Processing Advantages Research Articles

How eccentricity modulates attention capture by direct face/gaze and sudden onset motion

Abstract We investigated how processing benefits for direct face/gaze and sudden onset motion depend on stimulus presentation location, specifically eccentricity from fixation. Participants responded to targets that were presented on one of four stimuli that displayed a direct or averted face and gaze either statically or suddenly. Between participants, stimuli were presented at different eccentricities relative to central fixation, spanning 3.3°, 4.3°, 5.5° or 6.5° of the visual field. Replicating previous studies, we found processing advantages for direct (vs. averted) face/gaze and motion onset (vs. static stimuli). Critically, while the motion-onset advantage increased with increasing distance to the center, the face/gaze direction advantage was not significantly modulated by target eccentricity. Results from a control experiment with eye tracking indicate that face/gaze direction could be accurately discriminated even at the largest eccentricity. These findings demonstrate a distinction between the processing of basic facial and gaze signals and exogenous motion cues, which may be based on functional differences between central and peripheral retinal regions. Moreover, the results highlight the importance of taking specific stimulus properties into account when studying perception and attention in the periphery.

Beyond the neural underpinnings of action emulation in expert athletes: an EEG study.

Athletes specializing in sports demanding rapid predictions and hand-eye coordination are highly trained in predicting the consequences of motor commands. This can be framed as highly efficient action emulation, but the neural underpinnings of this remain elusive. We examined the neural processes linked to the training effect of athletes (4,000 hours of training) by employing a continuous pursuit tracking task and EEG data. We manipulated feedback availability by intermittently occluding the cursor. As a performance measure, we used the distance between cursor and target (position error), the angle between the cursor and target movement direction (direction error) and the magnitude of cursor acceleration (acceleration error) to quantify movement strategy. In EEG data, we investigated beta, alpha, and theta frequency band oscillations. Athletes' position error is lower than non-athletes' when there is no feedback about the cursor location, but direction error is not. We found no quantitative power differences in the investigated frequency bands, but evidence that athletes and non-athletes accomplish action emulation through different functional neuroanatomical structures, especially when alpha and beta band activity is concerned. We surmise that non-athletes seemed to rely on top-down inhibitory control to predict guesses on cursor trajectories in the absence of cursor position feedback. In contrast, athletes might benefit from enhanced inhibitory gating mechanisms in the ventral stream and the integration of sensory and motor processes in the insular cortex, which could provide them with processing advantages in computing forward models. We further reflect that this advantage might be supported by alpha band activity in athletes' motor cortex, suggesting less inhibitory gating and a higher likelihood of executing integrated sensorimotor programs. We posit that current framings of neuroanatomical structures and neurophysiological processes in the action emulation framework must be revised to better capture superior motor performance.

IMPLEMENTASI BIG DATA ANALYTICS DALAM KLASIFIKASI KUALITAS UDARA MENGGUNAKAN ALGORITMA GRADIENT-BOOSTED TREE CLASSIFIER PADA PYSPARK

This study aims to classify air quality based on PM1.0, PM2.5, and PM10 parameters using a Big Data Analytics approach with the Gradient-Boosted Tree Classifier (GBT) algorithm implemented on the PySpark framework. The dataset used was downloaded from OpenAQ, covering the period from April 14, 2021, to April 16, 2023, with a total of 1,048,154 entries, representing a large and complex volume of data. The research process includes data preprocessing to address data imbalance, dataset splitting for training and testing, and hyperparameter tuning using grid search and cross-validation to optimize model performance. By leveraging PySpark’s advantage in parallel processing of large data, the GBT model achieved an accuracy of 98.87%, precision of 99.00%, recall of 98.87%, and an F1-Score of 98.90%. This study demonstrates how Big Data Analytics can enhance efficiency and accuracy in air quality classification, contributing significantly to the development of real-time monitoring systems that support air pollution mitigation and data-driven policy-making.

