bluuebunny/crossref_metadata_2025 huggingface dataset:
Simultaneous integrated boost intensity-modulated radiotherapy post breast-conserving surgery: clinical efficacy, adverse effects, and cosmetic outcomes in breast cancer patients
Authors: Bao Yong-qiang , Yu Teng-hua , Huang Wei , Mao Qing-feng , Tu Gan-jie , Li Bin , Yi An , Li Jin-gao , Rao Jun , Zhang Huai-wen , Jiang Chun-ling
Published: May 2024

Background

Simultaneous integrated boost intensity-modulated radiotherapy (SIB-IMRT) is an innovative technique delivering a higher dose to the tumor bed while irradiating the entire breast. This study aims to assess the clinical outcomes, adverse effects, and cosmetic results of SIB-IMRT following breast-conserving surgery in breast cancer patients.

Methods

We conducted a retrospective analysis of 308 patients with stage 0–III breast cancer who underwent breast-conserving surgery and SIB-IMRT from January 2016 to December 2020. The prescribed doses included 1.85 Gy/27 fractions to the whole breast and 2.22 Gy/27 fractions or 2.20 Gy/27 fractions to the tumor bed. Primary endpoints included overall survival (OS), local–regional control (LRC), distant metastasis-free survival (DMFS), acute and late toxicities, and cosmetic outcomes.

Results

The median follow-up time was 36 months. The 3-year OS, LRC, and DMFS rates were 100%, 99.6%, and 99.2%, respectively. Five patients (1.8%) experienced local recurrence or distant metastasis, and one patient succumbed to distant metastasis. The most common acute toxicity was grade 1–2 skin reactions (91.6%). The most common late toxicity was grade 0–1 skin and subcutaneous tissue reactions (96.7%). Five patients (1.8%) developed grade 1–2 upper limb lymphedema, and three patients (1.1%) had grade 1 radiation pneumonitis. Among the 262 patients evaluated for cosmetic outcomes at least 2 years post-radiotherapy, 96.9% achieved excellent or good results, while 3.1% had fair or poor outcomes.

Conclusions

SIB-IMRT after breast-conserving surgery in breast cancer patients demonstrated excellent clinical efficacy, mild acute and late toxicities, and satisfactory cosmetic outcomes in our study. SIB-IMRT appears to be a feasible and effective option for breast cancer patients suitable for breast-conserving surgery.
ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Authors: Khowaja Sunder Ali , Khuwaja Parus , Dev Kapal , Wang Weizheng , Nkenyereye Lewis
Published: May 2024

ChatGPT is another large language model (LLM) vastly available for the consumers on their devices but due to its performance and ability to converse effectively, it has gained a huge popularity amongst research as well as industrial community. Recently, many studies have been published to show the effectiveness, efficiency, integration, and sentiments of chatGPT and other LLMs. In contrast, this study focuses on the important aspects that are mostly overlooked, i.e. sustainability, privacy, digital divide, and ethics and suggests that not only chatGPT but every subsequent entry in the category of conversational bots should undergo Sustainability, PrivAcy, Digital divide, and Ethics (SPADE) evaluation. This paper discusses in detail the issues and concerns raised over chatGPT in line with aforementioned characteristics. We also discuss the recent EU AI Act briefly in accordance with the SPADE evaluation. We support our hypothesis by some preliminary data collection and visualizations along with hypothesized facts. We also suggest mitigations and recommendations for each of the concerns. Furthermore, we also suggest some policies and recommendations for EU AI policy act concerning ethics, digital divide, and sustainability.
Sliced Wasserstein adversarial training for improving adversarial robustness
Authors: Lee Woojin , Lee Sungyoon , Kim Hoki , Lee Jaewook
Published: May 2024

Recently, deep-learning-based models have achieved impressive performance on tasks that were previously considered to be extremely challenging. However, recent works have shown that various deep learning models are susceptible to adversarial data samples. In this paper, we propose the sliced Wasserstein adversarial training method to encourage the logit distributions of clean and adversarial data to be similar to each other. We capture the dissimilarity between two distributions using the Wasserstein metric and then align distributions using an end-to-end training process. We present the theoretical background of the motivation for our study by providing generalization error bounds for adversarial data samples. We performed experiments on three standard datasets and the results demonstrate that our method is more robust against white box attacks compared to previous methods.
circ_WASF2 regulates ferroptosis by miR-634/ GPX4 signaling in pancreatic cancer
Authors: Liu Tao , Xie Xing-ming , He Ya-peng , Zhang Jia-yao , Mou Jun-ying
Published: May 2024

Purpose

Pancreatic cancer (PC) is one of the most lethal malignant gastrointestinal tumors (GI) characterized by a poor prognosis. Ferroptosis is an emerging programmed cell death that plays an essential role in the progression of various cancers. Ferroptosis is driven by iron-dependent phospholipid peroxidation and is regulated by mitochondrial activity, lipid peroxidation, and reactive oxygen species (ROS). The function and mechanism of ferroptosis in PC need more research.

Methods

The levels of circRNAs, miRNAs, and mRNAs were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Western blot was used for protein detection. CCK8 assays were used to detect cell proliferation. Cell death, lipid peroxidation, ROS, and Fe2+ were detected by indicted kits. Dual-luciferase reporter and RNA pull-down assays were conducted to confirm the interaction between circRNAs, miRNAs, and mRNAs.

