bluuebunny/crossref_metadata_2025 huggingface dataset:
Affordable Housing with Prefabricated Construction Technology in India: An Approach to Sustainable Supply
Authors: Jain Shubham , Bhandari Harveen
Published: April 2022

The urban housing shortage is very huge and the supply of sustainable affordable housing is a greater challenge in developing nations like India. To fulfill the requirements of this huge urban housing shortage, it is necessary to formulate a system that will be able to supply affordable housing rapidly without compromising sustainability. Prefabricated construction technology (PCT) has the potential to provide significant environmental and economic benefits, hence gaining popularity as a viable alternative solution to on-site construction. There are many debatable issues associated with PCT prevailing among the stakeholders, which are preventing the adoption of PCT. Thus, this research aims to analyze the current scenario of PCT, its potential to supply sustainable affordable housing. It also attempts to address major challenges that need to be addressed with possible recommendations to enable the easy adoption of PCT as an efficient supply method for sustainable affordable housing.
A Comprehensive Study of Various Outlier Detection Approaches
Authors: Roy Ankita , Garg Atul
Published: April 2022

Nowadays, Internet of Things (IoT) and Big Data are the most hyped technologies. Huge amount of real-time data is produced by various inter-linked IoT devices. The main uniqueness of IoT data is its huge data size, high velocity data production, variegated data models, and veracity. But the bulky, complex, and dynamic data produced is onerous for any conventional data tools to capture, store, manage, and analyze. Outlier detection is the major trouble in the unpredicted data being apprehended. The motivation behind this survey is to present the mechanism of outlier detection systems. Extensive literature survey has been done to find out multiple existing techniques for outlier and anomalies detection in numerous fields. This survey also provides taxonomy of various outliers’ detection techniques in detail. At last, the challenges related to adoption of outlier detection are examined.
Automated Pneumonia Detection Method Using Hybrid Semantic Segmentation Network
Authors: M Uma Maheshwari , R Tamilsevi , M Parisa Beham , M Amjath Hasan
Published: April 2022

Pneumonia is a potentially life-threatening condition that causes the air sacs in the lungs to become full of pus or fluid. Pneumonia is one of the lung infection diseases that can sometimes lead to severe or life-threatening illness and even death. Chest X-rays are mainly used for the diagnosis of pneumonia. Early detection of pneumonia is a challenge in the X-ray imaging due to the limited color scheme of X-ray imaging. Another major drawback in the early diagnosis of pneumonia is the human-dependent detection. Thus, it is the need of the hour to diagnose pneumonia at an early stage. Inspired by this issue, in this work, a novel hybrid semantic segmentation network is proposed for early detection and classification of pneumonia. Various performance metrics have been used to analyze the performance of the proposed network. Experimental results prove the efficiency of the hybrid semantic segmentation network compared with the other existing approaches in the recent works.
Quasi-Crystalline Behavior of Imidazolium Based Pure Ionic Liquids Over the Extended Pressure Range
Authors: Sirohi Archana , Dogra Ankit , Singh Devinder P , Upmanyu Arun
Published: April 2022

Based on quasi-crystalline model for liquids, Debye temperature, Bayers number, and Pseudo Gurnasien parameter for three pure Imidazolium based ionic liquids with same anion have been estimated in the elevated pressure range (1.83 MPa -59.59 MPa) and temperature range (298.15 K – 328.15 K). The reasonable values of θD
(~ 48.58 K – 56.30 K) are the evidence of existence of effective Debye temperature and quasi-crystalline state in ionic liquids at elevated pressure whereas slight change in the values of these parameters indicate that molecular motion is more sensitive to increase in pressure rather than increase in temperature in the given ionic liquids under study. Marginal change in the values of Debye temperature, Bayers number, and Pseudo Gurnasien parameter with increase in alkyl change of cation indicate that alkyl chain of cation is not accountable to study the quasi-crystalline behavior of the given ILs in the given pressure and temperature range.
Influence of Social Media on Brand Trust During COVID-19 Through Corporate Social Responsibility Communication
Authors: A Menaga , Vasantha S
Published: April 2022

Social media marketing has gained immense benefit in the digital world. Consumers all over the world are getting the services through this type of platform under one roof. The purpose of the research is to find out influence of social media on brand trust during COVID-19 through Corporate Social Responsibility (CSR). The term corporate communication in social media is also called content marketing. The research highlight whether, during this pandemic situation, there is any change in the brand trust and how the marketers can have an upper edge in the digital competitive market by adopting different CSR practices. For the present study, 403 respondents across India were chosen as a sample frame. The findings of the study reveal the fact that the responsible communication about CSR activities with the help of social media marketing, in particular, will likely influence brand trust among the consumers of FMCG companies in India.
Towards a Systematic Threat Modeling Approach for Wireless Sensor Networks
Authors: Kaur Rajwinder , Sandhu Jasminder Kaur , Pundir Meena , Singh Gurjinder , Mehta Aina
Published: April 2022

