bluuebunny/crossref_metadata_2025 huggingface dataset:
Lifestyle and Behavior of Children During COVID-19
Authors: Muthukumaran Kavitha , Haridasan Vani
Published: April 2022

Due to the COVID-19 epidemic, the term "change in children's lifestyle behavior" is currently a hot topic in society. Children's lifestyle behaviors may have been altered by home confinement during the epidemic, although evidence is still emerging and limited, which talks about SDG 3: Good Health and Well-Being. The present study focuses on the important factors that lead to change in lifestyle of children, to examine the effects of COVID-19 confinement, and to suggest preventive measures. The design used for this study is descriptive and an online survey was conducted within Tamilnadu with a sample size of 105. Correlation, chi-square are the tools used for testing the variables. This study identifies an adverse impact on mental health, such as decreased well-being and increased post-traumatic stress disorders (PTSD) and anger. These findings should be taken into account to design and implement health strategies for preserving children’s health during pandemics.
Monitoring State-of-Charge of Lithium-Ion Battery with Diverse Series-Parallel Configuration Using Particle Filter
Authors: Sinha Bhabya , Adhikary Arunima , Nandini P. , Chakravartula Venkatesh , Narayanamoorthi R. , Dhanalakshmi Samiappan
Published: April 2022

Lithium-ion battery packs are typically assembled into modules. These modules can be equipped with various series-parallel configurations. In this work a feasible method for monitoring SoC is demonstrated by designing a circuit model in Simulink of three different configurations 3s2p (three in series and two in parallel), 3s3p (three in series and three in parallel), and 4s2p (four in series and two in parallel) using Particle Filter. Initially, lithium-ion cells are connected in 3s2p configuration and then we compared our results by adding one cells in parallel and then in series with the estimated SoC of 3s2p configuration, a complex current pattern is used in simulation to verify PF's performance. As lithium-ion batteries have a great importance and are widely used in electrical vehicles because of their power efficiency, high charging rate, and more lifetime, proper monitoring of SoC plays a vital role in BMS.
Customer Perceived Value of Social Media Interface: An Exploration of Factors and Model Testing Using CFA
Authors: Chandak Shravan , Sao Ruchi , Bhadade Pritam
Published: April 2022

Customer perceived value is one the most extensively studied concept in modern marketing literature. This study is an attempt to develop a conceptual model measuring customer perceived value of social media interfaces (Facebook pages, Twitter handles, etc.) of brands. Various variables that could impact customer perceived value are explored, factors are extracted using factor analysis, and the conceptual model is tested using confirmatory factor analysis. The study identifies five factors, namely trustworthiness of social media interface (online trust), company personnel handling social media interface, developing relationships, being heard or staying connected, and seeking the information as factors that contribute to perceived customer value while considering social media interface of brands. A detailed structured questionnaire was developed to measure the constructs later analyzed using CFA technique. The results of the study support the proposed theoretical model. In particular, the study identified dimensions of customer perceived value for the social media interface of the brands.
A Randomized Comparative Study on Effectiveness of Combination of Spectacles with Atropine 0.01% on Myopia Progression in Teenage
Authors: Anand Alpa , Gupta D P , uz Zaman Md Noor
Published: April 2022

Myopia (nearsightedness) is the most common cause of visual impairment globally. Prevalence of myopia varies among geographical regions, ethnic populations, and age groups. This study is aimed to investigate whether combination of spectacles with atropine 0.01% treatment reduce myopia progression in teenage and to compare interventions (bifocal + atropine 0.01%, single vision lens + atropine 0.01%) of interest with each other, and to single vision lens control group. Children of edge 8-15 years in group were randomly assigned to one of three treatments; single vision lens, single vision lens + atropine 0.01%, and bifocal + atropine 0.01%. Myopia progression was assessed using streak retinoscope following cycloplegia over a period of 1 year. Treatment effect of both interventions were found statistically insignificant (p value>0.05%). Over a period of 1 year both single vision lens + atropine 0.01% and bifocal + atropine 0.01% were found to be insignificant as compared to single vision control group.
Responsible Consumption: Step Towards Environmental Sustainability
Authors: Nayak Sivangi , Kapoor Namita
Published: April 2022

Food security is a prominent issue, and the concern continues to grow along with the growing population, where estimates for 2050 have put the population at around 9 billion people. This problem brings into question how to keep up with the food requirements of a massive and growing population. Accordingly, most economies should be moving towards the regenerative method, circular economy, and leaving the unsustainable take-make-waste linear approach. While much research has gone to improving the supply chain to increase efficiency and cut food waste in the production process, there has been little information about food waste at the consumer level to promote sustainability. To make the move towards a circular economy, it is necessary to understand the interaction consumers have with food at each stage: purchasing, using, and disposing of food. To look at this novel take the research aims at finding those variables that contribute to the wastage of food at the consumer level among those stages and how these can be alleviated to encourage responsible consumption to lead to environmental sustainability. This is achieved through the R-SWARA method, where respondents ranked food waste-inducing variables from which their importance is found. The results show that the frequency of shopping, leftovers, and the lack of facility to carry out proper food waste management have the heaviest weightage amongst the respondents.
New Insights on Molecular Communication in Nano Communication Networks and their Applications
Authors: Mammen Koshy Akshay , Jeerapan Itthipon , C Manjunatha
Published: April 2022

