Process Streams Research Articles

How positive and negative feedback following real interactions changes subsequent sender ratings

Social evaluative feedback informs us about how others perceive us, constantly updates our expectations of what to receive, and simultaneously changes our view of the sender. However, little is known about the neuronal and behavioral responses when receiving incongruent positive or negative social evaluative feedback. This study (N = 40) investigated how receiving feedback from peers after a real-life interaction modulates behavioral responses and Event-Related Potentials (ERPs). Specifically, ERP modulations by feedback being incongruent with the self-view and incongruent with the feedback expectation were examined along the whole processing stream. Feedback was manipulated such that one peer provided overly positive feedback and the other overly negative feedback, with random computer feedback as a control condition. Behaviorally, participants updated their feedback expectations according to the feedback received from the ‘negative’ and ‘positive’ peers and rapidly changed ratings of the sender towards their positive or negative behavior. Concerning ERPs, separate effects of feedback incongruence based on the feedback expectation or self-view were found during the mid-latency processing stages. Subsequently, both types of incongruence increased late ERP amplitudes, which were also increased when participants substantially changed the ratings of the peer senders. This is the first study that combined neuronal and behavioral measures of evaluative feedback processing, emphasizing that incongruent feedback elicits mid-latency modulations and subsequent updating processes associated with increased late amplitudes. In addition, we find rapid behavioral changes in the ratings for the senders based on their feedback behavior.

Orderly specification and precise laminar deployment of mouse cortical projection neurontypes through intermediate progenitors.

Orderly specification and precise laminar deployment of mouse cortical projection neurontypes through intermediate progenitors.

Coupling Ni-based anodes for textile industry process stream electrooxidation with electrocatalytic CO2 reduction to formate in gas phase

Coupling Ni-based anodes for textile industry process stream electrooxidation with electrocatalytic CO2 reduction to formate in gas phase

Age-related changes in attentional selection: revealing processes underlying the degradation of task set quality.

The present study further explored the age-related changes in attentional selection, first reported by Jackson and Balota Jackson and Balota (Psychology and Aging 28:3, 2013). To this end, response stimulus interval (RSI) was manipulated in in a Stroop paradigm that allows to isolate different components of the overall Stroop effect. The originally reported reduction of the overall Stroop effect in short (vs. long) RSI was successfully replicated. In line with the original claim that the ability to maintain the relevant task set consistently across time is preserved in older adults, this reduction failed to interact again with age - a null result that was uniquely supported in the present study with Bayesian evidence. Although healthy aging affected all components of the overall Stroop effect, the present study further identified interference and a disproportionally larger semantic conflict effect, as being the primary mechanisms behind the larger overall Stroop effect that older adults produce compared to younger adults. These results therefore directly fuel the original conclusion of Jackson and Balota Jackson and Balota (Psychology and Aging 28:3, 2013) that age-related differences in attentional selection are due the degradation of task set quality, namely a lesser ability of older adults to control interference. The present study additionally showed this reduced control of interference directly and identified where in the processing stream it occurs. The immediate implication that challenges the dominant unitary models of Stroop performance, is that future interventions designed to boost interference control in older adults should most likely target semantic, as opposed to response conflict.

Short association fibres form topographic sheets in the human V1–V2 processing stream

Abstract Despite the importance of short association fibres (SAF) for human brain function their structures remain understudied. It is not known how SAF are organised across the brain, and how consistent their geometries and locations are across individuals. To address this gap, we mapped the precise structures of SAF in the primary (V1) and secondary (V2) visual cortex in a group of participants in vivo and a post mortem specimen. We assessed the consistency of SAF geometries and their expected structural and functional topography using probabilistic tractography on sub-millimetre resolution diffusion-weighted MRI combined with functional MRI retinotopic maps in vivo. We found that dense SAF connected V1 and V2, forming sheet structures with retinotopic topography and bearing consistent geometries that resembled the local V1–V2 cortical folding. In vivo findings were corroborated by the robust and fine-grained post mortem reference. Our in vivo approach provides important insights into SAF organisation and could be applied to studies across species on cortical and SAF reorganisation and support neuronavigation.