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.

Variations in the End-Use Quality of Whole Grain Flour Are Closely Related to the Metabolites in the Grains of Pigmented Wheat (Triticum aestivum L.).

Whole grain flour is considered a part of a healthy diet, especially when produced with pigmented wheat (Triticum aestivum). However, the specific metabolic pathways and mechanisms by which these metabolites affect the end-use quality of pigmented wheat varieties still need to be better understood. This study examined the relationship between metabolite concentrations and the end-use quality of three wheat varieties: common wheat (CW, JM20), black wheat (BW, HJ1), and green wheat (GW, HZ148). The study's findings revealed significant differences in the accumulation of metabolic substances among the various pigmented wheat varieties. Specifically, BW and GW exhibited notably higher levels of amino acids, derivatives, and lipids than CW. The study's findings revealed significant differences in the accumulation of metabolic substances among the various pigmented wheat varieties. Specifically, BW and GW exhibited notably higher levels of amino acids and their derivatives and lipids than CW. Amino acid derivatives, such as glutathione and creatine, are compounds formed through chemical modifications of amino acids and play crucial roles in antioxidative defense and energy metabolism. The gliadin and glutenin content of BW increased by 12% and 2%, respectively, compared to CW, due to elevated levels of amino acids and their derivatives, whereas GW was notable for its higher globulin content (an increase of 11.6%). BW was also distinguished by its exceptionally high anthocyanin content, including cyanidin-3-O-(6-O-malonyl-beta-D-glucoside) (23.2 μg g-1), cyanidin-3-O-glucoside (6.5 μg g-1), and peonidin-3-O-glucoside (2.3 μg g-1), which surpassed the levels found in both CW and GW (which approached zero). However, BW had lower gluten content, resulting in a greater weakening and reduced development and stability times. Conversely, GW exhibited an increased lipid metabolism, which was associated with a higher starch and gluten content, improving the maximum tensile resistance. Overall, the pigmented wheat varieties offer superior nutritional profiles and processing advantages, necessitating further research to optimize their commercial use.

The Influence of Input Frequency and L2 Proficiency on the Representation of Collocations for Chinese EFL Learners.

Collocations typically refer to habitual word combinations, which not only occur in texts but also constitute an essential component of the mental lexicon. This study focuses on the mental lexicon of Chinese learners of English as a foreign language (EFL), investigating the representation of collocations and the influence of input frequency and L2 proficiency by employing a phrasal decision task. The findings reveal the following: (1) Collocations elicited faster response times and higher accuracy rates than non-collocations. (2) Higher input frequency improved the accuracy of judgments. High-proficiency Chinese EFL learners exhibit better accuracy and faster response times in collocation judgment tests. Additionally, input frequency and L2 proficiency interactively affected both response time and accuracy rate. These results indicate that L2 learners have a processing advantage for collocations, which function as independent entries in the mental lexicon. Both input frequency and L2 proficiency are crucial factors in collocational representation, with increased input frequency and proficiency shifting the representation from analytic retrieval toward holistic recognition in a continuum pattern.

Revisiting the persulfate activation performance of seaweed derivied biochars: The composition and origin of pollutant degradation activity

A steady increase in seaweed production necessitates effective strategies to manage its post-production waste and its assosicated CO2 emission. Biochar formation stand out as a promising option, offering significant advantage for persulfate-activated water remediation processes. Herein, we investigated and compared the performance of two seaweed-derived biochars, focusing on their physical characteristics, heteroatoms, and chemical composition in activating persulfate (PS). Although, both seaweeds (Capsosiphon fulvescens (CF) and Undaria pinnatifida (SW)) that studied are edible, they exhibit unique catalytic behavior in the degradation of simazine (SMZ). The differences in simazine degradation activity observed in these biochars were primarily attributed to the description of metal active sites rather than the complex composition and specific surface area of the biochars. The identification of these active sites was achieved through various physical characterization tools (XRD, XPS, BET) and by examining the adsorption models and degradation patterns of simazine under different conditions. Our results demonstrate that the biochar derived from CF (100% removal) seaweed having metal active centres is more catalytic than SW (58.4% removal) derived biochar. ROS quantification and electrochemical studies suggest that simazine degradation occurs through different mechanisms in these biochars. Therefore, the CF-derived biochar catalytic system was optimized for simazine oxidation, with studies focusing on its degradation pathway, intermediate toxicity, and catalytic stability. This comprehensive study outlines the significance of selection of seaweed biomass for optimal activity in the persulfate-based oxidative system.

