bluuebunny/crossref_metadata_2025 huggingface dataset:
Allelopathic potential of Artemisia herba-alba and Anthemis arvensis to control Weeds in Wheat (Triticum aestivum) and Barley (Hordeum vulgare)
Authors: Al Harbi Nadi Awwad
Published: August 2021

The aim of the present study was to investigate the potentials for utilization of Artemisia herba-alba and Anthemis arvensis shoot aqueous extract at different concentrations (1%, 3%, and 5%) to suppress the germination and growth of Panicum turgidum and Portulaca oleracea (weeds of crop fields) in Petri dish experiment. Results indicated that the degree of inhibition on seed germination and growth of the recipient species was largely dependent on the concentration of A. herba-alba and A.arvensis shoot aqueous extract. The aqueous extract of A.herba-alba showed the highest allelopathic effect on the germination of the seeds of P. turgidum, (10%,10% and 0%) while the effect of A. arvensis shoot aqueous extract was greater on the germination of the seeds P. oleracea (40%,0% and 0%). Percentage germination of the two selected crop species Triticum aestivum and Hordeum vulgare also de-creased as the A.herba-alba and A.arvensis shoot aqueous extract concentra-tion increased from 1% to 5% (90%,80% and 70%),(40%,40% and 20%). But the inhibition percentage was largely less than that of weed species. The results also showed that H.vulgare was more sensitive than T. aestivum and responds more strongly to the increase of concentration of A. herba-alba shoot aqueous extract . Results also showed that the radicle length of almost all tested species was more sensitive to allelochemicals from A.herba-alba and A.arvensis shoot aqueous extract than plumule length. Therefore, A. herba-alba and A. arvensis shoot aqueous extract may offer promises for their usefulness as a tool for weed management.
Scanning Electron Microscopic Surface Study of Adhesive organ of Garra gotyla gotyla (Gray)
Authors: Sharma M. S. , Sharma K. C.
Published: August 2021

An attempt to study the adhesive organ of Garra gotyla gotyla inhabiting hill streams of Aravalli region has been made using scanning electron micro-scope. The results were compared with that of scanning electron microscop-ic studies of the adhesive organ of G. gotyla gotyla of the Himalayan region. The SEM study reveals that the upper fringed lip (UFL)and the lower lip or the posterior free labial fold (PFLF) bears short stub shaped tubercles (ST). These tubercles in turn bear numerous spines (S). The tubercles are covered with squamous epithelium (SE) indicating that spines are modified squamous epithelial cells. The margins of stub-shaped tubercles bear smaller spines; their size increases from margin to the centre. The surface ultrastructure of the adhesive disc of G. gotyla gotyla revealed the presence of hexagonal epithelial cells with elevated cell boundaries. Each spine is attached to callous pad with a broad base. The spines are used for anchorage to the substratum so that fish can scrap food even in fast current of water. Tubercles are used by fish for protection against mechanical injuries. Further these may be taxo-nomically used for conspecific recognition. Cumulative action of tubercles and mucus enables the fish to make firm hold on the substratum.
Electron Holography Details the Tagish Lake Parent Body and Implies Early Planetary Dynamics of the Solar System
Authors: Kimura Yuki , Yamamoto Kazuo , Wakita Shigeru
Published: August 2021

The degree of aqueous alteration of small bodies in the solar system depends on the time of their formation, their size, and collisions with other bodies, among other factors. Therefore, a knowledge of the aqueous alterations recorded in meteorites is crucial to understanding the history of our solar system. The Tagish Lake meteorite, believed to have formed in the cold outer solar system, contains framboidal magnetite, a major product of the aqueous process. By in situ annealing experiments on the magnetic properties of the magnetite by electron holography and by numerical simulations, we show that the interior temperature of the parent body of the Tagish Lake meteorite reached ∼250°C as a result of radiogenic heating and an energetic impact. Our nanometer-scale magnetic study suggested that the parent body grew to >160 km in diameter in the Kuiper Belt at ∼3 Myr after the first solar system minerals formed and then experienced an energetic impact from a smaller body with a diameter of ∼10 km at a speed of ∼5 km s−1 about 4–5 Myr after the first minerals. The probability of such a high-impact-velocity event would have increased during travel of the parent body from the Kuiper Belt to the asteroid belt, triggered by the formation and migration of the giant planets. Our results imply the early dynamics of solar system bodies that occurred several million years after the formation of the solar system and a highly efficient formation of the outer bodies of the solar system, including Jupiter.
Orbital Periods and Waveforms of Dwarf Novae Observed by Kepler
Authors: Bruch Albert
Published: August 2021

Kepler high cadence data are used to measure the orbital periods and to determine the orbital waveforms of five dwarf novae. A significant improvement of the period of V1504 Cyg is achieved, while for the other systems periods are derived which are compatible with previous determinations. The orbital waveforms of the short period systems V1504 Cyg, V344 Lyr and V516 Lyr are very nearly sinusoidal, while the longer period dwarf nova V447 Lyr appears almost to be a twin of U Gem. The unusual system KIC 9202990 exhibits distinct variations of its waveform as a function of brightness during its outburst cycle.
Pasung of Schizophrenic patients in Pekanbaru City
Authors: Futrawan Richie , Amin Mustafa M. , Effendy Elmeida
Published: August 2021

BACKGROUND: Pasung is an act using a block of wood on someone’s hands and/or feet, tied or chained, exiled in a separate place in the house or in the forest. Mental disorders are still a serious mental health problem in Indonesia. There are still many schizophrenics who do not receive medical treatment or who drop out of medical treatment and eventually put in a Pasung.

