Initial Phase Research Articles

Quality Initiative Program to Improve the Percentage of Very Preterm Neonates Receiving Expressed Breast Milk Within 24 Hours of Birth in a Tertiary Care (Level III-B) NICU

Background There is often a delay in the initiation of feeding in preterm babies and more dependence on PDHM milk due to the non-availability of the mother’s own milk. This study aimed to increase the percentage of very preterm neonates receiving expressed breast milk (EBM) within 24 hours of birth. Methods A quality improvement (QI) initiative study was conducted from May 2022 to August 2022 in a tertiary care (Level III-B) NICU. A QI support team was formed. The reasons for the delay in the initiation of expression of breastmilk were evaluated. We included preterm neonates (<32 weeks gestation) born within the study period. Antenatal and postnatal counseling regarding the expression of breast milk, using leaflets and video, frequent visits, telephonic reminders, and emphasizing Kangaroo Mother Care through various Plan-Do-Study-Act cycles were done. Results A total of 17 very preterm babies were studied over a period of 3 months. The percentage of preterm receiving EBM within 24 hours of birth, increased from 20% (observation phase) to 83.3% (initiation phase) and maintained to 90% in the continuation phase. The time of receiving the first EBM reduced from a median of 32.5 hours (1.35 days) in the retrospective phase to 17 hours (0.7 days) during the initiation phase and it was sustained later on. Mothers were able to express as early as within 4.5 hours. Conclusion A simple QI intervention showed early expression and sustenance of breast milk in mothers of preterm neonates.

COVID-19 and figures of blame: Discursive representations of blame for COVID-19 and its impacts in UK online news

As publics have attempted to make sense of the COVID-19 crisis and its longer-term impacts there has been an inevitable search for blame. Emergent research on the attribution of blame has focussed exclusively on the initial outbreak, with insufficient attention paid to how countries have responded to the pandemic. Our study adopts a longitudinal approach, examining the figures of blame that emerged across the UK’s experience of COVID-19, including subsequent waves of COVID-19. By sampling articles from three online UK news outlets (BBC; The Guardian; Mail Online), we analyse the linguistic elements and discourse strategies that contribute to the representation of specific actors as figures of blame in news coverage of COVID-19. To identify actors and their representations we focus on three elements: (1) direct, indirect or implied reference to an actor; (2) an expression of anger, resentment or frustration towards this actor; (3) textual and discursive features that nominate agency for their actions or inaction for a negative outcome. Our analysis shows that three prominent figures of blame emerged across the period of analysis. The primary actor represented as a figure of blame was the UK government. This, we argue, differs from the initial phases of the outbreak where there was an emphasis on externalising blame. We also found, however, that the public and the individual were constructed as figures of blame. For the latter it was through an emphasis on personal responsibility in the adoption of preventative behaviours and in following COVID-19 restrictions. We conclude the paper by exploring the significance of these findings for the communicative dynamics of the pandemic.

‘Our region is now a strategic theatre’: New Zealand’s balancing response to China

Drawing upon empirical evidence this article explains that, as the US-China Great Power Competition intensifies, New Zealand – a small state in the South Pacific – has shifted its view of Beijing from a potential security partner to a revisionist actor challenging the regional status quo and the international rules-based order that Wellington repeatedly declares is critical to its long-term security. China’s rise and assertive behaviour is placing structural pressure on New Zealand to react and altered its threat assessment of Beijing. This article reveals this by detailing New Zealand’s balancing strategy in the security domain vis-a-vis China from 2010. This includes an initial phase of pre-balancing through deepened ties with Washington, then transition to active balancing via acquisition of advanced aircraft, space co-operation, joint naval manoeuvres, and initiatives in the Pacific. A suite of new strategy documents released by the New Zealand government in August 2023 - and statements made by the new conservative National Party-led coalition government in 2024 - signals that balancing is set to continue and portends the rejuvenation of the NZ Defence Force (which has been neglected and under-resourced in recent times). New Zealand’s potential membership of Pillar 2 of the AUKUS security pact is considered, and how Wellington is presently managing its relationships with the US and China within a broader asymmetric hedging strategy. The article concludes that if China’s behaviour demonstrably changes, so too may Wellington’s assessment of the China threat and, therefore, Wellington’s response. It also outlines area where additional research could prove fruitful.

