bluuebunny/crossref_metadata_2025 huggingface dataset:
Lightweight Real-Time Image Semantic Segmentation Network Based on Multi-Resolution Hybrid Attention Mechanism
Authors: Wang Xizhong , Liu Rui , Dong Jing , Zhang Qiang , Zhou Dongsheng
Published: September 2022

Effective perception of the surrounding environment and the balance between accuracy and processing speed are crucial for the successful application of real-time semantic segmentation algorithm in the fields of autonomous driving, drones, and smart security. In this paper, a lightweight feature reuse network MHANet for real-time semantic segmentation is proposed. The main novelties of our method are improved ResNet and attention-based fusion mechanism. And the effectiveness of our method is verified by a large number of experiments. Without any pre-training process, the performance of real-time segmentation is improved by using deep fusion of segmentation maps with different resolutions. At the same time, our network converges faster than other networks using pre-training when trained from scratch. Compared with existing methods, the results obtained with our method on the Camvid dataset improve in accuracy (mIoU) ranging from 2% to 6% and in efficiency (FPS) ranging from 15% to 18%. The results achieved 71.87% mIoU of accuracy in the Cityscapes test set, processing images at 203 FPS. Experiments show that manual designed MHANet is effective in improving the performance of real-time semantic segmentation without any pre-training.
Study on Water Quality Inversion Model of Dianchi Lake Based on Landsat 8 Data
Authors: Cao Jiaju , Wen Xingping , Luo Dayou , Tan Yinlong
Published: September 2022

Efficient, comprehensive, continuous, and accurate monitoring of organic pollution in lakes can provide a reliable basis for water quality assessment and water pollution prevention This paper takes Dianchi Lake as the research object, aiming at the four important water quality indexes of permanganate index (COD), dissolved oxygen (DO), hydrogen ion (pH), and ammonia nitrogen (NH3-N); based on the correlation analysis of Landsat 8 data and measured water quality data, an inversion model is constructed to obtain the spatial distribution of the four indexes. The results show that the relative errors of permanganate index (COD) in neural network and multiple regression are 9.68% and 17.48%, respectively; 3.81% and 3.36% in dissolved oxygen (DO); 1.25% and 1.58% in hydrogen ion (pH); in ammonia nitrogen (NH3-N), it is 15.39% and 24.97%, respectively. The lowest COD in the study area is 6.2 mg/L and the highest is 9.8 mg/L; in 2018, the DO is 5.81 mg/L at the lowest and 9.05 mg/L at the highest; the lowest pH is 5.9 mg/L, the highest is 8.54 mg/L, and the lowest NH3-N is 0.22 mg/L, the highest is 0.41 mg/L. The inversion results of the overall pollutant concentration in the study area are consistent with the actual situation, with only some slight deviations in some areas. The two inversion models can effectively monitor the water quality and spatial distribution of Dianchi Lake. The remote sensing inversion model of water quality has the value of in-depth research and promotion.
Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems
Authors: Meena Radhey Shyam , Singh Anoop , Urhekar Shilpa , RohitBhakar  , Garg Neeraj Kumar , Israr Mohammad , Kothari D. P. , Chiranjeevi C. , Srinivasan Prasath
Published: September 2022

This study looks into artificial intelligence methods for scaling solar power systems, such as standalone, grid-connected, and hybrid systems, in order to lessen environmental effect. When all essential information is provided, conventional sizing methods may be a feasible alternative. It is impossible to apply typical procedures in instances where data is unavailable. The new suggested artificial intelligence model employing multilayered perceptrons is employed for sizing solar systems, and this model functions on current photovoltaic modules that incorporate hybrid-sizing models; so, they should not be rejected entirely. In this work, the convergence speed of the proposed model for single diode, two diodes, and three diodes are the comparison factors to estimate the performance of the proposed model.
The Role of Bisection Class in Guiding Teenagers’ Core Values from the Perspective of Deep Learning
Authors: Liu Yajun
Published: September 2022

Effective classrooms(EC) encourage students to participate in conversations, investigations, and experiments that help them learn and grow. Even in small groups, students are responsible for much of their learning. Split classrooms are ones where pupils from two or more grade levels are placed in the same classroom. Values taught in the classroom may aid students in distinguishing between right and wrong, influencing their attitudes and behaviours as adults. Some of the problems are students’ lack of cooperation, empathy, and support for one another, insufficient financing for classroom resources and equipment, and students’ unable to keep up with education because teachers are held more responsible than they should be to increase meaningful academic learning and facilitate social and emotional growth. Video editing programs provide a more satisfying sensory experience than just reading from printed information. Deep learning (DL) allows pupils to think critically and successfully collaborate with others in all academic areas. Deep learning is a strategy and attitude to learning using complex mental talents such as the ability to analyze, create, solve issues, and think the state of play to build long-term comprehension. Using this method, EC-DL decent employment is becoming more cognitively demanding, and advanced skills are essential for students to cope with this reality. Due to this programmer, students become interested, autonomous learners, and active citizens in a democratic society. Classrooms were successful because they incorporated exploratory learning through guided inquiry-based activities, which increased students’ curiosity and encouraged them to develop higher-order thinking skills. In-class learning activities must be purposefully designed. According to one study, classes positively influenced student learning and success.
Pansharpening with the Multidirection Tree Ridgelet Dictionary
Authors: Li Hong , Han Gaining , Wu Zongsheng , Song Xiaoxue
Published: September 2022

