bluuebunny/crossref_metadata_2025 huggingface dataset:
Empirical Review of Tuta absoluta Meyrick Effect on the Tomato Production and Their Protection Attempts
Authors: Aynalem Birhan
Published: October 2022

The tomato is one of the most nutritious, economically important, and delicate vegetables grown in the world. It is highly susceptible to insect pests and microbial pathogens. The tomato leafminer moth, Tuta absoluta Meyrick, is the current impediment to tomato production in the world. The insect showed invasive and notorious behavior and was affecting tomato production. To control this insect, the application of synthetic insecticides is seen as the primary solution. However, during the feeding stage, larvae hide within mined leaf mesophyll and bored fruits from chemical spray, besides fast developing resistance to several insecticides. Such characteristics of the insect reduced the effectiveness of the chemical control efforts. Currently, the natural, or ecofriendly pest control method is gaining the momentum to minimize the application of synthetic insecticide against this devastating insect. Studies showed that botanical extracts (phytochemicals) and natural enemies such as parasitoids, predators, entomopathogenic nematodes, entomopathogenic fungi, and entomopathogenic bacteria are effective for controlling T. absoluta. As a result, the basic attributes of the above-mentioned natural agents and their potential to control T. absoluta have been briefly discussed in this review. However, due to disease (pests), the expected outcome for the subsectors is still low. Therefore, the pinpointing of major diseases and pests and their control measures would help to significantly improve the crop production technology used by smallholder farmers and thereby sustainably improve tomato production in Ethiopia.
Models of Analysis of Credible Deviation from Speed Limits on Two‐Lane Roads of Bosnia and Herzegovina
Authors: Subotić Marko , Stepanović Nemanja , Tubić Vladan , Softić Edis , Bouraima Mouhamed Bayane
Published: October 2022

Any deviation of speed in a traffic flow from a speed limit represents a potential risk of traffic accidents, so speed management appears as an imperative. However, an inadequately set speed limit often causes drivers’ noncompliance to it in the conditions of real traffic flow. By determining the value of exceeding the speed limit according to vehicle classes, it is possible to recommend a credible speeding value that can be considered credible up to a value above the speed limit. In this paper, deterministic multistep mathematical models of speed deviation from the speed limit as a function of longitudinal gradient for the proposed vehicle classes were developed. A total of 11 measuring sections with different traffic flow types were analyzed. Based on a detailed analysis of speeding, models for the deviation of the 15th, 50th, and 85th percentiles were obtained, with the aim of adjusting the credible deviation to control measures. The results obtained in this study were compared with a survey of traffic flow speeding on two‐lane roads conducted in Serbia.
The Critical Success Factors for Sustainability Financial Technology in Vietnam: A Partial Least Squares Approach
Authors: Nguyen Van Phuoc
Published: October 2022

This paper helps in determining the critical success factors (CSFs) for sustainability financial technology business. An attempt is made to study the influence of were found CSFs to be key aspects of a business that must go well to ensure the success of an organization. These CSFs include issues that are vital to a company’s operating activities and its future success. The study collected data from 253 respondents through a structured questionnaire. Partial Least Square Structural Equation Modelling has been adopted to analyze the data through SmartPLSv3. For better understanding, we emphasize that companies within the same industry may exhibit different CSFs due to anomalies in their environmental situation or strategic situations, which might pose as a challenge for this study and the future exploration towards a general set of CSFs for sustainability fintech companies. The research concluded the presented seven CSFs with the following customer centricity, low profit margin, agility, scalability, security management, innovation, and compliance easy. The findings of the paper are beneficial for fintech enterprises and marketers to enhance the awareness and advantages of financial technology according to the needs of consumers and add value to the existing literature on the future sustainable financial technology businesses.
DeepGuard: Backdoor Attack Detection and Identification Schemes in Privacy-Preserving Deep Neural Networks
Authors: Chen Congcong , Wei Lifei , Zhang Lei , Peng Ya , Ning Jianting
Published: October 2022

Deep neural networks (DNNs) have profoundly changed our lifeways in recent years. The cost of training a complicated DNN model is always overwhelming for most users with limited computation and storage resources. Consequently, an increasing number of people are considering to resort to a cloud for an outsourced DNN model training. However, the DNN models training process outsourced to the cloud faces privacy and security issues due to the semi-honest and malicious cloud environments. To preserve the privacy of the data and the parameters in DNN models during the outsourced training and to detect whether the models are injected with backdoors, this paper presents DeepGuard, a framework of privacy-preserving backdoor detection and identification in an outsourced cloud environment for multi-participant computation. In particular, we design a privacy-preserving reverse engineering algorithm for recovering the triggers and detecting the backdoor attacks among three cooperative but non-collusion servers. Moreover, we propose a backdoor identification algorithm adapting to single-label and multi-label attack detection. Finally, extensive experiments on the prevailing datasets such as MNIST, SVHN, and GTSRB confirm the effectiveness and efficiency of backdoor detection and identification in a privacy-preserving DNN model.
Irisin Promotes Osteogenesis by Modulating Oxidative Stress and Mitophagy through SIRT3 Signaling under Diabetic Conditions
Authors: Li Guangyue , Jian Zixiang , Wang He , Xu Ling , Zhang Tingwei , Song Jinlin
Published: October 2022