Breath Markers of Oxidative Stress in Children with Severe Viral Lower Respiratory Tract Infection.

Severe viral lower respiratory tract infection (LRTI), resulting in both acute and long-term pulmonary disease, constitutes a substantial burden among young children. Viral LRTI triggers local oxidative stress pathways by infection and inflammation, and supportive care in the pediatric intensive care unit may further aggravate oxidative injury. The main goal of this exploratory study was to identify and monitor breath markers linked to oxidative stress in children over the disease course of severe viral LRTI. Exhaled breath was sampled during invasive ventilation, and volatile organic compounds (VOCs) were analyzed using gas chromatography and mass spectrometry. VOCs were selected in an untargeted principal component analysis and assessed for change over time. In addition, identified VOCs were correlated with clinical parameters. Seventy breath samples from 21 patients were analyzed. A total of 15 VOCs were identified that contributed the most to the explained variance of breath markers. Of these 15 VOCs, 10 were previously linked to pathways of oxidative stress. Eight VOCs, including seven alkanes and methyl alkanes, significantly decreased from the initial phase of ventilation to the day of extubation. No correlation was observed with the administered oxygen dose, whereas six VOCs showed a poor to strong positive correlation with driving pressure. In this prospective study of children with severe viral LRTI, the majority of VOCs that were most important for the explained variance mirrored clinical improvement. These breath markers could potentially help monitor the pulmonary oxidative status in these patients, but further research with other objective measures of pulmonary injury is required.

The impact of a school ability banding system on white, working-class males

As part of a wider study into the educational attitudes and experiences of white, working-class male pupils in the north of England, this paper explored the ways that male pupils in years 10 and 11 navigated and experienced the six-level (A-F) academic banding system present in their British mainstream secondary school (Ayrefield Community school – ACS). Following an initial four-week period of both covert and overt observations (including guided conversations), three distinct groups of male pupils emerged. Influenced in part by Paul Willis’ seminal study (1977) of males in a working-class school environment, these three ‘lads’ groups were representative of pupils in the top, middle, and bottom academic bands and were subsequently named Performers, Participants and Problematics respectively by the researcher. Following this initial phase of observations, a total of 74 male pupils from these top (n = 29), middle (n = 26) and lower (n = 19) academic bands were specifically selected to take part in a total of 14 group interviews with the aim being to explore the lads’ experiences of, and attitudes towards, being taught in academic bands, as well as their views on education and qualifications more generally. Passages from these group interviews are combined with guided conversation responses to make up the findings presented in this paper which are then explored and explained using some key concepts from Norbert Elias’s field of figurational sociology alongside key academic literature linked to the use of academic banding in schools. The paper suggests that despite the fact that all male pupils at ACS were exposed to very similar working-class upbringings and social pressures as part of their wider social figuartions, members of each of the three lads’ groups became part of, and were subsequently influenced by, the specific, school-based figuartions that emerged as a result of their allocation to their respective academic group. Influenced by the increasingly diverse and complex social relations within these school-based figuartions, the lads from the three different groups seemed set to achieve relative ‘success’ at school, albeit on route to different destinations, for different reasons, and towards quite starkly different end goals – all whilst still being very much aware of, and influenced by, the wider social figuration of which they were inextricably a part.

Gold Nanoparticles Bioproduced in Cyanobacteria in the Initial Phase Opened an Avenue for the Discovery of Corresponding Cerium Nanoparticles.

The production of isolated metallic nanoparticles with multifunctionalized properties, such as size and shape, is crucial for biomedical, photocatalytic, and energy storage or remediation applications. This study investigates the initial particle formations of gold nanoparticles (AuNPs) bioproduced in the cyanobacteria Anabaena sp. using high-resolution transmission electron microscopy images for digital image analysis. The developed method enabled the discovery of cerium nanoparticles (CeNPs), which were biosynthesized in the cyanobacteria Calothrix desertica. The particle size distributions for AuNPs and CeNPs were analyzed. After 10 h, the average equivalent circular diameter for AuNPs was 4.8 nm, while for CeNPs, it was approximately 5.2 nm after 25 h. The initial shape of AuNPs was sub-round to round, while the shape of CeNPs was more roundish due to their amorphous structure and formation restricted to heterocysts. The local PSDs indicate that the maturation of AuNPs begins in the middle of vegetative cells and near the cell membrane, compared to the other regions of the cell.