Wireless Sensor Networks (WSNs) have attracted the research fraternity due to the prevalent use of this technology in various domains such as health, automation, and the military. The WSN consists of numerous sensor nodes deployed randomly. As these networks are deployed in a real-world scenario, security and privacy are of utmost concern. Security protects the wireless network against an adversary. Firstly design the security, identification of security threats, the security design for suggestive countermeasures is designed. Threat and attack modeling are well-known techniques for designing appropriate security solutions. Threat modeling helps in the identification of dangers that might lead to security compromise. Attack modeling includes an understanding of the threat and will help in designing the proper mitigation mechanism. This article focuses on various threat modeling approaches for identifying the threat. Finally, the article concludes with the comparative analysis of various approaches such as STRIDE, DREAD, PASTA, TRIKE.
Sensor Based Wearable Devices for Road Navigation
Authors: Tyagi Noopur , Singh Jaiteg , Singh Saravjeet
Published: April 2022

Internet of Things (IoT)-based applications play a significant role and are highly influenced by the global positioning system (GPS). GPS has a wide range of applications and benefits in tracking and route finding. A GPS tracker can help to explore numerous possibilities in various domains such as the health field, safety (to protect various assets), pattern recognition, logistics, in business models by using navigation systems embedded with sensors, and many more. Smart IoT wearable devices are the next step of evolution in the field of navigation using visual, auditory, ultrasonic, and other technologies. This paper introduces the various IoT sensors used in navigation systems and some prominent existing applications. This paper also provides a survey of existing wearable devices and concludes that the correct choice of sensors can easily overcome the challenges of navigation.
Influence of GGBS and Alkaline Ratio on Compression Strength of Geopolymer Concrete
Authors: Kumar Kiran , Srinivasu Kota
Published: April 2022

This research aims to study the effects of source materials and different concentrations of NaOH on the strength characteristics of GPC. This study examines the compressive strength of specimens for two different binders 360 and 400 kg/m3 (replacing flyash with GGBS with 70-30, 60-40, and 50-50) with different A/B ratios (0.45 and 0.5) in line with an alkaline solution made of NaOH and Na2Sio2 and specimens were cured for 7 and 28 days (outdoor curing and oven curing at 60°C for 24 hours). Overall, 144 cubes were cast to determine the compressive strength and workability of GPC. The findings have shown that increase of GGBS content decreases workability and improved strength with appropriate strength may be produced by utilizing fly ash and GGBS combination in the outdoor curing. Though oven curing attains maximum strength, it is not possible to cure specimens under oven curing in real-time applications.
K.C.S. Paniker's Words and Symbols: A Formalist Approach
Authors: Singh Laishram Samson , Deka Mousumi
Published: April 2022

Formalism developed from the 19th century aesthetic of “Art for art’s sake.” The Formalist exponents believed in the evaluation of a artwork solely based on its form rather than its content. They reacted to an artwork on its formal and aesthetic qualities. Understanding the depth of Formalism is crucial in appreciating modern abstract art both of the West as well Indian. K. C. S. Paniker, being one of the most important figures in the abstractions of post-independence India, and had many influences from western artists, although he always maintained his Indian identity in his works. His series of ‘Words and Symbols’ is one of his most important contribution to modern Indian art in which he was interested in the formal structure of the ancient Indian texts and symbols. Therefore, this paper aims at understanding the more complex nature of Formalism and how that can be used to reassess Paniker’s works.
Study of Factors Causing Workplace Incivility
Authors: Sao Ruchi , Chandak Shravan , Bhadade Pritam
Published: April 2022

Workplace incivility can be best explained with the help of the incivility continuum which ranges from negative behavior to physical aggression. This study is an effort to identify the various factors affecting the workplace incivility of employees working in sales department in the banking and financial sector. Sample size used for the study is 340. The study draws a connection among variables affecting workplace incivility. Four factors were arrived at after conducting factor analysis are manager, colleagues, clients and working environment.
Role of Glucokinase Enzyme in the Treatment of Type 2 Diabetes
Authors: Sharma Prateek , Grewal Ajmer Singh , Sharma Neelam , Singh Sukhbir
Published: April 2022

Diabetes mellitus is a condition that affects people all over the world, and the rate at which the number of diabetes patients grows puts medical professionals under a lot of pressure to manage it efficiently. Because of its polygenic origin and various genes' participation in its pathophysiology, understanding this disease is more difficult. Current therapies, including as dietary adjustments, lifestyle changes, and pharmacological therapy such as insulin, appear to be ineffective in reversing the trend. There are a number of targets that the researchers are focusing on in order to properly tackle this disease. One of the novel and growing targets is glucokinase (GK). Because it's found in pancreatic and liver cells, it's a more appealing target. The presence of GK in pancreatic and hepatic cells plays an important role in glucose homoeostasis regulation. In the cells of the pancreas and the liver, it serves as a “glucose sensor” and a “glucose gate keeper.” In T2DM patients, small compounds that activate GK give an alternate option for restoring/improving glycemic homeostasis. This review explains the various aspects of the glucokinase enzyme that are helpful for maintaining this disastrous disease in a well and efficient manner as comparison to other targets.
Measurement of Lumbar Lordotic and Lumbosacral Angle in Patients with Chronic Low Back Pain
Authors: Sharma Mohit , Kaushik Chanchal , Panwar Priti
Published: April 2022

