bluuebunny/crossref_metadata_2025 huggingface dataset:
Adherence to wearing prescribed footwear in people at risk of diabetes‐related foot ulcers
Authors: Jarl Gustav , Hulshof Chantal M. , Tijhuis Kim A. , Busch‐Westbroek Tessa E. , Bus Sicco A. , van Netten Jaap J.
Published: August 2024

Introduction

Adherence to wearing prescribed footwear is paramount in reducing the risk of developing diabetes‐related foot ulcers, but adherence is often lower than optimal. This study aimed to investigate predictors of footwear adherence and variations in adherence and activity in people at risk of diabetes‐related foot ulceration.

Methods

Sixty people at high foot ulcer risk were included. We measured the proportion of weight‐bearing acitivity time the prescribed footwear was worn for seven days. Multiple linear regression and analysis of variance were used.

Results

Mean overall adherence was 63%. Adherence was lower at home than away from home (59% vs. 74%), while activity was higher at home (2.2 vs. 1.2 h/day). Adherence was similar across activities (61%–63%). No variable predicted the overall adherence. Higher Hba1c predicted lower adherence at home (β = −0.34, p = 0.045, R2 = 11.6%). More daily steps predicted lower adherence away from home (β = −0.30, p = 0.033, R2 = 9.3%). Adherence and activity were highest in mornings (71%, 1.1 h) and afternoons (71%, 1.5 h), and lower in evenings (40%, 0.8 h) and at nights (9%, 0.1 h). Adherence was similar on weekdays and weekend days (63% vs. 60%), but activity was higher on weekdays (3.4 vs. 3.0 h).

Conclusion

Adherence levels and predictors thereof differed between adherence at home and away from home, so we suggest to treat them as different concepts. Due to the low explained variance, future studies should focus on other predictors such as psychological variables.
Degradation of lubricating molecules in synovial fluid alters chondrocyte sensitivity to shear strain
Authors: Ayala Steven , Matan Salman O. , Delco Michelle L. , Fortier Lisa A. , Cohen Itai , Bonassar Lawrence J.
Published: August 2024

Articular joints facilitate motion and transfer loads to underlying bone through a combination of cartilage tissue and synovial fluid, which together generate a low‐friction contact surface. Traumatic injury delivered to cartilage and the surrounding joint capsule causes secretion of proinflammatory cytokines by chondrocytes and the synovium, triggering cartilage matrix breakdown and impairing the ability of synovial fluid to lubricate the joint. Once these inflammatory processes become chronic, posttraumatic osteoarthritis (PTOA) development begins. However, the exact mechanism by which negative alterations to synovial fluid leads to PTOA pathogenesis is not fully understood. We hypothesize that removing the lubricating macromolecules from synovial fluid alters the relationship between mechanical loads and subsequent chondrocyte behavior in injured cartilage. To test this hypothesis, we utilized an ex vivo model of PTOA that involves subjecting cartilage explants to a single rapid impact followed by continuous articulation within a lubricating bath of either healthy synovial fluid, phosphate‐buffered saline (PBS), synovial fluid treated with hyaluronidase, or synovial fluid treated with trypsin. These treatments degrade the main macromolecules attributed with providing synovial fluid with its lubricating properties; hyaluronic acid and lubricin. Explants were then bisected and fluorescently stained to assess global and depth‐dependent cell death, caspase activity, and mitochondrial depolarization. Explants were tested via confocal elastography to determine the local shear strain profile generated in each lubricant. These results show that degrading hyaluronic acid or lubricin in synovial fluid significantly increases middle zone chondrocyte damage and shear strain loading magnitudes, while also altering chondrocyte sensitivity to loading.
Patellar bone defect grafting does not reduce anterior knee pain after bone‐patellar tendon‐bone anterior cruciate ligament reconstruction
Authors: Martorell‐de Fortuny Lucas , Torres‐Claramunt Raul , Sánchez‐Soler Juan Francisco , Perelli Simone , Hinarejos P. , Monllau Joan Carles
Published: August 2024

Purpose

Donor site morbidity is the main drawback to using bone‐patellar tendon‐bone (BPTB) as a graft in anterior cruciate ligament (ACL) reconstruction. The objective of the study was to determine whether refilling the patellar bone defect after BPTB harvesting with autograft bone decreased kneeling pain to a greater degree when compared with a group in which bone defect is left unaddressed.

Methods

This is a randomised single‐blinded controlled study. Forty patients were randomised into two groups; group 1: Patellar bone defect filled with autologous bone; group 2: Bone defect left undressed. Pain was measured by means of pressure algometry (PA). Functional outcomes were measured with the Kujala and Victorian Institute of Sport Assessment‐Patella (VISA‐P) score. Magnetic resonance imaging (MRI) was done to measure bone buildup between groups at the 1‐year follow‐up.

Results

No differences were observed in the different algometry measurements and the scores were assessed at 3, 6 and 12 months postoperatively. The ratio of void filled remained consistently higher (p = 0.003) in group 1 when compared to group 2.

Conclusions

Although refilling the lower pole of the patella with autologous bone from the harvested BPTB autograft loads the bone defect, it does not reduce pain at the donor site 1 year after surgery.

