Additional Tests Research Articles

Smart walking aids represent a growing trend in assistive technologies designed to support individuals with mobility impairments in their daily lives and rehabilitation. Previous research has introduced sensor-integrated systems that provide user feedback to enhance safety and functional mobility. However, a comprehensive overview of their technological and functional characteristics is lacking. To address this gap, this scoping review systematically mapped the current state of research in sensor-based walking aids, focusing on device types, sensor technologies, application contexts, target populations, and reported outcomes. In addition, integrated artificial intelligence (AI)-based approaches for functional support and health monitoring were examined. Following PRISMA-ScR guidelines, 35 peer-reviewed articles were identified from three databases: ACM Digital Library, IEEE Xplore, and Web of Science. Extracted data were thematically analyzed and synthesized across device types (e.g., walking canes, crutches, walkers, rollators) and use cases, including gait training, fall prevention, and daily support. Findings show that, while many prototypes show promising features, few have been evaluated in clinical settings or over extended periods. A lack of standardized methods for sensor location assessment, often the superficial implementation of feedback modalities, and limited integration with other assistive technologies were identified. In addition, system validation and user testing lack consensus, with few long-term studies and often incomplete demographic data. Diversity in data communication approaches and the heterogeneous use of AI algorithms were also notable. The review highlights key challenges and research opportunities to guide the future development of intelligent, user-centered mobility systems.

Associations of hepatitis C virus (HCV) antibody positivity with opioid, stimulant, and polysubstance injection among people who inject drugs (PWID) in rural U.S. communities.

Antibody-drug conjugates (ADCs) have revolutionized the field of cancer treatment in the era of precision medicine due to their ability to precisely target cancer cells and release highly effective drugs. Nevertheless, the rational design and discovery of ADCs remain challenging because the relationship between their quintuple structures and activities is difficult to explore and understand. To address this issue, we first introduce a unified deep learning framework called ADCNet to explore such relationship and help design potential ADCs. The ADCNet highly integrates the protein representation learning language model ESM-2 and small-molecule representation learning language model functional group-based bidirectional encoder representations from transformers to achieve activity prediction through learning meaningful features from antigen and antibody protein sequences of ADC, SMILES strings of linker and payload, and drug-antibody ratio (DAR) value. Based on a carefully designed and manually tailored ADC data set, extensive evaluation results reveal that ADCNet performs best on the test set compared to baseline machine learning models across all evaluation metrics. For example, it achieves an average prediction accuracy of 87.12%, a balanced accuracy of 0.8689, and an area under receiver operating characteristic curve of 0.9293 on the test set. In addition, cross-validation, ablation experiments, and external independent testing results further prove the stability, advancement, and robustness of the ADCNet architecture. For the convenience of the community, we develop the first online platform (https://ADCNet.idruglab.cn) for the prediction of ADCs activity based on the optimal ADCNet model, and the source code is publicly available at https://github.com/idrugLab/ADCNet.

The current greenhouse gas accounting rules for reporting emissions associated with electricity consumption (known as ‘scope 2’ emissions) have been criticised for failing to differentiate between impactful and non-impactful actions, and for producing inaccurate value chain inventories. One proposed solution to these problems is to introduce an additionality test to demonstrate that there is a causal relationship between a reporting company and the emissions rate that it reports. However, few accounting proposals provide detailed information on how to test for additionality. This paper aims to contribute to discussions on this issue by identifying the range of existing additionality tests that could be used in this context and the results reveal nine relevant types of additionality test. For each type, we discuss the rationale behind it, list illustrative examples, and identify challenges related to applying the test. As two novel contributions, this paper (1) identifies cases where additionality tests have already been applied to electricity attribute procurement and reporting, and (2) examines a number of concepts and principles for selecting appropriate tests, e.g. balancing incidence of false positives and negatives, with specific reference to scope 2. Although this paper is focused on scope 2 market-based instruments, the identified tests and our discussions of them may also be useful for implementing additionality requirements for other emerging environmental attribute markets.