CASE REPORT: We found several cases of patients with schizophrenia who were incarcerated, men aged 43 years and 40 years. They were diagnosed with schizophrenia with different characteristics of the disorder, different treatments, and in the end the Pasung became the last alternative completed by the family.

CONCLUSION: Ignorance of the family and surrounding community over the early detection and forced treatment at the Mental Hospital (asylum), causing patients not handled properly. It is only culturally known by the family to handle it, Pasung that is to prevent people with severe mental disorders from endangering themselves and others.
Improve pineapples growth by nano-membranes accessory and under stress condition in far north of Taiwan
Authors: Thanh Dinh Thi Hong ,   Institute of Safety, Health and Environmental Engineering, Ming Chi University of Technology, 24301, Taishan Dist., Taiwan, R.O.C., Chang Yu Kaung , Chen Son Zuang , Chang Hsiao Dao ,   Department of Chemical Engineering, National Taiwan University of Science and Technology, Da'an Dist., Taipei City 106335, Taiwan, R.O.C.,   Research Center for Biochemical and Bioengineering, Ming Chi University of Technology, 24301, Taishan Dist., Taiwan, R.O.C.,   Archin Automatic Installation Control Co., Ltd., Guishan, Taoyuan 333, Taiwan, R.O.C
Published: August 2021

The dual layers of Nano-membranes barrier, could succeeded in regulation nutrient element and control water-borne disease by improving aerations through added dual layers of nano-membranes, this plantation model provide concept of providing hydrophilic properties and 500 nm pore size believed to be much precision tools for agricultural utilization. This rebuilding of pineapple cultivation was optimized in green-house with natural ventilation, Optimized humidity and free watering were properly practiced by implement of diffusion cage for a novel revealed boundary effect by 500 nm mold inject product. Effect indicated as indicated: Cellulose, PBT, CTA in sequence have better boundary effects over limiting the diffusion of nitrate, phosphate, and a small part of potassium in the root boundary regime through proper moisture with 0.5–0.8 L/pot button irrigation, The intensity of boundary effect were revealed in kinetic analysis follow in sequence: EC (1500 mg L−1) > > nitrate (300 mg L−1) > TPO (2.5 mg L−1), while highly fluctuate for TPO. Then indication of hydrophilic PBT was better than PP was verified in barrier model. In the growth stage, separate initial I–III for direct releasing from the fertilizer and III–VI for hydrolysis & secretion of nutrient, especially for TPO anion form, indicate highly ion charged or polar attraction exerted. While phosphate was delivered slowly, the organic practice was found promising in deliver and uptake to the final two or three stage for flowering and fruiting. The verification of deliver of nutrient by double caged box in the rhigime zone, indicated effective in lowered the damping off/nematode syndrome, which opened the extension cropping in suboptimal area for pineapples. The success of growth character improved by control disease and pest, reach complete maturation. Under 80 % of final fruiting, the balance analysis show consistence in expectation for Pya (wild) > Pyc (hybrid) > Pyb (interbreed).
Bounds for subcritical best Sobolev constants in W1, p
Authors: Du Lele
Published: August 2021

This paper aims at establishing fine bounds for subcritical best Sobolev constants of the embeddings

   \begin{document}$ W_{0}^{1,p}(\Omega)\hookrightarrow L^{q}(\Omega),\quad 1\leq q< \begin{cases} \frac{Np}{N-p},& 1\leq p<N\\ \infty,& p = N \end{cases} $\end{document}

where \begin{document}$ N\geq p\geq1 $\end{document} and \begin{document}$ \Omega $\end{document} is a bounded smooth domain in \begin{document}$ \mathbb{R}^{N} $\end{document} or the whole space. The Sobolev limiting case \begin{document}$ p = N $\end{document} is also covered by means of a limiting procedure.
Probabilistic $ (\omega, \gamma, \phi) $-contractions and coupled coincidence point results
Authors: Jain Manish ,   Department of Mathematics, Ahir College, Rewari 123401, India, Jain Deepak , Park Choonkil , Shin Dong Yun ,   Department of Mathematics, Deenbandhu Chottu Ram University of Science and Technology, Murthal, Sonepat, India,   Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea,   Department of Mathematics, University of Seoul, Seoul 02504, Korea
Published: August 2021

