more and more attention. A lot of effort is put into the challenge to improve their sensitivity, which can be influenced by various factors. This review focuses on the current approaches from multiple perspectives, including overcoming the influence of Debye shielding effects, promoting the binding efficiency of analytes and FETs surface, and improving the structures of FETs device. Correspondingly, novel strategies to increase the Debye length, facilitate high frequency electric field modulation, enhance the specific interaction efficiency, and enlarge the specific surface area (SBET) are also summarized. Additionally, there is a lack of a reliable standard method to characterize the sensitivity of FETs currently. Regarding this issue, the most commonly used definitions and representation parameters of sensitivity are also evaluated. Overall, this review outlines the potential future research directions to offer insights for enhancing the sensitivity of Bio‐FETs.

Preventing Workload Interference with Intelligent Routing and Flexible Job Placement Strategy on Dragonfly System

Dragonfly is an indispensable interconnect topology for exascale HPC systems. To link tens of thousands of compute nodes at a reasonable cost, Dragonfly shares network resources with the entire system such that network bandwidth is not exclusive to any single application. Since HPC systems are usually shared among multiple co-running applications at the same time, network competition between co-existing workloads is inevitable. This network contention manifests as workload interference, where a job’s network communication can be severely delayed by other jobs. This study presents a comprehensive examination of leveraging intelligent routing and flexible job placement to mitigate workload interference on Dragonfly systems. Specifically, we leverage the parallel discrete event simulation toolkit, SST, to investigate workload interference on Dragonfly with three contributions. We first present Q-adaptive routing, a multi-agent reinforcement learning routing scheme, and a flexible job placement strategy that, together, can mitigate workload interference based on workload communication characteristics. Next, we enhance SST with Q-adaptive routing and develop an automatic module that serves as the bridge between SST and HPC job scheduler for automatic simulation configuration and automated simulation launching. Finally, we extensively examine the workload interference under various job placement and routing configurations.

Bioinspired multifunctional silver nanoparticles by Smilax Chenensis and their enhanced biomedical and catalytic applications

Currently, Nano-materials have been explored for their abundant biomedical applications. In the present study the green synthesized (SC-AgNPs) by root extract of Smilax Chenensis have been characterized by UV–visible spectroscopy revealed SPR peak at 432 nm and FT-IR data reveals that the bioactive components of root extract have been actively involved in the reduction and stabilization of SC-AgNPs. TEM and AFM results revealed that SC-AgNPs were roughly spherical in shape. Further, the particle size of SC-AgNPs was also carried out by Dynamic Light Scattering method by aqueous colloidal solution and the results reveals that the SC-AgNPs are poly-dispersed in nature with an average size 45.6 nm with a Z average of 39.5 nm. The stability of colloidal SC-AgNPs was further confirmed by negative zeta potential value of − 21.0 mV. The SC-AgNPs showed good antibacterial activity against both gram –ve and gram + ve bacteria, whereas, SC-AgNPs coupled with antibiotic reveals excellent and enhanced antibacterial activity. The gram –ve E.coli and gram + ve S.aureus revealed highest zone of inhibition when compared to other two bacterial species. So, SC-AgNPs coupled with antibiotics can be excellent alternative to treat antibiotic resistant bacteria. The SC-AgNPs also reveals excellent antioxidant activity among them DPPH method revealed superior activity with an IC50 value76.22. The SC-AgNPs also reveals superior anticancer activity against MDA-MB-231 with IC50 value of 33.98 µg/mL and photo-catalytic activity the optical density of reduced from 1.861 to 0.135 OD within 30 min. The green SC-AgNPs detected to have multiple therapeutic applications.

