Full Spectrum Research Articles

Achieving Highly Efficient Photocatalytic Hydrogen Evolution through the Construction of g-C3N4@PdS@Pt Nanocomposites.

Selective supported catalysts have emerged as a promising approach to enhance carrier separation, particularly in the realm of photocatalytic hydrogen production. Herein, a pioneering exploration involves the loading of PdS and Pt catalyst onto g-C3N4 nanosheets to construct g-C3N4@PdS@Pt nanocomposites. The photocatalytic activity of nanocomposites was evaluated under visible light and full spectrum irradiation. The results show that g-C3N4@PdS@Pt nanocomposites exhibit excellent properties. Under visible light irradiation, these nanocomposites exhibit a remarkable production rate of 1289 μmol·g-1·h-1, marking a staggering 60-fold increase compared to g-C3N4@Pt (20.9 μmol·g-1·h-1). Furthermore, when subjected to full spectrum irradiation, the hydrogen production efficiency of g-C3N4@PdS@Pt-3 nanocomposites reaches an impressive 11,438 μmol·g-1·h-1, representing an eightfold enhancement compared to g-C3N4@Pt (1452 μmol·g-1·h-1) under identical conditions. Detailed investigations into the microstructure and optical properties of g-C3N4@PdS catalysts were conducted, shedding light on the mechanisms governing photocatalytic hydrogen production. This study offers valuable insights into the potential of these nanocomposites and their pivotal role in advancing photocatalysis.

Features of bioelectric brain activity of 18–22 years old male students with internet addiction

BACKGROUND: Excessive use of the Internet for entertainment or aimless activities often results in the development of Internet addiction.
 AIM: To study bioelectrical activity of the brain in young men aged 18–22 with Internet addiction using the EEG spectral analysis data. Specifically, the analysis will focus on the full spectrum power and rhythm indices.
 METHODS: The study involved 61 volunteers who were students in their first or second year of full-time education at the University of Tyumen (UTMN). These volunteers were young men with an average age of 19.63±1.27 years and were residents of Tyumen and the Tyumen region. To categorize the participants, the Chen method (CIAS) was used to divide them into two groups: Internet addicts and a control group. A background EEG was recorded using 16 standard leads. A spectral analysis of the EEG was then conducted, focusing on the total power of the spectrum, the power of the spectrum in the alpha range (µV2), and the rhythm index. The groups were compared using Mann–Whitney U-test.
 RESULTS: EEG Type 1 was found in 86% of individuals with addiction. This type exhibited an alpha rhythm structure that was well-organized in both time and space. Additionally, it displayed pronounced spindles. EEG Type 2 was observed in 14% of addicted students. It was characterized by hypersynchronous alpha activity, which was weakly modulated or not modulated into spindles. It also exhibited high Rhythm Index values. In the control group of young men, three types of normal EEG organization were identified. Most of the controls (69%) displayed an organized Type 1 pattern. Eight percent exhibited a hypersynchronous Type 2 pattern. The remaining 23% showed a desynchronous Type 3 pattern, which was characterized by a low representation of the alpha-component. Instead, theta- and beta1-rhythms were noted. When comparing the total power of the spectrum in the main frequency ranges (0.5–35 Hz), higher values were observed in the group of individuals addicted to the Internet, as compared to the control group. Specifically, the left anterior frontal Fp1 (U=210; Z=2.04; p=0.049), right parietal P4 (U=215; Z=2.07; p=0.049), right and left occipital O1 (U=180; Z=2.76; p=0.006), O2 (U=187; Z=2.64; p=0.008), left temporal T3 (U=230; Z=1.92; p=0.050), and left posterior temporal T5 (U=201; Z=2.41; p=0.015) leads exhibited significantly higher values.
 CONCLUSION: The bioelectrical activity patterns of the brains of UTMN male students addicted to the Internet indicate a developed stage of the addictive process. During this stage, there are no significant negative EEG manifestations of Internet addiction. This can be attributed to the adaptive mechanisms that have developed in these individuals because of their lifestyle.

