Conversion Behavior Research Articles

A low-temperature process for lithium extraction from lithium-bearing mineral: Conversion behavior and mechanisms

Lithium extraction from lithium-bearing clay mineral (LiBC) has received significant attention due to the increasing demand of lithium for the advanced renewable energy industry. However, the low contents of valuable elements and stable physiochemical properties of LiBC result in high energy consumption and low efficiency in extracting lithium from LiBC. This study demonstrates a low-temperature strategy using (NH4)2SO4 as an additive to effectively extract lithium from LiBC. In details, the thermodynamic analysis verifies that Li, Al, and Fe can be converted to sulfates at 250–450 °C during thermal treatment, indicating the possibility for extraction of Li under low-temperature conditions. Subsequently, the leaching behavior of lithium under different roasting temperatures and water leaching conditions was investigated. The results show that 83.43 % of Li can be extracted under optimized conditions. The mechanism study was carried out through a number of characterization techniques including 3D microscope, TG-DSC, XRD, FTIR, and SEM. It reveals that formation of liquidus phase of molten salt is the key to achieve low-temperature roasting and transfer and reactions at the interface of molten salt and LiBC can be significantly enhanced that can easily breakdown the interlayer structures. Consequently, it offers distinct advantages, since the roasting temperature can be significantly decreased with minor impurity ions being leached into the solutions. This research therefore provides an efficient and environmentally friendly method for lithium extraction from minerals.

Using State Space Grids to Quantify and Examine Dynamics of Dyadic Conversation

ABSTRACT This paper illustrates how to implement state space grid analysis for analyzing the back-and-forth multi-turn dynamics that manifest in dyadic conversations. In doing so, we contribute to a dynamic dyadic systems perspective that seeks to advance theories about individual and relational antecedents and outcomes of interpersonal communication through the articulation and study of dyadic interaction dynamics. We first review state space grid terminology, data requirements, visualizations, and quantifications, and how the use of state space grid analysis maps to conversation-related research questions. We then illustrate the application of state space grids to the examination of dyadic support conversations; specifically, we demonstrate how this method can be used to derive parameters that operationalize the use of or movement in the state space and to examine between-dyad differences in movement through the state space. Empirically, we found that conversation behavior flexibility was related to characteristics of the dyadic relationship but not to support receiver outcomes, and that our operationalizations of conversation attractors were related to neither relational characteristics nor support receiver outcomes. We conclude with a discussion of theoretical, methodological, and practical issues that researchers can consider when using state space grids in the analysis of conversation dynamics.

A modified dumbbell-shaped highly efficient broadband multifunctional polarizer for X and Ku band applications

Abstract A novel metasurface offering polarization conversion characteristic in five bands is studied and developed in this paper. To provide the anisotropic feature to the structure, a diagonally placed tapered rod is combined with two semicircular stubs. Due to the controlling ability to convert horizontal to vertical polarization and vice versa, and linear to circular polarization (CP), it serves as a multifunctional polarization converter. Simulation results suggest that the proposed polarizer functions as cross polarizer over 4.74−5.12 and 9.12−13.48 GHz. Additionally, it exhibits a distinct type of rotational sense across 4.24−4.68, 5.24−8.64, and 13.72–15.14 GHz in its linear to CP conversion behavior. The axial ratio of the polarizer is well below 3 dB throughout overall CP bands due to the minimum tolerance level in reflection phases with respect to acceptable limits. Moreover, it is noticed that the sense of CP is left-handed in the first band while right-handed in the remaining two bands. Thus, the suggested polarizer has potential to be integrated with antennas for satellite, defense, industry applications for getting the desired type of polarization in the distinguished bands.