Level of Evidence

Therapeutic study level 1.
Accelerating Convolutional Processing by Harnessing Channel Shifts in Arrayed Waveguide Gratings
Authors: Yi Dan , Zhao Caiyue , Zhang Zunyue , Xu Hongnan , Tsang Hon Ki
Published: August 2024

Convolutional neural networks are a powerful category of artificial neural networks that can extract features from raw data to provide greatly reduced parametric complexity and enhance pattern recognition and the accuracy of prediction. Optical neural networks offer the promise of dramatically accelerating computing speed while maintaining low power consumption even when using high‐speed data streams running at hundreds of gigabit/s. Here, we propose an optical convolutional processor (CP) that leverages the spectral response of an arrayed waveguide grating (AWG) to enhance convolution speed by eliminating the need for repetitive element‐wise multiplication. Our design features a balanced AWG configuration, enabling both positive and negative weightings essential for convolutional kernels. A proof‐of‐concept demonstration of an 8‐bit resolution processor is experimentally implemented using a pair of AWGs with a broadband Mach–Zehnder interferometer (MZI) designed to achieve uniform weighting across the whole spectrum. Experimental results demonstrate the CP's effectiveness in edge detection and achieved 96% accuracy in a convolutional neural network for MNIST recognition. This approach can be extended to other common operations, such as pooling and deconvolution in Generative Adversarial Networks. It is also scalable to more complex networks, making it suitable for applications like autonomous vehicles and real‐time video recognition.
Thin‐Film Lithium Niobate Modulators with Ultra‐High Modulation Efficiency
Authors: Meng Xiangyu , Yuan Can , Cheng Xingran , Yuan Shuai , Shang Chenglin , Pan An , Qu Zhicheng , Wang Xuanhao , Wang Jun , Zhang Peijie , Gui Chengcheng , Tang Jiang , Chen Chao , Zeng Cheng , Xia Jinsong
Published: August 2024

Thin‐film lithium niobate (TFLN)‐based electro‐optic modulators have extensive applications in broadband optical communications due to their broad bandwidth, high extinction ratio, and low optical loss. However, compared with their silicon and indium‐phosphide (InP)‐based counterparts, TFLN exhibits lower modulation efficiency. Simultaneously achieving low driving voltage and a wide modulating bandwidth poses a significant challenge. To address this limitation, this paper proposes a transparent conductive oxide film into the device, resulting in an ultra‐high modulation efficiency of 1.02 V cm. The fabricated composite electrode not only attains high modulation efficiency but also sustains a high electro‐optic bandwidth, as evidenced by the 3 dB roll‐off at 108 GHz and the transmission of PAM‐4 signals at 224 Gbit s−1. The fabricated device offers novel solutions for low‐cost, high‐performance modulators, thereby facilitating the downsizing of TFLN‐based multichannel optical transmitter chips.
Activator Heavy Solid Solution in Rigid Framework: An Effective Strategy Toward Highly Efficient and Thermally Stable Near‐Infrared Emission for Wireless Communication
Authors: Jia Shiyu , Shao Zifan , Zhang Chuang , Wang Wenjie , Li Xinglin , Zhou Rongfu , Zhou Yayun , Deng Tingting , Yu Ting , Song Enhai
Published: August 2024

Broadband near‐infrared (NIR) phosphors are crucial components of next‐generation NIR lighting sources. However, the design of high‐efficiency and thermally stable NIR phosphors still poses a significant challenge, whose quantum efficiencies (QEs) are directly limited by their absorption efficiency (AE) toward incident light. Here, an efficient and thermally stable NIR emission with AE up to 64.9% and emission keeping of 91.23% at 423 K is demonstrated via Cr3+ heavy solid solution in rigid framework LiCaGaF6:Cr3+ (LCGFC). Isomorphic LiCaAlF6:Cr3+ also exhibits thermal robustness, while traps in low doping concentration and low QEs. Comparative studies on crystal structure, formation energy, and Helmholtz free energy disclose that Cr3+ substitution on equivalent and equiradius Ga3+ site versus radii differential Al3+ site generates heavier solid solution and sustainable structural rigidity with acquirement of higher AE and better thermal stability. Incorporating LCGFC with a blue InGaN chip, a NIR phosphor‐converted light‐emitting diode is fabricated to realize stable wireless optical communication with good penetrability through biological tissue and some organic products. These findings develop a strategy based on activator heavy solid solutions in a rigid framework to achieve high‐efficiency and thermally stable NIR phosphors but also advance their novel optoelectronic applications.
Postfire extracellular enzyme activity in a temperate montane forest
Authors: O'Kelley Regina , Evered Abigail , Peter‐Contesse Hayley , Moore Jennifer , Lajtha Kate
Published: August 2024

Wildfire is a disturbance expected to increase in frequency and severity, changes that may impact carbon (C) dynamics in the soil ecosystem. Fire changes the types of C sources available to soil microbes, increasing pyrogenic C and coarse downed wood, and if there is substantial tree mortality, decreasing C from root exudates and leaf litter. To investigate the impact of this shift in the composition of C resources on microbial processes driving C cycling, we examined microbial activity in soil sampled from an Oregon burn 1 year after fire from sites spanning a range in soil burn severity from unburned to highly burned. We found evidence that postfire rhizosphere priming loss may reduce soil C loss after fire. We measured the potential activity of C‐acquiring and nitrogen (N)‐acquiring extracellular enzymes and contextualized the microbial resource demand using measurements of mineralizable C and N. Subsurface mineralizable C and N were unaltered by fire and negatively correlated with hydrolytic extracellular enzyme activity (EEA) in unburned, but not burned sites. EEA was lower in burned sites by up to 46%, but only at depths below 5 cm, and with greater decreases in sites with high soil burn severity. These results are consistent with a subsurface mechanism driven by tree mortality. We infer that in sites with high tree mortality, subsurface EEAs decreased due to loss of rhizosphere priming and that inputs of dead roots contributed to mineralizable C stabilization.
Long‐term stability of phosphate sorbed on an allophanic Andosol and a synthesized allophane
Authors: Sato Kenji , Hama Takehide , Ito Hiroaki , Kobayashi Kayoko , Nakamura Kimihito , Sakurai Shinji
Published: August 2024

