The miR165/166-PHABULOSA module promotes thermotolerance by transcriptionally and posttranslationally regulating HSFA1.

Heat stress (HS) adversely affects plant growth and productivity. The Class A1 HS transcription factors (HSFA1s) act as master regulators in the plant response to HS. However, how HSFA1-mediated transcriptional reprogramming is modulated during HS remains to be elucidated. Here, we report that a module formed by the microRNAs miR165 and miR166 and their target transcript, PHABULOSA (PHB), regulates HSFA1 at the transcriptional and translational levels to control plant HS responses. HS-triggered induction of MIR165/166 in Arabidopsis thaliana led to decreased expression of target genes including PHB. MIR165/166 overexpression lines and mutations in miR165/166 target genes enhanced HS tolerance, whereas miR165/166 knockdown lines and plants expressing a miR165/166-resistant form of PHB were sensitive to HS. PHB directly repressed the transcription of HSFA1s and globally modulated the expression of HS-responsive genes. PHB and HSFA1s share a common target gene, HSFA2, which is essential for activation of plant responses to HS. PHB physically interacted with HSFA1s and exerted an antagonistic effect on HSFA1 transcriptional activity. PHB and HSFA1s co-regulated transcriptome reprogramming upon HS. Together, these findings indicate that heat-triggered regulation of the miR165/166-PHB module controls HSFA1-mediated transcriptional reprogramming and plays a critical role during HS in Arabidopsis.

Building a novel TRUCK by harnessing the endogenous IFN-gamma promoter for cytokine expression.

Despite the remarkable success of chimeric antigen receptor (CAR) T therapy in hematological malignancies, its efficacy in solid tumors remains limited. Cytokine-engineered CAR T cells offer a promising avenue, yet their clinical translation is hindered by the risks associated with constitutive cytokine expression. In this proof-of-concept study, we leverage the endogenous interferon (IFN)-γ promoter for transgenic interleukin (IL)-15 expression. We demonstrate that IFN-γ expression is tightly regulated by T cell receptor signaling. By introducing an internal ribosome entry site IL15 into the 3' UTR of the IFN-γ gene via homology directed repair-mediated knock-in, we confirm that IL-15 expression can co-express with IFN-γ in an antigen stimulation-dependent manner. Importantly, the insertion of transgenes does not compromise endogenous IFN-γ expression. In vitro and in vivo data demonstrate that IL-15 driven by the IFN-γ promoter dramatically improves CAR T cells' antitumor activity, suggesting the effectiveness of IL-15 expression. Last, as a part of our efforts toward clinical translation, we have developed an innovative two-gene knock-in approach. This approach enables the simultaneous integration of CAR and IL-15 genes into TRAC and IFN-γ gene loci using a single AAV vector. CAR T cells engineered to express IL-15 using this approach demonstrate enhanced antitumor efficacy. Overall, our study underscores the feasibility of utilizing endogenous promoters for transgenic cytokines expression in CAR T cells.

Symmetric control of sister chromatid cohesion establishment.

Besides entrapping sister chromatids, cohesin drives other high-order chromosomal structural dynamics like looping, compartmentalization and condensation. ESCO2 acetylates a subset of cohesin so that cohesion must be established and only be established between nascent sister chromatids. How this process is precisely achieved remains unknown. Here, we report that GSK3 family kinases provide higher hierarchical control through an ESCO2 regulator, CRL4MMS22L. GSK3s phosphorylate Thr105 in MMS22L, resulting in homo-dimerization of CRL4MMS22L and ESCO2 during S phase as evidenced by single-molecule spectroscopy and several biochemical approaches. A single phospho-mimicking mutation on MMS22L (T105D) is sufficient to mediate their dimerization and rescue the cohesion defects caused by GSK3 or MMS22L depletion, whereas non-phosphorylable T105A exerts dominant-negative effects even in wildtype cells. Through cell fractionation and time-course measurements, we show that GSK3s facilitate the timely chromatin association of MMS22L and ESCO2 and subsequently SMC3 acetylation. The necessity of ESCO2 dimerization implicates symmetric control of cohesion establishment in eukaryotes.

