bluuebunny/crossref_metadata_2025 huggingface dataset:
PREDICTIVE QSAR MODELING OF PYRIDAZINYL DERIVATIVES USING K-NEAREST NEIGHBOR AND PHARMACOPHORE APPROACH
Authors: Sharma M.C. , Kohli D.V. ,   Department of Pharmaceutical Sciences, Dr. H.S. Gour University, Sagar – 470 003, Madhya Pradesh, India.
Published: November 2021

This study was carried out elucidate the structural properties required for pyridazinyl derivatives to exhibit angiotensin II receptor activity. The best 2D-QSAR model was selected, having correlation coefficient r2 = 0.8156, cross validated squared correlation coefficient q2 = 0.7348 and predictive ability of the selected model was also confirmed by leave one out cross validation method. Further analysis was carried out using 3D-QSAR method k-nearest neighbor molecular field analysis approach; a leave-one-out crossvalidated correlation coefficient of 0.7188 and a predictivity for the external test set (0.7613) were obtained. By studying the QSAR models, one can select the suitable substituent for active compound with maximum potency.
TOTAL PHENOLS CONTENT AND ANTIOXIDANT ACTIVITY OF DIFFERENT POLARITY CRUDE EXTRACTS OF DODONAEA VISCOSA
Authors: Shoriqi Maisa R. , Touby Salem S. , Hossain Mohammad A. ,   School of Pharmacy, College of Pharmacy and Nursing, University of Nizwa, P. O. Box 33, Postal Code 616, Nizwa, Oman
Published: November 2021

Nowadays, effective medications as antioxidant agents are mandatory for a safe and sustainable environment. Dodonaea viscosa (D. viscosa) is used traditionally by the Omani people to treat rheumatism, toothaches, fever, cold, malaria, headaches, indigestion, ulcers, diarrhea, and constipation, dysmenorrheal and irregular menstruation. This study was carried out to prepare leaf extracts by different solvents and to determine their antioxidant activity and total phenols content. The selected plant was collected locally near the University Campus, Nizwa, Oman. The dried coarse powder was used for the extraction with methanol and it was defatted with water and successively partitioned with different polarity solvents with increasing solvent polarity. The total phenols content and antioxidant activity of the prepared different extracts were assessed by Folin-Ciocalteu reagent (FCR) and 2,2-diphenyl-1-picryl-hydrazyl (DPPH) methods. The total phenols content of different extracts was in the range of 3.02-249.93 mg gallic acid/g dry extract. The chloroform extract showed the maximum amount of total phenol compounds (249.93 mg GAE acid/g dry extract) and the minimum content was found in water extract (3.02 mg GAE acid/g dry extract). The leaf crude extracts were obtained to significant levels of antioxidant activity that ranged from percentage of inhibition from 33-85.92 %. The water extract and n-butanol extracts showed significant levels of antioxidant activity (85.92 % and 84.99 %) against the DPPH free radical method. In conclusion, this study showed that different polarities crude extracts of D. viscosa comprise a significant amount of phenols plus antioxidant properties and have possibilities of being potential use of the selected species for a natural source of antioxidants.
SYNTHESIS OF 4-(3H)-QUINAZOLINONES FOR POTENTIAL ANTIMICROBIAL ACTIVITY
Authors: Thakor Ekta , Khan Tabassum A. ,   Department of Pharmaceutical Chemistry, St. John Institute of Pharmacy and Research, Palghar(E), District Palghar - 401 404, Maharashtra, India,   Department of Pharmaceutical Chemistry & QA, SVKM’s Dr. Bhanuben Nanavati College of Pharmacy, Mumbai- 400 056, Maharashtra, India
Published: November 2021

Quinazolinones are of considerable research interest since their discovery and are found in large numbers as naturally occurring alkaloids. They are reported to exhibit a wide range of useful biological activities like antibacterial, antiviral, antimalarial, anticancer, anticonvulsant, antihypertensive, antidiabetic, antihistamine and anti-inflammatory. There are several new reports on quinazolinone analogues showing a diverse spectrum of biological activities. A new series of 2-styryl 4(3H)- quinazolinone analogues were synthesized using anthranilamide, acetyl chloride and substituted aromatic benzaldehyde. The synthesized analogues (IVa-IVj) were purified by chromatography and characterized by spectroscopy. They were screened for antibacterial activity against Escherichia coli, Pseudomonas aeruginosa, Pseudomonas vulgaris, Staphylococcus aureus and Bacillus subtilis using moxifloxacin as the reference standard and for antifungal activity against Candida albicans and Aspergillus niger using ketoconazole as the reference standard. The results indicated that IVa and IVj were active against E. coli, IVd against B. subtilis, IVb against S. aureus and IVa, IVb and IVe against C. albicans. The synthesized analogues did not exhibit activity against A. niger. The 2-styryl 4(3H)- quinazolinone series was found to show good activity against the selected bacterial strains and can serve as good templates for design and synthesis of more potent antibacterial and antifungal entities.
The Basic Of Human Resource Management Book 1
Authors:   STIE Jaya Negara Tamansiswa Malang, Widarni Eny Lestari , Bawono Suryaning
Published: October 2021

