Analog Processing Research Articles

Iron Oxide-Copper Mineral Associations in Supergene Zones: Insights into Flotation Challenges and Optimization Using Response Surface Methodology.

In this study, batch flotation tests were conducted to investigate the flotation of oxidized copper ore from the supergene zone of the Bounhas deposit. Utilizing the Response Surface Methodology (RSM) anchored on the Box-Behnken Design (BBD), the effects of parameters such as collector dosage, sulfidizing agent, copper oxide and iron oxide grades, and particle size on copper recovery were explored. ANOVA and response surface plots elucidated the complex behavior of copper flotation. Mineralogical analyses of the initial feed and postflotation tails were performed on an industrial scale using advanced Zeiss microscopy. The quadratic model with an R 2 of 94.49% accurately captured the impact of the process parameters on copper recovery. Among the key findings, the sulfidizing agent exhibited the most substantial quadratic effect, while the copper oxide grade had the most substantial linear impact on recovery. A pivotal observation was the link between copper losses in tailings and specific iron oxide-copper associations. Optimization identified conditions leading to a maximum copper recovery rate of 71.49%. When validated industrially, the model demonstrated robust applicability for analogous mineral processing contexts. The study's mineralogical insights enhance our understanding of the supergene zone mineralization and offer a solid foundation for subsequent in-depth mineral processing studies.

Exploring the impact of the first rule of Functional Analytic Psychotherapy on fear of intimacy, vulnerability, and responsiveness: An analog process analysis

Functional Analytic Psychotherapy (FAP) is an efficacious but complex treatment. Despite a solid empirical foundation, research on the treatment is limited. While five process-focused rules guide the treatment, developers made an early statement that they believed only the first rule of FAP, watching for the occurrence of daily life problems occurring in the therapy session, was needed to guide treatment effectively. The current study was designed to assess this claim through the use of a FAP analog procedure in hopes of increasing the accessibility of the treatment and thus facilitating implementation efforts. In this study, 81 undergraduate participants engaged in a closeness-generating class in which they were randomized into two groups. In the experimental condition, research assistants had access to a self-report measure regularly used to inform clinicians about potential daily life problems that may occur in the therapy room. No such information was available to the research assistants in the control condition. Findings indicated that while fear of intimacy, a core construct in FAP, decreased on average following the procedure, the experimental condition had no impact on this change. Further, when research assistants had access to the daily life problem information, participants found them less effective at responding to disclosures. These findings suggest the importance of a nuanced case conceptualization, the limitations of the first rule of FAP, and the strengths and limitations of the use of an analog paradigm to study FAP.

Plant-Based Meat Analogues in the Human Diet: What Are the Hazards?

Research regarding meat analogues is mostly based on formulation and process development. Information concerning their safety, shelf life, and long-term nutritional and health effects is limited. This article reviews the existing literature and analyzes potential hazards introduced or modified throughout the processing chain of plant-based meat analogues via extrusion processing, encompassing nutritional, microbiological, chemical, and allergen aspects. It was found that the nutritional value of plant-based raw materials and proteins extracted thereof increases along the processing chain. However, the nutritional value of plant-based meat analogues is lower than that of e.g., animal-based products. Consequently, higher quantities of these products might be needed to achieve a nutritional profile similar to e.g., meat. This could lead to an increased ingestion of undigestible proteins and dietary fiber. Although dietary fibers are known to have many positive health benefits, they present a hazard since their consumption at high concentrations might lead to gastrointestinal reactions. Even though there is plenty of ongoing research on this topic, it is still not clear how the sole absorption of metabolites derived from plant-based products compared with animal-based products ultimately affects human health. Allergens were identified as a hazard since plant-based proteins can induce an allergic reaction, are known to have cross-reactivities with other allergens and cannot be eliminated during the processing of meat analogues. Microbiological hazards, especially the occurrence of spore- and non-spore-forming bacteria, do not represent a particular case if requirements and regulations are met. Lastly, it was concluded that there are still many unknown variables and open questions regarding potential hazards possibly present in meat analogues, including processing-related compounds such as n-nitrosamines, acrylamide, and heterocyclic aromatic amino acids.

