Good Effect Research Articles

Predicting mixed venous oxygen saturation (SvO2) impairment in COPD patients using clinical-CT radiomics data: A preliminary study.

Chronic obstructive pulmonary disease (COPD) is one of the most common chronic airway diseases in the world. To predict the degree of mixed venous oxygen saturation (SvO2) impairment in patients with COPD by modeling using clinical-CT radiomics data and to provide reference for clinical decision-making. A total of 236 patients with COPD diagnosed by CT and clinical data at Xiangyang No. 1 People's Hospital (n= 157) and Xiangyang Central Hospital (n= 79) from June 2018 to September 2021 were retrospectively analyzed. The patients were divided into group A (SvO⩾2 62%, N= 107) and group B (SvO<2 62%, N= 129). We set up training set and test set at a ratio of 7/3 and time cutoff spot; In training set, Logistic regression was conducted to analyze the differences in general data (e.g. height, weight, systolic blood pressure), laboratory indicators (e.g. arterial oxygen saturation and pulmonary artery systolic pressure), and CT radiomics (radscore generated using chest CT texture parameters from 3D slicer software and LASSO regression) between these two groups. Further the risk factors screened by the above method were used to establish models for predicting the degree of hypoxia in COPD, conduct verification in test set and create a nomogram. Univariate analysis demonstrated that age, smoking history, drinking history, systemic systolic pressure, digestive symptoms, right ventricular diameter (RV), mean systolic pulmonary artery pressure (sPAP), cardiac index (CI), pulmonary vascular resistance (PVR), 6-min walking distance (6MWD), WHO functional classification of pulmonary hypertension (WHOPHFC), the ratio of forced expiratory volume in the first second to the forced vital capacity (FEV1%), and radscore in group B were all significantly different from those in group A (P< 0.05). Multivariate regression demonstrated that age, smoking history, digestive symptoms, 6MWD, and radscore were independent risk factors for SvO2 impairment. The combined model established based on the abovementioned indicators exhibited a good prediction effect [AUC: 0.903; 95%CI (0.858-0.937)], higher than the general clinical model [AUC: 0.760; 95%CI (0.701-0.813), P< 0.05] and laboratory examination-radiomics model [AUC: 0.868; 95%CI (0.818-0.908), P= 0.012]. The newly created nomogram may be helpful for clinical decision-making and benefit COPD patients. SvO2 is an important indicator of hypoxia in COPD, and it is highly related to age, 6MWD, and radscore. The combined model is helpful for early identification of SvO2 impairment and adjustment of COPD treatment strategies.

Fairness-Aware Competitive Bidding Influence Maximization in Social Networks

Competitive influence maximization (CIM) has been studied for years due to its wide application in many domains. Most current studies primarily focus on the microlevel optimization by designing policies for one competitor to defeat its opponents. Furthermore, current studies ignore the fact that many influential nodes have their own starting prices, which may lead to inefficient budget allocation. In this article, we propose a novel competitive bidding influence maximization (CBIM) problem, where the competitors allocate budgets to bid for the seeds attributed to the platform during multiple bidding rounds. To solve the CBIM problem, we propose a fairness-aware multiagent CBIM (FMCBIM) framework. In this framework, we present a multiagent bidding particle environment (MBE) to model the competitors’ interactions and design a starting price adjustment mechanism to model the dynamic bidding environment. Moreover, we put forward a novel multiagent CBIM (MCBIM) algorithm to optimize competitors’ bidding policies. Extensive experiments on five datasets show that our work has good efficiency and effectiveness.

Remote sensing image classification method based on improved ShuffleNet convolutional neural network

As a list of remotely sensed data sources is available, the effective processing of remote sensing images is of great significance in practical applications in various fields. This paper proposes a new lightweight network to solve the problem of remote sensing image processing by using the method of deep learning. Specifically, the proposed model employs ShuffleNet V2 as the backbone network, appropriately increases part of the convolution kernels to improve the classification accuracy of the network, and uses the maximum overlapping pooling layer to enhance the detailed features of the input images. Finally, Squeeze and Excitation (SE) blocks are introduced as the attention mechanism to improve the architecture of the network. Experimental results based on several multisource data show that our proposed network model has a good classification effect on the test samples and can achieve more excellent classification performance than some existing methods, with an accuracy of 91%, and can be used for the classification of remote sensing images. Our model not only has high accuracy but also has faster training speed compared with large networks and can greatly reduce computation costs. The demo code of our proposed method will be available at https://github.com/li-zi-qi.