In this paper, we introduce the notion of probabilistic $ (\omega, \gamma, \phi) $-contraction and establish the existence coupled coincidence points for mixed monotone operators subjected to the introduced contraction in the framework of ordered Menger $ PM $-spaces with Had${\rm{\mathord{\buildrel{\lower3pt\hbox{$\scriptscriptstyle\smile$}} \over z} }}$ić type $ t $-norm. As an application, a corresponding result in the setup of fuzzy metric space is also obtained.
Expressions of the Laguerre polynomial and some other special functions in terms of the generalized Meijer $ G $-functions
Authors: Shah Syed Ali Haider ,   Department of Mathematics, University of Sargodha, Sargodha, Pakistan, Mubeen Shahid
Published: August 2021

In this paper, we investigate the relation of generalized Meijer $ G $-functions with some other special functions. We prove the generalized form of Laguerre polynomials, product of Laguerre polynomials with exponential functions, logarithmic functions in terms of generalized Meijer $ G $-functions. The generalized confluent hypergeometric functions and generalized tricomi confluent hypergeometric functions are also expressed in terms of the generalized Meijer $ G $-functions.
Gauss-Bonnet theorems in the generalized affine group and the generalized BCV spaces
Authors: Wu Tong ,   School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China, Wang Yong
Published: August 2021

In this paper, we compute sub-Riemannian limits of Gaussian curvature for a Euclidean $ C^2 $-smooth surface in the generalized affine group and the generalized BCV spaces away from characteristic points and signed geodesic curvature for Euclidean $ C^2 $-smooth curves on surfaces. We get Gauss-Bonnet theorems in the generalized affine group and the generalized BCV spaces.
The role of duodenal jejunal bypass liner in obesity treatment
Authors: Ülger Taha Gökmen , Tayfur Muhittin , Çakıroğlu Funda Pınar , Özcan Çiğdem
Published: August 2021

Endoscopic bariatric procedures including Duedenal Jejunal Bypass Liner (DJBL) have become widespread in obesity treatment in recent years. The aim of this systematic review was to assess the role of DJBL in obesity treatment. A comprehensive search of several databases, including Cochrane Library, PubMed, and Web of Science was conducted to December 2020. Twenty-four clinical studies were assessed. According to the results, it is clear that DJBL provides effective weight reduction at 6–12 months and significant improvements in parameters associated with metabolic syndrome and cardiovascular disease. This technique also has potential to reduce comedications in patients with obesity and type 2 diabetes. Although these positive effects of DJBL are clear, its effect on liver, pancreatic functions, and inflammation markers are not clear yet. In addition, the overall and serious complication (gastrointestinal bleeds, pancreatitis, hepatic abscess, obstruction of the sleeve, biliary colic without cholecystitis and cholangitis) rate causing from the DJBL is very high. DJBL has not been approved by the Food and Drug Administration due to the frequency and severity of complications it causes. While it is certain that DJBL has significant effects on obesity and obesity related comorbidities, the safety aspect needs to be improved.
Designing Educational Game to Increase Environmental Awareness
Authors: Nurul Huda Sheila , Ramadhan Muhammad Fadillah
Published: August 2021

Plastic is a versatile material that is inexpensive and has the characteristics of being lightweight, strong, durable, anti-corrosive, with high thermal and electrical insulation properties. Regardless of the positive impact on economic development, it brings negative impacts on the environment. The amount of plastic waste, that continues to increase, pollutes the environment and ocean chronically. There needs to be a change in people behavior and awareness to reduce the use of it. In fact, raising awareness of the environment from the dangers of plastic waste is not an easy matter, but if taught since childhood, good environmental awareness and habits will be formed. This research tried to raise awareness among elementary school children in Indonesia of the dangers of plastic waste through an educational game developed using the Game Development Life Cycle (GDLC). GDLC consists of six phases: initiation, pre-production, production, testing, beta, and release. Strategy genre was chosen for engaging gameplay. Environmental awareness and knowledge on the danger of plastic waste were given integrally through storylines, gameplay, goals, and animated cutscenes. The results of testing at the beta stage on the respondents showed that 71.11% of primary school student respondents gained environmental knowledge.
Covid 19 and Challenges in Higher Education: An Empirical Analysis
Authors: Sahoo Bibhu Prasad , Gulati Ankita , Haq Irfan Ul
Published: August 2021

Over the years the global economy, including India, has undergone a profound change and observed a pioneer role of innovation and technology in every sector. Rapid technological dissemination has seen human or physical touch points being replaced by digital interface. With digitization happening everywhere, it becomes all the more important for the education sector to adapt it in order to keep pace with the challenging world. With the onset of the global pandemic of Covid-19, the only option left with the education sector is to switch to online classes for its smooth and continuous working. This research aims to investigate the challenges that are faced by the students and their level of satisfaction from these classes. The study is based on primary data collected from 700 students of various colleges across Universities in India. The study employs regression models, crosstabs, and various other descriptive statistics for analysis of the data. The findings of the study suggest that the students face a lot of glitches while learning from the online mode of education and would need time to adjust. The research also provides an insight on the scope and the future of online education.
Development & Evaluation of E-Learning Module Based on Visual and Global Preferences Using a User-Centered Design Approach
Authors: Santoso Harry Budi , Hadi Putra Panca O. , Farras Hendra S Febrian Fikar
Published: August 2021