The advancement in nanotechnology has carved out a way to establish a powerful base to fall on for implementation of nanoscale machines having the capability to carry out significant yet trivial tasks. This impetus has led the researchers to continually bring up various solutions for implementing and executing nanoscale communications taking into consideration of biological as well as electromagnetic communication. The primary aims are expanding the abilities of nanoscale devices to integrated multiple composite tasks by reciprocated coordination, which can be carried out through this communication type. This paper describes the current research developments in nano communication networks, focusing on molecular communication (MC). MC makes use of molecules as an information transporter between nanoscale machines. Molecules help in enciphering messages to send between a sender and a receiver. MC has, thereby, become an inseparable part of the IoNT (Internet of Nano-Things) as a communication model among nanoscale machines. This paper also gives a description of the design of MC systems and various channelling models used to address the various challenges and opportunities in this new upcoming and developing field. In addition, this review article is also inclusive of an investigative survey on the recent developments in this field.
Impact of COVID-19 on the Livelihood of Indian Rural Population
Authors: Sharma Sanjiv , Singh Jashandeep
Published: April 2022

COVID-19 spread has impacted all shards of life of larger population around the world, the effect remained devastating in developing countries with poor to average health infrastructure. In many developing countries like India where agriculture always remain backbone of economy and power livelihood to large segment of rural masses, COVID-19 spread created huge consequences on general health, livelihoods, and sustainability of rural economy. Unrehearsed mechanism, processes, and policies has given a big blow to informal rural economy. The paper is an attempt to comprehensively measure the effect of COVID-19 on agriculture, economy, and livelihood of rural India. Research material, including secondary data available for various aspect of rural economy, has been explored along with various village centric studies conducted and published by different researchers. Researcher also tried to suggest how the livelihood and economy can be protected.
Phase Transition in PVDF-TrFE/Hyperbranched Polyester (90/10) Blend Thin Film During Heating-Cooling Cycle Using FTIR Spectroscopy
Authors: Manjula Dhevi Dhevagoti , Ponnan Sathiyanathan , Arun Anand Prabu , Kim Hongdoo
Published: April 2022

In this paper, we prepared two spun-cast PVDF-TrFE/hyperbranched polyester (HBP) blend (90/10 wt.-%) film samples on KBr substrate (Blend-AC sample). One of the AC sample was thermally treated at 130oC (Blend-AN sample). Crystal transition behavior were studied by treating both AC and AN samples to 30→120→30oC cycle by in-situ FTIR spectroscopy under transmission (TS) mode. From qualitative FTIR data, absorption intensity of A1 band at 1289.5 cm-1 for AC and 1292 cm-1 for AN decreased gradually during heating for both the samples. However, it is increased at 30oC condition for AC sample, whereas it reached the initial intensity for AN sample at 30oC condition. Blend-AC and Blend-AN thin film samples exhibit irreversible and reversible phase transitions, respectively. Further, the FTIR-TS heating-cooling data were subjected to Factor Analysis (FA). AN sample exhibited reversible phase transition (70%↔70%), while AC sample displayed irreversible transition (50%↔70%), which signifies the importance of this study.
Evaluation of Architectural Design Features in Achieving Sustainability in Hospital Projects
Authors: Ahmad Julfikar , Boity Antony Kumar , Chauhan Harnoor Kaur , Arora Kritika
Published: April 2022

Newly built hospitals need to be assessed to evaluate the performance in the context of sustainability by means of comparing the thermal comfort level of the users and the ambient thermal conditions in hospital environment of high- and low-level designs. A perspective of facility management has been used to decide the responsibility of hospital administrators towards contributing for sustainable design outcome in order to make operational sustainable hospital with newly and restructured construction. To asses this, study data was extracted by using thermal environment equipment and energy simulation applications, through conducting survey of thermal comfort and interviewing authoritative personnel who provide services and care, facility provider and patients. The hypothesis suggests about how sophisticated sustainable ventilation design provisions provide a feel-good fact or from thermal comfort point of view and it helps to push down lower heat index in the wards that are designed with natural ventilation features.
Consumer Behaviour Towards Usage of Mobile Banking: An Investigative Analysis
Authors: Palanisamy Vadivel , Kannan R. Rajesh , Sarika P. , Vasantha S. , Ansari S. Thameemul
Published: April 2022

Consumers in olden days kept using traditional system of banking. As years passed by, technology revolutionized the entire world and it did not spare the banking industry. Technology is used for offering or delivering banking services to the loyal customers and consumers. Main purpose of using technology is to cause enormous benefits to the consumers. Bankers use the technology to make the consumers keep up to date in terms of banking services. Though technical snarls decreases the performance of mobile banking, users of mobile banking have started marginally increasing and consumer behaviour changes over time when they come to use mobile banking. In this study, a total of 152 respondents are surveyed and results are arrived at according to that. Empirical Research Design was used by the researcher.
Comprehensive Study of Microstrip Patch Antenna Using Different Feeding Techniques
Authors: Kashyap Neeru , . Geetanjali , Singh Dhawan , Sharma Neha
Published: April 2022

