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Background: Measurement of rat anogenital distance (AGD) dates to at least 1912. Increased interest in endocrine disrupting chemicals and the use of AGD as a biomarker for fetal androgen effects have increased the number of studies with this endpoint in recent decades. A literature review revealed different landmarks, methods of measurement, and methods to adjust for body weight differences. AGD is often reported to hundredths of millimeters and as such, deserves precision in all these aspects. This paper presents recommendations for the measurement and analysis of rodent AGD. Methods: Literature and regulatory guidance documents that mentioned or measured rodent AGD were reviewed. Four adjustment methods were evaluated using available online data from three rat studies each with two generations of offspring. Results: Tabulation of studies reveals that species/stocks and time of data collection, but more importantly anatomical landmarks and methods of measurement have produced a variety of results which are difficult to compare. Not all studies have adjusted for test article effects on body weight (and thus size). The four adjustment methods were fairly comparable. Conclusion: Recommendations are as follows. A microscopic method should be used to measure AGD of late rodent fetuses and early postnatal pups. The caudal edge of the genital tubercle and the cranial edge of the anus are clear and identifiable landmarks. The simplest adjustment is to divide individual AGDs by the cube root of animals' body weight. These recommendations will help ensure data consistency and accuracy, and facilitate meaningful comparisons across laboratories and chemical classes. [ABSTRACT FROM AUTHOR]

This paper analyzes Agi poetry and utilizes the Panayanon concept of power called gahum as its critical framework. Philippine gay literature unfurled after the publication of Ladlad: An Anthology of Philippine Gay Writing (1994) and continues to reach higher grounds. However, gay criticism has been too focused on the discourse of the Manila bakla and not much has been said about indigenous models of queerness in the regions. As agi is an indigenous articulation of homosexuality in Panay in Central Philippines, this paper traces the connection of the agi's attendant performance (kaagian) with the indigenous tradition of babaylanism. By investigating the strong presence of babaylanic imagery in agi poetry, this study attempts to unravel the connection of kaagian with a precolonial form of power called gahum, which is deeply attuned to the animist spatiality of Panay. The babaylan is a shaman, culture bearer, and political leader that embodies physical and spiritual gahum that go beyond the human realm. By exploring the interconnected concepts of kaagian, gahum, and babaylanism, this critical study reveals that agi writers champion the image of the babaylan to subvert colonial-imposed hegemonies and decolonize the agi identity. [ABSTRACT FROM AUTHOR]

This study investigates the strategic decision-making abilities of large language models (LLMs) via the game of Tic-Tac-Toe, renowned for its straightforward rules and definitive outcomes. We developed a mobile application coupled with web services, facilitating gameplay among leading LLMs, including Jurassic-2 Ultra by AI21, Claude 2.1 by Anthropic, Gemini-Pro by Google, GPT-3.5-Turbo and GPT-4 by OpenAI, Llama2-70B by Meta, and Mistral Large by Mistral, to assess their rule comprehension and strategic thinking. Using a consistent prompt structure in 10 sessions for each LLM pair, we systematically collected data on wins, draws, and invalid moves across 980 games, employing two distinct prompt types to vary the presentation of the game's status. Our findings reveal significant performance variations among the LLMs. Notably, GPT-4, GPT-3.5-Turbo, and Llama2 secured the most wins with the list prompt, while GPT-4, Gemini-Pro, and Mistral Large excelled using the illustration prompt. GPT-4 emerged as the top performer, achieving victory with the minimum number of moves and the fewest errors for both prompt types. This research introduces a novel methodology for assessing LLM capabilities using a game that can illuminate their strategic thinking abilities. Beyond enhancing our comprehension of LLM performance, this study lays the groundwork for future exploration into their utility in complex decision-making scenarios, offering directions for further inquiry and the exploration of LLM limits within game-based frameworks. [ABSTRACT FROM AUTHOR]