This study aimed to evaluate the psychometric characteristics of the Turkish version of the "Stress Scale for Siblings of Childhood Cancer Patients (SCCP)". This study was conducted with 273 siblings aged 11-16 of childhood cancer patients (SCCPs) who were treated in a hospital in the Black Sea Region of Türkiye between March 2022 and April 2024. Data were collected with "The Sociodemographic Information Form" and "SCCP". The data were examined through descriptive statistics, as well as exploratory and confirmatory factor analyzes. The SCCP Turkish version is a valid and reliable scale consisting of 27 items and six sub-dimensions. The SCCP Turkish version explained 77.676% of the total variance. The SCCP Turkish version was found to be summable according to Tukey's test of additivity (p = 0.334), and the test-retest reliability of the scale was r = 0.864 (p < 0.05). This study indicate that the Turkish version of the SCCP is a valid and reliable instrument for evaluating stress levels in siblings aged 11 to 16. With SCCP, nurses can determine the stress levels of SCCPs and contribute to the planning of necessary interventions to cope with stress.

Purchase dependent calf rearing systems, such as the white veal industry, systematically rely on antimicrobial mass medication (metaphylaxis) to counter respiratory tract infections. Despite mounting criticism, the industry fears that without metaphylaxis, mortality would drastically increase. This randomized clinical trial aimed to compare the efficacy of a quick thoracic ultrasonography (qTUS) individualized treatment length between oxytetracycline (OTC) and florfenicol (FF). Regression of maximum consolidation depth <1 cm was used as a criterion for cure and to stop antimicrobial treatment. Additionally, the study assessed the associations of consolidation depth at treatment initiation with cure and treatment duration. The trial involved 320 veal calves, randomly assigned into one of 2 groups: one receiving OTC (n = 160) and the other FF (n = 160) on d 1 (2-d metaphylaxis). Clinical scoring and qTUS were done on d 1 and every 48 h for a 10-d period. After d 1, only calves with consolidations ≥1cm were given further treatment. On each time point, maximum consolidation depth was used to categorize calves into 4 qTUS categories: healthy (no consolidation), mild pneumonia (consolidation <1 cm), moderate pneumonia (consolidation 1-3 cm) and severe pneumonia (consolidation ≥3 cm). Cure, treatment duration and the number of antimicrobial dosages (NAD) were compared between treatment groups. In addition, pathogen identification and antimicrobial susceptibility testing was performed on isolates from nonendoscopic broncho-alveolar lavage fluid. On d 1, 30.0% (96/320) of the calves had consolidation ≥1cm, which increased to 50.9% (162/318) by d 9. After single metaphylactic treatment, cure was 20.9% (9/43) and 20.9% (9/43) in the OTC and FF group, respectively. Calves with severe pneumonia had lower odds to be cured after first treatment than calves with moderate pneumonia (odds ratio = 0.17; 95% CI: 0.04-0.63). By d 9, final cure of the initial cases was 27.9% in both the OTC and FF groups. In both groups, cure was similar at all observation points. Overall, final cure of all calves with either moderate or severe pneumonia during the trial was 41.2% (52/102) and 19.0% (12/63), respectively. Median (Med) treatment duration was 4 d (interquartile range [IQR] = 2-6; minimum [Min] = 2; maximum [Max] = 8) and was similar in both treatment groups. Treatment duration for calves with moderate pneumonia (Med = 6; IQR = 4-6; Min = 2; Max = 8) was lower than the median treatment duration of calves with severe pneumonia (Med = 8; IQR = 4-8; Min = 2; Max = 8). When compared with calves with mild pneumonia on d 1, calves with moderate and severe pneumonia had significantly longer treatment durations. In this study, cure was low and not different between both antimicrobials. Categorizing calves based on consolidation depth appears useful as both cure and treatment duration were different for the mild, moderate, and severe groups.

In this study, the homogeneous carboxylation of potassium, sodium, and lithium phenolates in DMSO solution at 100 °C by the Kolbe-Schmitt reaction was investigated. The impact of water, phenolate concentration, and cation nature on the yield of products and reaction selectivity was demonstrated. Based on the patterns observed, it was concluded that a complex cluster mechanism governs the carboxylation reaction in the solution. The use of a homogeneous reaction medium allowed for convenient testing of various additives to assess their impact on the reaction. Basic additives such as sodium salts of mesitol, tert-butylcalix[4]arene, sodium isopropyl, and tert-butyl cabonates were found to enhance the reaction, increasing the yield of hydroxybenzoic acids by 20% (to 61.6%). The main product in the DMSO solution was identified as 4-hydroxybenzoic acid, in contrast to the classical Kolbe-Schmitt method which typically yields 2-hydroxybenzoic (salicylic) acid. The use of 13C NMR spectroscopy enabled the observation of a "carbonate complex" in the solution for the first time, with the carbonate carbon displaying a chemical shift value of 142 ppm, an unusual finding for stable carbonates, and located between the signals of free dissolved CO2 and carboxylate derivatives.