Research on and Application of Feature Recognition and Intelligent Retrieval Method for Multi-Component Alloy Powder Injection Molding Gear Based on Partition Templates

The forming process of multi-alloy gears by metal powder injection molding is tedious, and the current design process mainly depends on the experience of designers, which seriously affects the product development cycle and forming quality. In order to solve the problem of the gear feature expression being missing, which hinders the automatic retrieval of similar parts in the analogical design process, a feature recognition and intelligent retrieval method for a multi-alloy powder injection molding gear based on partition templates is proposed in this paper. The partition templates of the gear are defined, and gear digitization is completed by using the automatic recognition algorithm. Searching for similar gear parts in the knowledge base, designers can analogically design the forming process for new parts according to the mature process of the parts in the knowledge base. The automatic identification and intelligent retrieval system developed according to this method has been implemented in two MIM (metal injection molding) product manufacturing enterprises. Case studies and industrial applications have proved the effectiveness of the system, the efficiency of identification and retrieval has been improved by more than 97%, and the number of mold tests has been reduced by 60%.

The hydrates of chlorogenic acid in its aqueous solution and in stored food products

Chlorogenic acids (CQAs), a large family of naturally occurring esters of quinic acid with one, two or even three cinnamic acids moieties and/or moieties of cinnamic acids derivatives, supplied to human organisms mainly with coffee, tea, fruit and vegetables, have been among the most frequently studied polyphenols. Of these, caffeic acid esters predominate, and 5-O-caffeoylquinic acid (5-CQA) is their main and most widespread representative. Recently performed studies have shown that after removing water from the aqueous solution of 5-CQA, its dry residue contains two hydrates of this compound, each consisting of two 5-CQA molecules and two molecules of H2O (2 × 5-CQA*2xH2O). The results presented in the paper not only define the characteristic features of 5-CQA but, more importantly, offer solid evidence that 5-CQA hydrates begin to form already in the aqueous solution of 5-CQA immediately after the dissolution of this compound and that the analogous process can occur in food products containing 5-CQA during their storage. Moreover, the performed experiments indicate the validity of the hypothesis that 5-CQA hydrates are formed by active collisions of 5-CQA molecules with monomeric/dimeric water molecules existing in trace amount in strongly associated aqueous systems. The presence of 5-CQA hydrates in liquid food products may have a significant impact on the assessment of some of their physicochemical properties as well as their biochemical activity.

Apicoplast-Resident Processes: Exploiting the Chink in the Armour of Plasmodium falciparum Parasites.

The discovery of a relict plastid, also known as an apicoplast (apicomplexan plastid), that houses housekeeping processes and metabolic pathways critical to Plasmodium parasites' survival has prompted increased research on identifying potent inhibitors that can impinge on apicoplast-localised processes. The apicoplast is absent in humans, yet it is proposed to originate from the eukaryote's secondary endosymbiosis of a primary symbiont. This symbiotic relationship provides a favourable microenvironment for metabolic processes such as haem biosynthesis, Fe-S cluster synthesis, isoprenoid biosynthesis, fatty acid synthesis, and housekeeping processes such as DNA replication, transcription, and translation, distinct from analogous mammalian processes. Recent advancements in comprehending the biology of the apicoplast reveal it as a vulnerable organelle for malaria parasites, offering numerous potential targets for effective antimalarial therapies. We provide an overview of the metabolic processes occurring in the apicoplast and discuss the organelle as a viable antimalarial target in light of current advances in drug discovery. We further highlighted the relevance of these metabolic processes to Plasmodium falciparum during the different stages of the lifecycle.

