bluuebunny/crossref_metadata_2025 huggingface dataset:
A Homolog of the Histidine Kinase RetS Controls the Synthesis of Alginates, PHB, Alkylresorcinols, and Motility in Azotobacter vinelandii
Authors: Rosales-Cruz Araceli , Reyes-Nicolau Jimena , Minto-González Eduardo , Meneses-Carbajal Alan , Mondragón-Albarrán Claudia , López-Pliego Liliana , Castañeda Miguel
Published: August 2024

The two-component system GacS/A and the posttranscriptional control system Rsm constitute a genetic regulation pathway in Gammaproteobacteria; in some species of Pseudomonas, this pathway is part of a multikinase network (MKN) that regulates the activity of the Rsm system. In this network, the activity of GacS is controlled by other kinases. One of the most studied MKNs is the MKN-GacS of Pseudomonas aeruginosa, where GacS is controlled by the kinases RetS and LadS; RetS decreases the kinase activity of GacS, whereas LadS stimulates the activity of the central kinase GacS. Outside of the Pseudomonas genus, the network has been studied only in Azotobacter vinelandii. In this work, we report the study of the RetS kinase of A. vinelandii; as expected, the phenotypes affected in gacS mutants, such as production of alginates, polyhydroxybutyrate, and alkylresorcinols and swimming motility, were also affected in retS mutants. Interestingly, our data indicated that RetS in A. vinelandii acts as a positive regulator of GacA activity. Consistent with this finding, mutation in retS also negatively affected the expression of small regulatory RNAs belonging to the Rsm family. We also confirmed the interaction of RetS with GacS, as well as with the phosphotransfer protein HptB.
A multi-directional redundant 3D-LPT system for ship–flight–deck wind interactions
Authors: Hysa Ilda , Tuinstra Marthijn , Sciacchitano Andrea , Scarano Fulvio , van der Meulen Mark-Jan , Rockstroh Thomas , Roosenboom Eric W. M.
Published: August 2024

In the past years, volumetric velocimetry measurements with helium-filled soap bubbles as tracer particles have been introduced in wind tunnel experiments and performed at large-scale, enabling the study of complex body aerodynamics. A limiting factor is identified in the field of wind engineering, where the flow around ships is frequently investigated. Considering multiple wind directions, the optical access for illumination and 3D imaging rapidly erodes the measurement regions due to shadows and incomplete triangulation. This work formalizes the concepts of volumetric losses and camera redundancy, and examines the performance of multi-directional illumination and imaging for monolithic and partitioned modes. The work is corroborated by experiments around a representative ship model. The study shows that a redundant system of cameras yields the largest measurement volume when partitioned into subsystems. The 3D measurements employing two illumination directions and seven cameras, yield the time-averaged velocity field around the ship. Regions of flow separation and recirculation are revealed, as well as sets of counter-rotating vortices in several stations from the ship bow to the flight–deck. The unsteady regime at the flight–deck is examined by proper orthogonal decomposition, indicating that the technique is suited for the analysis of large-scale unsteady flow features.
Dietary folic acid intake, 13 genetic variants and other factors with red blood cell folate concentration in pregnancy-preparing population
Authors: He Wennan , Zhang Yi , Chen Xiaotian , Dou Yalan , He Yuanchen , Yan Weili
Published: August 2024

Purpose

This study aims to evaluate a combined effect of dietary folic acid intake, multiple genetic polymorphisms in folate metabolism, and other environmental factors on red blood cell (RBC) folate concentration in pregnancy-preparing population.

Methods

519 pregnancy-preparing subjects (260 couples) were investigated. Dietary intake was measured by 3-day dietary recalls. 13 Single Nucleotide polymorphisms (SNPs) reported in association with one-carbon metabolism including the methylenetetrahydrofolate reductase (MTHFR) C677T and A1298C were genotyped. RBC folate concentration was measured using chemiluminescence assay. Hierarchical regression was applied for covariate selection. Factors showed significance(p < 0.0125) on RBC folate level was included for prediction model construction and R2 estimation. Validation cohort analysis was performed as post-hoc analysis if applicable.

Results

The median RBC folate was 212.8 ng/ml. Only 10% took folic acid supplementation within three months. Based on hierarchical selection, folic acid supplementation, genetic polymorphism (especially TT genotype of MTHFR C677T), serum folate level were determinants of the variance of RBC folate concentrations, with adjusted R2 of 0.178–0.242. MTHFR A1298C polymorphism, sex difference with other socio-demographic and lifestyle factors (age, BMI, alcohol drinking, smoking, education, occupation) explained little to change in RBC folate level. Validation in another sub-cohort(n = 8105) had adjusted R2 of 0.273.