Cohesin in DNA damage response and double-strand break repair.

Cohesin, a four-subunit ring comprising SMC1, SMC3, RAD21 and SA1/2, tethers sister chromatids by DNA replication-coupled cohesion (RC-cohesion) to guarantee correct chromosome segregation during cell proliferation. Postreplicative cohesion, also called damage-induced cohesion (DI-cohesion), is an emerging critical player in DNA damage response (DDR). In this review, we sum up recent progress on how cohesin regulates the DNA damage checkpoint activation and repair pathway choice, emphasizing postreplicative cohesin loading and DI-cohesion establishment in yeasts and mammals. DI-cohesion and RC-cohesion show distinct features in many aspects. DI-cohesion near or far from the break sites might undergo different regulations and execute different tasks in DDR and DSB repair. Furthermore, some open questions in this field and the significance of this new scenario to our understanding of genome stability maintenance and cohesinopathies are discussed.

UAV-based time-series phenotyping reveals the genetic basis of plant height in upland cotton.

Plant height (PH) is an important agronomic trait affecting crop architecture, biomass, resistance to lodging and mechanical harvesting. Elucidating the genetic governance of plant height is crucial because of the global demand for high crop yields. However, during the rapid growth period of plants the PH changes a lot on a daily basis, which makes it difficult to accurately phenotype the trait by hand on a large scale. In this study, an unmanned aerial vehicle (UAV)-based remote-sensing phenotyping platform was applied to obtain time-series PHs of 320 upland cotton accessions in three different field trials. The results showed that the PHs obtained from UAV images were significantly correlated with ground-based manual measurements, for three trials (R2 = 0.96, 0.95 and 0.96). Two genetic loci on chromosomes A01 and A11 associated with PH were identified by genome-wide association studies (GWAS). GhUBP15 and GhCUL1 were identified to influence PH in further analysis. We obtained a time series of PH values for three field conditions based on remote sensing with UAV. The key genes identified in this study are of great value for the breeding of ideal plant architecture in cotton.

Chiral Recognition of Chiral (Hetero)Cyclic Derivatives Probed by Tetraaza Macrocyclic Chiral Solvating Agents via 1H NMR Spectroscopy.

In the field of chiral recognition, chiral cyclic organic compounds, especially heterocyclic organic compounds, have attracted little attention and have been rarely studied as chiral substrates by means of 1H NMR spectroscopy. In this paper, enantiomers of thiohydantoin derivatives, representing typical five-membered N,N-heterocycles, have been synthesized and utilized for assignment of absolute configuration and analysis of enantiomeric excess. All enantiomers have been successfully differentiated with the assistance of novel tetraaza macrocyclic chiral solvating agents (TAMCSAs) by 1H NMR spectroscopy. Surprisingly, unprecedented nonequivalent chemical shift values (up to 2.052 ppm) of the NH proton of substrates have been observed, a new milestone in the evaluation of enantiomers. To better understand the intermolecular interactions between host and guest, Job plots and theoretical calculations of (S)-G1 and (R)-G1 with TAMCSA 1a were investigated and revealed significant geometric differentiation between the diastereomers. In order to evaluate practical applications of the present systems in analyzing optical purity of chiral substrates, enantiomeric excesses of a typical substrate (G1) with different optical compositions in the presence of a representative TAMCSA (1a) can be accurately calculated based on the integration of the NH proton's signal peaks. Importantly, this work provides a significant breakthrough in exploring and developing the chiral recognition of chiral heterocyclic organic compounds by 1H NMR spectroscopy.

Prognosis and therapy in thyroid cancer by gene signatures related to natural killer cells.