First report of Fusarium verticillioides causing blight on Ammopiptanthus mongolicus in China.

Ammopiptanthus mongolicus is the only evergreen broadleaf shrub and constructive species in the northwest desert of China (Hu et al. 2021). It also is listed as one of the national second-class endangered plants. Ammopiptanthus mongolicus has a good effect of water conservation, windbreak and sand fixation because its deep root system (Zhou et al. 2012; Dong et al. 2023). A large number of dead plants of Ammopiptanthus mongolicus were found in Etuoke county, Inner Mongolia Autonomous Region, China (40°4'28″-40°4'34″ N, 106°53'5″-106°53'31″ E). In September 2023, the investigation and research in the region found that the incidence of diseased plants in this field was about 30%, and for individual plant, the incidence of diseased branches was about 60%. The leaves of diseased branches initially became from green to yellow and then wilt and fall. Eventually the plant dies. (Figure 1). The miter cut of the root showed that the root steles of diseased plants had obvious black and brown color (Figure 2). For isolation, the 30 tissue blocks (10×10 mm) of from 10 symptomatic roots diseased were surface sterilized with 70% ethanol for 3 minutes and sodium hypochlorite (2.5% available chlorine) for 5 minutes, and rinsed three times with sterilized distilled water. Then, these tissue blocks were placed on potato dextrose agar (PDA) medium, and incubated from 3 to 5 days at 25°C. After 3 days on PDA, the surface of the colony was rough, the color were white-pink at the beginning, and deep purple pigment were produced in the later stage, making the colony bluish-purple to gray-purple, their undersides were bluish-purple. Mycelia were white. After 7 days on SNA, Microconidia were typical of the clavicular type, 8.5 ± 2.5 μm × 2.3 ± 0.2 μm(×400). Microconidia were usually very long conidial chains, sometimes the spore chain collapses and the conidia clump together to form an approximate pseudocephaly. The macroconidia were slender and long, slightly falcate or straight, 42.8 ± 3.4 μm × 3.8 ± 0.7 μm(×400) (Figure 4). Species identity was confirmed by sequencing the EF1-α gene (EF1 and EF2 primers)(O'Donnell et al. 1998), RPB1 (F5 and G2R primers)(O'Donnell et al. 2022) and RPB2 (5F2 and 11AR)(O'Donnell et al. 2022). The amplified sequences of a representative isolate (AmP10) have deposited in GenBank with accession number OR594338 (EF1-α), OR841329 (RPB1) and OR841331 (RPB2). Thee results of pairwise alignment in Fusarioid-ID datebase(Crous et al. 2021) showed that EF1-α sequence was 99.54% similarity and 89.96% overlap to the corresponding sequence KF499582 of ex-epitype CBS 218.76 of Fusarium verticillioides, Fusarium fujikuroi species complex (FFSC, previously GFSC) (Lecellier et al. 2014), RPB1 sequence was 100% similarity and 100% overlap to the corresponding sequence MW402638 of ex-epitype CBS 218.76 of Fusarium verticillioides, Fusarium fujikuroi species complex (FFSC, previously GFSC) (Yilmaz et al. 2021), RPB2 sequence was 99.94% similarity and 87.83% overlap to the corresponding sequence MW928835 of ex-epitype CBS 218.76 of Fusarium verticillioides, Fusarium fujikuroi species complex (FFSC, previously GFSC) (Crous et al. 2021). Moreover, the result of polyphasic identification in Fusarioid-ID datebase also showed EF1-α, RPB1 and RPB2 sequences were 100% similarity to the corresponding sequences of ex-epitype CBS 218.76 of Fusarium verticillioides, Fusarium fujikuroi species complex (FFSC, previously GFSC). To test the pathogenicity, the healthy green seedlings (64 days old) were planted into plastic pots containing sterilized soil in the greenhouse after the seeds of Ammopiptanthus mongolicus were surface sterilized with 70% ethanol for 3 minutes and 2.5% sodium hypochlorite for 3 minutes. The roots of 3 seedlings were inoculated with 1×106 /ml of the conidial suspension, and another 3 used as controls with inoculated sterile water. Then, all pots were placed in a greenhouse maintained at 18°C to 25°C. After incubation for 3-5 days, the typical symptoms similar to the symptoms in the field (Figure 5), brown root steles (Figure 6), developed on the plants inoculated with conidial suspension, whereas no symptoms were observed on the control plants. The same pathogen was consistently reisolated from the inoculated roots and confirmed as Fusarium verticillioides based on morphological and molecular analyses. To our knowledge, this is the first report of Fusarium verticillioides on Ammopiptanthus mongolicus in China. This study provides a basis for identifying pathogens causing blight on Ammopiptanthus mongolicus and managing the disease.