For modern wireless communication systems, miniaturized multiband antennas with enhanced bandwidth and gain are desired to achieve optimum system performance. A planar microstrip patch antenna is preferred because of its small size, low cost, and ease of fabrication. For impedance matching, a conductive metallic patch can be fed by different techniques to deliver the maximum power to the microstrip antenna. The various configurations of inset feed, co-axial feed, aperture feed, and proximity feed, and CPW feed, which are used to excite micro-strip patch antennas, are reviewed in this research paper. Different feeding mechanisms are discussed to improve antenna performance in terms of S11 parameter, bandwidth, gain, and radiation pattern suitable for different wireless communication applications.
Evolution of Wall Painting and their Footprints Across the Globe
Authors: B Neelam , Singh Arjun kumar
Published: April 2022

Every wall artwork narrates its personal tale via a social message primarily based totally on a present day or beyond scenario, or through interacting via its sturdy and formidable colours. Public road images are visual exchange equipment that files existence with regard to history, depicting the relevance of a selected location to the world. Such visuals additionally create greater interactive areas, and emerge as the identification of an area. They call out to people, turning into a reinforcing part of their day to day lives. Street artwork has now emerged as a movement throughout the globe. In the present day situation, amassing areas have modified to public transport hubs, malls, railway stations, cafes, and restaurants. So there's a need as well as a want to revive those spaces with visuals imagery. A case study observes how public wall art has evolved and changed through touring exceptional towns to recognize how those snapshots, an imperative part of society, are drivers of metamorphosis for the better. Street artwork has the capability to provoke a highbrow speak with the viewer and may consequently, meaningfully affect and have an effect on the society, which possibly these days is the want of the hour. It really is a pressure multiplier to conform the society.
Normative Values of Binocular Vision Parameters: A Systematic Review
Authors: Yadav Priyanka
Published: April 2022

This article aims to review population-specific ethnicity-based normal values of binocular vision parameters for diagnosing non-strabismic binocular vision anomalies. Method: Search engines Google Scholar, Sci-Hub, and Pubmed were used to search studies published between 1983 to 2021 using keywords such as normative values, binocular vision parameters, non-strabismic binocular vision anomalies, binocular vision, accommodation, and vergence. Results were presented in tabular form based on the site of study, publication year, and methods used for study for comparison. Results: Several studies have been done in various parts of the world. Mostly, they determined certain parameters of only accommodation or vergence. Recently, some studies have done a comprehensive investigation of both. Mostly these studies were overseen in America followed by Europe, Asia, and Africa. There were differences in methodologies and techniques used. Thus, norms varied among studies. Conclusion: The difference in normative data for NSBV parameters could be because of the disparity in techniques used. The succeeding studies should be done using similar and authentic testing techniques and a good methodology for clarification of these results. It is needed to conduct more studies on the Asian population.
A Review on Usage of Internet of Things (IoT) Technologies in Mushroom Cultivation
Authors: Aggarwal Nisha , Singh Dinesh
Published: April 2022

With the advent of new technologies, IoT came into existence and created its niche in the technological world with its outperforming functionalities. Integration of different sensors helps in collecting real time data in different applications. Smart farming is described as the application of modern technologies to farming practices in order to achieve continuous improvement in farming procedures, resulting in increased productivity. The Internet of Things (IoT) is blending with modern agriculture because it enables farmers to track their farms in real time and access all of the information they need from any place at any time. Mushroom cultivation has also experienced the similar trends. Improved production and quality of crops can be obtained by controlling the climate for mushroom cultivation, as the ideal environmental conditions such as temperature, carbon dioxide, humidity level, sunlight, nutrient, and pH can be monitored and regulated using modern IoT enabled techniques. This research article presents the systematic mapping (2007-2020) of the current technologies been used in mushroom cultivation using IoT. Review of IoT technologies such as gateway, types of sensors, communication system, nature of experiment, and user interface is presented. The advantages and disadvantages of usage of these modern technologies in mushroom cultivation is also discussed.
Hybrid Support Vector Machine and Distance Classifier in Breast Tumor Detection
Authors: Sharma Usha , Narain Bhavana , Nohria Vaibhav
Published: April 2022

It is time to look back to balance life style as cancer is affecting all stage of life. Several research studies are going on to make the detection process of cancer painless. Artificial Intelligence is used to detect MRI images and help in decision making. There are two hybrid models proposed. The first model is the combination of Support Vector Machine and Modified Back Propagation Neural Network. The second model is a combination of Distance Classifier and Modified Back Propagation. We have collected more than five thousand MRI dataset related to breast cancer. Dataset was preprocessed and analyzed through hybrid models proposed. In first section we provide introduction to Support Vector Machine. In second and third sections, hybrid models of Support Vector Machine and Distance Classifier are discussed. In result and discussion, we have presented the sample of statistical data and output. The model shows 97% accuracy in breast tumor detection.
Synthesis and Characterization of a Conductive Composite for 3D Printing Technology
Authors: Sultana Papia , Riyad S. M. Rakib Emran , Akter Mst. Shamima , Rahman A. M. Abdur , Kabir Md. Hasnat
Published: April 2022