Conclusion

In pregnancy-preparing subjects, folic acid supplementation, serum folate level and TT allele of MTHFR C677T polymorphism were determinants of the total variance of RBC folate level, which explained 19.8% variance in our subjects and 27.3% in the validation cohort. Food folate intake, sex and other environmental factors explained little to RBC folate level.
Wait times for scheduling appointments with hospital affiliated dermatologists in New York City
Authors: Basch Corey H. , Hillyer Grace C. , Gold Bailey , Basch Charles E.
Published: August 2024

Patients’ experience accessing dermatologic care is understudied. The purpose of this cross-sectional study was to examine current wait times for new patients to receive dermatological care in NYC. Websites at 58 accredited private and public hospitals in the five boroughs of NYC were reviewed to identify dermatology practices. Office telephone numbers listed on each website were called to collect information pertaining to whether the physician was accepting new patients, type of insurance accepted (public, private, both, or none), and the number of days until a new patient could be seen for an appointment. Data pertaining to the time kept on hold and availability of web-based booking were also collected. Mean waiting time for an appointment was 50 days [standard deviation, SD 66] – nearly 2 months, but the distribution was considerably skewed. The median waiting time was 19.5 days [Interquartile range, IQR 4–60]. The time kept on hold to make the appointment was negligible at about 1 min (63 s, SD = 77) but could take up to ~ 7 min. Two-thirds of dermatologists accepted private, Medicare, and Medicaid insurance (n = 228, 66%); a small number accepted only private insurance (n = 12, 4%) or no insurance at all (n = 16, 5%). The median waiting time for an appointment for the 228 providers that accepted Medicaid was 30.5 days (IQR = 5.0-73.25) while for providers who did not accept Medicaid (n = 116) the median wait time for an appointment was 13.0 days (IQR = 3.0–38.0). Just over half (56%) of the dermatologists allowed for appointments to be booked on their website (n = 193). This research highlights the necessity of incorporating new strategies into routine dermatology appointments in order to increase treatment availability and decrease healthcare inequality.
Data-driven computational mechanics: comparison of model-free and model-based methods in constitutive modeling
Authors: Stöcker Julien Philipp , Heinzig Selina , Khedkar Abhinav Anil , Kaliske Michael
Published: August 2024

In computational homogenization approaches, data-driven methods entail advantages due to their ability to capture complex behavior without assuming a specific material model. Within this domain, constitutive model-based and model-free data-driven methods are distinguished. The former employ artificial neural networks as models to approximate a constitutive relation, whereas the latter directly incorporate stress–strain data in the analysis. Neural network-based constitutive descriptions are one of the most widely used data-driven approaches in computational mechanics. In contrast, distance-minimizing data-driven computational mechanics enables substituting the material modeling step entirely by iteratively obtaining a physically consistent solution close to the material behavior represented by the data. The maximum entropy data-driven solver is a generalization of this method, providing increased robustness concerning outliers in the underlying data set. Additionally, a tensor voting enhancement based on incorporating locally linear tangent spaces enables interpolating in regions of sparse sampling. In this contribution, a comparison of neural network-based constitutive models and data-driven computational mechanics is made. General differences between machine learning, distance minimizing, and entropy maximizing data-driven methods are explored. These include the pre-processing of data and the required computational effort for optimization as well as evaluation. Numerical examples with synthetically generated datasets obtained by numerical material tests are employed to demonstrate the capabilities of the investigated methods. An anisotropic nonlinear elastic constitutive law is chosen for the investigation. The resulting constitutive representations are then applied in structural simulations. Thereby, differences in the solution procedure as well as use-case accuracy of the methods are investigated.
Finger millet (Eleusine coracana L.): from staple to superfood—a comprehensive review on nutritional, bioactive, industrial, and climate resilience potential
Authors: Kaur Simardeep , Kumari Arti , Seem Karishma , Kaur Gurkanwal , Kumar Deepesh , Verma Surbhi , Singh Naseeb , Kumar Amit , Kumar Manish , Jaiswal Sandeep , Bhardwaj Rakesh , Singh Binay Kumar , Riar Amritbir
Published: August 2024

Main conclusion

This review discusses the Finger millet's rich nutritional profile, bioactive potential, and industrial applications, combined with its climate resilience, which make it a promising crop for enhancing food security and promoting sustainable agriculture. This review also highlights its significant potential to address malnutrition and mitigate climate change impacts.

The emergence of Finger millet from “poor man’s staple food” to “a nutrient rich cereal” has encouraged the need to explore this crop at a wider scale. It is a highly significant crop due to its rich nutritional and bioactive profile, diverse biological activities, and promising industrial applications, along with the high climate resilience. This comprehensive review evaluates its nutritional composition by comparing favorably with other cereals and millets and emphasizing its potential to address malnutrition and enhance food security. Furthermore, it explores the phytochemical/bioactive potential and strategies to enhance their bioavailability followed biological activities of Finger millet by highlighting its various health-promoting properties. The review also discusses industrial potential of finger millet including its role in nutraceutical and functional food production, as well as bioenergy generation. In addition, role of Finger millet as a climate-resilient crop; specifically, the available genetic resources and identification of genes and quantitative trait loci (QTLs) associated with major stress tolerance traits have also been discussed. By providing a comprehensive synthesis of existing knowledge, this study offers valuable insights for researchers, policymakers, and stakeholders engaged in efforts to promote sustainable agriculture, enhance food and nutrition security, and mitigate the impacts of climate change.
Visual attention and processing function in relation to executive functioning in very preterm–born children aged 3 years: a prospective cohort study
Authors: Bijlsma Alja , van Gils Maud M. , Beunders Victoria A. A. , Reiss Irwin K. M. , Joosten Koen F. M. , Pel Johan J. M. , Kooiker Marlou J. G. , Vermeulen Marijn J.
Published: August 2024