BACKGROUND: Natural killer (NK) cells are crucial to cancer development and prognosis. However, the role of NK cell-related genes in immunotherapy and the tumor immune microenvironment (TIME) is not well understood. This study aimed to develop reliable risk signatures associated with NK cell-related genes for predicting thyroid cancer (THCA). METHODS: The single-cell RNA sequencing (scRNA-seq) data from seven THCA samples (GSE184362) and bulk-RNA-seq data of 502 THCA patients (TCGA-THCA) were included. The scRNA-seq data was analyzed using the "Seurat" R package to identify differentially expressed genes in NK cells. The clustering analysis was carried out using the R package "ConsensusClusterPlus". The gene set variation analysis (GSVA) algorithm was applied to assess the variations in biological pathways among subtypes. The ESTIMATE algorithm was utilized to calculate the scores for stromal, immune and estimate variables. In addition, we used the single sample Gene Set Enrichment Analysis and CIBERSORT algorithms to assess the degree to which immune cells and pathways related to immunity were enriched based on the meta-cohort. In the TCGA-THCA cohort, the "glmnet" R package was used for the gene selection, and LASSO Cox analysis was used to construct prognostic features. The "maftools" R package was used to examine the somatic mutation landscape of THCA in both low- and high-risk groups. RESULTS: One-hundred and eighty-five NK cell marker genes were screened, and nine genes were associated with the THCA prognosis. KLF2, OSTF1 and TAPBP were finally identified and constructed a risk signature with significant prognostic value. KLF2 and OSTF1 were protective genes, and TAPBP was a risk gene. Patients at high risk had a considerably lower overall survival compared with those at low risk. Mutations in the TCGA-THCA cohort were predominantly C > T. Increased tumor mutation burden (TMB) levels were linked to overall survival. The low-risk H-TMB+ group had a better prognosis, while the high-risk L-TMB+ group had the worst prognosis. CONCLUSION: Natural killer cell-related genes KLF2, OSTF1 and TAPBP were used to develop a novel prognostic risk signature, offering a new perspective on the prognosis and treatment of THCA.

Direct ammonia oxidation (Dirammox) is favored over cell growth in Alcaligenes ammonioxydans HO-1 to deal with the toxicity of ammonium.

Bacteria capable of direct ammonia oxidation (Dirammox) play important roles in global nitrogen cycling and nutrient removal from wastewater. Dirammox process, NH3 → NH2 OH → N2 , first defined in Alcaligenes ammonioxydans HO-1 and encoded by dnf gene cluster, has been found to widely exist in aquatic environments. However, because of multidrug resistance in Alcaligenes species, the key genes involved in the Dirammox pathway and the interaction between Dirammox process and the physiological state of Alcaligenes species remain unclear. In this work, ammonia removal via the redistribution of nitrogen between Dirammox and microbial growth in A. ammonioxydans HO-1, a model organism of Alcaligenes species, was investigated. The dnfA, dnfB, dnfC, and dnfR genes were found to play important roles in the Dirammox process in A. ammonioxydans HO-1, while dnfH, dnfG, and dnfD were not essential genes. Furthermore, an unexpected redistribution phenomenon for nitrogen between Dirammox and cell growth for ammonia removal in HO-1 was revealed. After the disruption of the Dirammox in HO-1, more consumed NH4 + was recovered as biomass-N via rapid metabolic response and upregulated expression of genes associated with ammonia transport and assimilation, tricarboxylic acid cycle, sulfur metabolism, ribosome synthesis, and other molecular functions. These findings deepen our understanding of the molecular mechanisms for Dirammox process in the genus Alcaligenes and provide useful information about the application of Alcaligenes species for ammonia-rich wastewater treatment.

Superhydrophobic Tensile Designability of Silicone Rubber Composites.

Silicone rubber has broad applications in the field of industrial engineering due to its stable physical and chemical properties. However, the superhydrophobic properties, of silicone rubber, especially large deformation superhydrophobic properties, were not satisfactory for many harsh application environments and complex engineering structures. Here, we report the preparation of superhydrophobic tensile designable silicone rubber composites by a mixed deposition process that included powder deposition and smoke deposition. The infrared test showed that the deposited powder from silicone rubber combustion was mainly composed of SiO2 and short chain siloxane. The mixed deposited surface with a rich micro-nanostructure, which was the key to the formation of superhydrophobic properties. The water contact angle (WCA) and sliding angle (SA) of coating surface could reach 157.6° and 5° ± 1°, respectively, and the tensile designability of superhydrophobic surface is closely related to the prestretched process. In addition, bounce tests, high temperature tests, and solvent resistance tests showed the application potential of modified silicone rubber composites in the field of engineering.

