Integrative Process Research Articles

Individual differences in the use of top-down versus bottom-up cues to resolve phonetic ambiguity.

How listeners weight a wide variety of information to interpret ambiguities in the speech signal is a question of interest in speech perception, particularly when understanding how listeners process speech in the context of phrases or sentences. Dominant views of cue use for language comprehension posit that listeners integrate multiple sources of information to interpret ambiguities in the speech signal. Here, we study how semantic context, sentence rate, and vowel length all influence identification of word-final stops. We find that while at the group level all sources of information appear to influence how listeners interpret ambiguities in speech, at the level of the individual listener, we observe systematic differences in cue reliance, such that some individual listeners favor certain cues (e.g., speech rate and vowel length) to the exclusion of others (e.g., semantic context). While listeners exhibit a range of cue preferences, across participants we find a negative relationship between individuals' weighting of semantic and acoustic-phonetic (sentence rate, vowel length) cues. Additionally, we find that these weightings are stable within individuals over a period of 1 month. Taken as a whole, these findings suggest that theories of cue integration and speech processing may fail to capture the rich individual differences that exist between listeners, which could arise due to mechanistic differences between individuals in speech perception.

An Automated Robotic Interface for Assays: Facilitating Machine Learning in Drug Discovery by the Automation of Physicochemical Property Assays.

Measuring the physicochemical properties of molecules is an iterative but integral process in the drug development process. A strategy to overcome the challenges in maximizing assay throughput relies on the usage of in silico machine learning (ML) prediction models trained on experimental data. Consequently, the performance of these in silico models are dependent on the quality of the utilized experimental data. To improve the data quality, we have designed and implemented an automated robotic system to prepare and run physicochemical property assays (Automated Robotic Interface for Assays, ARIA) with an increase in sample throughput of 6 to10-fold. Through this process, we overcame major challenges and achieved consistent reproducible assay data compared to semiautomated assay preparation.

Beyond monetary value: how reward type drives cheating in a gender-judgment task.

Investigating the effects of monetary incentives on dishonest behavior provides valuable insights into human integrity and ethical decision-making processes. This study is conducted through the lens of self-concept maintenance theory. The aim of this study is to examine the influence of different types of rewards (score-based vs. monetary) and their magnitude on dishonest behavior within a gender judgment task. Using a quantitative experimental design, this study involved 116 participants who were randomly assigned to conditions that differed in reward type (score or money) and magnitude (10 yuan vs. 50 yuan). Dishonest behavior was assessed using a gender judgment task with mechanisms to simulate conditions conducive to planned cheating. Results revealed significant differences in dishonesty rates between score and money conditions, with a higher proportion of dishonest participants observed in the score condition compared to the money condition. The timing of initial cheating was earlier in the score condition compared to the money condition. No significant differences were found in the proportion of dishonest participants, the cheating rate, or the timing of initial cheating across reward levels within either condition. The rate of cheating increased over time, suggesting a temporal dynamic in unethical decision making. The study demonstrates that the nature of rewards significantly influences the likelihood of dishonest behavior, with intangible score-based rewards facilitating rationalizations for dishonesty more readily than tangible financial incentives. These findings enrich the understanding of moral psychology by highlighting the complex interplay between reward types, ethical rationalization, and the dynamics of dishonest behavior.

Internal Control System for Government Agencies

Internal control is a part of each system used as procedures and guidelines for the operational implementation of a specific company or organization. Meanwhile, the internal control system is a collection of integrated internal controls that are interconnected and mutually supportive. According to Government Regulation No. 60 of 2008, the internal control system is defined as an integral process of actions and activities carried out continuously by leaders and all employees to provide adequate assurance of achieving organizational goals through effective and efficient activities, the reliability of financial reporting, the safeguarding of state assets, and compliance with regulations. Keywords: internal control system, government agencies.