Basic Human Resource Management Book 1 is the First Book of Trilogy of The Basic of Human Resource Management book. This book teaches how to manage Human Resources from basic to advanced in the three-book series The Basic of Human Resource Management. There are three books published in stages in the trilogy series The Basic Of Human Resource Management Book. In this first book, it is discussed in detail about 5 main and fundamental things in managing humans, namely. Human Resource Management Human Resource Management The Role of the Human Resources Function The Role of Human Resources Practitioners The Role of Front Line Managers The five discussions are the basis for managing human or human resources in organizations and companies
An Integrated Approach for Identifying and Prioritizing Potential Areas as Conservation Reserves in the Western Ghats, India
Authors: Karunakaran Puthiya , Rachelpushpam Chrips , Raghavakurup Vinod , Ambat Babu
Published: November 2021

We studied the Agasthyamalai region of the Western Ghats to identify and prioritize potential areas to declare as Conservation Reserves using biological and social values in the southern Western Ghats. In this two phase study, throughthe desktop analysis (ERDAS Imagine, IRS-LISS4 data) identified four major forest patches viz., Kallar (24.05 km2), Ponmudi (57.17 km2), Chankili (119.64 km2) and Achancovil (7.55 km2) under the Palode and Kulathupuzha Forest Ranges of Thiruvananthapuram Forest Division (FD) and Achancovil Range of Achancovil FD. Second phase aggregated data pertaining to above four patches on presence of climax type of forests, biological wealth indicated by species richness, presence of endemic and critical species of plants and animals (vertebrate species excluding mammals) and indigenous peoples’ reliance on natural resources like water and NTFP. An overlay analysis using Arc GIS 9.1, the thematic layers have been created and subsequently integrated to infer the hierarchy within the four patches. The highest weighted average conservation value (=117.5) was scored by Ponmudi, followed by (=100) Chankili and (=90) Achancovil, where as lowest score of 67.5 attributed to Kallar patch. Highest dependency value of 40 was attributed to Achancovil, followed by Ponmudi and Chankili equally scored (=35), while the Kallar scored only 25. Based on sum of conservation and dependency values, Ponmudi patch stands out with highest priority (=152.5) in Agasthyamalai Biosphere Reserve, and others trail behind respectively.
Two New Records of Nematodes (Nematoda: Dorylaimida) from India
Authors: Sharma Vinita
Published: November 2021

Two Dorylaimid nematode species, Aporcelaimellus baeticus Sergio Alvarez-ortega et al., 2013 and Xiphinema parachambersi Maria et al., 2018 are new for India, recorded from Rajaji Tiger Reserve, Uttarakhand, India. These species are reported from India after original description.
Lepisanthes ferruginea (Radlk.) Leenh. (Sapindaceae) – A new distributional record for the mainland India
Authors: Jithin K.V. , Jose P.A. , Sanil M.S. , N.M. Binoy
Published: November 2021

Lepisanthes ferruginea (Radlk.) Leenh. (Sapindaceae), formerly known from Malaysia, Singapore, Thailand and recently reported from Andaman and Nicobar Islands. Present collection from the semi evergreen forests of Malabar Wild Life Sanctuary, Kozhikode, Kerala. Description, photographs and identification key has been provided for its easy identification.
Saccharum bengalense Retz. (Poaceae): An Addition to the Flora of Andhra Pradesh, India
Authors: Swamy Jetti , Ramana Pragada
Published: November 2021

Saccharum bengalense Retz. is reported as an addition to the Flora of Andhra Pradesh, collected from Srikakulam district of Andhra Pradesh, India. The detailed description and photo plate is provided for easy identification.
Anatomy and Pollen Morphology of Lantana camara L. - An Invasive Alien Plant
Authors: Bharti Mamta , Tewari Lalit , Tewari Ashish , Kumar Manish , Sharma Shalini
Published: November 2021

Lantana camara L. the alien-invasive species to Uttarakhand belongs to the verbenaceae family, ever-green woody shrub with different colour flowers ranges from yellow to orange. The fresh hand sections of stem and leaf of Lantana camara L. were studied with light microscopeand intended to find out identical characteristics. Epidermiswas a single layer of compactly arranged by barrel-shaped parenchyma cells with slightly thick walled where intercellular spaces were absent. The visually large trichomes were non-glandularand unicellular, conical type, presenting a large base and a thin extremity.Hypodermis was characterized by a few layers of collenchyma cells with angular thickenings.Cortex was represented by several layers of loosely arranged parenchyma cells with prominent intercellular spaces. Endodermis was having compactly arranged barrel shaped cells.The phloem and xylem cells located at upper and lower of 3 cell cambium layer respectively.Pith was also represented a group of loosely arranged parenchyma cells.The epidermis layer of leaves were uniseriate with regular size cells, was wrapped with a thick cuticle on the adaxial surface. Complex diacytic and anomocytic type of stomata’s were found. Non-glandular trichomes were found scattered through the entire petiole and leaf blades, are of the conical type, presenting a large base and a thin extremity, and ornamentations on the wall. The vascular system was open, forming a flattened arch in the “V” shape with two accessory bundles located dorsally and groups of idioblasts located laterally in the cortical parenchyma.SEM (Scanning electron microscopy) images and Optical microscopy of Pollens of the Lantana camara L. were also performed.Thepalynological information were recorded as sculpturinglooks smooth and the pollen type is tricolporate. Its shape in polar view is Semi-angular while equatorial view is spheroidal. The polar and equatorial diameter were 34μm (30-40μm) 33μm (30-40μm) respectively.
Estimation of Biomass and Soil Carbon Stock in Pinus roxburghii and Quercus leucotrichophora Forests of District Shimla, Himachal Pradesh
Authors: Verma R. , Kumar Dushyant , . Shilpa
Published: November 2021