In this work, we propose a novel pansharpening method based on the multidirection tree ridgelet dictionary. A pansharpened image has a wide-ranging application area, such as object detection, image segmentation, feature extraction, and so on. Remote sensing (RS) imagery contains more abundant information on surface features. In order to represent different object information, we use three main classes of different dictionaries, which can reveal the latent structure of RS image. First, RS imagery is divided into several blocks. Each block is classified as smooth, irregular, or multidirection categories. Different categories are sparsely represented in different dictionaries. Second, the smooth blocks are sparsely represented in the discrete cosine transform (DCT) dictionary. The irregular and the multidirection blocks are sparsely represented in the KSVD and multidirection tree ridgelet (MDTR) dictionary, respectively. Finally, we can obtain the fusion image by reconstructing those blocks. Some experiments are taken on three different datasets acquired by QuickBird, GeoEye, and IKONOS satellites. Experimental results show that the proposed method can reduce spectral distortion and enhance spatial information. Meanwhile, numerical guidelines outperform some related methods.
Optimization Method of Urban Square Public Space from the Perspective of Contextualism
Authors: Zhang Min , Lee Min
Published: September 2022

In the era of rapid development of science and technology, in order to attract the public's attention, many architectural designs unilaterally pursue nonmainstream design, completely ignoring the surrounding environment and historical context. The original spatial features and scales have disappeared, and the root cause is that the spatial shaping is separated from the urban context. Urban design that continues the urban context is not only a method to solve specific urban space problems and contradictions but also an important means to build a beautiful urban space and achieve sustainable development. The urban design of the two banks of the Pinghe River in the east of Foshan is based on the sorting and analysis of the material and spiritual elements of the context of the base. This article will go back to the trend of Western architectural contexts and discuss how to design new buildings while respecting the historical context of the city through rational speculation on the two dimensions of contextualism architectural theory, space and time, combined with architectural cases.
Molecular, Pathological, Clinical, and Therapeutic Aspects of Perihematomal Edema in Different Stages of Intracerebral Hemorrhage
Authors: Jiang Chao , Guo Hengtao , Zhang Zhiying , Wang Yali , Liu Simon , Lai Jonathan , Wang Tom J. , Li Shize , Zhang Jing , Zhu Li , Fu Peiji , Zhang Jiewen , Wang Jian
Published: September 2022

Acute intracerebral hemorrhage (ICH) is a devastating type of stroke worldwide. Neuronal destruction involved in the brain damage process caused by ICH includes a primary injury formed by the mass effect of the hematoma and a secondary injury induced by the degradation products of a blood clot. Additionally, factors in the coagulation cascade and complement activation process also contribute to secondary brain injury by promoting the disruption of the blood-brain barrier and neuronal cell degeneration by enhancing the inflammatory response, oxidative stress, etc. Although treatment options for direct damage are limited, various strategies have been proposed to treat secondary injury post-ICH. Perihematomal edema (PHE) is a potential surrogate marker for secondary injury and may contribute to poor outcomes after ICH. Therefore, it is essential to investigate the underlying pathological mechanism, evolution, and potential therapeutic strategies to treat PHE. Here, we review the pathophysiology and imaging characteristics of PHE at different stages after acute ICH. As illustrated in preclinical and clinical studies, we discussed the merits and limitations of varying PHE quantification protocols, including absolute PHE volume, relative PHE volume, and extension distance calculated with images and other techniques. Importantly, this review summarizes the factors that affect PHE by focusing on traditional variables, the cerebral venous drainage system, and the brain lymphatic drainage system. Finally, to facilitate translational research, we analyze why the relationship between PHE and the functional outcome of ICH is currently controversial. We also emphasize promising therapeutic approaches that modulate multiple targets to alleviate PHE and promote neurologic recovery after acute ICH.
The Effect of lncRNA‐PVT1 on Liver Cancer Rats by Regulating the Expression of MMP9
Authors: Lu Bin , Cheng Min , Wang Tao
Published: September 2022