Biodegradation characteristics and genomic analysis of a newly isolated indole-degrading strain Pseudomonas aeruginosa Jade-X.

Indole is a typical heterocyclic compound derived from tryptophan widespread in nature. Pseudomonas aeruginosa is one of the most common opportunistic pathogens everywhere in the world. Indole and P. aeruginosa will encounter inevitably; however, the indole transformation process by P. aeruginosa remains unclear. Herein, an indole-degrading strain of P. aeruginosa Jade-X was isolated from activated sludge. Strain Jade-X could degrade 1 mmol/L indole within 48 h with the inoculum size of 1% (v/v). It showed high efficiency in indole degradation under the conditions of 30-42 °C, pH 5.0-9.0, and NaCl concentration less than 2.5%. The complete genome of strain Jade-X was sequenced which was 6508614 bp in length with one chromosome. Bioinformatic analyses showed that strain Jade-X did not contain the indole oxygenase gene. Three cytochrome P450 genes were identified and up-regulated in the indole degradation process by RT-qPCR analysis, while cytochrome P450 inhibitors did not affect the indole degradation process. It suggested that indole oxidation was catalyzed by an unraveled enzyme. An ant gene cluster was identified, among which the anthranilate 1,2-dioxygenase and catechol 1,2-dioxygenase genes were upregulated. An indole-anthranilate-catechol pathway was proposed in indole degradation by strain P. aeruginosa Jade-X. This study enriched our understanding of the indole biodegradation process in P. aeruginosa.

Dynamic repulsive interaction enables an asymmetric electron-phonon coupling for improving Raman scattering.

Two-dimensional (2D) materials are an excellent platform for surface-enhanced Raman spectroscopy (SERS). For ReS2, the Raman enhancement effect can be highly improved through the dipole-dipole interactions and synergistic resonance effects in the phase-engineering ReS2 films. However, the performance of the substrate can be improved further through regulating the electronic interaction between the ReS2 and probe molecules. Herein, a dynamic coulomb repulsion strategy is proposed to trigger an electronic state redistribution by asymmetric electrostatic interactions. With the phase-engineering ReS2/graphene heterostructure as a prototype, under laser excitation, the generated hot electrons in graphene and ReS2 can repel each other due to Coulomb interaction, which breaks the symmetrical distribution of hot electrons in ReS2, and increases the electronic concentration at the interface between ReS2 and the probe molecule. With R6G as the probe molecule, the asymmetric electron distribution and synergistic resonance effects on their interface improve the limit of detection to 10-12 M with an EF of 2.15 × 108. Meanwhile, the heterostructure also shows good uniformity, stability as well as unique anisotropy. This strategy can be generalized to other 2D heterostructures to obtain the ultrasensitive SERS substrates.

Effects of microplastics on typical macrobenthos in sargassum ecosystems.

Recently, microplastics (MPs) have attracted extensive attention to their wide distribution and potential toxicity in ecosystems. However, there was a lack of research focused on MPs in seaweed bed ecosystems. This study investigated the distribution and toxicity of MPs in macrobenthos in Sargassum ecosystem. According to the in-situ investigation results, the abundance of MPs in the sediment was 0.9-2.3 items/g, the indoor microcosmic experiment was constructed. After exposure to MPs (0, 2, and 20 items/g) for 30 days, the abundance of MPs in macrobenthos exhibits a concentration-dependent increase. However, there was no significant bioaccumulation of MPs at the trophic level. The indoor toxicity test revealed that MPs induced oxidative stress and altered intestinal microflora composition in macrobenthos, even at actual environmental concentrations (2 items/g). It may result in a perturbation of the organism's homeostatic equilibrium. High-concentration (20 items/g) MPs had a greater impact on alkaline phosphatase (AKP) in Mollusks. The increase in AKP activity could be indicative of an adaptive mechanism in some macrobenthos while the decline in AKP activity might signal a decrease in their survival. These results elucidated the fate of MPs in ecosystem and the ecological risks of MPs to large benthic animals on model environmental conditions.