Comparative profiling of the absorbed compounds and metabolites, and pharmacokinetic studies of Danshen-Chuanxiong herb pair in rat plasma and brain using liquid chromatography-tandem mass spectrometry

Danshen-Chuanxiong (DS-CX) was a classic herb pair commonly used to treat ischemic stroke. Nevertheless, the metabolic conversion and pharmacokinetic behavior of DS-CX in vivo remains unclear. This work aimed to reveal the in vivo metabolic behavior of DS-CX through establishing metabolic profiles and performing multicomponent pharmacokinetics analysis. The mass defect filtering (MDF) strategy integrated with UHPLC-QTOF-MS was firstly developed to characterize the metabolites of DS-CX in rats’ plasma and brain. Moreover, a sensitive UHPLC-QQQ-MS method was utilized to perform the comparative pharmacokinetic studies of major active ingredients of DS-CX in rats’ plasma. A total of 111 exogenous compounds (29 prototype compounds and 82 metabolites) were identified in rat biological samples. The major metabolic pathways were hydroxylation, methylation, deoxidation, dehydration, hydrogenation, demethylation, hydrolysis, decarboxylation and glucuronidation binding reactions. According to the results of metabolites profiling, sixteen active compounds (8 phenolic acids, 5 phthalides and 3 tanshinones) were selected as markers for further comparative pharmacokinetics study. Compared with the oral administration of DS or CX alone, the higher Cmax of salvianolic acid B, crytotanshinone and tanshinone IIA; the shorter Tmax of lithospermic acid, rosmarinic acid and tanshinone IIA; as well as the higher AUC0−∞ of ferulic acid, rosmarinic acid, salvianolic acid B, senkyunolide I and crytotanshinone, could be found after co-administration of DS-CX (P < 0.05). This study provided the overall knowledge of metabolites profiling of DS-CX in vivo, which would help to understand the effective material basis and promote the clinical application of DC-CX herb pair.

Improving Parent-Adolescent Conversation to Promote Adolescent Sleep Health Behavior Change: An Open Trial of the Parent Behavior Change Intervention (PBC-I)

The Parent Behavior Change Intervention (PBC-I) was developed to target parent-adolescent conversations that promote adolescent health behavior change. We report on an open trial of the PBC-I. Participants were 36 parent-adolescent dyads. Adolescents received the Transdiagnostic Sleep and Circadian Intervention (TranS-C) as parents received the PBC-I. Dyads were assessed at pre- and post-intervention for parent use of behavior change techniques (BCT) and positive and negative conversational behaviors, parent-adolescent conflict, adolescent motivation for change, and adolescent sleep outcomes. From pre to post, parents used fewer total and types of BCTs, more positive communication behaviors, and less negative communication behaviors when discussing a sleep-related hot topic. From pre to post, parents reported decreased coercion and less anger intensity while adolescents reported fewer parental conflict behaviors and less quantity and anger intensity during parent-adolescent disagreement. There was a pre-to-post increase in interest/enjoyment of sleep and a decrease in effort/importance to participate in TranS-C. More positive and less negative communication was associated with select adolescent sleep outcomes. Parents rated the PBC-I as highly acceptable and perceived it as useful. These results provide preliminary evidence supporting the PBC-I improving the parent-adolescent interpersonal process, which is linked to improved adolescent sleep. The results may be relevant to conversations parents have with adolescents about a range of health behavior change.

Supporting the Conversational Behavior of Adolescents with Autism Spectrum Disorders with Self-Monitoring and a Video-Based Supplement.

