Notes

Surface-enhanced Raman scattering-based recognition regarding plasmin exercise simply by certain peptide substrate.
Cancer caregivers experience health challenges related to their caregiving role, and self-efficacy can contribute to health outcomes through behavioral, environmental, and personal factors. The purpose of this integrative review was to examine self-efficacy in caregivers of adults diagnosed with cancer, including its association with health factors.

A systematic search of PubMed, CINAHL, and PsychInfo yielded 560 articles. Following duplicate removal, 232 articles were screened for inclusion criteria with 71 articles remaining for final review.

Studies were generally quantitative (n=67), with predominantly female (n=55), White (n=36) caregivers, between the ages of 45-60 (n=48). Self-efficacy was significantly associated with quality of life, caregiver function, social support, hope, depression, anxiety, and burden as a predictor, mediator, and outcome. Physical health and social determinants of health (social support and financial well-being) were addressed among fewer studies than mental and emotional health outcomes.

Addressing self-efficacy in diverse populations and within physical, mental, and social health contexts will enhance understanding of how self-efficacy impacts caregivers of adults diagnosed with cancer. Nurses and other health care professionals can then effectively address supportive needs of caregivers in the personal, behavioral, and environmental domains.
Addressing self-efficacy in diverse populations and within physical, mental, and social health contexts will enhance understanding of how self-efficacy impacts caregivers of adults diagnosed with cancer. Nurses and other health care professionals can then effectively address supportive needs of caregivers in the personal, behavioral, and environmental domains.
Lymphoma is a common hematologic malignancy of adolescents and young adults. Cancer survivorship and quality of life are two outcomes studied to measure the types and scope of problems cancer patients experience leading to diagnosis, treatment, and long-term survivorship. This integrative literature review aims to review published literature in the adolescent and young adult lymphoma population, emphasizing cancer survivorship and quality of life outcomes.

The integrative review framework by Whittemore and Knafl was used as the guideline for this study. A literature search of three relevant health science databases, including PubMed, the Cumulative Index to Nursing and Allied Health Literature, and Ovid Emcare, was completed.

Twelve publications were included in the review, including ten quantitative and two qualitative studies. The studies consisted of sample populations from the United States, England, Germany, and the Netherlands; one study was an international, Children's Oncology Group study. The included studies detailed the cancer survivorship and quality of life outcomes of young adults with lymphoma by quantitative retrospective and longitudinal analysis; two studies used descriptive qualitative and grounded theory methods. The limited qualitative and longitudinal research in adolescents and young adults with lymphoma demonstrates a gap in the lived experience of this cancer population and the adherence to long-term survivorship recommendations.

Future research in adolescents and young adults with lymphoma should employ longitudinal and qualitative designs to examine the quality of life from diagnosis through extended survivorship, and the experiences at diagnosis, treatment, post-treatment, and long-term follow up.
Future research in adolescents and young adults with lymphoma should employ longitudinal and qualitative designs to examine the quality of life from diagnosis through extended survivorship, and the experiences at diagnosis, treatment, post-treatment, and long-term follow up.
This study aimed to examine the impact of family resilience on the individual resilience of couples during cancer and explore the potential mediating role of perceived social support and the moderating role of sex in this association in cancer patient-spouse dyads.

The participants were 272 cancer patients and their spouses (N=544) who completed the Family Resilience Assessment Scale, the Perceived Social Support Scale and the Resilience Scale. We adopted the actor-partner interdependence mediation model to examine whether and how patients' and their spouses' family resilience was associated with their own and their partners' perceived social support and individual resilience.

The results indicated that the patients' and their spouses' level of family resilience was positively associated with their own individual resilience directly and indirectly by increasing their own perceived social support. The family resilience of the spouses was associated with an increase in the patients' individual resilience only indirectly by increasing the patients' perceived social support. The spouse-actor effects between family resilience and individual resilience differed significantly by sex.