Lesson Learned from the Initial Phase of the Development Process of CEFR-Based Uttaradit Rajabhat University Test of English Proficiency

Background and Aims: The development of the CEFR-Based Test of English Proficiency enriches the broader field of language assessment. By sharing valuable insights into the complexities of aligning assessments with international frameworks. Thus, this academic article aims to present the lesson learned during the initial phase of the development process of the CEFR-Based Uttaradit Rajabhat University Test of English Proficiency (URU-TEP). Linking the URU-TEP to the Common European Framework of Reference for Languages (CEFR), widely used as a reference in English as a Foreign Language (EFL) education, is crucial if test results are to be interpreted under the CEFR levels. Methodology: This study used the method of studying documents and related research, using thematic analysis and presenting descriptive information. Results: the finding is divided into four sections: the current state of the English proficiency test at URU, the process of developing the five-skill URU-TEP based on the CEFR, the process of obtaining test validity and reliability, and opportunities and challenges. Conclusion: The essence of the discovery is to enhance understanding in various areas. of the English proficiency testing process at Uttaradit Rajabhat University It also emphasizes consideration of the validity and reliability of the test to support quality and improve the examination process in the future.

Evaluating the efficacy and mechanisms of Hua-Zhuo-Ning-Fu-Decoction on psoriasis using integrated bioinformatics analysis and metabolomics

Ethnopharmacological relevanceHua Zhuo Ning Fu Decoction (HZD) is an empirical prescription from traditional Chinese medicine that shows excellent clinical results for psoriasis patients. Uncertainty lingered over HZD's potential anti-psoriasis mechanisms. Aim of the studyThe study's objective is to investigate the pharmacological processes and therapeutic effects of HZD on psoriasis. Materials and methodsIn the initial phase of the study, an investigation was conducted to assess the effects of HZD on psoriasis-afflicted mice using an imiquimod (IMQ)-induced murine model. The experimental mice were randomly allocated to different groups, including the IMQ-induced model group, the control group, the HZD therapy groups with varying dosage levels (low, medium, and high), and Dexamethasone (DEX, the positive control medicine) group. Bioinformatics analysis and molecular docking were subsequently employed to identify the primary components and molecular targets associated with the therapeutic action of HZD in the context of psoriasis. Additionally, to find the impacts on metabolite regulation, plasma metabolomics based on ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) was used. It's interesting to note that the combined mechanisms from metabolomics were examined in tandem with the targets. In vivo tests were the last step in validating the potential mechanism. Throughout the trial, the following data were recorded: body weight, psoriasis area and severity index (PASI). The molecular targets connected to HZD's anti-psoriasis activities were revealed using histological examination, western blot (WB), and ELISA investigation. ResultsIn mice induced with IMQ, HZD shown good anti-psoriasis effects in terms of PASI score and epidermal acanthosis. 95 HZD targets and 77 bioactive chemicals connected to psoriasis were found by bioinformatics research; of these, 7 key targets (EPHX2, PLA2G2A, TBXAS1, MAOA, ALDH1A3, ADH1A, and ADH1B) were linked to the mechanisms of HZD, the combination degree of which was finally expressed by the score of docking. In addition, HZD regulated nine metabolites. In line with this, HZD modified three metabolic pathways. Additionally, a combined examination of 7 key targets and 9 metabolites suggested that the metabolism of arachidonic acid might be the key metabolic route, which was identified by ELISA analysis. The in vivo investigation shown that HZD could control cytokines associated to inflammation (IL-10, TGF-β, IL-17A, and IL-23), as well as important antioxidant system markers (ROS, GSH, and MDA). Moreover, HZD controlled iron levels and the expression of ferroptosis-related proteins (ACSL4 and GPX4), suggesting that ferroptosis played a crucial role in this process. ConclusionsOur findings demonstrated the whole mechanism and anti-psoriasis effectiveness of HZD, which will promote its clinical application and aid in the investigation of new bioactive components of HZD against psoriasis.

