Sex-specific difference in phenotype of Kabuki syndrome type 2 patients: a matched case-control study.

BACKGROUND: Kabuki syndrome (KS) is a monogenic disorder leading to special facial features, mental retardation, and multiple system malformations. Lysine demethylase 6A, (KDM6A, MIM*300128) is the pathogenic gene of Kabuki syndrome type 2 (KS2, MIM#300867), which accounts for only 5%-8% of KS. Previous studies suggested that female patients with KS2 may have a milder phenotype. METHOD: We summarized the phenotype and genotype of KS2 patients who were diagnosed in Shanghai Children's Medical Center since July 2017 and conducted a 1:3 matched case-control study according to age and sex to investigate sex-specific differences between patients with and without KS2. RESULTS: There were 12 KS2 cases in this study, and 8 of them matched with 24 controls. The intelligence quotient (IQ) score of the case group was significantly lower than that of the control group (P < 0.001). In addition, both the incidence of intellectual disability (ID) (IQ < 70) and moderate-to-severe ID (IQ < 55) were significantly higher in the case group than those in the control group. No sex-specific difference was found in the incidence of ID or moderate-to-severe ID between the female cases and female controls, whereas there was a significant difference between male cases and male controls. Furthermore, the rate of moderate-to-severe ID and congenital heart disease (CHD) was significantly higher in the male group than that in the female group. CONCLUSIONS: Our results showed that a sex-specific difference was exhibited in the clinical phenotypes of KS2 patients. The incidence of CHD was higher in male patients, and mental retardation was significantly impaired. However, the female patients' phenotype was mild.

Vision Transformer With Quadrangle Attention.

Window-based attention has become a popular choice in vision transformers due to its superior performance, lower computational complexity, and less memory footprint. However, the design of hand-crafted windows, which is data-agnostic, constrains the flexibility of transformers to adapt to objects of varying sizes, shapes, and orientations. To address this issue, we propose a novel quadrangle attention (QA) method that extends the window-based attention to a general quadrangle formulation. Our method employs an end-to-end learnable quadrangle regression module that predicts a transformation matrix to transform default windows into target quadrangles for token sampling and attention calculation, enabling the network to model various targets with different shapes and orientations and capture rich context information. We integrate QA into plain and hierarchical vision transformers to create a new architecture named QFormer, which offers minor code modifications and negligible extra computational cost. Extensive experiments on public benchmarks demonstrate that QFormer outperforms existing representative vision transformers on various vision tasks, including classification, object detection, semantic segmentation, and pose estimation. The code will be made publicly available at QFormer.

ViTPose++: Vision Transformer for Generic Body Pose Estimation.

In this paper, we show the surprisingly good properties of plain vision transformers for body pose estimation from various aspects, namely simplicity in model structure, scalability in model size, flexibility in training paradigm, and transferability of knowledge between models, through a simple baseline model dubbed ViTPose. ViTPose employs the plain and non-hierarchical vision transformer as an encoder to encode features and a lightweight decoder to decode body keypoints in either a top-down or a bottom-up manner. It can be scaled to 1B parameters by taking the advantage of the scalable model capacity and high parallelism, setting a new Pareto front for throughput and performance. Besides, ViTPose is very flexible regarding the attention type, input resolution, and pre-training and fine-tuning strategy. Based on the flexibility, a novel ViTPose++ model is proposed to deal with heterogeneous body keypoint categories via knowledge factorization, i.e., adopting task-agnostic and task-specific feed-forward networks in the transformer. We also demonstrate that the knowledge of large ViTPose models can be easily transferred to small ones via a simple knowledge token. Our largest single model ViTPose-G sets a new record on the MS COCO test set without model ensemble. Furthermore, our ViTPose++ model achieves state-of-the-art performance simultaneously on a series of body pose estimation tasks, including MS COCO, AI Challenger, OCHuman, MPII for human keypoint detection, COCO-Wholebody for whole-body keypoint detection, as well as AP-10K and APT-36K for animal keypoint detection, without sacrificing inference speed.

Bi-allelic variants in CEP295 cause Seckel-like syndrome presenting with primary microcephaly, developmental delay, intellectual disability, short stature, craniofacial and digital abnormalities.

