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Proanthocyanidins (PAs) are a class of polymers composed of flavan-3-ol units that have a variety of bioactivities, and could be applied as natural biologics in food, pharmaceuticals, and cosmetics. PAs are widely found in fruit and vegetables (F&Vegs) and are generally extracted from their flesh and peel. To reduce the cost of extraction and increase the number of commercially viable sources of PAs, it is possible to exploit the by-products of plants. Leaves are major by-products of agricultural production of F&Vegs, and although their share has not been accurately quantified. They make up no less than 20% of the plant and leaves might be an interesting resource at different stages during production and processing. The specific structural PAs in the leaves of various plants are easily overlooked and are notably characterized by their stable content and degree of polymerization. This review examines the existing data on the effects of various factors (e.g. processing conditions, and environment, climate, species, and maturity) on the content and structure of leaf PAs, and highlights their bioactivity (e.g. antioxidant, anti-inflammatory, antibacterial, anticancer, and anti-obesity activity), as well as their interactions with gut microbiota and other biomolecules (e.g. polysaccharides and proteins). Future research is also needed to focus on their precise extraction, bioactivity of high-polymer native or modified PAs and better application type. Highlights: The Leaf proanthocyanidins (LPAs) are mostly oligomeric procyanidins, with a small proportion of leaves containing A-type procyanidins. Foliage is a sustainable source of PAs. LPAs are a potential source of valuable bioactive compounds. The content, structure, extraction and identification and bio-activity of LPAs are discussed. Processing improvement is beneficial to enhance the production of LPA. [ABSTRACT FROM AUTHOR]

The scientific results of modeling a production manipulator are presented. Modeling a production manipulator makes it possible to study its operation in a virtual environment, to optimize the production processes of finished products, and to achieve maximum efficiency in the operation of a machine-building enterprise. The production manipulator is a multipurpose complex device due to the replaceability of the gripper module. The production manipulator was simulated using the Siemens software product NX version 10. [ABSTRACT FROM AUTHOR]

Background: Skeletal muscle biopsies are valuable in clinical and research settings, contributing to advancements in diagnosing, understanding, and treating muscle-related conditions. Traditional freezing methods often cause artefacts mistaken for disease, leading to incorrect diagnoses or misinterpretation of research findings. Proper handling of muscle biopsies is critical for accurate histopathological and mitochondrial analysis. It is essential to preserve the entire tissue, especially for small needle biopsies. While most research focuses on mitochondrial analysis in cells, there are few studies on whole tissue samples. This study aimed to provide an effective methodological workflow to improve cryopreservation techniques for human and rodent muscle biopsies and create a reliable method for mitochondrial analysis in muscle tissues. Methods: Human muscle samples were preserved with different concentrations of formaldehyde after freezing with liquid nitrogen to study the effects of freeze–thaw cycles. We compared the edge and belly of muscle samples embedded in Optimal Cutting Temperature compound (OCT) to see how OCT affects ice crystal formation. Rat muscle biopsies were frozen using six different methods, using liquid nitrogen and precooled isopentane as freezing media. Each medium involved direct immersion, OCT dip before immersion, and placement in histocassettes before immersion. Effectiveness of these methods was evaluated using histological and immunohistochemical staining. Mitochondrial analysis in type I and II myofibres was attempted by employing the Trainable Weka Segmentation plugin using Fiji. Results: Histologically stained human tissue sections showed that freeze–thaw and formaldehyde fixation led to freezing artefacts, disrupted endomysium, and widely spaced cells. Quantitative differences in ice crystal artefacts between edge and belly of rat whole muscle samples demonstrated effects of OCT in crystal formation. Histological and immunohistochemical staining of sections from rat muscle biopsies frozen in six different cryopreservation techniques revealed that only isopentane/histocassette combination preserved tissue integrity in both core and periphery of tissue sections. Moreover, an optimised Fiji workflow enabled accurate quantification and mapping of mitochondrial networks. Discussion: The isopentane/histocassette combination is an effective cryopreservation method, ensuring artefact-free preservation of both core and periphery of tissue sections. Our workflow utilising Trainable Weka Segmentation plugin provides a reliable method for mitochondrial analysis in skeletal muscle tissues, facilitating future studies in muscle research. [ABSTRACT FROM AUTHOR]

Energy infrastructure requires metals, and metals production requires energy. A transparent, physical model of the metals-energy system is presented to explore under what conditions this dependence constrains or accelerates the transition to a net-zero economy. While the mineral (as high as 340 Mt yr−1 iron ore, 210 Mt yr−1 limestone, 250 Mt yr−1 bauxite and 5.5 Gt yr−1 copper ore in the 2040–2050 decade, assuming no improvements) and total energy (up to 22 EJ yr−1) requirements for building low-carbon energy infrastructure are significant, it compares favourably with the current extraction and energy use supporting the fossil fuel system (15 Gt yr−1 fossil minerals and ~38 EJ yr−1). There are levers to significantly reduce material use and associated impacts over time. The metals industry can play a key reinforcing role in the transition by adapting to the increasing supply of renewable electricity. Specifically, direct electrolysis can extract metal from ore close to the thermodynamic limit, to make efficient use of low-C electricity. The unique features of emerging technologies for iron extraction, molten oxide electrolysis and molten sulphide electrolysis are considered in this evolving system. Electrification enables elegant separations and provides a pathway to build out infrastructure while reducing environmental impacts, though material efficiency measures will still be crucial to meet 2050 carbon budgets. This article is part of the discussion meeting issue 'Sustainable metals: science and systems'. [ABSTRACT FROM AUTHOR]

The rice cultivar, ‘Dapum’, is a high-quality, late-maturing rice with low amylose content developed by the Chungcheongnam-do Agricultural Research and Extension Services (Yesan, Korea). Dapum was derived from a cross between Miho, a processed rice cultivar known for its cultivation stability and low amylose content, as the maternal parent, and Daohuaxing2, a high-quality aromatic rice cultivar, as the paternal parent. Subsequently, a pedigree breeding method was employed, and yield trials conducted from 2019-2020, followed by local adaptability tests from 2020-2021. As a result of the local adaptability test, the heading date of ‘Dapum’ was August 28th, which is slower than the cultivars mainly cultivated in the Chungnam Province in Korea; therefore, it can be ripened at an appropriate temperature. The yield of milled ‘Dapum’ rice under standard fertilizer conditions was approximately 572 kg/10a, which was 15 kg/10a higher than that of Miho. The amylose content of ‘Dapum’ was 12.5%, similar to that of Miho, and the glossiness of cooked rice, which reflects its indirect eating quality, was 86.8, which was 7.0 points higher than that of Miho. The new rice cultivar, ‘Dapum’, is expected to be used in various ways, such as for cooked and processed rice, due to its low amylose content and good eating quality. Further, it has the potential to enhance the competitiveness of rice production in the Chungnam Province by diversifying the rice market, which has traditionally focused on mid-maturing, non-glutinous rice (Registration No. 10181). [ABSTRACT FROM AUTHOR]