Do reductions of daily activities mediate the relationship between COVID-19 restrictions and mental ill-health among older persons in Europe?

Objective Previous research has shown that daily activities are crucial for mental health among older people, and that such activities declined during the COVID-19 pandemic. While previous studies have confirmed a link between stringent restrictions and an increase in mental ill-health, the role of daily activities as a mediator in this relationship remains underexplored. We analyzed whether reductions in daily activities mediated the impact of these COVID-19 restrictions on mental ill-health during the pandemic’s initial phase. Methods We used data from Wave 8 SHARE Corona Survey covering 41,409 respondents from 25 European countries and Israel as well as data on COVID-19 restrictions from the Oxford Government Response Tracker (OxCGRT). Multilevel regression and multilevel-mediation analysis were used to examine the relationships between restrictions, daily activities and mental ill-health. Results Reductions in walking and shopping showed a notably stronger association with increases in mental ill-health compared to social activities. Furthermore, declines in walking could account for about a quarter of the relationship between restrictions and increased mental ill-health, but the mediating effects of the other activates were negligible. Conclusions The study highlights the essential role of maintaining daily activities, particularly walking, to mitigate the negative psychological effects of pandemic-related restrictions among older populations in Europe.

Porous Precision-Templated 40 μm Pore Scaffolds Promote Healing through Synergy in Macrophage Receptor with Collagenous Structure and Toll-Like Receptor Signaling.

Porous precision-templated scaffolds (PTS) with uniform, interconnected, 40 μm pores have shown favorable healing outcomes and a reduced foreign body reaction (FBR). Macrophage receptor with collagenous structure (MARCO) and toll-like receptors (TLRs) have been identified as key surface receptors in the initial inflammatory phase of wound healing. However, the role of MARCO and TLRs in modulating monocyte and macrophage phenotypes within PTS remains uncharacterized. In this study, we demonstrate a synergetic relationship between MARCO and TLR signaling in cells inhabiting PTS, where induction with TLR3 or TLR4 agonists to 40 μm scaffold-resident cells upregulates the transcription of MARCO. Upon deletion of MARCO, the prohealing phenotype within 40 μm PTS polarizes to a proinflammatory and profibrotic phenotype. Analysis of downstream TLR signaling shows that MARCO is required to attenuate nuclear factor kappa B (NF-κB) inflammation in 40 μm PTS by regulating the transcription of inhibitory NFKB inhibitor alpha (NFKBIA) and interleukin-1 receptor-associated kinase 3 (IRAK-M), primarily through a MyD88-dependent signaling pathway. Investigation of implant outcome in the absence of MARCO demonstrates an increase in collagen deposition within the scaffold and the development of tissue fibrosis. Overall, these results further our understanding of the molecular mechanisms underlying MARCO and TLR signaling within PTS. Impact statement Monocyte and macrophage phenotypes in the foreign body reaction (FBR) are essential for the development of a proinflammatory, prohealing, or profibrotic response to implanted biomaterials. Identification of key surface receptors and signaling mechanisms that give rise to these phenotypes remain to be elucidated. In this study, we report a synergistic relationship between macrophage receptor with collagenous structure (MARCO) and toll-like receptor (TLR) signaling in scaffold-resident cells inhabiting porous precision-templated 40 μm pore scaffolds through a MyD88-dependent pathway that promotes healing. These findings advance our understanding of the FBR and provide further evidence that suggests MARCO, TLRs, and fibrosis may be interconnected.