BACKGROUND: Pathogenic variants in the centrosome protein (CEP) family have been implicated in primary microcephaly, Seckel syndrome, and classical ciliopathies. However, most CEP genes remain unlinked to specific Mendelian genetic diseases in humans. We sought to explore the roles of CEP295 in human pathology. METHODS: Whole-exome sequencing was performed to screen for pathogenic variants in patients with severe microcephaly. Patient-derived fibroblasts and CEP295-depleted U2OS and RPE1 cells were used to clarify the underlying pathomechanisms, including centriole/centrosome development, cell cycle and proliferation changes, and ciliogenesis. Complementary experiments using CEP295 mRNA were performed to determine the pathogenicity of the identified missense variant. FINDINGS: Here, we report bi-allelic variants of CEP295 in four children from two unrelated families, characterized by severe primary microcephaly, short stature, developmental delay, intellectual disability, facial deformities, and abnormalities of fingers and toes, suggesting a Seckel-like syndrome. Mechanistically, depletion of CEP295 resulted in a decrease in the numbers of centrioles and centrosomes and triggered p53-dependent G1 cell cycle arrest. Moreover, loss of CEP295 causes extensive primary ciliary defects in both patient-derived fibroblasts and RPE1 cells. The results from complementary experiments revealed that the wild-type CEP295, but not the mutant protein, can correct the developmental defects of the centrosome/centriole and cilia in the patient-derived skin fibroblasts. INTERPRETATION: This study reports CEP295 as a causative gene of the syndromic microcephaly phenotype in humans. Our study also demonstrates that defects in CEP295 result in primary ciliary defects. FUNDING: A full list of funding bodies that contributed to this study can be found under "Acknowledgments."

Efficacy of four anti-vascular endothelial growth factor agents and laser treatment for retinopathy of prematurity: A network meta-analysis.

This study undertakes a comprehensive comparison of five different interventions for the treatment of type-1 retinopathy of prematurity (ROP) and aggressive posterior retinopathy of prematurity (APROP), offering insights into their relative efficacies and contributing to better clinical decision-making. The aim of this study was to compare the efficacy of intravitreal aflibercept (IVA), intravitreal bevacizumab (IVB), intravitreal conbercept (IVC), intravitreal ranibizumab (IVR), and laser therapy in treating these conditions. We conducted a search for relevant randomized controlled trials (RCTs) in databases, namely PubMed, Embase, Cochrane Library, Web of Science, and Ovid, focusing on these five treatment modalities for ROP. The quality of included studies was evaluated using the Cochrane Risk of Bias Assessment Tool, and data analysis was performed using STATA software. The results from our network meta-analysis (NMA) indicated that IVA significantly prolonged the interval between initial treatment and relapse in patients, with a surface under the cumulative ranking cruve (SUCRA) value of 99.1%. Additionally, patients in the IVB group had a significantly higher spherical equivalent refraction (SER) after surgery, with a SUCRA value of 84.4%. Furthermore, IVR was the most effective in reducing the duration of peripheral retinal vascularization, with a SUCRA value of 95.6%. However, no statistically significant differences were found in relapse rates among the five treatment options. Our analysis concludes that intravitreal injections of anti-vascular endothelial growth factor (anti-VEGF) drug monotherapy generally offer better outcomes than laser treatment for ROP. Nonetheless, additional RCTs are necessary to further evaluate the safety of anti-VEGF agents.

Clinical characteristics and genetic expansion of 46,XY disorders of sex development children in a Chinese prospective study.

Diagnosis and management strategy of disorders of sex development (DSD) are difficult and various due to heterogeneous phenotype and genotype. Under widespread use of genomic sequencing technologies, multiple genes and mechanisms have been identified and proposed as genetic causes of 46,XY DSD. In this study, 178 46,XY DSD patients were enrolled and underwent gene sequencing (either whole-exome sequencing or targeted panel gene sequencing). Detailed clinical phenotype and genotype information were summarized which showed that the most common clinical manifestations were micropenis (56.74%, 101/178), cryptorchidism (34.27%, 61/178), and hypospadias (17.42%, 31/178). Androgen synthesis/action disorders and idiopathic hypogonadotropic hypogonadism were the most frequent clinical diagnoses, accounting, respectively, for 40.90 and 21.59%. From all next-generation sequencing results, 103 candidate variants distributed across 32 genes were identified in 88 patients. The overall molecular detection rate was 49.44% (88/178), including 35.96% (64/178) pathogenic/likely pathogenic variants and 13.48% (24/178) variants of uncertain significance. Of all, 19.42% (20/103) variants were first reported in 46,XY DSD patients. Mutation c.680G>A (p.R227Q) on SRD5A2 (steroid 5-alpha-reductase 2) (36.67%, 11/30) was a hotspot mutation in the Chinese population. Novel candidate genes related to DSD (GHR (growth hormone receptor) and PHIP (pleckstrin homology domain-interacting protein)) were identified. Overall, this was a large cohort of 46,XY DSD patients with a common clinical classification and phenotype spectrum of Chinese patients. Targeted gene panel sequencing covered most of the genes contributing to DSD, whereas whole-exome sequencing detected more candidate genes.