Advanced glycation end products (AGEs) accumulate in the bone tissue of patients with diabetes mellitus, resulting in oxidative stress, poor bone healing, or regeneration. Irisin, a novel exercise-induced myokine, is involved in the regulation of bone metabolism. However, the effects of irisin on adipose-derived stem cell (ASC) osteogenic differentiation and bone healing under diabetic conditions remain poorly understood. ASCs were obtained from inguinal fat of Sprague-Dawley rats and treated with different concentrations of AGEs and irisin. Cell proliferation, apoptosis, and osteogenic differentiation abilities of ASCs were detected. To explore the regulatory role of sirtuin 3 (SIRT3), ASCs were transfected with lentivirus-mediated SIRT3 overexpression or knockdown vectors. Next, we investigated mitochondrial functions, mitophagy, and mitochondrial biogenesis in different groups. Moreover, SOD2 acetylation and potential signaling pathways were assessed. Additionally, a diabetic rat model was used to evaluate the effect of irisin on bone healing in calvarial critical-sized defects (CSDs) in vivo. Our results showed that irisin incubation mitigated the inhibitory effects of AGEs on ASCs by increasing cell viability and promoting osteogenesis. Moreover, irisin modulated mitochondrial membrane potential, intracellular ROS levels, mitochondrial O2·− status, ATP generation, complex I and IV activities, mitophagy, and mitochondrial biogenesis via a SIRT3-mediated pathway under AGEs exposure. Furthermore, in calvarial CSDs of diabetic rats, transplantation of gels encapsulating irisin-pretreated ASCs along with irisin largely enhanced bone healing. These findings suggest that irisin attenuates AGE-induced ASC dysfunction through SIRT3-mediated maintenance of oxidative stress homeostasis and regulation of mitophagy and mitochondrial biogenesis. Thus, our studies shed new light on the role of irisin in promoting the ASC osteogenesis and targeting SIRT3 as a novel therapeutic intervention strategy for bone regeneration under diabetic conditions.
The Impact of Environmental Regulation on China’s OFDI: From the Perspective of Home Country
Authors: Li Xiaoyong , Liang Caiyi
Published: October 2022

Since China entered the stage of high-quality development, how to promote economic development and high-level protection of the ecological environment in a coordinated manner and implement the new development concept of “innovation, coordination, green, openness, and sharing” is the country’s problem need to break through. Based on the connotation of the evolutionary logic of environmental regulation, this paper attempts to build a more scientific indicator of China’s environmental regulation and discusses the environmental regulation motivation of China’s OFDI from the home country’s perspective. The results show that the impact of environmental regulation on China’s OFDI presents a significant inverted U-shaped relationship, and there are significant regional differences. The types of environmental regulation have different impacts on OFDI. Porter’s hypothesis exists in the influence path of environmental regulation on OFDI. The research in this paper can help coordinate the development of high-quality economic development, environmental protection, and the new pattern of wide opening up in China.
The Contribution of Hepatic Macrophage Heterogeneity during Liver Regeneration after Partial Hepatectomy in Mice
Authors: Ma Pengfei , Zhao Wenchao , Gao Chunchen , Liang Zhiwei , Zhao Longshuan , Qin Hongyan , Sun Xiaolin
Published: October 2022

Background and Aim. Hepatic macrophage is a heterogenetic population in origin and function. It is known to participate in the coordination of all phases of liver regeneration after partial hepatectomy (PHx). However, as yet, there is no research focused on the dynamics of macrophage subsets of different origins and functions after PHx. Methods. In the present study, we investigated hepatic macrophage heterogeneity in murine liver regeneration after 2/3 PHx through immunofluorescence staining, fluorescence-activated cell sorting analysis, and quantitative reverse transcription-polymerase chain reaction. Results. Our research showed that Kupffer cells reduced rapidly in the early PHx and restored gradually depending on local proliferation and replenishment from infiltrating monocyte-derived macrophages. The ratio of ly6Chi to ly6Clo subset of macrophages in the liver changed dynamically, and hepatic macrophage function exhibits a significant difference in different stages of liver regeneration. Moreover, blocking infiltrating monocyte-derived macrophage recruitment augmented Kupffer cell proliferation but impaired the restoration of the hepatic macrophage pool, which led to delayed hepatocyte mitosis and liver regeneration. Conclusions. Our data suggest that hepatic macrophage changes dynamically in origin and function during liver regeneration following PHx and macrophage-targeted liver regeneration should consider macrophage heterogeneity.
Sex Difference in Cisplatin-Induced Nephrotoxicity: Laboratory and Clinical Findings
Authors: Eshraghi-Jazi Fatemeh , Nematbakhsh Mehdi
Published: October 2022