The ability to orient attention to one’s environment is a prerequisite for developing executive functions (EF) from preschool age. Very preterm children are vulnerable for delays in visual orienting function (VOF) and EF deficits. This study aimed to investigate associations between objective VOF and subjective parent-reported EF in very preterm–born children at 3 years corrected age (CA). In a prospective cohort study (BOND) involving 90 children born < 30 weeks, VOF and EF were assessed using an eye tracking–based method and BRIEF-P questionnaire. Associations between abnormal VOF (viewing reaction times) and EF scores (BRIEF-P scores) were studied using multivariable regression. Using a modified Delphi method, a subset of eight items related to VOF and EF was explored. Abnormal VOF was observed in 31% of the children and abnormal global EF composite scores in 41%. Abnormal VOF was not associated with global or domain-level EF scores. However, children with abnormal VOF more frequently had EF problems related to attentional behavior: “easily sidetracked” (OR 4.18 (CI: 1.21–14.41), p = 0.02) and “short attention span” (OR 4.52 (CI: 1.34–15.22), p = 0.02). Conclusion: Although abnormal VOF was not associated with global, parent-reported, EF at 3 years CA, secondary analyses did show a relation to specific attention and concentration span items. Further research is needed to study the role of VOF in objectifying preschool EF assessments in very preterm born children.

What is known:• Very preterm children are vulnerable for executive function (EF) deficits and for delays in visual orienting function, as compared to term-born children• The ability to orient attention to one’s visual environment is an important prerequisite for EF early in life and is easy to measure objectively with visual orienting function (VOF) assessment

What is new:• VOF measurement at 3 years of age relates to parent-reported attention and concentration span items, important aspects of executive functions• Future work should explore the clinical additional value of early VOF measurement in children at risk for EF deficits
A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture
Authors: Kraschewski Kevin , Phlipot Gregory P. , Kochmann Dennis M.
Published: August 2024

Predicting the mechanics of large structural networks, such as beam-based architected materials, requires a multiscale computational strategy that preserves information about the discrete structure while being applicable to large assemblies of struts. Especially the fracture properties of such beam lattices necessitate a two-scale modeling strategy, since the fracture toughness depends on discrete beam failure events, while the application of remote loads requires large simulation domains. As classical homogenization techniques fail in the absence of a separation of scales at the crack tip, we present a concurrent multiscale technique: a fully-nonlocal quasicontinuum (QC) multi-lattice formulation for beam networks, based on a conforming mesh. Like the original atomistic QC formulation, we maintain discrete resolution where needed (such as around a crack tip) while efficiently coarse-graining in the remaining simulation domain. A key challenge is a suitable model in the coarse-grained domain, where classical QC uses affine interpolations. This formulation fails in bending-dominated lattices, as it overconstrains the lattice by preventing bending without stretching of beams. Therefore, we here present a beam QC formulation based on mixed-order interpolation in the coarse-grained region—combining the efficiency of linear interpolation where possible with the accuracy advantages of quadratic interpolation where needed. This results in a powerful computational framework, which, as we demonstrate through our validation and benchmark examples, overcomes the deficiencies of previous QC formulations and enables, e.g., the prediction of the fracture toughness and the diverse nature of stress distributions of stretching- and bending-dominated beam lattices in two and three dimensions.
Simulated fire injury: effects of trunk girdling and partial defoliation on reproductive development of apple trees (Malus domestica)
Authors: Rossouw Gerhard C. , Idowu Oluyoye , Gregson Aphrika , Holzapfel Bruno P.
Published: August 2024

Fire damage can significantly impact fruit productivity in orchards. However, the effects of nonlethal fire injuries on the reproductive development of apple trees remain poorly understood. To investigate these effects, we implemented three treatments: trunk girdling to simulate fire injury to xylem, defoliation of a third of the canopy (simulated crown fire injury), and a combined treatment (simulated surface fire injury), alongside a control. The experiment was conducted during the 2021–22 growing season using a randomised block design with four biological replicate plots. Girdling was less effective than crown and surface fire treatments in influencing fruit composition during the current growing season, and flowering and fruiting in the following season. The crown and surface fire treatments induced localised detrimental effects on fruit sugar and titratable acidity while stimulating peel blush. Additionally, these treatments led to reduced starch reserves by harvest, which likely disrupted subsequent flowering and crop load near the previously defoliated sections of the canopy. When surface fires damage leaves near the base of the canopy in addition to the trunk, fruit production in the lower part of the canopy is more likely to be compromised in the following season. Crown fires, which cause leaf loss near the apex of the canopy, appear to be particularly detrimental to tree productivity, as the top defoliation treatment impaired carbohydrate reserves in shoot terminals and roots. In conclusion, fire-induced loss of leaf area during fruit growth alters fruit composition in the current growing season and may lead to lower yields in the subsequent season.
Electrochemical detection of anti-tissue transglutaminase antibody using quantum dots-doped polypyrrole-modified electrode
Authors: Dumitriu Cristina , Pandele Andreea Madalina , Mîndroiu Mihaela Vasilica , Lazar Oana-Andreea , Popp Alina , Enachescu Marius , Buica George-Octavian
Published: August 2024