Allophane and ferrihydrite are the main hosts of phosphate in allophanic Andosols, which are vital soil resources that support high human population densities. However, the sorption mechanism of phosphate on allophane has not been elucidated, unlike that of ferrihydrite. In particular, the effects of residence time on phosphate sorbed on allophane remain unclear. Therefore, the objectives of this study were to (1) understand the effect of residence time on the stability of phosphate sorbed on allophanic Andosol and allophane by desorption experiments using arsenate and (2) elucidate the sorption mechanism of phosphate on allophane using solid‐state 31P nuclear magnetic resonance (NMR). Consequently, the slow sorption of phosphate onto allophanic Andosol, allophane, and ferrihydrite continued for approximately 150 days. The ratio of total desorbable phosphate to phosphate sorbed onto the allophanic Andosol and allophane decreased with increasing residence time. In other words, phosphate sorption on allophanic Andosol and allophane was more irreversible with increasing residence time. The NMR spectra and X‐ray diffraction patterns showed that the molecular environment of phosphate sorbed onto allophane and ferrihydrite did not change at any residence time. Therefore, the slow sorption and irreversibility of phosphate were caused not by surface precipitation but by internal diffusion. In addition, the NMR spectra showed that most of the phosphate sorbed on allophane was present as inner‐sphere complexes.
In Situ Growth of CdS Nanoparticles Between g‐C3N4 Layers for Photocatalytic Reduction of Nitrobenzene
Authors: Tian Zongju , Han Jun , Wu Fangzhou , Chen Xiyu , Hu De , Yu Feng , Qi Kezhen , Wang Wei
Published: August 2024

Photocatalysis technology is green and sustainable for reduction of nitrobenzene to aniline. However, the photocatalytic activity of pure carbon nitride is limited by the high photogenerated carrier recombination rates. Carbon nitride nanosheets (CNN) were prepared by prepolymerization and high temperature calcination and cadmium sulfide (CdS) nanoparticles were in situ grown between the layers of carbon nitride for facilitating the separation and transfer of charges. As a result, the optimal composite catalyst (CdS/CNN‐2) exhibited superior photocatalytic activity with nitrobenzene reduction rate of 83 % within 60 min. This work presents an effective strategy for designing catalysts for the photocatalytic reduction of nitrobenzene.
Determination of Enantiomeric Impurity in Tegoprazan Drug Substance by HPLC
Authors: Zhang Lei , Duan Shutao , Xu Shujuan , Wang Lihua , Shen Yingde
Published: August 2024

Tegoprazan is a novel potassium‐competitive acid blocker used for gastroesophageal reflux disease. It is administered as the (S)‐ and (R)‐enantiomers are considered impurities that should be controlled. The objective of this work was to establish a chiral analytical method for the determination of the enantiomeric impurity of tegoprazan in the drug substance by high‐performance liquid chromatography (HPLC). Enantioselective separation was performed on a Chiralpak alpha1‐acid glycoprotein (AGP) column (4.6 mm × 250 mm, 5.0 µm) at 30°C utilizing a mobile phase consisting of 5 mmol L−1 ammonium acetate buffer (pH 6.0) and 2‐propanol (93:7, v/v) at a flow rate of 0.7  mL min−1 with a detection wavelength of 220 nm. The effects of chromatographic conditions, including the type and concentration of organic modifiers, buffer pH, buffer concentration, flow rate, and column temperature, were thoroughly investigated. Under the optimized conditions, the resolution between (S)‐ and (R)‐tegoprazan was greater than 3.0. Moreover, the developed method was validated in terms of linearity, limits of detection (LOD) and quantitation (LOQ), accuracy, precision, and stability. Each enantiomer showed a good linear relationship over the concentration range of 1.0–100 µg mL−1, with the correlation coefficient of 0.9999. The LOD and LOQ were 0.1 and 0.3 µg mL−1, respectively. In addition, the recoveries ranged from 94.10% to 99.39% with a relative standard deviation (RSD) of 1.9%. Application of this proposed method to determine the enantiomeric impurity in tegoprazan drug substance proved satisfactory. The quantitative results were about 2.0%, demonstrating that enantiomeric impurity remained in the tegoprazan drug substance and should be controlled in the quality criteria.
Integrating culturally relevant leadership learning into the leadership learning framework
Authors: Maia Ana C. , Contreras Lauren , Teig Trisha
Published: August 2024

By incorporating the culturally relevant leadership learning model (CRLL) into the leadership learning framework (LLF), this article provides leadership educators with an inclusive approach to leadership learning. The authors illustrate how educators can integrate the five dimensions of campus climate into leadership knowledge, observation, development, training, engagement, and metacognition. We describe practical ways to address leadership identity, efficacy, and capacity development for all college students, especially those belonging to traditionally underserved identities. Finally, the authors present a new visual for integrating CRLL into the LLF—a kaleidoscope leadership learning model.
Observation as the throughline of the leadership learning framework
Authors: Shetty Rebecca “Becka” , Teig Trisha , Cozzi Nicole
Published: August 2024