A Novel Polarity Correction Method for Waveform Stacking Location of Microseismic Events

Microseismic events play a crucial role in mapping fault and fracture distributions in natural and induced earthquakes. Detecting and localizing microseismic events is challenging due to low signal-to-noise ratios (SNR). Waveform stacking (WS) imaging location is a practical approach for automatically detecting and localizing microseismic events, assuming that the traveltime-corrected seismic waveforms will stack and enhance coherently. However, coherent stack enhancement is susceptible to polarity reversal caused by the non-explosive components of the source mechanism, which can lead to an unfocused source image, making it difficult to retrieve the optimal location accurately. In this study, we propose a new polarity correction method to address this issue, based on the characteristic that the instantaneous phase difference between two seismic signals with opposite polarity is ±p. First, the Hilbert transform is applied to the original seismic record to obtain instantaneous amplitude A(t) and phase f(t). Then, a new signal is constructed by multiplying A(t) with cos[2f(t)]. The constructed signals for different receivers have the same polarity, thereby being used to refocus the source image. Furthermore, they preserve both positive and negative amplitudes, which contributes to noise suppression. Synthetic tests show that the proposed method can effectively achieve polarity correction and noise suppression, enabling a high-resolution source image. Application to real hydraulic fracturing data demonstrates that the proposed method can detect and locate more microseismic events at the fracturing depths, suggesting its effectiveness and potential advantage in microseismic data processing. Since the polarity correction is performed in the data domain without relying on specific receiver layouts, the method is computationally efficient and could be applied to real-time microseismic monitoring across various sites, including hydraulic fracturing and volcano monitoring.

Experimental investigation on enhanced ablation of silicon with the combined pulse laser

The combined pulse laser (CPL) based on long-pulsed lasers has been proven to be an effective way of improving laser processing efficiency by combining their processing advantages. In this Letter, a CPL with a 500 mJ millisecond pulse and a 150 mJ nanosecond pulse is utilized to study the interaction process between laser and silicon. Based on high-speed images of plasma distribution and laser supported detonation wave (LSDW), as well as the height characteristics of ablation morphology, the energy coupling of plasma with variable delay time is analyzed. The irradiation of the material by millisecond pulse within the delay time enhances the strong coupling process between nanosecond pulse and the target.

The Sustainable Innovation Impact of AI and Immersive Technology in Information System Management on Education Development

Abstract This paper describes the development of artificial intelligence and immersive technology in the field of education. The background of the research was introduced, including the analysis of its application in education from relevant international and domestic research. There are also application status, such as the data processing advantages of AI in education and the role of the squirrel Ai large model, as well as the pilot application of immersive technology in some fields and the improvement of the management of educational information systems. Then, the data generated by the integration of the two in the educational information system and the use of analysis are explained. It also highlights the sustainable innovations that this integration brings, such as optimizing resource allocation, improving educational effectiveness, reducing costs, and promoting educational equity. At the same time, it pointed out the challenges faced by technology convergence and proposed countermeasures to address these challenges.

Edible Coatings for Fish Preservation: Literature Data on Storage Temperature, Product Requirements, Antioxidant Activity, and Coating Performance-A Review.

