bluuebunny/crossref_metadata_2025 huggingface dataset:
MCPIP1 restrains mucosal inflammation by orchestrating the intestinal monocyte to macrophage maturation via an ATF3-AP1S2 axis
Authors: Lu Huiying , Zhang Cui , Wu Wei , Chen Huimin , Lin Ritian , Sun Ruicong , Gao Xiang , Li Gengfeng , He Qiong , Gao Han , Wu Xiaohan , Lin Jian , Zhu Ruixin , Niu Jianli , Kolattukudy Pappachan E , Liu Zhanju
Published: September 2022

Objective

Monocyte chemotactic protein-1-induced protein 1 (MCPIP1) is highly expressed in inflamed mucosa of inflammatory bowel disease (IBD) and negatively regulates immune response, while the underlying mechanisms regulating mucosal macrophage functions remain unknown. Here, we investigated the roles of MCPIP1 in modulating the differentiation and functions of intestinal macrophages in the pathogenesis of IBD.

Design

ScRNA-seq was used to cluster the monocyte/macrophage lineage from macrophage-specificMcpip1-deficient (Mcpip1∆Mye) mice andMcpip1fl/fllittermates. The differentially expressed genes were confirmed by RNA-seq, luciferase assay, CUT&Tag assay and Western blotting. Effects of MCPIP1 and the activating transcription factor 3 (ATF3)-AP1S2 axis were assessed in patients with IBD.

Results

Mcpip1∆Myemice developed more severe dextran sulfate sodium (DSS)-induced colitis characterised by an increase in macrophage migratory capacity and M1 macrophage polarisation but a decrease in the monocyte-to-macrophage maturation in gut mucosa compared with their littermates. ScRNA-seq unravelled a proinflammatory population (Ccr2+Il-1β+Tlr2+Cx3cr1−Cd163−Mrc1−Ly6c+) of the monocyte/macrophage lineage from lamina propria CD11b+cells and an arrest ofMcpip1∆Myemonocyte-to-macrophage maturation in an Atf3-Ap1s2 axis-dependent manner. Silencing of Ap1s2 or Atf3 markedly suppressedMcpip1∆Myemacrophage migration, M1-like polarisation, and production of proinflammatory cytokines and chemokines. Notably, in vivo blockage of Ap1s2 ameliorated DSS-induced colitis inMcpip1ΔMyemice through enhancing intestinal macrophage maturation. Furthermore, MCPIP1, ATF3 and AP1S2 were highly expressed in inflamed mucosa of active patients with IBD and blockage of ATF3 or AP1S2 significantly suppressed IBD CD14+-derived M1-like macrophage polarisation and proinflammatory cytokine production.

Conclusions

Macrophage-specificMcpip1deficiency polarises macrophages towards M1-like phenotype, arrests macrophage maturation and exacerbates intestinal inflammation in an Atf3-Ap1s2-dependent manner, thus providing novel mechanistic insight into intestinal macrophage functions during IBD.
Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN
Authors: Morgan Eileen , Arnold Melina , Gini A , Lorenzoni V , Cabasag C J , Laversanne Mathieu , Vignat Jerome , Ferlay Jacques , Murphy Neil , Bray Freddie
Published: September 2022

Objective

Colorectal cancer (CRC) is the third most common cancer worldwide. The geographical and temporal burden of this cancer provides insights into risk factor prevalence and progress in cancer control strategies. We examine the current and future burden of CRC in 185 countries in 2020 and 2040.

Methods

Data on CRC cases and deaths were extracted from the GLOBOCAN database for the year 2020. Age-standardised incidence and mortality rates were calculated by sex, country, world region and Human Development Index (HDI) for 185 countries. Age-specific rates were also estimated. The predicted number of cases and deaths in 2040 were calculated based on global demographic projections by HDI.

Results

Over 1.9 million new CRC cases and 930 000 deaths were estimated in 2020. Incidence rates were highest in Australia/ New Zealand and European regions (40.6 per 100 000, males) and lowest in several African regions and Southern Asia (4.4 per 100 000, females). Similar patterns were observed for mortality rates, with the highest observed in Eastern Europe (20.2 per 100 000, males) and the lowest in Southern Asia (2.5 per 100 000, females). The burden of CRC is projected to increase to 3.2 million new cases and 1.6 million deaths by 2040 with most cases predicted to occur in high or very high HDI countries.

Conclusions

CRC is a highly frequent cancer worldwide, and largely preventable through changes in modifiable risk factors, alongside the detection and removal of precancerous lesions. With increasing rates in transitioning countries and younger adults, there is a pressing need to better understand and act on findings to avert future cases and deaths from the disease.
Reticulocyte haemoglobin equivalent (RET-He) as an early marker of responsiveness to oral iron supplementation
Authors: Pei Lulu X , Kroeun Hou , Karakochuk Crystal D
Published: September 2022

Aim

We investigated the potential of reticulocyte haemoglobin equivalent (RET-He) as an early marker of responsiveness to iron supplementation.