As a malignant tumor, liver cancer has a high lethality rate. The research on the pathogenesis of liver cancer is the key to the treatment of liver cancer. The latest research claims that lncRNA‐PVT1 as a tumor gene participates in the generation and development of tumors by regulating matrix metalloproteinase MMP9. The purpose of this article is to explore the specific effect and mechanism of lncRNA‐PVT1 on liver cancer rats by regulating the expression of MMP9. In this article, 50 rats are used as experimental subjects, the rats are divided into control group and observation group, and the liver cancer cell line HepG2 is cultured. The transplanted tumor liver cancer model was constructed by transfection of hair, the expression of lncRNA‐PVT1 in the observation group was reduced by knockdown method, the expression levels and changes of lncRNA‐PVT1 and MMP9 in the two groups were detected by PCR fluorescence method, and the difference between lncRNA‐PVT1 and MMP9 was analyzed. The MTT method was used to detect the proliferation, migration, and invasion capabilities of the two groups of liver cancer cells (LCC) and to explore the effect of lncRNA‐PVT1 on rat LCC by regulating the expression of MMP9. The results of the study showed that after knocking down the expression of lncRNA‐PVT1 in the observation group, the expression of MMP9 also decreased. At the same time, the migration rate of LCC HepG2 decreased by 27.4%, the level of invasion ability decreased by 21.6%, and the proliferation rate of LCC decreased by 17.8%. Therefore, it can be seen that lncRNA‐PVT1 plays a positive regulatory role on the expression of MMP9, and the expression of MMP9 promotes the proliferation, migration, and invasion of rat LCC.
A New Type of Air Conditioning System Based on Finned Ceiling Radiant Coupled with Independent Fresh Air and Its Thermal Comfort Experimental Study
Authors: Qin Wenqi , Hu Yingning , Su Jinwen , Hu Yubang
Published: September 2022

The traditional radiation air conditioning system has some problems, such as easy condensation, insufficient refrigeration capacity, complex structure, and control system. Therefore, this study proposes a new type of finned metal radiant plate with large heat flow per unit area, sufficient cooling capacity, and simplified heat exchange system, in order to realize large temperature difference between cooling and heating. The temperature field uniformity and thermal comfort test of a novel type of finned ceiling radiant panel and independent fresh air linked air conditioning system under summer cooling and winter heating circumstances are accomplished through artificially generated climate environments. The study’s findings demonstrate that in the radiation and fresh air modes, the maximum interior temperature differential under cooling conditions does not rise over 2.1°C. The maximum temperature differential in the space at any one moment in the radiation and fresh air modes cannot be greater than 3°C when heating conditions are present. The fresh air’s cooling and dehumidifying effects are clear. The dehumidification efficiency may reach 50%, and the moisture content ranges from 5.48 to 9.63 g/kg. With PMV ranging from −0.34 to 0.54, the enhanced air conditioning system in this research provides exceptionally good thermal comfort. Additionally, the finned radiant panel’s installation area occupies just 14% of the ceiling, which is sufficient to fulfill the room’s cooling and heating load needs as well as provide high thermal comfort and consistent indoor temperature. The theoretical investigation and practical implementation of the direct expansion radiant air conditioning system are both strongly supported by this research.
Macrophages with Different Polarization Phenotypes Influence Cementoblast Mineralization through Exosomes
Authors: Zhao Yi , Huang Yiping , Liu Hao , Tan Kuang , Wang Ruoxi , Jia Lingfei , Li Weiran
Published: September 2022

Root resorption is a common dental challenge that can lead to tooth loosening or even tooth loss. Among the cells involved in root resorption, cementoblasts are responsible for laying down the cementum, while macrophages with different phenotypes have also been shown to have bidirectional effects on root resorption. However, the relationship between macrophages and cementoblasts remains largely unknown. In this study, we examined the effect of macrophages with different polarization phenotypes on the mineralization of cementoblasts. Using the transwell coculture system and a conditioned medium-based coculture system, we found that compared with M0 (unpolarized macrophages), M1-polarized macrophages attenuated cementoblast mineralization, while M2-polarized macrophages enhanced cementoblast mineralization. Furthermore, by extracting M0/M1/M2 macrophage exosomes and examining their effects on the mineralization of cementoblasts, we found that the effects of macrophages on cementoblast mineralization were, at least partially, exerted by exosomes. Moreover, in vivo studies also indicated that an increased M1/M2 ratio could suppress cementoblast mineralization and bring about root resorption. During mechanical force-induced orthodontic tooth movement (OTM), root resorption was evident on the compression side of periodontal tissue, and a higher M1/M2 ratio and weaker cementoblast mineralization were observed on the compression side than on the tension side. We also used localized lipopolysaccharide (LPS) injection to increase the M1/M2 ratio around the roots of maxillary molars, where root resorption and decreased cementoblast mineralization were also observed. Furthermore, when we injected the exosomes from M0 and M1- and M2-polarized macrophages into mice, it was observed that the cementoblast mineralization was attenuated in the group injected with M1-polarized macrophage exosomes, while it was augmented in the group injected with M2-polarized macrophage exosomes.
Construction and Validation of Pyroptosis-Related lncRNA Prediction Model for Colon Adenocarcinoma and Immune Infiltration Analysis
Authors: Liu Qingsong , Chen Nianzhi , Liu Lu , Zheng Qiao , Liao Wenhao , Zhao Maoyuan , Zeng Jinhao , Tang Jianyuan
Published: September 2022

