Absolute Scores Research Articles

Hypofractionated vs Conventionally Fractionated Postmastectomy Radiation After Implant-Based Reconstruction

Postmastectomy radiation therapy (PMRT) improves local-regional disease control and patient survival. Hypofractionation (HF) regimens have comparable efficacy and complication rates with improved quality of life compared with conventional fractionation (CF) schedules. However, the use of HF after mastectomy in patients undergoing breast reconstruction has not been prospectively examined. To compare HF and CF PMRT outcomes after implant-based reconstruction. This randomized clinical trial assessed patients 18 years or older undergoing mastectomy and immediate expander or implant reconstruction for breast cancer (Tis, TX, or T1-3) and unilateral PMRT from March 8, 2018, to November 3, 2021 (median [range] follow-up, 40.4 [15.4-63.0] months), at 16 US cancer centers or hospitals. Analyses were conducted between September and December 2023. Patients were randomized 1:1 to HF or CF PMRT. Chest wall doses were 4256 cGy for 16 fractions for HF and 5000 cGy for 25 fractions for CF. Chest wall toxic effects were defined as a grade 3 or higher adverse event. The primary outcome was the change in physical well-being (PWB) domain of the Functional Assessment of Cancer Therapy-Breast (FACT-B) quality-of-life assessment tool at 6 months after starting PMRT, controlling for age. Secondary outcomes included toxic effects and cancer recurrence. Of 400 women (201 in the CF arm and 199 in the HF arm; median [range] age, 47 [23-79] years), 330 patients had PWB scores at baseline and at 6 months. There was no difference in the change in PWB between the study arms (estimate, 0.13; 95% CI, -0.86 to 1.11; P = .80), but there was a significant interaction between age group and study arm (P = .03 for interaction). Patients younger than 45 years had higher 6-month absolute PWB scores if treated with HF rather than CF regimens (23.6 [95% CI, 22.7-24.6] vs 22.0 [95% CI, 20.7-23.3]; P = .047) and reported being less bothered by adverse effects (mean [SD], 3.0 [0.9] in the HF arm and 2.6 [1.2] in the CF arm; P = .02) or nausea (mean [SD], 3.8 [0.4] in the HF arm and 3.6 [0.8] in the CF arm; P = .04). In the as-treated cohort, there were 23 distant (11 in the HF arm and 12 in the CF arm) and 2 local-regional (1 in the HF arm and 1 in the CF arm) recurrences. Chest wall toxic effects occurred in 39 patients (20 in the HF arm and 19 in the CF arm) at a median (IQR) of 7.2 (1.8-12.9) months. Fractionation was not associated with chest wall toxic effects on multivariate analysis (HF arm: hazard ratio, 1.02; 95% CI, 0.52-2.00; P = .95). Fewer patients undergoing HF vs CF regimens had a treatment break (5 [2.7%] vs 15 [7.7%]; P = .03) or required unpaid time off from work (17 [8.5%] vs 34 [16.9%]; P = .02). In this randomized clinical trial, the HF regimen did not significantly improve change in PWB compared with the CF regimen. These data add to the increasing experience with HF PMRT in patients with implant-based reconstruction. ClinicalTrials.gov Identifier: NCT03422003.

Stability and genetic parameters for cassava yield attributes in the tropical humid region of Brazil

The performance differences in cassava genotypes arising from genotype vs. environment interactions (G × E) often lead to responses that are significantly lower than expected for selection. The objective of this study was to evaluate different stability methods, both parametric and non-parametric, such as additive main-effects and multiplicative interaction (AMMI), main effect of genotypes plus G × E (GGE), and weighted average of absolute scores (WAASB), in order to quantify the G × E in multi-environmental trials. A total of 12 genotypes were assessed across 12 environments using a completely randomized block design, with three replicates for traits such as fresh root yield (FRY) and dry matter content in the roots (DMC). The data were subjected to analysis of variance and the Scott Knott test (p < 0.05). The sum of squares (SQ) of genotypes, environment, and G × E effects were equally distributed for FRY, whereas for DMC, these effects accounted for 64.1%, 21.9%, and 13.8% of the SQ, respectively, indicating a lower environmental effect on this characteristic. Using the AMMI, GGE, and WAASB methods, genotypes with high agronomic performance and stability for FRY (BR11-34–41 and BR11-34–69) (> 32 t ha−1) and DMC (BRS Novo Horizonte, BR12-107–002, and BR11-24–156) (> 37%) were identified. The broad-sense heritability (h2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${h}^{2}$$\\end{document}) for FRY and DMC was estimated to be 0.45 and 0.75, respectively. Approximately 72% of the methods identified BRS Novo Horizonte as the genotype with the highest stability and performance for DMC, while 47% identified genotypes BR11-34–41 and BR11-34–69 for FRY and intermediate DMC. Genotype BR11-24–156 exhibited high static stability according to 50% of the methods. Significant correlations were observed between stability and agronomic performance across the different methods, enabling the formation of groups based on stability concepts. Additionally, it was found that two mega-environments existed for FRY, whereas DMC displayed a single mega-environment with similar patterns, indicating an absence of G × E. We identified superior genotypes that could be promoted to national performance trials to develop stable cultivars with better yield attributes in cassava.