This study explores speech processing of English coda laterals (dark L's) in second language (L2) listeners whose native language does not permit laterals at syllable coda positions. We tested L2 listeners' (native Mandarin) perception of coda laterals following three Australian English vowels differing in phonological backness, including /iː/, /ʉː/, and /oː/, which represent a front vowel, and central vowel, and a back vowel, respectively. L2 listeners first completed an AX task which tested their ability to discriminate between /iː/-/iːl/, /ʉː/-/ʉːl/, and /oː/-/oːl/, and then they completed an identification task with eye-tracking which tested their ability to distinguish vowel–lateral sequences and bare vowel categories using explicit phonological–orthographical labels. The results show that vowel backness plays a key role in L2 listeners' perceptual accuracy of English coda laterals, whereas the eye-tracking and identification data suggest some paradigmatic differences between the two tasks. Mandarin listeners show excellent discrimination and identification of coda laterals following a front vowel and poor performance following a back vowel, whereas the central vowel has led to intermediate patterns. [ABSTRACT FROM AUTHOR]

Demand for almond is in rise, due to its desired flavor and beneficial health-related properties. Roasting is the most common practice in almond processing, improving aroma and texture, as well as nutritional properties. "Shefa," a new Israeli almond variety, was recently introduced; however, no information is available regarding its phytochemical composition and response to roasting. The aim of the current work was to characterize its health-related composition, in addition to describe its response to moderate roasting conditions, including temperature and duration. For this, "Shefa" almonds were roasted at 100°C, 125°C, 150°C, and 175°C for 15 and 25 min. and compared to raw unroasted kernels. Health and nutritional quality parameters included antioxidant capacity (DPPH, FRAP, and ABTS; spectrophotometric), total polyphenol, tocopherol and phytosterol content (spectrophotometric), and fatty acid profiling (GC-MS). Our results demonstrate that "Shefa" variety phytochemical composition resembles that of other Mediterranean almond varieties, e.g. Italian and Turkish are high in tocopherols and phytosterols, with average polyphenol content. Its antioxidant activity was 19.11, 25.56, and 22.18 mg TE/100 g DW for DPPH, FRAP, and ABTS, respectively. In addition, under the roasting conditions evaluated in the current work, "Shefa" almonds presented an improved health-related composition, with levels of antioxidant capacity, polyphenols, tocopherols, and phytosterols increasing with temperature and duration. "Shefa" response to roasting resembled that of other almond varieties evaluated under comparable roasting conditions. To conclude, the newly introduced Israeli almond "Shefa" has a healthy and nutritionally beneficial phytochemical composition, which improves with moderate roasting. Further investigation is needed to profile its polyphenol and tocopherol composition, to provide additional valuable insights into its phytochemical composition. [ABSTRACT FROM AUTHOR]

Background: The use of natural antioxidants and antimicrobials in dairy production can increase the variety of dairy‐based products. In this study, the antioxidant and antimicrobial changes in lactic butter samples made from heat‐treated creams and enriched with M. communis essential oils (EOs) were investigated. Results: The best lactic butter properties were achieved by optimizing the process at 70 and 80 °C. M. communis EOs decreased lipid oxidation and spoilage microorganism growth in lactic butter during cold storage. M. communis EOs have antioxidant and antimicrobial activity in lactic butter equal to that of ascorbyl palmitate. α‐Pinene, p‐cymene, limonene, 3‐carene, 1,8‐cineol, β‐linalool, α‐terpineol and myretenol are the major contributors to the antioxidant and antimicrobial activities of M. communis EOs. They exhibit antioxidant activity by neutralizing free radicals by donating hydrogen or acting as termination enhancers, and antimicrobial activity by disruption of cell membranes, which may result in the leakage of macromolecules or the loss of essential metabolites, ultimately leading to cell death during the storage of lactic butter samples. Conclusion: The addition of M. communis EOs improves lactic butter stability equal to that of ascorbyl palmitate, and may be applied as a natural and effective preservative to maintain butter from lipid oxidation and microbial spoilage and enhance its safety. Practical applications: The growing recognition of the health benefits of natural antioxidants, as opposed to synthetic ones, has led to the development of new applications for natural antioxidants. In this regard, M. communis L. EOs can be used to enhance the shelf stability of cold‐stored lactic butter. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

High entropy carbides (HECds) are multi-component carbides consisting of transition metal carbides. HECds are generally composed of five or more metal cations of the equal or near-equal substances, obtaining a single crystal structure. HECds have great potentials for future applications due to excellent mechanical, antioxidant and thermal properties. Due to their complex crystal structures and lattice distortion, computer simulations are widely used to efficiently associate the properties of HECds with the corresponding microstructures. In response to the development of HECds, this article provides an overview of the basic design, preparation process and properties of HECds. [ABSTRACT FROM AUTHOR]

Even though medical reports have been digitized, they are generally text data and have not been used optimally. Extracting information from these reports is challenging due to their high volume and unstructured nature. Analyzing the extraction of relevant and high-quality information can be achieved by measuring semantic textual similarity (STS). Consequently, the primary aim of this study is to develop and evaluate the performance of four models: Siamese Manhattan convolution neural network (CNN), Siamese Manhattan long short-term memory (LSTM), Siamese Manhattan hybrid CNN-LSTM, and Siamese Manhattan hybrid LSTM-CNN, in determining STS between sentence pairs in medical reports. Performance comparisons were conducted using Cosine Similarity and word mover's distance (WMD) methods. The results indicate that the Siamese Manhattan hybrid LSTM-CNN model outperforms the other models, with a similarity score of 1 for each sentence pair, signifying identical semantic meaning. [ABSTRACT FROM AUTHOR]

Advancements in coffee processing technologies have led to improved efficiency in field operations, but challenges still exist in their practical implementation. Various alternatives and solutions have been proposed to enhance processing efficiency and address issues related to safety, standardization, and quality improvement in coffee production. A literature review using SciMAT and ScientoPy software highlighted advancements in fermentation tanks and the emergence of novel fermentation methodologies. However, these innovations lack sufficient scientific evidence. Researchers are now focusing on systematic approaches, such as controlled fermentations and evaluating the influence of microorganisms and process conditions on sensory attributes and coffee composition. Brazil is the leader in coffee bean fermentation research, but the number of published papers in the field has recently decreased. Despite this, efforts continue to improve process control and optimize product quality. The study emphasizes the need for further innovation in coffee fermentation technologies to increase efficiency, sustainability, and profitability while minimizing environmental impact. Implementing these advancements promises a more sustainable and quality-driven future for the coffee industry. [ABSTRACT FROM AUTHOR]