Selective adsorption of soluble starch on the cassiterite surface for effective flotation separation of scheelite from cassiterite

Tungsten and tin are important strategic resources. Scheelite and cassiterite have similar physical and chemical properties and face the challenge of flotation separation. This study proposes soluble starch (SS) as an effective depressant for the flotation separation of scheelite from cassiterite. The depression mechanism of SS was investigated using micro-flotation, zeta potential, total organic carbon, Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, and time-of-flight secondary ion mass spectroscopy. SS exhibited a good selective depressive effect on cassiterite and was able to efficiently separate scheelite from cassiterite. The results of artificial mixed mineral test showed that the recovery of scheelite and cassiterite were 79.35 % and 9.48 %, respectively and the grade were 70.15 % and 8.11 %, respectively at pH 10. The macromolecular organic depressant SS has abundant hydrophilic groups, such as hydroxyl groups, which cause the material to stably adsorb on Sn active sites on the surface of cassiterite and hinder the adsorption of the collector sodium oleate (NaOL, C17H33CO2Na). The selective adsorption of SS on the surface of cassiterite results in efficient flotation separation of the two minerals.

Non-Contact Measurement of Alcohol Content Based on Near Infrared Spectroscopy

In order to solve the influence of other external factors on the measurement concentration of alcohol solution, a non-contact measurement method based on near-infrared spectroscopy and BP neural network temperature correction method was proposed in this paper. This method takes into account the influence of temperature on the light intensity of alcohol liquid solution in the detection process, and trains it together with the measurement data as the input of neural network. At the same time, it is compared with the index fitting algorithm, which proves that the method has a good effect on the non-contact measurement of alcohol content.

Construction and Single-Crystal Structures of N-Isoxazolin-5-ylcarbonylindole Derivatives, and Their Pesticidal Activities and Toxicology Study.

To explore natural product-based pesticide candidates, a series of indole derivatives containing the isoxazoline skeleton at the N-1 position were synthesized by 1,3-dipolar [2 + 3] cycloaddition reaction. Their structures were characterized by melting points (mp), infrared (IR) spectra, proton nuclear magnetic resonance spectra (1H NMR), carbon-13 nuclear magnetic resonance spectra (13C NMR), and high resolution mass spectrometry (HRMS). The single-crystal structures of five compounds were presented. Against Tetranychus cinnabarinus Boisduval, compound 3b showed greater than 3.8-fold acaricidal activity of indole and good control effects under glasshouse conditions. Against Aphis citricola Van der Goot, compounds 3b and 3q exhibited 48.3- and 36.8-fold aphicidal activity of indole and 6-methylindole, respectively. Particularly, compound 3b showed good bioactivities against T. cinnabarinus and A. citricola. Against Eriosoma lanigerum Hausmann, compound 3h and 3i showed 2.1 and 1.9 times higher aphicidal activity compared to indole. Furthermore, the construction of the epidermal cuticle layer of 3b-treated carmine spider mites was distinctly damaged, which ultimately led to their death.