Effects of Acapella versus Blow Bottle Positive Expiratory Pressure on Airway Clearance and Peak Expiratory Flow Rate in Post-Covid-19 Patients

Background: The COVID-19 pandemic has led to significant respiratory complications in affected individuals. Positive Expiratory Pressure (PEP) devices, specifically Acapella and blow bottle devices, have been widely used in respiratory rehabilitation, particularly in patients with pulmonary diseases and post-surgical respiratory complications. However, their efficacy in post COVID-19 patients has been less explored. Objective: This study aimed to compare the effectiveness of Acapella and blow bottle devices in improving oxygen saturation, peak expiratory flow rate, shortness of breath, and six-minute walk distance in post COVID-19 patients. Methods: This randomized clinical trial was conducted at Tehsil hospital Kot Addu over six months. Forty-eight post COVID-19 patients were divided equally into two groups: one group received treatment with the Acapella device, and the other with a blow bottle device. Baseline and post-treatment measurements of oxygen saturation, peak expiratory flow rate, and six-minute walk distance were recorded using a pulse oximeter, peak expiratory flow meter, and six-minute walk test, respectively. Results: On day 1, the Acapella group showed a mean oxygen saturation rank of 20.98 with a sum of ranks of 503.50 (p=0.79), while the Blow Bottle group had a mean rank of 28.02 and a sum of ranks of 672.50. By day 7, the Acapella group's mean rank was 17.31 (sum of ranks = 415.50, p=0.000) compared to the Blow Bottle group's 31.69 (sum of ranks = 760.50). For peak expiratory flow rate, no significant differences were found between the groups at day 1 (Acapella: mean rank = 28.06, sum of ranks = 673.50, p=0.078; Blow Bottle: mean rank = 20.94, sum of ranks = 502.50) and day 7 (Acapella: mean rank = 23.77, sum of ranks = 570.50, p=0.717; Blow Bottle: mean rank = 25.23, sum of ranks = 605.50). Similar trends were observed in the six-minute walk test results. Conclusion: The study found that both Acapella and blow bottle devices effectively improve oxygen saturation in post COVID-19 patients, but do not significantly affect peak expiratory flow rate, shortness of breath, and six-minute walk distance. These findings suggest that while these devices are beneficial for enhancing oxygenation, a more comprehensive respiratory rehabilitation approach is necessary for addressing the full spectrum of respiratory complications in post COVID-19 patients.

Mindfulness training in healthcare professions: A scoping review of systematic reviews.

The effectiveness of mindfulness training (MT) on mental health and wellbeing in different groups and contexts is well-established. However, the effect of MT on different healthcare professionals' (HCPs) mental health and wellbeing needs to be synthesised, along with a focus on outcomes that are specifically relevant to healthcare settings. The aim of this study is to summarise the effect of MT interventions on HCPs' mental health and wellbeing, to explore its effect on communication skills and to identify potential gaps in the literature. A scoping review of systematic reviews (SRs) investigating MT interventions in HCPs was conducted. A comprehensive systematic search was conducted from database inception to 22 February 2023 on Ovid MEDLINE, Ovid Embase, Scopus, Cochrane (CENTRAL), EBSCHOhost CINAHL, Ovid PsycINFO, Web of Science (Core Collection), OpenGrey, TRIP Database and Google Scholar. Snowballing of reference lists and hand-searching were utilised. Risk of bias and quality of included SRs were assessed using the ROBIS and AMSTAR2 tools. Sixteen SRs were included in this review. We found substantial evidence for MT interventions improving mental health and wellbeing across different HCPs, with the exception of burnout, where evidence is mixed. There is a paucity of SRs evaluating communication skills other than empathy. However, the available evidence is suggestive of improvements in self-reported empathy. Details of MT fidelity and dosage are largely absent in the SRs, as is study populations from representative EDI samples. Synthesis of SRs suggests that MT improves mental health and wellbeing in HCPs. The exception is burnout, where results are inconclusive. Insufficient data exists to evaluate effects of MT on the full spectrum of communication skills. Other HCPs than medicine and nursing are inadequately represented. Further research is required that considers the specific target population of HCPs and MT curriculum, and reports on fidelity, dosage and the effects on communication skills.