Results

In this research, we found that circular RNA hsa_circ_0000003(circ_WASF2) was upregulated in pancreatic cancer cells. The silence of circ_WASF2 inhibited cancer proliferation and increased cell death by increasing ferroptosis accompanied by up-regulation of lipid peroxidation, ROS, and Fe2+. Further studies showed that circ_WASF2 could attenuate ferroptosis by targeting miR-634 and the downstream glutathione peroxidase 4 (GPX4). GPX4 has been well-reported as a central factor in ferroptosis. Our research revealed a new pathway for regulating ferroptosis in PC.

Conclusion

In summary, we have determined that circ_WASF2/miR-634/GPX4 contributed to ferroptosis-induced cell death, and provided a possible therapeutic target in PC.
Cohesion measurements between variables and methods using component-based software systems
Authors: Shipra
Published: May 2024

The practice of leveraging previously created software components to progress new software is identified as component-based software engineering (CBSE). Good software engineering design is the foundation of CBSE principles. The black box approach that underpins CBSE hides the execution of components in nature, and the components communicate with one another using strictly delineated interfaces. Component platforms are shared, which lowers the price of creation. To ascertain a system's complexity, various software metrics are employed. For superiority in software intricacy, coupling would be minimal, and cohesiveness must be high. It is predetermined that coupling should be low and cohesion should be increased for refinement in software complexity. We are identifying the combination of different software systems and improving the methods for doing so with our approach. Proposed: Cohm (cohesion of methods) and Cohv (cohesion of variables) are two cohesion metrics that have been proposed. The cohesiveness metrics in this study have been analytically and empirically evaluated, and a comparison has been made between them. Additionally, an effort was made to give the outcomes of an empirical estimation based on the case study. The T-test is used to determine the consequences of the metrics, and Python is used to validate the metrics. Python or R programming and the Matlab tool are used to determine the relationship between various variables and metrics. Findings: The consequence of the current investigation is very encouraging and might be used to estimate the involvedness of the parts. The proportional analysis of the proposed metrics and various cohesion metrics reveals that the suggested metrics are more cohesive than the present metrics, increasing the likelihood that they can be reused when creating new applications.
Basic Red 46 adsorption studies onto pyrolyzed by-product biomass
Authors: Sahnoun A. Y. , Selatnia A. , Mitu L. , Ayeche R. , Daoud N. , Dahoun-Tchoulak Y.
Published: May 2024

In this study, the objective was to examine the utilization of the pyrolyzed by-products biomass as an adsorbent for extracting the dye Basic Red 46 (BR 46) from a solution. The pyrolyzed by-product containing Pleurotus mutilus biomass was characterized by thermogravimetric analysis (TGA), FTIR and µXRF. Different parameters effects such as, adsorbent dose, solution pH, contact time, temperature and initial dye concentration on the adsorption capacity of the pyrolyzed by-product biomass were examined. The solution was analyzed before and after the adsorption studies. With adsorbent dose of 1 g/L, contact time of 14 min, and solution pH of 7.5, the optimum yield of 88% was achieved. In order to fit the equilibrium data, the Langmuir, Freundlich, Temkin, and Khan isotherm models were used, and in order to fit the kinetics data, the pseudo-first-order, pseudo-second-order, Elovich, and Ritchie models were employed. Statistical analysis such as R2, RMSE,$${\chi }^{2}$$

χ

2

and ARE was used to assess which model has the best fit with the experimental data. The results demonstrated that the experimental equilibrium data are well described by the Langmuir model, and the kinetic studies indicated that the adsorption of BR46 followed the Ritchie model. The greatest BR 46 adsorption capacity determined from experimental equilibrium data was around 135 mg/g at pH = 7.5, adsorbent dosage of 1 g/L. Moreover, thermodynamic analysis has demonstrated that the adsorption process was physical, exothermic, and spontaneous in nature. These results indicated that pyrolyzed by-product biomass might be used as a cheap material to extract textile colors out of aqueous effluents.
Monitoring the spatial evolution of groundwater quality during its diversion in the drinking water supply network in arid areas, case of Bechar city (Algeria Sahara)
Authors: Mebarki Saliha , Kendouci Mohammed Amin , Bendida Ali
Published: May 2024

Climate change has clearly affected the desert city of Bechar, located in southern Algeria, and this miserable situation for the supply of drinking water prompted the authorities to provide capabilities and funds to bring groundwater located 250 km away and transfer it to the city of Bechar. The characterization of these underground waters presents a bicarbonate-magnesian facies according to the diagram of Schöeller and Berkaloff; the representation of the data on the triangular Piper diagram shows that Boussir ground water has the magnesium bicarbonate facies. The calculation of the quality index (GWQI) shows that all samples taken from the boreholes belong to the good quality category. The long distance of diversion of this underground water and the quality of the materials used in the project under a dry desert climate made us carry out the process of monitoring and tracking the quality of the water from the well until it reaches the consumer. The results revealed that all the levels of the physic-chemical parameters do not exceed the WHO portability standards, except that a variation of certain values was observed at the level of the storage tank, this variation due to the mode of filling and the mixing of water in tubular form, without eliminating the effect of water stagnation. If we technically know how to produce high-quality drinking water, we cannot always ensure a safe and sustainable water supply of the same quality in distribution networks and reservoirs; it is from this principle that our article is based in order to reinforce the monitoring role.
Groundwater recharge potential zone modeling in the Wadi Al-Lith Basin, Saudi Arabia
Authors: Kawara Atef Q. , Elsebaie Ibrahim H. , Alnahit Ali O.
Published: May 2024