A study was conducted to estimate the biomass and soil carbon stock in various sites of Pinus roxburghii Sarg. (Chir pine) and Quercus leucotrichophora A. Camus (Ban oak) forests of district Shimla, Himachal Pradesh during the year 2015-2016. In case of chir pine forests, the amount of carbon stock in Guma site for above ground, below ground, under storey and litter was 80.05, 16.01, 3.24 and 1.55 tC/ha, respectively. Whereas, values of carbon stock at Dhami site were 192.92, 38.58, 1.71 and 1.57 tC/ha, respectively. The biomass as well as the carbon stock was higher at Dhami site than Guma site. The soil organic carbon stock (tC/ha) at 10-15 cm, 15-30 cm and 30-45 cm was 22.45, 19.99 and 12.36, respectively at Guma site. Whereas, these values at different depths were 23.23, 20.17 and 15.59 tC/ha, respectively for Dhami site. The value of total soil carbon stock was more (58.98 tC/ha) at Dhami site than Guma site (54.80 tC/ha) upto 45cm depth. In case of Ban oak forests, the amount of carbon stock in Taradevi site for above ground, below ground, under storey and litter was 151.27, 37.82, 3.04 and 1.52 tC/ha, respectively. Whereas, values of carbon stock at Koti site were 74.25, 18.56, 1.24 and 1.26 tC/ha, respectively. Total biomass as well as the carbon stock was higher at Taradevi site than Koti site. The soil organic carbon stock (tC/ha) at 10-15 cm, 15-30 cm and 30-45 cm was 42.07, 29.70 and 14.78, respectively at Tardevi site. Whereas, these values for three depths were 36.60 , 27.72 and 18.72 tC/ha, respectively for Koti site. The value of total soil carbon stock was more at Tardevi site (86.55 tC/ha) than Koti site (83.04 tC/ha).
Phyllanthus simplex var. gardnerianus (Wight) Müll. Arg. (Phyllanthaceae): New Record for the Eastern Ghats, India
Authors: Dhatchanamoorthy N. , Balachandran N.
Published: November 2021

Phyllanthus simplex var. gardnerianus (Phyllanthaceae) is a very rare and little-known plant of the peninsular India. It is recorded for the first time for Eastern Ghats of Tamil Nadu. Detailed description with colour photographs are provided in this communication.
Incidence and impact of Sahyadrassus malabaricus (Moore) on planted seedlings of Dipterocarpus bourdillonii Brandis
Authors: Jose P.A. , Sanil M.S. , N.M. Binoy , Swarupanandan K.
Published: November 2021

During post evaluation on the restoration of Diptercarpus bourdillonii, a critically endangered tree of the Southern Western Ghats, Kerala; incidence of Sahyadrassus malabaricus (Moore) (Lepidoptera: Hepialidae) was found out first time as host plant for the insect-pest. The pest had severe impact on survival of planted seedlings and estimated 60-70% loss after 2-3 years of planting. The pest incidence recorded thus becomes the major factor affecting the restoration success of the species in situ compared least occurrence ex situ extent plantation potential of the species.
Recent Changes and Corrections in the Taxonomy of Indian Pteridophytes: Part-1
Authors:   Rua de São Mateus 485 S/C Dt., Fontainhas, Cascais, Portugal, PIN : 2750-141, Fraser-Jenkins Christopher Roy , Kholia Bhupendra Singh ,   Botanical Survey of India, Northern Regional Centre, 192, Kaulagarh Road, Dehradun, Uttarakhand, India, PIN : 248001, Kandel D. R. ,   Dept. of Plant Resources, National Herbarium and Botanical Laboratories, Godavary, Lalitpur, Kathmandu, Nepal, PIN : 248001
Published: November 2021

Taxonomic novelties and changes to Indian Pteridophytes are given briefly here in taxonomic order according to the forthcoming Annotated Checklist of Indian Pteridophytes vol. 3, nearing completion for Summer 2020. We have divided it into two parts, the present first part is from the main text re Families treated in vol. 3, the second part will be from the Appendix of corrections and additions to the previous volumes. Further details of the taxa and references will be given in vol. 3.
Tripogon ashihoi (Poaceae: Chloridoideae), a new species from the Western Ghats, Tamil Nadu, India
Authors:   Botanical Survey of India, Eastern Regional Centre, Shillong, Meghalaya, India, PIN : 793003, Murugesan M. , Arumugum S. ,   Botanical Survey of India, Southern Regional Centre, Coimbatore, Tamil Nadu, India, PIN : 641003, Kabeer K.A.A. ,   Botanical Survey of India, Southern Regional Centre, Coimbatore, Tamil Nadu, India, PIN : 641003
Published: November 2021

A new grass species collected from the Ayyamalai forests, Bolampatti hills of Coimbatore district, the Western Ghats, Tamil Nadu, is described and illustrated here. The new species is morphologically similar to T. bromoides but differs by having the culms up to 90 cm high; 5–28 cm long sparsely scabrid leaves with acuminate tip; spikelets with 6 –10, linear, fertile florets; upper glume 5 –5.5 mm long with ca. 1.5 mm long mucro at apex, lemma elliptic - oblong, 3–3.5 mm long; central awn from sinus 2.3–3 mm long; palea 2-keeled, ciliate, without setae at obtuse apex and anthers 0.9– 1.1 mm long.
Regeneration potential and development of propagation protocol for the threatened Himalayan herb Incarvillea emodi (Royle ex Lindl.) Chatterjee (Bignoniaceae)
Authors: Srivastava Amber
Published: November 2021