On the maximum age resolution achievable through stellar population synthesis models

ABSTRACT As the reconstruction of the star formation histories (SFHs) of galaxies from spectroscopic data becomes increasingly popular, we explore the best age resolution achievable with stellar population synthesis (SPS) models, relying on different constraints: broad-band colours, absorption indices, a combination of the two, and the full spectrum. We perform idealized experiments on SPS models and show that the minimum resolvable relative duration of a star formation episode (time difference between 10 per cent and 90 per cent of the stellar mass formed divided by the median age) is never better than 0.4, even when using spectra with signal-to-noise ratio (SNR) larger than 100 per Å. Typically, the best relative age resolution ranges between 0.4 and 0.7 over most of the age–metallicity plane, corresponding to minimum bin sizes for SFH sampling between 0.15 and 0.25 dex. This resolution makes the spectroscopic exploration of distant galaxies mandatory in order to reconstruct the early phases of galaxies’ SFHs. We show that spectroscopy with ${\rm SNR} \gtrsim 20\,$ Å−1 is essential for good age resolution. Remarkably, using the full spectrum does not prove significantly more effective than relying on absorption indices, especially at SNR ≲ 20 Å−1. We discuss the physical origins of the age resolution trends as a function of age and metallicity, and identify the presence of maxima in age resolution (i.e. minima in measurable relative time duration) at the characteristic ages that correspond to quick time variations in spectral absorption features. We connect these maxima to bumps commonly observed in reconstructed SFHs.

Application of near-infrared hyperspectral imaging for determination of cheese chemical composition

Cheeses vary in chemical composition as they have different applications according to the technological features; some hard cheeses are consumed fresh while melting is a desirable characteristic for others. The conventional reference methods for determination of cheese composition and quality are accurate, but include physical-chemical analyses that are time-consuming and require use of chemical reagents. The objective of this work was to apply near-infrared hyperspectral imaging (NIR-HSI) as a fast method for prediction and visualization of spatial distribution of chemical composition of different types of cheeses (mozzarela, requeijão do norte, minas meia cura, coalho, prato). Moisture, fat, protein, and free oil were measured, and used as reference for prediction models, while spectral information extracted from images in the range of 928–2524 nm were used as predictors. Partial Least Squares (PLS) regression models were built with full spectra and using only few selected regions with higher importance, which were applied to the images to build chemical maps and visualize the spatial variation of the cheese composition. The regression models were able to predict moisture (R2P = 0.92, RMSEP = 1.1%); fat (R2P = 0.84, RMSEP = 1.5%); protein (R2P = 0.80, RMSEP = 1.8%); and free oil (R2P =0.64, RMSEP = 0.5%) for an external set of samples, while requiring a small number of latent variables (LVs) (between 3 and 4). The chemical maps allowed visualization of the spatial distribution for each attribute, demonstrating that the composition may vary within sample. The study demonstrated the potential of NIR-HSI for the determination of cheese composition and possible application to cheese quality control.

The next frontier of healthcare-associated infection (HAI) surveillance metrics: Beyond device-associated infections.

In recent years, it has become increasingly evident that surveillance metrics for invasive device-associated infections (ie, central-line-associated bloodstream infections, ventilator-associated pneumonias, and catheter-associated urinary tract infections) do not capture all harms; they capture only a subset of healthcare-associated infections (HAIs). Although prevention of device-associated infections remains critical, we need to address the full spectrum of potential harms from device use and non-device-associated infections. These include complications associated with additional devices, such as peripheral venous and arterial catheters, non-device-associated infections such as nonventilator hospital-acquired pneumonia, and noninfectious device complications such as trauma, thrombosis, and acute lung injury. As authors of the device-associated infection sections in the SHEA/IDSA/APIC Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals, we highlight catheter-associated urinary tract infection as an example of the strengths and limitations of the current emphasis on device-associated infection surveillance, suggest performance metrics that present a more comprehensive picture of patient harm, and provide a high-level overview of similar issues with other infection surveillance measures.