Internal combustion engines (ICEs) currently account for approximately 25% of global power generation. Notably, this technology still plays a crucial role in a large segment of the transportation sector. In this editorial, a short overview of the latest developments and current research trends related to internal combustion engines is presented. Furthermore, the 11 contributions of this Special Issue are introduced. They cover three main topics: the use of new fuels for internal combustion engines for both automotive and railway applications; testing of additives for ICEs fed with conventional fuels; and CFD simulation applied to the analysis and design of ICE components.

The study used a methodological design to adapt a Turkish translation and validate the Bolton Compassion Strengths Indicators scale. The sample of the study consisted of 500 nursing students. Partial least squares structural equation modelling was used to analyze the construct and internal validiy. The values of average variance explained were analyzed for convergent validity. Tukey's test of additivity examined the additivity, and Hotelling's T2 test examined the mean difference between items. Internal consistency and test-retest reliability were ensured for reliability. Test and retest scores were compared by applying the paired samples t-test and Wilcoxon test, and the fit was analyzed through the intra-class correlation coefficient. The Turkish version of the scale consisted of 34 items and 8 subscales. The Cronbach's alpha coefficient of the overall scale was 0.954. The scale was highly reliable and displayed psychometric solid properties. It has been determined that the Turkish version of the Bolton Compassion Strengths Indicators scale is a comprehensive, easy-to-understand measurement tool with a broad perspective that can be safely applied to future nurse candidate students. The scale has been evaluated as a reliable measurement tool that can provide cross-cultural measurement.

SUMMARY This study examines whether the key audit matters (KAMs) disclosed in expanded audit reports as a part of recent regulatory reforms are informative for investors in an emerging economy setting. Using the recent adoption of expanded audit reports for firms listed exclusively in Mainland China, we find robust evidence that the abnormal trading volume and earnings response coefficients are higher and that stock price synchronicity is lower during the postadoption than preadoption period. In additional tests, we find evidence that KAMs are more informative for non-state-owned enterprises, smaller firms, and firms with a smaller analyst following. Finally, we find that investors respond to the characteristics of KAM disclosures, providing corroborative evidence of the informativeness of these disclosures. Overall, our study provides systematic evidence that KAMs are incrementally informative for investors in an emerging economy. Data Availability: The data are available from the public sources cited in the text. JEL Classifications: M41; M42; M48.

ObjectiveThis study is designed to explore the potential causal relationship between psoriasis and psoriatic arthritis (PsA) while investigating the genetic basis shared by these inflammatory diseases.MethodsSignificant single nucleotide polymorphisms (SNPs) associated with UC, psoriasis, and PsA were selected as genetic instrumental variables using Genome‐Wide Association Study (GWAS) datasets. Additionally, Mendelian randomization (MR) methods, including inverse‐variance weighting (IVW), MR‐Egger regression, and Weighted Median (WME), were utilized to evaluate the causal relationships between these diseases. Moreover, sensitivity analysis and heterogeneity testing were conducted to validate the stability of the results.ResultsA total of 123 significant SNPs associated with psoriasis, PsA, and UC were identified as genetic instrumental variables based on GWAS datasets. The analysis revealed a 36% increased risk of UC with psoriasis (odds ratio [OR] = 1.350, 95% confidence interval [CI] = 1.065‐1.729, P = 0.012) and a 32.9% increased risk of UC with PsA (OR = 1.329, 95% CI = 1.176‐1.592, P < 0.001). Further analysis showed a 43.5% increased risk of psoriasis with UC (OR = 1.435, 95% CI = 1.274‐1.831, P < 0.001) and a 45.8% increased risk of PsA with UC (OR = 1.458, 95% CI = 1.166‐1.822, P = 0.0013). In addition, sensitivity analysis and heterogeneity testing demonstrated the high stability of these results. Particularly, neither MR‐Egger regression analysis nor leave‐one‐out analysis revealed significant heterogeneity or pleiotropy bias, indicating the reliability of these causal estimates. Moreover, the use of the MR‐PRESSO further confirmed the positive correlation between psoriasis and UC, and the corrected estimates remained consistent with IVW analysis results after excluding potential outlier SNPs, enhancing the credibility of the analysis.ConclusionsThis study strengthens the understanding of the genetic and causal relationships among UC, psoriasis, and PsA through GWAS and MR methods, revealing the genetic basis they may share. These findings not only provide a novel perspective on the comorbidity mechanisms of these diseases but also offer a valuable reference for the development of future treatment strategies and intervention measures.