Methods

Data were obtained from a randomised controlled trial of daily iron supplementation in 356 Cambodian women (18–45 y) who received 60 mg elemental iron for 12 weeks. A fasted venous blood specimen was collected at baseline, 1-week and 12-week timepoints. Whole blood haemoglobin (g/L) and RET-He (pg) were measured using a Sysmex haematology analyser. RET-He measures were evaluated for their predictive ability on haemoglobin response to iron supplementation (defined as ≥10 g/L at 12 weeks). Receiver operating characteristic (ROC) curves were used to assess discrimination performance, and the area under the ROC curve (AUCROC) served as a measure of the ability of each predictor to discriminate between women likely or unlikely to elicit a haemoglobin response.

Results

Predictive ability (AUCROC(95% CI)) of baseline, 1-week, and change from baseline to 1-week RET-He on haemoglobin response was 0.70 (0.63 to 0.76), 0.48 (0.41 to 0.56) and 0.81 (0.75 to 0.87), respectively. Based on the Youden index, an absolute increase in RET-He of ~1.1 pg or a percentage increase of ~4.4% over 1 week were optimal thresholds to predict responsiveness to iron supplementation.

Conclusion

Single timepoint RET-He measures have poor predictive ability; however, change in RET-He after 1 week was a strong predictor of haemoglobin response among Cambodian women receiving 60 mg elemental iron and can be measured easily and quickly after only 1 week of iron therapy.
Associations between cohort study participation and self-reported health and well-being: the Northern Finland Birth Cohort 1966 Study
Authors: Taanila Heli , Rönkä Anna Reetta , Keinänen-Kiukaanniemi Sirkka , Jokelainen Jari , Nordström Tanja , Taanila Anja , Hurtig Tuula
Published: September 2022

Aim

The aim of this study was to explore whether active participation in a longitudinal birth cohort study is associated with study participants’ health behaviour and well-being.

Methods

The subjects of this study were part of the Northern Finland Birth Cohort 1966. The follow-up data were collected through clinical examinations and questionnaires when the cohort members were 1, 14, 31 and 46 years old. In this study, cohort participation activity was divided into three categories: active, semiactive and least active.

Results

The total number of study participants who participated in the 46-year follow-up on both the survey and clinical trials was 6392, of which 66.5% (n=4268) participated actively in the cohort study. A total of 67.6% were female (p<0.001). Of the participants, 23.7% (n=1519) were semiactive and 9.5% (n=605) were the least active. Women who participated least actively experienced statistically significantly more depressive symptoms and poorer health, were more dissatisfied with their lives and had more addiction problems. In men, there was not a statistically significant association between participation activity and these well-being variables other than addiction problems and mental health.

Conclusions

The findings indicate that participation activity is associated with better self-reported health and well-being, especially among women. With this knowledge, people can be encouraged to participate in longitudinal health research and, at the same time, may improve their own health and quality of life.
Comparison of the diagnostic accuracy of the 2021 EAN/PNS and 2010 EFNS/PNS diagnostic criteria for chronic inflammatory demyelinating polyradiculoneuropathy
Authors: Doneddu Pietro Emiliano , De Lorenzo Alberto , Manganelli Fiore , Cocito Dario , Fazio Raffaella , Briani Chiara , Mazzeo Anna , Filosto Massimiliano , Cosentino Giuseppe , Benedetti Luana , Schenone Angelo , Marfia Girolama Alessandra , Antonini Giovanni , Matà Sabrina , Luigetti Marco , Liberatore Giuseppe , Spina Emanuele , Peci Erdita , Strano Camilla , Cacciavillani Mario , Gentile Luca , Cotti Piccinelli Stefano , Cortese Andrea , Bianchi Elisa , Nobile-Orazio Eduardo
Published: September 2022

Objectives

To compare the sensitivity and specificity of the 2021 European Academy of Neurology/Peripheral Nerve Society (EAN/PNS) diagnostic criteria for chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) with those of the 2010 European Federation of Neurological Societies/Peripheral Nerve Society (EFNS/PNS).

Methods

Sensitivity and specificity of the two sets of criteria were evaluated in 330 patients with CIDP and 166 axonal peripheral neuropathy controls. Comparison of the utility of nerve conduction studies with different number of nerves examined and of the sensitivity and specificity of the two criteria in typical CIDP and its variants were assessed.

Results

EFNS/PNS criteria had a sensitivity of 92% for possible CIDP and 85% for probable/definite CIDP, while the EAN/PNS criteria had a sensitivity of 83% for possible CIDP and 74% for CIDP. Using supportive criteria, the sensitivity of the EAN/PNS criteria for possible CIDP increased to 85% and that of CIDP to 77%, remaining lower than that of the EFNS/PNS criteria. Specificity of the EFNS/PNS criteria was 68% for possible CIDP and 84% for probable/definite CIDP, while the EAN/PNS criteria had a specificity of 88% for possible CIDP and 98% for CIDP. More extended studies increased the sensitivity of both sets of criteria by 4%–7% but reduced their specificity by 2%–3%. The EFNS/PNS criteria were more sensitive for the diagnosis of typical CIDP while the EAN/PNS criteria were more specific for the diagnosis of distal and sensory CIDP.