Ternary heterostructure-driven photoinduced electron-hole separation enhanced oxidative stress for triple-negative breast cancer therapy.

Zinc oxide nanoparticles (ZnO NPs) stand as among the most significant metal oxide nanoparticles in trigger the formation of reactive oxygen species (ROS) and induce apoptosis. Nevertheless, the utilization of ZnO NPs has been limited by the shallowness of short-wavelength light and the constrained production of ROS. To overcome these limitations, a strategy involves achieving a red shift towards the near-infrared (NIR) light spectrum, promoting the separation and restraining the recombination of electron-hole (e--h+) pairs. Herein, the hybrid plasmonic system Au@ZnO (AZ) with graphene quantum dots (GQDs) doping (AZG) nano heterostructures is rationally designed for optimal NIR-driven cancer treatment. Significantly, a multifold increase in ROS generation can be achieved through the following creative initiatives: (i) plasmonic Au nanorods expands the photocatalytic capabilities of AZG into the NIR domain, offering a foundation for NIR-induced ROS generation for clinical utilization; (ii) elaborate design of mesoporous core-shell AZ structures facilitates the redistribution of electron-hole pairs; (iii) the incorporation GQDs in mesoporous structure could efficiently restrain the recombination of the e--h+ pairs; (iv) Modification of hyaluronic acid (HA) can enhance CD44 receptor mediated targeted triple-negative breast cancer (TNBC). In addition, the introduced Au NRs present as catalysts for enhancing photothermal therapy (PTT), effectively inducing apoptosis in tumor cells. The resulting HA-modified AZG (AZGH) exhibits efficient hot electron injection and e--h+ separation, affording unparalleled convenience for ROS production and enabling NIR-induced PDT for the cancer treanment. As a result, our well-designed mesoporous core-shell AZGH hybrid as photosensitizers can exhibit excellent PDT efficacy.

The Effectiveness of Digital Interactive Intervention on Reducing Older Adults' Depressive and Anxiety Symptoms: A Systematic Review and Meta-Analysis.

INTRODUCTION: Anxiety and depression are prevalent among older adults, and digital interactive interventions have shown promise in promoting their mental well-being. However, limited research has explored the effects of different types of digital interactive interventions across various devices on anxiety and depression in older adults with different health conditions. METHODS: A systematic literature review and meta-analysis were conducted using seven selected databases to identify relevant studies up to July 19, 2023. Two reviewers independently conducted study selection, data extraction, and quality appraisals. The risk of bias in the included studies was assessed using the Cochrane risk-of-bias tool. For the meta-analysis, the effect size was calculated as the standardized mean difference (SMD) using a random-effects model. RESULTS: A total of 20 randomized control trails involving 1,309 older adults fulfilled inclusion criteria. The meta-analysis results demonstrates that the digital interactive intervention technologies had a significance on depression (SMD = -0.656 s, 95% confidence interval [CI] = -0.992 to -0.380, p < 0.001) and anxiety (SMD = -0.381 s, 95% CI = -0.517 to -0.245, p < 0.001). Physical interactive interventions demonstrated a significant effect on depression and anxiety (SMD = -0.711 s, 95% CI = -1.102 to -0.319, p < 0.001) and (SMD = -0.573 s, 95% CI = -0.910 to -0.236, p = 0.001). Similarly, immersive interactive interventions also showed a significant effect on depression and anxiety (SMD = -0.699 s, 95% CI = -1.026 to -0.373, p < 0.001) and (SMD = -0.343 s, 95% CI = -0.493 to -0.194, p < 0.001). Additionally, in the internal medicine group, significant intervention effects were observed for depression (SMD = -0.388, 95% CI = -0.630 to -0.145, p = 0.002) and anxiety (SMD = -0.325, 95% CI = -0.481 to -0.169, p < 0.001). Similarly, in the neurocognitive disorders group, significant intervention effects were found for depression (SMD = -0.702, 95% CI = -0.991 to -0.413, p < 0.001) and anxiety (SMD = -0.790, 95% CI = -1.237 to -0.342, p = 0.001). CONCLUSION: The results indicated that various digital interactive devices, including physical and immersive interactive devices, have a positive impact on depression and anxiety among older adults. However, mobile games were not effective in addressing depression. Digital interactive technologies did not significantly influence anxiety intervention, except for elderly individuals undergoing surgical procedures. Nevertheless, these interventions effectively addressed depression and anxiety in older individuals with neurocognitive disorders, internal medical issues, and those without health issues.