Evaluating effectiveness of clonal plant selection of alfalfa (Medicago sativa L.) and sainfoin (Onobrychis viciifolia Scop.) in mixtures: Mean performance and stability in a multi‐environment trial

AbstractAlfalfa (Medicago sativa L.) ‐ grass or alfalfa ‐ sainfoin (Onobrychis viciifolia Scop.) mixtures are commonly used for pastures in western Canada because of their high forage quality and their low risk of causing frothy bloat in grazing animals. However, the proportion of these two legumes declines in mixed forage stands over time. The objective of this study was to evaluate the effectiveness of selecting superior genotypes from clonally propagated alfalfa or sainfoin under plant competition in different growth environments. For this study, around 100 genotypes of each legume were cloned and transplanted into meadow bromegrass (Bromus riparius Relm.) or alfalfa swards at Saskatoon, SK and Lethbridge, AB, Canada in 2017. Genotype‐environment (G x E) interactions of alfalfa and sainfoin genotypes were analysed by an additive main‐effects and multiplicative interaction (AMMI) model. Significant variations in plant height, spring vigour and total dry matter yield (TDM) were observed for both species. Among the measured traits, plant height was a more highly heritable trait (H2 = .16 for alfalfa and H2 = .18 for sainfoin), while TDM was the least heritable (H2 = .08 for alfalfa and H2 = .04 for sainfoin). In the AMMI Analysis of variance for TDM, the genotype explained &lt;12% of the variation for both species, suggesting a direct selection of yield would result in a low genetic gain. The biplot mean performance (Y) x weighted average of absolute scores from the singular value decomposition of the matrix of BLUPs stability index (WAASB) identified several promising genotypes with superior performance and stability across different environments that were selected for producing synthetic lines. However, the synthetic lines of both alfalfa and sainfoin did not consistently exhibit superior performance in mixtures compared to their respective check cultivars.

Validity and Reliability of the Power Slap Board as an Application to Measure Upper Body Vertical Pulling Power for Female Water Polo Players.

Lim, C, Wee, J, Lee, M, Lim, S, and Leow, S. Validity and reliability of the power slap board as an application to measure upper body vertical pulling power for female water polo players. J Strength Cond Res XX(X): 000-000, 2024-This study examined the validity and reliability of the power slap test (PS) as an assessment for upper body pulling power to predict water polo functional performance and competitive experience of female water polo players. Seventeen female water polo players from the national and development squads were recruited. Subjects completed test-retest sessions of PS testing and 1 session of functional performance tests for the 15-m arms-only sprint (15 mAOS) and the 5-m maximum shooting velocity (5 mMSV). All PS, 15 mAOS and 5 mMSV results were compared for predictability. Power slap scores demonstrated high reliability for left PS (intraclass correlations [ICC]: 0.96, 90% confidence interval [CI]: 0.91-0.98), right PS (ICC: 0.96, 90% CI: 0.90-0.98), left and right center of mass (COM) displacement (ICC: 0.98, 90% CI: 0.96-0.99; ICC: 0.95, 90% CI: 0.88-0.98), and summed PS (ICC: 0.96, 90% CI: 0.92-0.99). All absolute PS scores and left COM displacement (COMdispL) demonstrated large correlations with the 15 mAOS times (r = -0.542 to -0.52, r2 = 0.27-0.29, p < 0.05). No performance parameters of the PS were correlated with the 5 mMSV performance (p > 0.05). This study validates the reliability of the PS as a dryland assessment tool for upper body pulling power. Only absolute PS scores and COMdisp were validated as weak predictors of the arms-only sprint times over 15 m. Its predictive power significantly improved when considered in combination with shooting performance. All absolute and normalized kinetic and kinematic PS parameters did not predict functional performance and competitive experience.