Conclusions

In our population, the EAN/PNS criteria were more specific but less sensitive than the EFNS/PNS criteria. With the EAN/PNS criteria, more extended nerve conduction studies are recommended to obtain an acceptable sensitivity while maintaining a high specificity.
Closing the empathy gap towards equitable outcomes: gender equity in the medical workforce
Authors: Bharwani Aleem , Ruzycki Shannon M
Published: September 2022

Background

Empathy failures lead to equity failures. Women and men physicians experience work differently. Men physicians, however, may be unaware how these differences impact their colleagues. This constitutes an empathy gap; empathy gaps are associated with harm to outgroups. In our previous published work, we found that men had divergent views from women about the experiences of women relating to gender equity; senior men differed most from junior women. Since men physicians hold disproportionately more leadership roles than women, this empathy gap warrants exploration and remediation.

Analysis

Gender, age, motivation and power each seems to influence our empathic tendencies. Empathy, however, is not a static trait. Empathy can be developed and displayed by individuals through their thoughts, words and actions. Leaders can also influence culture by enshrining an empathic disposition in our social and organisation structures.

Conclusions

We outline methods to increase our empathic capacities as individuals and organisations through perspective-taking, perspective-giving and verbal commitments to institutional empathy. In doing so, we challenge all medical leaders to herald an empathic transformation of our medical culture in pursuit of a more equitable and pluralistic workplace for all groups of people.
Case-based discussion: neonates on extracorporeal membrane oxygenation for undiagnosed recalcitrant pulmonary hypertension—management challenges
Authors: King John A , Desai Ajay , Semple Tom , Nicholson Andrew G , Bush Andrew , Sonnappa Samatha
Published: September 2022

We present two neonates requiring extracorporeal membrane oxygenation for undiagnosed recalcitrant pulmonary hypertension, highlighting the clinical and ethical dilemmas in management of very rare diseases.
New insight into 3-picoline—deuterium oxide (D2O) mixtures of limited miscibility with the lower critical consolute temperature
Authors: Kalabiński Jakub , Drozd-Rzoska Aleksandra , Rzoska Sylwester J.
Published: September 2022

Coexistence curves in mixtures of limited miscibility with the lower critical consolute temperature (LCT), of 3-picoline with deuterium oxide (D2O), and D2O/H2O have been determined. They were tested with respect to the order parameter, the diameter of the binodal, and coordinates of the critical consolute point (critical temperature $${T}_{\mathrm{C}}$$

T
C

and critical concentration $${\phi }_{\mathrm{C}}$$

ϕ
C

). Studies were carried out using the innovative method based on the analysis of relative volumes occupied by coexisting phases, yielding high-resolution data. The clear violation of the Cailletet-Mathew law of rectilinear diameter for the LCT mixtures of limited miscibility is evidenced. For the order parameter, the new distortion-sensitive analysis method yielded the evidence for the model-value of the order parameter critical exponent $$\beta =0.326\pm 0.003$$

β
=
0.326
±
0.003

, up to ca. 1 K from $${T}_{\mathrm{C}}$$

T
C

. Finally, the simple & easy method for determining the critical concentration by testing relative volumes of coexisting phases (or alternatively fractional meniscus heights, h) is presented. The significance of the invariant value $${h}_{\mathrm{C}}=h\left({T}_{\mathrm{C}},{\phi }_{\mathrm{C}}\right)=1/2$$

h
C

=
h

T
C

,

ϕ
C

=
1
/
2

is highlighted. The appearance of the milky & bluish critical opalescence is also shown.

Graphical abstract
Gravitational entanglement and the mass contribution of internal energy in nonrelativistic quantum systems
Authors: Großardt André
Published: September 2022

Recently, interest has increased in the entanglement of remote quantum particles through the Newtonian gravitational interaction, both from a fundamental perspective and as a test case for the quantization of gravity. Likewise, post-Newtonian gravitational effects in composite nonrelativistic quantum systems have been discussed, where the internal energy contributes to the mass, promoting the mass to a Hilbert space operator. Employing a modified version of a previously considered thought experiment, it can be shown that both concepts, when combined, result in inconsistencies, reinforcing the arguments for the necessity of a rigorous derivation of the nonrelativistic limit of gravitating quantum matter from first principles.
Towards Intelligent Attack Detection Using DNA Computing
Authors: Zeng Zengri , Zhao Baokang , Chao Han-Chieh , You Ilsun , Yeh Kuo-Hui , Meng Weizhi
Published: September 2022