The investigation intended to quantify lumbar lordotic and lumbosacral Angle (LLA) in patients with lower back pain. The examination was completed on 54 patients with chronic low back pain, in a multispecialty hospital in India, over a period of 6 months for lumbosacral lateral radiographs. The lumbar lordotic angles were measured by Ferguson's technique. The age group ranged from 21-65 years with the weight range of 33 to 88 kg, height range of 133 to 182 cm, and BMI range of 15.2 to 36.6 (Kg/ m2). The mean weight, height, and BMI were 59.8 kg, 159.1 cm, 23.7 kg/m2 respectively. The overall range of peak kilovoltage was 60 to 75 kVp. The mAs range was 53 to 78. The mean lumbar lordotic angle (LLA) of the study population was 50.1 degrees with a range of 23 to 68 degrees.
Mapping the Pattern and Development of Printmaking Art: Its Sociological Impacts
Authors: Nikumbh Prasad Sunil , Sarkar Saroj K.
Published: April 2022

A world without printed matter is hard to envision. Onlookers of printmaking may observe the kernel of printed material and its consequences moving around books, magazines, papers, prints of renowned artworks, and ordinary things, for example, theatre programs, official handouts, journals, ads, and film banners. Printed text, pictures, news, and public discussion all influence the lives of art-enthusiastic people to understand the chronological development of print on paper. Remembering the fact that researchers of printmaking frequently neglect to recall that there was a period before printed material, our universe of print is everywhere. It will enable art researchers to analyze the improvement of print in this part, beginning with its initiation in East Asia and later investigating its development in Europe and India, and the effect of the spread of innovation on the way of life and social connection of mankind. The present study is based on an observation of the print inventions and a critical analysis of print techniques by the painter and printmaker Raja Ravi Varma and his lithograph and oleograph prints and their impacts on society.
Interpreting Morphology of Urban Open Spaces at Neighborhood Level, Patiala, Punjab
Authors: Singh Manmohit , Turna Niva
Published: April 2022

In the diverse urban fabric of cities, the spaces get limited for future use and development. It is our responsibility to use the urban space for its best purpose. Every urban space has its own identity as per its psychology and character etc. Through the historical perspective urban open space transforms due to change in activities and technology. Open spaces are deteriorating day by day due to overuse, wrong use, least use, and various other evils of society. Urban open spaces (UOS) are diverse as per the diverse religion and culture (1). Various morphological determinants define the sense of place (2). UOS cannot be defined without built mass and its enclosure (1). The web of UOS and its activities helps to construct the urban structure of the city. With the involvement of the social groups, local people, and government, we can regenerate and reactivate urban open spaces.
Chemically Synthesized ZnO-WO3 Nanoparticles as Electron and Hole Transport Layer in Organic Solar Cells
Authors: Mahajan Prerna , Ahmed Aamir , Datt Ram , Gupta Vinay , Arya Sandeep
Published: April 2022

In this study, ZnO-WO3 nanoparticles are prepared by sol-gel technique. Various characterization techniques have been utilized for studying morphological, optical, as well as structural properties of the synthesized nanostructures. Two sets of inverted organic solar cells have been constructed by the chemically synthesized ZnO-WO3 nanoparticles as electron transport layer (ETL) and as hole transport layer (HTL) and the solar cell characteristics were examined. The first solar cell (device A) employing ZnO-WO3 as ETL was fabricated with configuration ITO/ZnO/ZnO-WO3/PTB7-Th:PC71BM/MoO3/Ag, while the other solar cell (device B) employing ZnO-WO3 as HTL was fabricated with structure ITO/ZnO/PTB7-Th:PC71BM/ZnO-WO3/MoO3/Ag. In comparison to the device A with ZnO-WO3 as ETL, a remarkable improvement is seen in device B with ZnO-WO3 as HTL. An efficiency of 1.88% is observed in device B in comparison to the efficiency of 0.64% in device A. The results suggest that ZnO-WO3 nanoparticles have great potential in photovoltaics.
Effects of Social Media on Consumer Behaviour for Tourism Products
Authors: Sharma Nitin , Singh Jashandeep
Published: April 2022

The study helps to investigate the relationship between social media and consumer behavior regarding tourism products. Every consumer is using social media and they are getting information from online media and social sites. Communication through online media and social applications is getting easy and less expensive. Social media affects customers’ purchasing behavior. Electronic word of mouth is also a part of social media that influences consumers’ decision process. This is a review paper that helps to understand information sharing in social media in the tourism industry. This paper helps to understand the effects of information-based social applications and online media on consumer behavior in tourism sector and also identify the most important variable which influences consumer behavior in tourism.
Optimization of Machine Learning and Deep Learning Algorithms for Diagnosis of Cancer
Authors: D Hari Krishna , M Anand , D Saravanan , K Pushpalatha
Published: April 2022