A global behavioural model of human fire use and management: WHAM! v1.0

Abstract. Fire is an integral ecosystem process and a major natural source of vegetation disturbance globally. Yet at the same time, humans use and manage fire in diverse ways and for a huge range of purposes. Therefore, it is perhaps unsurprising that a central finding of the first Fire Model Intercomparison Project was simplistic representation of humans is a substantial shortcoming in the fire modules of dynamic global vegetation models (DGVMs). In response to this challenge, we present a novel, global geospatial model that seeks to capture the diversity of human–fire interactions. Empirically grounded with a global database of anthropogenic fire impacts, WHAM! (the Wildfire Human Agency Model) represents the underlying behavioural and land system drivers of human approaches to fire management and their impact on fire regimes. WHAM! is designed to be coupled with DGVMs (JULES-INFERNO in the current instance), such that human and biophysical drivers of fire on Earth, and their interactions, can be captured in process-based models for the first time. Initial outputs from WHAM! presented here are in line with previous evidence suggesting managed anthropogenic fire use is decreasing globally and point to land use intensification as the underlying reason for this phenomenon.

Tractability of Multivariate Approximation Problem on Euler and Wiener Integrated Processes

This paper examines the tractability of multivariate approximation problems under the normalized error criterion for a zero-mean Gaussian measure in an average-case setting. The Gaussian measure is associated with a covariance kernel, which is represented by the tensor product of one-dimensional kernels corresponding to Euler and Wiener integrated processes with non-negative and nondecreasing smoothness parameters {rd}d∈N. We give matching sufficient and necessary conditions for various concepts of tractability in terms of the asymptotic properties of the regularity parameters, except for (s, 0)-WT.

Carboxylation of Alkenes with CO2 via Photocatalytic Cleavage of C=C Double Bonds

AbstractThe cleavage of double bonds in alkenes constitutes an integral process in converting feedstock materials into high-value synthetic intermediates. Well-known examples such as the oxidative cleavage of olefins and olefin metathesis only facilitate the synthesis of oxygen-containing compounds and the recombination of olefins. Therefore, it is appealing to extend C=C double bond cleavage to yield more abundant transformations. Herein, we report a novel photocatalytic approach for the deconstructive carboxylation of alkenes with CO2 for the synthesis of carboxylic acids in the absence of transition metals. Compared with reported carboxylations with CO2 during which carbon numbers are typically increased, we achieve the exchange of carbon dioxide with one of the carbons of the alkene double bond, thus providing carboxylic acids with unchanged carbon numbers when terminal alkenes are used.

Identifying children at risk for maltreatment fatalities: assessing the current landscape of birth match policies in the United States

ABSTRACT Data-driven decision-making is a common approach for identifying child maltreatment. However, such strategies must be guided by ethical, equitable, and evaluative frameworks due to their potential for bias and error. This study analyzes the key features, potential challenges, and research evidence of a data-driven strategy known as birth match. Interviews with key informants across four states indicate that programs share features and objectives but that they differ regarding match criteria, data integrity processes, and responses to identified cases. Further, little outcome and equity evidence exists. Results emphasize the need for additional implementation and evaluation infrastructure to ensure transparency and effectiveness.

Boosting carbon utilization efficiency for sustainable methanol production from biomass: Techno-economic and environmental analysis

Concerns about depleted fossil fuels and the climate crisis have intensified the interest in producing biomass-derived methanol. However, the traditional biomass-to-methanol (BTM) process suffers from low carbon conversion ability and serious CO2 emissions caused by the water–gas-shift (WGS) unit. In this study, three novel BTM processes coupled with solid oxide electrolysis, methane pyrolysis, and methane chemical looping technologies are proposed to eliminate WGS unit, and the systematic heat integration is considered to achieve energy cascade utilization. Meanwhile, process performances are comprehensively evaluated to compare the technical, economic, and environmental attractiveness of three novel BTM processes. It is found that compared with the original BTM process, three novel processes significantly improve carbon efficiency by 22%. Meanwhile, CO2 emissions are reduced by 60%. Moreover, the application of methane chemical looping technology is more economical, and the associated net production cost decreases by more than 30%. Additionally, the BTM process coupled with solid oxide electrolysis is more environmentally friendly, whereas the process with methane pyrolysis technology is more exergy-efficient. Overall, the integrated processes have significant application prospects for carbon conversion and mitigation ability as well as economic attractiveness.