Regulating Algorithmic Assemblages: Exploring Beyond Corporate AI Ethics

The rapid advancement of artificial intelligence (AI) systems, fueled by extensive research and development investments, has ushered in a new era where AI permeates decision-making processes across various sectors. This proliferation is largely attributed to the availability of vast digital datasets, particularly in machine learning, enabling AI systems to discern intricate correlations and furnish valuable insights from data on human behavior and other phenomena. However, the widespread integration of AI into private and public domains has raised concerns regarding the neutrality and objectivity of automated decision-making processes. Such systems, despite their technological sophistication, are not immune to biases and ethical dilemmas inherent in human judgments. Consequently, there is a growing call for regulatory oversight to ensure transparency and accountability in AI deployment, akin to traditional regulatory frameworks governing analogous processes. This paper critically examines the implications and ripple effects of incorporating AI into existing social systems from an 'AI ethics' standpoint. It questions the adequacy of self-policing mechanisms advocated by corporate entities, highlighting inherent limitations in corporate social responsibility paradigms. Additionally, it scrutinizes well-intentioned regulatory initiatives, such as the EU AI ethics initiative, which may overlook broader societal impacts while prioritizing the desirability of AI applications. The discussion underscores the necessity of adopting a holistic approach that transcends individual and group rights considerations to address the profound societal implications of AI, encapsulated by the concept of 'algorithmic assemblage'.

Performance optimization of non-isothermal endoreversible chemical pump via Lewis analogy

By considering heat and mass transfer (HMT) coupling, an endoreversible non-isothermal chemical pump cycle model is established and the optimal performance is studied herein. Assuming that the HMT follows Lewis analogy (heat transfer (HT) process obeys Newton's HT law and mass transfer (MT) process obeys diffusion MT law), rate of energy-pumping (Σ) and its corresponding vector coefficient of performance (χT and χμ, which are defined herein) are deduced analytically. Based on the general optimization results, the special examples of endoreversible Carnot heat pump with Newton's HT law and the endoreversible isothermal chemical pump with diffusion MT law are further deduced. The effects of heat flux rate (q1) and mass flux rate (g1) on the optimization results are analyzed. The Σ increases with the increases of q1 and g1. The surface of Σ to [χT,χμ] is a monotonically decreasing plane, and the Σ decreases with the increases of χT and χμ. The special cases of endoreversible Carnot heat pump with Newton's HT law and endoreversible isothermal chemical pump with diffusion MT law are further obtained. The Σ and χμ obtained by endoreversible non-isothermal chemical pump are larger than those obtained by endoreversible isothermal chemical pump. Coupling effect of HMT increases Σ and χμ, but correspondingly decreases χT.

Design and Characterization of the Engineering Model of the Spectrometer Onboard LuSEE‐Night

AbstractThe Lunar Surface Electromagnetics Explorer—Night, LuSEE‐Night, is a low‐frequency radio astronomy experiment that will explore the cosmic Dark Ages signal on the radio‐quiet farside of the Moon. The LuSEE‐Night carries a radio frequency spectrometer consisting of a set of antennas, analog and digital processing electronics, and will be launched by NASA's Commercial Lunar Payload Services in 2025. The spectrometer is designed to observe the spectrum of the radio sky in the 0.5−50 MHz band. The engineering model (EM) of the four‐channel spectrometer has been developed. The EM has been characterized for linearity, gain, noise, and their temperature dependence, confirming that the EM meets all the requirements for LuSEE‐Night. Three mitigation techniques have been implemented and verified to suppress self‐induced electromagnetic interference. The flight model of the spectrometer is currently being developed and is scheduled to be shipped to the integration site in early 2024.

Activation of σ‐Bonds by Group 13/Ylide‐Based Ambiphiles: Understanding and Design

AbstractThe factors controlling the activation of σ‐bonds promoted by hidden Frustrated Lewis Pairs have been computationally explored using quantum chemical tools. To this end, the influence of both the nature of the group 13 element acting as Lewis acid as well as the cooperative action of the Lewis antagonists on the bond activation was quantitatively analyzed by means of the activation strain model of reactivity in combination with the energy decomposition analysis method. It is found that while the activation of the polar EX−H bonds (E15=group 15 element; E16=group 16 element) is feasible, the analogous processes involving non‐polar E14−H bonds (CH4, SiH4 or H2) proceed with much higher barriers. Nevertheless, these processes, and in particular the dihydrogen activation, can be realizable (i. e. proceeding with a feasible barrier) through rational design.