Many manufacturing processes of fibrous composites involve fiber movement to obtain a targeted fibrous preform before the resin is injected or polymerized. The ability of the fibers to move within the yarn can be named "cohesion." To obtain a correct preform, it is of great importance to know and master yarn cohesion. As there is currently no available method to characterize yarn cohesion upstream, the process parameters have very often to be tuned using lengthy trial and error strategies. This paper proposes to address this issue, demonstrating that the yarn cantilever bending test is a very promising and efficient candidate to characterize and quantify yarn cohesion. In addition, the test can be easily performed in an industrial context and is sensitive enough to discriminate small variations in cohesion, even small discrepancies resulting from the yarn manufacturing process. Above all, thanks to real manufacturing tests on different yarns, this paper shows that the upstream identification of cohesion using the proposed cantilever bending test achieves the goal of predicting the yarn processability. [ABSTRACT FROM AUTHOR]

The objective of this work was to evaluate the protease levels in rehydrated corn silage and the impacts of its inclusion in the diet of dairy cows on intake, nutrient digestibility, ruminal and blood parameters, fatty acid profile, and animal performance. The study included eight cows with an initial body weight (BW) of 432.9 ± 15 kg and 45 ± 5 days of lactation at the beginning of the experiment. The experimental design was in two 4 × 4 Latin squares, simultaneous, each composed of four animals, four treatments, and four experimental periods. The experimental diets were as follows: Control  – basal diet; SGR  – rehydrated corn grain silage without added protease; SGR – 500, rehydrated corn grain silage with inclusion of 500 g t−1 of protease; SGR – 1000, rehydrated corn grain silage with inclusion of 1,000 g t−1 of protease. Protease activity was 600 IU g−1. Cows fed the SGR diet with proteases showed a 9.64% higher milk yield compared to those fed the control diet (average 17.93 kg day−1). The use of protease at up to 1,000 g t−1 in rehydrated corn silage improved the ruminal and productive parameters of lactating Jersey cows. [ABSTRACT FROM AUTHOR]

Polymer‐based pyroelectric thin films are crucial functional materials at the core of flexible and lightweight electronic devices, such as wearable monitoring sensors, energy harvesters, and infrared detectors. Nevertheless, the pyroelectric properties of the polymer films, such as poly(vinylidene fluoride‐trifluoroethylene) (P(VDF‐TrFE)), vanish when the surrounding temperature exceeds the ferroelectric‐to‐paraelectric transition temperature, and thus limits their pyroelectric performance to a low‐temperature range. Herein, to mitigate this issue by employing a new class of P(VDF‐TrFE) copolymer which has a low TrFE molar content is proposed. Fine‐tuning of the structure through thermal annealing in a vacuum environment significantly favors robust and highly polarized polymer films with a large area. Electric poling combined with an optimal annealing temperature (110–120 °C) gives highly ordered ferroelectric crystalline domains in the polymer films. Consequently, this remarkably broadens the temperature range (roughly up to 140 °C) for which the polymer film still presents high pyroelectric properties (pyroelectric coefficient 50 µC (m2K)−1). This study provides an alternative choice for pyroelectric polymer films with enhanced pyroelectricity in applications that require wider temperature ranges. [ABSTRACT FROM AUTHOR]

Processing is a popular graphical library and IDE developed for electronic art and visual design communities, with a strong focus on teaching art, design, and creative technologies students computer programming fundamentals in a visual context. Processing provides a collection of special commands to draw, animate, and handle user input using Java. Users can enable Python Mode (also called Processing.py) for Processing in the IDE interface. This leverages Jython, a Java implementation of Python, to interface with Processing's Java core, providing a way to write Processing code using Python syntax. This paper proposes that combining Processing and Python provides an ideal development environment for teaching creative programming fundamentals. Several new Processing-Python tools have emerged, but no attempts to integrate one of the most promising, the py5 library created by Jim Schmitz, into a Processing-like-IDE experience. py5 offers features not available with Jython, such as compatibility with Python 3 and support for CPython libraries. This paper presents a new coding environment, thonny-py5mode, developed as a software plugin for the Thonny IDE, which brings a convenient, beginner-friendly setup like that of Processing's Python Mode to users working with py5. [ABSTRACT FROM AUTHOR]

Flexible luminescent materials are usually in the form of gels and films. Solid‐state films have advantages in practical applications due to their long‐term stability. However, the fabrication process by conventional methods remains laborious and unsustainable. Here, a facile and green route is reported for fabricating flexible luminescent films via an elegant solid‐phase molecular self‐assembly design. First, Eu3+/Tb3+‐based metallosupramolecular coordination polyelectrolytes (MEPEs) and tetraphenylethylene (TPE)‐based MEPEs are designed with an antenna bis‐ligands to get individual R, G, and B emission. Then, by repeatedly pressing the MEPEs‐cetyltrimethylammonium bromide (CTAB) precipitates, obtained from their mixing aqueous solutions, R, G, and B emission films are obtained at room temperature, respectively. The emission color can be simply tuned by adjusting molar ratio of Eu3+: Tb3+: TPE. Notably, humidity‐responsive white emission film is obtained when Eu3+: Tb3+: TPE = 3:1:2.5. Owing to the dynamic coordination and electrostatic interaction, which can be activated by hydrating water, these films can be facilely reprocessed and self‐healed with the aid of water at room temperature. It is hoped that this approach to fabricate flexible supramolecular luminescent films can be applied to design various advanced functional soft materials. [ABSTRACT FROM AUTHOR]