Abstract 7583: Discovery of a potent small molecule MALT1 protease inhibitor for the treatment of cancer

Abstract The paracaspase mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1), as the core component of CBM complex (CARD9/10/11/14-BCL10-MALT1), plays an essential role in activating the NF-κB pathway and regulating the cell proliferation, differentiation and immunity. Inhibiting of MALT1 is considered a promising therapeutic approach for the treatment of several non-Hodgkin B-cell lymphomas, chronic lymphocytic leukemia (CLL), solid tumors and autoimmune diseases. Herein, we report the discovery of a novel potent MALT1 allosteric inhibitor, BPI-530616, which strongly inhibited MALT1 protease activity with subnanomolar IC50, and low off-target activity on other proteases. BPI-530616 can inhibit the proliferation of B-cell diffuse large B-cell lymphoma (ABC-DLBCL) cell line, OCI-ly3, bearing CD79b and CARD11 mutations. The cell line is intrinsically resistant to covalent and non-covalent Bruton's Tyrosine Kinase (BTK) inhibitors. Meanwhile, BPI-530616 suppressed the cellular cytokine secretion (e.g.IL-10, IL-2) or MALT1 direct substrate cleavage (e.g. CYLD). In vivo, BPI-530616 dose-dependently suppressed tumor growth and inhibited the cleavage of CYLD in OCI-ly3 xenograft mouse model. To address the role of MALT1 inhibitor in the contest of immune-oncology, a CT26 syngeneic mouse model was set up. Oral administration of BPI-530616 exhibited a good antitumor effect comparable to that of the anti-PD1 antibody, with no observable adverse effects. Additionally, BPI-530616 displayed desirable drug-like properties, including low clearance and good oral bioavailability across multiple pre-clinical species. Taken together, our research has led to the discovery of a novel, potent, selective, and orally bioavailable small molecule MALT1 inhibitor, BPI-530616. It demonstrated anti-tumor efficacy in the DLBCL animal model and showed promising effects in an immune-oncology animal model. Citation Format: Yuzhen Zhou, Bang Fu, Jie Chen, Weidong Cai, Xiao Sun, Yinlong Li, Wei Ren, Qichao Shen, Guolong Du, Xiaojun Zhou, Zhengyao Zou, Haibo Chen, Xiaoyun Liu, Cheng Yang, Xiangyong Liu, Jing Guo, Hao Wu, Lieming Ding, Jiabing Wang, Hong Lan. Discovery of a potent small molecule MALT1 protease inhibitor for the treatment of cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7583.

Treatments related to temporomandibular disorders among patients with prevalent types of Ehlers-Danlos syndrome in Sweden

ABSTRACT The aim of this study was to assess the received TMD treatment modalities and the perceived outcome among the frequent types of EDS. A digital questionnaire was sent to the member of the National Swedish EDS Association during January-March 2022. The subsamples of hypermobile and classical EDS were constructed. Almost 90% reported TMD symptoms. Bite splint therapy, counselling, jaw training and occlusal adjustment were reported as the most common treatments with no statistically significant difference in terms of good effect between the two subsamples. Hypermobile and classical EDS might consider as an entity with regards to TMD.

Application Exploration of Medical Image-aided Diagnosis of Breast Tumour Based on Deep Learning.

Nowadays, people attach increasing importance to accurate and timely disease diagnosis and personalized treatment. Because of the uncertainty and latency of the pathogenesis, it is difficult to detect breast tumour early. With higher resolution, magnetic resonance imaging (MRI) has become an important method for early detection of cancer in recent years. At present, DL technology can automatically study imaging features of different depths. This work aimed to use DL to study medical image-assisted diagnosis. The image data were collected from the patients. ROI (region of interest) containing the complete tumor area in the medical image was generated. The ROI image was extracted, and the extracted feature data were expanded. By constructing a three-dimensional (3D) CNN model, the evaluation indicators of breast tumour diagnosis results have been proposed. In the experiment part, 3D CNN model and other models have been used to diagnose the medical image of breast tumour. The 3D CNN model exhibited good ROI region extraction effect and breast tumor image diagnosis effect, and the average diagnostic accuracy of breast tumor image diagnosis was 0.736, which has been found to be much higher than other models and could be applied to breast tumor medical image-aided diagnosis. The 3D CNN model has been trained by combining the two-dimensional CNN training mode, and the evaluation index of diagnostic results has been established. The experimental part verified the medical image diagnosis effect of the 3D CNN model. The model had exhibited a high ROI region extraction effect and breast tumor image diagnosis effect.