In recent years, frequent network attacks have seriously threatened the interests and security of humankind. To address this threat, many detection methods have been studied, some of which have achieved good results. However, with the development of network interconnection technology, massive amounts of network data have been produced, and considerable redundant information has been generated. At the same time, the frequently changing types of cyberattacks result in great difficulty collecting samples, resulting in a serious imbalance in the sample size of each attack type in the dataset. These two problems seriously reduce the robustness of existing detection methods, and existing research methods do not provide a good solution. To address these two problems, we define an unbalanced index and an optimal feature index to directly reflect the performance of a detection method in terms of overall accuracy, feature subset optimization, and detection balance. Inspired by DNA computing, we propose intelligent attack detection based on DNA computing (ADDC). First, we design a set of regular encoding and decoding features based on DNA sequences and obtain a better subset of features through biochemical reactions. Second, nondominated ranking based on reference points is used to select individuals to form a new population to optimize the detection balance. Finally, a large number of experiments are carried out on four datasets to reflect real-world cyberattack situations. Experimental results show that compared with the most recent detection methods, our method can improve the overall accuracy of multiclass classification by up to 10%; the imbalance index decreased by 0.5, and 1.5 more attack types were detected on average; and the optimal index of the feature subset increased by 83.8%.
Sensor-based Human Activity Recognition Using Graph LSTM and Multi-task Classification Model
Authors: Cao Jie , Wang Youquan , Tao Haicheng , Guo Xiang
Published: September 2022

This paper explores human activities recognition from sensor-based multi-dimensional streams. Recently, deep learning-based methods such as LSTM and CNN have achieved important progress in practical application scenarios. However, in most previous deep learning-based methods exist potential challenges such as class imbalance and multi-modal heterogeneity with time and sensor signals. To handle those problems, we propose a
graph LSTM and Metric Learning model (GLML)
with multiple construction graph fusion by modeling the sensor-aspect signals and the graph-aspect activities. GLML is a semi-supervised co-training architecture, which can be seen as several iteratively pseudo-labels sampling processing in the unlabeled data. Specifically, we construct three graphs to capture the different relations in each timestamp. Meanwhile, the graph attention model and attention mechanism are proposed to integrate multiple graph interactions for different sensor signals. Furthermore, to obtain a fixed representation of hidden state units and their neighboring nodes, we introduce the Graph LSTM to learn the graph-aspect relations from graph-structured constructed graphs. Notably, we propose a multi-task classification model combining loss function for classification distribution with deep metric learning to enhance the representation ability of the multi-modal sensor data. Experimental results on three public datasets demonstrate that our proposed GLML model has at least 2.44% improved in average against the state-of-the-art methods.
Realtime Recognition of Dynamic Hand Gestures in Practical Applications
Authors: Xiao Yi , Liu Tong , Han Yu , Liu Yue , Wang Yongtian
Published: September 2022

Dynamic hand gesture acting as a semaphoric gesture is a practical and intuitive mid-air gesture interface. Nowadays benefiting from the development of deep convolutional networks, the gesture recognition has already achieved a high accuracy, however, when performing a dynamic hand gesture such as gestures of direction commands, some unintentional actions are easily misrecognized due to the similarity of the hand poses. This hinders the application of dynamic hand gestures and cannot be solved by just improving the accuracy of the applied algorithm on public datasets, thus it is necessary to study such problems from the perspective of human-computer interaction. In this article, two methods are proposed to avoid misrecognition by introducing activation delay and using asymmetric gesture design. First the temporal process of a dynamic hand gesture is decomposed and redefined, then a realtime dynamic hand gesture recognition system is built through a two-dimensional convolutional neural network. In order to investigate the influence of activation delay and asymmetric gesture design on system performance, a user study is conducted and experimental results show that the two proposed methods can effectively avoid misrecognition. The two methods proposed in this article can provide valuable guidance for researchers when designing realtime recognition system in practical applications.
LoRaWAN Security: An Evolvable Survey on Vulnerabilities, Attacks and their Systematic Mitigation
Authors: Hessel Frank , Almon Lars , Hollick Matthias
Published: September 2022

The changing vulnerability and threat landscape constantly challenge the security of wireless communication standards and protocols. For the Internet of Things (IoT), LoRaWAN is one of the dominant technologies for urban environments, industrial settings, or critical infrastructures due to its low-power and long-range capabilities. LoRaWAN IoT deployments are expected to operate for multiple years or even decades. Hence, it is imperative to maintain operational security at all times while continuously evolving the security of the standard and its implementations. We survey LoRaWAN security and follow a systematic and evolvable approach that can be dynamically updated. To this end, we propose a novel methodology to create evolvable surveys which relate the analyzed critical security concepts, thus allowing IT security experts to reason about LoRaWAN security properties over time. With this, we provide a tool to hardware manufacturers, software developers and providers, and network operators to achieve sustainable security for IoT deployments.
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations
Authors: Chen Ruoyu , Li Jingzhi , Zhang Hua , Sheng Changchong , Liu Li , Cao Xiaochun
Published: September 2022