What Is the Real-life Experience of Older Adults on Smart Healthcare Technologies? An Exploratory Interview Study.

INTRODUCTION: Smart healthcare technologies exhibit the great potential to support older Hong Kong adults with their health problems. Although there are various smart healthcare technologies in the Hong Kong market, and some adoption predictors have been proposed and investigated, little is known about older users' views on and real-life experiences with these technologies. This exploratory study examined the experiences, functional needs and barriers of three kinds of smart healthcare technology (i.e., smart wearable devices, smart health monitors, and healthcare applications) with older adults in real-life. METHODS: A convenience sampling method was applied to recruit twenty-two older adults from the Hong Kong community. The interview was designed in semi-structured and conducted in a face-to-face setting. The content analysis was used to summarize the older adults' functional needs and barriers in real-life. RESULTS: We found older adults mainly applied SHCTs to address physical health, but there are few technological solutions for mental health in practice. There are four types of barriers in using smart healthcare technology. However, social support in Hong Kong community greatly help to reduce the barriers in technology use. Based on the findings, we discussed the possible solutions based on the social and technology perspective. CONCLUSION: Current technologies still could not fully address older adults needs for healthy aging and various barriers still hinder the actual adoption. By deeply understanding and considering the social context, technology innovation can facilitate the adoption of smart healthcare technology and promote a healthy aging society.

Cytokine analysis of aqueous humor in patients with cytomegalovirus corneal endotheliitis.

PURPOSE: To evaluate cytokine levels of aqueous humor in patients with cytomegalovirus (CMV) corneal endotheliitis and their relationships with CMV DNA load. METHODS: 44 aqueous humor samples were obtained from 26 patients with CMV corneal endotheliitis at various stages of treatment. 33 samples obtained from cataract patients during the same period were selected as a control group. Each sample was used to measure the concentration of the CMV DNA load using real-time quantitative polymerase chain reaction, and to examine the levels of IL-6, IL-8, IL-10, MCP-1, VCAM-1, VEGF, IP-10, G-CSF, ICAM-1 and IFN-γ using a cytometric bead array. RESULTS: All 10 cytokines were found to have statistically significant differences between the CMV endotheliitis and cataract groups. The Spearman correlation test showed that the concentration of CMV DNA load was significantly associated with the levels of IL-6 (P = 0.005, r = 0.417), IL-8 (P < 0.001, r = 0.514), IL-10 (P < 0.001, r = 0.700), MCP-1 (P = 0.001, r = 0.487), VEGF (P < 0.001, r = 0.690), IP-10 (P = 0.001, r = 0.469), G-CSF (P < 0.001, r = 0.554) and ICAM-1 (P < 0.001, r = 0.635), but not significantly associated with VCAM-1 (P = 0.056) and IFN-γ (P = 0.219). CONCLUSIONS: There was a combined innate and adaptive immune response in aqueous humor in patients with CMV endotheliitis. Levels of multiple cytokines were significantly correlated with viral particle. Cytokines are potential indicators to help diagnose CMV endotheliitis, evaluate disease activity and assess treatment response.