Oxygen Vacancy Defect Enhanced NIR-II Photothermal Performance of BiOxCl Nanosheets for Combined Phototherapy of Cancer Guided by Multimodal Imaging.

Narrow photo-absorption range and low carrier utilization are significant barriers that restrict the antitumor efficiency of 2D bismuth oxyhalide (BiOX, X = Cl, Br, I) nanosheets (NSs). Introducing oxygen vacancy (OV) defects can expand the absorption range and improve carrier utilization, which are crucial but also challenging. In this study, a series of BiOxCl NSs with different OV defect concentrations (x = 1, 0.7, 0.5) is developed, which shows full spectrum absorption and strong absorption in the second near-infrared region (NIR-II). Density functional theory calculations are utilized to calculate the crystal structure and density states of BiOxCl, which confirm that part of the carriers is separated by OV enhanced internal electric field to improve carrier utilization. The carriers without redox reaction can be trapped in the OV, leading to great majority of photo-generated carriers promoting the photothermal performance. Triggered by single NIR-II (1064nm), BiOxCl NSs' bidirectional efficient utilization of carriers achieves synchronously combined phototherapy, leading to enhanced tumor ablation and multimodal diagnostic in vitro and vivo. It is thus believed that this work provides an innovative strategy to design and construct nanoplatforms of indirect band gap semiconductors for clinical phototheranostics.

Data mining of reference intervals for serum creatinine: an improvement in glomerular filtration rate estimating equations based on Q-values.

Glomerular filtration rate (GFR) estimating equations based on rescaled serum creatinine (SCr/Q) have shown better performance, where Q represents the median SCr for age- and sex-specific healthy populations. However, there remains a scarcity of investigations in China to determine this value. We aimed to develop Chinese age- and sex-specific reference intervals (RIs) and Q-values for SCr and to validate the equations incorporating new Q-values. We included 117,345 adults from five centers for establishing RIs and Q-values, and 3,692 participants with reference GFR (rGFR, 99mTc-DTPA renal dynamic imaging measurement) for validation. Appropriate age partitioning was determined using the decision tree method. Lower and upper reference limits and medians were calculated using the refineR algorithm, and Q-values were determined accordingly. We evaluated the full age spectrum (FAS) and European Kidney Function Consortium (EKFC) equations incorporating different Q-values considering bias, precision (interquartile range, IQR), and accuracy (percentage of estimates within ±20 % [P20] and ±30 % [P30] of rGFR). RIs for males were: 18-79 years, 55.53-92.50 μmol/L;≥80 years, 54.41-96.43 μmol/L. RIs for females were: 18-59 years, 40.42-69.73 μmol/L; 60-79 years, 41.16-73.69 μmol/L;≥80 years, 46.50-73.20 μmol/L. Q-values were set at 73.82 μmol/L (0.84 mg/dL) for males and 53.80 μmol/L (0.61 mg/dL) for females. After validation, we found that the adjusted equations exhibit less bias, improved precision and accuracy, and increased agreement of GFR categories. We determined Chinese age- and sex-specific RIs and Q-values for SCr. The adjustable Q-values provide an effective alternative to obtain valid equations for estimating GFR.

Behavioral Phenotypes and Comorbidity in 3q29 Deletion Syndrome: Results from the 3q29 Registry.