This paper examines the toponymic heritage used in Kenya's Authoritative Geographic Information (AGI) toponyms database of 26,600 gazetteer records through documentation and characterization of meanings of place names in topographic mapping. A comparison was carried out between AGI and GeoNames and between AGI and OpenStreetMap (OSM) volunteered records. A total of 15,000 toponymic matchings were found. Out of these, 1567 toponyms were then extracted for further scrutiny using AGI data in the historical records and from respondents on toponyms' meanings. Experts in toponymy assisted in verifying these data. From the questionnaire responses, 235 names occurred in more than one place while AGI data had 284. The elements used to characterize the toponyms included historical perceptions of heritage evident in toponyms in their localities, ethnographic, toponymical and morphology studies on Kenya's dialects. There was no significant relationship established between the same place name usages among dialects as indicated by a positive weak correlation r (438), = 0.166, p < 0.001 based on the effect of using the related places and the distance between related places. The weak correlation implies that the one name one place principle does not apply due to diverse language boundaries, strong bonds associated with historical toponyms in the form of heritage and significant variations on how names resist changes to preserve their heritage. [ABSTRACT FROM AUTHOR]

Landgrebe and Smith (2022) have recently offered an important mathematical argument against the possibility of Artificial General Intelligence (AGI): human intelligence is a complex system; complex systems have some properties that cannot be modelled mathematically; hence we have no viable way to build an AI that would be able to emulate human intelligence. The issue of complexity is thus at the heart of the Landgrebe and Smith approach, and they tackle this issue by postulating a set of conditions, derived from mathematics, for a system to be complex. I argue that Hayek's "Theory of Complex Phenomena" offers an interesting alternative path to understanding what makes complex systems complex. This offers an argument complementary to that of Landgrebe and Smith, which approaches the issue of complexity from an ontological angle, and which is designed to show that AI systems are not the right kind of entity that may interact meaningfully with complex systems. [ABSTRACT FROM AUTHOR]

Copyright of Kairos: Evandeoski Teoloski Casopis is the property of Biblical Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Kairos: Evangelical Journal of Theology is the property of Biblical Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The impact of complexity within government and societal systems is considered relative to the limitations of human cognitive bandwidth, and the resulting reliance on cognitive biases and systems of automation when that bandwidth is exceeded. Examples of how humans and societies have attempted to cope with the growing difference between the rate at which the complexity of systems and human cognitive capacities increase respectively are considered. The potential of and urgent need for systems capable of handling the existing and future complexity of systems, utilizing greater cognitive bandwidth through scalable AGI, are also considered, along with the practical limitations and considerations in how those systems may be deployed in real-world conditions. Several paradoxes resulting from the influence of prolific Narrow Tool AI systems manipulating large portions of the population are also noted. [ABSTRACT FROM AUTHOR]

Trust is believed to be a foundational cornerstone for artificial intelligence (AI). In April 2019 the European Commission High Level Expert Group on AI adopted the Ethics Guidelines for Trustworthy AI, stressing that human beings will only be able to confidently and fully reap the benefits of AI if they can trust the technology. Trustworthy AI is defined as ethical, lawful and robust AI. Three things strike me about the EC Guidelines. Firstly, though building trust in AI seems to be a shared aim, it is not explicated what trust is, and how it can be built and maintained. Secondly, the Guidelines ignore the widespread distinction made in philosophical literature between trust and reliance. Thirdly, it is not clear how the values have been selected with which AI has to align and what would happen if they came into conflict. In this paper, I shall provide a conceptual analysis of trust in contrast to reliance and ask when it is warranted to talk about trust in AI and trustworthy AI. I shall show how trust and risk are related and what benefits and risks are associated with narrow and general AI. Also, I shall point out that metaphorical talk about ethically aligned AI ignores the real disagreements we have about ethical values. [ABSTRACT FROM AUTHOR]

Photocatalytic degradation, as a very significant advanced oxidation technology in the field of environmental purification, has attracted extensive attention in recent years. The design and synthesis of catalysts with high-intensity photocatalytic properties have been the focus of many researchers in recent years. In this contribution, two new supramolecular materials {[(L1)·(Ag4I7)]CH3CN} (1), {[(L2)·(Ag4I7)]CH3CN} (2) were synthesized by solution volatilization reaction of two cationic templates 1,3,5-Tris(4-aminopyridinylmethyl)-2,4,6-Trimethylphenyl bromide (L1) and 1,3,5-Tris(4-methyl pyridinyl methyl)-2,4,6-trimethylphenyl bromide (L2) with metal salt AgI at room temperature, respectively. The degradation effect of 1 and 2 as catalyst on tetracycline (TC) under visible light irradiation was studied. The results showed that the degradation of TC by 1 was better than that by 2 and both of them had good stability and cyclability. The effects of pH value, catalyst dosage, and anion in water on the photocatalytic performance were also investigated. The adsorption kinetics fit the quasi-first-order model best. After 180 min of irradiation with 1, the degradation rate of TC can reach 97.91%. In addition, the trapping experiments showed that ·OH was the main active substance in the photocatalytic degradation of TC compared with ·O2− and h+. Because of its simple synthesis and high removal efficiency, catalyst 1 has potential value for the treatment of wastewater containing organic matter. [ABSTRACT FROM AUTHOR]