A nanohybrid-modified glassy carbon electrode based on conducting polypyrrole doped with carbon quantum dots (QDs) was developed and used for the electrochemical detection of anti-tissue transglutaminase (anti-tTG) antibodies. To improve the polypyrrole conductivity, carrier mobility, and carrier concentration, four types of carbon nanoparticles were tested. Furthermore, a polypyrrole-modified electrode doped with QDs was functionalized with a PAMAM dendrimer and transglutaminase 2 protein by cross-linking with N-hydroxysuccinimide (NHS)/N-(3-dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride (EDC). The steps of electrode surface modification were surveyed via electrochemical measurements (differential pulse voltammetry (DPV), impedance spectroscopy, and X-ray photoelectron spectroscopy (XPS)). The surface characteristics were observed by scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and contact angle measurements. The obtained modified electrode exhibited good stability and repeatability. DPV between − 0.1 and 0.6 V (vs. Ag/AgCl 3 M KCl reference electrode) was used to evaluate the electrochemical alterations that occur after the antibody interacts with the antigen (transglutaminase 2 protein), for which the limit of detection was 0.79 U/mL. Without the use of a secondary label, (anti-tTG) antibodies may be detected at low concentrations because of these modified electrode features.

Graphical Abstract
New global minimum conformers for the Pt$$_{19}$$ and Pt$$_{20}$$ clusters: low symmetric species featuring different active sites
Authors: Guevara-Vela José Manuel , Gallegos Miguel , Rocha-Rinza Tomás , Muñoz-Castro Álvaro , Kessler Peter L. Rodríguez , Martín Pendás Ángel
Published: August 2024

Context

The study of platinum (Pt) clusters and nanoparticles is essential due to their extensive range of potential technological applications, particularly in catalysis. The electronic properties that yield optimal catalytic performance at the nanoscale are significantly influenced by the size and structure of Pt clusters. This research aimed to identify the lowest-energy conformers for Pt$$_{18}$$

18

, Pt$$_{19}$$

19

, and Pt$$_{20}$$

20

species using Density Functional Theory (DFT). We discovered new low-symmetry conformers for Pt$$_{19}$$

19

and Pt$$_{20}$$

20

, which are 3.0 and 1.0 kcal/mol more stable, respectively, than previously reported structures. Our study highlights the importance of using density functional approximations that incorporate moderate levels of exact Hartree-Fock exchange, alongside basis sets of at least quadruple-zeta quality. The resulting structures are asymmetric with varying active sites, as evidenced by sigma hole analysis on the electrostatic potential surface. This suggests a potential correlation between electronic structure and catalytic properties, warranting further investigation.

Methods

An equivariant graph neural network interatomic potential (NequIP) within the Atomic Simulation Environment suite (ASE) was used to provide initial geometries of the aggregates under study. DFT calculations were performed with the ORCA 5 package, using functional approximations that included Generalized Gradient Approximation (PBE), meta-GGA (TPSS, M06-L), hybrid (PBE0, PBEh), meta-GGA hybrid (TPSSh), and range-separated hybrid ($$\omega $$
ω
B97x) functionals. Def2-TZVP and Def2-QZVP as well as members of the cc-pwCVXZ-PP family to check basis set convergence were used. QTAIM calculations were performed using the AIMAll suite. Structures were visualized with the AVOGADRO code.
Seepage monitoring and leaks detection along an earth dam with a multi-sensor thermal-active system
Authors: Radzicki Krzysztof , Stoliński Marek
Published: August 2024

Thermal investigation using linear sensors installed in the ground is currently one of the most effective methods for analyzing seepage processes in the bodies of earth dams or dikes and their subsoil, including leaks detection. However, linear, fiber-optic temperature sensors present several limitations when applied to existing structures, including installation difficulties and substantial costs. To enhance the applicability of the thermal method for studying subsurface water flow, a novel Multi-Point Thermal-Active Monitoring method has been devised. The approach consists of installing, through hammering, thermal-active sensors side-by-side in the ground, at the same depth in a single line thereby achieving quasi-continuous measurements along the structure. Small openings from sensor installation are secured with bentonite and do not pose a threat to the structure. Each sensor is equipped with a micro-heater, which enables the use of the thermo-active method to determine in-situ seepage velocity. This article describes this method and its initial application in 2014 on one of the Polish earth dams. This application enabled the detection of two leakage zones and the monitoring of their flow velocities, leading to the successful validation of the described technology.
Prospective analysis of STRATAFIX™ symmetric PDS plus suture for fascial closure in spinal surgery: a pilot study
Authors: Glener Steven R. , Patel Pious D. , Serva Stephanie N. , Self Dwight Mitchell , Heller Joshua E.
Published: August 2024