Incarvillea emodi is the only herbaceous member of family Bignoniaceae which is endemic to the Western Himalaya. The species is highly habitat specific and its population is gradually declining from all the reported localities of its occurrence. Since it is having both medicinal and ornamental potential, therefore different propagation protocols have been experimented with for mass scale propagation and conservation of this species.
Reappraisal of the genus Cycas L. (Cycadaceae) in Andaman and Nicobar Islands, India
Authors: Singh Lal , Misra Dharam
Published: November 2021

The genus Cycas is reviewed for Andaman and Nicobar Islands. C. andamanica, C. darshii and C. sainathii have been treated as synonyms of C. pschannae, C. spherica and C. zeylanica respectively. Records of C. darshii from Botanic garden Culcutta have been shown to described on the basis of plant under cultivation and claimed natural population in Andaman and Nicobar Islands without any supportive evidence. A taxonomic note a brief discussion on its distribution is also discussed here. Morpho-anatomical and palynological data of C. zeylanica described here is for the first time. A key to the species of Cycas from the Andaman and Nicobar Islands is also provided.
Five species of Dicranaceae Schimper (Dicranales, Bryopsida), New to Bryoflora of Andhra Pradesh
Authors: Sreenath Ananthaneni , Rao Boyina
Published: November 2021

Five species of Dicranaceae viz., Campylopus ericoides (Griff.) A. Jaeger, C. fragilis subsp. goughii (Mitt) J.P. Frahm, C. introflexus (Hedw.) Bird., C. subfragilis Renauld & Cardot and Thysanomitrion involutum (Müll. Hal.) P. dela Varde, collected from different localities of Chittoor and Visakhapatnam districts, are being reported here as new distributional records to the state of Andhra Pradesh.
Extended Distribution of Endemic Taxon Trigonostemon viridissimus var. chatterjii (Euphorbiaceae) in Arunachal Pradesh, India
Authors: Panday Samiran , Kumar Vikas , Dash Sudhansu , Sinha Bipin
Published: November 2021

Trigonostemon viridissimus var. chatterjii (Deb & G.K. Deka) N.P. Balakr. & Chakrab. (Euphorbiaceae), a rare and endemic taxon is reported here as a new distributional record for the state Arunachal Pradesh. It was earlier known only from two localities of Meghalaya in India. Detailed taxonomic description along with field photographs are provided for its easy identification.
Physalis angulata Linn. var. pendula (Rydb.) Waterf. (Solanaceae): A new record for Odisha, India
Authors: Mallia Madhusmita , Kalidass Chinnamadasamy , Panda Pratap
Published: November 2021

Physalis angulata L. var. pendula (Rydb.) Waterf. is reported for the first time for the flora of Odisha. A detailed description, nomenclature, phenology and ecology along with photos are provided for its easy identification.
Extended distribution of Peristylus richardianus Wight (Orchidaceae) in Palakkad District, Kerala
Authors: Saravanan T. , Kaliamoorthy S.
Published: November 2021

Peristylus richardianus Wight, is reported here as addition to the flora of Palakkad District, Kerala. Brief description and photographs are provided for easy identification of the species.
Fuzzy Clustering and Classification based Iris Recognition: A Medical Application
Authors:   Department of Computer Applications, Alagappa University, Karaikudi, India, Shankar K.
Published: November 2021

The Iris based authentication framework is basically a pattern recognition strategy that utilizes iris designs, which are factually unique. In this study, an efficient iris recognition system is developed with the help of Possibilistic Fuzzy C-Means Clustering (PFCM) and Fuzzy Logic classifier (FLC). The proposed methodology consists of four modules namely, pre-processing, segmentation, normalization and recognition. Initially, in the pre-processing module, the input images are adjusted to do further processing. Then, we segment the iris region from the input image with the help of PFCM. After that, the segmented image is normalized with the help of the Daugman Robber Sheet Model (DRS). Finally, the iris image is recognized with the help of FLC. The performance of the proposed methodology is analyzed in terms of different metrics namely, accuracy, false acceptance ratio (FAR) and false rejection ratio (FRR). Experimental results demonstrate, proposed PFCM+FLC method attains a better accuracy of 97.5%
A Survey on Machine Learning Techniques for Supply Chain Management
Authors:   Faculty of Engineering, Zagazig University, EGYPT, .. Amal F.Abd El ,   Department of Decision Support, University of Zagazig, EGYPT,   Faculty of Computers and Informatics, Zagazig University, EGYPT, Zaki Shereen , Kamal Esraa
Published: November 2021

Machine learning arose from the increasing ability of machines to handle large amounts of data over the last two decades, and some machines could also identify hidden patterns and complicated associations that humans couldn't, allowing them to make rational and precise decisions, especially for disruptive and discontinuous data. In several areas of decision-making, machines could produce more reliable outcomes than humans and have already begun to replace them. Machine learning, which is widely recognized as a breakthrough technology, has recently made significant progress in improving supply chain management processes and efficiency. From planning to delivery, machine learning may be applied at different stages of the supply chain management process. Machine learning types are supervised, unsupervised, reinforcement. Each type has many tools which are discussed below in detail. This paper presents a detailed survey on machine learning techniques for supply chain management including supply chain and supply chain management interpretation, machine learning definition, its types, and some algorithms that belong to it.
Ethics in the Financial Industry
Authors:   B.tech Data Science, , NMIMS’  School of Technology Management and Engineering; India, .. Kopal ,   B.tech Data Science, NMIMS’ School of Technology Management and Engineering ; India,   B.tech Data Science, NMIMS’ School of Technology Management and Engineering,; India, .. Vidhi , Laddha Kartikay
Published: November 2021