Students develop various learning styles based on their preferences and learning habits. To serve different learning styles in a class with a number of students using the conventional face-to-face teaching method is not practical; therefore, the idea of personalized e-Learning to accommodate differences in learning style has arisen. Building on this idea, this research intends to provide an alternative interaction design for e-Learning modules by developing content based on user needs using the User-Centered Design methodology. Due to a lack of e-Learning content for visual and global preferences in the Felder-Silverman learning styles, User-Centered Design is chosen as the basis to design the e-Learning module. The result consists of an alternative design and a proposed interface design. The alternative design describes learning objects and navigation of the e-Learning module. The proposed interface design is a prototype of an interactive e-Learning module. After being evaluated, the prototype satisfies the user's expectations in terms of content translation, content navigation, and interactivity throughout the module.
Password Strength Metre Application
Authors: Boonkrong Sirapat , Kitthimon Arkalerk , Koksoungnoen Patchara , Jenprakhon Krissada
Published: August 2021

Passwords are considered the most commonly used method of authentication.  Unfortunately, weak passwords are known to be the main cause of many cyber attacks.  With stronger passwords, it is believed that this first line of defence would be able to reduce the risk of cyber attacks, trespass and information exposure.   A password strength metre application was, therefore, developed so that users can try out the passwords of their choice before actually deciding to register them.  Although the application contains such information as password entropy, password quality index and password complexity index, the data is presented in a user-friendly way so that it is intuitive to any users.
Survey on 3D Content Encryption
Authors: Alsalam Ali Nashwan , Monem S. Rahma Abdul , H. Shaker Shaimaa
Published: August 2021

The rapidly growing 3D content exchange over the internet makes securing 3D content became a very important issue. The solution for this issue is to encrypting data of 3D content, which included two main parts texture map and 3D models. The standard encryption methods such as AES and DES are not a suitable solution for 3D applications due to the structure of 3D content, which must maintain dimensionality and spatial stability. So, these problems are overcome by using chaotic maps in cryptography, which provide confusion and diffusion by providing uncorrelated numbers and randomness. Various works have been applied in the field of 3D content-encryption based on the chaotic system. This survey will attempt to review the approaches and aspects of the structure used for 3D content encryption methods for different papers. It found the methods that used chaotic maps with large keyspace are more robust to various attacks than other methods that used encryption schemes without chaotic maps. The methods that encrypting texture, polygon, and vertices for 3D content provide full protection than another method that provides partial protection.
Assessing Brunei Darussalam Public and Private Sector Readiness Towards Big Data Application
Authors: Sait Muhammad Azmi , Ali Muhammad Anshari
Published: August 2021

This exploratory study aims to assess and investigate Brunei Darussalam’s readiness in developing and applying big data technologies for its public and private sectors, using Social, Technological, Environmental and Policy (STEP) framework. The results show that the population are digitally literate (Social) and utilises smart devices as well as internet network connectivity that is widely offered by the local telecommunications company (Technology). The government of Brunei Darussalam established multiple digital transformation initiatives including implementation of 5G connectivity as well as digital economy masterplan to digitally transformed in the near future (Environment). Regardless of the absence of national digital data privacy policy (Policy) in Brunei, the recent nation’s successful big data application in public sector – BruHealth Application – to contain Covid-19 community spread was achieved. Alas, the existence of such policy in the near future will create opportunities for the local private sectors to capitalise big data technologies to their business strategies.
A State-of-the-Art Survey on Face Recognition Methods
Authors: Modi Prashant , Patel Sanjay
Published: August 2021

Face Recognition is an efficient technique and one of the most liked biometric software application for the identification and verification of specific individual in a digital image by analysing and comparing patterns. This paper presents a survey on well-known techniques of face recognition. The primary goal of this review is to observe the performance of different face recognition algorithms such as SVM (Support Vector Machine), CNN (Convolutional Neural Network), Eigenface based algorithm, Gabor Wavelet, PCA (Principle Component Analysis) and HMM (Hidden Markov Model). It presents comparative analysis about the efficiency of each algorithm. This paper also figure out about various face recognition applications used in real world and face recognition challenges like Illumination Variation, Pose Variation, Occlusion, Expressions Variation, Low Resolution and Ageing in brief. Another interesting component covered in this paper is review of datasets available for face recognition. So, must needed survey of many recently introduced face recognition aspects and algorithms are presented.
A Multi-Model Framework for Grading of Human Emotion Using CNN and Computer Vision
Authors: Kulkarni Praveen , Rajesh T. M.
Published: August 2021

Emotion analysis is an area which is been widely used in the forensic crime detection domain, a mentoring device for depressed students, psychologically affected patient treatment. The current system helps only in identifying the emotions but not in identifying the level of emotions like whether the individual is truly happy/sad or pretending to be happy /sad. In this proposed work a novel methodology has been introduced. We have rebuilt the Traditional Local Binary Pattern (LBP) feature operator to image the expression and combine the abstract characteristics of facial expression learned from the neural network of deep convolution with the modified features of the texture of the LBP facial expression in the full connection layer. These extracted features have been subjected as input for CNN Alex Net to classify the level of emotions. The results obtained in this phase are used in the confusion matrix for analysis of grading of emotions like Grade-1, Grade-2, and Grade-3 obtained an accuracy of 87.58% in the comparative analysis.
A Deep Learning-Based Approach to Classification of Baby Sign Language Images
Authors: Nadgeri Sulochana , Kumar Arun
Published: August 2021