Wound closure is an integral part of every spinal procedure. Effective and secure wound closure is paramount in the prevention of infection, wound dehiscence and the preservation of cosmesis. Barbed suture technologies such as STRATAFIX™ Symmetric have been studied and are used in a variety of specialties, including obstetrics and orthopedic surgery, but is underutilized in neurosurgery. This study aims to assess the time and rate of closure using STRATAFIX™ Symmetric technology for fascial closure and compare this method to the more traditionally used method of fascial closure using braided absorbable sutures below the epidermis. 20 patients were recruited for the study. 10 patients underwent fascial approximation with braided absorbable sutures and definitive fascial closure with STRATAFIX™ Symmetric. In the control group, fascial closure was completed entirely with interrupted braided absorbable stitches. Patients assigned to STRATAFIX™ Symmetric group had shorter mean time for fascial closure, faster rate of average fascial closure, and lower number of total sutures used. The use of barbed suture technology such as STRATAFIX™ Symmetric may reduce the time to closure in thoracolumbar spine surgery without increasing the risk of adverse events. This pilot study forms the framework for a larger randomized, controlled trial appropriately powered for such an analysis.
Impact of tumor multiplicity on the prognosis of patients with primary renal cell carcinoma: a SEER database analysis
Authors: Yang Tianyue , Zheng Hongfeng , Chen Shaojun , Gong Min , Liu Yifan , Zhou Wang , Ye Jianqing , Pan Xiuwu , Cui Xingang
Published: August 2024

To compare clinical characteristics and survival outcomes of patients with multiple renal cell carcinoma versus single renal cell carcinoma. Develop a prognostic model for predicting prognosis in patients with multiple tumors and analyze prognostic factors. Patients with primary multiple renal cell carcinoma were selected from the Surveillance, Epidemiology, and End Results database (2004–2015). They were divided into single-tumor and multiple-tumor groups. Survival analysis was conducted using the Kaplan–Meier method and log-rank test. A Cox regression model was used to identify potential prognostic factors. A total of 19,489 renal cell carcinoma cases were included, with 947 in the multiple-tumor group and 18,542 in the single-tumor group. The multiple-tumor group had lower cancer-specific survival (P = 0.03, HR = 1.431). Cox regression identified risk factors for the multiple-tumor group including number of tumors, gender, combined summary stage, T stage, N stage, tumor size, and type of surgery. The predicted probabilities showed acceptable agreement with the actual observations at 3-, 5-, and 8-years area under the curve values in both the training and validation cohorts (0.831 vs. 0.605; 0.775 vs. 0.672; and 0.797 vs. 0.699, respectively). Compared with single renal cell carcinoma, multiple renal cell carcinoma is associated with decreased cancer-specific survival. Additionally, we identified several prognostic factors including the number of tumors, T stage, tumor size, and type of surgery. These findings offer valuable insights for selecting appropriate treatment strategies for patients diagnosed with multiple renal cell carcinomas.
Barriers to Progress Feedback Adoption in Outpatient Geriatric Mental Healthcare: Exploring Age-Related Factors - A Qualitative Study
Authors: Frissen L. N. , Janse P. D. , Roskam R. V. , Hendriks G. J.
Published: August 2024

Monitoring treatment progress through progress feedback is recognized for its efficacy and demonstrated value. However, its integration and utilization within treatments still need to be improved. Insufficient understanding exists regarding the factors within geriatric mental healthcare influencing the adoption of progress feedback. This study aimed to explore the determinants impacting the utilization of progress feedback within outpatient geriatric mental healthcare, specifically focusing on age-related perspectives and patient group characteristics. This qualitative investigation employed semi-structured interviews involving clinicians (N = 14) selected from four outpatient geriatric teams. The findings revealed both inhibiting and facilitating perspectives concerning progress feedback. Clinicians preferred user-friendly, specific, and tailored measures. Challenges included organizational support, integration in work processes, training, and the digital progress feedback system. Age-related perspectives such as older adults’ diverse issues, limited digital skills, and cognitive problems hindered implementation, particularly in the oldest generation of older patients. In outpatient geriatric mental healthcare, many factors and attitudes influencing progress feedback align with those observed in adult psychiatry literature. Moreover, this study highlights specific age-related factors that impede the adoption and implementation of progress feedback, shedding light on the specific barriers within this context.
Transforming the Effectiveness and Equity of a Psychological Therapy Service: A Case Study in the English NHS Talking Therapies Program
Authors: James Katy , Saxon David , Barkham Michael
Published: August 2024