Difficult path to the diagnosis of chromomycosis

Chromomycosis is a slowly occurring mycosis of subcutaneous adipose tissue and skin. Most often, cases of the disease are recorded in countries with a tropical and subtropical climate. In the Russian Federation, the disease occurs sporadically. Very rarely (2 cases out of 100) malignant transformation into squamous cell carcinoma occurs. The article presents a clinical case of chromomycosis. A description is given of a patient in whom squamous cell carcinoma was detected at the onset of the disease, which was the reason for treatment by oncologists. Six months later, the patient had a relapse in the area of the postoperative scar and a focus in the area of the right hand. Repeated biopsy with histological examination made it possible to establish the correct diagnosis. Interest in the above clinical case was caused by the detection of chromomycosis in a resident of the city of Saint Petersburg, who was not in endemic areas, was not engaged in agricultural work, and denied the primary injury. Our patient experienced a rapid malignancy of the focus, after surgical treatment, a recurrence of deep mycosis occurred. A good effect was obtained from systemic antimycotic therapy.

Migration and distribution characteristics of typical organic pollutants in condensable particulate matter of coal-fired flue gas and by-products of wet flue gas desulfurization system.

The wet flue gas desulfurization (WFGD) system of coal-fired power plants shows a good removal effect on condensable particulate matter (CPM), reducing the dust removal pressure for the downstream flue gas purification devices. In this work, the removal effect of a WFGD system on CPM and its organic pollutants from a coal-fired power plant was studied. By analyzing the organic components of the by-products emitted from the desulfurization tower, the migration characteristics of organic pollutants in gas, liquid, and solid phases, as well as the impact of desulfurization towers on organic pollutants in CPM, were discussed. Results show that more CPM in the flue gas was generated by coal-fired units at ultra-low load, and the WFGD system had a removal efficiency nearly 8% higher than that at full load. The WFGD system had significant removal effect on two typical esters, especially phthalate esters (PAEs), with the highest removal efficiency of 49.56%. In addition, the WFGD system was better at removing these two esters when the unit was operating at full load. However, it had a negative effect on n-alkanes, which increased the concentration of n-alkanes by 8.91 to 19.72%. Furthermore, it is concluded that the concentration distribution of the same type of organic pollutants in desulfurization wastewater was similar to that in desulfurization slurry, but quite different from that in coal-fired flue gas. The exchange of three organic pollutants between flue gas and desulfurization slurry was not significant, while the concentration distribution of organic matters in gypsum was affected by coal-fired flue gas.

Statistical segmentation model for accurate electrode positioning in Parkinson's deep brain stimulation based on clinical low-resolution image data and electrophysiology.

Deep Brain Stimulation (DBS), applying chronic electrical stimulation of subcortical structures, is a clinical intervention applied in major neurologic disorders. In order to achieve a good clinical effect, accurate electrode placement is necessary. The primary localisation is typically based on presurgical MRI imaging, often followed by intra-operative electrophysiology recording to increase the accuracy and to compensate for brain shift, especially in cases where the surgical target is small, and there is low contrast: e.g., in Parkinson's disease (PD) and in its common target, the subthalamic nucleus (STN). We propose a novel, fully automatic method for intra-operative surgical navigation. First, the surgical target is segmented in presurgical MRI images using a statistical shape-intensity model. Next, automated alignment with intra-operatively recorded microelectrode recordings is performed using a probabilistic model of STN electrophysiology. We apply the method to a dataset of 120 PD patients with clinical T2 1.5T images, of which 48 also had available microelectrode recordings (MER). The proposed segmentation method achieved STN segmentation accuracy around dice = 0.60 compared to manual segmentation. This is comparable to the state-of-the-art on low-resolution clinical MRI data. When combined with electrophysiology-based alignment, we achieved an accuracy of 0.85 for correctly including recording sites of STN-labelled MERs in the final STN volume. The proposed method combines image-based segmentation of the subthalamic nucleus with microelectrode recordings to estimate their mutual location during the surgery in a fully automated process. Apart from its potential use in clinical targeting, the method can be used to map electrophysiological properties to specific parts of the basal ganglia structures and their vicinity.