Observation is the throughline and synthesizing catalyst of the leadership learning framework (LLF). Observation serves as both a stimulus and clarifier through which all other LLF elements come together. This article explores the literature on both intentional and unintentional observational learning and how learners are socialized. Leadership educators should consider how observation of leadership influences students’ perception of leading before arriving in the learning space and how they can intentionally imbed observational learning within curricular and extracurricular experiences with special attention given to access and representation.
Understanding engagement as a catalyst for leadership learning
Authors: Risku Kamrie , Holder Courtney
Published: August 2024

This article provides an overview of the theoretical foundations of leadership engagement. The authors synthesize research informing leadership engagement practice and research in college environments. They highlight evidence‐based instructional strategies and high‐impact practices for effective leadership engagement for college students, including considerations for identity‐conscious leadership engagement. The article concludes with reflections on how leadership educators and scholars may continue to evolve practice and research for deeper leadership engagement opportunities.
Fault Tolerant in the Expand Ad-Hoc Parallel File System
Authors: Muñoz-Muñoz Dario , Garcia-Carballeira Felix , Camarmas-Alonso Diego , Calderon-Mateos Alejandro , Carretero Jesus
Published: August 2024

In the last years, applications related to Artificial Intelligence and big data, among others, have been involved. There is a need to improve I/O operations to avoid bottlenecks in accessing a larger amount of data. For this purpose, the Expand Ad-Hoc parallel file system is being designed and developed.

Since these applications have very long execution times, fault tolerance mechanisms in the file system are necessary to allow them to continue running in the presence of failures.

This work introduces a fault-tolerant design based on data replication for the Expand Ad-Hoc parallel file system and an initial evaluation conducted on the HPC4AI Laboratory supercomputer in Torino.

The evaluation of Expand Ad-Hoc with fault-tolerant found that, despite data replication, its performance and scalability are generally better than those of other parallel file systems without fault-tolerant.
Novel Thermo-Halotolerant Bacteria Bacillus cabrialesii Native to Qatar Desert: Enhancing Seedlings’ Growth, Halotolerance, and Antifungal Defense in Tomato
Authors: Masmoudi Fatma , Al Naimi Lolwa , Trigui Mohamed , Al Safran Mohammad , Tounsi Slim , Saadaoui Imen
Published: August 2024

Soil salinization and freshwater scarcity are the major challenges threatening conventional agriculture development due to their negative impacts on plant growth and productivity. Fungal infections accentuate these challenges and pose a threat to global food security. Thermo-halotolerant bacteria exhibit a great ability to eradicate phytopathogen proliferation, enhance agricultural yields, and enable the use of saline water for irrigation in arid and semi-arid regions characterized by increasing temperatures and harsh climates. Ten novel halotolerant bacteria isolated from Qatar desert environment and coastline were screened in vitro for their halotolerance, thermotolerance, and plant-growth-promoting potential. Among these, five strains showed significant ability to produce cell-wall degrading enzymes, ACC-deaminase, siderophores, solubilize phosphorous, fix nitrogen, inhibit fungal proliferation, and form biofilms. Particularly, Bacillus cabrialesii strain HB7 displayed interesting potential to eradicate gray mold disease on post-harvested tomato fruits Solanum lycopersicum var. cerasiforme and promote seeds germination and seedlings growth under saline conditions. Scanning electron microscopy evidenced that HB7 is an endophytic strain, capable of forming protective biofilm around tomato seedling roots. This biofilm may play an important role in protecting internal plant tissues and preventing salt infiltration. These findings support the use of Bacillus cabrialesii strain HB7 as an efficient biofertilizer, offering a pathway to sustainable agricultural practices that leverage saline water resources for irrigation.
Coupled hydrogeophysical inversion through ensemble smoother with multiple data assimilation and convolutional neural network for contaminant plume reconstruction
Authors: Fagandini Camilla , Todaro Valeria , Escada Cláudia , Azevedo Leonardo , Gómez-Hernández J. Jaime , Zanini Andrea
Published: August 2024

In the field of groundwater, accurate delineation of contaminant plumes is critical for designing effective remediation strategies. Typically, this identification poses a challenge as it involves solving an inverse problem with limited concentration data available. To improve the understanding of contaminant behavior within aquifers, hydrogeophysics emerges as a powerful tool by enabling the combination of non-invasive geophysical techniques (i.e., electrical resistivity tomography—ERT) and hydrological variables. This paper investigates the potential of the Ensemble Smoother with Multiple Data Assimilation method to address the inverse problem at hand by simultaneously assimilating observed ERT data and scattered concentration values from monitoring wells. A novelty aspect is the integration of a Convolutional Neural Network (CNN) to replace and expedite the expensive geophysical forward model. The proposed approach is applied to a synthetic case study, simulating a tracer test in an unconfined aquifer. Five scenarios are compared, allowing to explore the effects of combining multiple data sources and their abundance. The outcomes highlight the efficacy of the proposed approach in estimating the spatial distribution of a concentration plume. Notably, the scenario integrating apparent resistivity with concentration values emerges as the most promising, as long as there are enough concentration data. This underlines the importance of adopting a comprehensive approach to tracer plume mapping by leveraging different types of information. Additionally, a comparison was conducted between the inverse procedure solved using the full geophysical forward model and the CNN model, showcasing comparable performance in terms of results, but with a significant acceleration in computational time.
Banking of post-SMILE stromal lenticules for additive keratoplasty: A new challenge for eye banks?
Authors: Bievel-Radulescu Raluca , Ferrari Stefano , Piaia Moreno , Mandatori Domitilla , Pandolfi Assunta , Nubile Mario , Mastropasqua Leonardo , Stanca Horia Tudor , Ponzin Diego
Published: August 2024

Purpose

ReLEx (Refractive Lenticule Extraction) Small Incision Lenticule Extraction (SMILE), the second generation of ReLEx Femtosecond Lenticule Extraction (FLEx), is a minimally invasive, flapless procedure designed to treat refractive errors such as myopia, hyperopia, presbyopia, and astigmatism. This review aims to provide a comprehensive overview of the methods for preserving SMILE-derived lenticules and discusses their potential future applications.

