bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical Observations of Folklore Treatment Regimen in the Management of Female Infertility
Authors: Arjun Bhagwan  , Bharathi Kumaramangalam  , Khushboo Jha
Published: June 2022

Infertility is a global public health issue with an estimated prevalence of infertility ranging from 3.5% to 16.7% in more developed nations and from 6.9% to 9.3% in less developed nations. Female fertility is achieved by coordinated and synchronized functions of Garbha Sambhava Samagri. This synchronization may get disrupted due to various factors or dysfunction of reproductive tract like Artavadushti, Asrugdara, neuroendocrine system like Apanavayu vikruti, and immune system or by any severe systemic disease. 

According to Ayurveda, essential factors to achieve fertility are described as Garbha Sambhava samagri, incorporating disease free Kshetra, Rutu, Ambu and Bija and normal psychology (mind) and regulated Vata function at the general as well as specific level are also essential. Many formulations are described in Ayurvedic texts for the management of Infertility. But in the present paper an attempt is being made to present clinical observations of one folklore regimen comprising Jatiphala churna (given three days during Rutukala) and Ashvattha Jata (given during secretary phase). Clinical observations of four infertility cases are presented in the present paper; among the four, three are primary infertility cases and one secondary infertility case. Among the four, two cases got conceived and in two cases regularization of menses, ovulation induction observed. On overall observation, this regimen is giving encouraging results.
Pharmacovigilance for Non-Poisonous Herbal Drugs
Authors: Sunitha M P  , Akshatha M  , Nischal P
Published: June 2022

Background: An increased importance for the pharmacovigilance of herbal medicines is seen in current times because of the growing demand for the herbal products and herbal medicines globally.

Design: This involves an in-depth study of pharmacovigilance of herbal drugs from the sources such as PubMed, Google Scholar, websites etc. and also classical Ayurvedic Granthas like Charaka Samhita, Sushrutha Samhita, Ashtanga Hridaya and Dravyaguna Vijnana etc

Observations: Knowledge of Aushadha Dravya with respect to its Nama (nomenclature), Rupa (morphology), Guna (qualities of the drug) includes all the factors that prevents adverse drug reactions.

Conclusion: The integration including classical methods of safety assessment tools and modern technology together if adopted, the general notion of public i.e., herbal drugs are safe can be made true. Thus, even a poisonous drug can be used in therapeutics just like ambrosia for a specific diseased condition without any adverse effect as told in Ayurveda
Role of Pradhamana Nasya in Tridoshaja Pratishyaya w.s.r to Chronic Sinusitis
Authors: Chander lata  , Anil Bhardwaj
Published: June 2022

Sinusitis is considered as one of the most common clinical conditions among chronic diseases. Modification in lifestyle, rise in the cases of antibiotic resistance, deviated nasal septum, nasal polyps, tumors etc. are responsible for increased prevalence of sinusitis. Sinusitis affects 10-30% population whereas Chronic Sinusitis affects approximately 12.5% population each year. Women are more affected in comparison with men. Feature of Sinusitis can be co-related with Tridoshaja Pratishyaya. Acharya Sushruta has mentioned Pratishyaya under 31 Nasagata rogas. In modern science, sinusitis is managed with antibiotics, nasal decongestants sprays, corticosteroids, analgesics etc. Excessive use of decongestant sprays can cause rebound congestion. Person may become resistant to antibiotics. Repeated attacks of sinusitis and fear of surgery may cause depression to the patient. Permanent cure of sinusitis can be achieved through Ayurvedic management. In Brihat Samhita, Nasya has been considered as effective treatment modality for all kinds of Urdhava Jatrugata rogas (diseases of supra clavicular region). Acharya Charaka in Chikitsa Sthana has mentioned Pradhamana Nasya for the management of Kapha Pradhan Pratishyaya.  In the present case study, a patient with the symptoms of Kapha Pradhan Tridoshaja Pratishyaya was treated with Manashiladi churna Pradhamana Nasya. Patient got complete relief in sign and symptoms.
Prospecção de herbicidas em pós-emerência na cultura do alho (Allium sativum L.)
Authors:   , Barbosa Amanda Rocha
Published: June 2022