Identification of High Erucic Acid Brassica carinata Genotypes through Multi-Trait Stability Index

Brassica carinata is an important and native oilseed crop in Ethiopia. The seed oil from B.carinata attracts global attention for its various industrial applications, mainly due to its high erucic acid levels and its superior agronomic traits. Since the demand for high erucic acid from oilseed brassica has been increasing in the world market due to its wider applications in bio-industries, the breeding target of B. carinata has recently been focused on enhancing its erucic acid. Several high erucic acid B. carinata genotypes have been screened from the pre-breeding activities. Such genotypes, however, need to be tested for their stable performance, for their erucic acid level, and other desirable traits under different environments. The aim of this study was to identify high erucic acid B. carinata genotypes with stable performance in multiple desirable traits. Thirty-two B. carinata genotypes were grown in a randomized complete block design with three replications at three locations for two years. The genotypes were evaluated for nine desirable traits related to seed oil quality (erucic acid and oil content), seed yield, and other agronomic traits. The results showed that the proportion of genotype by environment interaction (GEI) was clearly observed in erucic acid, which led to a stability and mean performance analysis for selecting the most stable and best-performing genotypes for the desired traits. For such an analysis, we used the multi-trait stability index (MTSI) along with the weighted average of absolute score BLUPs (WAASB). As revealed from the MTSI, five genotypes (G13, G18, G10, G22 and G5) were identified as the most stable in erucic acid, oil content, seed yield, and other agronomic traits. The selected genotypes showed on average 45.7% erucic acid, 3185 kg ha−1 seed yield and 45.1% oil content with 4.3%, 25.8% and 6.9% positive selection gain, respectively. The negative selection gain of phenological traits and the plant height of the selected genotypes revealed their early maturity and their lower probability of being affected by lodging. Our findings demonstrated MTSI can be used to select high erucic acid B. carinata with a set of desirable traits, which would facilitate breeding efforts in developing novel and high erucic acid B. carinata varieties. Our results also showed that MTSI is an effective tool for selecting genotypes across different environments due to its unique ability to select multiple traits simultaneously.

Evaluation of Seed Yield Stability of Lentil Genotypes by Linear Mixed‐Effects Models and Multitrait Stability Index

ABSTRACTTo evaluate performance stability for 13 lentil genotypes, experiments were performed at three locations, Ardebil, Zanjan, and Maragheh, during three growing seasons (2011–2013). Environment, genotype, and interaction of genotype × environment were significantly effective on 100‐seed weight, plant height, number of days to flowering, number of days to maturity, rate of seed filling, and single seed weight. Nominal grain yield biplot identified stability of 2, 12, 1, 3, and 6 genotypes with regard to grain yield. According to biplot analysis, Genotypes 1, 3, and 10 not only produced the highest grain yield but also showed the greatest stability in yield production. Genotypes 1, 6, 7, and 13 were identified as highly stable and productive based on grain yield, mean weight stability index, and weighted average of absolute scores of best linear unbiased predictions (WAASB). Genotypes 1 and 7 were best genotypes according to multitrait stability index (MTSI). Harmonic mean of the relative performance of genotypic predicted value (HMRPGV) recognized Genotypes 6, 1, 5, and 3 as highly stable, productive, and adaptable genotypes. In general, Genotype 1 indicated highest grain yield and desirable agronomic traits compared to other genotypes tested, suggesting this genotype as new cultivar.

Trace elements in the Upper Indus River Basin (UIRB) of Western Himalayas: Quantification, sources modeling, and impacts