Development of New Composite Materials by Modifying the Surface of Porous Hydroxyapatite Using Cucurbit[n]urils.

This study represents an advancement in the field of composite material engineering, focusing on the synthesis of composite materials derived from porous hydroxyapatite via surface modification employing cucurbit[n]urils, which are highly promising macrocyclic compounds. The surface modification procedure entailed the application of cucurbit[n]urils in an aqueous medium onto the hydroxyapatite surface. A comprehensive characterization of the resulting materials was undertaken, employing analytical techniques including infrared (IR) spectroscopy and scanning electron microscopy (SEM). Subsequently, the materials were subjected to rigorous evaluation for their hemolytic effect, anti-inflammatory properties, and cytotoxicity. Remarkably, the findings revealed a notable absence of typical hemolytic effects in materials incorporating surface-bound cucurbit[n]urils. This observation underscores the potential of these modified materials as biocompatible alternatives. Notably, this discovery presents a promising avenue for the fabrication of resilient and efficient biocomposites, offering a viable alternative to conventional approaches. Furthermore, these findings hint at the prospect of employing supramolecular strategies involving encapsulated cucurbit[n]urils in analogous processes. This suggests a novel direction for further research, potentially unlocking new frontiers in material engineering through the exploitation of supramolecular interactions.

Error Model of a Measurement Chain Containing the Discrete Wavelet Transform Algorithm

This paper presents an error model of a measurement chain containing a link that executes a discrete wavelet transform algorithm, which is most often the last stage of measurement signal processing. The goal is to determine the uncertainty budget of the input quantities of the wavelet transform algorithm. The error model takes into account parts of analog, analog-to-digital and digital processing, describing the properties of subsequent fragments of the chain using their transmittance and processing functions. The proposed model enables the description of both the deterministic and non-deterministic properties of signal errors. The proposed model was validated using an example measurement chain created for this purpose.

Analogue magnitude representation of angles and its relation to geometric expertise

The distance effect (comparing objects becomes easier with increasing differences in their magnitude) is observed in tasks ranging across domains, and its existence has been interpreted as evidence for analogue magnitude representation. Similarly, associations between response side and magnitude (faster left/right-sided responses to small/large objects, respectively) are observed across domains. We investigated the analogue processing of angles and the association between angle magnitude and response side in relation to geometric expertise. We compared the behavioural pattern of two groups—architects and controls—in a direct angle magnitude classification task (i.e., judge whether a presented angle was greater or less than 90°) and in an indirect task (i.e., judge whether an angle was drawn with a dashed or continuous line). We found a robust distance effect for reaction times and accuracy at the whole sample level and in each group separately. Architects revealed a smaller distance effect for accuracy than controls. This could be interpreted as an argument for a more precise analogue representation of angles in experts compared to non-experts. However, we did not find evidence for an association between angle magnitude and response side in any group.

The preterite of Spanish andar: An “unbiased” history of non-standard vs. standard forms

Abstract Alongside the standard irregular preterite of Sp. andar (anduve ‘I walked’) there exist non-standard regular forms (andé ‘I walked’). Scholars have assumed that the non-standard regular forms have resulted from analogy with the preterite of regular -ar verbs, agree that the irregular preterite of andar was formed by analogy with the etymological irregular preterite of estar, and have assumed that the earliest forms were the irregular ones. But if the preterite of andar was formed by analogy with that of estar, what were the etymological forms of the preterite of andar inherited from Latin? This question has not been raised hitherto because of “standard language bias”, a phenomenon recently introduced by Maiden (2022). It will be revealed here that non-standard forms in and- appear by the early thirteenth century. Their early appearance, together with comparative Romance evidence, points to the likelihood that they were not formed by later processes of analogy and regularization, but that they were, and are, direct descendants of one of a number of possible Latin etyma. Finally, it will be explained why forms in anduv- eclipsed the original forms in and-, eventually becoming the standard, as well as why they have persisted as such to date.