Cisplatin (CP) as the most important anticancer drug has limited usage due to a lot of side effects such as nephrotoxicity. Additionally, nephrotoxicity is gender/sex-related. There is a variety of experimental studies in association with sex and CP-induced nephrotoxicity. Some studies have reported that female sex is resistant than male sex due to greater antioxidant defense and protective effects of estrogen in females. Other studies have indicated that males are less vulnerable than females due to CP high clearance. Also, various supplementations have revealed conflicting effects in males and females. It is uncovered that sex hormones have determinant roles on the conflicting effects. Some supplements could improve CP-induced nephrotoxicity, but several supplements intensified CP-induced nephrotoxicity, especially in female sex. On the other hand, major clinical studies introduced female gender as a risk factor of CP-induced nephrotoxicity. Although, rare studies evaluated the effect of various supplemental compounds on CP-induced nephrotoxicity in patients underwent CP therapy. Therefore, it requires further investigations to clarify the controversial subject of gender/sex and CP-induced nephrotoxicity in both clinic and laboratory.
Building Interior Layout Design Based on Building Information Model and Deep Learning Technology: Taking the Interior Renewal Design of the Fifth Floor of the Procuratorate of Dong Xi Hu District as an Example
Authors: Pan Haowei , Zheng Gewei , Hutter Ákos , Huang Zhenkai
Published: October 2022

With the development of the Internet era and the information age, electronic information technology has profoundly affected human life and work, and the architectural design industry is no exception. Architectural design has a complex design period, and the arbitrary division of labour reflects the particularity of its working process. At present, the integration of electronic information technology and scientific and technological software into architectural design has dramatically improved the work efficiency of designers. However, due to the enormous workload of drawing and modification of building drawings, and many professional departments involved in cooperation, the error rate of drawing design is still high, which eventually leads to a series of serious problems such as stagnation of the design process and rework of construction. However, due to the enormous workload of drawing and modification of building drawings, and many professional departments involved in cooperation, the error rate of drawing design is still high, which eventually leads to a series of serious problems such as stagnation of the design process and rework of construction. The BIM building information model system is an electronic information platform for comprehensive architectural design majors. It can integrate the design drawings of various majors in the design process, correct the design problems caused by inaccurate pictures at the first time, and reduce the errors in the design process. Through the BIM system and Python programming software, cross-platform cooperation is carried out to carry out computer deep learning and a series of extra design work. This paper puts forward the interior design method of the BIM system and shows the research work of interior design by the BIM building information platform through practical cases. By comparing with traditional design methods, the advantages of this technology in interior design are demonstrated, and a reference for future interior design informatization is provided.
Analysis of Effects of Rough Strip Energy Dissipator on Hydraulic Property of Bend Flow
Authors: Zhang Honghong , Mu Zhenwei , Fan Fan , Li Fanqi
Published: October 2022

Installing rough strip energy dissipators (R-SEDs) at the bottom of curved spillways can facilitate energy dissipation and flow stabilization. In this study, the effects of R-SEDs set at the bottom of a 60° bend in a spillway were examined. This spillway had a large width-to-depth ratio (

B
/
H
>
5

). Based on physical model tests, the distribution of hydraulic properties of the spillway under different runs was studied and analyzed. The results show that the R-SEDs effectively improved the flow pattern in the bend. The R-SEDs reduced the average dimensionless flow velocity by about 37.9% by increasing the roughness at the bottom of the bend. The energy dissipation rate of the R-SED decreased with an increase in discharge flow rate and ranged between 30% and 50%. These indicate that it is feasible to apply the R-SEDs to 60° bends of spillways with a large width-to-depth ratio at low-flow runs (

the
 
tested
 
discharge
 
flow
 
rate
=
15
 
L
/
s

). These results will provide a theoretical basis for the R-SED design of similar curved spillways.
Image Processing Method Based on FGCA and Artificial Neural Network
Authors: Yuan Shuping
Published: October 2022

With the aggravation of human sub-health problems, people’s demand for medical assistance is increasing. In the face of an endless stream of diseases, doctors use medical image analysis to intuitively obtain the morphological information of the affected part of the disease, which is convenient for doctors to make a more accurate assessment of the disease. The processing of medical images is essential for the treatment of people’s diseases and subsequent observation and recovery. Therefore, it is necessary to pay attention to the development and innovation of image processing. With the continuous increase of diseases and the innovation and development of technology, the existing medical image processing technology still has problems such as noise and low image contrast. The application of fuzzy genetic clustering algorithms and artificial neural networks can help image processing be more accurate and perfect. In view of the above problems, this paper has carried out data analysis and research on image processing methods based on fuzzy genetic clustering algorithm (FGCA) and artificial neural network (ANN). The research results have shown that in the case of no noise and 5% salt and pepper noise, the FGCA segmentation coefficient is the largest, at 0.9756 and 0.9758, respectively, and the segmentation entropy is the smallest, at 0.0885 and 0.0925, respectively. The liver CT (Computer Tomography) image segmentation method based on DeepLab V3+ has the highest PA, Mlou value, and Dice coefficient, which are 88%, 95%, and 94%, respectively, which has laid the foundation for the innovation and development of image processing methods.
The Efficacy of Lactocare® Synbiotic on the Clinical Symptoms in Patients with Psoriasis: A Randomized, Double‐Blind, Placebo‐Controlled Clinical Trial
Authors: Akbarzadeh Ali , Alirezaei Pedram , Doosti-Irani Amin , Mehrpooya Maryam , Nouri Fatemeh
Published: October 2022