Machine learning and artificial intelligence has recently become a prominent technology. Given its popularity and strength in pattern recognition and categorization, many corporations and institutions have begun investing in healthcare research to improve illness prediction accuracy. Using these strategies, however, has several drawbacks. One of the primary issues is the lack of huge datasets for medical pictures. An introduction to deep learning in medical image processing from theoretical foundations to real-world applications. The article examines the general appeal of deep learning (DL), a collection of computer science advances. The next step was to learn the basics of neural networks. That explains the use of deep learning and CNNs. So we can see why deep learning is rapidly advancing in various application fields, including medical image processing. The goal of this research was to use innovative methodologies on cancer datasets to explore the feasibility of combining machine learning and deep learning algorithms for cancer detection. This study used text and picture databases to classify cancer. This article provides optimization methods that outperform the suggested approaches' accuracy. Using two alternative training methods, Levenberg Marquardt (lm) and Resilient back propagation (rp), two classification algorithms were evaluated with different groups of neurons to identify benign and malignant patients. Cascade correlation utilizing the train (rp) outperformed feed forward back propagation using the train (lm). The second deep neural network model presented a technique (based on CNN) for automated brain tumor identification using MRI data.
The Role of `CLIL Integrated Mental Math Enhancement Technique’ in Mathematical Reasoning Abilities of Secondary School Children
Authors: Bairy Shailaja , Inamdar Neeta
Published: April 2022

This action research is anchored on exploring a teaching method that innovatively blends 'mental math enhancement techniques' with David Marsh's CLIL (Content and Language Integration in Learning) pedagogy. Both these stand as fundamental factors and profoundly influence the quality of mathematics learning. The decline in mathematical reasoning abilities of students has become a growing concern over the years. This research makes an effort towards addressing this by strengthening the basic mathematical concepts with the help of above method. The study aimed at investigating the effectiveness of the program by determining if there is (a) a difference in pre- and post-test scores. (b) significant increase in student attitude towards mathematics, (any change in self-concept and attitude before and after the program) 116 students of Grade 6, 7, and 8, divided into groups through stratified sampling participated in the weekly arithmetic sessions, daily quiz activities, math communications/ number talks, and language integrated CLIL sessions. This `curriculum-integrated research’ employed experimental method using pre-test & post-test experimental group design. The results revealed that the CLIL integrated/ mental math enhancement technique significantly improved the mathematical reasoning abilities in a particular class. The attitudes towards the subject also proved to rely positively on mathematical performance and vice versa.
Emerging Prospective of Phytomolecules as Antioxidants Against Chronic Diseases
Authors: Dhir Vivek
Published: April 2022

The unstable and highly reactive free radical contained an unpaired electron in a nuclear orbital, which are generated inside the body by strong impact of UV light, ionizing radiation, smoking, air pollution, injury, and inflammation. The free radicals produce oxidative stress which plays a role in inflammation, ageing, diabetes, obesity, cancer, cardio vascular, skin and neurodegenerative disorders via disturbances in levels of various biomarkers. The free radicals are killed by an antioxidant thought oxidation of different atoms, thus, protects DNA from harmful impact. Antioxidant defense, which comprises both endogenous and exogenous chemicals, protects biological systems against free radical toxicity. Many foods and medicinal plants contain antioxidant phytomolecules, which have an essential role in the mitigation and treatment of chronic disorders, such as inflammation, cancer, diabetes, ageing, cardiovascular issues, etc. induced by oxidative stress.
Does Interdisciplinary Curriculum Improve Creativity? A Model Proposed for Health Sciences Education
Authors: Srinivasan Maheswari , Sood Parul
Published: April 2022

A creative idea leads to innovation. Innovation brings new solutions to real-life problems. If it solves significant problems in people's life it generates revenue. Hence the innovation is a key to a country's economic growth. Our education system gives much importance to marks. Both teaching and learning are only oriented towards the examination. Our systems have rigid rules which gives less importance to personal creativity. Studies say that creativity may not be an innate trait and it can be triggered with well-defined pedagogical approaches. One such method is integrating curriculums. The interdisciplinary method of education is widely studied in various countries. It has been said that interdisciplinary education triggers the creativity of a student. (1–4) This paper reviews the method of integrating the curriculum. We propose a model for integrating the curriculum for health science students with technological advancements which can lead them to innovation.
Ecological Engineering System Using Floating Macrophytes for the Treatment of Domestic Wastewaters
Authors: Selvaraj Dharanidharan , G Velvizhi
Published: April 2022

Water scarcity is a global issue due to the rapid increase in population and overexploitation of resources, which endures an imbalance between availability and demand of bluewater footprint. As a part of the Sustainable Development Goal (Goal 6: Clean Water and Sanitation), the present study designs an Ecologically Engineered System (EES) in this context. The SDGs goals were developed and had the targets for restoring and maintaining ecosystems to provide water-related services and prevent water scarcity problems. The targets indicate the need to integrate ecosystem values into planning, development processes, and strategies for reducing water scarcity. A semi pilot EES was designed with three tanks setup such as floating macrophytes (water hyacinth tank 1), submerged plants (water thymes tank 2), and emergent plants (water lettuce tank 3). The reactor was operated using domestic wastewater in a continuous mode with a flow rate of 20 l/d. Treatment performance was monitored in terms of COD, nutrients, sulphates, turbidity, etc. The study infers that after several cycles of operation, the system was well-optimized for wastewater treatment. Enhanced COD removal efficiency of 71% was observed in addition to other pollutants. The study hypothesized that EES could be an effective strategy to restore the water bodies.
Dual Modulation of IL-6 Pathway by Flavonoid Metal Complex as Immune Boosters for SARS-CoV-2 Therapy
Authors: Krishna Swaroop Akey , M Esakkimuthukumar , S.K Patnaik , P Vasanth , M.R Jeyaprakash , N Jawahar , S Jubie
Published: April 2022