Recently, we have witnessed substantial success using the deep neural network in many tasks. Although there still exist concerns about the explainability of decision making, it is beneficial for users to discern the defects in the deployed deep models. Existing explainable models either provide the image-level visualization of attention weights or generate textual descriptions as post hoc justifications. Different from existing models, in this article we propose a new interpretation method that explains the image similarity models by salience maps and attribute words. Our interpretation model contains visual salience maps generation and the counterfactual explanation generation. The former has two branches: global identity relevant region discovery and multi-attribute semantic region discovery. The first branch aims to capture the visual evidence supporting the similarity score, which is achieved by computing counterfactual feature maps. The second branch aims to discover semantic regions supporting different attributes, which helps to understand which attributes in an image might change the similarity score. Then, by fusing visual evidence from two branches, we can obtain the salience maps indicating important response evidence. The latter will generate the attribute words that best explain the similarity using the proposed erasing model. The effectiveness of our model is evaluated on the classical face verification task. Experiments conducted on two benchmarks—VGGFace2 and Celeb-A—demonstrate that our model can provide convincing interpretable explanations for the similarity. Moreover, our algorithm can be applied to evidential learning cases, such as finding the most characteristic attributes in a set of face images, and we verify its effectiveness on the VGGFace2 dataset.
Motor cortex plasticity is greater in endurance-trained cyclists following acute exercise
Authors: Hand Brodie J. , Opie George M. , Sidhu Simranjit K. , Semmler John G.
Published: September 2022

We use a novel form of repetitive transcranial magnetic stimulation to show that motor cortex plasticity is increased after acute exercise and that this effect is bolstered in endurance-trained cyclists. These findings indicate that participation in regular endurance exercise (involving lower limb muscles) has widespread effects on cortical plasticity (assessed in unexercised upper limb muscles) following acute lower-limb cycling exercise. It also highlights that exercise history is an important factor in exercise-induced cortical plasticity.
Adaptive VR Video Data Transmission Method Using Mobile Edge Computing Based on AIoT Cloud VR
Authors: Wang Min , Zhang Fuquan , Ma Linjuan , Tian Ye
Published: September 2022

Aiming at the high requirements of cloud service-based virtual reality in AIoT for data transmission rate and delay sensitivity, a cloud VR system scheme based on MEC (Mobile Edge Computing) is proposed, which mainly incorporates viewpoint-based VR video data processing and hybrid digital-to-analog (HDA) transmission optimization and can be served for AIoT transmission filed. Firstly, a learning-driven multiaccess MEC offloading strategy is designed, in which the VR terminal automatically selects the optimal MEC server for task offloading, thereby effectively improving network efficiency and reducing service delay. Secondly, the progressive transmission of the VR data is realized through viewpoint-aware dynamic streaming based on RoI (region of interest) and the priorities of different objects. The transmission priority of each object in the scene is determined through the ROI layering, which effectively solves the contradiction between the large data volume in the VR scenes and the network bandwidth limitation when applied in AIoT domain, and further improves the real-time performance of the system. Then, the HDA (hybrid digital-analog) technique is introduced to optimize the transmission. Finally, the base station protocol stack is modified on the basis of the LTE (Long-Term Evolution) system, and the MEC technology is integrated to realize a complete cloud VR system in AIoT. The experimental results show that compared with other advanced schemes, the proposed scheme can achieve more robust and efficient data transmission performance and provide better VR user experience.
Enterprise Precision Marketing Strategy and Quality Management Mobile Information System Based on Customer Satisfaction
Authors: Wang Lai-Wang , Hung Chen-Chih , Hsieh Ching-Tang
Published: September 2022

With the increasingly fierce competition in the product economy, there are more and more constraints on the development of enterprises, especially from the requirements of customers. Enterprises should be committed to development and meet customer needs first. However, the existing marketing plan and quality management also take customer satisfaction into account, so this paper aims to design the enterprise precision marketing strategy and quality management mobile information system based on the customer satisfaction model. For the precise marketing strategy of enterprises, this paper proposes three indicators of product quality, product delivery, and product service based on the customer satisfaction model and uses the hesitant fuzzy set to quantify the indicator model and apply it in the information system. For the quality management system, this paper uses PDCA cycle indicators to upgrade and optimize the quality management system. The test results show that the system has achieved a customer retention rate of 95% in terms of precise marketing strategies; in terms of quality management, it has improved the quality of enterprise products by about 20%. In the overall test of the system, the communication delay and reliability of the system are obviously optimized. This proves that the system can adjust the marketing strategy in real time according to the opinions of customers, achieve the purpose of precise marketing, and improve the quality management to a new height in line with customer satisfaction which shows that the information system designed in this paper can meet the purpose of precise marketing strategy and quality management of enterprises.
Environmental Impact Assessment of Production Plant during Construction Period
Authors: Kong Lu
Published: September 2022