Optimization and Testing of DC Electromagnetic Pump for Liquid Metal Space Use

Driving a liquid metal via an electromagnetic pump (EMP) is becoming increasingly important with its many emerging cutting-edge uses. The end losses associated with the EMP generally play a core role in dominating device performance. In this study, we explored the effects of electrode width, number of insulating strips, and pump width on the end loss through theoretical analysis and numerical simulations. The optimization results indicate that reducing electrode width would improve EMP performance. Adding insulation strips enhances the magnitude and uniformity of effective current density but raises hydraulic losses. A smaller pump width achieves a stronger static head, while a larger pump width outputs a higher flow rate. Furthermore, 3D printing technology was employed for rapid integrated processing of the pump body. Detailed performance evaluations and reliability tests were carried out on the EMP. With the design optimized so as to minimize the end losses, an EMP for space experiments has been successfully developed, which will eventually be flown on the China’s space station. Overall, the feasibility of fast, low-cost manufacturing of high-reliability, compact EMP with the assistance of numerical simulation and 3D printing technology was demonstrated. It provides an alternative option for driving metallic fluid for various future space needs.

Stress and deformation analysis of the steel pipe arch integral lifting construction process of a continuous beam arch bridge

The Changjinghuang Railway Xinjiang Xizhi Bridge is a (90 + 180 + 90) m continuous beam arch bridge, and the arch rib steel pipe installation adopts “short bracket assembly and overall lifting method”. In order to ensure the accuracy of closure, the stress and deformation of the arch rib and bracket must be strictly controlled. Midas Civil is used to establish the finite element model to simulate the overall lifting construction process of the arch rib. Based on the model, the stress and deformation of the arch rib and the supports are analyzed, and the determination method of the horizontal cable force under temperature variations is proposed. The results show that the stress and deformation of the arch rib and bracket meet the requirements. Considering the variation of temperature, the tension force of the horizontal cables is taken as 200 t. The construction plan proposed under the guidance of numerical calculation results has been proven by practical engineering to meet the requirement of closure accuracy, which can be used as a reference for similar projects.

Evolution of neural circuitry and cognition.

Neural circuits govern the interface between the external environment, internal cues and outwardly directed behaviours. To process multiple environmental stimuli and integrate these with internal state requires considerable neural computation. Expansion in neural network size, most readily represented by whole brain size, has historically been linked to behavioural complexity, or the predominance of cognitive behaviours. Yet, it is largely unclear which aspects of circuit variation impact variation in performance. A key question in the field of evolutionary neurobiology is therefore how neural circuits evolve to allow improved behavioural performance or innovation. We discuss this question by first exploring how volumetric changes in brain areas reflect actual neural circuit change. We explore three major axes of neural circuit evolution-replication, restructuring and reconditioning of cells and circuits-and discuss how these could relate to broader phenotypes and behavioural variation. This discussion touches on the relevant uses and limitations of volumetrics, while advocating a more circuit-based view of cognition. We then use this framework to showcase an example from the insect brain, the multi-sensory integration and internal processing that is shared between the mushroom bodies and central complex. We end by identifying future trends in this research area, which promise to advance the field of evolutionary neurobiology.