The management of groundwater resources is crucial in arid and semi-arid regions such as Al-Lith Basin, and therefore, the identification of suitable areas for groundwater recharge is important in solving the problem of water scarcity and ensuring the long-term sustainability of aquifers. In this study, the Analytic Hierarchy Process (AHP) technique, in conjunction with GIS, was applied to locate potential zones for groundwater recharge in the Al-Lith basin. The research methodology includes collecting the essential data, including lineament density, slope, rainfall, drainage density, LU/LC, soil, elevation, and TWI. AHP is used to assign relative weights to different qualities, considering their significance in influencing groundwater recharge. The ArcGIS was employed to process and analyze the weighted layers, which resulted in the creation of a comprehensive map illustrating the potential for groundwater recharge. The study results suggested that the Al-Lith Subbasin has several zones that exhibit different levels of groundwater recharge capability. The results obtained from this study indicated that 12.83% of the basin area has significant groundwater recharge potential zones (GWPZ), ranging from high to very high levels. The groundwater recharge potential zones in the basin are categorized as very poor to poor, covering 19.4% of the area, while the moderate groundwater recharge potential zones represent 67.77% of the basin area. The groundwater protection zones were validated using 19 wells distributed across the basin. The validation findings indicate there is an overlap between the GWPZ classes and the wells in the specified location. Overall, the findings of this study can enhance groundwater resource management and inform policy development for targeted interventions aimed at enhancing groundwater recharge.
Wastewater treatment from a typical multisystem hospital using chemically modified banana peels: Taguchi parametric optimization and characterization
Authors: Popoola Lekan Taofeek , Yusuff Adeyinka Sikiru , Taura Usman , Oladokun Davidway Ireoluwa , Adeyi Abel Adekanmi , Aderibigbe Tajudeen Adejare
Published: May 2024

The study aims to develop an eco-friendly solution for addressing contaminants in hospital wastewater. To achieve this, banana peel, a cost-effective and easily available agricultural waste, was chemically modified using sulfuric acid and sodium hydroxide. The hospital wastewater was analyzed using an Atomic Absorption Spectrometer to identify the presence of heavy metals. The physicochemical properties were measured and compared against the standards set by the World Health Organization (WHO). Scanning electron microscopy and Fourier-transform infrared spectroscopy were used to characterize the chemically modified banana peel. Batch adsorption was conducted with the wastewater using the prepared adsorbent. The effect of contact time, mixing rate, temperature, and adsorbent dosage was examined to know the removal efficiency of the adsorbent. The experimental design incorporates Taguchi OA design to optimize the process. The total heavy metals discovered in the wastewater were As, Cd, Fe, Cu, Ni, Cr, Pb, Mn and Zn. The percentage of Cd, Fe, Cu, Ni, Cr and Pb removed were 79.5%, 87.9%, 56.9%, 89.0%, 88.5% and 93.5%, respectively, at temperature, adsorbent dosage, mixing rate and contact time of 30 °C, 3 g, 700 rpm and 60 min, respectively. The physicochemical properties remain within the acceptable WHO range except the turbidity. At optimum point, the percentage removal of Cd, Fe, Cu, Ni, Cr, Pb and Zn were 64.3%, 80.5%, 51.4%, 82.3%, 72.4%, 86.6% and 72.1%, respectively; while, the conductivity, pH, TDS, and turbidity value were, respectively, 20.57 mS/cm, 6.8, 10.16 mg/l, and 86.31 NTU. Characterization revealed the existence of active functional groups on the adsorbent surface enhancing the hospital wastewater treatment and change in its morphological structure after the treatment was noticed. In conclusion, the modified banana peel was effective for the treatment of hospital wastewater.
Shallow groundwater quality and health risk assessment of fluoride and arsenic in Northwestern Jiangsu Province, China
Authors: Wang Shou , Chen Jing , Zhang Shuxuan , Bai Yanjie , Zhang Xiaoyan , Jiang Wei , Yang Shengyun
Published: May 2024

