Crossed renal ectopia with rectal cancer: A case report.

BACKGROUND: Crossed renal ectopia (CRE) occurs when one kidney crosses the midline from the primary side to the contralateral side while the ureter remains on the primary side. Rectal cancer, one of the most common malignant tumors of the digestive tract, refers to cancer from the dentate line to the rectosigmoid junction. The concurrent presentation of CRE alongside rectal cancer is an uncommon clinical observation. CASE SUMMARY: Herein, we report a 69-year-old male patient with rectal cancer who was diagnosed with CRE via computed tomography during hospitalization. Following thorough preoperative evaluations, the patient underwent Dixon surgery. CONCLUSION: We performed laparoscopic radical resection of rectal cancer and adequate lymph node removal in a patient with CRE with no postoperative discomfort.

The multi-dimensional challenges of controlling respiratory virus transmission in indoor spaces: Insights from the linkage of a microscopic pedestrian simulation and SARS-CoV-2 transmission model.

SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen transmission and dictate the outcomes of non-pharmaceutical interventions is important for the informed and safe use of indoor spaces. To better understand these complex interactions, we developed the Pedestrian Dynamics-Virus Spread model (PeDViS), an individual-based model that combines pedestrian behaviour models with virus spread models incorporating direct and indirect transmission routes. We explored the relationships between virus exposure and the duration, distance, respiratory behaviour, and environment in which interactions between infected and uninfected individuals took place and compared this to benchmark 'at risk' interactions (1.5 metres for 15 minutes). When considering aerosol transmission, individuals adhering to distancing measures may be at risk due to the buildup of airborne virus in the environment when infected individuals spend prolonged time indoors. In our restaurant case, guests seated at tables near infected individuals were at limited risk of infection but could, particularly in poorly ventilated places, experience risks that surpass that of benchmark interactions. Combining interventions that target different transmission routes can aid in accumulating impact, for instance by combining ventilation with face masks. The impact of such combined interventions depends on the relative importance of transmission routes, which is hard to disentangle and highly context dependent. This uncertainty should be considered when assessing transmission risks upon different types of human interactions in indoor spaces. We illustrated the multi-dimensionality of indoor SARS-CoV-2 transmission that emerges from the interplay of human behaviour and the spread of respiratory viruses. A modelling strategy that incorporates this in risk assessments can help inform policy makers and citizens on the safe use of indoor spaces with varying inter-human interactions.

Predicting suicidality in late-life depression by 3D convolutional neural network and cross-sample entropy analysis of resting-state fMRI.

BACKGROUND: Predicting suicide is a pressing issue among older adults; however, predicting its risk is difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in predicting complex behavior such as suicide. As depression remained the strongest risk for suicide, we aimed to apply deep learning algorithms to identify suicidality in a group with late-life depression (LLD). METHODS: We enrolled 83 patients with LLD, 35 of which were non-suicidal and 48 were suicidal, including 26 with only suicidal ideation and 22 with past suicide attempts, for resting-state functional magnetic resonance imaging (MRI). Cross-sample entropy (CSE) analysis was conducted to examine the complexity of MRI signals among brain regions. Three-dimensional (3D) convolutional neural networks (CNNs) were used, and the classification accuracy in each brain region was averaged to predict suicidality after sixfold cross-validation. RESULTS: We found brain regions with a mean accuracy above 75% to predict suicidality located mostly in default mode, fronto-parietal, and cingulo-opercular resting-state networks. The models with right amygdala and left caudate provided the most reliable accuracy in all cross-validation folds, indicating their neurobiological importance in late-life suicide. CONCLUSION: Combining CSE analysis and the 3D CNN, several brain regions were found to be associated with suicidality.

The effectiveness of a virtual reality teaching module on advance care planning and advance decision for medical professionals.