Effectiveness of sensor-based interventions in improving gait and balance performance in older adults: systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Sensor-based interventions (SI) have been suggested as an alternative rehabilitation treatment to improve older adults' functional performance. However, the effectiveness of different sensor technologies in improving gait and balance remains unclear and requires further investigation. METHODS: Ten databases (Academic Search Premier; Cumulative Index to Nursing and Allied Health Literature, Complete; Cochrane Central Register of Controlled Trials; MEDLINE; PubMed; Web of Science; OpenDissertations; Open grey; ProQuest; and Grey literature report) were searched for relevant articles published up to December 20, 2022. Conventional functional assessments, including the Timed Up and Go (TUG) test, normal gait speed, Berg Balance Scale (BBS), 6-Minute Walk Test (6MWT), and Falling Efficacy Scale-International (FES-I), were used as the evaluation outcomes reflecting gait and balance performance. We first meta-analyzed the effectiveness of SI, which included optical sensors (OPTS), perception sensors (PCPS), and wearable sensors (WS), compared with control groups, which included non-treatment intervention (NTI) and traditional physical exercise intervention (TPEI). We further conducted sub-group analysis to compare the effectiveness of SI (OPTS, PCPS, and WS) with TPEI groups and compared each SI subtype with control (NTI and TPEI) and TPEI groups. RESULTS: We scanned 6255 articles and performed meta-analyses of 58 selected trials (sample size = 2713). The results showed that SI groups were significantly more effective than control or TPEI groups (p < 0.000) in improving gait and balance performance. The subgroup meta-analyses between OPTS groups and TPEI groups revealed clear statistically significant differences in effectiveness for TUG test (mean difference (MD) = - 0.681 s; p < 0.000), normal gait speed (MD = 4.244 cm/s; p < 0.000), BBS (MD = 2.325; p = 0.001), 6MWT (MD = 25.166 m; p < 0.000), and FES-I scores (MD = - 2.036; p = 0.036). PCPS groups also presented statistically significant differences with TPEI groups in gait and balance assessments for normal gait speed (MD = 4.382 cm/s; p = 0.034), BBS (MD = 1.874; p < 0.000), 6MWT (MD = 21.904 m; p < 0.000), and FES-I scores (MD = - 1.161; p < 0.000), except for the TUG test (MD = - 0.226 s; p = 0.106). There were no statistically significant differences in TUG test (MD = - 1.255 s; p = 0.101) or normal gait speed (MD = 6.682 cm/s; p = 0.109) between WS groups and control groups. CONCLUSIONS: SI with biofeedback has a positive effect on gait and balance improvement among a mixed population of older adults. Specifically, OPTS and PCPS groups were statistically better than TPEI groups at improving gait and balance performance, whereas only the group comparison in BBS and 6MWT can reach the minimal clinically important difference. Moreover, WS groups showed no statistically or clinically significant positive effect on gait and balance improvement compared with control groups. More studies are recommended to verify the effectiveness of specific SI. Research registration PROSPERO platform: CRD42022362817. Registered on 7/10/2022.

Low levels of Cd2+ combined with procymidone may cause ovarian damage in mice via unfolded protein response.

As no study about the combined effect of low levels of Cd2+ with procymidone (PCM) on organs and organisms, we investigated their actions on mouse-ovary in vivo and in vitro. Four-week mice were treated with corn oil for the control group, corn oil + 0.0045 mg/L Cd2+ (CdCl2 was dissolved in ultrapure water and freely consumed by mice) for Cd2+ group, 50 mg/kg/d PCM (suspended in corn oil and administered orally to mice) for PCM group, and 50 mg/kg/d PCM + 0.0015 (0.0045 and 0.0135) mg/L Cd2+ for L+ (M+ and H+) PCM group for 21 days. For in vitro experiment, the cultured ovaries were treated with acetone for the control group, 0.1% acetone + 8.4 µg/L Cd2+ for the Cd2+ group, 0.63 mg/L PCM (dissolved in acetone) for the PCM-group, and 0.63 mg/L PCM + 2.8 (8.4 and 25.2) µg/L Cd2+ for L+ (M+ and H+) PCM group for 7 days. Mouse body weight in each treatment group, the weight and volume of ovaries in all PCM groups were lower than the control. Both in vivo and in vitro, all-stage follicle numbers were lower in M+PCM and H+PCM groups, whereas the atretic follicles and CASPASE3/8 were higher; meanwhile, lower estradiol and progesterone and higher unfolded protein response (UPR) members in all PCM groups. L+, M+, and H+PCM groups had further ovarian damage and stronger UPR than PCM groups, as did M+PCM groups over Cd2+ groups. It is hypothesized low-level PCM and Cd2+ may mutually promote each other's triggered UPR and exacerbate ovarian damage.