Background. Attention to the administration of probiotics for the treatment of psoriasis has recently increased. Aim. In the present study, improvements in dermatology life quality index (DLQI), psoriasis area severity index (PASI), and visual analogue scale (VAS) scores in the psoriasis patients receiving Lactocare® probiotic were compared to psoriasis patients receiving placebo. Methods. A total of 52 psoriasis patients were included in this study and randomly divided into treatment and placebo (control) groups. The control group received topical hydrocortisone associated with placebo; in the treatment group, Lactocare® was administrated orally associated with hydrocortisone. The mean of VAS, DLQI, and PSAI scores was recorded and evaluated pretreatment and post‐treatment in both groups for 3 months. The mean of the scores in the control groups was compared to the treatment group. Intragroup analysis was preformed with a comparison of the mean of these scores at baseline 4‐, 8‐, and 12‐weeks post‐treatment. Results. In the treatment group, a significant decrease was seen in PASI, VAS, and DLQI scores compared to the control group on week 12 post‐treatment. Conclusion. Oral administration of Lactocare® probiotic (two times daily) associated with administration of topical hydrocortisone resulted in the improvement of PASI, DLQI, and VAS scores in the patients with psoriasis after 12 weeks of treatment. PASI reduction occurred in all patients who received probiotics.
Potentiodynamic Corrosion Behavior and Microstructural Characteristics of Pulsed CMT-Welded AA2014-T6 Aluminium Alloy Joints: Effect of PWHT
Authors: Padma Rao A. , Hadi Manzoor , Rajendran C. , Tushar Sonar , Ivanov Mikhail , Senthil Kumar P. , Murali Krishna V.
Published: October 2022

AA2014-T6 is an Al-Cu-Mg-based precipitation-hardened aluminium alloy widely used in aerospace due to its high strength to weight ratio. This alloy is joined by a pulsed cold metal transfer (PCMT) arc welding process to overcome the high heat input related problems in gas metal arc welding (GMAW) such as a coarser dendritic structure in the fusion zone (FZ), wider heat affected zone (HAZ), solidification and HAZ liquation cracking, softening in HAZ, and poor corrosion resistance of welded joints in salt environment. The joints were subjected to PWHT of artificial aging (AA), solution treatment (ST), and solution treatment + aging (STA) conditions. The corrosion rate was determined using a potentiodynamic corrosion test in a solution of 3.56 wt.% NaCl with pH values of 4, 7, and 11. Results disclosed that the PCMT joints subjected to the potentiodynamic corrosion test in NaCl solution of pH-4, pH-7, and pH-11 disclosed very low, moderate, and extremely high pitting corrosion, respectively. The corrosion resistance of ST joints was improved by 53.34%, 15%, and 15.12% in pH-4, pH-7, and pH-11 NaCl solution compared to as-welded joints. The pitting potential of ST joints is comparable to BM. The BM showed the pitting potential of −175, −450, and −550 mV in pH-4, pH-7, and pH-11 NaCl solution. The ST joints showed 75.29%, 29.16%, and 27.85% lower corrosion potential compared to STA joints in pH-4, pH-7, and pH-11 NaCl solution, respectively. The ST joints disclosed the lower pitting potential of −105, −425, and −505 mV in pH-4, pH-7, and pH-11 NaCl solution, respectively, whereas the STA joints revealed greater pitting potential of −425, −600, and −700 mV in pH-4, pH-7, and pH-11 NaCl solution, respectively. The superior corrosion resistance of ST joints compared to AA and STA joints is attributed to the dissolution of precipitates in Al solid solution resulting in a lower potential difference in FZ. This minimizes the preferential sites for pitting corrosion to occur.
The Health ChatBots in Telemedicine: Intelligent Dialog System for Remote Support
Authors: Vasileiou Maria V. , Maglogiannis Ilias G.
Published: October 2022

The objective of the Health Bot is to analyze and elaborate on the implementation of an intelligent system that can support telemedicine services using natural language processing (NLP) technology. Health Bot is a robust, modularized, and user-friendly platform that aims to improve the patient’s interactions with the health care system. Using NLP and speech recognition algorithms, the platform can analyze and classify free text and voice input data to symptoms. The classified data are used in the machine learning (ML) training process of the artificial intelligence (AI) models in order to predict the probability of the patient suffering from a specific disease and get alerted in case of disorders. The Health Bot is acting as a medical virtual agent in order to collect any information needed in the sense of a medical interview and provide medical assessments, close appointments with the doctors, and monitor/record the patient’s health condition. In this paper, two models have been trained for the Covid-19 and heart disease cases with 98.3% and 82% accuracy, respectively.
Increased Expression of NXPH4 Correlates with Immune Cell Infiltration and Unfavorable Prognosis in Hepatocellular Carcinoma
Authors: Tang Qin , Chen Yue-ming , Shen Mei-mei , Dai Wen , Liang Hang , Liu Jun-nan , Gao Jian
Published: October 2022