The word ‘Ethics’ carries a very sensitive structure which affects even the smallest factor in a situation and also it carries a huge sum of responsibility. It is an entity which could stir a situation in a person’s or company’s favour or not and it also holds an adverse effect in general. Ethical conduct is absolutely vital. Regular reforms to the code of ethics may combat the unethical behaviour in the industry but that alone is not sufficient. Individuals and firms must develop a particular code of conduct and abide by them and it should be applicable to all levels of their operations. This will help individuals and firms to promote the principles of stewardship of investor assets and work towards the betterment of clients. For the Financial Industry, Ethics is not only the pillar of trust but also it is the ladder to success. Through the careful literature survey, it lists some of the discussions of important ethics in the Financial and Business sector.
Internet Financial Risk Early Warning Based on Big Data Analysis
Authors:   American University in the Emirates, Dubai, UAE, Metawa Noura ,   Faculty of Commerce, Mansoura University, Egypt, Metawa Saad
Published: November 2021

Internet financial risk prevention is an important area for financial risk prevention. In recent years, a series of vicious high-risk events, such as cash lending and P2P platform running, have caused a great negative impact on the reputation of the Internet financial industry, which has aroused great concern from all walks of life. Based on big data analysis technology, this paper constructs an improved algorithm model, and carries out high-precision risk warning for China's Internet financial risk. The forecast data is basically consistent with the actual situation, and the prediction accuracy reaches 90%. It can be seen that the improved model based on the decision tree algorithm has higher prediction accuracy for Internet financial risk warning. This paper systematically sorts out the risks of China's Internet finance from two dimensions: risk type and main risk. And pointed out that the current Internet finance industry in China has a large overall compliance risk, and insufficient infrastructure construction leads to fraud risks. Separate industry supervision has a regulatory vacuum, arbitrage risks are more obvious, and China's financial consumer quality is not high, Internet financial institutions Improper exemption is risky. On this basis, it is proposed to speed up the construction of a multi-integrated Internet financial risk prevention system including the internal risk control system, the industry association self-discipline system, the government administrative supervision system and the effective social supervision system.
New Model of Sustainable Supply Chain Finance Based on Blockchain Technology
Authors:   Department of Computer Sciences, University of Novi Pazar, Serbia, Saracevic Muzafer ,   Jilin University of Finance and Economics, Changchun 130117, China,   International University of Novi Pazar, Novi Pazar, Serbia,   International University of Novi Pazar, Novi Pazar, Serbia, Wang Nan , Zukorlic Elma Elfic , Becirovic Suad
Published: November 2021

Blockchain technology has received more and more attention from all walks of life and has also been sought after by the market and financial institutions. More and more financial institutions and Internet companies have begun to participate in the research of blockchain technology. The application scenarios are also constantly expanding, and the landing in the financial field is the focus of all social concerns. This article takes Agricultural Bank as an example, analyzes its current advantages and disadvantages in using blockchain technology, and proposes policy recommendations based on this to provide a reference for joint-stock commercial banks to better use blockchain technology to improve business performance. Based on the theoretical analysis, this article studies the use of blockchain technology by joint-stock commercial banks, and selects Agricultural Bank, which has a well-developed financial technology in joint-stock commercial banks, as a case study. From the operating background of the agricultural bank and the cross-border payment and settlement business, the background begins with the agricultural bank's own business practices in blockchain technology and the traditional cross-border business and the innovative development of agricultural bank's blockchain technology, and then the application of event analysis to the application effects of agricultural bank's blockchain technology analysis. This paper analyzes the SWOT-PEST of the agricultural bank's use of blockchain technology, combined with the theoretical analysis of blockchain technology in this article, comprehensively analyzes the agricultural bank's use of blockchain technology in four aspects: policy, economy, society, and technology. Strengths, weaknesses, opportunities, and challenges. Through analysis, we can have a comprehensive view on the application of blockchain technology by Agricultural Bank, and based on this, we can summarize the problems that Agricultural Bank may have in applying blockchain technology. Through the analysis of the blockchain, we can see that the growth rate of agricultural bank's net profit was higher in 2013 and 2014. Finally, the article puts forward suggestions for the development of agricultural bank under the blockchain technology.
Systematic Review on Human Gait Analysis using Deep Learning Models
Authors:   Department of Computer Science & Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, Madhya Pradesh, India, Shukla Piyush Kumar , Shukla Prashant Kumar ,   Department of Computer Science and Engineering, K L University, Vijayawada, 29-36-38, Museum Rd, Governor Peta, Andhra Pradesh, India
Published: October 2021

Human Gait is known as a behavioral characteristic of humans, compared with the other biometrics gait is found to be a difficult process to conceal. Human gait analysis is usually done by extracting the features from the body. Analysis of gait involves evaluating the individual by means of kinematic analysis while walking along a surface. The main objective and the purpose of gait recognition is to give the best method where risks are recognized in places where there is a need for high security in any public place and to detect diseases like Parkinson’s. In order to acquire a normal person’s identification and validation performance, various Deep Learning techniques are totally studied and modeled the biometrics of gait which is based on walking data. It is reviewed that among various essential metrics that are used, deep learning convolution neural networks are typically better Machine Learning models. The main objective of the present study was to examine in detail individual gait patterns. Finally, this paper recommends deep learning methods and suggests the directions for future gait analysis and also for its applications.
Patient Health Monitoring Using Feed Forward Neural Network With Cloud Based Internet of Things
Authors:   Department of Computer Science & Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, Madhya Pradesh, India,, Shukla Piyush Kumar ,   Department of Computer Science and Engineering, K L University, Vijayawada, 29-36-38, Museum Rd, Governor Peta, Andhra Pradesh, India, Shukla Prashant Kumar
Published: November 2021