Based on the construction project of a manufacturing plant, the environmental impact assessment of possible environmental pollution during the construction period was carried out from the perspective of atmosphere, water, noise, and solid waste. The analysis of air pollution indicates that dust and motor vehicle exhaust are the main air pollution factors, of which dust emission is 33 t, and the daily emission of NOx, CO, and THC in tail gas is 5.35 kg, 3.7 kg, and 1.1 kg, respectively. The annual average wind speed of the area where the factory is located is 3.15 m/s, and the average wind speed in August is 2.50 m/s, which is 20.6% lower than the annual average. The annual average monthly precipitation is 59.5 mm, and the precipitation in July is 186.4 mm, which is 213.3% higher than the monthly average. Therefore, summer is the best time for construction. Meanwhile, in addition to taking road hardening measures to reduce emissions, dust can also be restrained through watering, and motor vehicle exhaust is reduced through reasonable operation. Water pollution analysis shows that the pH of groundwater in the factory is within the standard limit range (6.5-8.5), and the maximum standard index is less than 0.1, with a very high level of reaching the standard. Cleaning engineering machinery will produce wastewater containing petroleum substances and suspended solids. The amount of wastewater produced every day is 0.5 m3, which can be used for dust suppression. The daily amount of sewage during the construction period is 0.6 m3, which can be directly discharged to the pipe network without polluting local water sources. Noise pollution analysis shows that the minimum distance between day construction and night construction is 50 m and 281 m, respectively. Although there is large construction machinery in the construction area, the construction area itself is in the production area and there are other noise pollution sources around it, so there will not be obvious noise pollution during the construction period. The analysis of solid waste pollution indicates that the total amount of construction waste generated during the construction period is about 4.2 t, and the daily production of domestic waste is 21 kg. Part of various solid wastes is collected and treated in a centralized manner, while the rest can conducted with landfill treatment after part of them is recycled and utilized, without causing significant pollution to the local environment.
Delayed Supplementation Strategy of Extracellular Vesicles from Adipose-Derived Mesenchymal Stromal Cells with Improved Proregenerative Efficiency in a Fat Transplantation Model
Authors: Mou Shan , Li Yuan , Sun Di , Zhou Muran , Li Jialun , Chen Lifeng , Liu Shaokai , Yang Jie , Xiao Peng , Tong Jing , Wang Zhenxing , Sun Jiaming
Published: September 2022

Background. Mesenchymal stromal cells (MSCs) and their secreted extracellular vesicles (MSC-EVs) possess similar proregenerative effects when injected into defects immediately following trauma. However, MSC-EVs are superior to MSCs in terms of storage and rejection reflection, while immediate administration of MSC-EVs is related to several target cells for most donor cells die within few weeks. Besides, the inflammatory cascade is incited, providing an unfavorable environment for target cells. We hypothesized that delayed injection of MSC-EVs might have priority on tissue regeneration than instant injection. Method. Extracellular vesicles isolated from adipose-derived mesenchymal stromal cells (ADSC-EVs) were administered into human umbilical vein endothelial cells (HUVECs) in vitro at different doses. The migration of HUVECs was assessed using the scratch wound healing assay, whereas the length of tubes and number of vessel-like structures formed by HUVECs were determined using tube formation assay. Next, 24 BALB/c nude mice were randomly divided into three groups (

n
=
8

). For the EV-delayed group, ADSC-EVs were injected into transplanted fat a week later than the EV-immediate group. The volume and weight of grafts were measured at 3 months after fat transplantation. Further, the number of CD31-possitive vessels and CD206-possitive cells in the fat grafts was quantified. Results. Compared with the EV-immediate group, the EV-delayed group had a higher fat tissue retention volume (

0.11
±
0.02

 mL versus

0.08
±
0.01

 mL), more neovessels (

31.00
±
4.60

versus

24.20
±
3.97

), and fewer cysts. Furthermore, there were more Ki67-positive cells (

25.40
±
7.14

versus

16.20
±
4.17

) and CD206-positive M2 macrophages cells (

23.60
±
3.44

versus

14.00
±
3.85

) in the EV-delayed group than in the EV-immediate group. Conclusion. Delayed injection of ADSC-EVs promotes fat graft volume retention by stimulating angiogenesis. These findings suggest that delayed supplementation might be a more effective strategy for the application of MSC-EVs in tissue regeneration.
Strategic Flexibility, Institutional Pressure, and Proenvironmental Behavior among Sea Food Enterprises: Mediating Effect Based on Paradoxical Cognition
Authors: Qin Man , Guo Yanyan , Wang Kexiang
Published: September 2022

The proenvironmental behavior of Sea Foods Enterprises is the microfoundation for the transformation and upgrading of the traditional marine aquatic industry. Integrating institutional theory and strategic cognitive theory, we use 221 marine aquaculture companies as research samples to explore the driving effect of strategic flexibility (resource flexibility and coordination flexibility) and institutional pressure (regulatory pressure and normative pressure) on proenvironmental behavior, and the mediating role of paradoxical cognition. The conclusion is as follows: (1) strategic flexibility and institutional pressure jointly drive Sea Food Enterprises to adopt proenvironmental behaviors, of which regulatory pressure has the most significant impact. (2) Paradox cognition plays a partial mediating role in the interaction between resource flexibility, coordination flexibility, regulatory pressure, and proenvironmental behavior. There is no mediating effect in the interaction between normative pressure and proenvironmental behavior.
Innovation Capacity, Industrial Structure, and Regional Development of High Quality: Empirical Research Based on the County Level
Authors: Zhao Chuhao , Yao Hui
Published: September 2022