ACCURACY OF NEW INTRAOCULAR LENS CALCULATION FORMULAE IN EYES UNDERGOING SILICONE OIL REMOVAL/PARS PLANA VITRECTOMY-CATARACT SURGERY.

PURPOSE: To investigate the performance of novel intraocular lens calculation formulae (Barrett Universal II, Emmetropia Verifying Optical, and Kane) and conventional formulae (Haigis, Hoffer Q, Holladay 1, and Sanders-Retzlaff-Kraff/T [SRK/T]) in patients who underwent pars plana vitrectomy or silicone oil removal combined with cataract surgery. METHODS: In total, 301 eyes from 301 patients who underwent pars plana vitrectomy/silicone oil removal with concomitant cataract surgery were enrolled and divided into the following four groups according to preoperative diagnosis: silicone oil-filled eyes after pars plana vitrectomy, epiretinal membrane, primary retinal detachment, and macular hole. RESULTS: Barrett Universal II exhibited the smallest mean absolute error (0.65 diopters [D]) and median absolute error (0.39 D) in total. In patients with primary retinal detachment, each formula exhibited the worst refractive outcomes in diverse vitreoretinal pathologies ( P < 0.01), and no difference in accuracy between the seven formulas was observed ( P = 0.075). For long eyes, the second linear (Wang-Koch 2) version of the Wang-Koch adjustment significantly reduced the median absolute error for Holladay 1 and SRK/T ( P < 0.001 and P = 0.019). CONCLUSION: In combined surgery, both new and conventional formulas using the second linear version of the Wang-Koch 2 adjustment demonstrated satisfactory performance, with Barrett Universal II exhibiting the best overall performance. However, in patients with primary retinal detachment, all seven formulas showed less favorable performance.

Genome-Wide Identification and Analysis of the Hsp40/J-Protein Family Reveals Its Role in Soybean (Glycine max) Growth and Development.

The J-protein family comprises molecular chaperones involved in plant growth, development, and stress responses. Little is known about this gene family in soybean. Hence, we characterized J-protein genes in soybean, with the most highly expressed and responsive during flower and seed development. We also revealed their phylogeny, structure, motif analysis, chromosome location, and expression. Based on their evolutionary links, we divided the 111 potential soybean J-proteins into 12 main clades (I-XII). Gene-structure estimation revealed that each clade had an exon-intron structure resembling or comparable to others. Most soybean J-protein genes lacked introns in Clades I, III, and XII. Moreover, transcriptome data obtained from a publicly accessible soybean database and RT-qPCR were used to examine the differential expression of DnaJ genes in various soybean tissues and organs. The expression level of DnaJ genes indicated that, among 14 tissues, at least one tissue expressed the 91 soybean genes. The findings suggest that J-protein genes could be involved in the soybean growth period and offer a baseline for further functional research into J-proteins' role in soybean. One important application is the identification of J-proteins that are highly expressed and responsive during flower and seed development in soybean. These genes likely play crucial roles in these processes, and their identification can contribute to breeding programs to improve soybean yield and quality.

Bedside nurses' antimicrobial stewardship practice scope and competencies in acute hospital settings: A scoping review.