3q29 deletion syndrome (3q29del) is associated with a significantly increased risk for neurodevelopmental and neuropsychiatric disorders. However, the full spectrum of behavioral phenotypes associated with 3q29del is still evolving. Individuals with 3q29del (n = 96, 60.42% male) or their guardian completed the Achenbach Child or Adult Behavior Checklist (CBCL/ABCL) via the online 3q29 registry (3q29deletion.org). Typically developing controls (n = 57, 49.12% male) were ascertained as a comparison group. We analyzed mean performance on the CBCL/ABCL for individuals with 3q29del and controls across composite, DSM-keyed, and developmental scales; and the relationship between CBCL/ABCL performance and clinical and developmental phenotypes for individuals with 3q29del. Individuals with 3q29del showed significantly elevated behavioral and developmental impairment relative to controls across CBCL/ABCL domains. A substantial proportion of study participants with 3q29del scored in the Borderline or Clinical range for composite and DSM-keyed scales, indicating significant behavioral problems that may require clinical evaluation. We found that the preschool CBCL DSM-keyed autism spectrum problems scale is a potential screening tool for autism spectrum disorder (ASD) for individuals with 3q29del; CBCL/ABCL DSM-keyed scales were not accurate screeners for anxiety disorders or attention-deficit/hyperactivity disorder (ADHD) in our study sample. We identified a high degree of psychiatric comorbidity in individuals with 3q29del, with 60.42% (n = 58) of individuals with 3q29del scoring in the Borderline or Clinical range on two or more DSM-keyed CBCL/ABCL scales. Finally, we found that the degree of developmental delay in participants with 3q29del does not explain the increased behavioral problems observed on the CBCL/ABCL. The CBCL/ABCL can be used as screening tools in populations such as 3q29del, even in the presence of substantial psychiatric comorbidity. These results expand our understanding of the phenotypic spectrum of 3q29del and demonstrate an effective method for recruiting and phenotyping a large sample of individuals with a rare genetic disorder.

0D/2D Bi2WO6:Yb3+,Tm3+/Bi12O17Cl2 S-scheme heterojunction photocatalyst with enhanced full spectrum light activity by upconversion luminescence

To effectively utilize near-infrared light in the solar spectrum, expanding the spectral response range of photocatalysts is one of the main issues at present. Herein, a novel 0D/2D Bi2WO6:Yb3+, Tm3+/Bi12O17Cl2 S-scheme heterostructure with full spectral response is successfully synthesized through a hydrothermal method. The optimized Bi2WO6:Yb3+,Tm3+/Bi12O17Cl2 (1:1) photocatalyst degraded 68.2% and 59.1% of methylene blue (MB) and Rhodamine B (RhB) at 980 nm NIR light irradiation for 240 min, and the degradation of MB and RhB was 96.1% and 92.3% under visible light irradiation for 40 min, respectively. The enhanced photocatalytic activity could be attributed to these synergistic effects including the unique 0D/2D contact interface, the expanded photoresponse range, enhanced upconversion luminescence, as well as efficient energy transfer process between Yb3+/Tm3+ and Bi2WO6. Based on characterization and photocatalytic experiments, the introduction of Bi2WO6:Yb3+, Tm3+ can construct S-scheme heterojunctions with Bi12O17Cl2 and produce a full-spectrum response to sunlight. The result, the Bi2WO6:Yb3+, Tm3+/Bi12O17Cl2 photocatalysts possessed effective charge distribution and migration and maintained the excellent redox capacity of semiconductor materials. The hydroxyl radicals (·OH), superoxide radicals (·O2), and holes (h+) as active species played crucial roles in the degradation process. This work describes a potential method to construct S-scheme photocatalyst with great upconversion activity that possesses full spectral response for water pollution control.

Detection of Specific Immunoglobulins in the Saliva of Patients With Mild COVID-19.

Saliva has many advantages over blood as a biofluid, so using it for measuring and monitoring antibody responses in COVID-19 would be highly valuable. To assess the value of saliva-based IgG and IgM/IgA antibody testing in COVID-19, this cross-sectional pilot study evaluated the accuracy of salivary and serum IgG and IgM/IgA for detecting mild COVID-19 and their correlation. Fifty-one patients with mild COVID-19 (14-28 days post-symptom onset) were included in the study. Enzyme-linked immunosorbent assays (ELISA) were used to measure IgG and IgM/IgA responses to SARS-CoV-2 spike protein in both serum and saliva samples using a slightly modified protocol for saliva samples. Saliva-based IgG testing had 30% sensitivity and 100% specificity, with a positive predictive value (PPV) of 100% and a negative predictive value (NPV) of 50%. Saliva-based IgM/IgA testing had 13.2% sensitivity and 100% specificity, with a PPV of 100% and an NPV of 28.3%. Blood and saliva IgG values were positively correlated. Saliva currently has limited diagnostic value for COVID-19 testing, at least for mild disease. Nevertheless, the significant positive correlation between blood and saliva IgG titers indicates that saliva might be a complementary biofluid for assessing systemic antibody responses to the virus, especially if the assay is further optimized across the full disease spectrum.