Assessing groundwater quality is critical to regional water resource conservation and human health safety, especially in areas with co-existence of toxic constituents fluoride (F−) and arsenic (As). In this study, fourteen groundwater samples were collected in Feng County, Northwestern Jiangsu Province to identify dominant contaminants and their spatial distribution and health risk. The composition and variation characteristics of major ions (K+, Na+, Ca2+, Mg2+, Cl−, SO42−, HCO3−, and NO3−) and trace elements (F−, As, and Mn) were analyzed. The hydrochemical results revealed that high F− groundwater was mainly distributed in the northern areas whereas As-riched groundwater was primarily distributed in southern areas. Notably, over 85.7% and 21.4% of the shallow groundwater samples exceeded the drinking water quality standard of 1.5 mg/L for F− and 10 µg/L for As, respectively. Based on the water quality index (WQI) appraisal result, 71.4% of the groundwater in the study area is classified as “poor”, and thus unsuitable for drinking directly. We assessed the human non-carcinogenic health risk of F− (HQFluoride) and As (HQArsenic) and the carcinogenic health risk of As (CRArsenic). The calculated hazard quotient (HQ) for F− indicated nearly all groundwater samples have an unacceptable risk (HQ > 1) for each age group. However, HQArsenic values revealed that 28.6%, 21.4%, 21.4%, and 21.4% of groundwater samples posed potential non-carcinogenic health risks for infants, children, females, and males, respectively. The calculated results of CRArsenic showed that 0%, 21.4%, 28.6%, and 28.6% of groundwater samples posed unacceptable health risks (CR > 1.0 × 10−4) to infants, children, females, and males, respectively. The groundwater irrigation suitability assessment results showed that 21.4% of samples were doubtful to unsuitable for irrigation, and 85.7% owed magnesium hazards. The findings of this study will assist policymakers in formulating proper remedial policies and mitigation strategies to ensure the safety of drinking and irrigation water.
Water physicochemical quality as driver of spatial and temporal patterns of microbial community composition in lake ecosystems
Authors: Loucif Karim , Chenchouni Haroun
Published: May 2024

This study aimed at monitoring and management of the surface water and potentially pathogenic microbes of Lake Tonga (Algeria) with respect to. It characterized the main bacterial diversity patterns of Lake Tonga and predicted from water physicochemical parameters and water quality index (WQI) the distribution of bacterial species and the main indicator groups of faecal water contamination. Water samples were taken monthly at three sampling sites of different water depths. Several physicochemical parameters were measured; of which some were included in computing WQI to characterize the water quality of the lake. Counting, isolation and bacterial identification methods were used to characterize the existing aerobic heterotrophic bacteria. The composition of the microbial community of the waterbody of Lake Tonga included an abundant culturable bacterial flora belonging to several bacterial families and whose specific richness varied between water depths of the sites sampled. Species richness of the bacteria identified phenotypically varied between 7 and 11 per sample. The site with shallow water was the richest in bacterial species, compared to moderate and deep waters. The redundancy analysis showed the main physicochemical drivers of the microbial community composition. Our findings showed that high WQI scores indicated the water quality deterioration which triggered the increase in total load of faecal indicator bacterial groups. This study identified in Lake Tonga an important culturable aerobic bacterial flora whose specific richness and distribution varied spatially following the effects of water physicochemical parameters. Lake Tonga needs an integrated management plan to mitigate human disturbances declining water quality.
A critical review on the effect of silanization on the ceramic membrane distillation (CMD): performance, operational factors, and characterization
Authors: Nayeri Danial , Mousavi Seyyed Alireza
Published: May 2024

This review for the first time aims to investigate the effect of silanization on the ceramic membrane distillation (CMD) as a promising thermally driven separation process. In this regard, the effects of three main factors, namely silane concentration, silane duration, and time as well as the important operating parameters on the process were studied. At the end of this work, future challenges and recommendations in the CMD have also been addressed. The literatures have confirmed that silanization of the CM surface, causes significant changes in the membrane structure in terms of hydrophobicity (water contact angle > 130°), creating different functional groups on the surface and improving the efficiency of the process. The results of previous research woks indicate that the best conditions for the silanization process are possible at silanization time (about 72 h), the number of grafting cycles (1–5 times), and silane concentration (2 or 10 wt%). Concluding the results of various studies shows that the efficiency of the MD for desalination process was high (removal > 98%) under certain conditions (feed input temperature: 70–80 °C and flow rate of 0.3–400 L/h).
Introducing high-order response surface method for improving scour depth prediction downstream of weirs
Authors: Hameed Mohammed Majeed , Khaleel Faidhalrahman , AlOmar Mohamed Khalid , Mohd Razali Siti Fatin , AlSaadi Mohammed Abdulhakim , Al-Ansari Nadhir
Published: May 2024

Scour depth downstream of weirs is considered one of the most important hydraulic problems, which greatly influences the stability of weirs. Recently, artificial intelligence (AI) methods have become increasingly popular in modeling hydraulic variables, especially scour depth, because they can capture nonlinear relationships between input variables and their associated objectives. Despite their importance, these models have problems with hyperparameter tuning in scour depth modeling due to their structures, so algorithms must be used to tune the hyperparameters. Moreover, these algorithms are usually tuned by using the trial-and-error method to select the hyperparameters such as the number of hidden nodes, transfer function, and learning rate, and in this case, the main problem is overfitting during the training phase. To solve these problems, the high-order response surface method (HORSM), an improved version of the response surface method (RSM), is used as an alternative approach for the first time in this study to predict the scour depth. The HORSM model is based on high-order polynomial functions (from two to six) compared with the artificial neural network model (ANN). The findings indicate that the fifth order of the HORSM polynomial function yields the most precise predictions, with a higher coefficient of determination (R2) of 0.912 and Willmott Index (WI) of 0.972 compared to the values obtained using ANN (R2 = 0.886 and WI = 0.927). Moreover, the accuracy of the predictions is represented by a reduction of the mean square error by up to 44.17 and 29.01% compared to the classical RSM and ANN, respectively. The suggested model established an excellent correlation and accuracy with experimental values.
Integrity assessment of shale gas wells in Changning Block based on hierarchical analysis method
Authors: Wei Luo , Fu Chenlong , Li Wenzhe , Gao Yanzhe , Guo Lixue , Liu Yangyang , Liang Fuyuan , Jia Aoyin , Guo Quanying
Published: May 2024