Fresh fish is among the most nutritive foodstuffs, but it is also the most perishable one. Therefore, huge efforts have been made to find the most suitable tools to deliver fish of the highest quality to exigent consumers. Scientific studies help the industry to exploit the newest findings to scale up emerging industrial technologies. In this review article, the focus is on the latest scientific findings on edible films used for fish coatings and storage. Since today's packaging processing and economy are governed by sustainability, naturality underpins packaging science. The synthesis of edible coatings, their components, processing advantages, and disadvantages are outlined with respect to the preservation requirements for sensitive fish. The requirements of coating properties are underlined for specific scenarios distinguishing cold and freezing conditions. This review raises the importance of antioxidants and their role in fish storage and preservation. A summary of their impact on physical, chemical, microbiological, and sensory alterations upon application in real fish is given. Studies on their influence on product stability, including pro-oxidant activity and the prevention of the autolysis of fish muscle, are given. Examples of lipid oxidation and its inhibition by the antioxidants embedded in edible coatings are given together with the relationship to the development of off-odors and other unwanted impacts. This review selects the most significant and valuable work performed in the past decade in the field of edible coatings whose development is on the global rise and adheres to food waste and sustainable development goals 2 (zero hunger), 3 (good health and well-being), and 12 (responsible consumption and production).

Machine learning for structure-guided materials and process design

In recent years, there has been a growing interest in accelerated materials innovation in the context of the process-structure-property chain. In this regard, it is essential to take into account manufacturing processes and tailor materials design approaches to support downstream process design approaches. As a major step into this direction, we present a holistic and generic optimization approach that covers the entire process-structure-property chain in materials engineering. Our approach specifically employs machine learning to address two critical identification problems: a materials design problem, which involves identifying near-optimal material microstructures that exhibit desired properties, and a process design problem that is to find an optimal processing path to manufacture these microstructures. Both identification problems are typically ill-posed, which presents a significant challenge for solution approaches. However, the non-unique nature of these problems offers an important advantage for processing: By having several target microstructures that perform similarly well, processes can be efficiently guided towards manufacturing the best reachable microstructure. The functionality of the approach is demonstrated at manufacturing crystallographic textures with desired properties in a simulated metal forming process.

Is there a multilingual advantage in gender agreement processing? Evidence from self-paced reading

ABSTRACT Do learners who have mastered two gender systems prior to learning a third have an advantage in gender processing over those who have mastered only one gender system? To address this question, we recruited two groups of adult Polish learners of L3/Ln Swedish with and without prior knowledge of German. They completed a self-paced reading task in Swedish that involved two types of gender marking: the indefinite article, which is realised similarly in Swedish and German, and the definite suffix, which is uniquely present in Swedish. We found that while both groups were sensitive to gender agreement violations involving the indefinite article, only learners with knowledge of German showed sensitivity to gender agreement violations involving the definite suffix. Therefore, knowledge of non-native German conferred an advantage for the processing of dissimilar rather than similar gender marking. We interpret these findings in light of morphological transfer from German that consists in the employment of the existing morphemes and assigning them new grammatical functions. More broadly, the study indicates that the gender system in a non-native language rather than the native language, might be more helpful for the acquisition of a new type of gender marking in L3/Ln.

Understanding strategic planning: an assessment of the definitions, planning process and competitive advantage

PurposeThe study provides an understanding of strategic planning through an assessment of its definitions, the planning process, and spells-out the outcomes as well as the associated competitive advantage from practicing strategic planning. Despite the popularity of strategic planning as a management tool, it is argued that its practice is one that is least understood.Design/methodology/approachA review of strategic planning was conducted. The definitions identified were drawn from definitions derived from the top 10 publications with the highest citations from each of the two decades between 2001 to 2020 following a systematic Scopus search of publications with “strategic planning” in their title, and other publications identified through a Google Scholar search on “strategic planning”. The most unique or differentiated definitions were identified and assessed. The identified publications were also analyzed using content analysis to gain insight from their research findings as it relates to strategic planning in general, the planning process and respective competitive advantage.FindingsThe review established that there are various definitions of strategic planning, however, they are largely aligned as it relates to the formulation of strategy, the widest difference in the definitions is in the scope of the implementation activities.Originality/valueThe review contributes to the body of knowledge by providing (i) an understanding of strategic planning; (ii) an assessment of the definitions of strategic planning; (iii) a proposed definition of strategic planning; (iv) provision of a theoretical framework to understand the practice of strategic planning; and (v) the positioning of strategic risk management in enabling strategic planning.