Hepatocellular carcinoma (HCC) is one of the leading malignant carcinomas. Despite the advancement in the treatment for HCC, such as precise hepatectomy, radiotherapy, transarterial therapies, chemotherapy, targeted treatments, and immunotherapy, the 5-year overall survival rate of HCC is extremely low. Hence, novel biomarkers are urgently needed for advancing the therapy and prognosis of HCC. Neurexophilin 4 (NXPH4) is a neuropeptide-like glycoprotein. The study is designed to investigate the function of NXPH4 in HCC through a comprehensive bioinformatics analysis. NXPH4 expression status and prognostic values were analyzed via multiple datasets, such as TCGA, GEO, and ICGC. The association between NXPH4 and immune cell infiltration was estimated by TIMER, TISIDB, and CIBERSORT. In vitro, we explored the biological function of NXPH4 in JHH7 and SNU182 cells through knocking down the expression of NXPH4 via siRNA. In general, NXPH4 was predominantly upregulated in HCC tumors, and increased NXPH4 expression predicted unfavorable prognosis. The gene enrichment analysis displayed that NXPH4 was related with metabolic pathways. NXPH4 expression was correlated with immune cell infiltration. NXPH4 knockdown significantly suppressed proliferation, migration, and invasion of JHH7 and SNU182 cells. This study suggested that the upregulation of NXPH4 is associated with adverse prognosis and immune cell infiltration in HCC. NXPH4 could be a novel biomarker of unfavorable prognosis and an underlying target for immunotherapy in HCC.
Feasibility Analysis of Intelligent Piano in Piano Teaching
Authors: Ma Yao
Published: October 2022

With the rapid development of artificial intelligence, big data, blockchain, and other technologies, the impact of intelligent environment on the development of education has become more and more profound. Other developed countries have realized that education reform is urgent in the intelligent environment. So as to seize the major strategic opportunity of artificial intelligence development, my country has optimized the teaching content, teaching methods, and teaching methods of traditional piano teaching on the basis of respecting the traditional piano teaching concept. Upgrade to achieve the innovation of the relationship between teaching and learning in piano education in normal schools, and create a new situation for piano teaching in normal schools. Based on the current situation of piano education for musicology majors in normal schools, this paper takes the intelligent piano as the research object, compares the advantages and disadvantages of the application of smart pianos and traditional pianos in the environment of normal schools, combines the intelligent technology provided by smart pianos, and explores the application of technology to pianos in normal normal schools. The path of teaching reflects the value and use value of intelligent piano in piano teaching in normal schools and explores the value of intelligent piano teaching.
Prognostic Signature GXYLT2 Is Correlated with Immune Infiltration in Bladder Cancer
Authors: Wu Shuo , Qiu Shipei , Chen Wei , Ding Liucheng , Wu Lejun
Published: October 2022

Background. GXYLT2 (glucoside xylosyltransferase 2) was known as an important gene that regulates classical Notch signaling and is involved in progression in human tumors. However, the correlation between GXYLT2 expression and bladder cancer remains unclear. Methods. GXYLT2 expression was analyzed by ONCOMINE database, GEPIA database, and TIMER database. The Cancer Genome Atlas (TCGA) was utilized to confirm relationships between GXYLT2 and molecular subtypes of BLCA (bladder cancer). We discovered prognostic value of GXYLT2 in BLCA using GEPIA, LinkedOmics database, and Kaplan-Meier Plotter database. Subsequently, correlations between GXYLT2 and tumor immune infiltration were investigated through TIMER and TISIDB website. We then downloaded data of patients with BLCA from TCGA website, to conduct functional annotations and to construct protein-protein interaction network through STRING and Enrich web servers. Results. Significant differences were observed between GXYLT2 expression of bladder cancer and normal tissues. GXYLT2 was a poor prognostic biomarker in BLCA with impact on diverse clinical characteristics. We found that GXYLT2 was closely related to tumor immune infiltrated cells and immune genes. Functional annotations indicated that GXYLT2 was linked to immune-related pathways. Conclusions. The results suggested that GXYLT2 was associated with a poor prognosis and tumor immune cell infiltration of BLCA. GXYLT2 could be a promising therapeutic target in bladder cancer.
Periodontal Disease in the Brazilian Population: A Retrospective Analysis on the 2013 National Health Survey to Identifying Risk Profiles
Authors: Antônio Raulino do Nascimento Thiago , Vilton Costa José , Oliveira Guerra Ricardo
Published: October 2022