It is observed that Cytokine Release Syndrome (CRS) is one of the major causes of the death of several COVID-19 patients. Though several cytokines are involved in CRS, IL-6 modulation plays a major role. We aim to develop new flavonoid metal complexes as immune boosters targeting IL-6 for SARS-CoV-2 treatment. To find potential flavonoids, PyRx 0.9 tool has been used to dock 152 secondary plant metabolites against IL-6 (PDB ID: 1ALU). The top scorer flavonoid (quercetin) was made into quercetin zinc ascorbic acid metal complex (QM-1). The in-vitro hemolytic research revealed a modest hemolytic effect in the QM1 metal complex. To control the IL-6 inhibitory potential, the QM1 complex was screened for cytotoxicity in cell lines MCF-7 which predominantly expresses the IL-6 level. The cytotoxic effects of the QM1 complex were considered relative to the marketable Nutridac formulation. The complex quercetin-zinc-ascorbic acid (QM1) significantly affected MCF-7 cells in concentrations 48.54 μg/mL, respectively.
Mapping a Sustainable Future Through Conceptualization of Transformative Learning Framework, Education for Sustainable Development, Critical Reflection, and Responsible Citizenship: An Exploration of Pedagogies for Twenty-First Century Learning
Authors: Alam Ashraf
Published: April 2022

This research examines how transformative learning has been conceptualized and operationalized in education for sustainable development (ESD) and sustainability learning, and gathers evidence on how to promote transformative learning in formal and non-formal settings. The author performed a systematic literature review to create a bibliometric overview that combines a quantitative description of the body of literature with a qualitative study of the learning processes, results, and circumstances. The current investigation shows that transformative learning theory may help in designing and implementation of educational interventions and evaluations of learning towards sustainability by analyzing the learning process, results, and circumstances in the core sample of studies. This systematic review allows for a better understanding of how transformative learning theory’s concepts and mechanisms are operationalized in sustainability learning and ESD research, and it serves as a source of encouragement for researchers and practitioners working to make sustainability education, teaching, and learning more transformative.
A Structural Framework for Smart Cities Evaluation
Authors: Batra A , Chhabra P
Published: April 2022

A smart city is emerging as a strategy to the issues caused by rapid urbanization and urban population growth. Despite the fact that cities continue to grow and improve their economic, social, as well as environmental objectives, a minimal study has been conducted on this topic. Due to an urgent need for smart city concepts to be applied, stakeholders have gained a better understanding of how their city is performing today. As a result, establishing a structural framework for smart city evaluation is essential to communicate emerging shortcomings and strengths, highlighting areas of genuine development. This research provides a useful tool to assist assess the relative success of smart cities, based on the exploration of an enormous as well as a broad range of literature from many academic fields and on the conceptual literature. Moreover, it is crucial to consider the evaluation extent of smart cities.
A Novel Microstrip Based Band Reject Filter for Biomedical Sensing Application
Authors: Murali Arjun B , K.A Ansal
Published: April 2022

Design of a microfluidic sensor for biomedical application is proposed. This work investigating the feasibility of microstrip based microfluidic sensor for biomedical applications. The proposed microstrip based sensor is designed utilizing Rogers RO3003 substrate with a dielectric constant of 3, a loss tangent of 0.0013, and dimensions being 27 x 13 x 1.27 mm3. ANSYS HFSS version 21 is used to analyze the structure's performance. The designed structure has return losses of -37.37 dB, -44.98 dB, and -32.36 dB at 4.58 GHz, 5.57 GHz, and 6.63 GHz, respectively. To achieve clear findings, employed periodicity in the structure and established an electromagnetic band gap to increase sensitivity. It has practical applications in the design of systems that process to achieve multiplexing, estimation, automation, and high-throughput screening.
A Blend of Analytical and Numerical Methods to Compute Orthogonal Image Moments over a Unit Disk
Authors: Singh Manoj K. , Kumar Sanoj , Bhatnagar Gaurav , Saini Deepika , Ali Musrrat , Sharma Chandra Mani , Sharma Navel
Published: April 2022