Baby Sign Language is used by hearing parents to hearing infants as a preverbal communication which reduce frustration of parents and accelerated learning in babies, increases parent-child bonding, and lets babies communicate vital information, such as if they are hurt or hungry is known as a Baby Sign Language . In the current research work, a study of various existing sign language has been carried out as literature and then after realizing that there is no dataset available for Baby Sign Language, we have created a static dataset for 311 baby signs, which were classified using a MobileNet V1, pretrained Convolution Neural Network [CNN].The focus of the paper is to analyze the effect of Gradient Descent based optimizers, Adam and its variants, Rmsprop optimizers on fine-tuned pretrained CNN model MobileNet V1 that has been trained using customized dataset. The optimizers are used to train and test on MobileNet for 100 epochs on the dataset created for 311 baby Signs. These 10 optimizers Adadelta, Adam, Adamax, SGD, Adagrad, RMSProp were compared based on their processing time.
COVID-CLNet
Authors: Awedat Khalfalla , Essa Almabrok
Published: August 2021

One of the most serious global health threats is COVID-19 pandemic. The emphasis on increasing the diagnostic capability helps stopping its spread significantly. Therefore, to assist the radiologist or other medical professional to detect and identify the COVID-19 cases in the shortest possible time, we propose a computer-aided detection (CADe) system that uses the computed tomography (CT) scan images. This proposed boosted deep learning network (CLNet) is based on the implementation of Deep Learning (DL) networks as a complementary to the Compressive Learning (CL). We utilize our inception feature extraction technique in the measurement domain using CL to represent the data features into a new space with less dimensionality before accessing the Convolutional Neural Network. All original features have been contributed equally to the new space using a sensing matrix. Experiments performed on different compressed methods show promising results for COVID-19 detection.
Bandwidth Estimation and Optimized Bitrate Selection for Dynamic Adaptive Streaming Over HTTP Using RSI-GM and ISSO
Authors: Agal Sanjay , Gokani Priyank K.
Published: August 2021

Dynamic Adaptive Streaming over HTTP (DASH) is an emerging solution that aims to standardize existing proprietary streaming systems. DASH specification defines the media presentation description (MPD), which describes a list of available content, URL addresses, and the segment format. High bandwidth demands in interactive streaming applications pose challenges in efficiently utilizing the available bandwidth. In this paper, a novel Relative Strength Index (RSI) with Geometric mean (GM) namely RSI-GM is proposed for estimating available bandwidth for DASH. The proposed work starts by taking the video as an input at the transmitter side and then the video compression is performed using the TRLE. Then MD5 hashing-based AES encryption is applied to the compressed video data to provide data security. Then RSI-GM is proposed to estimate the available bandwidth for DASH. Finally, after estimation, the bitrate for estimated bandwidth is selected optimally using the Improved Shark Smell Optimization (ISSO) algorithm.
An Ensemble Random Forest Algorithm for Privacy Preserving Distributed Medical Data Mining
Authors: Hassan Musavir , Butt Muheet Ahmed , Zaman Majid
Published: August 2021

As the voluminous amount of data is generated because of inexorably widespread proliferation of electronic data maintained using the Electronic Health Records (EHRs). Medical health facilities have great potential to discern the patterns from this data and utilize them in diagnosing a specific disease or predicting outbreak of an epidemic etc. This discern of patterns might reveal sensitive information about individuals and this information is vulnerable to misuse. This is, however, a challenging task to share such sensitive data as it compromises the privacy of patients. In this paper, a random forest-based distributed data mining approach is proposed. Performance of the proposed model is evaluated using accuracy, f-measure and appa statistics analysis. Experimental results reveal that the proposed model is efficient and scalable enough in both performance and accuracy within the imbalanced data and also in maintaining the privacy by sharing only useful healthcare knowledge in the form of local models without revealing and sharing of sensitive data.
A Cross-Country Comparison of Mathematics Teachers' Beliefs About Technology in Education
Authors: Mothobi Neo , Van Ryneveld Linda , Graham Marien A.
Published: August 2021

The purpose of this study was to determine how South African learners compared with their selected international counterparts according to their teachers’ views. The analysis was based on predictor variables that are related to the use of computer activities in teaching and learning. These variables were extracted from the 2011 Trends in Mathematics and Science Study teachers’ datasets and linked to the learners’ data. The results revealed that regardless of the socio-economic status between South Africa and each of the countries, it could be claimed that some similarities can be fostered. Similarity does not imply being totally identical, but rather demonstrates which teachers responses between South Africa and each of the countries might have the same structure after the statistical analysis. The differences in teachers’ beliefs between South Africa and all the countries provided vital information about the scope of possible classroom practice and teachers’ inclination to different teaching approaches.
Bayesian Belief Network Approach for Supply Risk Modelling
Authors: Jindal Anil , Sharma Satyendra Kumar , Routroy Srikanta
Published: August 2021