The healthcare sector is under pressure to embrace new technologies that are available on the market in order to enhance the overall quality of their services. Telecommunications systems are combined with computers, interconnection, mobility, data storage, and information analytics. Technology that is centred on the Internet of Things (IoT) is the order of the day. Because of the limited availability of human resources and infrastructure, it is becoming more necessary to monitor chronic patients on a continual basis as their conditions worsen. A cloud-based architecture, which can handle all of the aforementioned concerns, may offer effective solutions to the health-care sector. In order to create software that combines cloud computing and mobile technologies for health care monitoring systems, we have set a goal of developing software. A technique developed by proposed method is used to extract steady fractal values from electrocardiogram (ECG) data, which has never been tried before by any other researcher in the area of creating a computer-aided diagnostic system for arrhythmia. Based on the findings, it can be concluded that the support vector machine has achieved the highest possible classification accuracy for fractal features. While being compared to the other two classifiers, which are the feed forward and feedback neural network models, the support vector machine outperforms them both. In addition, it should be highlighted that the sensitivity of the feed forward neural network and the support vector machine provide results that are comparable (92.08 percent and 90.36 percent, respectively).
Pollution Reduction using Intelligent Warning Messages in VANET
Authors:   Faculty of Computers and Information, Mansoura University, Mansoura, Egypt, Elhishi Esraa Al-Ezaly, Ahmed Abo-Elfetoh and Sara
Published: November 2021

Many conferences all over the world about environmental protection are situated. Air pollution resulted is an urgent issue for all people on the earth. Crowded cars in the intersections in traffic light intersections are one of the causes of air pollution. Also, rapid accelerations and deacceleration in the intersection cause air pollution. They also lead to packet transmission delay. This paper treats these issues using an intelligent warning message which reduces crowded cars, rapid accelerations, and deacceleration. Using vehicular ad hoc networks (VANETs), intelligent warning messages are used. Results show that our system outperforms previous studies such as traffic light control and pre-timed method in transmission delay, CO2 emission which causes air pollution.
A Proposed AI-based Algorithm for Safety Detection and Reinforcement of Photovoltaic Steel
Authors:   School of Theoretical & Applied Science, Ramapo College of New Jersey, USA, Alwan Ali A. ,   American University in the Emirates,  Dubai, UAE, Abualkishik Abedallah Zaid
Published: November 2021

In the era of fossil energy depletion and increasing environmental pollution, clean and renewable new energy represented by photovoltaic power generation has become an increasingly important part of multinational companies’ energy structure. With the advent of the era of photovoltaic parity, the use of photovoltaic tracking systems has become the best choice for many new large-capacity power stations. The cost of the support occupies a very large proportion in the investment of the entire power station construction. Therefore, the rationality of the design of the support, cost control and service life have become important ways for competition in the photovoltaic support industry. Based on the above background, the research content of this article is the application of artificial intelligence algorithms in the safety detection and reinforcement of photovoltaic steel supports. To be able to pass the monitoring data, this paper applies intelligent algorithms to perform faster and more accurate safety inspections on photovoltaic steel supports while minimizing labor costs, and to strengthen the photovoltaic steel supports, this paper chooses neural networks as the basic algorithm A structural model of a photovoltaic steel support was proposed. Finally, experimental simulations showed that the wavelet neural network reached 93.87%. Compared with traditional neural networks, wavelet neural networks perform better in fault prediction accuracy, but the speed needs to be improved. The method proposed in this paper has successfully completed the diagnosis of each component of the photovoltaic bracket in the safety inspection of the photovoltaic steel bracket, and meets the immediateness and accuracy required for the safety inspection of the photovoltaic bracket.
Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data
Authors:   Department of Computer Science, College of Computer Sciences & Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia, admin admin
Published: November 2021

Recently, the security of heterogeneous multimedia data becomes a very critical issue, substantially with the proliferation of multimedia data and applications. Cloud computing is the hidden back-end for storing heterogeneous multimedia data. Notwithstanding that using cloud storage is indispensable, but the remote storage servers are untrusted. Therefore, one of the most critical challenges is securing multimedia data storage and retrieval from the untrusted cloud servers. This paper applies a Shamir Secrete-Sharing scheme and integrates with cloud computing to guarantee efficiency and security for sensitive multimedia data storage and retrieval. The proposed scheme can fully support the comprehensive and multilevel security control requirements for the cloud-hosted multimedia data and applications. In addition, our scheme is also based on a source transformation that provides powerful mutual interdependence in its encrypted representation—the Share Generator slices and encrypts the multimedia data before sending it to the cloud storage. The extensive experimental evaluation on various configurations confirmed the effectiveness and efficiency of our scheme, which showed excellent performance and compatibility with several implementation strategies.
A Trustworthy Learning Technique for Securing Industrial Internet of Things Systems
Authors:   Faculty of Engineering, Fayoum University, Egypt, Maher Osama ,   University of New South Wales, Canberra, ACT 2600, Australia, Sitnikova Elena
Published: November 2021