Most Artificial Intelligence (AI) implementations so far are based on the exploration of how the human brain is designed. Nevertheless, while significant progress is shown on specialized tasks, creating an Artificial General Intelligence (AGI) remains elusive. This manuscript proposes that instead of asking how the brain is constructed, the main question should be how it was evolved. Since neurons can be understood as intelligent agents, intelligence can be thought of as a construct of multiple agents working and evolving together as a society, within a long-term memory and evolution context. More concretely, we suggest placing Multiple Neighborhood Cellular Automata (MNCA) on a blockchain with an interaction protocol and incentives to create an AGI. Given that such a model could become a "strong" AI, we present the conjecture that this infrastructure is possible to simulate the properties of cognition as an emergent phenomenon. [ABSTRACT FROM AUTHOR]

Endgame studies have long served as a tool for testing human creativity and intelligence. We find that they can serve as a tool for testing machine ability as well. Two of the leading chess engines, Stockfish and Leela Chess Zero (LCZero), employ significantly different methods during play. We use Plaskett's Puzzle, a famous endgame study from the late 1970s, to compare the two engines. Our experiments show that Stockfish outperforms LCZero on the puzzle. We examine the algorithmic differences between the engines and use our observations as a basis for carefully interpreting the test results. Drawing inspiration from how humans solve chess problems, we ask whether machines can possess a form of imagination. On the theoretical side, we describe how Bellman's equation may be applied to optimize the probability of winning. To conclude, we discuss the implications of our work on artificial intelligence (AI) and artificial general intelligence (AGI), suggesting possible avenues for future research. [ABSTRACT FROM AUTHOR]

This paper introduces a facile and effective route to decorate micro-sized silver particle surfaces with Ag/AgI nanoclusters through a wet chemical reaction at room temperature using iodine and ethanol as reactant and solvent, respectively. Photosensitivity of AgI is utilized in the route, and AgI decomposes into Ag upon contact with sunshine, forming Ag/AgI nanoclusters. The modified micro-sized Ag particles showed sinterability even at 200°C and formed rigid electrical conductive networks at 350°C. Moreover, sintered film containing the modified Ag particles reached the best conductivity, 9.35 mΩ/sq, after sintering at 350°C for 20 min, while the film with untreated control Ag particles obtained its best conductivity at 400°C. The excellent sinterability should be attributed to the nanoclusters which served as a sintering aid during the heating process. However, increase of sintering temperature and time destroyed densification and conductivity of the sintered film containing the modified particles. [ABSTRACT FROM AUTHOR]

Methods of improving the state and rate of progress within the domain of philosophy using collective intelligence systems are considered. By applying mASI systems superintelligence, debiasing, and humanity’s current sum of knowledge may be applied to this domain in novel ways. Such systems may also serve to strongly facilitate new forms and degrees of cooperation and understanding between different philosophies and cultures. The integration of these philosophies directly into their own machine intelligence seeds as cornerstones could further serve to reduce existential risk while improving both ethical quality and performance. [ABSTRACT FROM AUTHOR]

In order for strong artificial intelligence to generate human‐like belief, there must be an operational definition and a representation consistent with computer simulation. This article reviewed the research findings and theories on representation, generation, and adjustion of belief, and proposed a new three‐dimensional network psychological model of belief representation. Belief is represented in two forms, belief sentence and belief structure diagram, and consists of four key elements, which are belief content, belief value, grammar, and link. Based on this belief representation, this article expounded how belief generates and changes, and a possible abstract model for simulation by artificial general intelligence. [ABSTRACT FROM AUTHOR]