This research paper analyzes the use of plasma technology to process biomass in the form of dried, mixed animal manure (dung containing 30% moisture). The irrational use of manure as well as huge quantities of it can negatively impact the environment. In comparison to biomass fermentation, the plasma processing of manure can greatly enhance the production of fuel gas, primarily synthesis gas (CO + H2). The organic part of dung, including the moisture, is represented by carbon, hydrogen, and oxygen with a total concentration of 95.21%, while the mineral part is only 4.79%. A numerical analysis of dung plasma gasification and pyrolysis was conducted using the thermodynamic code TERRA. For 300–3000 K and 0.1 MPa pressure, the dung gasification and pyrolysis were calculated with 100% dung + 25% air and 100% dung + 25% nitrogen, respectively. Calculations were performed to determine the specific energy consumption of the process, the composition of the products of gasification, and the extent of the carbon gasification. At 1500 K, the dung gasification and pyrolysis consumed 1.28 and 1.33 kWh/kg of specific energy, respectively. A direct-current plasma torch with a power rating of 70 kW and a plasma reactor with a dung processing capacity of 50 kg/h were used for the dung processing experiments. The plasma reactor consumed 1.5 and 1.4 kWh/kg when pyrolyzing and gasifying the dung. A maximum temperature of 1887 K was reached in the reactor. The plasma pyrolysis of dung and the plasma–air gasification of dung produced gases with specific heats of combustion of 10,500 and 10,340 kJ/kg, respectively. Calculations and experiments on dung plasma processing showed satisfactory agreement. In this research, exergy analysis was used to quantify the efficiency of the plasma gasification of biomass. One of the research tasks was to develop a methodology and establish standards for the further standardization of monitoring the toxic emissions of dioxins, furans, and Benzo[a]pyrene. [ABSTRACT FROM AUTHOR]

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The intrinsic quality of meat is directly related to muscle and fat tissues. Factors such as the rate and extent of anaerobic glycolysis affect muscle pH, influencing the meat's color, water holding, and texture. Postmortem anomalies can result in deviations from this intrinsic quality. The animals' diet plays a crucial role in meat quality. Specific nutrients, such as proteins, vitamins, and minerals, affect meat's texture, flavor, and juiciness. Feeds rich in omega-3 fatty acids can improve the sensorial quality of meat. Meat processing and methods such as aging, marinating, and cooking affect the texture, flavor, and juiciness, which can be evaluated by specific equipment or trained or untrained consumers. This comprehensive review investigates the relationship between animal feeding practices and meat processing techniques and their combined impact on meat quality and sensory perception. By synthesizing recent research, we explore how various feeding protocols (including diet composition and feed additives) and processing methods shape meat products' nutritional value, texture, flavor profile, and overall consumer appeal. Understanding this nexus is crucial for optimizing meat quality while ensuring sustainability and safety in the food supply chain. [ABSTRACT FROM AUTHOR]

Polygalae radix (PR) is the dried root of Polygala tenuifolia Willd. and Polygala sibirica L. and enjoys the reputation as the "key medicine for nourishing life." In this study, information about " Polygala tenuifolia Willd.," " Polygala sibirica L.," and "Yuanzhi" was retrieved from scientific databases, including Google Scholar, Baidu Scholar, Web of Science, PubMed, CNKI, and Wan Fang Data. Information from Chinese herbal medicine classics, Yaozhi Data, and the Gaide Chemical Network was also collected. Information related to botany, phytochemistry, pharmacology, toxicity, industrial applications, and processing is summarized in this paper to tap its potentialities and promote its further development and clinical application. More than 320 metabolites have been isolated from PR; saponins, xanthones, and oligosaccharide esters are the main functional metabolites. Pharmacological research shows that its pharmacological action mainly focuses on resisting nervous system diseases, and it also has the functions of anti-oxidation, anti-inflammation, anti-tumor, anti-pathogenic microorganisms and others. The gastrointestinal irritation of its saponins impeded its application, but this irritation can be reduced by controlling the dosage, compatibility with other herbs, or processing. The future progress of PR faces opportunities and challenges. More attention should be paid to the traditional application and processing methods of PR recorded in ancient books. The lack of safety and clinical studies has limited its application and transformation of achievements. Moreover, it is one-sided to take the content of only a few metabolites as the index of processing optimization and quality control, which cannot reflect the full pharmacological and toxicological activities of PR. [ABSTRACT FROM AUTHOR]

Highlights Considering their simplicity, processibility, and tunable rheological properties, polymer composite‐type precursors hold exceptional promise in the processing of polymers, ceramics, metals, and their composites. This large variety of precursors used in many different applications cover a large compositional space with dramatically varying rheological properties. Understanding how precursor composition influences their rheological properties is a key need towards streamlining the design and implementation of these precursors. With regard to this design advancement, this study elucidates the composition‐rheology relationships of graphene‐poly(ethylene) oxide (PEO) composite inks as a sample polymer composite‐type precursor. To this end, shear and extensional rheology of numerous compositions were studied across a wide compositional space, which varied graphene concentration, total solid concentration, and binder molecular weight. These studies showed that composition greatly affected various rheological parameters, such as the overall presence of yielding behavior. Specifically, this study illustrated the influence of (i) binder structure, (ii) total solid loading, and (iii) binder‐filler interactions on ink rheology. Extensional rheology was studied to examine how relaxation behaviors were dependent on composition and explicate how relaxation behaviors coincide with responses to shear forces. In tandem, our results illuminate significant composition‐rheology relationships in polymer composite‐type precursors. Rheology of polyethylene oxide‐graphene composite precursors were studied. Shear and extensional rheology, and their correlations were investigated. Composition‐binder molecular weight‐yielding relationships were elucidated. Extensional relaxation regimes were identified with respect to composition. Results can be used to determine compositional ranges for different processes. [ABSTRACT FROM AUTHOR]

This study provides new data on the use of agent focus (AF) versus transitive constructions in Kaqchikel. This work follows up on a study done by Heaton et al. (Heaton, Raina, Kamil Deen & William O'Grady. 2016. An investigation of relativization in Kaqchikel Maya. Lingua 170. 35–46) which found that while questioning the subject of a transitive verb regularly requires the use of AF or an antipassive, relativizing the subject of a transitive verb does not. Present findings show that AF is only common in half of the six primary syntactic contexts that allow it, which is unexpected under the assumption that AF is a last resort strategy. I suggest that the differences between these syntactic contexts in Kaqchikel are related to the presence of a preverbal lexical NP element which is available to be interpreted as the agent. Comparative descriptive evidence is also compiled demonstrating that transitive verbs are possible in syntactic contexts that traditionally have been considered to require AF across Eastern Mayan languages. [ABSTRACT FROM AUTHOR]