Objective. Colon adenocarcinoma (COAD) is one of the most prevalent cancers worldwide. However, the pyroptosis-related lncRNAs of COAD have not been deeply examined and validated. Here, we constructed and validated a risk model on pyroptosis-related lncRNAs in COAD. Methods. The RNA sequencing transcriptome and clinical data of COAD patients were downloaded from The Cancer Genome Atlas (TCGA) database. Differentially expressed pyroptosis-related mRNAs and mRNA-lncRNA coexpression network were identified. After univariate and multifactorial cox analyses of prognosis-related lncRNAs, a risk model was constructed. Next, we analyzed the differences in immune infiltration, immune checkpoint blockade-, immune checkpoint-, and N6-methyladenosine-related gene expressions between the high- and low-risk groups. RT-qPCR was used to validate the expression of lncRNAs. Result. A risk model was constructed based on 9 pyroptosis-related lncRNAs and separated COAD patients into the high- and low-risk groups. Immune infiltration analysis and immune checkpoint blockade-, immune checkpoint-, and N6-methyladenosine-related genes showed significant differences between the two subgroups. RT-qPCR showed that the 9 pyroptosis-related lncRNAs could be used as prognostic indicators. Conclusion. A novel risk model based on pyroptosis-related lncRNAs was constructed and demonstrated that these lncRNAs might be used as independent prognostic biomarkers. This will also assist shed light on the COAD prognosis and therapy.
Efficacy and Tolerability of Hybrid Complexes of High- and Low-Molecular-Weight Hyaluronan Intradermal Injections for the Treatment of Skin Roughness and Laxity of the Neck
Authors: Sparavigna Adele , Bombelli Laura , Giori Andrea Maria , Bellia Gilberto
Published: September 2022

This study aimed to evaluate the efficacy of a well-characterized formulation of hyaluronic acid (HA), Profhilo®, in the treatment of roughness and laxity of the neck skin. The study was performed on 25 subjects ranging in age from 40 to 65 years. Two injections of the studied product at 30-day intervals were performed, with evaluations conducted 1 and 4 months after the first injection. The efficacy was determined by clinical and multilevel instrumental evaluations. In addition, at the end of the study, the subjects completed a questionnaire related to the efficacy and tolerability of the product. The studied product was shown to induce a clear and statistically significant improvement in the skin of the neck in all the subjects, with concordant results between the clinical, instrumental, and subjects’ evaluations. The positive effects, present after the first injection, were further increased in the second and last evaluation. Notably, the product was reported to have a very high tolerability by both clinicians and subjects. In conclusion, two injections of the studied product safely induced skin amelioration in subjects with mild to moderate neck skin roughness and laxity.
Practical Exploration of English Translation Activity Courses in Colleges and Universities under the Background of Artificial Intelligence
Authors: Cheng Meng
Published: September 2022

College English teaching includes five aspects, which are cultivating students’ English listening ability, speaking ability, reading ability, reading ability, and reading ability. These five aspects complement each other and are indispensable. Cultivating students’ English reading ability can enhance students’ cross-cultural awareness and English application ability. Among these five English abilities, only English translation can cultivate students’ Chinese ability and English ability at the same time. The college stage is an important turning stage on the way of students’ learning and growth. During this period, the main teaching goal of teachers is not to help students take exams, but more importantly, students could adapt to the society. Under the background of artificial intelligence, teachers need to find new and effective teaching concepts to improve the practical effect of translation teaching, which has attracted the attention and attention of college teachers in recent years. Correct use of artificial intelligence in college English translation education can greatly stimulate students’ enthusiasm for learning, help students to think innovatively, and encourage students to actively participate in English translation learning.
Clinical Controversy Surrounding the Differential Diagnosis of Branchiogenic Carcinoma
Authors: Karatzanis Alexander , Mylopotamitaki Kleanthi , Lagoudaki Eleni , Prokopakis Emmanuel , Agelaki Sofia
Published: September 2022

Clinical evaluation, differential diagnosis, and management of a neck mass constitute commonly encountered problems for the head and neck surgeon. An asymptomatic neck mass in adults may be the only clinical sign of head and neck cancer. A 50-year-old female patient presented with a painless, slowly enlarging, left lateral neck lump. Ultrasonography described a possible lymph node with cystic degeneration, and fine needle aspiration biopsy only detected atypical cells of squamous epithelium. An open biopsy under general anesthesia was performed. Histopathological findings suggested the diagnosis of lymph node infiltration by squamous cell carcinoma of an unknown primary site, but differential diagnosis also included branchiogenic carcinoma arising in a branchial cleft cyst. A diagnostic algorithm for metastatic squamous cell carcinoma of an unknown primary site was followed, including positron emission tomography with computed tomography. The patient underwent panendoscopy and bilateral tonsillectomy, and an ipsilateral p16 positive tonsillar squamous cell carcinoma was detected. Further appropriate management followed. The existence of true branchiogenic carcinoma is controversial. When such a diagnosis is contemplated, every effort should be made to detect a possible primary site. Branchiogenic carcinoma, if exists at all, remains a diagnosis of exclusion.
Path Tracking Method Based on Model Predictive Control and Genetic Algorithm for Autonomous Vehicle
Authors: Wang Meng , Chen Juexuan , Yang Hanwen , Wu Xin , Ye Longjiao
Published: September 2022