Streamwise dispersion of soluble matter in solvent flowing through a tube

For the dispersion of soluble matter in solvent flowing through a tube as investigated originally by G.I. Taylor, a streamwise dispersion theory is developed from a Lagrangian perspective for the whole process with multi-scale effects. By means of a convected coordinate system to decouple convection from diffusion, a diffusion-type governing equation is presented to reflect superposable diffusion processes with a multi-scale time-dependent anisotropic diffusivity tensor. A short-time benchmark, complementing the existing Taylor–Aris solution, is obtained to reveal novel statistical and physical features of mean concentration for an initial phase with isotropic molecular diffusion. For long times, effective streamwise diffusion prevails asymptotically corresponding to the overall enhanced diffusion in Taylor's classical theory. By inverse integral expansions of local concentration moments, a general streamwise dispersion model is devised to match the short- and long-time asymptotic solutions. Analytical solutions are provided for most typical cases of point and area sources in a Poiseuille tube flow, predicting persistent long tails and skewed platforms. The theoretical findings are substantiated through Monte Carlo simulations, from the initial release to the Taylor dispersion regime. Asymmetries of concentration distribution in a circular tube are certified as originated from (a) initial non-uniformity, (b) unidirectional flow convection, and (c) non-penetration boundary effect. Peculiar peaks in the concentration cloud, enhanced streamwise dispersivity and asymmetric collective phenomena of concentration distributions are illustrated heuristically and characterised to depict the non-equilibrium dispersion. The streamwise perspective could advance our understanding of macro-transport processes of both passive solutes and active suspensions.

Winner prediction in an ongoing one day international cricket match

Cricket is a team sport with an intricate set of rules, where players specialize in multiple skills such as batting, bowling, and fielding. Playing conditions and home advantage also impact the game. Thus, it is quite challenging to build an accurate quantitative model for the game. In this paper, we provide a data driven approach to predict the winner of a cricket match. We divide the ongoing match into various states and provide a prediction for each state using supervised machine learning models. We employ dynamic features that account for the current match situation, together with the static features like team strength, winner of the toss, and the home advantage. We also use SHAP scores—an explainable AI technique—to interpret the proposed prediction model. We use ball-by-ball data from 1359 men’s one day international cricket matches played between January 2004 to January 2022 to present our results. We achieved the best in-play prediction accuracy of about 85% . SHAP scores reveal that during initial phases of the match, the model treats static features like team strength more important than others, in making the predictions. But as the match progresses, dynamic features capturing the current match situation become exceedingly important. Our work may be useful in preparing tools for in-play winner prediction for live cricket matches that can be used in websites and mobile applications covering the sport, in providing analytics during live television commentary, and in legal betting platforms.

Validation of the Laryngeal Cognitive-Affective Tool

Background and AimsCognitive-affective processes, including hypervigilance and symptom-specific anxiety, may contribute to chronic laryngeal symptoms and are potentially modifiable; however, a validated instrument to assess these constructs is lacking. The aims of this study were to develop and validate the Laryngeal Cognitive-Affective Tool (LCAT) instrument. MethodsThis two-phase single-center prospective study enrolled participants from 11/2021 to 6/2023. In the initial phase 1:1 patient cognitive interviews and multidisciplinary team consensus were conducted to develop the LCAT. In the second phase asymptomatic and symptomatic participants completed a series of questionnaires to examine psychometric properties of the LCAT. Results268 participants were included: 8 in the initial phase and 260 in the validation phase (56 asymptomatic; 204 symptomatic). A 15-item LCAT was developed. In the validation phase, mean total LCAT and hypervigilance/anxiety sub-scores were significantly higher in symptomatic vs asymptomatic participants (p<0.01). The LCAT had excellent internal consistency (α=0.942) and split-half reliability (Guttman=0.853). Using a median split, a score of 33 or greater was defined as elevated. ConclusionsThe 15-item LCAT evaluates laryngeal hypervigilance and symptom-specific anxiety among patients with laryngeal symptoms. It has excellent reliability and construct validity. The LCAT highlights burdensome cognitive-affective processes which can accordingly help tailor treatments.

Text Document Clustering Using Modified Particle Swarm Optimization with k-means Model

In the present digital era, vast amounts of data are generated by millions of Internet users in the form of unstructured text documents. The clustering and organizing of text documents play a crucial role in the applications of data analysis and market research. In this research manuscript, a new modified version of metaheuristic-based optimization technique is proposed with k-means for clustering the text documents. In the initial phase, the input data are acquired from the three-benchmark databases such as Reuters-21578, 20-Newsgroup and British Broadcasting Corporation (BBC)-sport. Further, the data denoising is accomplished by using the common techniques: stemming, lemmatization, tokenization, and stop word removal. In addition to this, the denoised data are transformed into feature vectors by utilizing Term Frequency (TF)-Inverse Document Frequency (IDF) technique. The computed feature vectors are given to the Modified Particle Swarm Optimization (MPSO) with k-means to group the closely related text documents by minimizing the similarity in different clusters. The experimental examination showed that the proposed MPSO with k-means model achieved accuracy of 0.85, 0.85 and 0.86 on the Reuters-21578, 20-Newsgroup and BBC-sport databases, which are superior to the comparative models.