Nowadays, plastic contamination worldwide is a concerning reality that can be addressed with appropriate society education as well as looking for innovative polymeric alternatives based on the reuse of waste and recycling with a circular economy point of view, thus taking into consideration that a future world without plastic is quite impossible to conceive. In this regard, in this review, we focus on sustainable polymeric materials, biodegradable and bio-based polymers, additives, and micro/nanoparticles to be used to obtain new environmentally friendly polymeric-based materials. Although biodegradable polymers possess poorer overall properties than traditional ones, they have gained a huge interest in many industrial sectors due to their inherent biodegradability in natural environments. Therefore, several strategies have been proposed to improve their properties and extend their industrial applications. Blending strategies, as well as the development of composites and nanocomposites, have shown promising perspectives for improving their performances, emphasizing biopolymeric blend formulations and bio-based micro and nanoparticles to produce fully sustainable polymeric-based materials. The Review also summarizes recent developments in polymeric blends, composites, and nanocomposite plasticization, with a particular focus on naturally derived plasticizers and their chemical modifications to increase their compatibility with the polymeric matrices. The current state of the art of the most important bio-based and biodegradable polymers is also reviewed, mainly focusing on their synthesis and processing methods scalable to the industrial sector, such as melt and solution blending approaches like melt-extrusion, injection molding, film forming as well as solution electrospinning, among others, without neglecting their degradation processes. [ABSTRACT FROM AUTHOR]

Poly(dimethylsiloxane) (PDMS) has emerged as a promising polymer for fabricating optical waveguides. Its optical transparency, stretchability, flexibility, biocompatibility, and facile processing are a complement to common optical materials that are more brittle and stiff such as fused silica, polystyrene (PS), and poly(methyl methacrylate) (PMMA). Although PDMS is not a new material, with its first synthesis dating back to the early twentieth century, recent decades have seen an increased effort to expand its use in optical waveguides beyond conventional rubber applications. This review compiles established concepts and new advancements in PDMS science to shed light on limitations and new opportunities to better harness PDMS’ potential for optical waveguiding. With the materials science tetrahedron in mind (structure, properties, processing, and performance), this review explores the state‐of‐the‐art in PDMS waveguide technology and exposes relevant basic concepts pertaining to its physicochemical properties. The goal is to equip the photonics community with knowledge to further expand PDMS waveguide technology. The review covers three main topics: PDMS’ key properties (chemical, optical, thermal, and mechanical, besides biological and environmental aspects); PDMS waveguide fabrication techniques (processing, refractive index tuning, and post‐processing); and its applications. The review concludes with a discussion of current challenges and future prospects. [ABSTRACT FROM AUTHOR]

Background and Objectives: Faba beans are emerging as highly nutritious ingredients that have the potential to contribute to the global demand for healthy and sustainable plant‐based proteins. The current review aims to provide a summarized overview of faba bean macronutrients, protein quality, and antinutritional factors (ANFs), as well as their reduction strategies through a variety of processing means. Findings: Relative to other pulses, faba beans are higher in protein content and similar in protein quality. However, without proper preparation and/or processing, the presence of minor amounts of ANFs can hinder their nutritional value. These nonnutritive, but biologically active, compounds can be diminished through mechanical, thermal, and nonthermal treatments. Conclusions: Nonconventional processing techniques to retain or improve protein quality remain an area of future research for improving faba bean nutrition and expanding its utilization. Significance and Novelty: This review will advance the science and utilization of faba bean ingredients while providing future research opportunities. [ABSTRACT FROM AUTHOR]

Nominal tense is a cross-linguistically rare and understudied phenomenon, with past vs. non-past being the minimal distinction. In some languages, past nominal tense implies the reading 'deceased', while in others, lifetime effects (i.e., implicatures about whether an individual is dead or alive) restrict its use with permanent properties (as with kinship terms). In our study, we investigate for the first time the online processing of lifetime effects in sentences with past nominal tense and kinship terms following contextual information about an individual's lifetime status (dead or alive). An end-of-sentence acceptability judgment task completes the study. Evidence comes from 25 speakers of Pomak (Slavic, Greece) who use the realis past suffix to form, among others, definite articles, contrasting with a generic suffix for the future, habitual, and irrealis. In collaboration with a local Pomak research assistant, we prepared 80 experimental sentences with past nominal tense in four conditions, manipulating Lifetime Status (dead × alive) and Tense Concord between nominal and verbal tense/aspect (congruent × incongruent). Our results suggest that past nominal tense with kinship terms triggers a lifetime effect which is apparent during online processing. In the sentence final region, dead referents with future verbal tense are read faster, possibly due to the overtness and severity of the violation. Reading disruptions for dead referents while processing nominal tense are also discussed. In the acceptability task, participants rated sentences only based on the agreement of the lifetime status with verbal tense/aspect as the violation is overt and severe. The present study therefore offers support to previous reports of lifetime effects in other languages with nominal tense, highlighting another similarity between nominal and verbal tense. [ABSTRACT FROM AUTHOR]

This study investigates the processing and interpretation of the reflexive pronoun sich by Japanese and Korean learners of German as a second language. This is explored through the emergentist reflexivity approach, which hypothesizes that these learners will utilize their first language pragmatic strategies to bind sich, instead of syntactic binding found in German. Employing psycholinguistic methodology, a self-paced reading experiment is undertaken, utilizing antecedent judgements and introspective measures. The results show that instead of using the pertinent German syntax to bind sich, the learners continue to fall under the influence of their first language pragmatics. These results are discussed against the larger picture of reflexive theory, showing how German as a second language can advance our understanding of reflexivity. [ABSTRACT FROM AUTHOR]

Introduction: We discuss event-related power differences (ERPDs) in low- and broadband-γ oscillations as the embedded-clause edge is processed in wh-dependencies such as Which decision regarding/about him/her did Paul say that Lydie rejected without hesitation? in first (L1) and second language (L2) French speakers. Methods: The experimental conditions manipulated whether pronouns appeared in modifiers (Mods; regarding him/her) or in noun complements (Comps; about him/ her) and whether they matched or mismatched a matrix-clause subject in gender. Results: Across L1 and L2 speakers, we found that anaphora-linked ERPDs for Mods vs. Comps in evoked power first arose in low γ and then in broadband γ. Referential elements first seem to be retrieved from working memory by narrowband processes in low γ and then referential identification seems to be computed in broadband-γ output. Interactions between discourse- and syntax-based referential processes for the Mods vs. Comps in these ERPDs furthermore suggest that multidomain γ-band processing enables a range of elementary operations for discourse and semantic interpretation. Discussion: We argue that a multidomain mechanism enabling operations conditioned by the syntactic and semantic nature of the elements processed interacts with local brain microcircuits representing features and feature sets that have been established in L1 or L2 acquisition, accounting for a single language epistemology across learning contexts. [ABSTRACT FROM AUTHOR]