Enhancing family resilience and perceived social support within the family can improve individual resilience. The findings regarding the sex differences serve as a rationale for gender-based approaches to improving individual resilience in the family context.
Enhancing family resilience and perceived social support within the family can improve individual resilience. Elenbecestat The findings regarding the sex differences serve as a rationale for gender-based approaches to improving individual resilience in the family context.Surficial CO2 efflux surveys have been used to delineate hydrocarbon source zones in contaminated aquifers and provide estimates of hydrocarbon biodegradation rates. This approach requires distinguishing between CO2 derived from petroleum degradation and CO2 produced from natural soil respiration. To this end, radiocarbon has been used to differentiate between 14C-depleted CO2 from hydrocarbon degradation and 14C-enriched CO2 from natural soil respiration to effectively quantify the contribution of each source to total CO2 efflux, and by deduction natural source zone depletion (NSZD) rates. In this study, a systematic method comparison has been conducted to evaluate available approaches for collecting CO2 gas samples for radiocarbon analysis used to correct total CO2 efflux measurements for quantifying natural source zone depletion rates. Gas samples for radiocarbon analysis were sampled from (i) dynamic closed chambers (located at ground surface), (ii) static chambers (also at ground surface), (iii) shallow esentativeness, providing the most reliable estimates of CO2 effluxes originating from contaminant degradation. However, the results also show that for this study, all methods agree within a factor of less then 2.3 regarding the inferred NSZD rates.This study integrated batch experiments and theoretical calculations to understand the equilibrium adsorption and kinetic interaction of CdSeS/ZnS alloyed quantum dots nanoparticles (QDNPs) in sand porous media under different ionic strengths (ISs; 0.001-0.2 M NaCl). Our experimental results showed that equilibrium was reached for QDNP concentration between solid phase and bulk solution due to reversible adsorption of the QDNPs on sand surfaces. Derjaguin-Landau-Verwey-Overbeek (DLVO) interaction energy calculations showed that the repulsive energy barriers were low and primary energy wells were shallow (i.e., comparable to the average kinetic energy of a colloid) at all tested solution ISs. Hence, the QDNPs could mobilize into and simultaneously escape from the primary wells by Brownian diffusion, resulting in the reversible adsorption. Additional batch experiments confirmed that a fraction of adsorbed QDNPs was released even without any perturbation of system conditions. The release was more evident at a lower IS because the primary energy wells spanned more narrowly at low ISs and thus the nanoparticles have a higher possibility to escape out. The batch kinetic experiments showed that the adsorption of QDNPs followed first- and second-order kinetic interactions at low and high ISs, respectively. These results indicate that the well-known colloid filtration theory that assumes irreversible first-order kinetics for colloid deposition is not suitable for describing the QDNP adsorption. The findings in our work can aid better description and prediction of fate and transport of QDNPs in subsurface environments.Accurate calculation of the longitudinal dispersion coefficient (Kx) of pollution is essential in modeling river pollution status. Various equations are presented to calculate the Kx using experimental, analytical, and mathematical methods. Although machine learning models are more reliable than experimental equations in the presence of uncertainties missing data, they have not been widely used in predicting Kx. In this study, the Kx of the river was predicted using machine learning methods, including least square-support vector machine (LS-SVM), adaptive neuro-fuzzy inference system (ANFIS), and ANFIS optimized by Harris hawk optimization (ANFIS-HHO), and the results were compared with that of the experimental methods. Several scenarios were designed by different combinations of input variables, such as the average depth of the flow (H), average flow velocity (U), and shear velocity (u⁎). The results showed that machine learning models had a more efficient performance to predict Kx than experimental equations. The ANFIS-HHO, with a scenario containing all the input variables, performed better than the other two models, with root mean square error, mean absolute percentage error, and coefficient of determination of 17.0, 0.22, and 0.97, respectively. Furthermore, the HHO algorithm slightly increased the prediction performance of the ANFIS. The discrepancy ratio (DR) evaluation criteria showed that experimental equations overestimated the values of Kx, while the machine learning models resulted in higher precision. Also, the results of Taylor's diagram showed the acceptable performance of the ANFIS-HHO model compared to other models. Given the promising results of the present study, it is expected that the proposed approach can be efficiently used for similar environmental modeling problems.Thermal use of the shallow subsurface and its aquifers ( less then 400 m) is steadily increasing. Currently, more than 2800 aquifer thermal energy storage (ATES) systems are operating worldwide alongside more than 1.2 million ground source heat pump (GSHP) systems in Europe alone. These rising numbers of shallow geothermal energy (SGE) systems will put additional pressure on typically vulnerable groundwater systems. Hitherto, suitable criteria to control the thermal use of groundwater in national and international legislations are often still at a preliminary state or even non-existing. While the European Union (EU) Water Framework Directive (WFD) defined the release of heat into the groundwater as pollution in the year 2000, the cooling of groundwater for heating purposes is not explicitly mentioned yet. In contrast, some national legislations have stricter guidelines. For example, in Germany, detrimental changes in physical, chemical and biological characteristics have to be avoided. In the Swiss water ordinance, it is even recommended that the groundwater biocenosis should be kept in natural state.
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