Ultra-Broadband Ultraviolet-Visible Light-Short Wavelength Infrared InGaAs Focal Plane Arrays via n-InP Contact Layer Removal.

PIN InGaAs short wavelength infrared (SWIR) focal plane array (FPA) detectors have attracted extensive attention due to their high detectivity, high quantum efficiency, room temperature operation, low dark current, and good radiation resistance. Furthermore, InGaAs FPA detectors have wide applications in many fields, such as aviation safety, biomedicine, camouflage recognition, and infrared night vision. Recently, extensive research has been conducted on the extension of the response spectrum from short wavelength infrared (SWIR) to visible light (VIS) through InP substrate removal and reserving the n-InP contact layer. However, there is little research on the absorption of InGaAs detectors in the ultraviolet (UV) band. In this paper, we present an ultra-broadband UV-VIS-SWIR 640 × 512 15 µm InGaAs FPA detector by removing the n-InP contact layer in the active area and reserving the InP contact layer around the pixels for n contact, creating incident light to be directly absorbed by the In0.53Ga0.47As absorption layer. In addition, the optical absorption characteristics of InGaAs infrared detectors with and without an n-InP contact layer are studied theoretically. The test results show that the spectral response is extended to the range of 200-1700 nm. The quantum efficiency is higher than 45% over a broad wavelength range of 300-1650 nm. The operability is up to 99.98%, and the responsivity non-uniformity is 3.28%. The imaging capability of InGaAs FPAs without the n-InP contact layer has also been demonstrated, which proves the feasibility of simultaneous detection for these three bands.

Recoverability and estimation of causal effects under typical multivariable missingness mechanisms.

In the context of missing data, the identifiability or "recoverability" of the average causal effect (ACE) depends not only on the usual causal assumptions but also on missingness assumptions that can be depicted by adding variable-specific missingness indicators to causal diagrams, creating missingness directed acyclic graphs (m-DAGs). Previous research described canonical m-DAGs, representing typical multivariable missingness mechanisms in epidemiological studies, and examined mathematically the recoverability of the ACE in each case. However, this work assumed no effect modification and did not investigate methods for estimation across such scenarios. Here, we extend this research by determining the recoverability of the ACE in settings with effect modification and conducting a simulation study to evaluate the performance of widely used missing data methods when estimating the ACE using correctly specified g-computation. Methods assessed were complete case analysis (CCA) and various implementations of multiple imputation (MI) with varying degrees of compatibility with the outcome model used in g-computation. Simulations were based on an example from the Victorian Adolescent Health Cohort Study (VAHCS), where interest was in estimating the ACE of adolescent cannabis use on mental health in young adulthood. We found that the ACE is recoverable when no incomplete variable (exposure, outcome, or confounder) causes its own missingness, and nonrecoverable otherwise, in simplified versions of 10 canonical m-DAGs that excluded unmeasured common causes of missingness indicators. Despite this nonrecoverability, simulations showed that MI approaches that are compatible with the outcome model in g-computation may enable approximately unbiased estimation across all canonical m-DAGs considered, except when the outcome causes its own missingness or causes the missingness of a variable that causes its own missingness. In the latter settings, researchers may need to consider sensitivity analysis methods incorporating external information (e.g., delta-adjustment methods). The VAHCS case study illustrates the practical implications of these findings.