Study on Micro-Pressure Drive in the KKM Low-Permeability Reservoir

Kazakhstan has abundant resources of low-permeability oil reservoirs, among which the KKM low-permeability oil reservoir has geological reserves of 3844 × 104 t and a determined recoverable reserve of 1670 × 104 t. However, the water flooding efficiency is only 68%, and the recovery efficiency is as low as 32%. The development of the reservoir faces challenges such as water injection difficulties and low oil production from wells. In order to further improve the oil recovery rate of this reservoir, our team developed micro-pressure-driven development technology based on pressure-driven techniques by integrating theories of fluid mechanics and artificial intelligence. We also combined this with subsequent artificial lift schemes, resulting in a complete set of micro-pressure-driven process technology. The predicted results indicate that after implementing micro-pressure-driven techniques, a single well group in the KKM oilfield can achieve a daily oil production increase of 32.08 t, demonstrating a good development effect.

Erythrocyte Membrane Camouflaged Nanotheranostics for Optical Molecular Imaging-Escorted Self-Oxygenation Photodynamic Therapy.

Hypoxic tumor microenvironment (TME) hampers the application of oxygen (O2 )-dependent photodynamic therapy (PDT) in solid tumors. To address this problem, a biomimetic nanotheranostics (named MMCC@EM) is developed for optical molecular imaging-escorted self-oxygenation PDT. MMCC@EM is synthesized by encapsulating chlorin e6 (Ce6) and catalase (CAT) in metal-organic framework (MOF) nanoparticles with erythrocyte membrane (EM) camouflage. Based on the biomimetic properties of EM, MMCC@EM efficiently accumulates in tumor tissues. The enriched MMCC@EM achieves TME-activatable drug release, thereby releasing CAT and Ce6, and this process can be monitored through fluorescence (FL) imaging. In addition, endogenous hydrogen peroxide (H2 O2 ) will be decomposed by CAT to produce O2 , which can be reflected by the measurement of intratumoral oxygen concentration using photoacoustic (PA) imaging. Such self-oxygenation nanotheranostics effectively mitigatetumor hypoxia and improve the generation of singlet oxygen (1 O2 ). The 1 O2 disrupts mitochondrial function and triggers caspase-3-mediated cellular apoptosis. Furthermore, MMCC@EM triggers immunogenic cell death (ICD) effect, leading to an increased infiltration of cytotoxic T lymphocytes (CTLs) into tumor tissues. As a result, MMCC@EM exhibits good therapeutic effects in 4T1-tumor bearing mice under the navigation of FL/PA duplex imaging.

Rational Design of PARP1/c-Met Dual Inhibitors for Overcoming PARP1 Inhibitor Resistance Induced by c-Met Overexpression.

The emergence of resistance to PARP1 inhibitors poses a current therapeutic challenge, necessitating the development of novel strategies to overcome this obstacle. The present study describes the design and synthesis of a series of small molecules that target both PARP1 and c-Met. Among them, compound 16 is identified as a highly potent dual inhibitor, exhibiting excellent inhibitory activities against PARP1 (IC50 = 3.3 nM) and c-Met (IC50 = 32.2 nM), as well as demonstrating good antiproliferative effects on HR-proficient cancer cell lines and those resistant to PARP1 inhibitors. Importantly, compound 16 demonstrates superior antitumor potency compared to the PARP1 inhibitor Olaparib and the c-Met inhibitor Crizotinib, either alone or in combination, in MDA-MB-231 and HCT116OR xenograft models. These findings highlight the potential of PARP1/c-Met dual inhibitors for expanding the indications of PARP1 inhibitors and overcoming tumor cells' resistance to them.

Injectable Double Crosslinked Hydrogel-Polypropylene Composite Mesh for Repairing Full-Thickness Abdominal Wall Defects.