BACKGROUND: The concepts of advance care planning (ACP) and advance decisions/directives (ADs) are widely recognized around the world. The Patient Right to Autonomy Act in Taiwan, the first of its kind in Asia, went into effect in 2019. However, a lack of knowledge and confidence regarding ACP and ADs is a barrier for medical professionals in discussing ACP and ADs with their patients. In addition, in Asian countries, physicians tend to make family-centered decisions, which influence how they can implement ADs. METHODS: Virtual reality (VR) is known for its immersive and interactive simulation experience and can upgrade medical education. We developed a VR teaching module to help medical professionals better understand ACP and ADs, with assessment tools integrated into the module. The participants were asked to answer seven knowledge items embedded in the module and fill out the surveys regarding attitudes toward ACP and ADs and confidence in implementing ADs before and after the module. They also reported behaviors related to ADs before and three months after the VR experience. RESULTS: From July 2020 to June 2022, 30 physicians and 59 nurses joined the study, and 78.7% of them had no prior experience in hospice care. After learning from the VR module, all 89 participants were able to answer all seven items correctly. The results showed a slightly more positive attitude toward ACP and ADs (scores: 32.29 ± 3.80 versus 33.06 ± 3.96, p < .05) and more confidence in implementing ADs (scores: 13.96 ± 2.68 versus 16.24 ± 2.67, p < .001) after the VR module. Changes in AD-related behaviors (scores: 11.23 ± 4.01 versus 13.87 ± 4.11, p < .001) were also noted three months after the VR experience. CONCLUSIONS: This study found that medical professionals may have better knowledge of ACP and ADs, slightly improved attitudes toward ACP and ADs, and greater confidence in implementing ADs after experiencing the VR module. Most importantly, the findings suggested that using a VR format may help motivate medical professionals to perform essential behaviors related to ADs, including introducing ADs to their patients and discussing ADs with their own family.

O-GlcNAcylation mediates H2O2-induced apoptosis through regulation of STAT3 and FOXO1.

The O-linked-ß-N-acetylglucosamine (O-GlcNAc) glycosylation (O-GlcNAcylation) is a critical post-translational modification that couples the external stimuli to intracellular signal transduction networks. However, the critical protein targets of O-GlcNAcylation in oxidative stress-induced apoptosis remain to be elucidated. Here, we show that treatment with H2O2 inhibited O-GlcNAcylation, impaired cell viability, increased the cleaved caspase 3 and accelerated apoptosis of neuroblastoma N2a cells. The O-GlcNAc transferase (OGT) inhibitor OSMI-1 or the O-GlcNAcase (OGA) inhibitor Thiamet-G enhanced or inhibited H2O2-induced apoptosis, respectively. The total and phosphorylated protein levels, as well as the promoter activities of signal transducer and activator of transcription factor 3 (STAT3) and Forkhead box protein O 1 (FOXO1) were suppressed by OSMI-1. In contrast, overexpressing OGT or treating with Thiamet-G increased the total protein levels of STAT3 and FOXO1. Overexpression of STAT3 or FOXO1 abolished OSMI-1-induced apoptosis. Whereas the anti-apoptotic effect of OGT and Thiamet-G in H2O2-treated cells was abolished by either downregulating the expression or activity of endogenous STAT3 or FOXO1. These results suggest that STAT3 or FOXO1 are the potential targets of O-GlcNAcylation involved in the H2O2-induced apoptosis of N2a cells.

Multiomics analysis reveals that microbiota regulate fat and muscle synthesis in chickens.

Intestinal microbiota regulates the host metabolism, including fat metabolism and muscle development in mammals; however, studies on the interactions between the gut microbiome and in chickens with respect to fat metabolism and muscle development are still rare. We established a germ-free (GF) chicken model to determine the transcriptomes and metabolomes of GF and specific-pathogen-free (SPF) chickens. Transcriptome analysis showed 1,282 differentially expressed genes (DEGs) in GF and SPF chickens. The expression levels of some genes related to muscle formation were very high in SPF chickens but low in GF chickens, suggesting that GF chickens had poorer muscle development ability. In contrast, the expression levels of some fat synthesis-related genes were very low in SPF chickens but high in GF chickens, suggesting that GF chickens had a more potent fat-synthesizing ability. Metabolome analysis revealed 62 differentially expressed metabolites (DEMs) in GF and SPF chickens, of which 35 were upregulated and 27 were downregulated. Furthermore, the Pearson correlation coefficient (PCC) was calculated, and an interaction network was constructed to visualize the crosstalk between the genes, metabolites, and gut microbiota in GF and SPF chickens. The top 10 gut microbiota were positively correlated with lipid metabolism including13(S)-HpODE and 9(S)-HpOTrE, and genes related to muscle development, while were negatively correlated with genes related to fat synthesis. In conclusion, this study indicated that chicken intestinal microbiota regulate host metabolism, inhibit fat synthesis, and may promote muscle development.