Encapsulation of roast beef flavor by soy protein isolate/chitosan complex Pickering emulsions to improve its releasing properties during the processing of plant-based meat analogues

During the production of plant-based meat analogues (PBMA), a significant loss of flavor characteristic compounds in meat-flavor essences could be observed. Pickering emulsion-based encapsulation is an effective method to improve their stability. Therefore, a soy protein isolate (SPI)/chitosan (CS) complex Pickering emulsion was fabricated to encapsulate roast beef flavor (RBF) and further applied in the processing of PBMA. Our results indicated that the network structure of emulsions was dominated by elasticity, while hydrogen and covalent bonding interactions played important roles in the encapsulation process. The release rate of flavor compounds gradually increased with the increase of pH value, glutamine transaminase, NaCl content, heating temperature or heating time, while encapsulation significantly reduced the loss of characteristic aroma compounds. In addition, the releasing characteristics of aroma compounds and textural properties of PBMA were greatly improved by treating with RBF-loaded emulsions. Consequently, the emulsions were promising to improve the flavor quality of PBMA.

Структура российской рецидивной преступности

The structure of recidivism is the ratio of crimes of persons who have previously committed crimes, as well as the composition of these persons in a certain territory for a specific period of time. In the article, based on the analysis of criminal statistics of the Ministry of Internal Affairs of Russia, the Prosecutor General's Office of the Russian Federation, the Judicial Department under the Supreme Court of the Russian Federation for 2021, the structure of modern recidivism is determined — the ratio of crimes by severity category, type and direct object, type and intensity of recidivism, as well as by the number convictions of persons who have previously committed acts. Serious and especially serious crimes account for 17.5% and 4.0%, respectively. The most common among repeat offenders are theft (31.6%), traffic violations by a person subjected to administrative punishment (8.5%), illegal acquisition, storage, transportation, manufacture, processing of narcotic drugs, psychotropic substances or analogues (7.9 %). Simple recidivism includes 86% of repeated criminal acts, dangerous — 10%, especially dangerous — 4.0%. In the structure of repeat offenders, a significant proportion (46%) is occupied by persons with two or more convictions. 8.0% relapsed within a year of being released from the correctional facility.

REGULATING ALGORITHMIC ASSEMBLAGES: EXPLORING BEYOND CORPORATE AI ETHICS

The rapid advancement of artificial intelligence (AI) systems, fueled by extensive research and development investments, has ushered in a new era where AI permeates decision-making processes across various sectors. This proliferation is largely attributed to the availability of vast digital datasets, particularly in machine learning, enabling AI systems to discern intricate correlations and furnish valuable insights from data on human behavior and other phenomena. However, the widespread integration of AI into private and public domains has raised concerns regarding the neutrality and objectivity of automated decision-making processes. Such systems, despite their technological sophistication, are not immune to biases and ethical dilemmas inherent in human judgments. Consequently, there is a growing call for regulatory oversight to ensure transparency and accountability in AI deployment, akin to traditional regulatory frameworks governing analogous processes. This paper critically examines the implications and ripple effects of incorporating AI into existing social systems from an 'AI ethics' standpoint. It questions the adequacy of self-policing mechanisms advocated by corporate entities, highlighting inherent limitations in corporate social responsibility paradigms. Additionally, it scrutinizes well-intentioned regulatory initiatives, such as the EU AI ethics initiative, which may overlook broader societal impacts while prioritizing the desirability of AI applications. The discussion underscores the necessity of adopting a holistic approach that transcends individual and group rights considerations to address the profound societal implications of AI, encapsulated by the concept of 'algorithmic assemblage'