Accurate image moment computation is critical because they are used in a variety of fields, including image reconstruction and object recognition. Orthogonal polynomials are frequently used to compute moments due to their numerous intersecting and important theoretical properties. In polar coordinate systems, orthogonal polynomials such as the Polar Harmonic Fourier Transform (PHFT) and Polar Harmonic Transformation (PHT) are defined. However, the images are defined by a Cartesian coordinate system. To obtain image moments, a double integration over a unit circle over the product of the PHFT or PHT and the image function must be performed. The choice of double integration techniques and domain for the double integral has a significant effect on the precision of the computed moments. We have proposed a method for using the entire unit circle as an integration domain in this study, for image reconstruction. We used the PHFT and PHT to apply this technique to computing moments for the reconstruction. The proposed method outperforms other state-of-the-art methods, including Gaussian quadrature numerical integration method (GQM) and zeroth order approximation (ZOA) on variety of scenarios using three benchmarked image sets. We have demonstrated experimentally that this technique significantly improves the accuracy of image moments in higher order moments, as measured by reduced mean squared error (MSE). Additionally, the proposed method significantly improved the moment’s rotational (an improvement of 1-3% as compared to GQM and an improvement of 37-93% as compared to ZOA) and scaling invariance (an improvement of 0-500% as compared to GQM and an improvement of 3-7000% as compared to ZOA).
Design of Enterprise Financial Information Management System Based on Blockchain Technology
Authors: Lu Yuanling , Wang Yan , Chen Rui
Published: April 2022

According to the development of information technology, a large amount of data information has been increasing, especially financial information. There are many acts of fraud, which makes it impossible to trace the data sources of enterprise financial information and relevant personnel. According to the fact that most staff are unable to complete accurate queries on the required financial statements, there are serious problems of nonstandard behavior and lack of key information in the financial statements of these enterprises. Because many comparable challenges have not been handled adequately, it has always made financial information management more complex for businesses, posed a threat to the whole industry's ecosystem, and harmed the interest of many stakeholders, among other things. Due to the qualities of blockchain, such as centralization, anonymity, trustworthiness, and willfulness, which make information difficult to forecast and tamper with, blockchain has gotten a lot of attention in recent years, and bitcoin and other digital currencies have grown popular. Because these characteristics are related to the information storage security and information transmission speed required by enterprise financial information management, blockchain has become a new idea to solve problems related to enterprise financial information management, according to current application and exploration. The overall management system incorporating blockchain technology is created in detail with the financial management system architecture and data processing scheme provided by blockchain technology in order to build an open and secure transmission mechanism for blockchain data. Moreover, it also integrates the encryption technology of the combination of symmetric key and asymmetric key and fast and secure data access control.
Fault Tolerant Partition Resolvability in Convex Polytopes
Authors: Nadeem Asim , Kashif Agha , Bonyah Ebenezer , Zafar Sohail
Published: April 2022

Convex polytopes are special types of polytopes having an additional property that they are also convex sets in the n-dimensional Euclidean space. The convex polytope topologies are being used in the antitracking networks due to their stability, resilience, and destroy-resistance. The metric related parameters have been extensively studied in the recent times due to their applications in several areas including robot navigation, network designing, image processing, and chemistry. In this article, the sharp bounds for the fault tolerant partition dimension of certain well-known families of convex polytopes Rn, Qn, Sn, Tn, and Dn have been computed. Furthermore, we have studied the graphs having fault tolerant partition dimension bounded below by 4.
Intertwined Relation between the Endoplasmic Reticulum and Mitochondria in Ischemic Stroke
Authors: Peng Jianhua , Ghosh Dipritu , Pang Jinwei , Zhang Lifang , Yin Shigang , Jiang Yong
Published: April 2022

In ischemic stroke (IS), accumulation of the misfolded proteins in the endoplasmic reticulum (ER) and mitochondria-induced oxidative stress (OS) has been identified as the indispensable inducers of secondary brain injury. With the increasing recognition of an association between ER stress and OS with ischemic stroke and with the improved understanding of the underlying molecular mechanism, novel targets for drug therapy and new strategies for therapeutic interventions are surfacing. This review discusses the molecular mechanism underlying ER stress and OS response as both causes and consequences of ischemic stroke. We also summarize the latest advances in understanding the importance of ER stress and OS in the pathogenesis of ischemic stroke and discuss potential strategies and clinical trials explicitly aiming to restore mitochondria and ER dynamics after IS.
Cost-Utility Analysis of STN1013001, a Latanoprost Cationic Emulsion, versus Other Latanoprost Formulations (Latanoprost) in Open-Angle Glaucoma or Ocular Hypertension and Ocular Surface Disease in France
Authors: Lazzaro Carlo , van Steen Cécile , Aptel Florent , Schweitzer Cédric , Angelillo Luigi
Published: April 2022