Energy efficiency potential determination for an oil treatment and stabilization unit at the field

Relevance. The desire to increase the energy efficiency of industrial enterprises and reduce greenhouse gas emissions from their activities. Reducing specific energy consumption at large oil refineries and petrochemical plants is not new and is quite widely used. Dozens of monographs and thousands of articles are devoted to these areas. But it should be taken into account that in the oil refining industry, all crude oil, even that which does not reach the refinery, necessarily passes through oil preparation and stabilization units at the fields. Therefore, in order to create energy-efficient and environmentally friendly processes throughout the entire oil refining chain, it is necessary to increase the energy efficiency of the oil preparation and stabilization units located at the fields. There are very few research works on thermal energy integration of oil preparation and stabilization units. Aim. Determination of target design and energy values for an energy-efficient retrofit project of the heat exchange network for the surveyed oil preparation and stabilization units and of its energy efficiency potential. Methods. Pinch analysis methods are used to determine the target values of an energy-efficient retrofit project. Mathematical modeling of heat exchange processes in the heat exchange network and economic analysis were performed using the Pinch 2.02 software; the Aspen HYSYS software package was used to create a simulation engineering model of the oil preparation and stabilization units. Results. When determining the target values of the heat exchange network retrofit project, the cost of energy and heat exchange equipment, the cost of collectors for splitting process streams, and technical restrictions on the placement of heat exchanger sections were taken into account. The inclusion of fuel gas in the process stream table has allowed the definition of target parameters for the optimal unit heat exchange network design to evolve. In the process of evolution of target values, the energy efficiency potential of the surveyed oil preparation and stabilization units was determined, which shows the possibility of reducing specific energy consumption by 77%. Upon implementation of the heat exchange network retrofit project and achievement of target parameters, the following economic results will be obtained: IRR=42%, NPV=7425780 USD, DPP 4 years. Also, CO2 emissions can be reduced by 30 thousand tons per year. It should be noted that the evolution of target designation and all target values for the reconstruction project were obtained before the implementation of the heat exchange network oil preparation and stabilization units project itself.

Neural Correlates of the Musicianship Advantage to the Cocktail Party Effect.

Prior research has indicated musicians show an auditory processing advantage in phonemic processing of language. The aim of the current study was to elucidate when in the auditory cortical processing stream this advantage emerges in a cocktail-party-like environment. Participants (n = 34) were aged 18-35 years and deemed to be either a musician (10+-year experience) or nonmusician (no formal training). EEG data were collected while participants were engaged in a phoneme discrimination task. During the task, participants were asked to discern auditory "ba" and "pa" phonemes in two conditions: one with competing speech (target with distractor [TD]) and one without competing speech (target only). Behavioral results showed that musicians discriminated phonemes better under the TD condition than nonmusicians, whereas no performance differences were observed during the target only condition. Analysis of the EEG ERP showed musicianship-based differences at both early (N1) and late (P3) processing stages during the TD condition. Specifically, musicians exhibited decreased neural activity during the N1 and increased neural activity during the P3. Source localization of the P3 showed that musicians increased activity in the right superior/middle temporal gyrus. Results from this study indicate that musicians have a phonemic processing advantage specifically when presented in the context of distraction, which arises from a shift in neural activity from early (N1) to late (P3) stages of cortical phonemic processing.

ATEX-Certified, FPGA-Based Three-Channel Quantum Cascade Laser Sensor for Sulfur Species Detection in Petrochemical Process Streams.

In this work, a highly sensitive, selective, and industrially compatible gas sensor prototype is presented. The sensor utilizes three distributed-feedback quantum cascade lasers (DFB-QCLs), employing wavelength modulation spectroscopy (WMS) for the detection of hydrogen sulfide (H2S), methane (CH4), methyl mercaptan (CH3SH), and carbonyl sulfide (COS) in the spectral regions of 8.0 µm, 7.5 µm, and 4.9 µm, respectively. In addition, field-programmable gate array (FPGA) hardware is used for real-time signal generation, laser driving, signal processing, and handling industrial communication protocols. To comply with on-site safety standards, the QCL sensor prototype is housed in an industrial-grade enclosure and equipped with the necessary safety features to ensure certified operation under ATEX/IECEx regulations for hazardous and explosive environments. The system integrates an automated gas sampling and conditioning module, alongside a purge and pressurization system, with intrinsic safety electronic components, thereby enabling reliable explosion prevention and malfunction protection. Detection limits of approximately 0.3 ppmv for H2S, 60 ppbv for CH3SH, and 5 ppbv for COS are demonstrated. Noise-equivalent absorption sensitivity (NEAS) levels for H2S, CH3SH, and COS were determined to be 5.93 × 10-9, 4.65 × 10-9, and 5.24 × 10-10 cm-1 Hz-1/2. The suitability of the sensor prototype for simultaneous sulfur species monitoring is demonstrated in process streams of a hydrodesulphurization (HDS) and fluid catalytic cracking (FCC) unit at the project's industrial partner, OMV AG.