Periodontal disease (PD) is a global public health problem with prevalence varying according to social and economic contexts; however, few studies have investigated the distribution of PD worldwide. PD is the host response to an infection or progression of a clinical condition, and the identification of modifiable risk factors for adequate clinical management of patients should be a priority in health policies directed to vulnerable population groups. In this context, we investigated the characteristics and risk factors for PD using the Brazilian National Health Survey 2013 (PNS-2013). A cluster analysis using the interdependence technique was applied to explore data on the risk of periodontitis. The presence or absence of a risk factor was analyzed using five variables (ten categories), while ordinal regression assessed risk profiles based on sociodemographic aspects of the Brazilian population. Individuals were classified as low (26.33%), medium (23.34%), or high risk (50.32%) for PD. Age, educational level, ethnicity, and Brazilian regions (except the North region) were significantly associated with risk for PD in the adjusted final regression model. Individual and social contexts were factors related to the high risk of PD in the Brazilian population. Our results highlight the need for public policies on healthy habits to prevent systemic diseases affecting oral health.
Exploring the Impacts of Change Orders on Performance of Construction Projects in Saudi Arabia
Authors: Alzara Majed
Published: October 2022

The construction industry is one of the most complex industries, and it involves numerous change orders. Change orders often occur in all or some phases of industrial construction work and have a significant impact on the success of the project, its on‐time completion, or ultimately, an increase in the estimated cost of the project. Change orders are one of the most frequently common problems facing construction projects in Saudi Arabia. The purpose of this study is to examine the impacts of change orders on construction projects in Saudi Arabia and identify preventive solutions to mitigate these impacts. To achieve this objective, the effects of change orders on construction projects in general were identified through a comprehensive literature review. Then, an analytical study was conducted on five construction projects in diverse universities in Saudi Arabia. Following that, interviews were conducted with some experts in these projects. Finally, a survey was conducted by distributing questionnaires to the parties involved in the projects, and the responses were analyzed by using the relative index method. A triangulation technique involving collecting data from the analytical study, the interviews, and the survey was used to improve the validity of the findings. The results showed that the major impacts of change orders on construction projects in Saudi Arabia were on meeting the needs of the project, disputes among parties of the project, and the development of project specifications. A set of preventive solutions were suggested to mitigate these impacts, such as having all parties study the project and coordinate between them before starting the project and hiring a specialized consultant with experience in similar projects.
The Comparative Effects of Rhus Coriaria and Triamcinolone in Patients with Recurrent Aphthous Stomatitis: A Single‐Blinded Randomized Controlled Clinical Trial
Authors: Lavaee Fatemeh , Ghasemi Marzieh , Amiri Mohammad Amin , Farshidfar Nima
Published: October 2022

Background. Recurrent aphthous stomatitis (RAS) is a common oral lesion with unknown etiology. Several treatment strategies are introduced for the treatment of RAS. In this regard, the therapeutic effects of Rhus coriaria, as one of the potential treatments, have recently caught attention. Since the clinical efficacy of Rhus coriaria has not been examined adequately. This study aims at evaluating the therapeutic effects of Rhus coriaria among patients with RAS. Methods. Twenty‐two patients with RAS were divided into two groups (n = 11). The experimental group received three pills of Rhus coriaria daily for 6 days, while the control group received triamcinolone (oral paste) three times a day for 6 days. The pain and size of the lesion were measured on the 1st, 2nd, 3rd, 4th, 5th, and 6th days. The data were analyzed by SPSS 16. In this regard, Student’s t‐test and Sidak pairwise tests were used for assessment of inter and intragroup comparisons of the pain and the size of the lesion, respectively. Results. Intergroup comparisons indicate that there is no difference between the experimental and the control group (p > 0.05). Whereas, the intragroup analysis of the pain revealed significant changes (p < 0.05) in most of the time points for both groups. Besides, the intragroup analysis of the lesion size, showed significant changes in all the time points in the experimental group (p < 0.05). The results in the control group exhibited the same pattern, except on 1‐5, 1‐6, 2‐6, and 3‐6 intervals in the control group. Conclusions. The application of Rhus coriaria could significantly reduce lesion size and pain in patients with RAS. Accordingly, Rhus coriaria can be an effective medication for RAS treatment.
The Chemotherapeutic Potentials of Compounds Isolated from the Plant, Marine, Fungus, and Microorganism: Their Mechanism of Action and Prospects
Authors: Shakya Ashok K. , Naik Rajashri R.
Published: October 2022

Research on natural products mainly focuses on developing a suitable drug to treat human disease. There has been a sharp increase in the development of drugs from natural products. Most of the drugs that are available are from the terrestrial origin. Marine natural products are less explored. Oceans are considered as a vast ecosystem with a wide variety of living organisms and natural products that are unexplored. Large numbers of antitumor drugs are from natural sources such as plants, marine, and microorganisms. 80% new chemical entities that were launched over the past 60 decades were from a natural source. In this article, the anticancer potential from the natural source such as plants, fungi, microorganisms, marine, and endophytes has been reviewed. Emphasis is given on the compound from the marine, plant, and of bacterial origin. Finally, we consider the future and how we might achieve better sustainability to alleviate human cancer suffering while having fewer side effects, more efficacies, and causing less harm than the present treatments.
Seismic Performance and Finite Element Analysis of Reinforced Concrete Frames Considering a Masonry-Infilled Wall
Authors: Xi Kailin , Liu Boquan
Published: October 2022