This study conducted a comprehensive analysis of trace element concentrations in the Upper Indus River Basin (UIRB), a glacier-fed region in the Western Himalayas (WH), aiming to discern their environmental and anthropogenic sources and implications. Despite limited prior data, 69 samples were collected in 2019 from diverse sources within the UIRB, including mainstream, tributaries, and groundwater, to assess trace element concentrations. Enrichment factor (EF) results and comparisons with regional and global averages suggest that rising levels of Zn, Cd, and As may pose safety concerns for drinking water quality. Advanced multivariate statistical techniques such as principal component analysis (PCA), absolute principal component scores (APCS-MLR), Monte Carlo simulation (MCS), etc were applied to estimate the associated human health hazards and also identified key sources of trace elements. The 95th percentile of the MCS results indicates that the estimated total cancer risk for children is significantly greater than (>1000 times) the USEPA’s acceptable risk threshold of 1.0 × 10−6. The results classified most of the trace elements into two distinct groups: Group A (Li, Rb, Sr, U, Cs, V, Ni, TI, Sb, Mo, Ge), linked to geogenic sources, showed lower concentrations in the lower-middle river reaches, including tributaries and downstream regions. Group B (Pb, Nb, Cr, Zn, Be, Al, Th, Ga, Cu, Co), influenced by both geogenic and anthropogenic activities, exhibited higher concentrations near urban centers and midstream areas, aligning with increased municipal waste and agricultural activities. Furthermore, APCS-MLR source apportionment indicated that trace elements originated from natural geogenic processes, including rock-water interactions and mineral dissolution, as well as anthropogenic activities. These findings underscore the need for targeted measures to mitigate anthropogenic impacts and safeguard water resources for communities along the IRB and WH.

Long-term trends of ozone in the Yangtze River Delta, China: Spatiotemporal impacts of meteorological factors, local, and non-local emissions

The Yangtze River Delta (YRD) region has witnessed a consistent decrease in NO2, CO, and PM2.5 from 2016 to 2023. However, ozone has exhibited fluctuating patterns. Quantifying ozone contributions from emissions, both within and outside the YRD, is essential for understanding city-cluster-scale ozone pollution (CCSOP). To address these concerns, a comprehensive approach combining Kolmogorov-Zurbenko filtering, Empirical Orthogonal Function, Absolute Principal Component Score, and Multiple Linear Regression methods (KZ-EOF-APCs-MLR) was employed to quantify the impacts of meteorological factors, local and non-local emission contributions of ozone (LECO and NECO). Emission changes were identified as the predominant factor shaping annual fluctuations in ambient ozone. Notably, during the previous and middle stages of the COVID-19 pandemic (from 2017 to 2021), emissions reductions led to a marked decrease in YRD ozone levels (-7.01 µg/m3), with a pronounced rebound post-pandemic (2022 to 2023) (+8.04 µg/m3). Seasonally, the emission-induced ozone exhibited fluctuating upward trend during autumn and winter, suggesting a transition of ozone pollution towards colder seasons. Spatially, high LECO concentrated in the eastern YRD (EYRD) across spring, autumn, and winter, becoming prominent in the central YRD (CYRD) during summer. During CCSOP, the CYRD exhibited the highest LECO and exceedance frequency (20.82 µg/m3 and 45.27 %). LECO explained a large portion of ozone variability during CCSOP, particularly in the EYRD, while NECO showed less explanatory power but consistently high contributions (148.05 ± 15.52 µg/m3). These findings offer valuable insights for a deeper understanding of the evolving patterns of ozone pollution and the issue of CCSOP in the YRD.

Quantitative EEG correlates of 'Kriya yoga' benefits for mental health among health care providers.

Health care workers (HCWs) experience abounding physical and mental exhaustion mandating a deliverable solution for their mental health care. Kriya yoga (KY) includes several relaxation techniques and offers a stress-alleviating experience. The objective signature of KY benefits needs to be investigated. To study the effects of KY practice on brain oscillations and perceived stress in health care providers. This prospective interventional study was conducted during coronavirus disease 2019 pandemic. HCWs were enrolled to the intervention group (IG) and control group (CG) after obtaining an informed consent. IG visited the yoga center for learning the KY technique. Electroencephalogram (EEG) was recorded in both the groups, at baseline, and at the end of 6 weeks in the EEG Laboratory. Perceived stress scale (PSS) scores and participants' subjective response to KY practice were also collected. Paired t-test and independent t-test were used for statistical comparison wherever applicable. Age and baseline EEG powers among the IG and CG (N = 25) were statistically comparable. Absolute power analysis revealed a statistically significant increase in alpha and delta powers after 6 weeks of KY practice. The PSS scores revealed a statistically significant decrease in perceived stress after KY practice. Furthermore, 83% of the participants reported the subjective calming effects of KY practice. KY practice ensues relaxing effects on the brain, as evident from the EEG absolute power analysis, PSS scores, and participants' subjective response. As KY is a brief technique, it may be encouraged during short break session among the HCWs for promotive health.