Individuals with autism spectrum disorders (ASD) might demonstrate impairments in initiating and sustaining a conversation and experience conversational challenges such as question-asking and turn-taking. Conversational skills are pivotal for the social functioning of adolescents with ASD. The current investigation aimed to extend the available information on interventions addressing the conversational needs of adolescents with ASD. The research questions were: (a) What is the effect of self-monitoring, supplemented by a video-based model on the conversational skills of adolescent students with ASD? and (b) What is the acceptability of the intervention among the participating adolescents with ASD?. Appropriate conversational behavior of three students with ASD (aged 16-18 years) was assessed using a withdrawal design, during 10-min conversation sessions. Appropriate conversational behavior was defined as a sequence of a turn-taking response (i.e., waiting quietly until the speaker finished talking), followed by a verbal utterance which included (a) making a statement or responding on topic, and/or (b) asking a contextually appropriate "wh"- question. The independent variable consisted of a primary self-monitoring procedure and a daily video-based supplement. Treatment fidelity and treatment acceptability were also assessed. The conversational behavior of all participants consistently improved under the self-monitoring intervention with the video-based supplement. Self-monitoring with a video-based supplement can effectively support the conversational behavior in adolescents with ASD. This information can guide the evaluation and planning of appropriate interventions designed to improve limited conversational behaviors of adolescents with ASD.

Exploratory investigation on conversion behaviors and coking tendency during coal-based asphaltene hydrogenation processes

ABSTRACT Coking is an urgent problem to be solved in direct coal liquefaction（DCL）industry, and coal-based asphaltene is considered as the main source of coking. Therefore，in this manuscript, the effects of solvent/asphaltene ratio, temperature and hydrogen pressure on conversion behaviors of asphaltene were investigated, and coking propensity of asphaltene in relatively high temperature and hydrogen-deficient systems was focused. The results show that in the hydrogen-deficient system, temperature significantly affects asphaltene conversion and coke yield, which reaches 82.91% and 6.31% at 470°C. And moreover, with hydrogen pressure increases from 2MPa to 4MPa, oil yield increases from 65.28% to 71.16% while coke yield decreases significantly from 8.85% to 2.90%, which indicates that relatively increase hydrogen pressure can effectively stabilize the free radicals to produce oil and restrict the generation of coke at 470°C. With increasing temperature or decreasing hydrogen pressure, H/C atom ratio of hydrogenated asphaltene decreases to 0.54–0.82 at the temperatures of 430–470°C and 0.45–0.66 at hydrogen pressures of 2.0–6.0MPa, while the H/C atom ratio of asphaltene is 1.02. Besides, methyl and methylene carbons are easily cleaved, and protonated aromatic carbons are converted to bridgehead aromatic carbons during hydrogenation process, which increases the aromaticity of asphaltene from 61.43% to 83.90% at 470°C.

Metacommunication Versus Conversational Practices of Teaching Personnel at a Constituent Campus of a Southern Tagalog State University, the Philippines: A Study on Manifestation and Their Relationship

This study examines the intricacies of metacommunication and conversational practices of an incidental sample of 106 teaching personnel engaged in remote teaching at a constituent campus of a Southern Tagalog state university, the Philippines. The primary objective of this study is to measure the extent to which teaching personnel manifest metacommunication across different forms of communication, including verbal, non-verbal, and written expressions, and how they exhibit conversational behaviors during pedagogic interactions. These behaviors encompass openness, empathy, positivity, immediacy, interaction management, and expressiveness. The research also endeavors to test if a significant relationship exists between metacommunication and these conversational practices. Employing a correlational research design, a survey questionnaire, and utilizing statistical tools such as mean, standard deviation, and Pearson r to analyze the quantitative data collected, the findings reveal heightened levels of metacommunication and a prevalent presence of conversational practices among educators in the higher education context. Furthermore, the research identifies a correlation between metacommunication and conversational practices. In light of these findings, it is recommended that educators proactively nurture a positive and professional classroom environment while considering individualized student assessments. This approach can foster more constructive pedagogic interactions within the higher education teaching community while enhancing the learning experience for both educators and students. The study also emphasizes the vital link between metacommunication and conversational practices in education while illustrating its impact on communication quality, learning experiences, and societal dialogue for enhanced empathy and positivity for broader societal benefits.