Methods

A narrative literature review was conducted using PubMed, Scopus, and Web of Science databases, focusing on articles published up to January 2024 and available in English. The authors also evaluated the reference lists of the collected papers to identify any additional relevant research.

Results

No standardized protocols currently exist for the storage or clinical application of SMILE-derived lenticules. However, these lenticules present a promising resource for therapeutic uses, particularly in addressing the shortage of donor corneal tissues. Their potential applications include inlay and overlay additive keratoplasty, as well as other ocular surface applications. Further research is needed to establish reliable protocols for their preservation and clinical use.

Conclusion

SMILE-derived lenticules offer significant potential as an alternative to donor corneal tissues. Standardizing their storage and application methods could enhance their use in clinical settings.
Development and Preliminary Validation of the Divine Connectedness Scale in the USA
Authors: Datu Jesus Alfonso D. , Fincham Frank D.
Published: August 2024

This research conceptualized and offered preliminary evidence on the psychometric properties of the 10-item Divine Connectedness Scale—a measure that assesses individuals’ perceptions of feeling supported by (divine guidance) and working with (divine collaboration) God or a Supreme Being. Results of exploratory factor analysis and confirmatory factor analysis with 434 undergraduate students in the United States showed that scores from a single-factor model of divine connectedness were valid and reliable. Divine connectedness was positively associated with religiosity, forgiveness, and well-being variables. Divine connectedness showed incremental validity over demographic covariates, social desirability, and religiosity in predicting later meaning in life and flourishing.
A thermodynamic investigation into protein–excipient interactions involving different grades of polysorbate 20 and 80
Authors: Whiteley Joseph , Waters Laura J. , Humphrey James , Mellor Steve
Published: August 2024

Developing stable biopharmaceutical formulations is of paramount importance and is typically achieved by incorporating surfactants as stabilising agents, such as polysorbate 20 and 80. However, little is known about the effect surfactant grade has on formulation stability. This study evaluates the effect of regular grade and Super-refined™ polysorbates 20 and 80 and their interaction with model proteins, namely β-lactoglobulin (β-Ig), human serum albumin (HSA) and immunoglobulin gamma (IgG), using isothermal titration calorimetry (ITC) and differential scanning calorimetry (DSC). ITC results indicated that all four polysorbates underwent binding interactions with β-Ig and HSA, yet no interaction was observed with IgG this is postulated to be a consequence of differences in secondary structure composition. Surfactant binding to β-Ig occurred at ratios of ~ 3:2 regardless of the surfactant used with dissociation constants ranging from 284 to 388 µM, whereas HSA bound at ratios of ~ 3:1 and dissociation constants ranging from 429 to 653 µM. Changes in enthalpy were larger for the surfactant interactions with HSA compared with β-Ig implying the former produced a greater binding interaction than the latter. DSC facilitated measurement of the temperature of unfolding of each protein with the presence of each polysorbate where results further confirmed interactions had occurred for β-Ig and HSA with an increased unfolding temperature between 4 and 6 K implying improved protein stability, yet again, no interaction was observed with IgG. This study thermodynamically characterised the role of polysorbates in protein stabilisation for biopharmaceutical formulations.
Navigating speed–accuracy trade-offs for multi-physics simulations
Authors: Moradinia Zohreh , Vandierendonck Hans , Murphy Adrian
Published: August 2024

This paper introduces a novel approach aimed at addressing persistent challenges inherent in conventional multiphysics modeling methodologies. Existing techniques, such as numerical modeling and analytical calculations, often suffer from time-consuming and computationally intensive processes, leading to inefficiencies, particularly in intricate simulations. The proposed methodology employs regression machine learning algorithms as a black-box solution to anticipate errors and execution times in multiphysics simulations. Diverging from conventional methods, this approach streamlines the exploration of simulation options, providing discernible choices for balancing speed and precision. The efficacy of the methodology is exemplified through successful applications to heat transfer and fluid–structure interaction problems, illustrating its adaptability across diverse scenarios. Notably, the approach upholds the integrity of physics equations and simulation convergence while markedly reducing the trial-and-error efforts and computational burdens associated with traditional methodologies. In summary, the proposed approach emerges as an innovative and promising solution to augment the accuracy, efficiency, and dependability of multiphysics simulations.
Piotroski's Fscore under varying economic conditions
Authors: Anderson Keith , Chowdhury Anup , Uddin Moshfique
Published: August 2024