Combining AMMI and BLUP analysis to select high‐yielding soybean genotypes in Benin

AbstractThirty soybean [Glycine max (L.) Merr.] genotypes, along with three checks, were evaluated over three seasons across five communes in Benin. The experiments were laid out in an alpha lattice design with three replicates. Additive multiplicative mean interaction (AMMI) and best linear unbiased predictor (BLUP) analysis were combined to assess differential agronomic performance and yield stability among genotypes. There was significant variation (p &lt; 0.001) between genotypes for all traits, with highly significant environmental and genotype × environment interaction (GEI) effects on soybean grain yield (p &lt; 0.001). The likelihood ratio test indicated that both genotype and interaction effects were highly significant (p &lt; 0.001). The low R2 (0.21) for GEI reflected the presence of high residual variation in the GEI component, in contrast to the AMMI analysis of variance, which explained a high proportion of the GEI through the first two interaction principal component axes (52%). The very high value of the predictive accuracy (0.89) confirmed the model's reliability in selecting superior genotypes. The low (0.33) genotypic correlation between environments indicated that it was difficult to select superior genotypes for each environment. Based on the superiority index (weighted average absolute scores from BLUP for yield) of BLUP, simultaneous selection led to the identification of Jenguma 2.67 ± 0.06 t ha−1 as the most stable and productive genotype across environments, followed by Favour 2.34 ± 0.08 t ha−1, and Afayak 2.46 ± 0.08 t ha−1. The agronomic performance of soybean in this study suggested great potential for diversifying cotton‐based cropping systems in Benin, thereby improving their sustainability. The effect of these soybean genotypes on the productivity of intercrop combinations and sequences of cash crops, such as cotton, is yet to be investigated.

Comparing point‐wise and pair‐wise relevance judgment with brain signals

AbstractHow to collect relevance judgment has long been an important problem in Information Retrieval (IR). A popular method is to collect relevance judgment in a point‐wise manner, in which assessors examine and give an absolute relevance score for each item independently of the others. As an alternative, pair‐wise relevance judgment, also named preference judgment, allows an assessor to compare two items side‐by‐side and express their preference for one over the other. Previous work has explored the differences between these two paradigms of relevance judgments from many different aspects. Most of these works are conducted through explicit/implicit feedback. However, few works investigate the underlying neurological mechanisms of the two paradigms. In this paper, we conduct a lab study to investigate and compare point‐wise and pair‐wise relevance judgment in image search scenarios. We study the neurological mechanisms of the two paradigms through an event‐related potential (ERP) analysis of the users' brain signals while viewing images during a search process. We have obtained several observations, such as search engine users tend to pay more attention to preferred items in the point‐wise paradigm but unpreferred items in the pair‐wise paradigm. Furthermore, we test the adoption of brain signals as implicit feedback for predicting pair‐wise relevance judgment, highlighting the feasibility of leveraging brain signals to understand users' relevance judgments.

Hydrochemical Characteristics and Evolution under the Influence of Multiple Anthropogenic Activities in Karst Aquifers, Northern China

The intensification of anthropogenic activities (agriculture, industry, and exploitation of water resources) during urbanization has posed significant challenges to the aquatic environment, particularly in karst regions. Karst aquifers are highly susceptible to surface contaminants and exhibit minimal natural remediation capabilities. Our understanding of the anthropogenic activities involved in these sensitive karst systems remains limited. To address this gap, we conducted a comprehensive study, collecting 285 groundwater samples in Feicheng, northern China, from 1996 to 2015. The overexploitation of karst groundwater has resulted in several concerns. The whole dataset was classified into four groups according to land use. Water quality assessments revealed a yearly decline, particularly in industrial and agricultural areas. The water chemistry transitioned from Ca-Mg-HCO3 to Ca-Mg-HCO3-SO4. Such evolution was attributed to natural hydrogeochemical processes, atmospheric precipitation, and anthropogenic inputs. Natural factors included water-rock interactions (the mineral dissolution) and ion exchange. Absolute principal component scores with multiple linear regression (APCS-MLR) were used to quantitatively estimate the sources of pollution. The results showed that hydrogeological settings (recharge, runoff, and discharge) were crucial in the hydrochemistry evolution of karst groundwater systems. In agricultural areas, it is recognized that much of the NO3− accumulation in aquifers came from upstream inputs in the groundwater system, not just irrigation and fertilization. Urban areas were affected by Cl− pollution, primarily due to domestic waste. Industrial regions of recharge zones were more susceptible to atmospheric precipitation and industrial waste, with pollutants infiltrating through rainfall and degrading water quality. Mining areas exhibit higher SO42− and lower pH due to the oxidation of sulfur-containing minerals. Therefore, the rapid response and low self-purification capacity of groundwater in karst regions necessitate caution in urban planning to mitigate impacts on these fragile systems.