Cognitive protection and brain entropy changes from omega-3 polyunsaturated fatty acids supplement in late-life depression: A 52-week randomized controlled trial.

BACKGROUND: Late-life depression (LLD) is associated with risk of dementia, yet intervention of LLD provides an opportunity to attenuate subsequent cognitive decline. Omega-3 polyunsaturated fatty acids (PUFAs) supplement is a potential intervention due to their beneficial effect in depressive symptoms and cognitive function. To explore the underlying neural mechanism, we used resting-state functional MRI (rs-fMRI) before and after omega-3 PUFAs supplement in older adults with LLD. METHODS: A 52-week double-blind randomized controlled trial was conducted. We used multi-scale sample entropy to analyze rs-fMRI data. Comprehensive cognitive tests and inflammatory markers were collected to correlate with brain entropy changes. RESULTS: A total of 20 patients completed the trial with 11 under omega-3 PUFAs and nine under placebo. While no significant global cognitive improvement was observed, a marginal enhancement in processing speed was noted in the omega-3 PUFAs group. Importantly, participants receiving omega-3 PUFAs exhibited decreased brain entropy in left posterior cingulate gyrus (PCG), multiple visual areas, the orbital part of the right middle frontal gyrus, and the left Rolandic operculum. The brain entropy changes of the PCG in the omega-3 PUFAs group correlated with improvement of language function and attenuation of interleukin-6 levels. LIMITATIONS: Sample size is small with only marginal clinical effect. CONCLUSION: These findings suggest that omega-3 PUFAs supplement may mitigate cognitive decline in LLD through anti-inflammatory mechanisms and modulation of brain entropy. Larger clinical trials are warranted to validate the potential therapeutic implications of omega-3 PUFAs for deterring cognitive decline in patients with late-life depression.

Morphine- and foot shock-responsive neuronal ensembles in the VTA possess different connectivity and biased GPCR signaling pathway.

Background: Neurons in the ventral tegmental area (VTA) are sensitive to stress and their maladaptation have been implicated in the psychiatric disorders such as anxiety and addiction, etc. The cellular properties of the VTA neurons in response to different stressors related to different emotional processing remain to be investigated. Methods: By combining immediate early gene (IEG)-dependent labeling, rabies virus tracing, ensemble-specific transcriptomic analysis and fiber photometry recording in the VTA of male mice, the spatial distribution, brain-wide connectivity and cellular signaling pathways in the VTA neuronal ensembles in response to morphine (Mor-Ens) or foot shock (Shock-Ens) stimuli were investigated. Results: Optogenetic activation of the Mor-Ens drove approach behavior, whereas chemogenetic activation of the Shock-Ens increased the anxiety level in mice. Mor-Ens were clustered and enriched in the ventral VTA, contained a higher proportion of dopaminergic neurons, received more inputs from the dorsal medial striatum and the medial hypothalamic zone, and exhibited greater axonal arborization in the zona incerta and ventral pallidum. Whereas Shock-Ens were more dispersed, contained a higher proportion of GABAergic neurons, and received more inputs from the ventral pallidum and the lateral hypothalamic area. The downstream targets of the G protein and ß-arrestin pathways, PLCß3 and phosphorylated AKT1Thr308, were relatively enriched in the Mor-Ens and Shock-Ens, respectively. Cariprazine, the G-protein-biased agonist for the dopamine D2 receptor, increased the response of Mor-Ens to sucrose water and decreased the anxiety-like behavior during morphine withdrawal, whereas the ß-arrestin-biased agonist UNC9994 decreased the response of Shock-Ens to tail suspension. Conclusions: Taken together, these findings reveal the heterogeneous connectivity and signaling pathways of the VTA neurons in response to morphine and foot shock, providing new insights for development of specific interventions for psychiatric disorders caused by various stressors associated with different VTA neuronal functions.

Reexamining the effects of drug loading on the in vivo performance of PEGylated liposomal doxorubicin.