Crude palm oil (CPO) is commonly used in the oil industry. This study presents a comparison of the structural, rheological, and thermal properties of clarified CPO (CCPO) sample obtained using the conventional method and ultrasound-assisted (UA)-treated samples. These samples were obtained in the pressed (press liquor, PL), sifted (sifted liquor, SL), and clarification (outlet sludge, OS) stages. The frequencies used for the UA-treated samples were 40 and 80 kHz for 30 min. The PL and SL samples exhibited higher resistance to oxidative deterioration and nutritional quality than the CCPO sample did. The maximum oil extractability percentage (OEP) of the UA-treated samples relative to that of CCPO was 7.4 %. The bleachability index (DOBI) values of the UA-treated samples were higher (between 2.06 and 2.58) than that of the CCPO sample (1.43). However, the viscosity (η) displayed opposite trend. The thermal stability did not exhibit consistent patterns with increasing frequency. [ABSTRACT FROM AUTHOR]

Full‐tensor magnetic gradiometry data have been collected commercially for the last few years. However, to date, there is still no clarity on how to compare these data to scalar total field surveys. Some users display the vertical gradient of the vertical component (Bzz) and compare that to a first vertical derivative of total field with the caveat that ‘they are similar’. Others compute the length of the measured vector and call that total field. We establish the basic formulas to calculate total field from the tensor components and demonstrate this with a real data example from Thompson, Manitoba, Canada. Another key question is whether full‐tensor interpolation is required to obtain total field from tensor data. We compare the results from using a commercial full‐tensor interpolation algorithm with standard minimum curvature of the tensor components individually and with another open‐source code that uses a radial basis function interpolator on the individual tensor components. All three applications produced a total field grid of superior quality to that calculated from a scalar total field survey available for the area of study. [ABSTRACT FROM AUTHOR]

This paper presents an overview of recent works on microscale mechanical and other properties of silicon nitride (Si 3 N 4) determined by microcantilever bending tests and their relationships with the processing and microstructures. We first focus on deformation behaviors and fracture strength of Si 3 N 4 single crystals. β-Si 3 N 4 single crystals are plastically deformed at room temperature under high bending stress, and the yield stress depends on the crystal orientation. The critical resolved share stress of the primary slip system is determined to be below 1.5 GPa from the yield stress. Next, we address microscale mechanical properties of Si 3 N 4 polycrystalline ceramics. Emphasis is placed on their grain-boundary strength or toughness in conjunction with intergranular glassy film (IGF) which is determined by processing parameters such as sintering additives. Assessment is made on two cases of fractures at the IGF-grain interface and that within the IGF, and in each of the cases, effects of rare earth oxide additives are discussed. In Si 3 N 4 ceramics doped with Al 2 O 3 , β-SiAlON layer forming on β-Si 3 N 4 grains enhances the microscale grain-boundary strength. Finally, we shed light on microscale property-degradation behaviors of Si 3 N 4 ceramics, including the deterioration due to the contact with molten Al and the corrosion in sulfuric acid solution. The variation of the microscale properties appears in very short periods compared to the macroscale approaches, demonstrating the advantage in terms of rapid assessment of time-dependent degradation behaviors. [ABSTRACT FROM AUTHOR]

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Process‐induced deformation (PID) arises in thermoset parts due to internal residual stress developed from their anisotropic properties, resulting in distortions. While passive numerical manufacturing control exists, active manufacturing control is crucial for enhancing the manufacturing process. The work focuses on diagnosing the polymerization reaction, known as the curing process, to consider the influence of uncertainties in thermal loading conditions on the behavior of cure kinetics. This is achieved using a Particle Filter approach, wherein a posterior distribution of cure evolution is recursively approximated based on observed measurements from characterization tests. The algorithm is designed to simultaneously perform the diagnosis and prognosis of the Degree of Cure and PID. This approach adopts the augmented cure formulation to address various scenarios with uncertainties in thermal loading conditions. It offers the advantage of providing comparable PID predictions with minimal computational costs. C‐shaped thermoset parts made of epoxy/carbon fibers with varying thicknesses are cured using the Manufacturing Recommended Curing Cycle, and the predictions with the developed algorithm are validated against experimental measures. Upon validation, the converged prognosis capability of the Particle Filter model is employed to assess the impact of thermal loading uncertainty on cure profiles, which, in turn, affects the final PIDs outcome. Highlights: A Bayesian sampling approach enables the estimation of cure kinetics parameters.The estimated stochastic parameters forecast the process‐induced deformations.The augmented Degree of Cure accounts for uncertainties linked to thermal loadings.Analysis on AS4/8552 C‐shaped parts shows the cure kinetics impact.The framework reduces the computational costs required for active control. [ABSTRACT FROM AUTHOR]

Introduction: The incorporation of health-related sensors in wearable devices has increased their use as essential monitoring tools for a wide range of clinical applications. However, the signals obtained from these devices often present challenges such as artifacts, spikes, high-frequency noise, and data gaps, which impede their direct exploitation. Additionally, clinically relevant features are not always readily available. This problem is particularly critical within the H2020 BRAINTEASER project, funded by the European Community, which aims at developing models for the progression of Multiple Sclerosis (MS) and Amyotrophic Lateral Sclerosis (ALS) using data from wearable devices. Methods: The objective of this study is to present the automated pipeline developed to process signals and extract features from the Garmin Vivoactive 4 smartwatch, which has been chosen as the primary wearable device in the BRAINTEASER project. The proposed pipeline includes a signal processing step, which applies retiming, gap-filling, and denoising algorithms to enhance the quality of the data. The feature extraction step, on the other hand, utilizes clinical partners' knowledge and feedback to select the most relevant variables for analysis. Results: The performance and effectiveness of the proposed automated pipeline have been evaluated through pivotal beta testing sessions, which demonstrated the ability of the pipeline to improve the data quality and extract features from the data. Further clinical validation of the extracted features will be performed in the upcoming steps of the BRAINTEASER project. Discussion: Developed in Python, this pipeline can be used by researchers for automated signal processing and feature extraction from wearable devices. It can also be easily adapted or modified to suit the specific requirements of different scenarios. [ABSTRACT FROM AUTHOR]

The knowledge of biogenesis and target regulation of the phased small interfering RNAs (phasiRNAs) needs continuous update, since the phasiRNA loci are dynamically evolved in plants. Here, hundreds of phasiRNA loci of Arabidopsis thaliana were identified in distinct tissues and under different temperature. In flowers, most of the 24‐nt loci are RNA‐dependent RNA polymerase 2 (RDR2)‐dependent, while the 21‐nt loci are RDR6‐dependent. Among the RDR‐dependent loci, a significant portion is Dicer‐like 1‐dependent, indicating the involvement of microRNAs in their expression. Besides, two TAS candidates were discovered. Some interesting features of the phasiRNA loci were observed, such as the strong strand bias of phasiRNA generation, and the capacity of one locus for producing phasiRNAs by different increments. Both organ specificity and temperature sensitivity were observed for phasiRNA expression. In leaves, the TAS genes are highly activated under low temperature. Several trans‐acting siRNA—target pairs are also temperature‐sensitive. In many cases, the phasiRNA expression patterns correlate well with those of the processing signals. Analysis of the rRNA‐depleted degradome uncovered several phasiRNA loci to be RNA polymerase II‐independent. Our results should advance the understanding on phasiRNA biogenesis and regulation in plants. Summary statement: The RDR‐ and DCL‐dependent processing pathways and the polymerase‐dependent transcription pathways were analyzed for the phasiRNA loci identified from Arabidopsis thaliana. The temperature sensitivity and organ specificity of the phasiRNA loci, including the TAS genes are reported. [ABSTRACT FROM AUTHOR]