Iron oxide nanopowder/magnetite (Fe3O4) ornamented multiwalled carbon nanotubes (MW-CNTs) based composite polymer is prepared to improve some of the electrical properties of polymer named poly lactic acid (PLA). The oxidation of MWCNTs is performed to induce different functional groups like hydroxyl (-OH), carboxylic (-COOH) and carbonyl (-C=O) on the surface of MWCNTs. Co-precipitation synthesis method is used to produce iron magnetite (Fe3O4) nano powder with 2M HNO3 at 150°C temperature. Fourier-transform infrared spectroscopy (FTIR) is used to investigate the bonding properties of MWCNTs and the (Fe-O) and (Fe-OH) bond is also confirmed from the synthesized Fe3O4. The composite sample is prepared with PLA, functionalized MWCNTs and synthesized iron nano powder (Fe3O4) by our own designed melting and mixing system at 210oC fixed temperature. I-V analysis is carried out on 1wt%, 3%wt and 5%wt Fe3O4 with constant PLA/CNT composite to observe the electrical conductivity. All sample shows linear conductivity with the concentration of Fe3O4 nano powder.
Electro-Oxidation and Determination of Ciprofloxacin at f-MWCNT@Poly-Aniline Glassy Carbon Electrode
Authors: Jain Prashu , Motghare Ramani V.
Published: April 2022

A simple and sensitive electrochemical sensor was developed to quantify ciprofloxacin by restricted electro-polymerization of aniline on GCE followed by drop coating functionalized MWCNTs. Electro-catalytic activity of modified electrodes was investigated by EIS and CV revealed decrease in electrode’s charge transfer resistance and increase in electron transfer kinetics. Effect of pH and scan rate suggests a mixed adsorption-diffusion process. Tafel slope (plot of ln∣j

a
∣ or ln∣I

a
∣ against E) with linear relationship of potential vs logarithm of current on the linear sweep voltammogram determined the electron transfer coefficient (α). Using the value of (α), number of electrons (n) involved in the rate determining step was obtained. Surface coverage of analyte molecules adsorbed, and diffusion coefficient of ciprofloxacin were estimated from the Laviron and Randles Sevcik equations respectively. Peak current obtained by LSV for various concentrations of ciprofloxacin exhibited two linear ranges, 0.1 μM to 1 μM and 1 μM to 20 μM, with limit of detection 0.08 μM (RSD = 2.4%, S/N = 3). Presence of species existing abundantly in the sample matrix do not affect the sensor signal. Proposed ciprofloxacin sensor demonstrated high reproducibility, long-term stability and fast reaction. The fabricated sensor successfully determined ciprofloxacin in pharmaceutical formulations with recoveries between 92 to 104%.
Subcutaneous B16 melanoma impairs intrinsic pressure generation and relaxation of the heart, which are not restored by short-term voluntary exercise in mice
Authors: Uurasmaa Tytti-Maria , Streng Tomi , Alkio Milla , Karikoski Marika , Heinonen Ilkka , Anttila Katja
Published: April 2022

Melanoma has been shown to induce cardiac atrophy and impair cardiac function in vivo, however, it has not been investigated how melanoma affects the intrinsic heart function. Here, we showed that subcutaneous melanoma can impair intrinsic heart function in noncachectic mice, decreasing the heart’s pressure production and relaxation. In addition, we investigated whether short-term voluntary wheel-running exercise could attenuate the impairment of intrinsic cardiac function. However, our results do not seem to support this hypothesis.
α-Tubulin acetylation on lysine 40 controls cardiac glucose uptake
Authors: Renguet Edith , De Loof Marine , Fourny Natacha , Ginion Audrey , Bouzin Caroline , Poüs Christian , Horman Sandrine , Beauloye Christophe , Bultot Laurent , Bertrand Luc
Published: April 2022

Acetylation level of α-tubulin on K40 is increased in the heart of a diet-induced mouse model of type 2 diabetes. Pharmacological stimulation of α-tubulin K40 acetylation lowers insulin-mediated GLUT4 vesicles translocation to the plasma membrane, reducing glucose transport. Expressing a nonacetylable dominant form of α-tubulin boosts glucose uptake in both insulin-sensitive and insulin-resistant cardiomyocytes.
The Development and Realization of Digital Panorama Media Technology Based on VR Technology
Authors: Qiu Yake , Tao Jingyu
Published: April 2022

The purpose of this paper is to understand the digital 3D multimedia panoramic visual communication technology based on virtual reality. Firstly, the key concepts and characteristics of virtual reality are introduced, including the development and application of digital three-dimensional panorama technology. Then, according to the theoretical research, some basic knowledge of 3D panoramic image Mosaic is introduced, including camera image modeling, image sharing, and image exchange. Finally, with the development of the virtual tour at the College of Normal University, the hardware of panoramic technology and the demand of panoramic image search have been expanded in the application. The design of panoramic Mosaic, panoramic image generation, and virtual tour school construction considers real-world issues. The innovation of this paper lies in that will be used by SketchUp8.0 software builds the geometry of 3d virtual scene and by the cylindrical panoramic images based on image of building 3 d virtual scene organic unifies in together and makes a panoramic image can be as the change of seasons in the real scene and real-time change, enhance the sense of the reality of the system and user immersive.
Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test
Authors: Alhussaini Khalid , Saleh Shaza , Aleid Adham , Alkhalaf Saad , Badghaish Reem , Altinawi Amir , Alwasel Abdullatif
Published: April 2022

Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (GDTs). However, these methods face two issues: the relatively long time required to perform the gap detection test in such settings and the potential of inaccessibility to such facilities. This article proposes a fast, affordable, and reliable application-based method for the determination of GDT either inside or outside the soundproof booth. The proposed test and the acoustic stimuli were both developed using the MATLAB® programming platform. GDT is determined when the subject is able to distinguish the shortest silent gap inserted randomly in one of two segments of white noise. GDTs were obtained from 42 normal-hearing subjects inside and outside the soundproof booth. The results of this study indicated that average GDTs measured inside the booth (5.12 ± 1.02 ms) and outside (4.78 ± 1.16 ms) were not significantly different. The measured GDTs were also comparable to that reported in the literature. In addition, the GDT screening time of the proposed method was approximately 5 minutes, a screening time that is much less than that reported by the literature. Data show that the proposed application was fast and reliable to screen GDT compared to the standard method currently used in clinical settings.
Comparison of Different Confidence Intervals under Type‐I Censoring Scheme
Authors: Algarni Ali , Almarashi Abdullah M. , Kundu Debasis , Abd-Elmougod G. A. , Abdel-Khalek Sayed
Published: April 2022

In a life testing experiment, the successive failure times at putting n units under test are recorded under consideration that the advance fixed experiment is terminated at time T. This type of censoring scheme, called conventional Type‐I censoring scheme, is used widely. In this paper, we assume that the items’ failure times are independent and distributed with exponential lifetime distribution with parameter θ. The estimator with maximum likelihood method is obtained in an exact form and its distribution is also obtained with the unknown parameter. We proposed the exact confidence interval, for estimators and , asymptotic confidence intervals, confidence interval under likelihood ratio test, and finally, two bootstrap confidence intervals. Under the Bayesian approach, the unknown parameter is estimated and the corresponding credible interval is obtained considering the prior information formulated with the inverted gamma distribution. The Monte Carlo simulation study is used to compare different methods. Finally, for illustrative purposes, the real dataset is used and analyzed.
E-Commerce Logistics Intelligent Warehousing System Solution Based on Multimedia Technology
Authors: Liu Huajin , Hu Zhenlong , Hu Jianhua
Published: April 2022

In recent years, with the integration and development of the internet and various industries, the social economy has begun to develop toward diversification. The rise of e-commerce logistics has driven the transformation and upgrading of the manufacturing industry and injected new vitality into e-commerce. It also promotes the new development of cargo warehousing as one of the important components. Traditional warehousing began to gradually develop toward intelligent informatization, relying on emerging science and technology. Smart warehousing also brings valuable development opportunities and challenges to the manufacturing industry. On the basis of the existing achievements, this paper proposes a solution of an intelligent warehousing system for e-commerce logistics based on multimedia technology. It, firstly, introduces the structure of the intelligent warehousing system in detail, and then, it analyzes the requirements for the functions of the intelligent warehousing system based on multimedia technology. It includes user management, receiving business, storage business, tally business, and outbound business. In the end, the intelligent warehousing system based on multimedia technology and the traditional intelligent warehousing system are compared and tested for system function and experience. The test results show that the work efficiency of the intelligent warehousing system based on multimedia technology is significantly higher than that of the traditional intelligent warehousing system. In terms of user experience, the performance of the intelligent warehousing system based on multimedia technology has reached 8 points and above. It proves its usefulness and effectiveness.
Apprehending the Effect of Internet of Things (IoT) Enables Big Data Processing through Multinetwork in Supporting High-Quality Food Products to Reduce Breast Cancer
Authors: Shukla Surendra Kumar , Kumar B. Muthu , Sinha Divyanshu , Nemade Varsha , Mussiraliyeva Shynar , Sugumar R. , Jain Rituraj
Published: April 2022