Despite the recent progress in AI powered by deep learning in solving narrow tasks, we are not close to human intelligence in its flexibility, versatility, and efficiency. Efficient learning and effective generalization come from inductive biases, and building Artificial General Intelligence (AGI) is an exercise in finding the right set of inductive biases that make fast learning possible while being general enough to be widely applicable in tasks that humans excel at. To make progress in AGI, we argue that we can look at the human brain for such inductive biases and principles of generalization. To that effect, we propose a strategy to gain insights from the brain by simultaneously looking at the world it acts upon and the computational framework to support efficient learning and generalization. We present a neuroscience-inspired generative model of vision as a case study for such approach and discuss some open problems about the path to AGI. [ABSTRACT FROM AUTHOR]

Artificial general intelligence (AGI) progression metrics indicate AGI will occur within decades. No proof exists that AGI will benefit humans and not harm or eliminate humans. A set of logically distinct conceptual components is proposed that are necessary and sufficient to (1) ensure various AGI scenarios will not harm humanity, and (2) robustly align AGI and human values and goals. By systematically addressing pathways to malevolent AI we can induce the methods/axioms required to redress them. Distributed ledger technology (DLT, "blockchain") is integral to this proposal, e.g., "smart contracts" are necessary to address the evolution of AI that will be too fast for human monitoring and intervention. The proposed axioms: (1) Access to technology by market license. (2) Transparent ethics embodied in DLT. (3) Morality encrypted via DLT. (4) Behavior control structure with values at roots. (5) Individual bar-code identification of critical components. (6) Configuration Item (from business continuity/disaster recovery planning). (7) Identity verification secured via DLT. (8) "Smart" automated contracts based on DLT. (9) Decentralized applications--AI software modules encrypted via DLT. (10) Audit trail of component usage stored via DLT. (11) Social ostracism (denial of resources) augmented by DLT petitions. (12) Game theory and mechanism design. [ABSTRACT FROM AUTHOR]

Compositions of nominal formula, AgI1− xCl x ( x=0-0.25) were prepared by soft chemical method. The synthesized compositions were characterized by various physicochemical techniques. The studies revealed the formation of solid solution of AgCl in AgI up to 5 mol %. The composition AgI0.95Cl0.05 exhibited marginally higher conductivity than AgI. Electrochemical sensors were assembled using AgI and AgI0.95Cl0.05. Iodine sensing properties of these two potentiometric sensors were elucidated. Preliminary results show that I2 can be sensed down to ∼10 vppm. [ABSTRACT FROM AUTHOR]

Rhamnogalacturonan I (RGI) is a pectic polysaccharide composed of a backbone of alternating rhamnose and galacturonic acid residues with side chains containing galactose and/or arabinose residues. The structure of these side chains and the degree of substitution of rhamnose residues are extremely variable and depend on species, organs, cell types and developmental stages. Deciphering RGI function requires extending the current set of monoclonal antibodies (mAbs) directed to this polymer. Here, we describe the generation of a new mAb that recognizes a heterogeneous subdomain of RGI. The mAb, INRA-AGI-1, was produced by immunization of mice with RGI oligosaccharides isolated from potato tubers. These oligomers consisted of highly branched RGI backbones substituted with short side chains. INRA-AGI-1 bound specifically to RGI isolated from galactan-rich cell walls and displayed no binding to other pectic domains. In order to identify its RGI-related epitope, potato RGI oligosaccharides were fractionated by anionexchange chromatography. Antibody recognition was assessed for each chromatographic fraction. INRA-AGI-1 recognizes a linear chain of (1→4)-linked galactose and (1→5)-linked arabinose residues. By combining the use of INRA-AGI-1 with LM5, LM6 and INRA-RU1 mAbs and enzymatic pre-treatments, evidence is presented of spatial differences in RGI motif distribution within individual cell walls of potato tubers and carrot roots. These observations raise questions about the biosynthesis and assembly of pectin structural domains and their integration and remodeling in cell walls. [ABSTRACT FROM AUTHOR]

In the present study, the analytical method for iodine (I) in ferromanganese crusts is developed and iodine/iodine (I/I) ratio in ferromanganese crusts is measured by the accelerator mass spectrometry (AMS). The developed method is applied to analyze I/I ratio in two ferromanganese crusts MP5D44 and CXD08-1 collected from the Mid-Pacific Ocean. The results show that I/I ratio in MP5D44 and CXD08-1 crusts varies from 7×10 to 1.27×10, with the lowest value falling on the detection limit level of AMS reported by previous literatures. For the depth distribution of I/I, it is found that both MP5D44 and CXD08-1 crusts have two growth generations, and the I/I profiles in two generations all displayed an approximate exponential decay. According to the I/I ratio, the generate age of bottom layer of MP5D44 and CXD08-1 was estimated to be 54.77 and 69.69 Ma, respectively. [ABSTRACT FROM AUTHOR]