This study investigated the seismic performance of a 1/3 scale, three-story, and three-span RC frame subjected to static cyclic lateral loading. The failure process and mode were analyzed using the digital image correlation (DIC) method. Based on the test, finite element (FE) models were developed and verified. Using the proposed FE models, the parametric study was performed to investigate the influence of the opening rate, the position of infill walls, and the block strength on the seismic performance of the frame. Test results indicated that FE simulation results are correspondent to the testing results. The infilled wall increased the horizontal bearing capacity of the structure and the energy dissipation capacity. The opening masonry-infilled wall reduced the energy consumption capacity and the initial stiffness of the structure. Removing the infill walls on the first floor would change the failure mode of the frame. Improving the block strength could improve the bearing capacity of frames but has little effect on the energy dissipation capacity of the frame.
Quantitative Impact Analysis of Financial Support on Regional Science and Technology Innovation and Productivity Based on the Multivariate Statistical Model
Authors: Liu Ling
Published: October 2022

Science and technology (S&T) innovation is a significant driving force for regional productivity, and strong financial support can effectively promote S&T innovation. As the regional main body of S&T innovation, the first thing that enterprises need to address is the demand for funds. Internal funds are needed to maintain the overall daily operation of enterprises, and regional science and technology innovation funds mainly come from external financial support. Using the factor analysis method, multiple indicators were adopted to comprehensively evaluate the level of S&T innovation in each province and city as the variables and financial scale, financial structure, and financial efficiency as the variables, and the impact of financial support on science and technology innovation in four major regions was empirically studied using a panel data model. The degree of development of banking institutions and capital markets in different regions of China varies, and the financial system’s support for China’s S&T innovation varies widely. Therefore, it is important to study the impact of financial support on science and technology innovation among different regions in China for the balanced development of China’s regions.
Cloning and Characterization of the Gene Encoding HMGS Synthase in Polygonatum sibiricum
Authors: Jiang Yujie , Wang Dekai , Wu Kangjing , Wang Feifeng , Yang Qingwen , Han Ruilian , Liang Zongsuo , Jia Qiaojun
Published: October 2022

The saponins of Polygonatum sibiricum had many pharmacological activities such as antitumor, antioxidation, and blood sugar lowering, which were synthesized by two pathways: mevalonate (MVA) and methylerythritol phosphate (MEP). 3‐Hydroxy‐3‐methylglutaryl coenzyme A synthase (HMGS) was the key enzyme in the MVA synthesis pathway, and its expression level may affect the accumulation of saponins which were the main active ingredients of P. sibiricum. In this study, we successfully cloned HMGS1 and HMGS2 from P. sibiricum and their sequence similarity was 93.71% with 89 different sites. The multiple sequence alignment results indicated that the N‐terminal sequences of HMGS were conserved. Phylogenetic analysis showed that P. sibiricum, A. officinalis, N. tazetta, D. nobile, and other relatives had a common evolutionary ancestor. The expression levels of both HMGSs and the total saponin content in different tissues revealed that HMGS expression in rhizomes was positively correlated with total saponin content. Further study of the abiotic stress effect of Methyl Jasmonate (MeJA) demonstrated that the expression of HMGS1 and HMGS2 genes was induced by MeJA, peaked at 24 h, and fell by 48 h. Our present findings would provide a blueprint for future studies of HMGS and its role in triterpenoid biosynthesis in P. sibiricum.
Recent Advances in the Allergic Cross-Reactivity between Fungi and Foods
Authors: Xing Haiyan , Wang Jianyong , Sun Yuemei , Wang Hongtian
Published: October 2022

Airborne fungi are one of the most ubiquitous kinds of inhalant allergens which can result in allergic diseases. Fungi tend to grow in warm and humid environments with regional and seasonal variations. Their nomenclature and taxonomy are related to the sensitization of immunoglobulin E (IgE). Allergic cross-reactivity among different fungal species appears to be widely existing. Fungus-related foods, such as edible mushrooms, mycoprotein, and fermented foods by fungi, can often induce to fungus food allergy syndrome (FFAS) by allergic cross-reactivity with airborne fungi. FFAS may involve one or more target organs, including the oral mucosa, the skin, the gastrointestinal and respiratory tracts, and the cardiovascular system, with various allergic symptoms ranging from oral allergy syndrome (OAS) to severe anaphylaxis. This article reviews the current knowledge on the field of allergic cross-reactivity between fungal allergens and related foods, as well as the diagnosis and treatment on FFAS.
Seismic Survey in Lesser Himalayan Thrust Belt, Western Nepal
Authors: Li Zhongxiong , Li Qinru , Zhang Duorong , Tan Fuwen , Rajaure Sudhir , Zhao Gang , Tripathi Ganesh Nath , Du Baiwei , Yang Ping
Published: October 2022