Triphenylamine based oxime ester photoinitiator for LED-induced free radical photopolymerization and 3D printing

In Turkey and other collectivist cultures, child-rearing is a communal effort provided by multiple family members, especially female relatives such as mothers-in-law, aunts, and sisters. Environments with excessively controlling social factors can adversely affect their maternal roles. This study was conducted to develop a measurement tool for determining postpartum excessive social support. This is a scale development and psychometric evaluation study. In the study, a draft of the Postpartum Excessive Social Support Scale (PESSS) was created, subsequently submitted to expert opinion, and administered to mothers in the postpartum period of 1 to 6 weeks online between March and December 2023 (n = 440). A factor analysis (including explanatory factor analysis [EFA] and confirmatory factor analysis) was conducted to determine the construct validity of the scale, while Cronbach's alpha was examined to establish its reliability. Response bias (Hotelling T2) and additivity (Tukey's test of additivity) of the scale were also determined in the study. For the content validity of the scale, 10 experts from the field of midwifery were consulted (content validity index [CVI] = 0.80). As a result of the EFA, Kaiser-Meyer-Olkin value was found as 0.916. Through factor analysis using the direct oblimin rotation technique, a four-factor structure was identified for the scale, explaining 64.197% of the total variance (social pressure, effect of environmental factors on paternal role, effect of environmental factors on maternal role, and barriers in mother-infant interaction). The internal reliability coefficient of the scale was highly reliable (Cronbach's alpha = 0.936). There was no response bias in the scale (Hotelling's T2 = 433.558, p < .001) and it was additive (Tukey's Non-additivity = 0.000, p < .001). The PESSS is a 20-item scale measuring excessive social support between 1 and 6 weeks postpartum. The PESSS serves as a guiding tool for health care professionals to identify excessive environmental pressure hindering mothers' maternal role and to provide care accordingly. In this context, health care professionals can readily utilize the PESSS in routine postpartum assessments for mothers.

Accurate medical image segmentation is an essential part of the medical image analysis process that provides detailed quantitative metrics. In recent years, extensions of classical networks such as UNet have achieved state-of-the-art performance on medical image segmentation tasks. However, the high model complexity of these networks limits their applicability to devices with constrained computational resources. To alleviate this problem, we propose a shallow hierarchical Transformer for medical image segmentation, called SHFormer. By decreasing the number of transformer blocks utilized, the model complexity of SHFormer can be reduced to an acceptable level. To improve the learned attention while keeping the structure lightweight, we propose a spatial-channel connection module. This module separately learns attention in the spatial and channel dimensions of the feature while interconnecting them to produce more focused attention. To keep the decoder lightweight, the MLP-D module is proposed to progressively fuse multi-scale features in which channels are aligned using Multi-Layer Perceptron (MLP) and spatial information is fused by convolutional blocks. We first validated the performance of SHFormer on the ISIC-2018 dataset. Compared to the latest network, SHFormer exhibits comparable performance with 15 times fewer parameters, 30 times lower computational complexity and 5 times higher inference efficiency. To test the generalizability of SHFormer, we introduced the polyp dataset for additional testing. SHFormer achieves comparable segmentation accuracy to the latest network while having lower computational overhead.

Biomedical image segmentation of organs, tissues and lesions has gained increasing attention in clinical treatment planning and navigation, which involves the exploration of two-dimensional (2D) and three-dimensional (3D) contexts in the biomedical image. Compared to 2D methods, 3D methods pay more attention to inter-slice correlations, which offer additional spatial information for image segmentation. An organ or tumor has a 3D structure that can be observed from three directions. Previous studies focus only on the vertical axis, limiting the understanding of the relationship between a tumor and its surrounding tissues. Important information can also be obtained from sagittal and coronal axes. Therefore, spatial information of organs and tumors can be obtained from three directions, i.e. the sagittal, coronal and vertical axes, to understand better the invasion depth of tumor and its relationship with the surrounding tissues. Moreover, the edges of organs and tumors in biomedical image may be blurred. To address these problems, we propose a three-direction fusion volumetric segmentation (TFVS) model for segmenting 3D biomedical images from three perspectives in sagittal, coronal and transverse planes, respectively. We use the dataset of the liver task provided by the Medical Segmentation Decathlon challenge to train our model. The TFVS method demonstrates a competitive performance on the 3D-IRCADB dataset. In addition, the t-test and Wilcoxon signed-rank test are also performed to show the statistical significance of the improvement by the proposed method as compared with the baseline methods. The proposed method is expected to be beneficial in guiding and facilitating clinical diagnosis and treatment.