Development and Psychometric Properties of a Scale of Teachers’ Coping Strategies Towards the Evaluation of Performance in Public Schools

Teaching evaluation performance is an important policy adopted by the governing body of education in Peru to promote the growth of educational quality, professional development, and continuous training of teachers, as well as to ensure educational quality standards, especially in Peruvian elementary education. Therefore, this research aims to develop and evaluate the psychometric properties of a scale that measures the coping strategies adopted by elementary education teachers when evaluating their performance. A study was conducted with 317 teachers between 20 and 70 years old (M = 43.6, SD = 11.8) in public education, from preschool (10.4%) to secondary (24.9%) educational levels, including special and alternative education, and with employment status of contracted (46.1%) and appointed (53.9%). An exploratory factor analysis was performed, from which four factors emerged. These factors were then corroborated by confirmatory factor analysis (χ2 = 162, df = 13, CFI = 0.968, TLI = 0.961, RMSEA = 0.061, and SRMR = 0.056) and were named as follows: maladaptive coping, adaptive individual coping, religious coping, and instrumental support coping. Internal reliability was high for the full scale and dimensions (α and ω > 0.8), indicating that it was free of random error, yielding the same results across multiple applications for the same sample. It is concluded that the scale of teachers’ coping strategies towards the evaluation of performance (STCEP) is a valid and reliable instrument to measure coping strategies adopted by elementary education teachers in response to performance evaluation.

Application Discrepancies in the 2023-2024 Integrated Plastic Surgery Match.

The Plastic Surgery Common Application (PSCA) was introduced in the 2020-2021 integrated plastic surgery match cycle. We investigated the accuracy of medical student-reported quantitative metrics in the PSCA. Quantifiable data from 1 year of PSCA applications were compared between matched and unmatched students. Discrepancies were identified by reviewing publicly available data and from Electronic Residency Application Service (ERAS) applications. A total of 330 PSCAs were analyzed and divided into two groups: matched (n = 196) and unmatched (n = 134). Of the 71 medical schools with multiple applicants, 23.9% (17/71) and 31.0% (22/71) had contradicting reports of Alpha Omega Alpha and Gold Humanism Honor Society availability. Three matched applicants, with an average numeric Step 1 score of 228, reported scores as "pass." Four applicants did not disclose a prior failing Step 1 score. More matched students had research discrepancies than unmatched students for first author (56%, 111/196; 50%, 67/132; P = 0.24) and total publications (66.8%, 131/196; 53%, 71/134; P = 0.011). The mean discrepancy number between matched and unmatched students was similar for first author (3.0 vs 3.2, P = 0.61) and total publications (4.3 vs 4.5, P = 0.61). Reasons for discrepancies included counting accepted articles (20.2%), submitted articles (7.5%), non-peer reviewed (3.1%) articles, and other endeavors (6.2%) in publication counts, with 52% of applicants having multiple reasons for discrepancies. Matched and unmatched applicants applying to plastic surgery had honor society and Step 1 score discrepancies, and inaccurate research reporting. NBME score verification and PubMed indexing may be a warranted addition to PSCA applications to guarantee application consistency.

Colorimetric and fluorimtric microenvironment responsivity of oxazolidine in solvatochromic latex nanoparticles: Versatile intelligent polymeric materials with advanced applications

Oxazolidine, a new category of stimuli-chromic dyes, has displayed a wide range of responsivities, such as halochromism, solvatochromism, ionochromism, and hydrochromism. The optical properties of oxazolidine molecules can be influenced notably by the polarity of solvent, media, and polymer nanoparticles. In this study, multi-functionalized acrylic latex nanoparticles containing different polar functional groups such as amide, amine, acid, hydroxyl, epoxide, and long-chain ester were synthesized by one-pot emulsion copolymerization. Prepared latex nanoparticles have a mean particle size in the range of 45–170 nm and spherical or non-spherical (anisotropic) morphologies depending on the polarity of functional groups. To prepare multi-color photoluminescent latex nanoparticles and investigation of solvatochromism in both colloidal solution and solid phase, as prepared multi-functionalized latex nanoparticles were modified physically with an oxazolidine derivative (5 wt%). Investigation of the solvatochromism of the oxazolidine in colloidal solution and solid phase indicated that the media is the main effective parameter for solvatochromism in colloidal solution. In the case of solid-state solvatochromism, the optical properties of oxazolidine were influenced significantly by the polarity of functional groups, because the interactions of oxazolidine molecules with functional groups of latex nanoparticles is the main parameter that influenced the solvatochromism. The solvatochromic properties of oxazolidine in solid polymer powders are useful for developing multi-color photoluminescent materials with advanced applications in the dual-mode visualization of latent fingerprints (LFPs), anticounterfeiting solid inks, and organic light-emitting diodes (OLEDs). Results displayed potential applications of multi-color polymer powders for the detection of LFPs under visible light and UV-light irradiation, for printing of optical security tags, and construction of OLEDs. The presented study introduces a new category of multi-color solid photoluminescent nanomaterials with multiple applications using solvatochromic properties.