AIM: To identify and map bedside nurses' practice scope and competencies regarding antimicrobial stewardship in acute hospital settings, and develop a competency framework for them. BACKGROUND: Antimicrobial stewardship requires multidisciplinary engagement including nursing. However, bedside nurses' antimicrobial stewardship practice scope and competencies in acute hospital settings remain unclear. DESIGN: Scoping review. METHODS: Using a five-stage framework proposed by Arksey and O'Malley and following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. RESULTS: A total of 1422 records were retrieved, and 41 studies were included. In addition to the six practices recommended, this review summarized bedside nurses' contributions to five additional fields as well. Correspondingly, the competencies required by bedside nurses were summarized into eight domains: specialized knowledge, safety medication administration, leadership, education, diagnostic stewardship, infection prevention and control, professional development and professional quality. CONCLUSION: Nurses' practice scope overlaps greatly with routine nursing practice in antimicrobial stewardship, confirming the evidence that nurses are ideal partners in antimicrobial stewardship. This review developed a competency framework at both basic and advanced levels. Among them, professional knowledge is the foundation, while professional quality motivates nurses to participate. In addition to competency assessment, it can also be used for training and human resource deployment based on seniority or professional level. This could bridge the knowledge gap and improve the engagement of nurses in heavy workload situations. RELEVANCE TO CLINICAL PRACTICE: This practice scope will provide opportunities for nurses to engage in antimicrobial stewardship. Moreover, nursing competencies identified in this field could facilitate the development of competency-based education interventions, talent assessments, training and recruitment programs. DATA RESOURCES: PubMed, EMBASE, Web of Science, CINHAL, PsycINFO, Cochrane Library, ProQuest and Scopus were searched from inception to November 2022, with an updated search in March 2023. IMPACT: This scoping review provides evidence for best nursing practice scope and competency in antimicrobial stewardship in hospitals. However, it is also in line with the commitment of all nurses in the global community to combat antimicrobial resistance, which has become a global threat. An antimicrobial stewardship competency framework for bedside nurses was developed at both the basic and advanced levels. It would facilitate talent assessment, training, recruitment and human resource management by guiding the development of competency-based education interventions. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Outcomes and risk factors for failure of trabeculectomy in glaucomatous patients in Southwest China: a 325 eyes analysis.

AIM: To evaluate the outcomes and elucidate the failure factors for trabeculectomy with mitomycin C (MMC) in Southwest Chinese patients. METHODS: A retrospective correlational study was conducted on the glaucomatous patients who underwent initial trabeculectomy with MMC in Southwest Hospital and had been followed up for 1-3y. A complete success for surgery is defined as a postoperative intraocular pressure (IOP) >5 and ≤21 mm Hg and 20% reduction of IOP compared to preoperative, without IOP-lowering medications. A qualified success for surgery is defined as the abovementioned postoperative IOP with or without IOP-lowering medications. The primary outcomes were IOP, the number of IOP-lowering medications, and cumulative success rate. The secondary outcomes included best corrected visual acuity (BCVA), mean deviation (MD) of visual field, major complications, and risk factors for surgical failure. RESULTS: A total of 325 eyes of 261 glaucomatous patients had been included in our study. Both the mean IOP and the number of IOP-lowering medications were significantly decreased from 32.9±12.0 to 16.4±5.7 mm Hg (P<0.0001) and 3.0±0.9 to 0.9±1.0 (P<0.0001), respectively, at the last visit. The cumulative complete success rate and qualified success rate were 77.8% and 92.0% at 1-year follow-up, and 47.2% and 77.7% at 3-year follow up. There were no significant differences in surgical outcomes between primary angle-closure glaucoma (PACG) and primary open angle glaucoma (POAG). In PACG patients, the success rates of trabeculectomy were comparable with those of phacotrabeculectomy. Hypertension (HR=1.904, P=0.011), encapsulated bleb (HR=2.756, P<0.001), and more preoperative topical medications (HR=2.475, P=0.008) were risk factors for surgical failure. CONCLUSION: The qualified success rate of trabeculectomy with MMC in glaucomatous patients in the cohort is 92.0% at 1-year, and 77.7% at 3-year follow up. Hypertension, encapsulated bleb, and more preoperative topical medications are associated with surgical failure.

Experimental Analysis and Establishment of Strength Attenuation Model of POM Fiber Reinforced Geopolymeric Recycled Concrete under Freeze-Thaw Cycles.