Biliary duct dilatation is a common incidental finding in practice, but it is unlikely to indicate biliary obstruction in the absence of clinical symptoms or elevated levels on liver function tests (LFTs). However, the clinical presentation may be nonspecific, and LFTs may either be unavailable or difficult to interpret. The goal of this AJR Expert Panel Narrative Review is to highlight a series of topics fundamental to the management of biliary duct dilatation, providing consensus recommendations in a question-and-answer format. We start by covering a basic approach to interpreting LFT results, the strengths and weaknesses of the biliary imaging modalities, and how and where to measure the extrahepatic bile duct. Next, we define the criteria for biliary duct dilatation, including patients with prior cholecystectomy and advanced age, and discuss when and whether biliary duct dilatation can be attributed to papillary stenosis or sphincter of Oddi dysfunction. Subsequently, we discuss two conditions in which the duct is pathologically dilated but not obstructed: congenital cystic dilatation (i.e., choledochal cyst) and intraductal papillary neoplasm of the bile duct. Finally, we provide guidance regarding when to recommend obtaining additional imaging or testing, such as endoscopic ultrasound or ERCP, and include a discussion of future directions in biliary imaging.

Biomarker-driven targeted therapies have shaped the oncology treatment landscape for patients with advanced solid tumors over the past decade. Comprehensive genomic profiling (CGP) has played a key role in precision medicine as it enables simultaneous identification of multiple biomarkers to guide cancer diagnosis, therapy selection, and prognostication. As a result, tissue stewardship for successful CGP testing is paramount. In addition, widespread adoption of less invasive sampling techniques leaves less diagnostic tissue for additional or future testing as smaller biopsies are acquired. To help oncology care practitioners overcome these challenges, this paper provides an overview of current genomic testing methodologies and offers guidelines on best practices for tissue stewardship and preanalytic practices for successful CGP testing and efficient turnaround times for laboratory tests.

Dicationic imidazole ionic liquid stationary phase for preservative detection and its application under mixed mode of HILIC/RPLC/IEC

Barium titanate write-once read-many times resistive memory with an ultra-high on/off current ratio of 108

Nonossifying fibroma (NOF) and fibrous cortical defect (FCDs), the most common benign pediatric bone lesions, are usually incidental x-ray findings. Surveillance of characteristic lesions has been recommended to monitor for enlargement and assess fracture risk. However, no accepted fracture risk prediction guidelines exist, so indications for prophylactic surgery are unclear. The study's purposes were to (1) characterize the timing of NOF/FCD-associated fractures, (2) quantify the resources devoted to surveillance, and (3) evaluate the potential for surveillance to prevent pathologic fracture. A single institution retrospective review was conducted to identify pediatric patients (below 18y old) with clinical-radiographic documentation of an NOF or FCD diagnosis from 2012 to 2020. Patients who presented with fracture were tallied but excluded from the surveillance analysis. Patients without at least one follow-up visit were also excluded. Lesional radiographic features were characterized on initial imaging. The number of visits and imaging studies devoted to surveillance were tabulated. The number of fractures and prophylactic surgeries were recorded to quantify the potential of surveillance to prevent pathologic fractures. The study population presenting without fracture consisted of 301 patients with 364 lesions with a mean follow-up of 20 months. By contrast, over the same period, 38 patients presented with NOF/FCD associated pathologic fractures. Surveillance included 1037 additional imaging tests over 1311 follow-up visits, or on average, 3.4 imaging studies and 4.4 visits per patient. During surveillance, only 2 (0.55%) lesions fractured. Another 10/364 (2.8%) patients underwent curettage and grafting, suggesting that-at best-the potential for preventing pathologic fracture by surveillance, assuming all 10 patients who underwent surgery would have subsequently fractured along with the 2 documented fractures, is 3.3% of lesions (12/364). The small number of fractures and surgeries during the follow-up period probably does not justify additional resources for surveillance beyond the initial visit, except in symptomatic patients with large lesions. However, subsequent visits may play a role in educating patients and their families regarding the natural history of these lesions. Prognostic Level II-retrospective study.