Piotroski’s Fscore has become increasingly important to investment managers and analysts as a simple measure of a company’s financial strength. However, how it changes over time, and in particular how it reacts under different economic conditions, has not been considered until now. Macroeconomic conditions and the business cycle affect corporate valuations via stock prices. They also affect corporate liquidity, cash flow, profitability, efficiency, financing, capital structure, and thus Fscores. The Fscore is currently used as if it gives similar results in all economic states, but this is not the case. While macroeconomic conditions strongly affect the aggregate Fscore, the effect of particular variables changes greatly depending on the stage of the economic cycle. During contractionary episodes, monetary and macro-economic factors become much more critical and outweigh firm-level factors in determining Fscore values. Investors should, therefore, be particularly cautious in applying the Fscore equally during contractions as during expansionary periods.
Effect of Nanoparticles and Microparticles of Hexagonal Boron Nitride on Structure, Thermal and Mechanical Stability of Lithium and Calcium Greases
Authors: Senyk Szymon , Gocman Krzysztof , Skolniak Marta , Białecki Tomasz , Kałdoński Tadeusz
Published: August 2024

Hexagonal boron nitride is being considered as an additive for greases due to its structure and physical and chemical properties. In the context of the application of such lubricants in real tribological systems, it is important to recognise the effect of hexagonal boron nitride not only on tribological properties, but also on other functional properties of this group of lubricants. In the present study, tests including dropping point, penetration and mechanical stability were carried out. Additionally, particular focus was placed on the properties of the additive itself, including particle size distribution and adsorption properties, as determined by scanning electron microscopy and low-temperature adsorption isotherms. The introduction of hexagonal boron nitride particles into lithium and calcium greases resulted in enhanced resistance to high temperature and prolonged mechanical stress. This phenomenon was attributed to the type of base grease and the modifications in the configuration of the grease's spatial network that ensued as a result of the incorporation of solid particles. It was found that an additive with a smaller particle size and a significant proportion of nanoparticle fractions, and a more developed porous structure, was more effective. Microscopic observations of the structure of the greases confirmed that the solid particles were deposited in the spatial network of the greases. The distribution of hexagonal boron nitride in the grease structure was found to be contingent upon the physical and chemical properties of the additive. Furthermore, the type of base grease, including the arrangement of the soap fibre network, was identified as a contributing factor.

Graphical Abstract
Christian school leaders’ perspectives on identifying and hiring high-quality teachers
Authors: Johnson Alison , Djita Rian R. , Swaner Lynn E.
Published: August 2024

Teacher quality is one of the most important factors influencing a student’s educational outcomes, yet scant research has examined teacher hiring and quality in Protestant Christian schools. In this qualitative work, we thematically analyze interviews about Christian schools’ teacher hiring practices with a group of 12 leaders from 10 member schools in the Association of Christian Schools International. We find that these 10 schools generally follow a standard hiring process. The qualifications they seek in teachers could be arranged into a pyramid, where the base—the most fundamental quality—is demonstration of authentic belief in Protestant Christian doctrines. After faith, school leaders desired teachers to demonstrate Christian virtue and to be a good “fit” for their school culture; at the tip of the pyramid is the category of professional and pedagogical skills. While there was some heterogeneity in the top three tiers among school leaders, all agreed on the importance of Christian school teachers having “a heart for Christ and a heart for kids.”
Seasonal Tracer Subduction in the Subpolar North Atlantic Driven by Submesoscale Fronts
Authors: Picard Théo , Gula Jonathan , Vic Clément , Mémery Laurent
Published: August 2024

Submesoscale flows (0.1–10 km) are often associated with large vertical velocities, which can have a significant impact on the transport of surface tracers, such as carbon. However, global models do not adequately account for these small‐scale effects, which still require a proper parameterization. In this study, we introduced a passive tracer into the surface mixed layer (ML) of a northern Atlantic Ocean simulation based on the primitive‐equation model CROCO, with a horizontal resolution of Δx = 800 m, aiming to investigate the seasonal submesoscale effects on vertical transport. Using surface vorticity and strain rate criteria, we identified regions with submesoscale fronts and quantified the associated subduction, that is the export of tracer below the ML depth. The results suggest that the tracer vertical distribution and the contribution of frontal subduction can be estimated from surface strain and vorticity. Notably, we observed significant seasonal variations. In winter, the submesoscale fronts contribute up to 40% of the total vertical advective transport of tracer below the ML, while representing only 5% of the domain. Conversely, in summer, fronts account for less than 1% of the domain and do not contribute significantly to the transport below the ML. The findings of this study contribute to a better understanding of the seasonal water subduction due to fronts in the region.
Thermoelastic Anomaly of Iron Carbonitride Across the Spin Transition and Implications for Planetary Cores
Authors: Huang Shengxuan , Wu Xiang , Chariton Stella , Prakapenka Vitali , Qin Shan , Chen Bin
Published: August 2024

Carbon and nitrogen are considered as candidate light elements present in planetary cores. However, there is limited understanding regarding the structure and physical properties of Fe‐C‐N alloys under extreme conditions. Here diamond anvil cell experiments were conducted, revealing the stability of hexagonal‐structured Fe7(N0.75C0.25)3 up to 120 GPa and 2100 K, without undergoing any structural transformation or dissociation. Notably, the thermal expansion coefficient and Grüneisen parameter of the alloy exhibit a collapse at 55–70 GPa. First‐principles calculations suggest that such anomaly is associated with the spin transition of iron within Fe7(N0.75C0.25)3. Our modeling indicates that the presence of ∼1.0 wt% carbon and nitrogen in liquid iron contributes to 9–12% of the density deficit of the Earth's outer core. The thermoelastic anomaly of the Fe‐C‐N alloy across the spin transition is likely to affect the density and seismic velocity profiles of (C,N)‐rich planetary cores, thereby influencing the dynamics of such cores.
Effects of Resistivity on the Reconstructed Plasma Fields Revealed by a Three‐Dimensional Empirical Reconstruction Model
Authors: Zhu Xun , Cohen Ian J. , Mauk Barry H.
Published: August 2024