Geopolymeric recycled concrete (GRC) is a new low-carbon building material that uses both construction and industrial solid waste to replace natural aggregate and cement. GRC is similar to geopolymeric concrete (GPC) in that it has good mechanical properties but needs to be improved in terms of frost resistance. Previous studies have shown that polyoxymethylene fiber (POM fiber) can improve the shrinkage and durability of concrete and is superior to other commonly used fibers. Therefore, this paper explores adding POM fiber to GRC to improve its frost resistance. In this paper, the influence of different volumes and lengths of POM fiber on the frost resistance of geopolymeric recycled concrete (PRGRC) is studied. By measuring the changes in mass loss rate, relative dynamic elastic modulus, and compressive strength of PRGRC under different cycles, the improvement effect of POM fiber on the freeze-thaw damage of GRC is analyzed, and the strength attenuation model of PRGRC is established. The results show that the increase in POM fiber content can effectively slow down the mass loss of PRGRC in the freeze-thaw cycles, the reduction rate of relative dynamic elastic modulus, and the reduction rate of compressive strength. This shows that POM fiber can effectively improve the frost resistance of PRGRC, and the effect of 6 mm POM fiber on the freeze-thaw damage of PRGRC is better than 12 mm POM fiber. According to the test results, the existing strength attenuation model is further modified, the attenuation model of PRGRC compressive strength under the freeze-thaw cycle is obtained, and the model fitting effect is good. The strengthening mechanism of POM fiber is explained by the structural relationship between POM fiber and concrete matrix in the SEM micrograph of PRGRC. The research results provide a scientific basis for the applicability of POM fiber in geopolymeric cementitious materials and improving the frost resistance of PRGRC.

Mechanism of downward migration of quinolone antibiotics in antibiotics polluted natural soil replenishment water and its effect on soil microorganisms.

Reclaimed water is widely concerned as an effective recharge of groundwater and surface water, but trace organic pollutants produced by traditional wastewater treatment plants (WWTPs) would cause environmental pollution (water and soil) during infiltration. Therefore, the effects of reclaimed water containing ofloxacin (OFL) and ciprofloxacin (CIP) in antibiotics polluted natural soil (APNS) were investigated by simulating soil aquifer treatment systems (SATs). The experiment results showed that OFL and CIP in water were adsorbed and microbially degraded mainly at 30 cm, and the concentration of OFL and CIP in soil increased with depth, which were mainly due to the desorption from APNS. Concurrently, the change in replenishment water concentration also significantly affected OFL and CIP in pore water and soil. Although OFL and CIP inhibited the diversity of soil microbial community, they also promoted the growth of some microorganisms. As the dominant bacteria, Proteobacteria and Acidobacteriota can effectively participate in the degradation of OFL and CIP. The degradation effects of soil microorganisms on OFL and CIP were 45.48% and 42.39%, respectively, indicating that soil microorganisms selectively degraded pollutants. This experiment was carried out on APNS, which provided a reference for future studies on the migration of trace organic pollutants under natural conditions.

NEIL3 contributes to the Fanconi anemia/BRCA pathway by promoting the downstream double-strand break repair step.

Interstrand crosslinks (ICLs) repair by the canonical Fanconi anemia (FA) pathway generates double-strand breaks (DSBs), which are subsequently repaired by the homologous recombination (HR) pathway. Recent studies show that the NEIL3 DNA glycosylase repairs psoralen-ICLs by direct unhooking. However, whether and how NEIL3 regulates MMC and cisplatin-ICL repair remains unclear. Here we show that NEIL3 participates in DSB repair step of ICL repair by promoting HR pathway. Mechanistically, NEIL3 is recruited to the DSB sites through its GRF zinc finger motifs. NEIL3 interacts with the DSB resection machinery, including CtIP, the MRE11-RAD50-NBS1 (MRN) complex, and DNA2, which is mediated by the GRF zinc finger motifs. In addition, NEIL3 is necessary for the chromatin recruitment of the resection machinery, and depletion of NEIL3 decreases end resection and compromises HR. Taken together, our results show that NEIL3 plays an important role in MMC/cisplatin-ICL repair by promoting the HR step in FA/BRCA pathway.

The current landscape of predictive and prognostic biomarkers for immune checkpoint blockade in ovarian cancer.

Immune checkpoint blockade (ICB) therapy has evoked a prominent shift in anticancer therapy. Durable clinical antitumor activity to ICB has been observed in patients with ovarian cancer (OC). However, only a subset of patients derive clinical benefit, and immune-related adverse events (irAEs) caused by ICB therapy can lead to permanent tissue damage and even fatal consequences. It is thus urgent to develop predictive biomarkers to optimize patient outcomes and minimize toxicity risk. Herein, we review current predictive and prognostic biomarkers for checkpoint immunotherapy in OC and highlight emerging biomarkers to guide treatment with ICB. The prevalent biomarkers, such as PD-L1 expression status, tumor-infiltrating lymphocytes, mutational burden, and immune gene signatures, are further discussed. We provide a state-of-the-art survey on prognostic and predictive biomarkers for checkpoint immunotherapy and offer valuable information for guiding precision immunotherapy.