ENHANCING REFLECTIVE CAPACITIES IN EXERCISE PHYSIOLOGY: BRIDGING EDUCATION AND LIFELONG PROFESSIONAL LEARNING

INTRODUCTION & OBJECTIVES Essential to both students and experienced exercise physiology practitioners, reflective practice is a cornerstone of lifelong learning and improved client care. In clinical settings reflection, characterised by awareness, is the critical analysis of experience and requires integration into higher education curriculum. METHODOLOGY Final-year exercise physiology students (N = 21) and 5 clinical exercise physiology supervisors completed a reflective practice learning activity. The stepped process of SPROUT was utilised, via classroom teaching and 14 weeks of clinical practicum. SPROUT represents the Situation, Past experiences, Read and refer, Other influences, Understanding, and Taking it forward. Teaching modes included group discussion, clinical situations, and student-led practice along with the completion of written reflections. Each student responded to the Reflection in Learning Scale (RLS) and further questions about their confidence. Written scripts were analysed for meaning and each ranked. Supervisors responded to open-ended questions during a focus group. FINDINGS Student scores for the RLS revealed higher scores for planning, knowledge integration and mental processing and lower for interactions with knowledge, mindful summarising and coping with negative emotions. 75% of students indicated that they were confident with reflective practice and that SPROUT, however time-consuming, had been helpful. Written scripts showed a range of developing abilities, from novice requiring more depth to those more advanced who demonstrated meaningful engagement and solution-orientated reflective ability. Clinical supervisors supported the importance of reflective practice and were positive about the application of the stepped approach of SPROUT. CONCLUSIONS The SPROUT framework supported reflective practice learning, benefiting both students and qualified practitioners, facilitating not only increased confidence but also a more profound understanding of clinical encounters. The structured approach of SPROUT proved beneficial in guiding reflective thinking. This research underscores the importance of reflective practice in exercise physiology, endorsing its role in ongoing professional development.

Influence of loading on the heat transfer rate and specific water consumption of detached loosed fresh palm fruits during vertical mini-batch sterilization

This study presents the effect of loading on the heat transfer rate and specific water consumption of detached loosed fresh palm fruits during sterilization. Sterilization is an integral process of palm oil extraction that consumes a lot of water. However, most industrial research in the past focused on fresh fruit bunch (FFB) sterilization dynamics. At the same time, the medium- and small-scale industries sterilize already detached loosed fresh palm fruits (LFPF) that have been removed from the spikelet as purchased from aggregators. Therefore, the process data generated from the sterilization of FFB might not be optimal for sterilizing LFPF. This study, therefore, investigates the transient response of variation in LFPF loading of the sterilization chamber to steam injection during steam sterilization of LFPF at 3 ± 0.5 bars using a vertical, single-peak LFPF sterilizer that combines the boiler and sterilizer in a single unit. The LFPF were loaded at mass intervals of 0.2 kg ranging from 0.2 kg to 2 kg. The vapour temperature dynamics, heat transfer rate, steam energy utilization efficiency and specific water consumption parameters were studied. The average vapour temperature varied from 100 °C to 130 °C for the LFPF mass range of 0.2 to 2 kg at steam injection temperature of 140 °C and pressure of 3 ± 0.5 bars. This temperature range matched the saturated vapour temperature of pure water at 1.0––2.8 bars absolute pressure but slightly lower than the saturated vapour temperature of 133.54 °C for pure steam at 3 bars. The percentage of steam energy utilization effectiveness is inversely related to the steam mass flow rate. While energy effectiveness increased with loading mass, the steam mass flow rate decreased with increased LFPF mass. The value of the heat transfer rate ranged between 1.7––55.4 W, while the specific heat transfer rate ranged between 8.5–––41.8 W/kg. The average specific water consumption ranged from 0.014 to 0.09 kg-water/kg-LFPF, with an average value of 0.031 kg-water/kg-LFPF. This value is lower than 0.112–––0.5 kg-water/kg-FFB, with an average value of 0.256 kg-water/kg-FFB for conventional FFB steam sterilization. This represents an 87.9 % reduction in water consumption in conventional FFB steam sterilization. An empirical model deduced for specific heat transfer rate and water consumption for steam sterilization of LFPF at 3 ± 0.5 bars and vapour temperature range of 100––130 °C showed a high coefficient of determination above 99 %.

Optimizing the Implementation of an Electronic-Based Government System (SPBE) in Overseas Official Travel Permits in Higher Education

<p>The research aims to determine the optimization of the implementation of an electronic-based government system (SPBE) in licensing overseas official travel for state civil servants in higher education. The research method used is descriptive qualitative. The normative legal approach is research that examines document studies using various secondary data. The research location is at one of the universities in the city of Solo. Data collection techniques are carried out using literature studies, observation, interviews, and documentation through field observations as research objects. Data analysis in this research uses qualitative analysis techniques. The research results show that optimizing the implementation of an electronic-based government system requires an appropriate policy framework, so that the SPBE vision can be achieved. SPBE is expected to be able to realize an integrated work process that is effective, efficient, and improves the quality of public services on overseas official trips at universities. The development of SPBE can increase ASN human resources in mastering information and communication technology both in quality and quantity so that overseas official travel services are optimal for state civil servants in higher education. The conclusion of this research is to maximize or minimize achieving a goal precisely, effectively, efficiently, and beneficially in implementing an Electronic-Based Government System (SPBE) during overseas official trips.</p>