Advanced Nanomaterial-Based Biosensors for N-Terminal Pro-Brain Natriuretic Peptide Biomarker Detection: Progress and Future Challenges in Cardiovascular Disease Diagnostics.

Cardiovascular diseases (CVDs) represent a significant challenge in global health, demanding advancements in diagnostic modalities. This review delineates the progressive and restrictive facets of nanomaterial-based biosensors in the context of detecting N-terminal pro-B-type natriuretic peptide (NT-proBNP), an indispensable biomarker for CVD prognosis. It scrutinizes the escalation in diagnostic sensitivity and specificity attributable to the incorporation of novel nanomaterials such as graphene derivatives, quantum dots, and metallic nanoparticles, and how these enhancements contribute to reducing detection thresholds and augmenting diagnostic fidelity in heart failure (HF). Despite these technological strides, the review articulates pivotal challenges impeding the clinical translation of these biosensors, including the attainment of clinical-grade sensitivity, the substantial costs associated with synthesizing and functionalizing nanomaterials, and their pragmatic deployment across varied healthcare settings. The necessity for intensified research into the synthesis and functionalization of nanomaterials, strategies to economize production, and amelioration of biosensor durability and ease of use is accentuated. Regulatory hurdles in clinical integration are also contemplated. In summation, the review accentuates the transformative potential of nanomaterial-based biosensors in HF diagnostics and emphasizes critical avenues of research requisite to surmount current impediments and harness the full spectrum of these avant-garde diagnostic instruments.

Abstract IA009: Scars of faulty DNA repair in cancer whole genomes

Abstract Cancer genomes provide a record of the genetic alterations acquired from DNA damage and DNA repair defects during normal cell development and carcinogenesis. Genome-wide somatic alteration patterns in BRCA1-deficient (BRCA1d) and BRCA2-deficient (BRCA2d) cancers are attributed to a deficiency in homologous recombination (HR), a major pathway for the repair of double-strand breaks (DSBs) in human cells. Some of these mutational patterns may reflect specific error-prone repair mechanisms of DSB repair that cells use in the absence of HR. Such mutational patterns can provide biomarkers of HR-deficiency and help identify clinically relevant therapeutic vulnerabilities. HRD is has been associated with specific DNA rearrangements and cytogenetic aberrations. Paradoxically, the types of DNA rearrangements specifically associated with HR-deficient (HRD) cancers only minimally impact chromosomal structure. Addressing this, we combined a genome graph analysis of short-read whole genome sequencing (WGS) profiles across thousands of tumors with deep linked-read (LR) WGS of 46 BRCA1- or BRCA2-mutant breast cancers to discover a distinct class of HR deficiency-enriched rearrangements called reciprocal pairs. LR WGS showed that reciprocal pairs with identical rearrangement orientations gave rise to one of two distinct chromosomal outcomes, distinguishable only with long molecule data. While one (cis) outcome corresponded to the copy and pasting of a small segment to a distant site, a second (trans) outcome was a quasi-balanced translocation or multi-megabase inversion with substantial (10kb) duplications at each junction. We propose an HR-independent replication restart repair mechanism to explain the full spectrum of reciprocal pair outcomes. LR WGS additionally identified single-strand annealing (SSA) as a BRCA2-deficiency specific repair pathway in human cancers. Integrating these features in a classifier improved discrimination between BRCA1- vs. BRCA2-deficient genomes. In conclusion, our data reveal classes of BRCA1- and BRCA2-deficiency specific rearrangements as a source of cytogenetic aberrations in HRD cells. Citation Format: Jeremy Setton, Simon Powell, Marcin Imielinski. Scars of faulty DNA repair in cancer whole genomes [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: DNA Damage Repair: From Basic Science to Future Clinical Application; 2024 Jan 9-11; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2024;84(1 Suppl):Abstract nr IA009.