Since the Industrial Internet of Things (IIoT) networks comprise heterogeneous manufacturing and technological devices and services, discovering advanced cyber threats is an arduous and risk-prone process. Cyber-attack detection techniques have been recently emerged to understand the process of obtaining knowledge about cyber threats to collect evidence. These techniques have broadly employed for identifying malicious events of cyber threats to protect organizations’ assets. The main limitation of these systems is that they are not able to discover and interpret new attack activities. This paper proposes a new adversarial deep learning for discovering adversarial attacks in IIoT networks. Evaluation of correlation reduction has been used as a means of feature selection for reducing the impact of data poisoning attacks on the subsequent deep learning techniques. Feed Forward Deep Neural Networks have been developed using across various parameter permutations, at differing rates of data poisoning, to develop a robust deep learning architecture. The results of the proposed technique have been compared with previously developed deep learning models, proving the increased robustness of the new deep learning architectures across the ToN_IoT datasets.
INTERAÇÃO VERBAL E ESCRITA: REORGANIZAÇÃO DA ORALIDADE DE UM SUJEITO COM AFASIA
Authors: Santana Lucélia Teixeira Santos
Published: November 2021

Este trabalho apresenta o estudo de caso de um sujeito afásico (OJ), que foi acompanhado longitudinalmente, sob os pilares da Neurolinguística Discursiva (ND). A ND apresenta uma abordagem discursiva da linguagem, observando a língua em funcionamento e as ações do sujeito ao (re) organizar a linguagem, após ser acometido por patologias que deixaram como sequelasdificuldades linguísticas. O nosso objetivo principal foi analisar se a escrita, como modalidade linguística, poderia ser utilizada como um suporte para a oralidade deste sujeito, com a finalidade de realizar intervenções linguísticas para que ele seja inserido novamente na sociedade com a oralidade. Destacamos as características singulares deste caso, apontando para todos os tipos de mecanismos utilizados por este sujeito para ser compreendido, principalmente a escrita. A nossa hipótese, ao iniciar o acompanhamento, era o de que a escrita, elemento de ordem diferente da oralidade, poderia vir a ser empregada como auxiliar no momento falho da oralidade. Os dados nos mostraram que a escrita, assim como os outros elementos linguísticos como a prosódia, os gestos e a leitura não estão dissociados da oralidade, todos se complementam, dando sentido e materializando a subjetividade do homem como um ser de relações e de individualidades. O sujeito (OJ) faz uso da escrita, não como as normas preveem, para construir textos; ele usa a escrita para falar com o outro, e uma vez compreendido, sai da escrita e volta para a oralidade. Enfatizamos, ao final do trabalho, que, ao olhar a linguagem do sujeito afásico de forma discursiva, considerando todos os tipos de estratégias utilizadas por ele para se fazer entender, é possível ter uma visão ampla do funcionamento da linguagem, colaborando, tanto para o desenvolvimento de atividades que o levem a driblar a própria dificuldade, como também, colaborar para a expansão das discussões em torno destas questões linguísticas que envolvem as patologias da linguagem, incluindo e afirmando que sempre há um sujeito ativo na linguagem.
 
Como citar:
SANTANA, Lucélia Teixeira Santos. Interação verbal e escrita: reorganização da oralidade de um sujeito com afasia.  Orientadora: Nirvana Santos Ferraz Sampaio.  2015. 76f. Dissertação (mestrado em Linguística) – Universidade Estadual do Sudoeste da Bahia, Programa de Pós-graduação em Linguística, Vitória da Conquista, 2015. DOI:https://doi.org/10.54221/rdtdppglinuesb.2015.v3i1.65. Acesso em: xxxxxxxx
HAM (HAK ASASI MANUSIA) DALAM ISLAM
Authors: Malaka Zuman
Published: November 2021

Sebenarnya masalah hak asasi manusia bukanlah merupakan masalah baru bagi masyarakat dunia, karena isu hak asasi manusia sudah mulai dilontarkan sejak lahirnya Magna Charta di Inggris pada tahun 1215, sampai lahirnya Piagam Perserikatan Bangsa-Bangsa tentang Hak Asasi Manusia, yaitu Universal Declaration Of Human Right pada tanggal 10 Desember 1948, tetapi ternyata jauh sebelum lahir Magna Charta di Inggris tahun 1215, sebenarnya di dunia Islam telah terbit dahulu ada suatu piagam tentang hak azasi manusia yang dikenal dengan Piagam Madinahdi Madinah pada tahun 622, yang memberikan jaminan perlindungan hak azasi manusia bagi penduduk Madinah yang terdiri atas suku dan agama.

Sesudah perang dingin arus gelombang hak asasi manusia semakin melanda seantero dunia, malah kadang-kadang negara-negara barat terkesan ingin melaksanakan penerapan konsep hak asasi manusia menurut pandangan mereka terhadap negara-negara lain, tanpa memperhatikan keanekaragaman tata nilai, sejarah, kebudayaan, system, politik, tingkat pertumbuhan sosial dan ekonomi, serta faktor-faktor lain yang dimiliki bangsa yang bersangkutan.
The DESIGN AND DEVELOPMENT OF COMBAT ROBOT SYSTEM ON THE CIA VERSION N2MR3 USING THE INTERNET OF THINGS (IOT) BASED RASPBERRY PI 4.0
Authors: Penu Melkianus , Gunawan Petrus , Huda Muhamat Maariful
Published: November 2021