Purpose. To investigate the cost utility of STN1013001, a latanoprost cationic emulsion, versus Latanoprost in patients with open-angle glaucoma or ocular hypertension (OAG/OHT) and concomitant ocular surface disease (OSD) in France. Methods. An early Markov model, including 7 health states and a 1-year cycle length, was developed to estimate the cost utility of STN1013001 versus Latanoprost from the French health system perspective over a 5-year time horizon. The model was populated with pooled data (treatment adherence, quality of life, disease progression, and resource utilization) collected, via a questionnaire, from a convenience sample of 5 French glaucoma specialists. Remaining data were retrieved from published sources. Half-cycle correction and 2.5% real social discount rate were applied to costs (in €2020), life years saved (LYS), and quality-adjusted life years (QALYs). The incremental cost-utility ratio (ICUR) was contrasted against the informal willingness-to-pay (WTP) range for incremental LYS or QALY gained (€30,000–€50,000) suggested for France. One-way and probabilistic sensitivity analyses tested the robustness of the baseline ICUR. Results. Over a 5-year time horizon, STN1013001 resulted in an incremental 0.35 QALYs gained at an incremental cost of €7.39 compared to Latanoprost, resulting in an ICUR of €21.26. This is well below the lower limit of the unofficial WTP range proposed for France. Sensitivity analyses confirmed the robustness of the baseline results. Conclusion. Once on the market, STN1013001 will provide the French health system with a cost-effective treatment versus Latanoprost for OAG/OHT + OSD patients. These results should be confirmed by future economic evaluations carried out alongside empirical trials.
Stress Performance Evaluation of Shield Machine Cutter Head during Cutting Piles under Masonry Structures
Authors: Peng Fei , Ma Shiju , Li Mingyu , Fu Kui
Published: April 2022

In the construction of the metro, the development and operation of large‐scale underground space in the city cause the construction of metro tunnels near the original underground structures, and the complex environment for passing structures at close range has increased significantly. Comparing the actual load data of the actual project with the data obtained with the proposed new method, it is proved that the predicted load range corresponds essentially to the measured average curve of the project, which is commonly used with the experimental load formula. Subsequently, the load calculation method is used to guide the construction of the composite base of the protective cutting pile of one of the Zhengzhou metro lines under the existing masonry structure. Based on the existing building damage grade evaluation standards, the professional house inspection agency checked the intersection of the tunnel and the building space and realized that the main structure of the house during the tunnel construction process would be still safe; thereby, Zhenghe Community Building 1# can be used normally after partial repairs.
Time-Like Sweeping Surfaces with a Bishop Frame in the Minkowski 3-Space

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Authors: Nazra Sahar H. , Abdel-Baky Rashad A.
Published: April 2022

In this paper, we consider a time-like sweeping surface and its local singularities with Bishop frame in Minkowski 3-space

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. Subsequently, we derive the sufficient and necessary conditions for this surface to be spacelike developable ruled surface. In particular, we mainly focus on the study for the resulting spacelike developable surface is a cylinder, cone or tangent surface. Finally, some representative curves are chosen to construct the corresponding spacelike developable surfaces.
Feasibility and Tolerance of Apatinib plus PD-1 Inhibitors for Previously Treated Advanced Gastric Cancer: A Real-World Exploratory Study
Authors: Li Li-Hua , Chen Wen-Chao , Wu Gang
Published: April 2022

Background. Apatinib is established to be the standard of care as third-line therapy for patients with previously treated advanced gastric cancer (GC). Programmed cell death protein 1 (PD-1) blockades also exhibited promising efficacy and safety for patients with treatment-refractory advanced GC. Objective. This study was to explore the feasibility and tolerance of apatinib plus PD-1 inhibitors for patients with previously treated advanced GC. Methods. This study was performed as a real-world study; patients with advanced GC who were treated with previous systemic chemotherapy were screened retrospectively. Eligible patients were administered with apatinib combined with PD-1 blockade treatment. Efficacy of the patients was assessed with the change of target lesion using radiological evidence according to RECIST 1.1 criteria, and follow-up was carried out regularly. A safety profile was collected and documented during the combination treatment. Univariate analysis based on baseline characteristic subgroup was implemented in univariate analysis to identify the potential factor that might contribute to progression-free survival (PFS). Results. Between August 2018 and October 2021, a total of 39 patients with advanced GC or gastroesophageal junction adenocarcinoma participated in this study consecutively and all the patients were available for efficacy and safety assessment. The best overall response during apatinib plus PD-1 blockade administration exhibited that PR was observed in 8 patients, SD was noted in 19 patients, and PD was found in 12 patients, which yielded an ORR of 20.5% (95% CI: 9.3%-36.5%), and DCR was 69.2% (95% CI: 52.4%-83.0%). Furthermore, the relatively enough follow-up had resulted in the mature PFS and overall survival (OS) data, suggesting that the median PFS of the 39 patients with advanced GC was 3.9 months (95% CI: 2.74-5.06). Additionally, the median OS of the 39 patients with advanced GC was 7.8 months (95% CI: 4.82-10.78). Furthermore, the most common adverse reactions of the 39 patients who received apatinib plus PD-1 blockades treatment were fatigue (61.5%), nausea and vomiting (56.4%), diarrhea (48.7%), hypertension (46.2%), hand-foot syndrome (38.5%), and rash (28.2%). Furthermore, performance status was independently associated with PFS of apatinib plus PD-1 inhibitor combination administration in baseline characteristic subgroup analysis. Conclusion. Apatinib plus PD-1 inhibitors exhibited promising effectiveness and acceptable tolerance for previously treated advanced GC preliminarily. And this conclusion should be confirmed in clinical trials in the future.
Identification of Potent Bioassay Guided Terpenoid and Glycoside Root Fractions of Astragalus candolleanus against Clinically Significant Bacterial Strains
Authors: Nagarajan Kandasamy , Ghai Roma , Varshney Garima , Grover Parul , Genovese Carlo , D’Angeli Floriana , Goel Richa , Prasad Thota , Kalaivani Muthusamy , Teotia Anil Kumar
Published: April 2022