Higher drug loading employed in nanoscale delivery platforms is a goal that researchers have long sought after. But such viewpoint remains controversial because the impacts that nanocarriers bring about on bodies have been seriously overlooked. In the present study we investigated the effects of drug loading on the in vivo performance of PEGylated liposomal doxorubicin (PLD). We prepared PLDs with two different drug loading rates: high drug loading rate, H-Dox, 12.9% w/w Dox/HSPC; low drug loading rate, L-Dox, 2.4% w/w Dox/HSPC (L-Dox had about 5 folds drug carriers of H-Dox at the same Dox dose). The pharmaceutical properties and biological effects of H-Dox and L-Dox were compared in mice, rats or 4T1 subcutaneous tumor-bearing mice. We showed that the lowering of doxorubicin loading did not cause substantial shifts to the pharmaceutical properties of PLDs such as in vitro and in vivo stability (stable), anti-tumor effect (equivalent effective), as well as tissue and cellular distribution. Moreover, it was even more beneficial for mitigating the undesired biological effects caused by PLDs, through prolonging blood circulation and alleviating cutaneous accumulation in the presence of pre-existing anti-PEG Abs due to less opsonins (e.g. IgM and C3) deposition on per particle. Our results warn that the effects of drug loading would be much more convoluted than expected due to the complex intermediation between nanocarriers and bodies, urging independent investigation for each individual delivery platform to facilitate clinical translation and application.

Genome-wide DNA methylation analysis identifies potent CpG signature for temzolomide response in non-G-CIMP glioblastomas with unmethylated MGMT promoter: MGMT-dependent roles of GPR81.

PURPOSES: To identify potent DNA methylation candidates that could predict response to temozolomide (TMZ) in glioblastomas (GBMs) that do not have glioma-CpGs island methylator phenotype (G-CIMP) but have an unmethylated promoter of O-6-methylguanine-DNA methyltransferase (unMGMT). METHODS: The discovery-validation approach was planned incorporating a series of G-CIMP-/unMGMT GBM cohorts with DNA methylation microarray data and clinical information, to construct multi-CpG prediction models. Different bioinformatic and experimental analyses were performed for biological exploration. RESULTS: By analyzing discovery sets with radiotherapy (RT) plus TMZ versus RT alone, we identified a panel of 64 TMZ efficacy-related CpGs, from which a 10-CpG risk signature was further constructed. Both the 64-CpG panel and the 10-CpG risk signature were validated showing significant correlations with overall survival of G-CIMP-/unMGMT GBMs when treated with RT/TMZ, rather than RT alone. The 10-CpG risk signature was further observed for aiding TMZ choice by distinguishing differential outcomes to RT/TMZ versus RT within each risk subgroup. Functional studies on GPR81, the gene harboring one of the 10 CpGs, indicated its distinct impacts on TMZ resistance in GBM cells, which may be dependent on the status of MGMT expression. CONCLUSIONS: The 64 TMZ efficacy-related CpGs and in particular the 10-CpG risk signature may serve as promising predictive biomarker candidates for guiding optimal usage of TMZ in G-CIMP-/unMGMT GBMs.

Inferring bovine tuberculosis transmission between cattle and badgers via the environment and risk mapping.

Bovine tuberculosis (bTB), caused by Mycobacterium bovis, is one of the most challenging and persistent health issues in many countries worldwide. In several countries, bTB control is complicated due to the presence of wildlife reservoirs of infection, i.e. European badger (Meles meles) in Ireland and the UK, which can transmit infection to cattle. However, a quantitative understanding of the role of cattle and badgers in bTB transmission is elusive, especially where there is spatial variation in relative density between badgers and cattle. Moreover, as these two species have infrequent direct contact, environmental transmission is likely to play a role, but the quantitative importance of the environment has not been assessed. Therefore, the objective of this study is to better understand bTB transmission between cattle and badgers via the environment in a spatially explicit context and to identify high-risk areas. We developed an environmental transmission model that incorporates both within-herd/territory transmission and between-species transmission, with the latter facilitated by badger territories overlapping with herd areas. Model parameters such as transmission rate parameters and the decay rate parameter of M. bovis were estimated by maximum likelihood estimation using infection data from badgers and cattle collected during a 4-year badger vaccination trial. Our estimation showed that the environment can play an important role in the transmission of bTB, with a half-life of M. bovis in the environment of around 177 days. Based on the estimated transmission rate parameters, we calculate the basic reproduction ratio (R) within a herd, which reveals how relative badger density dictates transmission. In addition, we simulated transmission in each small local area to generate a first between-herd R map that identifies high-risk areas.