Effectiveness and safety of secukinumab updosing in patients with moderate to severe plaque psoriasis: data from the PURE registry

Secukinumab is a fully human IgG1 antibody that selectively binds to and neutralizes the proinflammatory cytokine interleukin-17A. Secukinumab is an effective and well-tolerated treatment for plaque psoriasis. There is a limited real-word evidence for dose optimisation of secukinumab based on clinical response. PURE is a multi-national, prospective, observational study in patients with moderate to severe chronic plaque psoriasis in Canada and Latin America, assessing the real-world safety and effectiveness of secukinumab and other indicated therapies. The aim of the current snapshot analysis was to evaluate the effectiveness and safety of on-label dose and updosed secukinumab in patients with plaque psoriasis enrolled in the PURE study. At the time of analysis, 676 patients received secukinumab, of which 84.6% (n = 572) remained on the on-label dose, while 15.4% (n = 104) were updosed. With on-label secukinumab, the absolute Psoriasis Area and Severity Index (PASI) score was reduced from 13.6 at baseline to 1.2 over 36 months, with treatment persistence of 73% at 40 months. At Month 36, 73.2% of the patients receiving on-label secukinumab achieved Investigator’s Global Assessment (IGA) 0/1. With updosed secukinumab (300 mg every 2 weeks, 300 mg every 3 weeks, 450 mg every 4 weeks, or 450 mg every 3 weeks), 57.9% of the patients showed improvement in the absolute PASI score at the first visit after updosing, with treatment persistence of 50% at 12 months after updosing. At Month 15, 40% of patients receiving updosed secukinumab achieved IGA 0/1. Patients with previous biologic exposure (odds ratio [OR]: 3.25; 95% confidence interval [CI]: 2.03, 5.18, p < 0.0001) were more likely to be updosed while those with a body weight < 90 kg (OR: 0.49; 95% CI [0.31, 0.77], p = 0.0019) were less likely to be updosed. Previous biologic exposure (HR [hazard ratio]: 1.47; 95% CI [1.24, 1.75], p < 0.0001) and current biologic exposure (secukinumab vs. other indicated therapies: HR 0.57; 95% CI [0.43, 0.75], p = 0.0001) were significantly associated with time to secukinumab updosing. No new or unexpected safety signals were observed with updosed secukinumab. Secukinumab updosing was efficacious and well-tolerated in patients with psoriasis who failed to respond to the approved on-label regimen, suggesting that updosing may be a useful therapeutic option for approved dose non-responders.

Patient-Reported Outcomes After Intramedullary Nailing of Oncologic Impending or Pathologic Fractures With Carbon Fiber or Titanium Implant.

Despite the benefits of intramedullary nailing (IMN) of impending or pathologic fractures in oncologic patients, literature on patient-reported outcomes (PROs) is scarce in patients treated with carbon fiber (CF) nails. Our study compared postoperative PROs after IMN with CF or titanium implants. We conducted a retrospective propensity score-matched cohort study of patients treated at our institution with CF or titanium nails for impending or pathologic fractures from metastatic bone disease. Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health Short Form (SF) Physical, Mental, and Physical Function 10a scores were collected. Pain was assessed using visual analog scale (VAS). Absolute and differential scores were compared between groups. We included 207 patients, 51 treated with CF and 156 with titanium nails. One month postoperatively, patients had a one-point decrease in the pain VAS score while PROMIS scores did not improve. At 3 months, PROMIS SF Physical and SF 10a scores improved from preoperative values. Six months postoperatively, median PROMIS SF Physical, SF Mental, and SF 10a scores were higher than preoperative scores. Absolute and differential PROMIS and pain VAS scores were similar between groups at the 6-month and 1-year marks. Patient-reported outcomes were similar after intramedullary nailing with either CF or titanium implants.