Unraveling the impact of pore length on the conversion reaction of Fe3O4/carbon anodes in lithium-ion batteries

Despite numerous studies investigating Fe3O4/porous carbon anode materials for high-performance lithium-ion batteries (LIBs), the inherent limitations of the Fe3O4 conversion reaction, such as low reversibility and sluggish kinetics, continue to pose significant challenges. While modifying the porous structure of Fe3O4 anodes has demonstrated considerable promise in overcoming these limitations, the precise relationship between the porous structure and Fe3O4 conversion behavior still remains unclear. Here, we explore the impact of the pore length of the anode active material on the electrochemical performance of LIBs. Using two different composites of Fe3O4 and porous carbon with varying pore lengths as model materials, we conduct various in-depth electrochemical and ex-situ analyses. Our findings confirm that a shorter pore length facilitates higher Li+ ion diffusivity compared to longer pore length. Consequently, the conversion reaction of Fe3O4 to Fe and Li2O during lithiation process can be expedited, leading to a decrease in the resistance at the solid electrolyte interphase. As a result, we demonstrate that shortening the pore length of the porous anode composite materials can enhance the initial Coulombic efficiency (CE), reversible capacity, and rate capability of LIBs.

Behavioral Intervention for Adults With Autism on Distribution of Attention in Triadic Conversations: A/B-Tested Pre-Post Study.

Cross-neurotype differences in social communication patterns contribute to high unemployment rates among adults with autism. Adults with autism can be unsuccessful in job searches or terminated from employment due to mismatches between their social attention behaviors and society's expectations on workplace communication. We propose a behavioral intervention concerning distribution of attention in triadic (three-way) conversations. Specifically, the objective is to determine whether providing personalized feedback to each individual with autism based on an analysis of their attention distribution behavior during an initial conversation session would cause them to modify their orientation behavior in a subsequent conversation session. Our system uses an unobtrusive head orientation estimation model to track the focus of attention of each individual. Head orientation sequences from a conversation session are analyzed based on five statistical domains (eg, maximum exclusion duration and average contact duration) representing different types of attention distribution behavior. An intervention is provided to a participant if they exceeded the nonautistic average for that behavior by at least 2 SDs. The intervention uses data analysis and video modeling along with a constructive discussion about the targeted behaviors. Twenty-four individuals with autism with no intellectual disabilities participated in the study. The participants were divided into test and control groups of 12 participants each. Based on their attention distribution behavior in the initial conversation session, 11 of the 12 participants in the test group received an intervention in at least one domain. Of the 11 participants who received the intervention, 10 showed improvement in at least one domain on which they received feedback. Independent t tests for larger test groups (df>15) confirmed that the group improvements are statistically significant compared with the corresponding controls (P<.05). Crawford-Howell t tests confirmed that 78% of the interventions resulted in significant improvements when compared individually against corresponding controls (P<.05). Additional t tests comparing the first conversation sessions of the test and control groups and comparing the first and second conversation sessions of the control group resulted in nonsignificant differences, pointing to the intervention being the main effect behind the behavioral changes displayed by the test group, as opposed to confounding effects or group differences. Our proposed behavioral intervention offers a useful framework for practicing social attention behavior in multiparty conversations that are common in social and professional settings.

Investigation on thermochemical heat charging and discharging behavior of Ca(OH)2/CaO in a fixed bed reactor

Thermochemical heat storage (TCHS) technology plays a crucial role in the energy system, essential for maintaining the balance between energy supply and demand. The Ca(OH)2/CaO system holds significant promise for TCHS thanks to its high energy storage density, cost-effectiveness, and minimal heat loss. However, further research is required to elucidate the coupling mechanisms of the various physicochemical processes involved and to optimize the overall system performance. This paper focuses on assessing and elucidating the multi-physics coupled transport rules during both the charging and discharging stages in a fixed-bed reactor based on the developed numerical model. Results manifest the bed temperature rapidly increases to around 950 K, then slows down as the endothermic reaction predominates, completing dehydration in 1,900 s. During discharging, hydration conversion advances in a “U”-shaped pattern from the vapor inlet and side wall to the outlet, driven by the high vapor content near the inlet and the lower temperature near the wall. Furthermore, a thorough sensitivity analysis of the main parameters such as thermal conductivity and porosity is conducted to determine how different operating conditions affect the charging and discharging processes. Finally, a new reactor structure is proposed, in which a gas-guide duct is added at the central axis of the reactor to improve mass transport and uniformly distributed finned heating tube bundles to enhance heat transfer. These two functions can shorten the charging period by 9 % and 16 % respectively. The results can aid in predicting thermochemical conversion behaviors and multi-physic coupling transport processes, while also providing a foundational reference for the design of TCHS systems.