Optofluidic Accumulation of Silica Beads on Gel-Based Three-Dimensional SERS Substrate To Enhance Sensitivity Using Multiple Photonic Nanojets.

This paper presents a gel-based three-dimensional (3D) substrate for surface-enhanced Raman spectroscopy (SERS) mediated by photonic nanojets (PNJs) to enhance the sensitivity of SERS detection. The porous structure of the gel-based substrate allowed small molecules to diffuse into the substrate, while the placement of silica beads on the substrate surface resulted in the generation of photonic nanojets during SERS measurements. Because the gel-based SERS substrate had electromagnetic (EM) hot spots along the Z-direction for several tens of microns, the focuses of the PNJs, which were located a few microns away from the substrate surface, could excite the EM hot spots located within the substrate. Our objective was to maximize SERS signal intensity by coating the substrate with a close-packed array of silica beads to enable the generation of multiple PNJs. The bead array was formed using an optical fiber decorated with gold nanorods (AuNRs) to create a temperature gradient in a mixture containing silica beads, thereby enabling their arrangement and deposition in arbitrary locations across the substrate. In experiments, the Raman enhancement provided by multiple PNJs significantly exceeded that provided by single PNJs. The proposed PNJ-mediated SERS method reduced the limit of detection for malachite green by 100 times, compared to SERS results obtained using the same substrate without beads. The proposed enhancement scheme using a gel-based 3D SERS substrate with a close-packed array of silica beads could be utilized to achieve high-sensitivity SERS detection for a variety of molecules in a diverse range of applications.

Metasurfaces on silicon photonic waveguides for simultaneous emission phase and amplitude control.

Chip-scale photonic systems that manipulate free-space emission have recently attracted attention for applications such as free-space optical communications and solid-state LiDAR. Silicon photonics, as a leading platform for chip-scale integration, needs to offer more versatile control of free-space emission. Here we integrate metasurfaces on silicon photonic waveguides to generate free-space emission with controlled phase and amplitude profiles. We demonstrate experimentally structured beams, including a focused Gaussian beam and a Hermite-Gaussian TEM10 beam, as well as holographic image projections. Our approach is monolithic and CMOS-compatible. The simultaneous phase and amplitude control enable more faithful generation of structured beams and speckle-reduced projection of holographic images.

Surface Control Behavior toward Crystal Regulation and Anticorrosion Capacity for Zinc Metal Anodes.

The commercial application of high-safety aqueous zinc (Zn) secondary batteries is hindered by the poor cycling life of Zn metal anodes. Here we propose a dendrite growth and hydrogen evolution corrosion reaction mechanism from the binding energy of the deposited crystal plane on the Zn surface and the adsorption energy of H2O molecules on different crystal planes as well as the binding energy of H2O molecules with Zn2+ ions. The biomass-based alkyl polyglucoside (APG) surfactant is adopted as an electrolyte additive of 0.15% to regulate the preferential growth of a parallel Zn(002) plane and enhance the anticorrosion ability of Zn metal anodes. The robust binding and adsorption energies of APG with Zn2+ ions in the aqueous electrolyte and the Zn(002) plane on Zn surface generate a synergistic effect to increase the concentration of Zn2+ ions on the APG-adsorbed Zn(002) plane, endowing the continuous growth of the preferential parallel Zn(002) plane and the excellent anticorrosion capacity. Accordingly, the long-term cycle stability of 4000 h can be achieved for Zn anodes with APG additives, which is better than that with pure ZnSO4 electrolyte. With the addition of APG in the anolyte electrolyte, Zn-I2 full cells display excellent cycling performance (70 mAh g-1 after 20000 cycles) as compared with that without APG additives.

A novel method to jointly estimate transmission rate and decay rate parameters in environmental transmission models.