Antibiotic resistance represents one of the biggest challenges, and there is an urgent need for plant-based antimicrobial agents that enable managing this crisis effectively. In this work, we aimed to investigate the antibacterial activity of Astragalus candolleanus (A. candolleanus) hydromethanolic root extract against Gram-positive (Bacillus subtilis and Staphylococcus aureus) and Gram-negative (Escherichia coli, Salmonella typhimurium, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Kocuria rhizophila) strains by the cup-plate method. The root was powdered and extracted with 70% methanol by cold maceration for 5 days. Preliminary phytochemical screening was performed with different solvents in the order of increasing polarity. Pure compounds were isolated by column chromatography and were characterized through liquid chromatography-mass spectrometry. Targeted predictions of the isolated compounds were also studied using Swiss Target prediction software and prediction of activity spectra for substances. The extract showed a broad zone of inhibition against pathogenic bacteria. Four pure compounds were isolated, of which a novel terpenoid compound has been identified as stemmadenine along with scillirosidin, cephalotaxine, and myxoxanthophyll. The structures of the isolated phytoconstituents were elucidated by spectral analysis. The four pure components isolated from the roots of A. candolleanus are suggested to be effective against tested pathogens. Overall results of drug design suggest that myxoxanthophyll is a promising bioactive compound endowed with antibacterial activity.
A New Extension of the Exponentiated Weibull Model Mathematical Properties and Modelling
Authors: Badr Majdah Mohammed , Badawi Amal T. , Alzubidi Alya S.
Published: April 2022

Recently, several writers have extended the exponentiated Weibull distribution. The five-parameter exponentiated Weibull-exponentiated Weibull (EW-EW) distribution is introduced. In terms of fit, the EW-EW distribution outperforms the EW distribution. Some EW-EW distribution features, such as precise formulas for ordinary moments, quantile, median, and order statistics, are found. Model parameters were estimated using the maximum likelihood technique (ML). The behavior of the various estimators was investigated using a simulated exercise. A medical dataset was utilized to evaluate the practical importance of the EW-EW distribution using additional criteria such as the Akaike information criterion (AKINC), the correct AKINC (COAKINC), the Bayesian INC (BINC), and the Hannan-Quinn INC (HQINC). In terms of performance, we show that the EW-EW distribution beats other models.
A Novel Overall Survival Nomogram Prediction of Secondary Primary Malignancies after Hypopharyngeal Cancer: A Population-Based Study
Authors: Wan Meng , Zhao Dan , Sun Yan , Wang Weihu
Published: April 2022

Objectives. We aimed to construct a nomogram for predicting the overall survival (OS) of patients with secondary primary malignancies (SPMs) after hypopharyngeal cancer (HPC). Methods. 613 HPC patients were included in the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2018, which were divided into training and validation cohorts. The least absolute shrinkage and selection operation (LASSO) and stepwise Cox regression were used to determine the variables by which a nomogram model was established. Results. After the LASSO and stepwise Cox regression analysis, the age, year of diagnosis, sites of SPMs, SEER stage of SPMs, surgery for SPMs, and radiotherapy for SPMs were included for model establishment. The ROC curve showed good discrimination for the 3- and 5-year AUC values in the training (0.774 and 0.779, respectively) and validation (0.758 and 0.763, respectively) cohorts. The calibration curve indicated good prognostic accuracy, especially in the 5-year survival prediction for this model. The DCA also demonstrated clinical efficacy over a wide range of threshold probabilities. Lastly, the risk group classified by the individual nomogram values showed significantly different survival outcomes in both training and validation cohorts. Conclusions. We constructed a nomogram to predict the OS of SPMs after HPC with good clinical values.
Nonlinear Influence of Commute Time Tolerance Threshold on Commute Mode Choice Based on the Semicompensatory Model
Authors: Yang Jiankun , He Min , He Mingwei
Published: April 2022

The tolerance threshold of commute time (TTCT) reflects the longest commute time that commuters can tolerate from home to the workplace. When the commute time exceeds the TTCT, the commuting utility significantly reduces, which has a nonlinear influence on commuting mode choice. To reveal the nonlinear relationship between the commuting utility and commute time, the TTCT is introduced to constrained multinomial logit (CMNL) model based on the semicompensatory decision-making mechanism. In addition, an empirical study is carried out on 405 commuters in Kunming, China. The results show that the CMNL model has a higher fitting accuracy than the MNL model, which indicates that the TTCT is a significant explanatory variable for the commuting mode choice. Moreover, the commuting utility does not decrease linearly with the commute time. An appropriate commute time range (about 5–25 min) could bring positive commute utility to the commuters, but the commute utility is negatively impacted when the commute time is larger than the TTCT. Therefore, it is necessary importing the TTCT in the utility function to improve the predictive power of the commuting mode choice model.