We extend the previous three‐dimensional (3D) empirical reconstruction (ER) model for a set of ideal magnetohydrodynamics (MHD) constraints into a resistive MHD 3D ER model that includes additional resistive MHD constraints and additional measurements from NASA's Magnetospheric Multiscale (MMS) mission. The same form of a stochastic optimization algorithm is used as in the previous ideal MHD 3D ER model to directly minimize the loss function that includes a few more highly nonlinear terms characterizing the model‐measurement differences and the model departures from physical constraints. The resistive MHD 3D ER model is applied to three regions of MMS measurements that correspond to direct sampling of an electron diffusion region (EDR), a region adjacent to the EDR, and one far away from the EDR. The reconstructed plasma and electromagnetic fields are of high quality in all three regions as measured by model‐measurement difference indices and physics‐based quality indicators. The reconstructed fields in the EDR provide us with a good view of the spatial configuration of the reconnection site. We specifically examine the effect of resistivity on energy exchange in the vicinity of the EDR. It was discovered that in the EDR, the energy exchange shows an exclusive and systematic one‐channel process between the plasma thermal energy and electromagnetic energy with the conversion rate highly correlated with the strength of the turbulent electromagnetic fields. In the other two regions away from the EDR, the energy exchange between the electromagnetic energy and the plasma thermal and kinetic energies shows rapidly‐varying and random characteristics.
Modeling Soft X‐Ray Emissions at the Dayside Magnetopause
Authors: Xu Qiuyu , Koutroumpa Dimitra , Modolo Ronan , Sun Tianran , Connor Hyunju , Sembay Steve , Tkachenko Yevhen
Published: August 2024

In this study, we simulate the Solar Wind Charge Exchange (SWCX) soft X‐ray emissions at dayside magnetosheath and cusps by using magnetohydrodynamic (MHD) and LAtmos TEst Particle (LaTeP) models. MHD models are unable to resolve the particle kinetic effects, such as the different behaviors of ions with different q/m, or distinguish the magnetospheric plasma from the solar wind plasma. We investigate these effects with the LaTeP model. As the LaTeP model does not self‐compute magnetic and electric field, the magnetic and electric field data obtained from Open Geospace General Circulation Model (OpenGGCM) and Lagrangian version of the piecewise parabolic method (PPMLR) MHD model are used as the input to LaTeP model. The soft X‐ray emissivity maps simulated from pure OpenGGCM and PPMLR MHD approaches and from LaTeP‐OpenGGCM and LaTeP‐PPMLR approaches are presented and compared. The results indicate that the LaTeP model can well resolve the kinetic effects and can be used to investigate the individual spectral characteristics. Therefore, the LaTeP model is a complementary approach for simulating the X‐ray emissions near the dayside magnetopause. We also calculate the ratio of integrated OVII/OVIII line intensities, produced by charge exchange of O7+ ions and O8+ ions, respectively. We find a relatively higher ratio at the bow shock compared to the surrounding areas, suggesting that this ratio can be an effective parameter to identify the bow shock location.
Impact of probiotics on gut microbiome of extremely preterm or extremely low birthweight infants
Authors: Beck Lauren C. , Berrington Janet E. , Stewart Christopher J.
Published: August 2024

Impact

Meta-analysis of probiotic administration to very preterm or very low birthweight (VP/VLBW) infants shows reduced risk of necrotising enterocolitis (NEC).

Separately reported outcomes for extremely preterm infants (<28 weeks) or extremely low birth weight infants (<1000 g) (EP/ELBW) are lacking meaning some clinicians do not administer probiotics to EP/ELBW infants despite their high risk of NEC.

We present data showing the gut microbiome is impacted in EP/ELBW infants in a similar manner to VP/VLBW infants, suggesting that risk reduction for necrotising enterocolitis that is microbiome driven will also be seen in EP/ELBW infants, making probiotic administration beneficial.
Dose optimization of TBI-223 for enhanced therapeutic benefit compared to linezolid in antituberculosis regimen
Authors: Strydom Natasha , Ernest Jacqueline P. , Imperial Marjorie , Solans Belén P. , Wang Qianwen , Tasneen Rokeya , Tyagi Sandeep , Soni Heena , Garcia Andrew , Bigelow Kristina , Gengenbacher Martin , Zimmerman Matthew , Xie Min , Sarathy Jansy P. , Yang Tian J. , Dartois Véronique , Nuermberger Eric L. , Savic Radojka M.
Published: August 2024

TBI-223, a novel oxazolidinone for tuberculosis, is designed to provide improved efficacy and safety compared to linezolid in combination with bedaquiline and pretomanid (BPaL). We aim to optimize the dosing of TBI-223 within the BPaL regimen for enhanced therapeutic outcomes. TBI-223 is investigated in preclinical monotherapy, multidrug therapy, and lesion penetration experiments to describe its efficacy and safety versus linezolid. A translational platform incorporating linezolid and BPaL data from preclinical experiments and 4 clinical trials (NCT00396084, NCT02333799, NCT03086486, NCT00816426) is developed, enabling validation of the framework. TBI-223 preclinical and Phase 1 data (NCT03758612) are applied to the translational framework to predict clinical outcomes and optimize TBI-223 dosing in combination with bedaquiline and pretomanid. Results indicate that daily doses of 1200–2400 mg TBI-223 may achieve efficacy comparable to the BPaL regimen, with >90% of patients predicted to reach culture conversion by two months.
Cooperative spin crossover leading to bistable and multi-inert system states in an iron(III) complex
Authors: Dürrmann Andreas , Hörner Gerald , Baabe Dirk , Heinemann Frank W. , de Melo Mauricio A. C. , Weber Birgit
Published: August 2024