Medical science in recent times has witnessed the large implications of AI-based IoT approaches that made the clinical process easier than before. However, effective IoT technologies can connect as well as exchange necessary clinical data with other healthcare systems and devices conducted across the vast Internet facilities. With the help of IoT-enabled big data processing technologies, physicians can measure accurate weight, blood pressure, and daily symptoms related to spreading breast cancer cases across the globe. Utilizing IoT is essential for providing proper medical assistance, treatment, and detection at the initial stages within the healthcare environment regulated by the facilities of the Internet of Things. The implementation of IoT-based big data processes food products for supporting the detection and prevention of breast cancer. The study supports in making a critical analysis on the role of IoT in the big data mainly in cancer detection and increasing the quality of food products. The study’s main scope is to employ IoT-enabled big data processing to aid in the identification of breast cancer. However, the research is mainly focused on studying the assistance offered to healthcare professionals and others in identifying the disease effectively. The overall research study is going to investigate the role of IoT in the early detection of breast cancer symptoms. A total of 20 women were studied and certain factors have been identified which are the early symptoms of breast cancer and can potentially cause breast cancer. These include age, family history, breast density, and breast temperature (independent variables). A dependent variable has been selected: probability of breast cancer occurrence. After that, linear regression analysis has been carried out to understand how the independent variables impact the dependent variable. Findings showed that age, family history of cancer, breast density, and breast temperature are some measurable factors for breast cancer detection. The work contributes to a critical investigation of the function of IoT in big data, specifically in cancer detection and improving food product quality. Age acceleration increases the risk of breast cancer development; breast temperature increases slightly during cancer formation, and breast density has a positive impact on cancer development. Lastly, this study has provided a future scope of using IoT in cancer detection and prevention.
Clinical Efficacy of Interventional Chemotherapy Embolization Combined with Monopolar Radiofrequency Ablation on Patients with Liver Cancer
Authors: Tian Zhenhua , Zhang Wei
Published: April 2022

Due to the greater prevalence of chronic hepatitis B infection, liver tumor is especially popular in China. In China, it is the 4th most prevalent tumor and the 3rd main reason for cancer fatalities. Hepatocellular carcinomas (HCCs) account for more than 91% of every liver tumor case, and chemotherapy and immunotherapy are the better therapy choices. It is a serious threat to the lives and health of Chinese citizens. Patients diagnosed with liver tumors have a bad prognosis. Surgical resection, liver transplantation, chemotherapeutic embolization, and radiofrequency ablation (RFA) are all choices for patients who are detected early. More effective therapies can result in a better prognosis. This paper analyzes the clinical efficiency of interventional transarterial chemoembolization (TACE) integrated with monopolar radiofrequency ablation (RFA) on patients with a liver tumor. Initially, the dataset is collected and the patients are treated with combined TACE and RFA. The computed tomography (CT) images are obtained using three-phase CT imaging. The images are segmented using adaptive U-Net-based segmentation. The clinical efficiency of the patients is evaluated using Robust Residual Convolutional Neural Network (RR-CNN) which is optimized using Firefly Particle Swarm Optimization (FPSO) algorithm. The performance of the system is analyzed using the MATLAB simulation tool. In performance analysis, the proposed method of RR-CNN is high when compared to the existing method of CNN, logistic regression using genetic algorithm and KNN in overall parameters are accuracy, sensitivity,

F
1

-score, and specificity. These integrated treatments have a suggested greater response frequency, indicating a synergistic impact by combination treatment in the initial stages.
Application of Grey Relational Analysis and Multiple Linear Regression to Establish the Cutting Force Model of Oil Peony Stalk
Authors: Du Zhe , Zhang Liyuan , Xie Xiaolin , Li Denghui , Li Xinping , Zhang Zhihong , Pang Jing
Published: April 2022

Oil peony is an important oil crop, which has high quality and oil content. In order to improve the cutting quality and harvest efficiency of oil peony, the cutting equipment of the pruning machine and harvester is a key component. Also, the accurate prediction of cutting force of oil peony stalk is one of the essential processes for the design of the cutting equipment. In this article, to accurately predicted the cutting force of the stalk, the physical property parameters and chemical components were considered as influencing factors, which were used to establish the model of mechanical property parameter of oil peony stalk. The physical property parameters of oil peony stalk included the stalk diameter, internode distance, fresh weight, dry weight, relative moisture content, volume, fresh density, and dry density. The chemical components of the stalk were cellulose, hemicellulose, and lignin. Besides, the modeling methods, which were the partial least squares regression (PLSR), principal component analysis (PCA) couple with multiple linear regression (MLR), and grey relational analysis (GRA) couple with MLR, were used to optimize the multiple parameters (physical property parameters and chemical components). The results showed that the internode distance and relative moisture content had significant effects on the cutting force of oil peony stalk. The

R
c
2

and

R
p
2

values of the GRA (0.5) + MLR method were 0.801 and 0.820, and RMSEC and RMSEP values were 2.862N and 4.715N, respectively. Consequently, the GRA + MLR method could be used to predict the cutting force of oil peony stalk, which was an important basis for the design of precision cutting equipment.
Single and Interval-Valued Hybrid Enthalpy Fuzzy Sets and a TOPSIS Approach for Multicriteria Group Decision Making
Authors: Olgun Murat , Türkarslan Ezgi , Ye Jun , Ünver Mehmet
Published: April 2022