Identification of QTLs and joint QTL segments of leaflet traits at different canopy layers in an interspecific RIL population of soybean.

KEY MESSAGE: A leaflet trait on different canopy layers may have different QTLs; leaflet trait QTLs may cluster to form joint QTL segments; all canopy layer QTLs form a complete QTL system for a leaflet trait. As the main part of the plant canopy structure, leaf/leaflet size and shape affect the plant architecture and yield. To explore the leaflet trait QTL system, a population composed of 199 recombinant inbred lines derived from Changling (annual wild, narrow leaflet) and Yiqianli (landrace, broad leaflet) with their parents was tested for leaflet length (LL), width (LW) and length to width (LLW). The population was genotyped with specific-locus amplified fragment sequencing (SLAF-seq) and applied for linkage mapping of the leaflet traits. The results showed that the leaflet traits varied greatly even within a plant, which supported a stratified leaflet sampling strategy to evaluate these traits at top, middle and bottom canopy layers. Altogether, 13 LL, 10 LW and 9 LLW in a total of 32 plus 3 duplicated QTLs were identified, in which, 17 QTLs were new ones, and 48.6%, 28.6% and 22.8% of QTLs were from the top, middle and bottom layers, respectively, indicating the genetic importance of the top layer leaves. Since a leaflet trait may have layer-specific QTLs, all layer QTLs form a complete QTL system. Five QTL clusters each with their QTL supporting intervals overlapped were designated as joint QTL segments (JQSs). In JQS-16, with its linkage map further validated using PCR markers, two QTLs, qLW-16-1 and qLLW-16-1 of the top layer leaflet, were identified six QTL·times. Six candidate genes were predicted, with Glyma.16G127900 as the most potential one for LW and LLW. Three PCR markers, Gm16PAV0653, BARCSOYSSR_16_0796 and YC-16-3, were suggested for marker-assisted selection for LW and LLW in JQS-16.

Applications of Functional DNA Materials in Immunomodulatory Therapy.

In recent years, nanoscale or microscale functional materials derived from DNA have shown great potential for immunotherapy as superior delivery carriers. DNA nanostructures with excellent programmability and addressability enable the precise assembly of molecules or nanoparticles. DNA hydrogels have predictable structures and adjustable mechanical strength, thus being advantageous in controllable release of cargos. In addition, utilizing systematic evolution of ligands by exponential enrichment technology, a variety of DNA aptamers have been screened for specific recognition of ions, molecules, and even cells. Moreover, a wide variety of chemical modifications can further enrich the function of DNA. The unique advantages of functional DNA materials make them extremely attractive in immunomodulation. Recently, functional DNA materials-based immunotherapy has shown great potential in fighting against many diseases like cancer, viral infection, and inflammation. Therefore, in this review, we focus on discussing the progress of the applications of functional DNA materials in immunotherapy; before that, we also summarize the characteristics of the functional DNA materials descried above. Finally, we discuss the challenges and future opportunities of functional DNA materials in immunomodulatory therapy.

New Energy Utilization Rate and Coal Energy Economic Development Based on the Fuzzy Network Algorithm.

Energy is an important foundation for the normal development and operation of society. With the rapid development of human society, energy consumption is increasing, energy supply is becoming more and more tenser, and energy consumption is excessively dependent on traditional fossil energy, which will cause serious pollution to the environment. In this regard, this article combines the actual needs of wireless sensor network nodes with limited energy consumption and conducts extensive research on the utilization rate of new energy in a city. By viewing related literature, relevant information on the Internet are collected and collated and then comprehensively analyzed. The main research purpose of this paper is to explore the law of new energy utilization rate in a certain city, determine the methods and paths that can realize the large-scale utilization of new energy, and provide reference materials for urban construction managers. Next, based on the study of coal energy, this article learns that the coal energy output of a certain province accounts for more than 99% of the total energy output. During the period of industrial restructuring, long-term industrial development was carried out under the traditional large-scale model. The development model of high energy consumption and high pollution had a serious impact on the ecological environment, leading to economic development at the expense of the environment in exchange for economic growth. The model is no longer applicable to the existing economic system. This article uses wireless sensing-based research on the utilization of new energy and applies it to the study of coal energy economic development, aiming to promote its better development.