Model and performance analysis of energy conversion in functionally graded flexoelectric semiconductor nanostructures

Energy systems converting efficiently from surrounding environment for powering semiconductor electronic components at nanoscale has attracted intense research interests. Due to the strong size dependency, flexoelectricity has been demonstrated as an excellent candidate implemented as nanoscale piezoelectric semiconductor energy harvesters. In this work, through a judicious exploitation of structural symmetry and nonuniformity, we theoretically study the energy conversion behaviors of a novel asymmetric nanodisk model composed of functionally graded (FG) flexoelectric semiconductor (FS) (FG-FS) materials while being loaded with thickness-extensional mechanical vibration. In numerical analysis, the material parameters have been treated with a general variation method under the Cartesian coordinate systems for simplicity. Taking into accounts of the nonuniform structural form and multi-field coupling features, we derived an octic governing equation with variable coefficients for the current analyzed FG-FS nanodisk structure, which is, however, almost impossible to obtain analytical solutions. To successfully address this issue and also further explore the improved performance and new phenomena induced by the FG type of non-uniform structural profile, we specially proposed an efficient tensor algorithm and reduced the octic governing equation into one quartic equation with variable coefficients and other four common quadratic equations. Later, we explicitly explored the effect of each physical parameter on the energy conversion performance of the FS energy harvester by studying the variations of the output electric power density and the energy conversion efficiency. Results illustrated that the electromechanical energy conversion behaviors of the studied FG-FS nanodisk can be properly tuned by not only the related material parameters but also their gradations. We believe our work have the potential to pave new way for the designs and manufacture of novel nano-electronic semiconductor components for the future practical applications.

A hybrid simulation approach to predicting noise in restaurants

High levels of noise are a well-known source of occupant discomfort in dining environments, and noise ranks highly among the most common customer complaints in restaurant reviews. Prior work has focused on measuring existing restaurant soundscapes and attempting to predict acoustic performance; however, current techniques are still limited in accuracy for restaurants with time-varying occupancy and complex layouts. This presentation demonstrates a novel approach to predicting ambient noise in restaurants via a hybrid simulation framework. Acoustical computations for a given restaurant space are performed in a room acoustics model, while a discrete event simulation (DES) model is used to simulate the arrival patterns of patrons and their conversational behaviors. Predictions from the room acoustics model inform the DES model, allowing for noise level predictions at each seat position. Results from the prediction model are validated against measurements in a case study restaurant. Further development of this framework may support the practical assessment of design interventions in any restaurant while also accounting for time-varying patterns of occupancy.

Bismuth: An Epitaxy-like Conversion Mechanism Enabled by Intercalation-Conversion Chemistry for Stable Aqueous Chloride-Ion Storage.

The exploitation of new anion battery systems based on high-abundance oceanic elements (e.g., F-, Cl-, and Br-) is a strong supplement to the current metal cation (e.g., Li+, Na+) battery technologies. Bismuth (Bi), the rare anion-specific anode species nearest to practical application for chloride ion storage, is plagued by volume expansion and structure collapse due to limited control of its conversion behavior. Here, we reveal that a unique epitaxy-like conversion mechanism in the monocrystalline Bi nanospheres (R3m group) can drastically inhibit grain pulverization and capacity fading, which is enabled by Cl- intercalation in their interlayer space. The Bi nanosphere anode can self-evolve and transform into a rigid BiOCl nanosheet-interlaced structure after the initial conversion reaction. With this epitaxy-like conversion mechanism, the Bi anode exhibits a record-high capacity of 249 mAh g-1 (∼1.2 mAh cm-2) at 0.25 C and sustains more than 1400 h with 20% capacity loss. Pairing this anode with a Prussian blue cathode, the full battery can deliver an ultrahigh desalination capacity of 127.1 m gCl gBi-1. Our study milestones the understanding of conversion-type anode structures, which is an essential step toward the commercialization of aqueous batteries.