Abdominal wall defects are common clinical diseases, and mesh repair is the standard treatment method. The most commonly used polypropylene (PP) mesh in clinical practice has the advantages of good mechanical properties, stable performance, and effective tissue integration effect. However, direct contact between abdominal viscera and PP mesh can lead to severe abdominal adhesions. To prevent this, the development of a hydrogel-PP composite mesh with anti-adhesive properties may be an effective measure. Herein, biofunctional hydrogel loaded with rosmarinic acid is developed by modifying chitosan and Pluronic F127, which possesses suitable physical and chemical properties and commendable in vitro biocompatibility. In the repair of full-thickness abdominal wall defects in rats, hydrogels are injected onto the surface of PP mesh and applied to intraperitoneal repair. The results indicate that the use of hydrogel-PP composite mesh can alleviate abdominal adhesions resulting from traditional PP mesh implantation by decreasing local inflammatory response, reducing oxidative stress, and regulating the fibrinolytic system. Combined with the tissue integration ability of PP mesh, hydrogel-PP composite mesh has great potential for repairing full-thickness abdominal wall defects.

Investigation of phenolic contents and in vitro biological activities of Inula helenium subsp. pseudohelenium extracts

AbstractThe purpose of the present study was to investigate the phenolic profile, antioxidant capacity, and biological activity of Inula helenium subsp. pseudohelenium extracts, for the first time. Phenolic substances in leaf ethanol (L-EtOH), leaf pure water (L-PW), root ethanol (R-EtOH), and root pure water (R-PW) extracts of I. helenium subsp. pseudohelenium plant were investigated by HPLC. Also, the antimicrobial (hollow agar), antioxidant, antiproliferative, and DNA protective activities of the samples were examined in vitro. Gallic acid was not detected in the extracts, the presence of curcumin was detected only in EtOH extracts. L-EtOH exhibited the best antimicrobial activity. According to the antioxidant results, the L-EtOH extract had an activity profile close to the standard antioxidants in general. It was also found that the L-EtOH extract stabilised the DNA by disrupting the scavenging effect of H2O2+DMSO. According to the antiproliferative activity results, EtOH extracts exhibited the strongest effect, especially against MCF7 cancer cell lines. When evaluated in general terms, it was found that L-EtOH extract showed better activity than other extracts. It is important to conduct more in vivo and in vitro studies after isolating the active components of extracts e.g. L-EtOH, which have good effects in terms of biological activity.

Mechanism of improving anaerobic fermentation performance of kitchen waste pretreated by ionizing irradiation-part 1: rice.

Ionizing irradiation, as a new pretreatment method for the anaerobic fermentation of organic pollutants, is featured with fast reaction speed, good treatment effect, no need to add any chemical reagents, and no secondary pollution. This study explores the mechanism of improving anaerobic fermentation performance of rice samples pretreated by cobalt-60 gamma irradiation through the influence on fermentation substrate, acidogenic phase and methanogenic phase. The results reveal that the soluble chemical oxygen demand of the irradiated rice sample at an absorbed dose of 9.6 kGy increases by 12.4 times due to the dissolution of small molecules of fat-soluble organic matter. The yield of biogas in the acidogenic phase increases by 22.2% with a slight increase in hydrogen gas content. The yield of biogas and methane gas content in the methanogenic phase increases by 27.3% and 15%, respectively. Microbial genome analysis, performed with MiSeq high-throughput sequencing and metagenomic methods, suggests the microbial abundance and metabolic functions in the anaerobic fermentation process change significantly as a result of the pretreatment by gamma irradiation.

Research on Lighting Schemes for College Gymnasiums Based on Dynamic Light Environment Simulation

The purpose of this study is to explore and optimize natural lighting schemes for college gymnasiums through dynamic light environment simulation. The study used Daysim software, combined with Rhino &amp; Grasshopper for modeling and parameter optimization, to evaluate different lighting schemes through a multi-objective optimization approach. The results show that the effective indoor illuminance of the top lighting scheme at DA300lx, UDI100-2000lx, aDGP(0.4), DA580lx, and UDI300-890lx are 91.50%, 88.44%, 90.58\%, 92.56%, and 52.89%, respectively, which show good lighting effects. The side lighting scheme also shows excellent lighting performance in different configurations. In addition, the side + top synergistic light harvesting scheme achieved efficient light environment utilization while ensuring visual comfort. This study suggests that the top and side synergistic lighting scheme can effectively enhance the natural lighting effect of the gymnasium. This study provides a scientific basis for the lighting design of college gymnasiums and is of great significance in guiding the actual engineering design.