To work with a psychological therapies service to implement a recovery plan, as required by a government body, aimed at improving patient outcomes (effectiveness) and decreasing practitioner variability (equity). A case-study utilizing components of a learning health system, including nationally mandated patient outcome data, comprising three 18-month phases: (1) retrospective baseline; (2) improving patient outcomes (management-led); and (3) reducing practitioner variability (clinician-led). Primary analyses focused on 35 practitioners (NPR = 35) who were constant across the three phases and their patients in each phase (NPA = 930, 1226, 1217, respectively). Reliable improvement rates determined patient outcomes and multilevel modeling yielded practitioner effects. To test generalizability, results were compared to the whole practitioner sample for each phase: (1) NPR = 81, NPA = 1982; (2) NPR = 80, NPA = 2227; (3) NPR = 74, NPA = 2267. Ethical approval was granted by the Health Research Authority. Patient outcomes improved in successive phases for both the core and whole practitioner samples with the largest impact occurring in the management-led intervention. Practitioner variability decreased in successive phases in both the core and whole practitioner samples except in the management-led intervention of the whole sample. Compared with the management-led intervention, the practitioner-led intervention yielded a decrease in practitioner effect exceeding 60% in the core sample and approaching 50% in the whole sample. The implementation of multiple components of a learning health system can lead to improvements in both the effectiveness and equity of a psychological therapy service.
Prognostic and predictive impact of NOTCH1 in early breast cancer
Authors: Engel Julia , Wieder Vanessa , Bauer Marcus , Kaufhold Sandy , Stückrath Kathrin , Wilke Jochen , Hanf Volker , Uleer Christoph , Lantzsch Tilmann , Peschel Susanne , John Jutta , Pöhler Marleen , Weigert Edith , Bürrig Karl-Friedrich , Buchmann Jörg , Santos Pablo , Kantelhardt Eva Johanna , Thomssen Christoph , Vetter Martina
Published: August 2024

Purpose

Systemic therapy plays a major part in the cure of patients with early breast cancer (eBC). However, personalized treatment concepts are required to avoid potentially harmful overtreatment. Biomarkers are pivotal for individualized therapy. The Notch signalling pathway is widely considered as a suitable prognostic or predictive marker in eBC. This study aimed primarily at assessing the relationship between NOTCH1 mRNA expression levels and histopathological features of breast cancer tumors, as well as clinical characteristics of the correspondent eBC patients. As a secondary aim, we investigated the prognostic and predictive value of NOTCH1 by assessing possible associations between NOTCH1 mRNA expression and recurrence-free interval (RFI) and overall survival after five years of observation.

Patients and methods

The relative NOTCH1 mRNA expression was determined in 414 tumour samples, using quantitative PCR in a prospective, multicenter cohort (Prognostic Assessment in Routine Application (PiA), 2009–2011, NCT01592825) of 1,270 female eBC patients.

Results

High NOTCH1 mRNA expression was detected in one-third of the tumours and was associated with negative hormone receptor status and high uPA/PAI-1 status. In addition, high NOTCH1 mRNA expression was found to be associated with more RFI related events (adjusted hazard ratio 2.1, 95% CI 1.077–4.118). Patients who received adjuvant chemotherapy and had high NOTCH1 mRNA expression in the tumour (n = 86) were three times more likely to have an RFI event (adjusted hazard ratio 3.1, 95% CI 1.321–7.245, p = 0.009).

Conclusion

In this cohort, NOTCH1 mRNA expression had a prognostic and predictive impact. Tumours with high NOTCH1 mRNA expression may be less sensitive to cytotoxic treatment and downregulation of the Notch signalling pathway (e.g. by γ-secretase inhibitors) may be valuable for eBC therapy as an individualised treatment option.
Insight into the Interaction of Perovskite-Like Surfaces (LaMnO3 and LaCoO3) with Ar, H2, CO, and O2 through NAP-XPS Analysis
Authors: Tapia-P. Juan , Gallego Jaime , Gamba Oscar , Espinal Juan F.
Published: August 2024

Perovskite-like oxides present huge chemical variability and a wide range of applications as catalysts for oxidation reactions. The interaction of several small gas molecules with the surface of LaCoO3 and LaMnO3 perovskite-like oxides was studied by Near Ambient Pressure X-ray photoelectron spectroscopy (NAP-XPS) and CO Temperature Programmed Desorption (CO-TPD). Surface chemical changes such as the Osurf/Olattice and cation B oxidation state ratios were analyzed as a function of temperature (400 K, 450 K, 500 K, 550 K, and 650 K) under different gas atmospheres like Ar, CO, H2, and O2. It was found that there was a partial surface reduction when H2 and CO were used in the reaction, and therefore, the cation B oxidation state (Mn4+/Mn3+ and Co3+/Co2+) ratio decreased. Under the CO stream, carbonate species were formed, presenting a C1s signal between 284.5 eV and 287 eV. The CO2 evolution during the reaction at temperatures greater than 500 K was associated with CO activation over or near to surface oxygen species. A Mars-van Krevelen mechanism was proposed for the process, finding significant differences between LaCoO3 and LaMnO3 perovskite-like solid catalysts behavior.