Soil pollution and elemental sources along Barapukuria coal mine, Bangladesh: Implications for eco-environmental and health risk assessment

For the first time, different pollution indices and a receptor model have been used to quantify eco-environmental and health risk assessments as well as identify the sources of potentially toxic elements in soil along the Barapukuria Coal Mine (BCM). Individual indices include enrichment and contamination factors showing the soil samples are moderately to highly contaminated by arsenic, cobalt, chromium, copper, lead, and zinc and heavily contaminated by sulfur. According to the geo-accumulation index, there is significant pollution with arsenic (1.24 ± 0.38), lead (1.49 ± 0.58), cobalt (1.49 ± 0.58), and sulfur (1.63 ± 0.38). Modified hazard quotient and ecological risk factor values also suggest low to moderate environmental risk hazards from the same elements. The nemerow pollution index, pollution load index, nemerow risk index, ecological risk index, and toxic risk index of soil range from 1.65 to 3.03, 0.82–1.23, 11–26, 77–165, and 6.82–11.76 suggest low toxic risk and moderate pollution, among other synergistic indices. Health risk assessment indicates that iron poses lower cancer risk for children than adults, while both face unacceptable cancer risks from inhaling chromium, cobalt, or arsenic. Principal component and phylogenetic cluster analysis extracted by the multiple linear regression with the absolute principal component score (APCS-MLR) model refer to the fact that manganese, iron, titanium, and nickel have originated from geogenic sources, while coal mine effluents enrich elements like arsenic, chromium, zinc, lead, uranium, sulfur, thorium, and zinc and phosphorous sourced from agriculture. In addition, geogenic and anthropogenic sources, including mine and agriculture activities, could potentially pollute the soil and ecosystem. The findings are crucial for regional and national planners in devising strategies to mitigate potentially toxic element pollution in soil along coal mine areas.

The Use of Thermal Data for Quality Assurance in the Process of Continuous Ultrasonic Welding of Thermoplastic Composite Materials

Continuous ultrasonic welding (CUW) is a manufacturing process used to join thermoplastic composite materials using high-frequency ultrasonic vibrations. Under pressure and vibration, the welding material heats up, melts and the welding partners are joined while they are cooling down. The development of CUW is getting raised attention over the last decade since the use of thermoplastic composites (TCs) in the production industry and especially the aerospace sector demands for economic and fast joining techniques. In order to establish this welding technique in the industry it is necessary to develop methods which enable to do quality assurance on the produced welding seams. In the experiments described in this paper the potential of thermal measurements for the quality assurance of the ultrasonic welding of TCs is investigated. Different thermal systems are evaluated and it is described how the data of the most promising technique is further processed and fed to an artificial intelligence (AI) algorithm. The here trained networks are created to predict lab-shear-strength values and reach mean absolute error scores of below 1 MPa. The described investigations hint that thermography seem to be a valuable resource to make more reliable quality assurance in the process of CUW of TCs and therefore might help to establish the use of this welding technology further in the industry.

The Relationship Between Patient-Reported Outcome Measures (PROMs) in Patients Undergoing Hip and Knee Joint Replacement Surgery and Social Deprivation on the Wirral.

This study aimed to investigate the associa-tion between patient-reported outcome measures (PROMs), both pre- and post-operatively, and socio-economic deprivation among patients undergoing hip and knee replacement surgeries in the diverse socioeconomic region of Wirral. A retrospective cohort study was conducted, involving 1666 adult patients who underwent hip or knee replacement procedures between 2012 and 2019. Socioeconomic deprivation was assessed using the Index of Multiple Deprivation (IMD). Pre- and post-operative outcomes were measured using the Oxford Hip and Knee scores. The mean scores for both pre-and post-operative assessments (Q1 and Q2) exhibited a strong positive correlation with PROM scores, regardless of gender, across both hip and knee replacements. However, the mean difference in scores between Q1 and Q2 showed no significant correlation with the IMD decile. Notably, patients residing in areas of higher socioeconomic deprivation demonstrated lower PROMs both before and after the surgery. The Oxford Hip and Knee scores are widely employed for evaluating health status in patients. In our study, these scores were influenced by IMD decile, supporting the holistic assessment approach employed by the treating unit, which does not rely solely on PROM scores as a trigger for arthroplasty discussions. Furthermore, our findings align with the practice of NHS Digital, which publishes PROM scores based on changes in PROM scores pre- and post-operation rather than absolute PROM scores. This approach appears to be less influenced by deprivation in the catchment area, as the improvement or change in scores was poorly correlated with socioeconomic factors.