The integrity of shale gas wells is crucial in ensuring safety and efficiency throughout the development process. Such integrity spans the entire process of drilling and fracturing horizontal wells and is an essential indicator for ensuring safe and stable production throughout the lifespan of the well. This study investigates methods for assessing the integrity of shale gas wells by employing the analytic hierarchy process combined with experimental data to establish evaluation criteria and weights. The assessment is carried out specifically on shale gas wells in Changning Block. Results indicate that the integrity of these shale gas wells is influenced by various factors, such as drilling and fracturing processes. Moreover, the integrity assessment of indicators such as oil layer casing/technical casing, liquid carrying capacity, and tube column deformation is relatively low, indicating a need for enhanced monitoring and management. The comprehensive evaluation results indicate that, overall, the integrity rating of shale gas wells is generally considered “common,” but some potential safety hazards still remain that require timely attention and resolution. Case analysis reveals varying levels of integrity risks in shale gas wells. Case 1’s score of 93.51 warrants attention but is still deemed generally safe. However, Case 2’s score of 73.89 indicates a disaster level, emphasizing urgent intervention needs. Critical factors such as pressure, cementation quality, and corrosion demand proactive management for safe, sustainable operations.
Using three-dimensional model-based tumour volume change to predict the symptom improvement in patients with renal cell cancer
Authors: Fu ChengWei , Dong JinKai , Zhang JingYun , Li XueChao , Zuo ShiDong , Zhang HongTao , Gao Shen , Chen LiJun
Published: May 2024

In our recent study, we explored the efficacy of three-dimensional (3D) measurement of tumor volume in predicting the improvement of quality of life (QoL) in patients suffering from renal cell cancer (RCC), who were treated with axitinib and anti-PD-L1 antibodies. This study encompassed 18 RCC patients, including 10 men and 8 women, with an average age of 56.83 ± 9.94 years. By utilizing 3D Slicer software, we analyzed pre- and post-treatment CT scans to assess changes in tumor volume. Patients' QoL was evaluated through the FKSI–DRS questionnaire. Our findings revealed that 3D models for all patients were successfully created, and there was a moderate agreement between treatment response classifications based on RECIST 1.1 criteria and volumetric analysis (kappa = 0.556, p = 0.001). Notably, nine patients reported a clinically meaningful improvement in QoL following the treatment. Interestingly, the change in tumor volume as indicated by the 3D model showed a higher area under the curve in predicting QoL improvement compared to the change in diameter measured by CT, although this difference was not statistically significant (z = 0.593, p = 0.553). Furthermore, a multivariable analysis identified the change in tumor volume based on the 3D model as an independent predictor of QoL improvement (odds ratio = 1.073, 95% CI 1.002–1.149, p = 0.045).In conclusion, our study suggests that the change in tumor volume measured by a 3D model may be a more effective predictor of symptom improvement in RCC patients than traditional CT-based diameter measurements. This offers a novel approach for assessing treatment response and patient well-being, presenting a significant advancement in the field of RCC treatment.
International doctoral students’ identity formulations through their orientations to their children’s languages as both stressors and assets
Authors: Filipi Anna
Published: May 2024

This study contributes to research on the doctoral experience of international students who are parents, and for whom the temporary experience of living elsewhere is both a challenge and a resource for all members of the family. The study investigated how a group of these students positioned themselves to their children’s English and home language during their study abroad. A group of 12 international doctoral students from one Australian university and one primary school teacher took part in the study. The doctoral students were from a number of non-anglophone countries. Membership Categorisation Analysis was used to examine the identity categories invoked during focus group discussions. The categories bilingual, student, parent, tutor and spouse, the category devices family, study, nationality/language, time and location, and the attributes responsibility and inadequacy that emerged in the analysis, suggest that language issues are important considerations for international students with families, and need focused attention.
Using interpersonal meaning making resources to build relationships and improve engagement in online teacher professional learning
Authors: Adlington Rachael , Quinn Frances , Charteris Jennifer , Rizk Nadya , Volpe Catherine Rita
Published: May 2024

As professional learning and development (PLD) for teachers moves online, it is increasingly important to consider what constitutes effective provision. While models of effective PLD abound, online PLD faces challenges to participant engagement. In particular, the critical need to build and maintain relationships in professional learning is complicated by the geographic and temporal distribution of online participants as well as the nuances of the technology in use. We argue that online PLD occurs in collaborative text-spaces within learning management systems, social media spaces and their attendant learning objects such as forums. As such, persistent challenges to engagement in online PLD may be met by considering the language-based interpersonal affordances of these text-spaces. We employ a small-scale corpus study and appraisal analysis to demonstrate the value of Systemic Functional Linguistics in addressing the challenges of online learning, particularly how the meaning making resources of the interpersonal metafunction can be used to improve participant engagement.
Australia’s ECEC workforce pipeline: Who and how many are pursuing further qualifications?
Authors: McKinlay Sharon , Thorpe Karen , Whiteford Chrystal , Bentley Laura , Irvine Susan
Published: May 2024