Salinity gradient power generation in sinusoidal nanochannels

Salinity gradient power generation based on nanochannels has drawn much attention for its green and sustainable advantages. However, previous studies have tended to focus on regularly shaped nanochannels, while rough and irregular surfaces are naturally formed during the preparation of nanochannels (similar to sinusoidal nanochannels). In this paper, a model of salinity gradient energy conversion in sinusoidal nanochannels is established. The impacts of the geometrical parameter dimensions of the sinusoidal channel (including initial phase, channel length, average radius, amplitude, and angular frequency) on the power generation performance under different salinity gradients are systematically investigated. The results show that the sinusoidal nanochannel has better salinity gradient power generation performance than cylindrical nanochannel. It obtains the best power generation performance when the initial phase is zero. Besides, increasing the nanochannel length facilitates ion selectivity and energy conversion efficiency. At high concentration difference, decreasing the average radius or increasing the amplitude help increase the maximum output power and enhance the energy conversion efficiency. The maximum output power of about 1.27 pW and energy conversion efficiency of about 32.8% were obtained by optimizing the sinusoidal channel amplitudes. It is also found that increasing the angular frequency is favorable to improving energy conversion performance at the high concentration difference. These results provide helpful information for designing and optimizing salinity gradient energy conversion systems.

Pharmacokinetics and pharmacodynamics across infusion rates of intravenously administered nipocalimab: results of a phase 1, placebo-controlled study.

Nipocalimab is a high-affinity, fully human, aglycosylated, effectorless, immunoglobulin G (IgG) 1 monoclonal antibody that targets the neonatal Fc receptor (FcRn), decreases systemic IgG including autoantibodies, and is under development in several IgG autoantibody- and alloantibody-mediated diseases, including generalized myasthenia gravis, chronic inflammatory demyelinating polyneuropathy, maternal-fetal medicine, and multiple other therapeutic areas. An initial phase 1 study with single and multiple ascending doses of nipocalimab infused intravenously (IV) over 2 h demonstrated dose-dependent serum pharmacokinetics and IgG reductions, with an adverse event (AE) profile comparable to placebo. The current investigation evaluates the safety, tolerability, pharmacokinetics, and pharmacodynamics of single doses of nipocalimab across various IV infusion rates in a randomized, double-blind, placebo-controlled, sequential-dose study. Forty participants were randomized to receive nipocalimab 30 mg/kg over 60, 30, 15 or 7.5 min (0.5, 1, 2, or 4 mg/kg/min); nipocalimab 60 mg/kg over 15 min (4 mg/kg/min); or matching placebo. At doses up to 60 mg/kg and infusion rates up to 4 mg/kg/min (maximum clinically feasible rate), single doses of nipocalimab were tolerable, with 12 (40%) participants experiencing AEs across nipocalimab cohorts compared with 1 (10%) participant in the placebo cohort. AEs deemed treatment related occurred in 6 (20%) participants receiving nipocalimab and 1 (10%) participant receiving placebo. None of the AEs were severe, and no participants discontinued treatment due to AEs. Nipocalimab provided consistent, dose-dependent serum pharmacokinetics and IgG reductions, regardless of infusion rate. This study supports the use of shortened durations of nipocalimab infusion for future studies.

Ontology learning from object-relational mapping metadata and relational database

Ontologies play an important role in representing the semantics of data sources. Building an ontology as a representation of domain knowledge from available data sources is not a simple process, particularly when dealing with relational data, which remains prevalent in existing knowledge systems. In this study, we create an ontology from a relational database using object-relational mapping (ORM) metadata as additional rules for mapping. Our method comprises two main phases: ontology schema construction using ORM metadata and the generation of ontology instances from the relational database. During the initial phase, we analyzed the ORM metadata to map it to an resource description framework schema (RDF(S))-OWL representation of the ontology. In the subsequent phase, we applied mapping rules to convert the relational database (RDB) data into ontological instances, which are then represented as RDF triples. Using ORM metadata, we enhance the accuracy of the resulting ontology, particularly in terms of extracting concepts and hierarchical relationships. This study contributes to the field of ontology learning by showcasing a novel approach that leverages ORM metadata to create ontologies from relational databases.