The concept of entropy is one of the most important notions of the information theory. Entropy quantifies the amount of uncertainty involved in the value of a random variable or the outcome of a random process. Shannon’s entropy is one of the most useful entropy types. The notion of enthalpy is the information energy expressed by the complement of Shannon’s entropy. In this paper, we propose the concept of interval-valued hybrid enthalpy fuzzy set by modifying single and interval-valued fuzzy multisets. In this context, an interval-valued hybrid enthalpy fuzzy set contains information about both the data and their entropy. We also provide a cosine similarity measure between interval-valued hybrid enthalpy fuzzy sets. Using this cosine similarity measure, we propose a TOPSIS approach for multicriteria group decision making. Moreover, we apply the proposed TOPSIS method to a research assistant selection problem, and we compare the result with the result of a classical TOPSIS method.
Intermittent Hypoxia Inhibits Hepatic CYP1a2 Expression and Delays Aminophylline Metabolism
Authors: Zhang Xiao-Bin , Chen Xiao-Yang , Chiu Kam Yu , He Xiu-Zhen , Wang Jian-Ming , Zeng Hui-Qing , Zeng Yiming
Published: April 2022

Purpose. In this study, we aimed to determine the effects of intermittent hypoxia (IH) on hepatic cytochrome P450 1A2 (CYP1A2) expression and the pharmacokinetics of CYP1A2-mediated aminophylline and warfarin in vitro and in a rabbit model of obstructive sleep apnea. Materials. Human normal liver (LO-2) cells were exposed to 30 min each of 1%, 1–21%, 21%, and 21–1% O2, and then, CYP1A2 expression and drug concentrations were analyzed. We compared the pharmacokinetic parameters of drugs administered to normoxic rabbits and those exposed to 10 min of IH during which the oxygen level fluctuated from 21% to 8%–10% (n = 10 per group). Results. The expression of CYP1A2 protein in vitro was significantly reduced in the IH compared with the normoxic cells (0.56 ± 0.11 vs. 1.27 ± 0.17,p<0.001). Aminophylline was more abundant in cell culture supernatants after 48 h of IH than in those under normoxia. The T1/2, AUC0–24 h, and Ke values for aminophylline were significantly higher in the IH group. Conclusion. Intermittent hypoxia inhibits hepatic CYP1A2 expression and delays aminophylline metabolism, suggesting that the impact of IH on the expression of CYP enzymes should be closely monitored in clinical practice.
Formulating Polypropylene with Desired Mechanical Properties through Melt Compounding of Homopolymer and Impact Copolymer
Authors: Peng Yucheng , Liu Shaoyang , Wang Pixiang , Wang Yifen , Wang Xueqi
Published: April 2022

Many grades of homopolymer polypropylene (HPP) and impact copolymer PP (ICPP) with a wide range of mechanical properties have been developed for a variety of applications in different industrial sectors. Management of this wide range of materials is a challenge for material suppliers and manufacturers and product developers. This research was to provide insights for managing material supplies through formulating PP with specific mechanical properties using melt compounding of ICPP and HPP. ICPP and HPP were compounded with an internal mixer at different ratios and then the mixtures were injection molded into specimens for characterization. The mechanical behaviors, fracture surfaces, and thermal properties of the mixtures were then characterized. The fracture surface results indicated that the morphologies of the rubber particles in ICPP changed after compounding with HPP, leading to different mechanical and thermal behaviors of the mixtures. Notched and unnotched impact strengths increased linearly with increasing ICPP contents. The crystallization peak temperatures increased linearly with increasing ICPP contents while the degrees of crystallinity of the mixtures decreased linearly. The thermal compounding process and the original material properties mainly determine the final mixture behaviors, and the mixture properties can be predicted based on the weight ratios of the two components.
Experimental Study on the Influence of Borehole Angles on Fracture Grouting in Limestone Aquifers
Authors: Li Jianbo , Xu Yanchun
Published: April 2022

Grouting is an effective method to ensure mining safety by reconstructing confined aquifers. However, the effect of grouting on deep‐buried aquifers is difficult to evaluate. Therefore, the experimental means in this paper are used to study the fracture grouting effect under the influence of borehole angles. A special device composed of boreholes and fractures is designed to study the whole process of grouting in limestone fractures. Four factors are tested in the experiment, including penetration distance, water separation, slurry stone body, and sealing effect. The results show that the slurry deposition can be divided into two stages, including the initial diffusion and the second gravity deposition. The water separation of mixed slurry is an important factor affecting the grouting effect. The slurry stone body formed through deposition is the key area for blocking water, and the borehole angles are the key to ensure the second gravity deposition. For a horizontal borehole, it is difficult to completely fill the space of fractures only by deposition and a certain angle is essential to achieve the second deposition. When the filling area of the fracture section is more than 90%, the flow characteristic of the fractures after grouting is closer to the equal percentage. When the filling area is less than 90%, the flow characteristics are approximately linear. At last, the data monitored in field grouting engineering are analyzed based on the grouting mechanism obtained from the experiment and the final consolidating form of slurry in a single fracture is described. The research is helpful for the optimization of grouting technology in the fractured aquifers under coal seams before mining.
Risk Factors for Dupuytren’s Contracture: A Case-Control Study
Authors: Zheng Liangxiao , Chen Dongliang , Liu Peng , Liu Jinwei , Song Xiaofeng , Zhang Zengfang
Published: April 2022