Model predictive control (MPC) is often used for controlling the autonomous vehicle tracking the target path. But to apply MPC schemes, the nonlinear model of vehicle kinematics needs to be approximately converted to a linear format, and the path tracking problem has to be converted into certain formats in order to implement the solver of convex quadratic programming. To solve these issues, a control strategy combining MPC and genetic algorithm (GA) is put forward. The nonlinear predictive model is adopted to predict the future movement of a controlled vehicle. The objective function is established according to the future movement and target path. Instead of using a convex quadratic programming solver, GA is applied to solve the optimization problem. The proposed MPC-GA method can handle the arbitrary nonlinear problem and make the objective function more comprehensible and flexible. This method is applied in solving the path tracking problem of an autonomous vehicle. Both simulations and on-field tests are conducted. The results validate the efficiency of the proposed MPC-GA path tracking method in comparison with traditional methods. With the MPC-GA controller, the automatic driving on the park road is basically realized. The control strategy can be considered as an alternative method to solve the path tracking problem for an autonomous vehicle.
Skin Commensal Bacteria Modulates the Immune Balance of Mice to Alleviate Atopic Dermatitis-Induced Damage
Authors: Yu Xianshui , Chen Ting , Huang Ning , Jin Yanxia , Yang Ling
Published: September 2022

Objective. Although studies indicate that Staphylococcus epidermidis (S. epidermidis) can regulate inflammation and anti-inflammatory cytokines, there is limited evidence supporting their effects on atopic dermatitis (AD). Here, we aimed to investigate the effects and potential mechanism of skin commensal bacteria on the immunity of mice with AD. Methods. Twenty-four female BALB/C mice were selected and divided randomly into 4 groups: normal group, atopic dermatitis model group (AD), atopic dermatitis/substrate group (AD/substrates), and atopic dermatitis/substrates/epidermidis group (AD/S. epidermidis). All the mice were given different ways. After 14 days, their skin conditions were scored, and the serum, ear tissue, and inguinal lymph node tissue were collected and analyzed. Furthermore, the flow cytometry was used to analyze the number of CD4°+°CD25°+°Foxp3°+°Treg in the mouse lymph node tissue. Results. Compared with the AD/substrate group, the mice ear thickness and dermatitis score were significantly reduced in the AD/S. epidermidis group; skin epidermis, acanthosis, the degree of keratinization, inflammatory cell infiltration in the dermis, and the number of mast cells were declined. The serum levels of IgE, IgG1, IgG2a, and TNF-α, IFN-γ, IL-4, and Eotaxin were significantly declined in the AD/S. epidermidis compared with the AD/substrate group. The proportion of CD4°+°CD25°+°Foxp3°+°Treg cells in the lymph node tissue was significantly increased in the AD/S. epidermidis group compared with the AD/substrate group. Conclusion. Staphylococcus epidermidis can regulate mice’s immune balance to alleviate AD-induced skin damage.
Orthotopic Liver Transplantation in a Patient with Acutely Decompensated Liver Disease and Personal History of Malignant Hyperthermia
Authors: Townsend Elizabeth A. , Habibi Manuchehr , Groose Molly , McDowell Thomas
Published: September 2022

Introduction. Orthotopic liver transplants are characterized by sudden changes in hemodynamics, intraoperative hemorrhage, metabolic and electrolyte derangements, and arrhythmias. Many of these features are also hallmarks of malignant hyperthermia episodes and make differentiation difficult intraoperatively. Additionally, the treatment for malignant hyperthermia, dantrolene, can cause hepatotoxicity in already damaged native livers and newly reperfused organ allografts. Thus, it is imperative to avoid a triggering anesthetic in these patients. Here we report on a successful total intravenous anesthetic in a malignant hyperthermia susceptible individual undergoing an orthotopic liver transplant for acutely decompensated end-stage liver disease. Case Presentation. A 49-year-old male with a past medical history significant for malignant hyperthermia episodes as a child was admitted with decompensated alcoholic cirrhosis. He underwent uneventful total intravenous general anesthesia with propofol and sufentanil continuous infusions for an orthotopic liver transplant. He required minimal vasoactive agents to maintain a mean arterial blood pressure >65 mmHg and was extubated on postoperative day 1. Conclusions. Total intravenous anesthesia is necessary for patients with a personal history of malignant hyperthermia. However, this type of general anesthesia is difficult in the setting of fluctuating hemodynamics, hemorrhage, and changes in drug metabolism and clearance during the anhepatic and reperfusion phases of an orthotopic liver transplant. Propofol and sufentanil continuous infusions provided stable hemodynamics and an excellent plane of anesthesia throughout the case and should be considered in other individuals undergoing this procedure who require a total intravenous anesthetic.
A Multidimensional Game Theory–Based Group Decision Model for Predictive Analytics
Authors: Mousavi Karimi Mirhossein , Rahimi Shahram , Nagahisarchoghaei Mohammad , Luo Chaomin
Published: September 2022