A double dissociation between semantic and spatial cognition in visual to default network pathways

Processing pathways between sensory and default mode network (DMN) regions support recognition, navigation, and memory but their organisation is not well understood. We show that functional subdivisions of visual cortex and DMN sit at opposing ends of parallel streams of information processing that support visually mediated semantic and spatial cognition, providing convergent evidence from univariate and multivariate task responses, intrinsic functional and structural connectivity. Participants learned virtual environments consisting of buildings populated with objects, drawn from either a single semantic category or multiple categories. Later, they made semantic and spatial context decisions about these objects and buildings during functional magnetic resonance imaging. A lateral ventral occipital to fronto-temporal DMN pathway was primarily engaged by semantic judgements, while a medial visual to medial temporal DMN pathway supported spatial context judgements. These pathways had distinctive locations in functional connectivity space: the semantic pathway was both further from unimodal systems and more balanced between visual and auditory-motor regions compared with the spatial pathway. When semantic and spatial context information could be integrated (in buildings containing objects from a single category), regions at the intersection of these pathways responded, suggesting that parallel processing streams interact at multiple levels of the cortical hierarchy to produce coherent memory-guided cognition.

A double dissociation between semantic and spatial cognition in visual to default network pathways.

Processing pathways between sensory and default mode network (DMN) regions support recognition, navigation, and memory but their organisation is not well understood. We show that functional subdivisions of visual cortex and DMN sit at opposing ends of parallel streams of information processing that support visually mediated semantic and spatial cognition, providing convergent evidence from univariate and multivariate task responses, intrinsic functional and structural connectivity. Participants learned virtual environments consisting of buildings populated with objects, drawn from either a single semantic category or multiple categories. Later, they made semantic and spatial context decisions about these objects and buildings during functional magnetic resonance imaging. A lateral ventral occipital to fronto-temporal DMN pathway was primarily engaged by semantic judgements, while a medial visual to medial temporal DMN pathway supported spatial context judgements. These pathways had distinctive locations in functional connectivity space: the semantic pathway was both further from unimodal systems and more balanced between visual and auditory-motor regions compared with the spatial pathway. When semantic and spatial context information could be integrated (in buildings containing objects from a single category), regions at the intersection of these pathways responded, suggesting that parallel processing streams interact at multiple levels of the cortical hierarchy to produce coherent memory-guided cognition.

Tripartite organization of brain state dynamics underlying spoken narrative comprehension.

Speech comprehension involves the dynamic interplay of multiple cognitive processes, from basic sound perception, to linguistic encoding, and finally to complex semantic-conceptual interpretations. How the brain handles the diverse streams of information processing remains poorly understood. Applying Hidden Markov Modeling to fMRI data obtained during spoken narrative comprehension, we reveal that the whole brain networks predominantly oscillate within a tripartite latent state space. These states are, respectively, characterized by high activities in the sensory-motor (State #1), bilateral temporal (State #2), and default mode networks (DMN; State #3) regions, with State #2 acting as a transitional hub. The three states are selectively modulated by the acoustic, word-level semantic, and clause-level semantic properties of the narrative. Moreover, the alignment with both the best performer and the group-mean in brain state expression can predict participants' narrative comprehension scores measured from the post-scan recall. These results are reproducible with different brain network atlas and generalizable to two datasets consisting of young and older adults. Our study suggests that the brain underlies narrative comprehension by switching through a tripartite state space, with each state probably dedicated to a specific component of language faculty, and effective narrative comprehension relies on engaging those states in a timely manner.

High-throughput precision assessment of pea-derived protein products using near infrared hyperspectral imaging.

High-throughput precision assessment of pea-derived protein products using near infrared hyperspectral imaging.

Emulation of the subjective experience of visual dorsal stream dysfunction: a description of three in depth case studies.