Today’s global and complex world increased the vulnerability to risks exponentially and organizations are compelled to develop effective risk management strategies for its mitigation. The prime focus of research is to design a supply risk model using Bayesian Belief Network bear in mind the tie-in of risk factors (i.e. objective and subjective) those are critical to a supply chain network. The proposed model can be re-engineered as per new information available at disclosure, so risk analysis will be current and relevant along the timeline as so situation is strained. The top three factors which influenced profitability were transportation risk and price risks. Netica is the platform used for designing and running simultaneous simulations on the Bayesian Network. The proposed methodology is demonstrated through a case study conducted in an Indian manufacturing supply chain taking inputs from supply chain/risk management experts. .
Forecasting Supply Chain Demand Approach Using Knowledge Management Processes and Supervised Learning Techniques
Authors: Brahami Menaouer , Zahra Abdeldjouad Fatma , Mohammed Sabri , Semaoune Khalissa , Matta Nada
Published: August 2021

In today’s context (competition and knowledge economy), ML and KM on the supply chain level have received increased attention aiming to determine long and short-term success of many companies. However, demand forecasting with maximum accuracy is absolutely critical to invest in various ﬁelds, which places the knowledge extract process in high demand. In this paper, we propose a hybrid approach of prediction into a demand forecasting process in supply chain based on the one hand, on the processes analysis for best professional knowledge for required competencies. And on the other hand, the use of different data sources by supervised learning to improve the process of acquiring explicit knowledge, maximizing the efficiency of the demand forecasting, and comparing the obtained efficiency results. Therefore, the results reveal that the practices of KM should be considered as the most important factors affecting the demand forecasting process in supply chain. The classifier performance is examined by using a confusion matrix based on their Accuracy and Kappa value.
A Multimethodology for Supporting the Boundary Selection of System Dynamics Models
Authors: Duarte dos Santos Leandro , Schlindwein Sandro Luis , Filho Erwin Hugo Ressel , Vaz Caroline Rodrigues , Maldonado Mauricio Uriona , Fantini Alfredo Celso , Belderrain Mischel Carmen Neyra
Published: August 2021

System dynamics models can produce knowledge for decision-makers and, consequently, provide better choices. To be effective in its purpose, a model must reproduce an observed problem situation effectively. Hence, the compatibility between the observed problem situation and the created model is essential and represents a considerable challenge. In this context, this paper aims to describe an adaptation of the problem structuring method ‘Strategic Options Development and Analysis’ (SODA), used in the Problem Articulation (Boundary Selection) step of the system dynamics modelling process. In summary, this adaptation consists of: (1) Selecting of stakeholders; (2) Capturing, aggregating and interpreting the insights using cognitive and causal maps, and (3) Using the interpretation of the causal maps for building a system dynamics model. The method proved to be satisfactory since it was able to direct the construction of a System Dynamics model based on a problem situation perceived by stakeholders acting in the native forests of the state of Santa Catarina, Brazil.
Marketing and Its Social Implications
Authors: Mandal Pratap Chandra
Published: August 2021

Companies adopt marketing practices to delight their customers, develop customer relationships, and generate revenues and profits. However, sometimes, companies focus solely on their selfish motives of growth and prosperity forgetting about customer welfare and welfare of the society. Marketers are criticized for such practices and the negative impact created on the society. The practices include high prices of products, high distribution costs, high advertising and promotion costs, excessive mark-ups, deceptive practices, high-pressure selling, questionable products, planned obsolescence, and poor service to disadvantaged customers. Marketers are criticized for creating false wants and materialism, scarcity of social goods, and cultural pollution. They are accused of harming and reducing competition. In this age of social marketing, companies should consider societal concerns of various stakeholders and maintain a balance between their own objectives of generating revenues and profits and long-term societal requirements. This will help in sustaining the society.
Local Participation in Community-Based Development Projects in Ghana
Authors: Aryeh-Adjei Abigail A. , Anang Samuel Afotey , Osei-Adusah Diana
Published: August 2021

The study critically analyses how the local people in Ga West municipality perceive local participation and socio-cultural factors that influence local participation. The study used the mixed method design. The lottery method of the simple random sampling technique coupled with Neuman and Neuman’s (2006) recommendation on random convenience sampling were used to sample and collect data from 187 respondents. The study revealed that local participation provides the local people employment avenues. It was revealed that developmental projects brought to their communities do not allow the local people to be involved at the planning and implementation phases. The study further revealed that women were of the opinion that projects brought to them were not feminine enough and did not build their capacity. Education, social cohesion, peace and stability were among some of the sociocultural factors that influence participation. The study again recommended that every community member should participate, regardless of their gender, ethnic group or socio-cultural differences.
Using Online Social Networks to Globalize and Popularize Product Brands in Different Cultural Areas
Authors: Chang Christina Ling-hsing , Wu Sheng
Published: August 2021