ЛОГІСТИКА В УМОВАХ ЦИФРОВІЗАЦІЇ: ЛОГІСТИЧНИЙ ЛАНЦЮГ ТА ФУНКЦІОНАЛЬНІ ОБЛАСТІ

Formulation of the problem. Today, logistics is not a new process. The development of the economy, sustainable development, and the introduction of digitalization into social life require new tools and technologies for logistics. Today, many logistics processes are being improved through the introduction of digital technologies. The conventional logistics chain has been modernized by belonging to digital platforms. However, the main issue is the identification of problem areas in the logistics chain due to the implementation of digitalization, namely: compliance with confidentiality, lack of trust from consumers in digital platforms, lack of digital competences among personnel who provide logistics processes. The purpose of the study is to reveal the peculiarities of logistics in the conditions of digitalization using the 7R model, the functional area of logistics and the system of forming a logistics chain. The object of research is the process of forming the ability to implement digitalization in the logistics chain. The methods used in the research are modern methods and principles of scientific knowledge, general theoretical and specific research methods, which allowed to reveal the process of formation of the logistics chain in The main hypothesis of the study was an assumption about the possibility of introducing digitalization into the logistics chain using the 7R model, the functional area of logistics and the logistics chain formation system. Presentation of the main research material. The work pays attention to the digitalization process in the logistics chain. By revealing the logistics chain formation system, the authors of the study made an attempt to visually present the logistics chain scheme taking into account digitalization. The peculiarities of the application of the 7R model are disclosed, the advantages of its application are indicated. The functional areas of logistics were revealed, which enabled the authors to take them into account in the scheme of digitalization of the logistics chain. The proposed scheme of digitalization of the logistics chain combines functional areas, macro- and micro-levels, digitalization aspect. The scheme makes it possible to modernize and improve existing processes in logistics, promotes sustainable development and globalization. The implementation of the proposed scheme in logistics activities will enable the business to be more competitive, profitable and ensure the efficiency and expediency of the distribution of labor resources by replacing outdated processes with digital ones. The originality and practical significance of the research is confirmed by the possibility of use at enterprises related to the logistics process. Conclusions and prospects for further research. It has been proven that digitalization of the logistics chain is the process of converting analog processes of the supply chain into digital ones by creating special master data that aggregates information from the entire supply chain, as well as information from some external sources. Digitalization of the supply chain is achieved through software – off-the-shelf, custom, or a combination of both-with an emphasis on automation and business intelligence.

Are β-Lactones Involved in Carbon-Based Olefination Reactions?

AbstractHeteroatom-based olefinating reagents (e.g., organic phosphonates, sulfonates, etc.) are used to transform carbonyl compounds into alkenes, and their mechanism of action involves aldol-type addition, cyclization, and fragmentation of four-membered ring intermediates. We have developed an analogous process using ethyl 1,1,1,3,3,3-hexafluoroisopropyl methylmalonate, which converts electrophilic aryl aldehydes into α-methylcinnamates in up to 70% yield. The reaction plausibly proceeds through the formation of β-lactone that spontaneously decarboxylates under the reaction conditions. The results shed light on the Knoevenagel–Doebner olefination, for which decarboxylative anti-fragmentation of aldol-type adducts is usually considered.

Psychophysiological Research and its Place in the Lithuanian Scientific Discourse

This article gives a brief overview of the development of psycho-physiological research using the polygraph. The main focus is on the legal regulation of these methods and the evaluation of the scientific discourse of Lithuanian specialists on the problems of psychophysiological research and the application of its methods in comparison with analogous processes in Poland. Already in the inter-war period, so-called lie detection attracted considerable interest, not only from the academic world, but also from law enforcement authorities. In interwar Lithuania, considerable attention was paid to the psychology of testimony and the problems of lie detection, including the apeplication of instrumental methods of psychodiagnostics. V. Lazerson, J. Vabalas-Gudaitis, B. Kalvaitis and others have written about it. It should be noted that at that time there were quite heated debates about the permissibility and effectiveness of psychophysiological tests. During the Soviet era, the issue of psychophysiological (poly-graph) examinations was not the subject of an official broad scientific discourse in the jurisdictional process, even though medical and psychological professionals cooperating with special services were interested in this issue. After the restoration of independence in 1990, the Lithuanian media interest in this issue prompted the law enforcement authorities and their specialists and scientists to look deeper into the possibility, reliability, permissibility and effectiveness of the use of these technical diagnostic tools in foreign countries, as well as into their compatibility with the Lithuanian law in the investigation of crimes. In this article, some aspects of psychophysiological tests using the polygraph in Poland have been analysed for comparison purposes, which in the neighbouring country have attracted considerably more attention, both in the academic world as well as among lawyers and representatives of law enforcement agencies.