These case studies explore the subjective visual experiences of individuals with cerebral visual impairment (CVI), specifically dorsal stream dysfunction (DSD) characterized by simultanagnosia. Through three in-depth case studies, this work documents the challenges these individuals face when navigating cluttered environments. The individuals were asked to describe their visual experiences while watching videos of varying complexity, with the future aim of creating a simulation of simultanagnosia. This process revealed a dynamic constriction of their attentional visual fields as scene complexity increased, and vice versa. Notably, the volunteers experienced a phenomenon where their vision could "get stuck" on specific items, with an apparent concurrent reduction in their ability to perceive and describe visual information as visual clutter increased. These consistent observations indicate that the symptoms of simultanagnosia are not simply limited to perceiving one or two objects at a time but can vary dynamically in response to environmental complexity. They enhance our understanding of how DSD impacts visual search and perceptual experiences, prompting us to propose the term "simultanagnostic vision" to describe this more nuanced and dynamic manifestation of CVI. The results are critical for developing effective interventions and optimizing support strategies for individuals affected by DSD, particularly children at sensitive developmental stages. Furthermore, we recommend deeper investigation into how different visual processing streams in the brain interconnect and influence each other, which may open new avenues for targeted therapeutic interventions.

5-Hydroxymethylfurfural (HMF) synthesis in a deep eutectic solvent-based biphasic system: closing the loop of solvent reuse, product isolation and green metrics

The scale up and recycling of all process streams in the H4SiW12O40 catalyzed dehydration of d-fructose (Fru) to 5-hydroxymethylfurfural (HMF) were investigated.

Evaluation of the grinding performance at the Saucito I Plant and optimization of the Knelson QS30 gravimetric concentrator

Gravimetric concentration of minerals is a solid-solid separation process used to increase the percentage of the desired mineral. The objective of this work is to evaluate the performance and efficiency of grinding in a Knelson QS30 Gravimetric Concentrator, through the granulometric distributions of the process streams, the efficiency of screens and circulating loads, for its optimization in the extraction of Au and Ag in the Saucito I Plant. The experimentation was carried out at the plant located in the El Saucito del Poleo Ejido in Fresnillo, Zac. To achieve the objective, a sampling of the grinding area was carried out, some variables were kept constant, the concentration time was modified at the same fluidization flow of the concentrator. The results showed the need to optimize the concentration time. In conclusion, by optimizing the fluidization flow and concentration cycle time, the concentration of gold is increased.

Digitalized Optical Sensor Network for Intelligent Facility Monitoring

Due to their inherent advantages, optical fiber sensors (OFSs) can substantially contribute to the monitoring and performance enhancement of energy infrastructure. However, optical fiber sensor systems often are standalone solutions and do not connect to the main energy infrastructure control systems. In this paper, we propose a solution for the digitalization of an optical fiber sensor system realized by the Open Platform Communications Unified Architecture (OPC UA) protocol and the Internet of Things (IoT) platform Insights Hub. The optical fiber sensor system is based on bidirectional incoherent optical frequency domain reflectometry (biOFDR) and is used for the interrogation of fiber Bragg grating (FBG) arrays. To allow for an automated sensor identification and thus measurement procedure, an optical sensor identification marker based on a unique combination of fiber Bragg gratings (FBGs) is established. To demonstrate the abilities of the digitalized sensor network, a field test was performed in a power plant test facility of Siemens Energy. Temperature measurements of a packaged FBG sensor fiber were performed with a portable demonstrator, illustrating the system’s robustness and the comprehensive data processing stream from sensor value formation to the cloud. The realized network services promote sensor data quality, fusion, and modeling, expanding opportunities using digital twin technology.

Going Live: A Look at Memory, Enjoyment, Perceived Learning and Credibility, Across Live Streaming and Non-Live Short-Form Video Viewing

Short-form videos, often found on TikTok but available across social media, are increasing in both popularity and in the frequency that they are sought out for informational purposes. Short-form videos can be delivered via live streaming or via pre-recorded messages, both of which provide different affordances to users. We explore two of these affordances: The synchronous communication between viewers, creators, and moderators permitted by live streaming short-form videos, and the presence of visuals in videos, which provide complementary information via a second perceptual processing stream. An experiment with an undergraduate student sample (N = 412) was conducted. Data demonstrates a clear pattern of live streaming (with its synchronous communication affordances) resulting in greater enjoyment, perceived credibility, perceived learning, and recall memory, whereas the presence of visuals does not influence most of these outcomes. Implications are discussed.

What Is Faster than Where in Vocal Emotional Perception.