The purpose of this paper is to investigate the influential factors of online social network advertising in three different cultural areas, being China, India, and the US. This study uses the Social Capital Theory (SCT), and Guanxi Theory, as two types of relation theories; then collects data from the virtual community (or online social network, VC) members of three different areas, a total of 730 valid surveys were completed for model testing. The findings show that: (1) building the relationship dimension of the SCT (trust, identification, and the norm of reciprocity) for the VC members in China and the US societies is more useful than the India society, to spread the brands through the VC; (2) good guanxi for the VC members in China's society is more useful than the Indian and the US societies to spread brands through VC. The result demonstrates that culture differentiation should be consider when researchers investigate the impact of VC advertising contact and attention, attitude towards VC advertising, and purchase intention in VC context.
The Influences of Live Streaming Affordance in Cross-Border E-Commerce Platforms
Authors: Xu Yujing , Jiang Wenqian , Li Yu , Guo Jia
Published: August 2021

Despite the promise of cross-border e-commerce, attracting consumers is still a worldwide challenge. Many cross-border e-commerce platforms have responded to the challenges by embracing innovative tools like live streaming. However, there has been limited understandings of the unique nature of live streaming and its empirical influence. Taking an affordance view of live streaming, this study defines affordance of live streaming as the capacities provided by live streaming and examines how affordance of live streaming affect consumer behavior in the cross-border e-commerce context based on information transparency perspective. Results show that although live streaming does not directly affect consumers’ cross-border purchase intention, it can increase consumers’ purchase intention through increasing perceived information transparency. In addition, affordance of live streaming can further moderate the relationship between different types of information transparency and consumers’ cross-border purchase intention. The findings provide a much-needed contribution to academia and business.
Detection of food in immature and adult stages of water scavenger beetle, Hydrophilus acuminatus (Coleoptera: Hydrophilidae)
Authors: Inoda Toshio
Published: August 2021

The water scavenger beetle, Hydrophilus acuminatus (Motschulsky) (Coleoptera: Hydrophilidae), has two types of feeding modes: carnivorous during the larval stage and omnivorous during the adult stage. To investigate how the beetles detect food, larvae were provided with pond snails and snail visceral mass and adults were provided with algae and thawed blood worms. Larvae found snails and visceral mass hidden in the filter paper (only “smell” could be used); however, visceral mass was found 22–27 minutes sooner than snails, 40–53 minutes. Time to find the visceral mass that was exposed (all senses could be used) or hidden (only “smell” could be used) showed similar values, 5.4–8.0 or 7.6–8.5 minutes, respectively. Adults found algae exposed on the filter paper in 54 ± 73 minutes (mean ± standard deviation), whereas no adults found the algae hidden in the filter paper. In contrast, all adults found the thawed blood worms in the exposed (10.3 ± 13 minutes) and hidden conditions (11.0 ± 12.7 minutes). Adults did not show feeding behaviour towards the algae or thawed blood worms in the transparent microtube (only “sight” could be used). These suggest that larvae use smell, whereas adults use smell and touch and/or taste to detect their food.
A 57-year-old man with rapidly progressive pulmonary hypertension
Authors: Raimondi Federico , Conti Caterina , Novelli Luca , Tarantini Francesco , Ciaravino Giuseppe , Scuri Piermario , Grosu Aurelia , Chinaglia Daniela , Grazioli Lorenzo S.C. , Gianatti Andrea , Lorini Ferdinando L. , Senni Michele , Di Marco Fabiano
Published: August 2021

Pulmonary Tumor Thrombotic Microangiopathy (PTTM) is a rare condition associated with neoplastic disorders, predominantly gastric cancer, leading to pre-capillary Pulmonary Hypertension (PH). The pathologic mechanism involved is a fibrocellular intimal proliferation of small pulmonary vessels sustained by nests of carcinomatous cells lodged in pulmonary vasculature. Clinical presentation is nonspecific, including progressive dyspnea and dry cough. Diagnosis of PTTM is extremely challenging ante-mortem and prognosis is poor. Here we describe the case of a middle-aged man, without known previous cancer history. The clinical course was rapidly unfavorable, with progressive dyspnea and PH associated with hemodynamic instability, eventually culminating in patient’s death. PTTM diagnosis was made post-mortem. PTTM should be considered in any patient presenting with unexplained PH, especially if it is rapidly progressive, poorly responsive to standard approaches or there is suspected history of malignancy. A prompt diagnosis of PTTM could help in bringing light into this still under-recognized condition.
Influence of Foot Progression Angle on Center of Pressure During Stair Ascending in Subjects With Chronic Ankle Instability
Authors: Ban Jung-Hyun , Kim Tae-Ho
Published: August 2021