In environmental transmission, pathogens transfer from one individual to another via the environment. It is a common transmission mechanism in a wide range of host-pathogen systems. Incorporating environmental transmission in dynamic transmission models is crucial for gauging the effect of interventions, as extrapolating model results to new situations is only valid when the mechanisms are modelled correctly. The challenge in environmental transmission models lies in not jointly identifiable parameters for pathogen shedding, decay, and transmission dynamics. To solve this unidentifiability issue, we present a stochastic environmental transmission model with a novel scaling method for shedding rate parameter and a novel estimation method that distinguishes transmission rate and decay rate parameters. The core of our scaling and estimation method is calculating exposure and relating exposure to infection risks. By scaling shedding rate parameter, we standardize exposure to pathogens contributed by one infectious individual present during one time interval to one. The standardized exposure leads to a standard definition of transmission rate parameter applicable to scenarios with different decay rate parameters. Hence, we unify direct transmission (large decay rate) and environmental transmission in a continuous manner. More importantly, our exposure-based estimation method can correctly estimate back the transmission rate and the decay rate parameters, while the commonly used trajectory-based method failed. The reason is that exposure-based method gives the correct weight to infection data from previous observation periods. The correct estimation from exposure-based method will lead to more reliable predictions of intervention impact. Using the effect of disinfection as an example, we show how incorrectly estimated parameters may lead to incorrect conclusions about the effectiveness of interventions. This illustrates the importance of correct estimation of transmission rate and decay rate parameters for extrapolating environmental transmission models and predicting intervention effects.

[Application of Evidence-Based Smoking Cessation Nursing Interventions Increase the Quitting of Smoking in Hospitalized Patients].

BACKGROUND: The second-generation smoking cessation measures for inpatients in our hospital were provided primarily by physicians. Statistics from January to December 2019 showed a negative trend in the number of inpatient smoking cessation services and health education courses provided. PURPOSE: Purpose: In this study, a comprehensive systematic literature review on the application of smoking cessation interventions was conducted with the goal of helping enhance the inpatient quit rate at the author's hospital. RESOLUTION: The literature on smoking cessation interventions was reviewed, with the findings used to formulate a feasible plan for the implementation of an effective related intervention at our hospital. During the implementation process, the challenges encountered led to the formulation of strategies, including: 'conducting second-generation smoking cessation on-the-job training,' 'revising the referral process for patients taking smoking-cessation medications,' and 'adding patients who do not cease smoking to the referral process.' Data on the number of individuals attempting to quit smoking and the success rate of smoking cessation were collected. The baseline values before project implementation were compared with the values at 12 and 24-months posttest. RESULTS: The number of individuals receiving smoking cessation services increased from 85 people within 12 months to 105 people, and further increased to 125 people by the 24th month. Comparing the 3-month abstinence rates for 2019 and 2020, an increase from 31.36% before project implementation to 42.67% after implementation was observed, indicating a rise of 11.31%. Also, comparing the 6-month abstinence rates between 2019 and 2020, an increase from 27.16% before project implementation to 42.67% after implementation was observed, indicating a rise of 15.51%. The project outcomes calculated in December 2021 show a three-month abstinence rate of 44.40% and a six-month abstinence rate of 41.82%. CONCLUSIONS: The nursing interventions for smoking cessation in this project increased the abstinence rate among inpatients. Evidence-based practices, including earching for quality research evidence, utilizing the 7A framework to bridge evidence and clinical differences, and promoting the project using a collaborative cross-team approach, were the main factors contributing to the success of the project. The evidence-based application of smoking cessation strategies highlights the significant role played by nurses in enhancing the quality of care. The findings may serve as a reference for the future development of nursing project solutions.

In vivo delivery process and regulating mechanisms of lipid-based nanomedicines / 药学学报

Lipid-based nanocarrier is a classic drug delivery system with great biocompatibility and biodegradability. It can effectively reduce the toxicity of anti-tumor and anti-infective drugs in clinical practice. However, it has not yet met the clinical demand for enhanced therapeutic efficacy, and the clinical application is still very limited. The complex in vivo delivery process of lipid-based nanomedicine and the reciprocal interactions with body lead to unexpected changes in in vivo performance of nanomedicine and seriously hinder clinical translation. Therefore, the in-depth study of the relationships among intrinsic properties of lipid-based nanomedicine, the in vivo delivery process, and the regulatory mechanisms will not only provide guidance for the rational design of nanocarriers, but also promote the clinical translation and precision medicine of new lipid-based nanomedicine. In this review, we summarize the in vivo delivery process, regulating factors and intervention strategies for the in vivo delivery of lipid-based nanomedicine.