Voices carry a vast amount of information about speakers (e.g., emotional state; spatial location). Neuroimaging studies postulate that spatial ("where") and emotional ("what") cues are processed by partially independent processing streams. Although behavioral evidence reveals interactions between emotion and space, the temporal dynamics of these processes in the brain and its modulation by attention remain unknown. We investigated whether and how spatial and emotional features interact during voice processing as a function of attention focus. Spatialized nonverbal vocalizations differing in valence (neutral, amusement, anger) were presented at different locations around the head, whereas listeners discriminated either the spatial location or emotional quality of the voice. Neural activity was measured with ERPs of the EEG. Affective ratings were collected at the end of the EEG session. Emotional vocalizations elicited decreased N1 but increased P2 and late positive potential amplitudes. Interactions of space and emotion occurred at the salience detection stage: neutral vocalizations presented at right (vs. left) locations elicited increased P2 amplitudes, but no such differences were observed for emotional vocalizations. When task instructions involved emotion categorization, the P2 was increased for vocalizations presented at front (vs. back) locations. Behaviorally, only valence and arousal ratings showed emotion-space interactions. These findings suggest that emotional representations are activated earlier than spatial representations in voice processing. The perceptual prioritization of emotional cues occurred irrespective of task instructions but was not paralleled by an augmented stimulus representation in space. These findings support the differential responding to emotional information by auditory processing pathways.

Assessing the Environmental Impacts of the Valorization of Creole-Antillean Avocado via an Extractive-Based Biorefinery in the Montes de María Region

In recent years, the environmental evaluation of biorefineries has become critical for ensuring sustainable practices in bio-based production systems. This study focuses on the application of the Waste Reduction (WAR) Algorithm to assess the environmental impacts of an Extractive-based Creole-Antillean Avocado Biorefinery located in Northern Colombia, aimed at producing bio-oil, chlorophyll, and biopesticide from avocado pulp, peel, and seed, respectively. The environmental impacts were evaluated using the WAR algorithm, which quantifies the potential environmental impacts (PEI) of different process streams. The following four scenarios were developed: (1) considering only waste, (2) including waste and products, (3) including waste and energy sources, and (4) incorporating waste, products, and energy consumption. This study analyzed global impacts focusing on atmospheric and toxicological categories, with a detailed assessment of the most critical scenario. The results indicated that Scenario 4 had the highest PEI, particularly in the atmospheric and toxicological categories, driven by emissions of volatile organic compounds (VOCs), greenhouse gases (GHGs), and the presence of heavy metals. However, the avocado biorefinery process demonstrated a net reduction in overall environmental impacts, with negative PEI generation rates across all scenarios, suggesting that the biorefinery transforms high-impact substances into products with lower global impact potential. Energy consumption emerged as a significant contributor to environmental impacts, particularly in acidification potential (AP) and Atmospheric Toxicity Potential (ATP). Using natural gas as an energy source had a relatively lower environmental impact compared to coal and liquid fuels, emphasizing the need to optimize energy use in biorefinery design to improve environmental performance.

Convergence of Type 1 Spiral Ganglion Neuron Subtypes onto Principal Neurons of the Anteroventral Cochlear Nucleus.

The mammalian auditory system encodes sounds with subtypes of spiral ganglion neurons (SGNs) that differ in sound level sensitivity, permitting discrimination across a wide range of levels. Recent work suggests the physiologically defined SGN subtypes correspond to at least three molecular subtypes. It is not known how information from the different subtypes converges within the cochlear nucleus. We examined this issue using transgenic mice of both sexes that express Cre recombinase in SGNs that are positive for markers of two subtypes: CALB2 (calretinin) in type 1a SGNs and LYPD1 in type 1c SGNs, which correspond to high- and low-sensitivity subtypes, respectively. We crossed these with mice expressing floxed channelrhodopsin, which allowed specific activation of axons from type 1a or 1c SGNs using optogenetics. We made voltage-clamp recordings from bushy cells in the anteroventral cochlear nucleus (AVCN) and found that the synapses formed by CALB2- and LYPD1-positive SGNs had similar EPSC amplitudes and short-term plasticity. Immunohistochemistry revealed that individual bushy cells receive a mix of 1a, 1b, and 1c synapses with VGluT1-positive puncta of similar sizes. We used optogenetic stimulation during in vivo recordings to classify chopper and primary-like units as receiving versus nonreceiving 1a- or 1c-type inputs. These groups showed no significant difference in threshold or spontaneous rate, suggesting the subtypes do not segregate into distinct processing streams in the AVCN. Our results indicate that principal cells in the AVCN integrate information from all SGN subtypes with extensive convergence, which could optimize sound encoding across a large dynamic range.