Development and validation of a method for simultaneous quantitative determination of albendazole and praziquantel in coated tablets “AP-helmin”

Adapting modern methods of quantitative analysis of active substances in their joint content in the dosage form and validating them is an integral process of pharmaceutical development. We have developed a drug in the form of coated tablets for the treatment of helminthiases of the digestive system in adults. A feature of this drug is the composition of the API of albendazole and praziquantel in a ratio of 1:4. The aim of this research is to develop methodology for quantitative analysis of both substances by the method of liquid chromatography, determination of their possible mutual influence on the process, as well as validation of the proposed methods. Materials and methods. To meet the research's set purpose, the following tasks were identified: choosing the most rational method for the quantitative determination of albendazole and praziquantel; confirming the absence of the mutual influence of APIs on the results obtained; and validating the selected methods of albendazole and praziquantel analysis. Object of the research conducted included coated tablets “AP-helmin”, series 1-5.2021; pharmacopoeial standard sample (PSS) of albendazole, and PSS praziquantel. Quantitative determination of albendazole and praziquantel was conducted according to SPU, method 2.2.29. Results. The article describes the conditions and stages of the quantitative determination of albendazole and praziquantel and the main indicators of method validation. Conclusions. It was proven that quantification with the liquid chromatography method of both substances is validated, and the substances do not affect each other's analysis in the coated tablets "AP-helmin" following the project of QCM for this drug. All calculated parameters meet the required validation criteria

Orchestration constraints BlockChained smart contract and integrated digital twins manufacturing systems: ManuChain4.0-based application paradigm and case study

Decentralized manufacturing systems constrained by blockchain significantly enhances data security and process integrity. Nevertheless, intelligent workshops encounter hurdles related to scalability of nodes, efficiency in validation, configuration of process security, and management of online/offline operations, which pose challenges to the seamless application of blockchain in workshop manufacturing environments. This paper introduces an architecture based on BPMN (Business Process Modeling Notation) for integrating smart contracts and digital twins manufacturing systems. It explores effective strategies to address the challenges mentioned above, with the aim of enhancing integration and application approaches. (1) Utilizing a graphical model-driven solution for the visualization and configuration of manufacturing resources on the front end, creating a BPMN-driven orchestration diagram and an off-chain/on-chain interoperability model for manufacturing smart contracts, and investigating voting mechanisms and customization methods specific to smart contracts in workshop manufacturing; (2) The two-layer monitoring model based on blockchain 3.0 and Tangle-based verification backend is established by introducing Cached DTs to implement negotiation of smart contracts based on BPMN constraints at the upper level, and supporting device node expansion and verification mechanisms at the lower level, thereby realizing swift synchronization and comprehensive visualization across the entire manufacturing lifecycle; (3) Based on multiple open-source technologies, a decentralized intelligent workshop case that relies on distributed information management is constructed. The comprehensive experimental results underscore the technical superiority of the proposed system architecture.

Unlocking the potential of municipal solid waste: Emergy accounting applied in a novel biorefinery