Two hundred km of 2D seismic survey was carried out at the Lesser Himalayan Thrust Belts in Dailekh district, western Nepal. The main motivation is to elucidate the geologic relationship between the known oil and gas seeps, subsurface structure, and stratigraphy in the area. This is a challenging task which is from its extreme structural and geological complexity such as thrust faulting, tight folding, steep dip layers, and strong lateral variations in seismic velocity. Seismic data were acquired with SERCEL 428XL system and processed by GEOEAST computer software. In order to increase signal-to-noise ratio (SNR), suppress interference, and search for optimum acquisition parameters, a series of comparative tests on the different charge depth and size, group interval, CDP fold, geophone array, and single high-sensitivity geophone were conducted. We also tested 2S3L (two lines shooting and three lines receiving) wide line profiling. The results indicate that single hole with charge depth of 12 m, 4-16 kg charge size (less charge size for the densely populated areas), single high-sensitivity geophone, and 1S2L wide line profiling with 132 folds are the optimum acquisition parameters. On the basis of comparative process experiment, data processing workflow consisting of data preparation, prestack denoising, amplitude compensation, deconvolution, tomography static correction, velocity analysis, residual static correction, CRS stack, poststack migration, prestack time migration (PSTM), and prestack depth migration (PSDM) was selected. Maybe affected by problem of conflicting dip in complex media, CRS stack section does not show satisfactory geological characteristics. PSTM profile has moderate signal-to-noise (S/N) ratio; the shallow, medium, and deep continuous reflections can be observed in section. More details of the geological structures can be observed in PSDM section, especially in medium and shallow layers (less than 3000 ms or 4000 m), but PSDM method is more expensive and highly time consuming than that of CRS stack and PSTM. So, the PSTM section can be reasonably used for geological interpretation. By reference to field mapping, thrust characteristics, and MT data, the final interpretation to the PSTM section identified the interfaces of 6 geological units (Paleoproterozoic Nabhisthan Fm., Paleoproterozoic Dubidanda Fm., Neogene to Late Cretaceous Surkhet group, Late Carboneferous to Early Cretaeous Gondwana group, Mesoproterozoic Upper Lakharpata group, and Lower Lakharpata group) and delineated Main Boundary Thrust (MBT), Ramgarh Thrust (RMT), Padukasthan Thrust (PT), and Dailekh Thrust (DT). The bottom of Surkhet group which is our top target zone is about 4250 meters deep.
Development of Interactive English Teaching Online Platform Based on Collaborative Filtering Algorithm
Authors: Hao Cao
Published: October 2022

In order to better promote the development of Interactive English teaching, we develop the existing online teaching platform on the basis of an improved collaborative filtering recommendation algorithm and construct an online English teaching platform that can meet the needs of teaching interaction. With the help of the “hierarchical learning” mode, an interactive teaching model in the form of self-study is constructed to provide users with the most suitable English learning resources. A new method is used to search the nearest neighbor set intelligently for the target user as a supplement to its similarity. This algorithm can be used well in interactive English teaching mode. On this basis, the system module of this study mainly includes a communication page, course evaluation, collaborative editing, and resource sharing. This study also investigates the actual use of students. The results show that the interactive English online teaching platform can meet most of the students’ needs. In this study, the interactive English online teaching platform developed based on a collaborative filtering algorithm has a significant effect, which enhances the interactivity of teaching, improves the quality of English teaching, and increases the breadth of teaching.
Resveratrol Induces Apoptosis, Suppresses Migration, and Invasion of Cervical Cancer Cells by Inhibiting the Hedgehog Signaling Pathway
Authors: Jiang Jie , Liu Zhenghua , Zhou Xiuping , Peng Fenglan , Wang Zhihui , Li Feng , Li Ming
Published: October 2022

To investigate the effect and mechanism of resveratrol on the biological behavior of cervical cancer cells (HeLa cells), the apoptosis, migration, and invasion of HeLa cells were detected by flow cytometry, wound healing, and transwell assays. The expression levels of Hedgehog signal pathway proteins (smoothened (SMO), zinc finger transcription factors (Gli1), and sonic hedgehog homolog (Shh)) were detected by quantitative real‐time PCR (qPCR) and western blotting. Compared with that control group, resveratrol (RES) significantly induced apoptosis, inhibited the migration and invasion of the HeLa cells. The expression of SMO, Gli1, and Shh were downregulated in the HeLa cells treated with RES. The Hedgehog agonist purmorphamine (PUR) reversed the RES‐induced increase of apoptosis and reduction of migration and invasion in the HeLa cells. In conclusion, RES induced the apoptosis and suppressed the migration and invasion of HeLa cells by inhibiting Hedgehog signal pathway.
Renal Denervation Influences Angiotensin II Types 1 and 2 Receptors
Authors: Hosseini-Dastgerdi Hajaralsadat , Kharazmi Fatemeh , Pourshanazari Ali-Asghar , Nematbakhsh Mehdi
Published: October 2022

The sympathetic and renin-angiotensin systems (RAS) are two critical regulatory systems in the kidney which affect renal hemodynamics and function. These two systems interact with each other so that angiotensin II (Ang II) has the presynaptic effect on the norepinephrine secretion. Another aspect of this interaction is that the sympathetic nervous system affects the function and expression of local RAS receptors, mainly Ang II receptors. Therefore, in many pathological conditions associated with an increased renal sympathetic tone, these receptors’ expression changes and renal denervation can normalize these changes and improve the diseases. It seems that the renal sympathectomy can alter Ang II receptors expression and the distribution of RAS receptors in the kidneys, which influence renal functions.