Modification of CdZnS nanoparticles on nanoporous FeVO4 photoanode to improve photoelectrochemical performance

Photoelectrochemical (PEC) performance of semiconductor photoanode can be significantly improved by regulating the energy band alignment to promote carrier separation. This study demonstrates the first application of CdZnS (CZS) nanoparticles to modify FeVO4 (FVO) nanostructure phoyoanode for PEC water splitting. The constructed FVO/CZS photoanode exhibits significantly enhanced PEC performance with a zero-bias solar-driven photocurrent density of 1.00 mA/cm2, which is 11 times and 4.5 times that of unmodified FVO and CZS, respectively. The Tests of the optical absorption and electrochemical spectroscopy demonstrate that the modification of CZS nanoparticles not only improves the light harvesting ability of the FVO/CZS heterojunction nanostructures in the wavelength of 300–500 nm but also establishes a type II band alignment between the interface of FVO and CZS that is conducive to the transport and separation of the charge carriers and prolongs charge lifetime. Consequently, synergistic actions of the improved light harvesting capacity, effective charge transport and separation and the prolonged carrier lifespan enable the designed and fabricated FVO/CZS heterojunction photoanode to get substantially augmented PEC water splitting performance. This work supplies an innovative guidance for designing FVO-based photoanodes to improve photoelectric conversion behavior from the perspective of interface engineering.

Multifunctional SnO2 QDs/MXene Heterostructures as Laminar Interlayers for Improved Polysulfide Conversion and Lithium Plating Behavior

HighlightsThe interfacing between SnO2 and MXene alters electronic structures, shifting the d-band center in transition metals, enhancing catalytic efficiency by reducing electron filling in antibonding orbitals.A binder-free, ultrathin, laminar heterostructured interlayer on polypropylene separator is demonstrated. The ionic sieving mechanism and efficient adsorption–catalysis process enable deeper charge/discharge cycle and improved stability.The improved catalytic conversion and suppressed lithium dendrites formation enable a high loading of 7.5 mg cm−2 and an initial area capacity of 7.6 mAh cm−2.

Multiple isoforms of the Activin-like receptor baboon differentially regulate proliferation and conversion behaviors of neuroblasts and neuroepithelial cells in the Drosophila larval brain.

In Drosophila coordinated proliferation of two neural stem cells, neuroblasts (NB) and neuroepithelial (NE) cells, is pivotal for proper larval brain growth that ultimately determines the final size and performance of an adult brain. The larval brain growth displays two phases based on behaviors of NB and NEs: the first one in early larval stages, influenced by nutritional status and the second one in the last larval stage, promoted by ecdysone signaling after critical weight checkpoint. Mutations of the baboon (babo) gene that produces three isoforms (BaboA-C), all acting as type-I receptors of Activin-type transforming growth factor β (TGF-β) signaling, cause a small brain phenotype due to severely reduced proliferation of the neural stem cells. In this study we show that loss of babo function severely affects proliferation of NBs and NEs as well as conversion of NEs from both phases. By analyzing babo-null and newly generated isoform-specific mutants by CRISPR mutagenesis as well as isoform-specific RNAi knockdowns in a cell- and stage-specific manner, our data support differential contributions of the isoforms for these cellular events with BaboA playing the major role. Stage-specific expression of EcR-B1 in the brain is also regulated primarily by BaboA along with function of the other isoforms. Blocking EcR function in both neural stem cells results in a small brain phenotype that is more severe than baboA-knockdown alone. In summary, our study proposes that the Babo-mediated signaling promotes proper behaviors of the neural stem cells in both phases and achieves this by acting upstream of EcR-B1 expression in the second phase.