Recent studies in the second language acquisition of negation have focused on polarity items and their licensing contexts. Although several studies show a correlation between higher degrees of second language (L2) proficiency and the acquisition of the target L2 structures, less attention has been given to the relation between the acquisition of polarity sensitivity and different types of lexical polarity items. This study addresses this gap in the literature by measuring the processing of polarity-sensitive items under the scope of negation in L2 Spanish. Our findings indicate that learners' acquisition of polarity sensitivity differs across different types of lexical polarity items. [ABSTRACT FROM AUTHOR]

The dual pressures of climate change and population growth have made the development of new grains a necessity. Agriophyllum squarrosum (sand rice) has high adaptability to harsh environments and does not occupy agricultural land. It is widely cultivated and consumed in Central Asia. Sand rice, together with quinoa and buckwheat, belongs to the same pseudocereals group with rich nutritional value and gluten‐free properties; however, its nutritional composition and health benefits differ from those of quinoa and buckwheat. Sand rice seeds are a rich source of nutrients and bioactive compounds, including proteins, amino acids, unsaturated fatty acids, and crude fiber, which are similar to those in buckwheat and quinoa; however, their starch content is relatively low. Sand rice seeds also possess phenolic acids and flavonoids, which exhibit antioxidant, anticancer, anti‐diabetes, and anti‐inflammatory properties. Furthermore, sand rice extracts are considered suitable for treating some chronic diseases. Overall, sand rice is considered a good plant‐based food that can be used to develop various functional foods and beverages or mixed with other grains in different recipes. However, advancements in the processing technology of sand rice‐based foods are required to fully exploit the potential of sand rice in the food industry to improve human health. This review analyzes the current understanding of the nutritional content of sand rice by comparing it with that of quinoa and buckwheat. Furthermore, its potential medicinal activity and feasibility as a functional ingredient to improve food quality is discussed. [ABSTRACT FROM AUTHOR]

User interactivity can be enhanced in agricultural measurement and control systems, especially with the continuous advancements in natural language semantic processing. It is necessary to improve user-friendliness in control and query operations within the agricultural measurement and control field, in order to reduce the user operating costs. Firstly, a precise interface of human-computer interaction can be constructed to tailor for the agricultural domain, in order to efficiently translate the user's natural language input into understandable commands for the computer system. The current agricultural field has relied mainly on graphical user interfaces to meet human-computer interaction. But some limitations still remained over time, e.g., the high complexity of human-computer interaction and the low efficiency. Therefore, natural language interface (NLI) has been designed to establish the mapping between natural language from the nature of human-computer interaction. Agricultural measurement and control systems have been considered as the efficient strategy. Among them, the primary task of natural language understanding (NLU) is often used to transform the human language into computer-understandable structured expressions, in order to accurately capture the user's intention and semantics. Deep learning has been utilized to name entity recognition tasks in recent years. Relational components of sentences can be extracted to identify the sentence actions, and then incorporate the annotations of semantic roles, in order to understand the utterances for the computers. Entity recognition has distinctly realized the entity features in the specific domains. Commonly-named entities are usually characterized by fuzzy boundaries in the field of agricultural measurement and control systems. Some challenges remain in the quality of data and the accuracy of annotations, due to the relatively scarce data. It is important to directly apply to the agricultural measurement and control system. In this study, the agricultural measurement and control natural language interface (AMC-NLI) was presented to serve as the natural language interface for the agricultural measurement and control. The users were allowed to operate and control systems using natural language commands. These commands were interpreted using OPERATE, PLACE, and OBJECT attributes within the operate-place-object (OPO) ternary structure, and then transmitted to the gateways, nodes, or devices. Significant semantic information was previously lost using conventional methods when extracting entities from natural language commands, particularly when the commands contained multiple entities of the same type. Additionally, the entity order was confounded on the semantic relationships. A semantic parsing model called BERT-BiLSTM-ATT-CRF-OPO was proposed for the recognition tasks of the named entity in the command parsing of the measurement and control system. BERT pre-trained language models were utilized for the word embedding to enhance contextual understanding. The bidirectional long short-term memory networks (BiLSTM) were employed to capture the semantic features of long sentences and long-distance dependent information. An attention mechanism was incorporated to prioritize the features related to named entities for better local feature extraction. Conditional Random Field (CRF) was utilized to learn the labeling constraints and output globally optimal labeled sequences. The experimental results show that the BERT-BiLSTM-ATT-CRF-OPO model achieved a recognition accuracy of 92.13%, a recall of 93.12%, and an F1 score of 92.76% for the three types of entities. The improved model performed well in the AMC-NLI agricultural measurement and control command interaction, with the accuracy, precision, recall, F-value, and average maximum response time reaching 91.63%, 92.77%, 92.48%, 91.74%, and 2.45s, respectively. The human-computer interaction was enhanced in the agricultural measurement and control system, in order to improve the recognition accuracy of command entity. The finding can offer novel insights into Chinese command parsing, indicating the potential application of natural language processing in agriculture. A more user-friendly and efficient humancomputer interaction was provided for future agricultural measurement and control systems. [ABSTRACT FROM AUTHOR]

Summary: Pulsed electric field (PEF) technology is emerging as a versatile and effective alternative to traditional thermal processing, adeptly meeting consumer demands for fresh, safe, tasty, nutritious, and sustainable food products. By applying high‐voltage electric pulses for microseconds to milliseconds, PEF achieves microbial inactivation with minimal thermal impact. Beyond preservation, PEF technology can be used as a pre‐treatment for raw food materials to modify their cell structure, thus facilitating the subsequent food processing steps. Although initially applied to liquid foods, PEF application has been expanded to a diverse range of food categories, including juices, wines, potatoes, meats, and freeze‐dried products. Each application of PEF involves specific process parameters, which significantly influence the product outcomes. This review discusses the application of PEF across various food categories, with a focus on its impact on sensory attributes under different settings. The discussion will mainly revolve current research gaps and proposes strategies to increase consumer acceptance of PEF‐treated products, along with approaches for effectively communicating the benefits of this novel processing technology. It was found that emphasising the sensory, nutritional, and shelf‐life benefits on product packaging, and highlighting its environmental‐friendly benefit can improve consumer acceptance of PEF‐treated products. Furthermore, educating industry practitioners about the advantages of PEF is crucial for its broader implementation in food manufacturing. The successful advancement of PEF technology hinges on collaboration efforts among technologists, industry experts, sensory, and consumer scientists. [ABSTRACT FROM AUTHOR]