Efficacy and safety comparison between pulsed dye laser and intense pulsed light configured with different wavelength bands in treating erythematotelangiectatic rosacea.

Previous clinical studies have shown that pulsed dye laser (PDL) and intense pulsed light (IPL) are effective for treating erythematotelangiectatic rosacea(ETR). This article aims to compare the efficacy and safety of PDL and IPL at three different wavelength bands (broad-band, single-narrow-band, and dual-narrow-band) in treating ETR. Sixty subjects with ETR were randomly categorized into four groups and received one of the following laser treatments: PDL (595nm), IPL with Delicate Pulse Light (DPL, 500-600nm), IPL with M22 590 (590-1200nm), or IPL with M22 vascular filter (530-650nm and 900-1200nm). Four treatment sessions were administered at 4-week intervals, with one follow-up session 4 weeks after the final treatment. The efficacy of the four lasers was evaluated by comparing the clinical symptom score, total effective rate, VISIA red area absolute score, and RosaQoL score before and after treatment. The safety was evaluated by comparing adverse reactions such as pain, purpura, erythematous edema, and blister. All 60 subjects completed the study. Within-group effects showed that the clinical symptom score, VISIA red area absolute score, and RosaQoL score of all four groups were significantly reduced compared to before treatment (p < 0.001). Between-group effects showed no statistically significant difference among the four laser groups. Safety analysis showed that all four lasers were safe, but the incidence of blister was higher in the M22 vascular group. Nonpurpurogenic PDL, DPL, M22 590, and M22 vascular were equally effective in treating ETR and were well-tolerated. ClinicalTrial.gov Identifier: NCT05360251.

Selection of high yielding stable forage sorghum genotypes using WAASB and MGIDI methods

Forage sorghum is a versatile and sustainable crop that is less demanding on inputs, produces significant biomass, and is tolerant of drought. In the present study, a set of 30 forage sorghum genotypes, including 21 B–lines and 9 varieties or restorer lines were evaluated under five different environments in Assam and Hyderabad during kharif, rabi and summer 2020–2021 for 12 forage yield related traits. Phenotypic stability was analyzed using multivariate techniques, including the weighted average absolute scores of BLUPs (WAASB) stability index and the multi-trait genotype ideotype distance index (MGIDI). A WAASBY, Y x WAASB bi-plot analysis revealed that genotypes G24 (348B), G25 (424B), and G30 (SSG-59-3) exhibited excellent stability with higher mean performance. MGIDI identified four genotypes, viz., G30 (SSG-59-3), G7 (NSS11B), G19 (327B) and G24 (348B) with higher mean performance and stability for all the 12 studied traits. These selected genotypes exhibited high heritability and genetic gain for green forage yield, indicating their stability and desirability. The strength-weakness plot showed that all selected genotypes were weak contributors to the MGIDI for all traits. This indicates that these genotypes are stable and closer to the ideotype, making them ideal candidates for breeding programs aimed at improving these traits.

An NLP-based approach to assessing a company’s maturity level in the digital era

Conducting a maturity assessment allows companies to measure their readiness in implementing novel technologies. However, this task is challenging due to the multidimensional, complex, unpredictable, and non-linear nature of innovation. In this paper, we introduce an innovative approach to maturity assessment that enables both intra- and inter-company analysis. Our approach evaluates a company’s absolute maturity score concerning a specific technology or area. By leveraging a Natural Language Processing pipeline applied to a semi-structured questionnaire we extract popular concepts from the answers and present them to a human expert for analysis. The expert can refine the analysis by adding or removing concepts as needed. Subsequently, we compute a similarity metric for each answer to determine a company’s maturity in specific concepts. The output of our analysis is presented through human-readable plots, offering clear insights into the internal maturity level of the company and allowing for a comparison with competitors across the chosen concepts. To demonstrate the capabilities of our method, we provide a running example showcasing both quantitative and qualitative results of the analysis. Our approach demonstrates efficiency, with preprocessing completed in 1.967±0.758 s, and information extraction in 0.074±0.017 s on average, excluding human intervention time, and requiring low hardware resources.