The key to China's regional high-quality development lies in county-level coordination and promotion. Therefore, based on 2847 county-level administrative units in China, this paper uses empirical analysis methods such as dynamic spatial panel Dobbin model and intermediary effect model to study.Then we test the relationship between the industrial structure of county innovation capacity and regional development of high quality. The results showed that (1) the regional development of high quality at the county level in China was generally distributed in clusters, and the agglomeration had a further trend of strengthening. (2) The innovation ability and industrial structure also had a positive effect on the regional development of high quality at the county level, and the result was significant. (3) Innovation had both direct and indirect effects on regional development of high quality. Industrial structure and regional development of high quality had strong spatial and temporal dependence effects.
Analysis of the Causes and Preventive Strategies of Urogenic Sepsis after Flexible Ureteroscopic Lithotripsy
Authors: Tan Ning , Xu Lili , Wu Jiang
Published: September 2022

Objective. To explore the causes of urogenic sepsis in patients after flexible ureteroscopic lithotripsy and analyze the preventive strategies. Methods. A total of 240 patients who underwent flexible ureteroscopic lithotripsy in our hospital from January 2019 to June 2022 were selected and divided into 2 groups according to whether postoperative ureteral sepsis occurred. 24 cases occurred in the observation group. Logistics multivariate regression analysis was used to analyze the risk factors of urogenic sepsis after flexible ureteroscopic lithotripsy, and the serum albumin (ALB), the peripheral blood neutrophil-to-lymphocyte ratio (NLR), and the level of procalcitonin (PCT) were correlated, and the ROC curve was used to analyze the predictive value of each index for urosepsis. Results. Univariate analysis showed that there were differences in gender, age, diabetes, stone diameter, and urine culture ratio between the two groups (

P
<
0.05

). The results of multivariate regression analysis showed that female, age ≥60 years, stone diameter >2.5 cm, and positive urine culture were the main influencing factors for the occurrence of urogenic sepsis. After operation, the ALB levels in the two groups were lower than those before operation, and the levels of NLR and PCT in the two groups were higher than those before operation; the ALB levels in the observation group were lower than those in the control group, and the NLR and PCT in the observation group were higher than those in the control group (

P
<
0.05

). According to Spearman’s correlation analysis, ALB was negatively correlated with the occurrence of uremia (

P
<
0.05

), r = −0.320, NLR and PCT were positively correlated with the occurrence of uremia (

P
<
0.05

), r = 0.313, respectively, and 0.417; in addition, Pearson’s correlation analysis showed that ALB was negatively correlated with NLR and PCT in the two groups (

P
<
0.05

, r = −0.507, −0.605 in the control group, respectively, and r were −0.452 and −0.412 in the observation group). There was a positive correlation between NLR and PCT (

P
<
0.05

), r = 0.840, and there was no correlation between NLR and PCT in the observation group (

P
>
0.05

). According to the ROC curve analysis, the predictive value AUC of ALB, NLR, PCT and combined use were 0.808, 0.801, 0.901, and 0.925 (

P
<
0.05

). Conclusion. Gender, age, stone diameter, and urine culture results are the main influencing factors for the occurrence of urinary sepsis. Therefore, preventive measures should be strengthened for this group of patients. In addition, the combined use of postoperative ALT, NLR, and PCT level tests can be better.
[Retracted] A Molecular Mechanism Study to Reveal Hirudin’s Downregulation to PI3K/AKT Signaling Pathway through Decreasing PDGFRβ in Renal Fibrosis Treatment
Authors: Li Ying , Zhang Ling , Xiong Weijian , Gao Xuan , Xiong Yanying , Sun Wei
Published: September 2022

Chronic kidney disease (CKD) is identified as a widespread chronic progressive disease jeopardizing public health which characterized by gradually loss of renal function. However, there is no efficient therapy to prevail over this disease. Our study was attempting to reveal hirudin’s regulation to renal fibrosis as well as the molecular mechanism. We built renal fibrosis models on both cell and animal levels, which were subsequently given with hirudin disposal; then, we performed the transwell assay to estimate the cells’ migration and had our detection to relevant proteins with western blot and immunofluorescence. Finally, we commenced both the identification and the determination to the hirudin targeted proteins and its downstream signaling pathways with the methods of network pharmacology. And the results turned out that when it was compared with the model group, the group with hirudin addition came with the suppression in the migration of renal tubular epithelial cells NRK‐52E and with a conspicuous decline in the expressions of fibronectin, N‐cadherin, vimentin, TGF‐β, and snail. After that, we predicted that there were 17 hirudin target points mainly involving in the PI3K‐AKT signaling pathway. Our outcomes of the animal level demonstrated that the conditions of interstitial fibrosis, severe tubular dilatation or atrophy, inflammatory cell infiltration, and massive accumulation of interstitial collagen in the model group were withdrawn after the addition of hirudin. In addition, p‐PDGFRβ, p‐PI3K, and p‐AKT protein expressions were significantly reduced, and the PI3K/AKT pathway was downregulated after hirudin treatment in the model group of NRK‐52E cells and animals. Therefore, we had our conclusion that hirudin is capable of suppressing the PI3K‐AKT signaling pathway as well as the EMT by decreasing PDGFRβ phosphorylation.
[Retracted] Dental 3D Printing Design Based on Neurodegeneration and Virtual Reality Imaging Technology
Authors: Zhu Yanfeng , Lin Fei , Chen Weihui
Published: September 2022