Mass transfer characteristics and effect of flue gas used in microalgae culture.

Flue gas not only contains carbon dioxide (CO2) but also air pollutants (sulfur oxides (SOx) and nitrogen oxides (NOx)). The effective utilization of flue gas could help us to reduce the cost of microalgal biomass production. This study assessed and explored the utilization of flue gas for the absorption characteristics of different components and their biological effect in microalgal culture systems. In abiotic absorption experiments, the absorptivity of CO2 was reduced by a maximum of 3.1%, and the concentration of the available carbon source in the culture medium was decreased by 6.7% when sulfur dioxide (SO2, at 100 mg/m3) was presented in the flue gas. Meanwhile, the presence of oxygen (O2, at 4%) in the flue gas improved the absorptivity of nitric oxide (NO). When Scenedesmus dimorphus was cultured using bisulfites and nitrites (at 10 mmol/L and 8 mmol/L, respectively) as the sulfur and nitrogen sources, SOx and NOx in the flue gas did not significantly affect growth of microalgal cells and the carbohydrate, lipid, and protein content. The consumption rates of nutrient elements were calculated, which could provide an adjustment strategy for the initial gas source when culturing microalgae with the flue gas. This study indicates that the flue gas used for microalgal culture should be partially desulfurized, so that the SOx and CO2 concentrations can optimize growth of microalgal cells, while the denitrification might not be needed since the flue gas can be oxidized to utilize the NO. KEY POINTS: • The concentration of the available carbon source in the culture medium was decreased when SO2 was presented in the flue gas, and the presence of O2 in the flue gas improved the absorptivity of NO. • An adjustment strategy for the initial gas source when culturing microalgae with the flue gas was firstly proposed. • For flue gas containing 10% CO2 and 60 mg/m3 of SO2, growth of Scenedesmus dimorphus showed no difference in cell growth in normal culture conditions.

Injectable DNA Hydrogel-Based Local Drug Delivery and Immunotherapy.

Regulated drug delivery is an important direction in the field of medicine and healthcare research. In recent years, injectable hydrogels with good biocompatibility and biodegradability have attracted extensive attention due to their promising application in controlled drug release. Among them, DNA hydrogel has shown great potentials in local drug delivery and immunotherapy. DNA hydrogel is a three-dimensional network formed by cross-linking of hydrophilic DNA strands with extremely good biocompatibility. Benefiting from the special properties of DNA, including editable sequence and specificity of hybridization reactions, the mechanical properties and functions of DNA hydrogels can be precisely designed according to specific applications. In addition, other functional materials, including peptides, proteins and synthetic organic polymers can be easily integrated with DNA hydrogels, thereby enriching the functions of the hydrogels. In this review, we first summarize the types and synthesis methods of DNA hydrogels, and then review the recent research progress of injectable DNA hydrogels in local drug delivery, especially in immunotherapy. Finally, we discuss the challenges facing DNA hydrogels and future development directions.

DUT: Learning Video Stabilization by Simply Watching Unstable Videos.

Previous deep learning-based video stabilizers require a large scale of paired unstable and stable videos for training, which are difficult to collect. Traditional trajectory-based stabilizers, on the other hand, divide the task into several sub-tasks and tackle them subsequently, which are fragile in textureless and occluded regions regarding the usage of hand-crafted features. In this paper, we attempt to tackle the video stabilization problem in a deep unsupervised learning manner, which borrows the divide-and-conquer idea from traditional stabilizers while leveraging the representation power of DNNs to handle the challenges in real-world scenarios. Technically, DUT is composed of a trajectory estimation stage and a trajectory smoothing stage. In the trajectory estimation stage, we first estimate the motion of keypoints, initialize and refine the motion of grids via a novel multi-homography estimation strategy and a motion refinement network, respectively, and get the grid-based trajectories via temporal association. In the trajectory smoothing stage, we devise a novel network to predict dynamic smoothing kernels for trajectory smoothing, which can well adapt to trajectories with different dynamic patterns. We exploit the spatial and temporal coherence of keypoints and grid vertices to formulate the training objectives, resulting in an unsupervised training scheme. Experiment results on public benchmarks show that DUT outperforms state-of-the-art methods both qualitatively and quantitatively. The source code is available at https://github.com/Annbless/DUTCode.