Tuning Molten-Salt-Mediated Calcination in Promoting Single-Crystal Synthesis of Ni-Rich LiNixMnyCozO2 Cathode Materials

High Ni-content LiNixMnyCozO2 (NMC) cathodes (with x ≥ 0.8, x + y + z = 1) have gained attention recently for their high energy density in electric vehicle (EV) Li-ion batteries. However, Ni-rich cathodes pose challenges in capacity retention due to inherent structural and surface redox instabilities. One promising strategy is to make the Ni-rich NMC material in the form of single-crystal micron-sized particles, as they resist intergranular and surface degradation during cycling. Among various methods to synthesize single-crystal NMC (SC-NMC) particles, molten-salt-assisted calcination offers distinct processing advantages but at present, is not yet optimized or mechanistically clarified to yield the desired control over crystal growth and morphology. In this project, molten-salt-mediated transformation of Ni0.85Mn0.05Co0.15(OH)2 precursor (P-NMC) particles to LiNi0.85Mn0.05Co0.15O2 particles is investigated in terms of the crystal growth mechanism and its electrochemical response. Unlike previous studies that involved large volumes of molten salt, using a smaller volume of molten KCl is found to result in larger primary particles with improved cycling performance achieved via partial reactive dissolution and heterogeneous nucleation growth, suggesting that the ratio of molten salt volume to NMC mass is an important parameter in the synthesis of single-crystal Ni-rich NMC materials.

Analysis of Gender and Mental Health Differences

With the rapid development of modern civilization, the increasing pressures of contemporary life, the fast pace of living, and the influence of social media, an increasing number of people are suffering from mental health issues. Mental health is an important aspect that everyone should be concerned about. Research has revealed that depression can significantly impact a person's professional and interpersonal skills, potentially affecting ones career trajectory. However, while both men and women face mental health issues, gender differences persist. Numerous studies have indicated that disparities exist in both brain structure and function between males and females. For instance, females may exhibit a greater advantage in emotional processing and social cognition, whereas males may demonstrate enhanced spatial cognition abilities. This study aims to explore gender differences in mental health across four factors. The result shows that, family intergenerational relationships have a greater impact on girls than boys. During their student years, interpersonal relationships within dormitories have a greater influence on boys. In the social sphere, women are more prone to depression than men. From a personal perspective, females are also more likely to experience negative emotions compared to males.

How does lexical coverage affect the processing of L2 texts?

Abstract Lexical coverage, i.e. the extent to which words in a text are known, is considered an important predictor of reading comprehension, with studies suggesting 98% lexical coverage leads to adequate comprehension. However, no studies to date have examined how the various lexical coverage percentages suggested in the literature are reflected by the cognitive effort involved in processing text and the attention that is devoted to the unknown vocabulary. This study used eye-tracking to examine how lexical coverage affects the processing of text (global measures) and unknown vocabulary (word-level measures), as well as the relationship between processing time on unknown vocabulary and learning. Advanced L2 learners of English read a text in one of four lexical coverage conditions (90%, 95%, 98%, 100%) while their eye movements were recorded. Knowledge of unknown pseudowords in the texts was assessed via an immediate, meaning recall post-test. Results showed that only one of the three global measures examined showed a processing advantage for the 98% condition, reflected by longer saccades and less effortful reading than the 90% and 95% conditions. Crucially, lexical coverage did not have a significant impact on the amount of attention spent on unknown vocabulary. Processing times were found to significantly predict vocabulary gains.