Realization of qualitative to semi-quantitative trace detection via SERS-ICA based on internal standard method

Surface-enhanced Raman spectroscopy (SERS) can quickly identify molecular fingerprints and has been widely used in the field of rapid detection. However, the non-uniformity inherent in SERS substrate signals, coupled with the finite nature of the detection object, significantly hampers the advancement of SERS. Nowadays, the existing mature immunochromatographic assay (ICA) method is usually combined with SERS technology to address the defects of SERS detection. Nevertheless, the porous structure of the strip will also affect the signal uniformity during detection. Obviously, a method using SERS-ICA is needed to effectively solve signal fluctuations, improve detection accuracy, and has certain versatility. This paper introduces an internal standard method combining deep learning to predict and process Raman data. Based on the signal fluctuation of single-antigen SERS-ICA test strip, the double-antigen SERS-ICA test strip was constructed. The full spectrum Raman data of double-antigen SERS-ICA test strip was normalized by the sum of two characteristic peaks of internal standard molecules, and then processed by deep learning algorithm. The Relative Standard Deviation (RSD) of Raman data of bisphenol A was compared before and after internal standard normalization of double-antigen SERS-ICA test strip. The RSD processed by this method was increased by 3.8 times. After normalization, the prediction accuracy of Root Mean Square Error (RMSE) is improved by 2.66 times, and the prediction accuracy of R-square (R2) is increased from 0.961 to 0.994. The results showed that RMSE and R2 were used to comprehensively predict the collected data of double-antigen SERS-ICA test strip, which could effectively improve the prediction accuracy. The internal standard algorithm can effectively solve the challenges of uneven hot spots and poor signal reproducibility on the test strip to a certain extent, so as to improve the semi-quantitative accuracy.

Migration and sustainable development.

To understand the implications of migration for sustainable development requires a comprehensive consideration of a range of population movements and their feedback across space and time. This Perspective reviews emerging science at the interface of migration studies, demography, and sustainability, focusing on consequences of migration flows for nature-society interactions including on societal outcomes such as inequality; environmental causes and consequences of involuntary displacement; and processes of cultural convergence in sustainability practices in dynamic new populations. We advance a framework that demonstrates how migration outcomes result in identifiable consequences on resources, environmental burdens and well-being, and on innovation, adaptation, and challenges for sustainability governance. We elaborate the research frontiers of migration for sustainability science, explicitly integrating the full spectrum of regular migration decisions dominated by economic motives through to involuntary displacement due to social or environmental stresses. Migration can potentially contribute to sustainability transitions when it enhances well-being while not exacerbating structural inequalities or compound uneven burdens on environmental resources.

In situ synthesis of graphitic carbon nitride nanosheet/Ti3C2Tx MXene/TiO2 Z-scheme heterojunctions boosting charge transfer for full-spectrum driven photocatalytic sterilization

The development of a full-spectrum responsive photocatalytic germicide with excellent charge separation efficiency to harvest high antimicrobial efficacy is a key goal yet a challenging conundrum. Herein, graphitic carbon nitride nanosheet (PCNS)/Ti3C2Tx MXene/TiO2 (PMT) Z-scheme heterojunctions with robust interface contact were crafted by in situ interfacial engineering. The strong internal electrical field (IEF) from PCNS to TiO2, evinced by the Kelvin Probe Force Microscopy (KPFM) characterization, can obtain high charge separation efficiency with 73.99%, compared to Schottky junction PCNS/Ti3C2Tx (PM, 32.88%) and PCNS (17.70%). The Ti3C2Tx component can not only serve as a transfer pathway to accelerate the recombination of photoexcited electrons of TiO2 and holes of PCNS under the Ultraviolet–visible (UV–vis) light irradiation, but also replenish the photogenic electron concentrations to semiconductors in the near-infrared (NIR) light illumination. Meanwhile, the increased temperature due to the localized surface plasmon resonance (LSPR) can further boost the electronic activity to the generation of reactive oxygen species (ROS). Taken together, the PMT performs a high disinfection efficiency up to 99.40% under full solar spectrum illumination, 3.88 and 9.75 times higher than PCNS and TiO2, respectively, surpassing many reported Z-scheme heterojunctions. This work offers guidance for the design of Z-scheme heterojunction with the implanting of plasmons to secure excellent full-spectrum responsive photocatalytic sterilization performance.