Graphical Abstract
Preschool Engineering Play on Nature Playscapes
Authors: Yuan Yuchang , Zeng Wen , Kloos Heidi , Brown Rhonda , Carr Victoria
Published: August 2024

As an increasingly recognized facet of early childhood development, the integration of play into early STEM education is garnering attention. This paper delves into the role of engineering play within early childhood education, emphasizing its application in natural playscape settings. The focus is on investigating the extent to which engineering play can spontaneously emerge in such natural settings. To explore this, we analyzed extensive video footage of preschool children engaging in play on these playscapes. Our findings reveal a spontaneous occurrence of engineering play, highlighting three illustrative cases. These cases provide valuable insights into how playscapes, complemented by strategic adult involvement, can nurture young children’s engineering skills and behaviors. The findings contribute to the growing evidence that young children are capable explorers, particularly in environments that offer a harmonious mix of structured and unstructured elements tailored to their developmental needs. This research has significant implications for early childhood education. It underscores the importance of incorporating engineering concepts into play-based learning and advocates for a nature-oriented pedagogical approach and curriculum. This approach not only promotes engineering thinking and practices among young learners but also advocates for a curriculum that nurtures these skills through playful, natural interactions.
Navigating Spatial Ability for Mathematics Education: a Review and Roadmap
Authors: Schenck Kelsey E. , Nathan Mitchell J.
Published: August 2024

Spatial skills can predict mathematics performance, with many researchers investigating how and why these skills are related. However, a literature review on spatial ability revealed a multiplicity of spatial taxonomies and analytical frameworks that lack convergence, presenting a confusing terrain for researchers to navigate. We expose two central challenges: (1) many of the ways spatial ability is defined and subdivided are often not based in well-evidenced theoretical and analytical frameworks, and (2) the sheer variety of spatial assessments. These challenges impede progress in designing spatial skills interventions for improving mathematics thinking based on causal principles, selecting appropriate metrics for documenting change, and analyzing and interpreting student outcome data. We offer solutions by providing a practical guide for navigating and selecting among the various major spatial taxonomies and instruments used in mathematics education research. We also identify current limitations of spatial ability research and suggest future research directions.
The best ends by the best means: ethical concerns in app reviews
Authors: Tjikhoeri Neelam , Olson Lauren , Guzmán Emitzá
Published: August 2024

This work analyzes ethical concerns found in users’ app store reviews. We performed this study because ethical concerns in mobile applications (apps) are widespread, pose severe threats to end users and society, and lack systematic analysis and methods for detection and classification. In addition, app store reviews allow practitioners to collect users’ perspectives, crucial for identifying software flaws, from a geographically distributed and large-scale audience. For our analysis, we collected five million user reviews, developed a set of ethical concerns representative of user preferences, and manually labeled a sample of these reviews. We found that (1) users highly report ethical concerns about censorship, identity theft, and safety (2) user reviews with ethical concerns are longer, more popular, and lowly rated, and (3) there is high automation potential for the classification and filtering of these reviews. Our results highlight the relevance of using app store reviews for the systematic consideration of ethical concerns during software evolution.
Augmented testing to support manual GUI-based regression testing: An empirical study
Authors: Bauer Andreas , Frattini Julian , Alégroth Emil
Published: August 2024

Context

Manual graphical user interface (GUI) software testing presents a substantial part of the overall practiced testing efforts, despite various research efforts to further increase test automation. Augmented Testing (AT), a novel approach for GUI testing, aims to aid manual GUI-based testing through a tool-supported approach where an intermediary visual layer is rendered between the system under test (SUT) and the tester, superimposing relevant test information.

Objective

The primary objective of this study is to gather empirical evidence regarding AT’s efficiency compared to manual GUI-based regression testing. Existing studies involving testing approaches under the AT definition primarily focus on exploratory GUI testing, leaving a gap in the context of regression testing. As a secondary objective, we investigate AT’s benefits, drawbacks, and usability issues when deployed with the demonstrator tool, Scout.

Method

We conducted an experiment involving 13 industry professionals, from six companies, comparing AT to manual GUI-based regression testing. These results were complemented by interviews and Bayesian data analysis (BDA) of the study’s quantitative results.

Results

The results of the Bayesian data analysis revealed that the use of AT shortens test durations in 70% of the cases on average, concluding that AT is more efficient. When comparing the means of the total duration to perform all tests, AT reduced the test duration by 36% in total. Participant interviews highlighted nine benefits and eleven drawbacks of AT, while observations revealed four usability issues.

Conclusion

This study presents empirical evidence of improved efficiency using AT in the context of manual GUI-based regression testing. We further report AT’s benefits, drawbacks, and usability issues. The majority of identified usability issues and drawbacks can be attributed to the tool implementation of AT and, thus, can serve as valuable input for future tool development.
Impact of log parsing on deep learning-based anomaly detection
Authors: Khan Zanis Ali , Shin Donghwan , Bianculli Domenico , Briand Lionel C.
Published: August 2024

Software systems log massive amounts of data, recording important runtime information. Such logs are used, for example, for log-based anomaly detection, which aims to automatically detect abnormal behaviors of the system under analysis by processing the information recorded in its logs. Many log-based anomaly detection techniques based on deep learning models include a pre-processing step called log parsing. However, understanding the impact of log parsing on the accuracy of anomaly detection techniques has received surprisingly little attention so far. Investigating what are the key properties log parsing techniques should ideally have to help anomaly detection is therefore warranted. In this paper, we report on a comprehensive empirical study on the impact of log parsing on anomaly detection accuracy, using 13 log parsing techniques, seven anomly detection techniques (five based on deep learning and two based on traditional machine learning) on three publicly available log datasets. Our empirical results show that, despite what is widely assumed, there is no strong correlation between log parsing accuracy and anomaly detection accuracy, regardless of the metric used for measuring log parsing accuracy. Moreover, we experimentally confirm existing theoretical results showing that it is a property that we refer to as distinguishability in log parsing results—as opposed to their accuracy—that plays an essential role in achieving accurate anomaly detection.
The effect of asymmetric zeta potentials on the electro-osmotic flow of a generalized Phan–Thien–Tanner fluid
Authors: Ribau A. M. , Ferrás L. L. , Morgado M. L. , Rebelo M. , Pinho F. T. , Afonso A. M.
Published: August 2024