The purpose of this study was to identify changes in the center of pressure during stair ascending in subjects with chronic ankle instability while different angles of foot are applied. The subjects of this study were 20 male and female adults with chronic ankle instability were selected from among the employees of D Hospital in Daegu Metropolitan City. The criteria for selection of subjects with chronic ankle instability were those who felt wobbling in the ankle joint and scored not higher than 24 points in a test using the Cumberland Ankle Instability Tool (CAIT). The subjects carried out stair ascending in neutral, toe-in and toe-out postures, respectively, and changes in the center of pressure (COP) were compared and analyzed. The results of this study, no statistically significant difference appeared in the comparison between the toe-in posture and neutral posture or between the neutral posture and the toe-out posture but medial/lateral movements of the center of pressure showed significant differences between the toe-in and toe-out postures. In addition, the total travel range and the moving range of the center of pressure, the average velocity, and the anterior/posterior movements of the center of pressure showed no statistically significant difference among all three postures. As a result, it could be seen that when adults with chronic ankle instability climb the stairs, the toe-in posture reduce the medial/lateral movements of the center of pressure thereby increasing the stability of the ankle and effectively preventing re-injuries.
Automatic Calculation Method of Load Resonant Frequency of Photovoltaic Power Supply
Authors: Zhao Xinying , Luo Kun
Published: August 2021

The resonance phenomenon of photovoltaic power supply load makes the output voltage of grid-connected photovoltaic power supply system difficult to keep stable, which brings trouble to power supply. Therefore, it is necessary to study the automatic calculation method of load resonance frequency of photovoltaic power supply, so as to detect the load resonance frequency of photovoltaic power supply in real time, thereby ensuring the normal operation of photovoltaic power supply system. The load resonance frequency of photovoltaic power supply is divided into steady-state load resonance frequency and dynamic load resonance frequency. The mathematical model of load resonant circuit of photovoltaic power supply is established by calculating algorithm of load resonant frequency of photovoltaic power supply in steady state, and load resonant frequency of photovoltaic power supply in steady state is calculated. The resonance detection algorithm based on wavelet transform and Hilbert-Huang transform is used to analyze and calculate the load resonance frequency after detecting the resonance signal of photovoltaic power system. The experimental results show that the resonant frequency of photovoltaic power supply load calculated by this method is not much different from the actual resonant frequency of photovoltaic power supply load, and the error range is between-0.30% and 0.49%. Therefore, this method can keep the load resonance frequency of the photovoltaic power supply the same as the RF transmission resonance frequency, and can ensure the normal operation of the photovoltaic power supply.
Multi-directional Feature Positioning Retrieval Method of Random Encrypted Images
Authors: Huang Fuwei
Published: August 2021

Image encryption is an effective means to ensure image information security, but image encryption makes image features hidden, resulting in blurred image positioning features and cannot provide queryable rules. In this paper, the multi-direction feature retrieval method of random encrypted images is studied comprehensively. Multidirectional binary wavelet is used to decompose specific images, and multi-resolution analysis is used to extract multi-direction features of specific images. The method of image location optimization in random encrypted images is used to eliminate the excessive and repeated image features contained in the specific image by image verification, and the probability of image location errors is reduced. The specific image is retrieved by identifying frequent item sets in random encrypted images that are identical to the multidirectional features of a particular image. The results show that the method can locate the random encrypted image effectively. The accuracy of the image location and the average accuracy of the feature points are about 95 % and 97.3 % respectively, and the anti-noise ability is strong. It provides a scientific means for the rapid positioning of efficient images.
“Nova velha história”: o mito da cobra grande em Cassiano Ricardo, Raul Bopp e Daniel Munduruku
Authors: Silva Telma Borges da
Published: August 2021

Resumo: Este trabalho teve por objetivo realizar uma análise comparativa entre os livros Martim Cererê, de Cassiano Ricardo, Cobra Norato, de Raul Bopp e O sumiço da noite, de Daniel Munduruku. A abordagem teórico-metodológica baseou-se na noção de perspectivismo, de Eduardo Viveiros de Castro, na ideia de enunciado, de Michel Foucault e em algumas considerações simbólicas sobre a serpente, a partir da qual destacou-se o modo como o mito da cobra grande é apropriado por cada um desses autores e os diferentes efeitos de sentido que produzem. Enquanto nos textos dos escritores modernistas, a cobra não cria um ponto de vista próprio, pois age em favor do colonizador, no texto de Munduruku ela produz uma perspectiva própria, age no mundo para garantir sua sobrevivência, de modo que é possível afirmar  a existência de uma percepção mútua de como o mundo se exprime das cobras.
A trajetória arqueológica de Michel Foucault: caminhos possíveis
Authors: Sales Márcio
Published: August 2021

Resumo: O artigo é uma retomada da trajetória arqueológica de Michel Foucault e ao mesmo tempo uma homenagem aos 60 anos da História da Loucura, o livro inaugural desse percurso. Trata-se de um recorte em torno do tipo de história empreendido pelo autor, a arqueologia do saber, que consiste em fazer uma escavação dos diferentes discursos acerca da loucura, da medicina, da linguagem, das riquezas e da vida, desde o renascimento até à modernidade, a fim de analisar o modo como a sociedade ocidental, para fazer valer a sua razão, estabelecer a sua moral e impor a sua ordem, precisou afastar para longe tudo aquilo que representava o desconhecido, o diferente, o outro, enfim, a experiência outra. No entanto, tal experiência, na perspectiva foucaultiana, não deixou de permanecer viva, por debaixo da história, como uma espécie de clamor pela liberdade, pelo pensamento de fora, através de uma linguagem estrangeira, plural, revolucionária, que ele encontra na literatura e num certo tipo de filosofia.