Multi-label learning on low label density sets with few examples

Multi-label learning has experienced an immense growth in the last years due to the multiple real-life applications to which it is applicable, such as the classification of protein functions, or musical genres, among others. This has led to the proposal of categories for multi-label classification (MLC) problems that seek to establish guidelines for the different configurations, given either by the quality or quantity of the labels, the number of examples for training, etc. Such is the case for the class of problems known as “Challenging MLC”, those in which the universe of labels incorporates obstacles either in terms of quality (erroneously assigned labels, unseen labels, etc.) or quantity (thousands or millions of labels). Different methods have been developed to address these cases, and yet few efforts have been directed towards the case where, despite having a large label universe, the number of examples is small (of the same order as the labels), thus posing a more complex scenario. In this paper, we examine one important real-world problem case – the labeling of Geometric surface patterns, appearing on pottery objects from the Classical era. As we will show, existing methods from the state of the art can provide baseline performance, but cannot yet comprehensively address this and similar application problems. We present and encompassing experimental comparison of state of the art methods, detailing advantages and problems. We contribute a processing pipeline that allows us to achieve effective classifications. Our work addresses the importance case when the universe of labels admits a feasible simplification through natural language processing (NLP) techniques and augmentation of visual training data. Based on an in-depth analysis of results, we propose practical guidelines on how to face similar problems, regarding both the selection of techniques and the analysis of results. We also identify pressing issues for current research to make multi-labeling more widely applicable and functional.

Design and Optimizing of Precision Seeder of Pinus sylvestris var. mongolica L. Bud-Seeds for Containerized Nursery Production

Mongolian pine holds immense ecological and economic values as a vital biobased material. Its wood fiber, rosin and turpentine are important raw materials suitable for multiple industrial applications, it also exhibited soil and water conservation capabilities. To improve its seeding efficiency, this study designed a precision seeding machine for Mongolian pine (Pinus sylvestris var. mongolica L.) bud-seeds, and optimized the technical seeding parameters, which utilized a combined vibration-air blowing fluidization device to overcome seed flowability limitations and facilitate accurate seed selection. A particle model was established based on the seeds’ physical characteristics, and EDEM software was utilized to simulate the spatial distribution of seed particles under various seeding parameters through seeding experiments. The optimal air pressure for the combined seed supply was approximately 0.24 kPa, with a frequency of 20 Hz and an amplitude of 5 mm, to obtain an optimal spatial distribution of the seed particles. The most effective seeding area for seed adhesion was determined to be 5–15 mm from the bottom of the seeding plate. When the seed suction negative pressure is set to 6.7 kPa, with an upper hole diameter of 0.9 mm, a lower hole diameter of 3 mm, and a hole depth of 1.5 mm, the seedling emergence rate reached 89.06%, and the fastest emergence time was 2 days. One month after sowing, the seedlings exhibited a height growth rate of 16.1%, and a ground diameter growth rate of 20.9%. This study demonstrates the effectiveness of the precision seeding machine and optimized parameters in achieving efficient and accurate sowing of Mongolian pine bud-seeds. This work provides basic technical and data support for advancing the development and sustainable utilization of Mongolian pine as a vital biobased material resource.

Identificación del acento en hablantes de español mediante el análisis de atributos MFCC y aprendizaje supervisado

Speaker recognition has multiple real-life applications. The purpose of this study is to determine the feasibility of classifying samples of human speech, specifically Spanish speakers, based on their distinctive accents. In this work, Mel-Frequency Cepstral Coefficients (MFCC) combined with machine learning techniques were used to identify the nationality of Spanish-speaking individuals through voice recordings obtained from the Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech corpus. Data preprocessing was performed by extracting 50 MFCC from each recording, which formed the dataset for experimentation. Experiments were conducted with different subsets, and the best results were obtained with individuals from four Latin American countries, including both males and females. Neural networks were employed for the classification stage, achieving an accuracy of 99.84%.