Proof of Concept for the Organic Electrorefinery Technology with Actual Effluents.

This work describes results of a first proof of the concept of electrorefinery with a real waste obtained from a cashew nut factory, and it shows the effect of the current densities of both the anodic oxidation and electrochemically assisted separation processes on the performance of the system. Results obtained demonstrate that electrorefinery is a promising option to minimize the carbon fingerprint, worth studying for increasing the sustainability of the environmental remediation of wastes, because valuable species can be obtained from the destruction of pollutants and recovered within the same integrated process. They also point out that there is still a long way to reach an optimum solution for this technology, but it is worth the effort to be made. Many different carboxylates were detected, but oxalate was the primary product both in the reaction tank and in the recovery tank. The production is almost linear during the electrolysis, with a reaction rate of 23.3 mg C h-1 in the case of oxalate and a separation ration of around 20% in the electrodialysis stage. There is a negligible crossover of aromatic species into the recovery solution, which becomes an important advantage for further processing of the carboxylate solutions in the search to valorize these species in terms of circular economy principles. Energy efficiencies in the range of 0.04-0.21 mg C-carboxylates (Wh)-1 and Coulombic efficiencies in the range 0.92-2.03 mg C-carboxylates (Ah)-1 were obtained in this work. A life cycle assessment indicated carbon dioxide and water footprints as low as 0.31 g of CO2 mg-1 C and 30 mL of H2O mg-1 C recovered in the products obtained, respectively.

Application of TbF3 Nano-powders by sand milling process in preparing high performance grain boundary diffusion Nd-Fe-B magnets

The Electrophoretic deposition grain boundary diffusion (EPD-GBD) technology for sintered Nd-Fe-B magnets has garnered significant attention. In this study, TbF3 nano-powders were synthesized via sand milling (SM) process, and the optimal processes were subsequently explored. Notably, the SM powders exhibit two morphologies: blocky and flocculent. With prolonged SM time, the proportion of larger blocky powders decreases gradually, while the proportion of smaller flocculent powders increases. The morphology and proportion of the powders significantly impact the EPD rate and the effectiveness of GBD. Higher blocky powders proportion improved diffusion, reducing residual Tb layer and enhancing magnet coercivity. Higher flocculent powders proportion caused cracking, poor diffusion, thicker residual layer, and lower coercivity. However, a high EPD rate was achieved with a high proportion of flocculent powders. Considering both EPD rate and diffusion effect, the SM process at 1500 r/min for 30 minutes was identified as the optimal parameter. The TbF3 nano-powders prepared by these conditions exhibited superior advantage in the EPD process and the coercivity of GBD magnets compared to traditional micron-scale TbF3 powders, demonstrating the benefits of the SM process in the EPD and GBD processes of Nd-Fe-B magnets.

Emojis and affective priming in visual word recognition

ABSTRACT Emojis are frequently used in digital communication to supplement the lack of non-verbal cues, but their integration during reading has not been thoroughly examined. This study explores the interplay between language and emotion by testing the influence of emotional valence and face-status of emojis on visual word recognition. Two online experiments were conducted with 92 native English-speaking university students, examining priming effects between congruent (e.g. delicious) and incongruent (e.g. hate) prime-target pairs, varying the face-status of the emoji prime (face vs. non-face) and the valence (positive vs. negative) of the word target. Irrespective of valence, face emojis demonstrated a processing advantage over non-face emojis, implying automatic attention capture. Additionally, the results revealed an interaction between prime-target congruency and valence, with a facilitatory effect for positive, but not negative, items, suggesting a valence-specific mechanism of affective priming in the lexical decision task. The research suggests that the rapid integration of emoji content occurs during the early stages of visual word recognition, with heightened attentional sensitivity to both face-like and positive stimuli when reading digital communications.