Cooperativity among spin centres has long been the royal road in spin crossover (SCO) research to impose magnetic bistability in terms of thermal hysteresis. In this work we access magnetic multi-inert states of the iron(III) compound {FeL2[B(Ph)4]} ≡ FeB at low temperature, in addition to thermal bistability. The packing of the low-spin and high-spin forms of crystalline FeB differs only marginally what ultimately leads to structural conservatism. This indicates that the SCO-immanent breathing of the complex cation is almost fully compensated by the anion matrix. The unique cooling rate dependence of the residual low-temperature magnetisation in FeB unveils continuous switching between the trapped high-spin (ON) and the relaxed low-spin state (OFF). The macroscopic ratio of the spin states (ON:OFF) can be adjusted as a simple function of the cooling rate. That is, cooperative spin crossover can be the source of bistable and multi-inert system states in the very same material.
Recent trends in CO2 electroreduction over metal–organic framework-derived materials: a comprehensive review
Authors: Gholampour Nadia , Ezugwu Chizoba I. , Younus Hussein A. , Debecker Damien P. , Al Abri Mohamed , Al hajri Rashid , Kao Chih-Ming , Verpoort Francis
Published: August 2024

Electrochemical CO2 reduction is an emerging, promising method for CO2 mitigation, optimizing current and faradaic efficiencies for effective conversion of CO2 into solar fuel.
Performance evaluation of MBR-RO technology for domestic wastewater treatment
Authors: Phan N N , Dang N H T , Le K H , Duong Y H , Pham L P T
Published: August 2024

This study was carried out to evaluate the treatment efficiency of domestic wastewater using Membrane Bioreactor combined Reverse Osmosis (MBR-RO) technology. The optimal hydraulic retention time (HRT) of the MBR was studied at various HRT value of 1h, 4h, and 8h. The MBR-RO reactor was then operated at optimal HRT for domestic wastewater treatment. The research result showed that the MBR has an optimal HRT of 4h. The removal efficiency of TSS, COD, BOD, TN, and TP in the MBR was 100%, 99.57%, 100%, 73.33%, and 94.41%, respectively. The MBR-RO system can completely remove organic and nutrient pollutants from wastewater with the removal efficiency was 100% for TSS, COD, BOD, TN, and TP. Consequently, the MBR-RO effluent meets the Vietnam regulation standard of QCVN 08:2015/BTNMT and QCVN 01-1:2018/BYT. Research results show the potential of applying MBR-RO membrane technology for domestic reuse purposes.
Groundwater quality and hydro-geochemical characteristics in Upper – Pleistocene aquifer in Cu Chi district, Ho Chi Minh City, Vietnam
Authors: Luyen N T T , Van L T T , Thien N M , Dat H K , Du N H , Dung N T
Published: August 2024

Groundwater in the Pleistocene aquifer in the Cu Chi area was massively exploited for a long period to supply human needs. To evaluate the current groundwater quality and ongoing hydrogeochemical processes in Pleistocene aquifer, a total of 21 groundwater samples were analyzed. The concentrations of Ca2+, Mg2+, Na+, K+, Fetotal, NH4
+, NO3
−, PO4
3-, Cl−, HCO3
− and SO4
2- were determined for the investigations. The rank of major cations in the study area is Na+ > Ca2+ > Mg2+, and Ca2+ > Na+ > Mg2+ respectively. The rank of major anions in the study area is Cl− > HCO3
− > SO4
2- respectively. The bivariate plot explanations indicate many processes that impact the chemical composition of groundwater in the study area, including ion exchange, chemical weathering, and human activity. The saturation index (SI) of halite is oversaturated (SI > 0), while this figure for CaSO4 was negative (SI < 0) in all the samples. Quality groundwater for irrigation purposes showed that all groundwater samples were sensitive to low pH and alkalinity values, therefore, it is necessary to be treated before use for irrigation purposes.
Traditional Irrigation Systems of Mountainous Agrarian Landscapes: Case Study of Tegalalang Rice Terraces, Bali, Indonesia, and Cacaoiten Rice Terraces, Pangasinan, Philippines
Authors: Diaz C C
Published: August 2024

Traditional irrigation systems play a vital role in sustaining agriculture in mountainous agrarian landscapes around the world. However, little is known on how these traditional irrigation systems work, and how they differ from one another. This paper examines the traditional irrigation systems of two distinct regions: the Tegalalang Rice Terraces in Bali, Indonesia, and Cacaoiten Rice Terraces in Pangasinan, Philippines. The aim is to understand their own ways of irrigating their crops, focusing on the source of water, and method how it is being distributed on the fields. The study utilizes a qualitative approach, employing field observations, interviews with local farmers, administrative representatives, and analysis of existing literatures, and documentations. Findings reveal that in Tegalalang, the Subak system prevails, characterized by cooperative water management through a network of embedded pipes regulated by the Subak Management. In contrast, the Inang-ayan system dominates in Cacaoiten, which works through series of canals connected to nearby streams and other sources of water.