Controllable synthesis and multiple applications of multi-color sp2c-covalent organic frameworks based on side-chain regulation

A series of sp2c-covalent organic frameworks (COFs) (CPTDD-TPA-CH = CH2, CPTDD-TPA and CPTDD-TPA-OCH3) were obtained by the reaction of 2,2′-(5′-(4-(cyanomethyl) phenyl)-[1,1′:3′,1′’-terphenyl]-4,4′’-diyl) diacetonitrile (CPTDD) with 2,5-divinylterephthalaldehyde (TPA-CH = CH2), terephthalaldehyde (TPA) and 2,5-dimethoxyterephthalaldehyde (TPA-OCH3), respectively. The D-π-A structure is formed by using the –CN in the sp2c-COF connection unit as the electron-deficient unit, the benzene ring as the electron-rich group, and the vinyl group as the π bridge, which usually has the ICT effect. Through the selection of the side chain on the benzene ring, the regulation of the electron-donating properties of the benzene ring is realized, and the ICT degree of COFs is further changed. According to the degree of ICT from weak to strong, the emission color changes from green (CPTDD-TPA-CH = CH2: 511 nm) to orange (CPTDD-TPA: 534 nm) to orange-red (CPTDD-TPA-OCH3: 589 nm). These sp2c-COFs were eventually used to construct furantion (NFT)detection array and anti-counterfeiting code. This study presents a way of thinking about tuning the emission wavelength of LCOFs. Therefore, plentiful optical behaviors and widespread applications were exhibited, including but not limited to (1) the response of COFs to NFT for fluorescence sensing and visual detection, (2) encryption and decryption of information by tunable color from blue to red with the excitation from 370 nm and (3) white emission obtained at an excitation of 370 nm. This work disclosed the factors that affect the emission of COFs, studied their optical behaviors and developed a variety of applications.

Unsupervised hindi word sense disambiguation using graph based centrality measures

The task of word sense disambiguation (WSD) plays a key role in multiple applications of natural language processing. In this paper, we propose a novel unsupervised method for targeted Hindi WSD task. First, we create a weighted graph where the nodes correspond to various synsets of the target word and the neighboring context words. The edges in the graph represent the semantic relations between these synsets in the Hindi WordNet hierarchy. A path-based similarity measure, namely Leacock-Chodorow similarity measure, is used to assign weights to edges. An unsupervised weighted graph-based centrality algorithm is used to identify the correct sense of a target word in a given context. The performance of the proposed algorithm is measured on 20 ambiguous Hindi nouns using four different graph-based centrality measures. We observed a maximum accuracy of 66.92% using PageRank centrality measure which is significantly better than earlier reported graph-based Hindi WSD algorithmsevaluated on the same dataset.

Magnetically tunable bound states in the continuum with arbitrary polarization and intrinsic chirality

Bound states in the continuum (BICs), which are exotic localized eigenstates embedded in the continuum spectrum and exhibit topological polarization singularities in momentum space, have recently attracted great attention in both fundamental and applied physics. Here, based on a magneto-optical (MO) photonic crystal (PhC) slab placed in external magnetic fields with time-reversal symmetry (TRS) breaking, we theoretically propose magnetically tunable BICs with arbitrary polarization covering the entire Poincaré sphere and efficient off-Γ chiral emission of circularly polarized states (C point). More interestingly, by further breaking the in-plane inversion symmetry of the MO PhC slab to generate a pair of C points spawning from the eliminated BICs and tuning the external magnetic field strength to move one C point to the Γ point, an at-Γ intrinsic chiral BIC exhibits chiral characteristics on both sides of the PhC slab with near-unity circular dichroism exceeding 0.99 and a high-quality factor of 46,000 owing to the preserved out-of-plane mirror symmetry. Moreover, the chirality of the chiral BICs can be inverted by flipping the magnetic bias. Our work opens an unprecedented avenue to explore the unique topological photonics of BICs with broken TRS and promises multiple applications in chiral-optical effects, structured light, and tunable optical devices.