The significant shortfall of staff in the early childhood education and care (ECEC) workforce identifies an imperative not only to recruit educators but to support ongoing qualifications and career advancement of those within. Indeed, Shaping Our Future, Australia’s workforce strategy for 2022–2031 identifies qualifications and career development as key focus areas. Taking this imperative, we asked Who? and How many? within the Australian workforce are committed to ongoing study? Analysing a national survey (N = 1291), we examine characteristics of those studying (20.5%) intending (52.3%) or wavering about further study (18.7%). Study and study intention were associated with being younger and at early career-stage, identifying a positive message for career growth. Those who were older or working part-time were less certain about ongoing training. Those with long tenure in ECEC had higher rates of studying for non-ECEC qualifications. Implications for qualification pipeline, career pathways and workforce strategy are discussed.
A new canonical affine bracket formulation of Hamiltonian classical field theories of first order
Authors: Gay-Balmaz François , Marrero Juan C. , Martínez Alba Nicolás
Published: May 2024

It has been a long standing question how to extend, in the finite-dimensional setting, the canonical Poisson bracket formulation from classical mechanics to classical field theories, in a completely general, intrinsic, and canonical way. In this paper, we provide an answer to this question by presenting a new completely canonical bracket formulation of Hamiltonian Classical Field Theories of first order on an arbitrary configuration bundle. It is obtained via the construction of the appropriate field-theoretic analogues of the Hamiltonian vector field and of the space of observables, via the introduction of a suitable canonical Lie algebra structure on the space of currents (the observables in field theories). This Lie algebra structure is shown to have a representation on the affine space of Hamiltonian sections, which yields an affine analogue to the Jacobi identity for our bracket. The construction is analogous to the canonical Poisson formulation of Hamiltonian systems although the nature of our formulation is linear-affine and not bilinear as the standard Poisson bracket. This is consistent with the fact that the space of currents and Hamiltonian sections are respectively, linear and affine. Our setting is illustrated with some examples including Continuum Mechanics and Yang–Mills theory.
Aqueous Extracts of Cannabis sativa: Cytotoxicity and Effects on Angiogenesis, Oxidative Stress and Nitric Oxide Production
Authors: Erhabor Joseph Omorogiuwa , Rademan Sunelle , Erukainure Ochuko Lucky , Matsabisa Motlalepula Gilbert
Published: May 2024

Cannabis sativa has been used in local medicine to manage cancer, ache, inflammation, diabetes, and other conditions. The aqueous extract of Cannabis sativa leaves collected from two geographical locations (South Africa, EC and Lesotho, LS) was assessed for their potential against angiogenesis, nitric oxide (NO) production, oxidative stress and cytotoxicity. The EC extract showed better angiogenesis and vascular endothelial growth factor suppression than the LS extract at 20 and 100 µg/mL. EC and LS displayed their highest NO inhibitory effects (91 and 76%) at the most negligible 1.6 µg/mL concentration. The glutathione and Catalase levels increased significantly in the MCF-7 cells following administration with EC and LS. In contrast, a decrease in the malondialdehyde (MDA) level in the cells' supernatant was found compared to the untreated cells. High-performance liquid chromatography analysis reveals the presence of cannabidiol (CBD) and tetrahydrocannabinoilic acid (THCA), with EC and LS having a considerable number of similar peaks. The extracts were relatively non-cytotoxic within the concentration range evaluated (0.78125 -100–µg/mL), though selective effects on cell survival at some concentrations were observed. The study provides information to support the extensive folkloric use of the aqueous extract of C. sativa in cancer and other associated ailments, as well as diseases linked to oxidative stress. Studies on the aqueous extract using animal models or other relevant in vivo models are recommended.
Secondary osteoporosis prevention: three-year outcomes from a Fracture Liaison Service in elderly hip fracture patients
Authors: González-Quevedo David , Rubia-Ortega Carolina , Sánchez-Delgado Adriana , Moriel-Garceso Diego , Sánchez-Siles Juan-Manuel , Bravo-Bardají Manuel , García-de-Quevedo David , Tamimi Iskandar
Published: May 2024

Background

Hip fractures are the most serious fragility fractures due to their associated disability, higher hospitalization costs and high mortality rates. Fracture Liaison Service (FLS) programs have enhanced the management of osteoporosis-related fractures and have shown their clinical effectiveness.

Aims

To analyze the effect of the implementation of a FLS model of care over the survival and mortality rates following a hip fracture.

Methods

We conducted a prospective cohort study on patients over 60 years of age who suffered a hip fracture before and after the implementation of the FLS in our center (between January 2016 and December 2019). Patients were followed for three years after the index date. Mortality, complications and refracture rates were compared between the two groups using a Multivariate Cox proportional hazard model.