Electrokinetic flows driven by electro-osmotic forces are especially relevant in micro and nano-devices, presenting specific applications in medicine, biochemistry, and miniaturized industrial processes. In this work, we integrate analytical solutions with numerical methodologies to explore the fluid dynamics of viscoelastic electro-osmotic/pressure-driven fluid flows (described by the generalized Phan–Thien–Tanner (gPTT) constitutive equation) in a microchannel under asymmetric zeta potential conditions. The constitutive equation incorporates the Mittag–Leffler function with two parameters ($$\alpha $$
α
and $$\beta $$
β
), which regulate the rate of destruction of junctions in a network model. We analyze the impact of the various model parameters on the velocity profile and observe that our newly proposed model provides a more comprehensive depiction of flow behavior compared to traditional models, rendering it suitable for modeling complex viscoelastic flows.
Place-belongingness in real-life contexts: A review of practical meanings, contributing factors, and evaluation methods
Authors: Mohseni Hesam , Silvennoinen Johanna , Kujala Tuomo
Published: August 2024

Place-belongingness is conceptualized as the subjective aspect of geographical belonging. Drawing upon a review of empirical studies spanning over a decade, we clarify this concept in real-life contexts, where people assign practical meanings to their place-belongingness. Thematic categorization of these practical meanings yields an extended definition of the concept. We also reclassify the factors contributing to place-belongingness and examine how it emerges in real-life scenarios. This review provides insights into methods for evaluating place-belongingness, emphasizing the need for a validated measurement tool for assessing the impact of interventions. Our findings highlight the promising role of information technologies in enhancing place-belongingness, although it is an unmapped terrain. The review suggests intensified attention to sustainability, the politicization of resources, and non-belonging within place-belongingness research. Moreover, we accentuate place-belongingness as a point of departure for unveiling the underlying inclusion/exclusion structures.
Collective Intrahousehold Labor Supply in Europe: Distribution Factors and Policy Implications
Authors: Belloc Ignacio , Velilla Jorge
Published: August 2024

This paper analyzes how variables that shape intrahousehold bargaining relate to spouses’ labor supply. We estimate a collective model using data from the EU-SILC over 2004–2019 for 17 countries. Results provide evidence of the relevance of the following distribution factors: sex ratio, non-labor income, age difference, education difference, and fertility rates. The sex ratio seems to be a distribution factor in Czech Republic, Denmark, Hungary, Ireland, Italy, Poland, Spain, and Switzerland. In addition, the wife’s share of non-labor income is a distribution factor in Belgium, Czech Republic, Estonia, Ireland, Italy, Luxembourg, Poland, Portugal, Spain, and the UK. In Austria, Belgium, Czech Republic, Denmark, Estonia, France, Ireland, Italy, Luxembourg, Switzerland, and the UK the spouses’ age gap displays opposite signs on spouses’ labor supply, whereas in Austria, Belgium, Czech Republic, Denmark, France, Hungary, Ireland, Luxembourg, Portugal, and the UK the spouses’ education level differences display intrahousehold bargaining signs. Finally, the fertility rate is a distribution factor in Austria, Czech Republic, Denmark, Estonia, France, Ireland, Latvia, Portugal, Switzerland, and the UK. These results indicate that spousal- and country-specific characteristics are assessed differently across Europe and may help planners to implement household policies on cash transfers, schooling, and fertility.
Immobilization of Arginase Using the Organic-Inorganic Hybrid Nanoflower Strategy for L-Ornithine Production
Authors: Liu Pengfu , Fan Junying , Chu Xiaohe
Published: August 2024

The utilization of arginase for catalyzing the synthesis of L-arginine into L-ornithine has proven to be an effective industrial production process. The poor stability of arginase hampers its synthesis efficiency. Organic-inorganic hybrid nanoflowers serve as an effective strategy for enzyme immobilization. However, the precipitation of such immobilized enzymes is prone to dissolution and destruction in amino acid solutions, limiting their applicability. This paper systematically investigates the solubility of organic-inorganic hybrid nanoflowers formed with common metal ions in typical amino acid solutions. Additionally, a novel approach involving the preparation of calcium phosphate hybrid nanoflowers using crude arginase is developed. The findings confirm that the immobilized arginase exhibits superior stability and a broader application range. In the reaction system where L-arginine is utilized as a substrate for synthesizing ornithine, the immobilized arginase demonstrates higher substrate conversion rates and ornithine concentrations compared to free arginase crude extract. This approach holds the potential for industrial applications due to its improved performance.