An N-dimensional game theory–based model for multi-actor predictive analytics is presented in this article. The proposed model expands our previous work on two-dimensional group decision model for predictive analytics. The one-dimensional models are used for the problems where actors are interacting in a single issue space only. This is less than an ideal assumption since; in most cases, players’ strategies may depend on the dynamics of multiple issues when dealing with other players. In this work, the one-dimensional model is expanded to N-dimensional model by considering different positions, and separate salience values, across different axes for the players. The model predicts an outcome for a given problem by taking into account stakeholder’s positions in different dimensions and their conflicting perspectives. To illustrate the capability of the proposed model, three case studies have been presented.
Does Hyponatremia Affect the Short-Term Outcomes of Colorectal Cancer Surgery: A Propensity Score Matching Analysis
Authors: Liu Xiao-Yu , Zhang Bin , Kang Bing , Yuan Chao , Li Zi-Wei , Zhang Hua , Wei Zheng-Qiang , Peng Dong
Published: September 2022

Purpose. The purpose of the current study is to analyze whether preoperative hyponatremia affected the short-term outcomes of colorectal cancer (CRC) surgery. Methods. This retrospective study was conducted in a single clinical center where we enrolled patients who underwent primary CRC surgery from January 2011 to December 2021. The short-term outcomes were compared between the hyponatremia group and the normal sodium group using propensity score matching (PSM) analysis. Results. A total of 6730 cases of patients who received CRC surgery were finally included in this study. There were 184 patients in the hyponatremia group and 6546 patients in the normal sodium group. After 1 : 1 ratio PSM, 184 patients in the normal sodium group were matched to 184 patients in the hyponatremia group. No significant difference was found in baseline information after PSM (

P
>
0.05

). After PSM, the hyponatremia group had higher patients with overall complications (

P
=
0.013

). Univariate and multivariate logistic regression analysis were conducted to find predictors of complications, and we found that older age (

P
=
0.032

,

OR
=
1.023

,

95
%
CI
=
1.002
−
1.044

), open surgery (P =0.001,

OR
=
2.300

,

95
%
CI
=
1.420
−
3.727

), blood loss (

P
=
0.015

,

OR
=
1.002

,

95
%
CI
=
1.000
−
1.003

), and hyponatremia (

P
=
0.012

,

OR
=
1.856

,

95
%
CI
=
1.148
−
3.001

) were independent predictors of patients with overall complications. Conclusion. Hyponatremia was an independent predictor of patients with overall complications after CRC surgery, therefore, the adequate preparation of the patients for surgery remained fundamental.
Trust-Based Smart Contract for Automated Agent to Agent Communication
Authors: Mhamdi Halima , Soufiene Ben Othman , Zouinkhi Ahmed , Ali Obaid , Sakli Hedi
Published: September 2022

Blockchain technology is now regarded as one of the most interesting and possibly innovative technologies. It enables information to be stored and exchanged securely and transparently without the need for a centralized authority to regulate it. Some of the primary benefits of this technology are the atomicity of the stored data. Given its features, this technology has the potential to provide answers to challenges encountered in a very sensitive sector, namely, Internet of Vehicles (IoV). In IoV, vehicles and service providers autonomously capture and produce data without human intervention. This exchanged data must meet certain criteria such as decentralization, automation, security, and stakeholder trust management. To overcome these challenges, the integration of blockchain technology and multi-agent systems is a key solution. Based on smart contracts, the proposed solution consists of exploiting role-based access control (RBAC) and attribute-based access control (ABAC) techniques. This solution removes the central authority (CA) to reduce maintenance costs and eliminate legacy threats from centralized systems. The results, obtained from consumption costs, show that the developed platform is characterized by security, availability, and privacy.
Effect of Pretreatments and Solar Tunnel Dryer Zone on Drying Characteristics and Stability of Pumpkin (Cucurbita maxima) Slices
Authors: Mohammed Hayat Hassen , Tola Yetenayet B. , Taye Addisalem Hailu , Abdisa Zeneba Kedir
Published: September 2022

Drying fruits and vegetables can be achieved using different drying methods based on the crop’s economic value and the technology’s affordability. However, in Sub-Saharan Africa, where sunlight intensity and duration are high, it is recommended to use solar drying methods. A solar tunnel dryer is one of the methods commonly used to produce dried fruits and vegetables. It is necessary to determine the drying kinetics at different dryer zones and select a suitable drying kinetics model to overcome the limitation. In addition, pretreatment methods are commonly recommended to improve the quality of the dried product. This work aimed to determine the drying kinetics of pumpkin slices at different zones of drier and pretreatment effect on product quality. Three zones of drier and four pretreatments were employed in the two-factor factorial experiment. Seven thin layer kinetic models were evaluated. pH, TSS, TA, moisture content (MC), and water activity (

a

w

) were determined for quality evaluation. Recorded data showed that the temperature in the tunnel increased from zone I to III with a decrease in RH. Results showed a higher drying constant (

K

) and effective diffusivity (

D

eff

); drier zone III > II > I. Pretreatments also showed a significant effect on

K

and

D

eff

. Regardless of pretreatment types, two-term exponential and diffusion models are better fitted for zones I and II/III, respectively. With pretreatments and drier zones, the TSS value increases from zones I to III but with a decrease in titratable acidity, moisture content, and water activity. From the result, it can be concluded that different drying rates are observed in different zones. However, a better quality of pumpkin powder was observed in drier zone II for pumpkin slices pretreated with a 2% salt solution. It is recommended to create a drying medium that resembles zone II or better to use the recommended kinetic models to predict the drying time for each zone for a better quality product by avoiding under- or over-drying of slices.
Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19
Authors: Song Xinyue , Luan Fengkai
Published: September 2022