Environmental Protection or Self-Interest? The Public Accountability Moderates the Effects of Materialism and Advertising Appeals on the Pro-Environmental Behavior.

Background: Previous studies have examined the negative effects of materialism, which refers to the importance of possessing material wealth and image, on the pro-environmental behavior. Recently, a study found that highly materialistic individuals showed more pro-environmental behaviors involving self-benefit (vs other-benefit) appeals. However, previous studies ignored the role of public accountability. Purpose: This study aimed to explore the relationship between advertising appeals and the pro-environmental behavior of materialistic individuals in public (vs private) situations. Methods: This study used the material values scale to measure the materialistic extent and employed different advertising pictures. Meanwhile, Study 1(N=593) used the public cue, and Study 2 (N=622) used the eye cue to manipulate public accountability. Environmental donation was an indicator of the pro-environmental behavior. Results: Studies 1 and 2 found that the pro-environmental behavior of participants low in materialism was significantly higher than that of participants high in materialism involving other-benefit appeals, while this difference was not significant for pro-environmental behavior involving self-benefit appeals in the private situation. Participants with low and high materialism were not significantly different in the pro-environmental behavior involving self-benefit and other-benefit appeals in the public situation. Conclusion: The relationship between materialism and pro-environmental behavior involving self-benefit and other-benefit appeals can be moderated by the public accountability. In the private context, self-benefit appeals led materialistic people to engage in more pro-environmental behavior, while in the public context, the effectiveness of self-benefit and other-benefit appeals on the pro-environmental behavior of materialistic individuals was similar.

I-line photolithographic metalenses enabled by distributed optical proximity correction with a deep-learning model.

High pattern fidelity is paramount to the performance of metalenses and metasurfaces, but is difficult to achieve using economic photolithography technologies due to low resolutions and limited process windows of diverse subwavelength structures. These hurdles can be overcome by photomask sizing or reshaping, also known as optical proximity correction (OPC). However, the lithographic simulators critical to model-based OPC require precise calibration and have not yet been specifically developed for metasurface patterning. Here, we demonstrate an accurate lithographic model based on Hopkin's image formulation and fully convolutional networks (FCN) to control the critical dimension (CD) patterning of a near-infrared (NIR) metalens through a distributed OPC flow using i-line photolithography. The lithographic model achieves an average ΔCD/CD = 1.69% due to process variations. The model-based OPC successfully produces the 260 nm CD in a metalens layout, which corresponds to a lithographic constant k1 of 0.46 and is primarily limited by the resolution of the photoresist. Consequently, our fabricated NIR metalens with a diameter of 1.5 mm and numerical aperture (NA) of 0.45 achieves a measured focusing efficiency of 64%, which is close to the calculated value of 69% and among the highest reported values using i-line photolithography.

Avalanche photodiodes with multiple multiplication layers for coherent detection.

We demonstrate a novel avalanche photodiode (APD) design which fundamentally relaxes the trade-off between responsivity and saturation-current performance at receiver end in coherent system. Our triple In0.52Al0.48As based multiplication (M-) layers with a stepped electric (E-) field inside has more pronounced avalanche process with significantly less effective critical-field than the dual M-layer. Reduced E-field in active M-layers ensures stronger E-field allocation to the thick absorption-layer with a smaller breakdown voltage (Vbr) resulting in less serious space-charge screening effect, less device heating at high output photocurrent. Compared to the dual M-layer reference sample, the demonstrated APD exhibits lower punch-through (- 9 vs. - 24 V)/breakdown voltages (- 43 vs. - 51 V), higher responsivity (19.6 vs. 13.5 A/W), higher maximum gain (230 vs. 130), and higher 1-dB saturation-current (> 5.6 vs. 2.5 mA) under 0.95 Vbr operation. Extremely high saturation-current (> 14.6 mA), high responsivity (7.3 A/W), and decent O-E bandwidth (1.4 GHz) can be simultaneously achieved using the demonstrated APD with a 200 µm active window diameter. In coherent FMCW LiDAR test bed, this novel APD exhibits a larger signal-to-noise ratio and high-quality 3-D images than the reference dual M-layer and high-performance commercial p-i-n PD modules, while requiring significantly less optical local-oscillator (LO) power (0.5 vs 4 mW).