Motivated by the recent work on β″-alumina polycrystalline ceramics, we revisit the frequency dispersion behavior of AgI. Series of admittance and capacitance Bode plots at different temperatures revealed the presence of well-defined parallel capacitance effects and power-law frequency dependencies. Non-trivial bulk dispersion is thus successfully described by the bulk conductance with activation energy of 0.262 eV in parallel connection to several capacitive effects: (i) a mobile-charge contribution, universally observed in many solid electrolytes, approximated by a Cole-Davidson model with Δ 휖 ≅ 28, γ ≅ 0.388, and ( τ) thermally activated by 0.237 eV, (ii) a dipolar and vibratory contribution represented by another Cole-Davidson model of the dielectric strength of Δ 휖 ≅ 9.0 with γ ≅ 0.110, τ ≅ 0.003 s, corresponding to Nearly-Constant-Loss behavior, and (iii) high frequency limit capacitance corresponding to the dielectric constant 휖 ≅ 6.4. Electrode effects are described by an ideal Warburg response and the coefficient activated by 0.165 eV, which is connected in parallel to the bulk capacitive elements (i) to (iii). The modeling allows a simulation of ac behavior of AgI as a function of temperature as well as frequencies, addressing all of the universally observed dispersive responses. [ABSTRACT FROM AUTHOR]

Nowadays, surveillance cameras are widely installed in public places for security and law enforcement, but the video quality may be low because of the limited transmission bandwidth and storage capacity. In this study, the authors proposed a gait recognition method for extremely low‐quality videos, which have a frame‐rate at one frame per second (1 fps) and resolution of 32 × 22 pixels. Different from popular temporal reconstruction‐based methods, the proposed method uses the average gait image (AGI) over the whole sequence as the appearance‐based feature description. Based on the AGI description, the authors employed a large number of weak classifiers to reduce the generalisation errors. The performance can be further improved by incorporating the model‐based information into the classifier ensemble. The authors found that the performance improvement is directly proportional to the average disagreement level of weak classifiers (i.e. diversity), which can be increased by using the model‐based information. The authors evaluated the proposed method on both indoor and outdoor databases (i.e. the low‐quality versions of OU‐ISIR‐D and USF databases), and the results suggest that our method is more general and effective than other state‐of‐the‐art algorithms. [ABSTRACT FROM AUTHOR]

This study focuses on the fabrication and characterization of waste forms of silver iodide (AgI) using low-temperature sintering glasses. We investigated the glass composition of bismuth-phosphate-zinc oxide, which enables low-temperature sintering to fabricate waste forms of AgI. We confirm that novel waste forms were fabricated with Bi2O3-P2O5-MxOyglasses, where MxOyis a metal oxide, such as ZnO, CaO (or CaCO3), MgO, or Na2O (or Na2CO3), at sintering temperatures of 600–650°C. The samples were characterized using X-ray diffraction (XRD), thermogravimetric analysis (TGA), scanning electron microscopy coupled with energy-dispersive spectroscopy (SEM-EDS), inductively coupled plasma-atomic emission/absorption spectrometry (ICP-AES/AAS), and ion chromatography (IC) used for product consistency testing (PCT). Our findings indicate that chemically durable waste forms of AgI were formed and that the loss of iodine during heat treatment was effectively suppressed by a low sintering temperature. [ABSTRACT FROM PUBLISHER]

The formation phenomena of silver carbonate (Ag2CO3)–silver iodide (AgI) solid solutions were investigated by X-ray diffraction, thermogravimetry-differential thermal analysis, and electrical conductivity measurement. Results revealed that AgI and Ag2CO3 reacted with each other when mixed at room temperature. The reaction products were classified into three types: (1) AgI-based solid solutions in the AgI-rich region for x = 10% or less in x Ag2CO3–(1 − x) AgI; (2) Ag2CO3-based solid solutions in the Ag2CO3-rich region for x = 60% or more; and (3) silver carbonate iodides in the intermediate range for x between 10% and 60%. For the AgI-based solid solutions, the incorporation of Ag2CO3 into the AgI lattice expanded the unit cell and enhanced electrical conductivity. The solubility limit of Ag2CO3 into the AgI lattice estimated from the differential thermal analysis was x ≈ 5%. [ABSTRACT FROM AUTHOR]