This work aims to solve the problem that the daily necessities of urban residents cannot be delivered during coronavirus disease 2019 (COVID-19), thereby reducing the possibility of the delivery personnel contracting COVID-19 due to the need to transport medicines to the hospital during the epidemic. Firstly, this work studies the application and communication optimization technology of unmanned delivery cars based on deep learning (DL) under COVID-19. Secondly, a route planning method for unmanned delivery cars based on the DL method is proposed under the influence of factors such as maximum flight time, load, and road conditions. This work analyzes and introduces unmanned delivery cars from four aspects combined with the actual operation of unmanned delivery cars and related literature: the characteristics, delivery mode, economy, and limitations of unmanned delivery cars. The unmanned delivery car is in the promotion stage. A basic AVRPTW model is established that minimizes the total delivery cost without considering the charging behavior under the restriction of some routes, delivery time, load, and other factors. The path optimization problem of unmanned delivery cars in various situations is considered. A multiobjective optimization model of the unmanned delivery car in the charging/swap mode is established with the goal of minimizing the total delivery cost and maximizing customer satisfaction under the premise of meeting the car driving requirements. An improved genetic algorithm is designed to solve the established model. Finally, the model is tested, and its results are analyzed. The effectiveness of this route planning method is proved through case analysis. Customer satisfaction, delivery time, cost input, and other aspects have been greatly improved through the improvement and optimization of the unmanned delivery car line, which has been well applied in practice. In addition, unmanned delivery cars are affected by many factors such as load, and the service time required for delivery is longer. Therefore, this work chooses an unmanned distribution car with strong endurance to improve distribution efficiency. The new hospital contactless distribution mode discussed here will play an important role in promoting future development.
[Retracted] Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning‐Supervised Technique Approach
Authors: Khan Muhammad Anees , Ahmad Sadique , El-Affendi Mohammed A. , Zaka Rija , Mahmood Saima , Jehangir Muhammad
Published: September 2022

Researchers in the past discussed the psychological issue like stress, anxiety, depression, phobias on various forms, and cognitive issues (e.g., positive thinking) together with personality traits on traditional research methodologies. These psychological issues vary from one human to other human based on different personality traits. In this paper, we discussed both psychological issues together with personality traits for predicting the best human capital that is mentally healthy and strong. In this research, we replace the traditional methods of research used in the past for judging the mental health of the society, with the latest artificial intelligence techniques to predict these components for attaining the best human capital. In the past, researchers have point out major flaws in predicting psychological issue and addressing a right solution to the human resource working in organizations of the world. In order to give solution to these issues, we used five different psychological issues pertinent to human beings for accurate prediction of human resource personality that effect the overall performance of the employee. In this regard, a sample of 500 data has been collected to train and test on computer through python for selecting the best model that will outperform all the other models. We used supervised AI techniques like support vector machine linear, support vector machine radial basis function, decision tree model, logistic regression, and neural networks. Results proved that psychological issue data from employee of different organizations are better means for predicting the overall performance based on personality traits than using either of them alone. Overall, the novel traditional techniques predicted that sustainable organization is always subject to the control of psychological illness and polishing the personality traits of their human capital.
Intelligent Vehicle Visual Navigation Algorithm Based on Visual Saliency Improvement
Authors: Chen Ao-Tian , Chen Tian-Ao
Published: September 2022

The automobile has gradually developed into an indispensable tool for human daily travel and transportation. Further reducing the traffic accident rate to improve the traffic safety level and improving the road traffic safety performance is a global issue worthy of common concern for human beings, moreover, it is a common concern for political circles, scholars, researchers, and other related workers in the field of transportation all over the world. Therefore, in this paper, by studying a large amount of literature and carrying out relevant model construction, based on the theories of visual navigation basic theory, intelligent vehicle theory and visual saliency improvement theory, etc., the intelligent vehicle visual navigation with visual saliency improvement is studied in depth through the feature point tracking algorithm research method (including three feature point methods and one optical flow method), and it is concluded that the intelligent vehicle with visual saliency improvement is better than the ordinary. The conclusion that the overall performance of the vehicle is better in all aspects. The following discussions are also proposed for the algorithm improvement: acquisition of visual saliency images; continuous enhancement of visual saliency of images; reasonable application of filtering algorithm.
Air-CSL: Chinese Sign Language Recognition Based on the Commercial WiFi Devices
Authors: Chen Honghong , Feng Danyang , Hao Zhanjun , Dang Xiaochao , Niu Juan , Qiao Zhiqiang
Published: September 2022