Results

A total of 1366 patients were included in this study (353 before FLS implementation and 1013 after FLS implementation). Anti-osteoporotic drugs were more frequently prescribed after FLS implementation (79.3% vs 12.5%; p < 0.01) and there was an increase in adherence to treatment (51.7% vs 30.2%; p < 0.01). A total of 413 (40.8%) patients after FLS implementation and 141 (39.9%) individuals before (p = 0.47) died during the three-years follow-up period. A second fracture occurred in 101 (10.0%) patients after FLS implementation and 37 (10.5%) individuals before (p = 0.78). Patients after the implementation of the FLS protocol had a lower all cause one-year mortality [adjusted Hazard Ratio (HR) 0.74 (0.57–0.94)] and a decreased risk of suffering a second osteoporotic fracture [adjusted HR 0.54 (0.39–0.75) in males and adjusted HR 0.46 (0.30–0.71) in females].

Conclusions

The implementation of a FLS protocol was associated with a lower all-cause one-year mortality rate and a higher survivorship in elderly hip fracture patients. However, no three-year mortality rate differences were observed between the two groups. We also found a reduction in the complication and second-fracture rates.
Coping with unforeseen circumstances: the COVID-19 crisis and bus contract renegotiation in Sweden
Authors: Alexandersson Gunnar , Hultén Staffan , Henriksson Lars
Published: May 2024

In principle, competitively tendered contracts in Swedish public bus transport are not supposed to be renegotiated during the contract period. In practice, it happens quite frequently. The need for renegotiations became evident during the COVID-19 crisis. This external shock to the system was unusually strong. Demand for bus services dropped abruptly, affecting revenues of procuring authorities and, depending on contract type, also bus operators. To make the situation even worse, costs typically remained constant, as frequent services were supposed to be upheld to avoid the spreading of the virus in crowded buses. Contract renegotiations during the COVID-19 crisis were clearly caused by unexpected exogenous events. Contracts with passenger incentives, linking a substantial part of compensation to the number of passengers, have been more likely to be renegotiated than gross-cost contracts, which were easier to adjust to the drop in demand. Typically, renegotiations were triggered by operators. While being a pragmatically rational response to an extreme situation, the renegotiations and their outcome may not in all cases have been compliant with the legal framework for public procurements, even when taking into account the exemptions made possible by the framework. In cases where passenger incentive contracts have been transformed into gross-cost contracts it could be argued that the nature of the contract has been changed. A new tender should then probably have been performed instead, although this has not been tried in court. The COVID-19 crisis could have long-term impact on contracts and procurements in the industry, affecting how effective competition will be in future tenders. For now, gross-cost contracts seem to be the norm, and it is possible that passenger-incentive contracts will become less common overall. One way to handle unexpected events with profound impact could be to include so-called threat-points that trigger renegotiation of a contract.
The effect of 2020 lockdown on bank internal ratings
Authors: Calcagnini Giorgio , Favaretto Federico , Giombini Germana
Published: May 2024

We investigate how banks’ internal ratings were affected by the first lockdown shock in Italy (March-June 2020). Using monthly proprietary data from a regional bank between October 2019 and January 2022, and adding credit registry data and balance sheet data of client firms, we estimate the lockdown effect on the change in six different ratings assigned by the bank to client firms in June 2020 and December 2020. We obtain three main results. First, controlling for both supply and demand factors, the lockdown is associated with a decline in four of the six ratings. Second, the lockdown effect also depends on specific firm characteristics, i.e. the lockdown effect appears to be mitigated in the presence of high turnover or for firms belonging to essential sectors. However, these interaction effects do not hold for all ratings, suggesting that each type of rating is influenced by different firm characteristics. Third, once we consider a full interaction model, the lockdown effect disappears in the medium term.
Grounding Fault Diagnosis of Running Rails Based on a Multi-scale One-Dimensional Convolutional Neural Network in a DC Subway System
Authors: Du Guifu , Liu Na , Zhang Dongliang , Li Qiaoyue , Sun Jianxiang , Jiang Xingxing , Zhu Zhongkui
Published: May 2024

Running rails are the return conductors of the traction current in DC subway systems, which should be insulated from the earth. Due to the large length of the line, as well as the humidity and metal dust in the tunnel, grounding fault of the running rails usually occurs, which will increase stray current (SC) leakage and endanger power supply safety. In this paper, a method of grounding fault diagnosis of running rails based on a multi-scale one-dimensional convolutional neural network (MS-1DCNN) is proposed. Firstly, a platform for the dynamic distribution of SC and rail potential (RP) with grounding faults existing in the running rails is established, which generates the dynamic RP data with various grounding faults. Secondly, a grounding fault diagnostic method of running rails based on MS-1DCNN is proposed, so as to realize the effective identification of ground fault types in subway systems. Thirdly, with the proposed diagnostic method, the datasets under two operating conditions of a single train and two trains are tested; a comparison test between MS-1DCNN and the 1D convolutional neural network (1DCNN) is carried out, and the effectiveness of the proposed method is verified. Results demonstrate that the proposed model can significantly improve the ground fault diagnostic accuracy of running rails. The dynamic RP simulation platform for trains established in this paper lays a theoretical foundation for the grounding fault research of running rail. Moreover, the deep learning method is proposed for the first time to diagnose the grounding fault of running rail, and the high diagnostic accuracy is obtained, which is of great significance for the safe and stable operation of the subway line.
A hybrid congestion control scheme for Named Data Networking via SDN
Authors: Ma Tianxiang , Pang Xianhai , Zeng Siming , Fan Hui , Luo Peng , Jia Boyan , Hou Yajun
Published: May 2024