Objective. To study the risk factors of Dupuytren’s contracture (DC) and to provide a reference for the clinical prevention and treatment of DC. Methods. The clinical data of 21 DC patients treated with surgery in Qilu Hospital of Shandong University (Qingdao) from March 2014 to January 2022 were collected. During the same period, 31 subjects who were admitted to the hospital for treatment of finger numbness, difficulty in movement, and other reasons were selected as the control group, and the clinical data of the control group were collected. A case-control study was used to analyze the risk factors for DC. The receiver operating curve (ROC) was used to analyze the efficacy of blood biochemical indexes and coagulation-related indexes in predicting the occurrence of DC. Results. Multivariate logistic regression analysis showed that male and diabetes were independent risk factors for the occurrence of DC (HR = 19.69, 95%CI: 3.12–124.19, P = 0.002; HR = 7.61, 95%CI: 1.25–46.47, P = 0.03). The results of the ROC analysis showed that the area under the curve (AUC) for the DC predicted by cystatin C was 0.7565 (95%CI: 0.6203–0.8928, P = 0.0018), and the AUC for the DC predicted by blood chloride level was 0.8121 (95%CI: 0.6880–0.9362, P = 0.0002), the AUC for the DC predicted by fibrinogen was 0.7796 (95%CI: 0.6439–0.9152, P = 0.0007), the AUC for the DC predicted by D-dimer level was 0.8740 (95%CI: 0.7812–0.9669, P < 0.0001), and the AUC for the DC predicted by thrombin time was 0.7803 (95%CI: 0.6411–0.9196, P = 0.0007). The AUC for the DC predicted by the combined detection of cystatin C, blood chloride, fibrinogen, D-dimer, and thrombin time was 0.9441 (95%CI: 0.8926–0.9957, P < 0.001). Conclusion. Male and diabetes are independent risk factors for the occurrence of DC. Combined detection of cystatin C, blood chloride, fibrinogen, D-dimer, and thrombin time has a certain value in predicting the occurrence of DC.
A Convolutional Neural Network for Nonrigid Structure from Motion
Authors: Wang Yaming , Peng Xiangyang , Huang Wenqing , Wang Meiliang
Published: April 2022

In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network. Compared with the traditional method for directly solving 3D structures, our model focuses on depth information that is lost owing to projection. This mathematical model is developed using a convolutional neural network with three modules for integration, reconstruction, and optimization, as well as two prior-free loss functions. The proposed RONN achieves competitive accuracy on several tested sequences and high visual quality of various real video sequences.
Agrimonia pilosa: A Phytochemical and Pharmacological Review
Authors: Jin Tianyu , Chi Li , Ma Chongyang
Published: April 2022

Agrimonia pilosa Ledeb., which belongs to Agrimonia and Rosaceae, is used in traditional Chinese medicine. It exhibits excellent medicinal properties and has been used to treat various diseases, such as tumors, trichomoniasis, vaginitis, diarrhea, and dysentery. Phytochemical studies have revealed that Agrimonia has over 100 secondary metabolites that can be categorized into six classes, i.e., flavonoids, isocoumarins, triterpenes, phloroglucinol derivatives, tannins, and organic acids. This review summarizes recently published literature on the chemical structures of 90 bioactive compounds that have been identified in A. pilosa and examines their pharmacological properties, including their antitumor, anti-inflammatory, antioxidant, antibacterial, and antidiabetic properties, as well as the potential development of parasitic resistance to these chemicals. This review highlights existing knowledge gap and serves as a basis for developing novel preparations of A. pilosa with medicinal value.
A K-Means Clustering Algorithm for Early Warning of Financial Risks in Agricultural Industry
Authors: Li Xue-Tong , Duan Xiao-Hua
Published: April 2022

As the primary industry, agricultural industry is the basis of guaranteeing people’s basic life and national economic development. Agricultural industrial finance/financial is a weak link in the financial system, which seriously hinders the emergence of agricultural scale effect and the improvement in agricultural production efficiency. In order to find the financial risk of agricultural industry in time, this article proposes an agricultural industry financial risk early warning system based on improved K-means clustering algorithm. Because the traditional K-means algorithm is easy to fall into local optimization in the clustering process, the clustering effect is not reliable. In this article, the idea of immune cloning and particle swarm optimization location update is added to the grey wolf optimization algorithm. Grey wolf optimization algorithm and K-means algorithm are combined to solve the problem that K-means algorithm is easy to fall into local optimization. In the experimental part, through comparative verification, it can be found that the prediction performance of this system is superior to other models. Its practical application value is higher. Therefore, choosing this system for early warning of agricultural industry finance can effectively improve the accuracy of early warning and provide guarantee for the economic development of agricultural industry.
(
p
,
h
)-Convex Functions Associated with Hadamard and Fejér-Hadamard Inequalities via
k
-Fractional Integral Operators
Authors: Zhang Xiujun , Farid Ghulam , Demirel Ayşe Kübra , Jung Chahn Yong
Published: April 2022

In this article, generalized versions of the

k

-fractional Hadamard and Fejér-Hadamard inequalities are constructed. To obtain the generalized versions of these inequalities,

k

-fractional integral operators including the well-known Mittag-Leffler function are utilized. The class of (

p
,
h

)-convex functions for Hadamard-type inequalities give the generalizations of results which have been proved in literature for

p

-convex,

h

-convex, and several functions deducible from these two classes.