Abstract - Along with the rapid development of science and technology, including robot technology. It can lighten and help the work done by humans. In the military world, the role of robots is indispensable both in peace and in war. This research was carried out using a pure experimental method on the Design of a Propulsion System for Combat Robots using the Internet of Things (IoT) Based on Raspberry 4.0. The working principle of this combat robot is based on data sent using MiFi (Tx) which will then be processed using Raspberry 4.0 and transmitted to MiFi (Rx) via the Internet of Things (IoT). Furthermore, the data received will be processed so that the driving system will produce driving force using a differential drive system, the difference in rotation of the driving motor is regulated by the microprocessor to the MY 1061 speed control, the pulse signal sent by the Raspberry Pi will regulate the amount of current sent to the DC motor so that the motor can turn left and right.
The HARDNESS POLYURETHANE AND NATURAL RUBBER EFFECT ON ADHESIVENESS OF AIRLESS TIRES
Authors: Annas Assyifa , Saefullah Lalu , Hidayat Muhammad Iman
Published: November 2021

Abstract: Airless tires are the best innovation for military tactical vehicles in carrying out the Army's main tasks for military tactical even peace support operations and war military operations. However, in its development there are still imperfections in the results, its fabrications in the adhesion between polyurethane and natural rubber. Therefore, the researchers aimed to develop the adhesion between polyurethane and natural rubber. In this research, a quantitative experimental method was used, namely by varying the hardness of natural rubber and polyurethane to determine the right hardness for airless tires for maximum adhesion. The problem that occurs is that the adhesive glue with the tire tread is problematic, resulting in a tire tread condition without air being released. In carrying out the research, a function test was carried out with a planned weight of 4,500 Kg. Based on the results of the tests that carried out, the correct result was obtained, namely the elongation at break of the most appropriate type of polyurethane L100, which was 9.287 MPa. In order to achieve the goal, namely the appropriate level of elasticity between polyurethane and natural rubber so as to be able to glue the spokes and tire treads, in the end the wheel rotation will rotate according to the desired elasticity.
The COMPOND COMPOSITION OF AIRLESS TIRE TREAD (AIRLES TYRE)
Authors: Kurniawan Hamzah , Saefullah Lalu , Hidayat Muhammad Iman
Published: November 2021

The tire without air is a tire that has a very extraordinary influence on the units of vehicle users, both public vehicles and tactical vehicles in the military. In addition to being used in the field of duty, this airless tire can be used for other supporting vehicles of army so there are not many obstacles during operations. Therefore, it takes good materials and proper calculations in making this airless tire tread so that in the future there are no obstacles when using it. The research methods used are experimental methods and field studies. The study was conducted repeatedly and the data was taken directly in the field. After mechanical testing of the rubber material is done to find out the physical properties of the strength of the material. Furthermore, the entire printing and assembly process is carried out and tested on the vehicle, for the conclusion of static analysis of rubber sample material that has been done has determined the proper hardness for the material connected with polyurethane, the appropriate hardness for this rubber is 80 KN/mm. The process has been tested from each sample of rubber hardness variations and the results are determined, in addition to rheometer testing or maturation process takes 5 minutes and is given a temperature of 100 °C and is assisted by hydraulic so that air from volcanic rubber is lost with the help of hydraulic pressure.
MERAYAKAN Å abbÄt, HARI SABAT, TAHUN SABAT & TAHUN YOBEL Inspirasi Biblis Peduli Ekologi
Authors: Stanislaus Surip
Published: October 2021

Ilmu pengetahuan dan teknologi di satu sisi telah memajukan perababan dan memberi kenyamanan hidup manusia. Di sisi lain keduanya telah menyulut dan memicu kerakusan manusia untuk mengeksploitasi alam dan melahirkan krisis ekologi. Masalah ekologis ini merupakan dampak negatif dari penggunaan ilmu dan teknologi yang tidak tepat guna. Merayakan Hari Sabat, Tahun Sabat dan Tahun Yobel sebagaimana telah dipraktekkan bangsa Israel dapat menjadi inspirasi bagi kita untuk peduli ekologi. Å abbÄt Allah (Kej 2:1-3) yang menjadi mahkota dari karya penciptaan dalam Kej 1:1-2:4a dan perkembangan selanjutnya dalam Kel 20:8-11 bukan semata-mata untuk keperluan-Nya sendiri, tetapi sebagai model bagi manusia yang harus menahan diri dari kerjanya dan membatasi diri dari sepak terjang kehidupannya. Dengan merayakan Å¡abbÄt manusia bukan saja beristirahat dari kerja tetapi juga beristirahat untuk menikmati sukacita atas segala pemberian Allah dan beribadat kepada-Nya. Norma-norma tentang Hari Sabat, Tahun Sabat dan Tahun Yobel menyajikan pengistirahatan, pembebasan dan pemulihan dari tindakan-tindakan yang eksploitatif baik terhadap tanah, orang dan budak maupun binatang, sehingga orang yang merayakannya dapat terinspirasi untuk peduli ekologi
Manajemen Humas dalam Meningkatkan Peran Komite Sekolah di PAUD Sabila Ponorogo
Authors: Werdiningsih Wilis
Published: November 2021

School and community are two inseparable things. The community needs schools to educate their children, while schools need the community to support their vision and mission. Therefore the management of school relations with the community (public relations) is an effort of the school to increase good cooperation between schools and the community. This study aims to analyze the implementation of public relations management in schools in increasing the role of school committees. This research uses a qualitative approach, with a type of case study. The results showed that public relations management carried out by schools properly,could increase the role of school committees. The optimal role of the school committee can be to increase effective communication between the school and the guardians of students and can support the implementation of school programs so that educational goals will be easier to achieve.