Synthesis of glucose‐derived MAX phases and investigation on the phase evolution behavior

AbstractThe family of MAX phases and their two‐dimensional derivative MXenes attract significant attention due to their unparalleled properties. Synthesis of MAX phases and MXene from biomass sources is important to expand their biology‐related applications, while it remains a challenge. The present work explores the possibility to synthesize MAX phases and subsequently derive MXenes by using biomass precursor. Ti3AlC2 MAX phase was synthesized by using glucose as the carbon source in molten salt. The conversion behavior from glucose to Ti3AlC2 was investigated, and the conversion rate of carbon from glucose reached to 70.4% by optimizing the reaction conditions. The as‐obtained Ti3AlC2 can be derived into Ti3C2Tx MXene and MXene quantum dots by common chemical treatments, which provides possibility for biomass‐derived nanolaminates applying in biological applications such as biological catalysis, bioinstrumentation, and biological tracking.

Comparative analysis of energy, exergy, emission, and sustainability aspects of third generation microalgae biodiesels in a diesel engine

Third-generation biodiesel produced from various microalgae species is being researched for its production, conversion, compatibility, sustainability, and environment-friendly behaviour for the diesel engine as a replacement of conventional diesel fuel. The present work is conducted with the objective of analysing a clean, green, and sustainable microalgae biodiesel for energy, exergy, emission, and sustainability assessment in a diesel engine system, along with the evaluation of air quality in terms of emission analysis for assessing its impact on climate. The fuel samples from diesel and the three microalgae species, viz., Chlorella emersonii, Euglena sanguinea, and Spirulina, are designated as DF100, CE100, ES100, and SP100, respectively. The engine behaviour is assessed and compared at 1500 rpm under 17.5 compression ratio with 25–100 % engine load. DF100 achieves the maximum energy and energy efficiency of 32.76 % and 30.74 %, respectively, and a varied range of 27.32–30.37 % and 25.28–28.10 % with microalgae biodiesels. The air quality is improved with the reduction of PM emissions by 15.82–27.09 % at the cost of improved nitrogen oxide (NOx) emissions by 11.03–15.55 %. The sustainability index is highest for DF100 (1.247–1.444), and among biodiesel fuel samples, it is highest for SP100 (1.233–1.391) at all engine loads. These results point to the possibility of microalgae-derived biodiesel blends as feasible diesel fuel substitutes, providing environmentally friendly and effective solutions for internal combustion engines.

Bringing together multimodal and multilevel approaches to study the emergence of social bonds between children and improve social AI.

This protocol paper outlines an innovative multimodal and multilevel approach to studying the emergence and evolution of how children build social bonds with their peers, and its potential application to improving social artificial intelligence (AI). We detail a unique hyperscanning experimental framework utilizing functional near-infrared spectroscopy (fNIRS) to observe inter-brain synchrony in child dyads during collaborative tasks and social interactions. Our proposed longitudinal study spans middle childhood, aiming to capture the dynamic development of social connections and cognitive engagement in naturalistic settings. To do so we bring together four kinds of data: the multimodal conversational behaviors that dyads of children engage in, evidence of their state of interpersonal rapport, collaborative performance on educational tasks, and inter-brain synchrony. Preliminary pilot data provide foundational support for our approach, indicating promising directions for identifying neural patterns associated with productive social interactions. The planned research will explore the neural correlates of social bond formation, informing the creation of a virtual peer learning partner in the field of Social Neuroergonomics. This protocol promises significant contributions to understanding the neural basis of social connectivity in children, while also offering a blueprint for designing empathetic and effective social AI tools, particularly for educational contexts.