As the mainstream congestion control in Named Data Networking (NDN), the hybrid control mechanism integrates the advantages of consumer and router control mechanisms. However, The concurrent control by both consumers and routers may results in degraded data transmission performance. Therefore, we propose a novel hybrid congestion control scheme for NDN, called ndnSieve. By using the characteristics of Software Defined Network (SDN) that can achieve global network information acquisition as well as global resource scheduling, ndnSieve manages to invoke consumer and router control mechanisms based on different congestion states in the network respectively and achieves the synergy between two kinds of mechanisms. The results of experiment demonstrate that, compared with existing works, ndnSieve has the lowest average round-trip time, relatively high level of throughput and fairness, effectively improving the Quality of Service (QoS) of the network.
Multipliers and equivalence of functions, spaces, and operators
Authors: Câmara M. C. , Carteiro C. , Ross W. T.
Published: May 2024

By interpreting the well-known Brown–Halmos theorem for Toeplitz operators in terms of multipliers, we formulate a Brown–Halmos analogue for the product of generalized Toeplitz operators, defined as compressions of multiplication operators to closed subspaces of $$L^2({\mathbb {T}})$$

L
2

(
T
)

. We use this to define equivalences between two operators in that class by means of multipliers between the spaces where they act. Necessary and sufficient conditions for such an equivalence to be unitary or a similarity are established. The results are applied to Toeplitz and Hankel operators, truncated Toeplitz operators, and dual truncated Toeplitz operators.
The role of physical medicine and rehabilitation in the management of a pediatric female with Möbius syndrome: a case report
Authors: Al-Ajlouni Yazan A. , Lihaz Maysa , Islam Mohammad
Published: May 2024

This case report presents a comprehensive analysis of a 4-year-old female patient with Möbius syndrome and associated conditions while emphasizing the role of pediatric physical medicine and rehabilitation (PM&R) in managing her complex medical profile. The patient’s clinical presentation encompassed congenital facial palsy, ocular abduction impairments, developmental delay, syndactyly, clubfoot, and G-tube dependence. The diagnosis was based on characteristic clinical criteria of Möbius syndrome. A multifaceted PM&R approach was employed, involving tailored physical therapy interventions targeting head control, sensory integration, trunk rotation, and positioning techniques. Concurrently, occupational therapy strategies enhanced her functional abilities and empowered caregivers with home-based support techniques. Long-term management considerations highlighted the potential of home-based and school-based therapies, emphasizing multidisciplinary collaboration for sustained progress. The case report underscores the effectiveness of PM&R in addressing the intricate challenges of Möbius syndrome and related conditions, offering insights for future clinical practice and research.
Meta-optimization of resources on quantum computers
Authors: Mohammad Ijaz Ahamed , Pivoluska Matej , Plesch Martin
Published: May 2024

The current state of quantum computing is commonly described as the Noisy Intermediate-Scale Quantum era. Available computers contain a few dozens of qubits and can perform a few dozens of operations before the inevitable noise erases all information encoded in the calculation. Even if the technology advances fast within the next years, any use of quantum computers will be limited to short and simple tasks, serving as subroutines of more complex classical procedures. Even for these applications the resource efficiency, measured in the number of quantum computer runs, will be a key parameter. Here we suggest a general meta-optimization procedure for hybrid quantum-classical algorithms that allows finding the optimal approach with limited quantum resources. This method optimizes the usage of resources of an existing method by testing its capabilities and setting the optimal resource utilization. We demonstrate this procedure on a specific example of variational quantum algorithm used to find the ground state energy of a hydrogen molecule.
The impact of sunlight exposure on brain structural markers in the UK Biobank
Authors: Li Huihui , Cui Fusheng , Wang Tong , Wang Weijing , Zhang Dongfeng
Published: May 2024

Sunlight is closely intertwined with daily life. It remains unclear whether there are associations between sunlight exposure and brain structural markers. General linear regression analysis was used to compare the differences in brain structural markers among different sunlight exposure time groups. Stratification analyses were performed based on sex, age, and diseases (hypertension, stroke, diabetes). Restricted cubic spline was performed to examine the dose–response relationship between natural sunlight exposure and brain structural markers, with further stratification by season. A negative association of sunlight exposure time with brain structural markers was found in the upper tertile compared to the lower tertile. Prolonged natural sunlight exposure was associated with the volumes of total brain (β: − 0.051, P < 0.001), white matter (β: − 0.031, P = 0.023), gray matter (β: − 0.067, P < 0.001), and white matter hyperintensities (β: 0.059, P < 0.001). These associations were more pronounced in males and individuals under the age of 60. The results of the restricted cubic spline analysis showed a nonlinear relationship between sunlight exposure and brain structural markers, with the direction changing around 2 h of sunlight exposure. This study demonstrates that prolonged exposure to natural sunlight is associated with brain structural markers change.