Precise calorimetry was performed for (AgI)x(AgPO3)1−x and (AgI)x(Ag2PO3.5)1−x glasses with very high AgI compositions (x≥0.75). The glasses showed β-glass transitions due to the freezing-in of the rearrangement of conductive Ag+ ions. Magnitude of the associated heat-capacity jump increased with increasing the AgI composition in the respective glass systems, and was larger in the former system than in the latter when compared at the same AgI composition. All the results were well explained by the ‘amorphous AgI aggregate’ model for the AgI-based fast ion conducting glasses, indicating the appropriateness of the model for the structure of the glasses with high AgI compositions. The formation of the hypothetical bulk amorphous AgI was also indicated in the glasses at the highest limit of AgI composition. [ABSTRACT FROM AUTHOR]

Copyright of Rheologica Acta is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Diabetes mellitus, a group of metabolic disorders characterized by hyperglycemia, is one of the most serious and common diseases around the world and is associated with major complications such as diabetic neuropathy, retinopathy, and cardiovascular diseases. A widely used treatment for non-insulin-dependent diabetes is α-glucosidase inhibitors (AGIs) such as acarbose, which hinders hydrolytic cleavage of disaccharides and retard glucose absorption. The ability to inhibit α-glucosidase activity has been reported in leaf and fruit of pepper (Capsicum annuum L.). In this study, we aimed to identify quantitative trait loci (QTLs) controlling α-glucosidase inhibitory activity (AGI activity) in pepper leaf and fruit using enzyme assay and genotyping-by-sequencing (GBS) analysis. The AGI activity at three stages of leaf and one stage of fruit development was analyzed by 96 F2 individuals. GBS analysis identified 17,427 SNPs that were subjected to pepper genetic linkage map construction. The map, consisting of 763 SNPs, contained 12 linkage groups with a total genetic distance of 2379 cM. QTL analysis revealed seven QTLs (qAGI1.1, qAGI11.1, qAGI5.1, qAGI9.1, qAGI12.1, qAGI5.2, and qAGI12.2) controlling AGI activity in pepper leaf and fruit. The QTLs for AGI activity varied by plant age and organ. This QTL information is expected to provide a significant contribution to developing pepper varieties with high AGI activity. [ABSTRACT FROM AUTHOR]

An exemplary paradigm of how an AI can be a disruptive technological paragon via the utilization of blockchain comes straight from the world of deep learning. Data scientists have long struggled to maintain the quality of a dataset for machine learning by an AI entity. Datasets can be very expensive to purchase, as, depending on both the proper selection of the elements and the homogeneity of the data contained within, constructing and maintaining the integrity of a dataset is difficult. Blockchain as a highly secure storage medium presents a technological quantum leap in maintaining data integrity. Furthermore, blockchain's immutability constructs a fruitful environment for creating high quality, permanent and growing datasets for deep learning. The combination of AI and blockchain could impact fields like Internet of things (IoT), identity, financial markets, civil governance, smart cities, small communities, supply chains, personalized medicine and other fields, and thereby deliver benefits to many people. [ABSTRACT FROM AUTHOR]

Photocathodic methods in photoelectrochemical (PEC) analysis are based on the use of functional photocathodes. Heterojunction cathodes consisting of different kinds of semiconductors are being considered as favorite schemes when compared to the single-component ones. A semiconductor heterojunction between CuBi2O4 (CBO) and other semiconductors has not been exploited in PEC assays so far. Herein, CBO nanospheres were initially electrochemically deposited on a fluorine-doped tin oxide (FTO) conductive glass and then coupled to chemically deposited AgI nanoparticles to obtain an electrode of type AgI/CBO/FTO. It was applied as a cathode in the PEC detection of L-cysteine as a model analyte. The sensor can selectively detect L-cysteine, and it is assumed that this is due to the selective interaction between the L-cysteine and both copper and silver via the formation of Cu-S and Ag-S bonds. The photocurrent of the electrode increases linearly with the logarithm of the cysteine concentration in the range from 0.1 and 50 μM, and the detection limit is 0.1 μM. [ABSTRACT FROM AUTHOR]