Artificial intelligence and Internet of Things (IoT) devices are experiencing explosive growth. Currently, the commonly used gesture recognition methods are difficult to deploy and expensive, so this paper uses the Channel State Information (CSI) for Chinese sign language recognition. Aiming at the problems of current gesture recognition methods, such as strong personnel dependence, high computational resource consumption, and low robustness, we proposed a Chinese sign language gesture recognition method named Air-CSL. In this method, the Local Outlier Factor (LOF) removal algorithm and the Discrete Wavelet Transform (DWT) are used to reduce the noise in the data, and the subcarriers that best represent the gesture data are selected by principal component analysis. After denoising, mathematical statistics were extracted from the gesture waveform as the eigenvalues, and the features were fused by the Deep Restricted Boltzmann Machine (DBM). Finally, the result of gesture classification and recognition is obtained by the Gated Recurrent Unit (GRU). In this way, the prediction model realizes as well as the classification of sign language gestures. The results show that the proposed method can effectively recognize Chinese sign language gestures of different people in different environments and has good robustness.
Mitochondrial‐Endoplasmic Reticulum Communication‐Mediated Oxidative Stress and Autophagy
Authors: Liu Xiaoqing , Hussain Riaz , Mehmood Khalid , Tang Zhaoxin , Zhang Hui , Li Ying
Published: September 2022

Oxidative stress is an imbalance between free radicals and the antioxidant system causing overgeneration of free radicals (oxygen‐containing molecules) ultimately leading to oxidative damage in terms of lipid peroxidation, protein denaturation, and DNA mutation. Oxidative stress can activate autophagy to alleviate oxidative damage and maintain normal physiological activities of cells by degrading damaged organelles or local cytoplasm. When oxidative stress is not eliminated by autophagy, it activates the apoptosis cascade. This review provides a brief summary of mitochondrial‐endoplasmic reticulum communication‐mediated oxidative stress and autophagy. Mitochondria and endoplasmic reticulum being important organelles in cells are directly or indirectly connected to each other through mitochondria‐associated endoplasmic reticulum membranes and jointly regulate oxidative stress and autophagy. The reactive oxygen species (ROS) produced by the mitochondrial respiratory chain are the main inducers of oxidative stress. Damaged mitochondria can be effectively cleared by the process of mitophagy mediated by PINK1/parkin pathway, Nix/BNIP3 pathways, and FUNDC1 pathway, avoiding excessive ROS production. However, the mechanism of mitochondrial‐endoplasmic reticulum communication in the regulation of oxidative stress and autophagy is rarely known. For this reason, this review explores the mutual connection of mitochondria and endoplasmic reticulum in mediating oxidative stress and autophagy through ROS and Ca2+ and aims to provide part of the theoretical basis for alleviating oxidative stress through autophagy mediated by mitochondrial‐endoplasmic reticulum communication.
Prospective Evaluation of Complications and Associated Risk Factors in Breast Cancer Surgery
Authors: Adwall Linda , Hultin Hella , Mani Maria , Norlén Olov
Published: September 2022

Background. Surgical site infection (SSI) is a well-known complication after breast cancer surgery. The primary aim was to assess risk factors for SSI. Risk factors for other wound complications were also studied. Materials and Methods. In this prospectively registered cohort study, patients who underwent breast-conserving surgery (BCS) or mastectomy between May 2017 and May 2019 were included. Data included patient and treatment characteristics, infection, and wound complication rates. Risk factors for SSI and wound complications were analyzed with simple and multiple logistic regression. Results. The study cohort consisted of 592 patients who underwent 707 procedures. There were 66 (9.3%) SSI and 95 (13.4%) wound complications. “

BMI
>
25

,” “oncoplastic BCS,” “reoperation within 24 hour,” and “prolonged operative time” were risk factors for SSI with simple analysis. BMI 25-30 and >30 remained as significant risk factors for SSI with adjusted analysis. Risk factors for “any wound complication” with adjusted analysis were “mastectomy with/without reconstruction” in addition to “BMI 25-30” and “

BMI
>
30

.” Conclusion. The only significant risk factor for SSI on multivariable analysis were BMI 25-30 and

BMI
>
30

. Significant risk factors for “any wound complication” on multivariable analysis were “mastectomy with/without reconstruction” as well as “BMI 25-30” and “

BMI
>
30

.”
Visual Simulation for Numerical Solution of Fourth-Order Partial Differential Equations Based on the Improved Neural Network Algorithm
Authors: Zhang Jing , Fan Yongyan , Li Zhixiao
Published: September 2022

The topic of this paper is to study the numerical solution of the fourth-order partial differential equation and analyze its visual application in software simulation. Therefore, for the initial circular domain, the expansion should be transformed into a fourth-order problem in the plane dimension. Then, we introduced appropriate-weighted Sobolev space based on the improved neural network algorithm and established a weak form and the corresponding discrete form for each one-dimensional fourth-order problem. The approximation properties of the cubic Hermite interpolation operator are used to verify the error value of the approximation solution. After obtaining the relevant algorithms, numerical empirical analysis is carried out to prove that the proposed algorithm is effective. Therefore, this article applies it to the visualization simulation technology, and the visualization module mainly completes two tasks: collecting geometric data and drawing models. At present, the application of the visualization module in the program mainly has two aspects: on the one hand, the boundary information of geometry can be obtained by screening the existing database so that the boundary model can be displayed in the visualization; on the other hand, from the calculation result file. Read the geometric information of particles and boundaries and perform dynamic simulation playback of the calculated results.