Objective. To model and compare the stress variation and distribution of the implant and its supporting components under two types of loading with the abutment in the axial and coronal lingual augmentation positions by means of the 3D finite element method. Method. 15 all‐ceramic crowns completed by the same technician between the years 2014 and 2015 were randomly selected. A high precision laser scanner was used to scan the specimen models of all‐ceramic crowns and then converted and imported into the promapping software to create 15 solid models each in the axial position of the crown and the lingual augmentation position of the crown. Results. We showed that the abutments were significantly more stressed in the bone cortex than in the bone cancellous under both loads when the abutments were in the long axis position and in the lingual ridge position of the dentition. The distribution of stresses in the bone tissue was mainly concentrated in the cortical bone. The stresses induced by oblique forces were greater than those induced by vertical forces. When comparing the abutment in the long axis position of the dentition with the lingual ridge position of the dentition, the peak stresses obtained from the stress analysis of the abutment in the lingual ridge position were all increased to different degrees under both loads, and the differences were statistically significant (p < 0.05) suggesting that the design of the abutment in the direction of the long axis of the dentition is less stressful than that of the crown in the lingual augmentation position, and the risk of alveolar ridge resorption and screw fracture is less. Conclusion. In this paper, we proposed a dental 3D scanning system, which is less stressful based on a 3D reconstruction algorithm using Fourier transform contouring that achieved a speed dental 3D scanner with Fourier transform contouring by projecting a raster pattern onto a dental impression.
Application of Lightweight Thermal Insulation Building Materials for Green Building Design
Authors: Liu Lifang , Zhai Yuhang
Published: September 2022

In order to focus on the application of green environmental protection lightweight thermal insulation materials, an in-depth study is carried out on the basis of joint architectural design. The application of green environmental protection materials in the construction industry was successfully analyzed through methods such as layout design method, optimization design method, and scientific optimization of material selection. In the process of urbanization development in our country, the number of urban population has increased sharply, and the demand for buildings has also increased. Therefore, it is necessary to rapidly promote green building design while the construction industry is developing rapidly and complete the upgrading and transformation of the building in terms of form design. We pay attention to the needs of buildings in terms of shading and lighting, and improve the conditions of building shading and lighting through green building technology. As a result, on the basis of maintaining the residual heat of the building, the diffuse radiation of the ultraviolet rays of the sun is realized, which effectively improves the utilization efficiency of natural energy and reduces the consumption of internal energy. Architectural design under the concept of green building design not only can it meet the current functional requirements of people for architecture but also imperceptibly promote the stable development of our country’s construction industry. After the research on the application of green environmental protection materials, the integration and application of green building design concepts in architectural design is of great significance not only to meet people's health and ecological needs of buildings but also to promote social stability and sustainable development.
Characteristics of Pyrolysis and Copyrolysis Products Sewage Sludge in Different Temperature Ranges
Authors: Li Yunbing , Li Hongli , Zhang Qihang , Wang Xinyi , Wang Xin , Jin Pen
Published: September 2022

Rapid modernization, population growth, and improvement in people’s quality of life have resulted in an increase in urban sewage sludge as the main solid waste. At present, pyrolysis is the main treatment method for sludge due to carbon-free effects and less air pollution compared with incineration. To enhance the energy utilization value of sludge, copyrolysis of sludge and biomass with varying effects has been reported. Herein, biomass and sludge were pyrolyzed and copyrolyzed using self-designed fixed-bed pyrolysis and condensation collection system. The pre-fixed-bed process parameters were optimized by orthogonal test, and it was found that the carrier gas flow rate (a) > bed thickness (b) > constant temperature time (c). The optimum process combinations were 250 mL/min carrier gas, 10 mm bed thickness, and 10 min constant temperature. Experiments show that the ultimate pyrolysis temperature affects the oil production of fixed-bed pyrolysis by up to 15%. Copyrolyzing Sargassum thunbergii and sludge boost oil output at first and then drops; the maximum value is at 20% sludge. When pine sawdust and sludge were copyrolyzed, oil output climbed marginally and subsequently fell fast; the highest value was at 20% sludge. Peanut shell and sludge copyrolysis yield the most oil at 40% sludge content, and the experimental value is smaller than the linear value at 80% sludge content.
Multiobjective Optimization Model of Quality Education Reform in Research and Learning Activities
Authors: Liu Yonglang , Zhang Jitao , Ding Sanqing
Published: September 2022

In order to solve the problem of quality education reform in research activities, a multiobjective optimization model for the optimal performance distribution of college teachers is proposed. We mainly use the multiobjective optimization method to study the allocation of optimal performance. On the basis of considering individual differences, a multiobjective optimization model is established with the goal of maximizing the total satisfaction of all assessment objects and balancing the satisfaction as much as possible by introducing the score conversion function and the satisfaction function. The results show that the variation trends of the weak Pareto fronts at five different confidence levels are basically the same; that is, different confidence levels have little effect on the results. Conclusion. The use of a multiobjective optimization model can improve the optimal performance distribution of college teachers, so as to effectively promote the reform of quality education in research activities.