Influenza associated cardiac arrhythmia- a systematic review

BackgroundInfluenza infection is rarely associated with cardiac conduction disorder. Cardiac arrhythmias due to such an infection have a full spectrum with ventricular arrythmias being the most common. MethodsIn our systematic review from PubMed, OVID Medline and EMBASE we have identified 23 articles describing arrythmias associated with different influenza infection. Most of them were case reports where ventricular arrhythmias were the most common. ResultsComplete heart block after influenza infection is usually temporary and a permanent pacemaker is rarely needed. There are reports of Influenza associated with arrhythmias in adults, neonates, and even fetuses in pregnant woman. Different mechanisms were described in literatures by which influenza causes arrhythmias such as interleukin 6 & tumor necrosis factor-alpha mediated inflammatory response, sympathetic overactivation, focal myocarditis and cleavage of angiotensin converting enzyme 2 protein which is cardioprotective. ConclusionsACE 2 binder influenza viruses have more prone to be associated with cardiac conduction disorder. Oseltamivir for influenza infection is also associated with bradycardia and can shorten or lengthen QT segment. Influenza vaccination has found to be protective from cardiac arrhythmia.

Ultra-simplified diffraction-based computational spectrometer

Miniaturizing spectrometers for compact and cost-effective mobile platforms is a major challenge in current spectroscopy research, where conventional spectrometers are impractical due to their bulky footprint. Existing miniaturized designs primarily rely on precalibrated response functions of nanophotonic structures to encode spectral information captured in a snapshot by detector arrays. Accurate spectrum reconstruction is achieved through computational techniques, but this requires precise component design, high-precision fabrication, and calibration. We propose an ultra-simplified computational spectrometer that employs a one-to-broadband diffraction decomposition strategy facilitated by a numerical regularized transform that depends only on the spectrum of the diffracted radiation. The key feature of our design is the use of a simple, arbitrarily shaped pinhole as the partial disperser, eliminating the need for complex encoding designs and full spectrum calibration. Our spectrometer achieves a reconstructed spectral peak location accuracy of better than 1 nm over a 200 nm bandwidth and excellent resolution for peaks separated by 3 nm in a bimodal spectrum, all within a compact footprint of under half an inch. Notably, our approach also reveals a breakthrough in broadband coherent diffractive imaging without requiring any prior knowledge of the broadband illumination spectrum, assumptions of non-dispersive specimens, or correction for detector quantum efficiency.

A stable and efficient hydrogel/sponge solar evaporator with splendid water supply

Solar-driven interfacial evaporation is an effective and realizable way of water purification. However, a short supply of water limits the evaporation performance of evaporator greatly. Here, an integrated photothermal evaporator owning double-layer structure of hydrogel and sponge with strong water transport ability is successfully prepared by cross-linking and dopamine modification. Abundant pores and hydrophilic functional groups in hydrogel and modified sponge benefit to enhance water transport of the whole evaporator and further relieve salt accumulation. Carbon black having the advantages of low cost and full spectrum absorption is dispersed into hydrogel networks to improve the capacity of photothermal conversion. Under the illumination of 1 kW m−2, the evaporator exhibits an excellent evaporation rate of 1.71 kg m-2h−1, corresponding to an evaporation efficiency of 93.8 %. Furthermore, the evaporator shows excellent stability during 8 cycles of solar evaporation. And the evaporator demonstrates superior salt tolerance in 3.5 wt% NaCl solution during the continuous evaporation of 8 h and has an outstanding efficiency of 99.8 % in 4-NP wastewater purification. The outdoor experiment proves that the evaporator of 1 m2 can produce 7.28 L of fresh water per day, which meet the drinking water demand of two adults. The hydrogel/sponge integrated photothermal evaporator has great application potential in seawater desalination and wastewater purification.