Sketches are fundamental in design and crucial representations for ideation, problem-solving, and communication. In the realm of architecture, sketches encapsulate the evolution of ideas from conceptualization to construction. Hand-drawn sketches, characterized by their open-ended, ambiguous nature and rapid production, are indispensable in bridging the gap between abstract concepts and tangible designs, guiding the progression from early design stages to final product realization. However, despite their significant potential and pivotal role in the design process, hand sketches have often been overlooked and swiftly abandoned in the ongoing discourse surrounding traditional versus digital design methodologies, particularly with the widespread integration of computer technologies. This study endeavours to unlock the wealth of information embedded within hand sketches, from initial design concepts to intricate manufacturing details, using a hybrid digital form-finding tool. By employing swarm algorithms in the quest for form, it is anticipated that the boundaries of conceptual ideas delineated by hand sketches will be expanded. This is facilitated by an algorithm developed in Processing using the Java coding language, complemented by an intuitive interface. The research commences with a comprehensive literature review encompassing biomimetics, sketching techniques, and tools for transitioning hand sketches into digital realms. Subsequently, a thorough elucidation of the algorithm, crafted within the Processing environment, is provided. The tool's efficacy is assessed through experimentation involving adjustments of various parameters on identical sketches and application to seven architectural sketches representing built designs, with subsequent interpretation of the outcomes. It is posited that the adaptability of the algorithm's core logic, coupled with the development-friendly environment of Processing, holds immense potential for empowering designers to steer sketches in desired directions through tailored enhancements. [ABSTRACT FROM AUTHOR]

The nutrition and food industries are investigating unconventional protein sources because of the expanding demand for plant proteins and increased knowledge of the health and nutritional benefits of alternative proteins. Proteins from faba beans are high and outperform other pulse proteins in terms of nutrition and functionalities. Raw faba beans contain numerous allergenic compounds hindering the potential for utilization in various foods. Processing faba beans by extracting of valuable compounds such as proteins enhances the applicability in different food systems and ensuring safety during consumption. Major proteins identified are globulins and non-globulin fractions with no adverse amino acids. Faba beans proteins are easy to extract however presence of pyrimidine glycoside may raise safety concerns. Faba bean proteins have useful functionalities for food applications but their solubility are minimal due to their compact protein structure. Further, different thermal and non-thermal techniques have been aimed at improving functionality and reduce allergenic proteins. The goal of this review is to provide a comprehensive summary on current investigation on faba bean proteins. Suggestions for improving the faba bean's utilization are also provided to aid in its development. [ABSTRACT FROM AUTHOR]

Lentils (Lens culinaris Medik.), the earliest legumes grown by humans, are essential food sources in many countries. This review summarizes the nutrient profile, phytochemical profile, sensory properties, bioaccessibility, along with health benefits of lentils. Lentils are not only rich in protein, carbohydrates, and fats but various bioactive substances, especially flavonoids and phenolic acids. However, their bioavailability is poor due to the presence of certain antinutritional factors, containing tannins, phytic acid, protease inhibitors as well as lectins. Specific information for the bioaccessibility and bioavailability of phenolics and minerals in lentils is listed. Besides, several conventional along with novel techniques that used to improve bioaccessibility and bioavailability of lentils, such as soaking, dehulling, thermal processing, isoelectric precipitation, pulsed electric field, and high-pressure processing are introduced as well. In addition, various potential health benefits are reviewed, including anti-inflammatory, anticancer, antidiabetic, and anti-obesity properties. Thereby, increased consumption and utilization of lentils as functional foods are considered the key to combating certain chronic diseases in the human body. Lastly, some suggestions are put forward for the future direction of lentils. [ABSTRACT FROM AUTHOR]

Beans (Phaseolus vulgaris), also known as the common beans, are broadly cultivated in temperate and semitropical regions. P. vulgaris contain different varieties, such as kidney beans, black beans, navy beans, pinto beans, and Great Northern beans. This legume is an excellent source of nutrients, including protein, carbohydrates, vitamins, minerals, and phytochemical compounds. The phytochemicals in beans comprise bioactive substances such as phenolic compounds, phytosterols, and oligosaccharides. These bioactive substances exhibit health and therapeutic benefits including antioxidant, cholesterol-lowering, anti-cancer, anti-diabetic, and anti-inflammatory potential. However, there is another category of essential phytochemicals, the antinutrients (e.g. enzyme inhibitors, phytic acids/phytates, saponins, and lectins), that negatively influence nutrient digestion and absorption. This review aims to describe the nutritional and phytochemical compounds of beans as well as the impact of different processing methods on bean phytochemicals, including soaking, extrusion, germination, roasting, steaming, autoclaving, boiling, cooking, microwaving, high-pressure processing, ultrasound, and pulsed electric field. In addition, the differences regarding volatile compounds; the impacts of storage on phytochemicals in beans; their bioaccessibility and digestibility; and the potential health benefits of bean consumption are introduced and evaluated. [ABSTRACT FROM AUTHOR]

When processing surgical instruments after use, the safe, residue-free removal of blood and blood-containing soiling is one of the most important tasks. There are recommendations from various working groups regarding the ideal timeframe for cleaning used instruments in order to ensure safe disinfection and sterilization and avoid adverse effects. These are generally based primarily on practical experience and there is little systematic work on this topic. In the present study, cleaning experiments with test specimens previously contaminated with sheep's blood were performed, and in this way the effects of the drying time of whole blood on the results of the subsequent cleaning were examined. Reflecting practice, both visual and spectroscopic methods were used to quantify residual protein. The experimental results were evaluated both as a function of the drying time and the residual moisture of the blood. Drying blood was particularly difficult to remove within the first 1–2 h. In this phase, in which the blood is coagulated but not yet completely dried, considerably more protein residues remained on the test specimens after cleaning than after longer standing times. There is a timeframe for the removal of blood residues in which optimum cleaning results can be expected. As a consequence, there are also standing times that are disadvantageous for reprocessing. Based on the experimental data, it was deduced that this optimum time is either directly after contamination or in the range of >3 h and <24 h after soiling. [ABSTRACT FROM AUTHOR]