Biogeochemical mechanisms of zero-valent iron and biochar for synergistically mitigating antimony uptake in rice

Antimony (Sb) contamination in paddy fields can lead to its accumulation in rice grains, posing a threat to food safety. To address this issue, the combined use of zero-valent iron (ZVI) and biochar (BC) were applied to decrease the uptake of Sb in Sb-polluted soils, and their effects on Sb uptake from soil to rice grains were investigated. Our results showed that the combination treatment of 0.05 % ZVI and 0.095% BC resulted in a significant decrease (42.8%) in Sb accumulation in rice grains that was comparably more efficient than that by 0.05% ZVI (decrease of 15.8% Sb accumulation) or 0.095% BC (decrease of 12.7% Sb accumulation) alone, demonstrating the synergistic effect of ZVI and BC on mitigating Sb uptake by rice plants. ZVI presence resulted in the formation of iron oxides in the soil and on root surfaces, and the S2−/S22− ascent also increased by 58.7% on day 75 compared with that of the control, facilitating the reduction of Sb(V) to less mobile Sb(III), thereby decreasing Sb accumulation in rice plants. BC initially increased the mobility of Sb owing to its alkaline nature, whereas the electron shuttle properties of BC contributed to a decrease in Sb mobility. The abundance of the arsenite-reducing gene arrA ultimately increased by 203.2% on day 120 compared with the initial phase on day 5, and BC caused a remarkable increase in arrA gene abundance. This study revealed the synergistic mechanisms by combining ZVI and BC to mitigate Sb uptake by rice, which may be useful for the sustainable remediation of contaminated rice paddies.

Transient conjugate free convection within flexible enclosure having discrete heat source

Transient conjugate free convection in flexible enclosure is examined numerically. Isoflux heat sources are mounted in a left wall of finite thermal conductivity while a right wall is assumed to be hyper-flexible. The finite element method (FEM) is adopted to solve the governing partial differential equations, an arbitrary Lagrangian–Eulerian (ALE) approach inherent in the unstructured mesh. The governing parameters under consideration are: the number of the heat source, [Formula: see text], the thickness of the heat source, [Formula: see text], and the Rayleigh number, [Formula: see text]. It is determined that the development of conjugate convection heat transfer experiences through an initial phase, a transition phase, and a steady state phase. Each phase interval is shifted by adjusting the thickness of the heat source. Higher number and thicker of heat source cases had an ignorant effect on the shape of the flexible wall, but they tend to suppress the heat transfer rate. Increasing the block amplitude by 25% for [Formula: see text] results in reductions of the values of [Formula: see text] to 24%, 20%, and 28% respectively.

Development of the conceptual business model of a third-party logistics provider for Indonesian small contractors

Third-party logistics (TPL) providers have shown positive impacts on supporting large construction projects. Nevertheless, their role in smaller construction still requires further clarification. Small contractors, facing logistics challenges in material supply, are frequently underrepresented in research. We propose a TPL model designed as an intermediary between suppliers and small contractors for consolidating materials. In the initial phase, TPL's business model should be developed for its business foundation. Therefore, this study aims to develop TPLS's conceptual business model that addresses Indonesian small contractors. Three interview themes were employed in this research, involving three distinct groups of small contractors to explore their capacities within construction work, their assessments of specific materials, and their logistical practices. Based on the nine blocks of the Business Model Canvas (BMC), this study found that TPL can ensure material supplies for small construction projects by coordinating sourcing, providing temporary storage, and delivering materials through building strategic partnerships with material suppliers, transportation service providers, and warehousing facility providers. Furthermore, TPL's conceptual business model allows small contractors to gain better access to material supply while providing suppliers with certainty of material purchasing demand. Nonetheless, achieving successful TPL implementation requires dedication from every stakeholder in their assigned roles.