The rampant municipal solid waste (MSW) generation caused mainly by people's lifestyle has required technological solutions to deal with this global issue. This paper assess an innovative and integrated biorefinery (2IB) to manage MSW. The 2IB is rooted in the circular economy concept, and it differs from any other currently existing technological route in managing MSW due to its integrated processes that receives both inorganic and organic fractions at the same time, besides unveiling an innovative aspect related to thermoplastic production. Due to its scientific-based advantages, the emergy accounting (withy ‘m’) is considered as method to quantify the 2IB environmental performance, comparing the results with alternatives MSW management facilities. Results show that 2IB has similar performance for the three traditional emergy indicators (m-EYR of 1.17, m-ELR of 5.73 and m-ESI of 0.20) compared to incineration and landfilling, indicating low yield, moderate load on the environment, and unsustainable. On the other hand, the emergy return indicator (ERI of 20.33) indicates higher performance for the 2IB, in which for each solar emjoule (sej) – the measure unit of emergy – invested it generates a return of about 20 sej that becomes available as benefits for societal development. From an emergy perspective, results support that 2IB should be considered as a powerful technological alternative to manage MSW. This study contributes from a theoretical perspective with discussions on the emergy accounting procedures applied on systems located at far right side of energy hierarchy, while contributing from a practical perspective by providing technical information about the 2IB that supports decision makers towards more sustainable MSW management systems.

Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository.

In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and heterogeneous, which comes in different files and formats. Accessing data efficiently and effectively are critical challenges. Traditional indexing mechanisms are difficult to apply on unstructured data, especially by identifying correlation information between clinical data elements. In this research work, we developed a correlation-aware relevance-based index that retrieves clinical data by fetching most relevant cases efficiently. In our previous work, we designed a methodology that categorizes medical data based on the semantics of data elements and merges them into an integrated repository. We developed a data integration system for medical data sources that combines heterogeneous medical data and provides access to knowledge-based database repositories to different users. In this research work, we designed an indexing system using semantic tags extracted from clinical data sources and medical ontologies that retrieves relevant data from database repositories and speeds up the process of data retrieval. Our objective is to provide an integrated biomedical database repository that can be used by radiologists as a reference, or for patient care, or by researchers. In this paper, we focus on designing a technique that performs data processing for data integration, learn the semantic properties of data elements, and develop a correlation-aware topic index that facilitates efficient data retrieval. We generated semantic tags by identifying key elements from integrated clinical cases using topic modeling techniques. We investigated a technique that identifies tags for merged categories and provides an index to fetch data from an integrated database repository. We developed a topic coherence matrix that shows how well a topic is supported by a corpus from clinical cases and medical ontologies. We were able to find more relevant results using an annotation index from an integrated database repository, and there was a 61% increase in a recall. We evaluated results with the help of experts and compared them with naive index (index with all terms from the corpus). Our approach improved data retrieval quality by providing most relevant results and reduced data retrieval time as we applied correlation-aware index on an integrated data repository. Topic indexing approach proposed in this research work identifies tags based on a correlation between different data elements, improves data retrieval time, and provides most relevant cases as an outcome of this system.

Long-Term Alterations in Motor Skills, Neurogenesis and Astrocyte Numbers following Transient Cerebral Ischemia in Mice.

Background and Objectives. Neurogenesis is an integral process in post-stroke recovery, involving the recruitment of proliferating neuroblasts from neurogenic niches of the mammal brain. However, the role of neurogenesis in the long-term restoration following ischemic stroke is fragmented. Post-stroke motor dysfunction includes challenges in the proper, coordinated use of hands and is present in roughly two-thirds of human patients. In this study, we investigated chronic behavioral and biochemical alterations after transient cerebral ischemia in adult male mice. Materials and Methods: Twelve-week-old C57BL/6N male mice were used, and fMCAo lasting 60 min was induced. At multiple timepoints after fMCAo induction, a single pellet reaching task was performed. Six months after the procedure, we immunohistochemically determined the number of proliferating neuroblasts (BrdU and DCX-positive) and the number of differentiated astrocytes (GFAP-positive) in both brain hemispheres. Results: The reaching ability of fMCAo mice was impaired from one month to six months after the induction of ischemia. Neuroblast proliferation was increased in the ipsilateral SVZ, whereas GFAP+ cell count was elevated in the hippocampal DG of both hemispheres of the fMCAo group mice. Conclusions: Our current report demonstrates the long-term effects of transient cerebral ischemia on mice functional parameters and neurogenesis progression. Our data demonstrate that transient cerebral ischemia promotes a long-lasting regenerative response in the ipsilateral brain hemisphere, specifically in the neurogenic SVZ and DG regions.