O manejo eficiente de plantas daninhas é indispensável para a obtenção de produtividade e qualidade na cultura do alho. O controle químico é comumente adotado em pré e pós-emergência da cultura, todavia, o único herbicida registrado em pós-emergência no controle principalmente de folhas largas (dicotiledôneas), o ioxynil, foi descontinuado do mercado brasileiro. Diante disso, objetivou-se neste trabalho avaliar a seletividade de herbicidas na cultura do alho, aplicados em pós- emergência. Para isso a pesquisa foi conduzida em duas etapas, a primeira em casa-de-vegetação na Universidade Federal de Viçosa campus Rio Paranaíba em que foi realizada a seleção dos potenciais herbicidas para a etapa de campo. Na segunda etapa, foram conduzidos experimentos em três áreas experimentais distintas localizadas na região do Alto Paranaíba-MG com 11 tratamentos em esquema de blocos casualizados com 4 repetições. Foram realizadas duas aplicações dos herbicidas, quando as plantas de alho se encontravam com 2 e 4 folhas, sendo: oxyfluorfen 48 e 36 gha -1 (vazão 300 Lha -1 ); oxyfluorfen 48 e 36 gha - (vazão 600 Lha -1 ); flumioxazin 15 e 10 gha -1 ; glyphosate 144 gha -1 e 144 gha -1 ; oxadiazon 100 gha -1 e 50 gha -1 ; linuron 180 gha -1 e 90 gha -1 ; nicosulfuron 12 mLha -1 e 6mLha -1 ; prometryne 300 mLha -1 e 300 mLha -1 ; prometryne 500 mLha -1 e 500 mLha -1 ; pendimenthalin 910 gha -1 e 910 gha -1 e controle (capinado). A campo, foram avaliadas as injúrias na parte área aos 15 e 30 após a primeira aplicação (DAA), índice SPAD nas folhas 2 e 4 aos 15 DAA, diâmetro do pseudocaule aos 30 DAA, classificação comercial e produtividade de bulbos. No geral, observou-se que, apesar das elevadas de injúrias, o oxyfluorfen (vazão 300 e 600 Lha -1 ) e o flumioxazin não afetaram a produtividade total e a classificação comercial de bulbos de alho. Os herbicidas linuron, oxadiazon e pendimenthalin causaram danos leves nas plantas de alho e não afetaram a produtividade total e a classificação comercial de bulbos. Os herbicidas oxyfluorfen, flumioxazin, glyphosate, oxadiazon, linuron, nicossulfurom, prometyne e pendimenthalin apresentaram potencial para serem aplicados em pós-emergência da cultura do alho. Palavras-chave: Controle químico. Plantas daninhas. Injúrias. Hortaliças.
Keberkesanan Think-Pair-Share Terhadap Motivasi dan Penglibatan Murid dalam Penguasaan Penulisan Bahasa Malaysia Sekolah SJK(C)
Authors: Low Huei Shin , Mydin Kutty Faridah
Published: June 2022

Motivasi merupakan elemen penting dalam mendorong dan mempengaruhi cara seseorang untuk bertindak bagi mencapai sesuatu yang dimatlamatkan. Dalam perkembangan bahasa, aspek motivasi memainkan penting bagi mempengaruhi kesungguhan murid belajar sesuatu bahasa terutamanya bahasa kedua kerana sikap yang positif untuk mempelajari bahasa kedua terbentuk daripada motivasi yang tinggi. Namun, penguasaan mata pelajaran ini menjadi kekangan terutamanya murid bukan penutur natif kerana mereka kurang bermotivasi untuk meningkatkan kemahiran khususnya kemahiran penulisan dalam mata pelajaran ini. Justeru, kajian tindakan ini bertujuan melihat keberkesanan strategi think-pair-share, salah satu pembelajaran koperatif bagi meningkatkan motivasi dan penglibatan murid dalam penguasaan penulisan Bahasa Malaysia. Bagi mencapai objektif yang digariskan, pengkaji menggunakan reka bentuk kajian tindakan Kemmis dan Mc Taggart (1988) untuk mengumpul data. Sampel kajian terdiri daripada 20 orang murid Tahun 3 dari sebuah SJK(C) di Ipoh. Data dikumpulkan melalui ujian pra dan pasca, soal selidik serta borang pemerhatian. Data diperoleh telah dianalisis secara secara statistik deskriptif menggunakan perisian Statistical Package for Social Science (SPSS) versi 26.0. Hasil kajian menunjukkan strategi ini berkesan dalam meningkatkan penguasaan penulisan murid bukan penutur natif dalam penulisan Bahasa Malaysia dengan peningkatan markah penulisan dalam ujian pra dan pasca. Hasil dapatan kajian turut membuktikan motivasi murid bukan penutur natif dalam penulisan selepas intervensi adalah tinggi (M=4.20, SD= 0.76) dan penglibatan murid dalam penulisan turut tinggi (M = 4.07 dan SD = 0.64). Hasil kajian ini membuktikan strategi think-pair-share yang bercirikan pembelajaran koperatif dapat meningkatkan motivasi dan penglibatan murid bukan penutur natif dalam penguasaan penulisan mata pelajaran Bahasa Malaysia.
THE USE OF A CELL-FREE PROTEIN SYNTHESIS FOR OBTAINING BACTERIAL DIGUANYLATCYCLASE AND TWO CHIMERIC PROTEINS
Authors: Kazlouski I. S. , Belskaya I. V. , Bulatovskiy A. B. , Zinchenko A. I.
Published: June 2022

The novel promising trend of biotechnology is cell-free synthesis of proteins. Possibility of producing two chimeric proteins: adenosine deaminase of Escherichia coli fused with human annexin-A5, DNA-affine domain of bacteria Sulfolobus solfataricus fused with modified Taq-DNA-polymerase and bacterial enzyme diguanylatecyclase of Thermotoga maritima, by cell-free synthesis procedure as an alternative to conventional cultivation of microbial strains-producers in a bioreactor was studied in this research. Chimeric RNA polymerase of T7 bacteriophage, S30-cell extract of E. coli and multicopy plasmid pET42mut were engaged for protein synthesis by cell-free protein synthesis system. The first successful production of these proteins was demonstrated

in CFPS system.
ROLE OF IRF5 GENE POLYMORPHISM IN PREDISPOSITION TO JUVENILE-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS IN THE BELARUSIAN POPULATION
Authors: Bakutenko I. Y. , Haurylchyk I. D. , Sechko E. V. , Tchitchko А. М. , Sukalo А. V. , Ryabokon N. I.
Published: June 2022

The IRF5 (interferon regulatory factor 5) gene encoding a transcription factor is involved in the regulation of interferon synthesis and other proinflammatory cytokines. It is assumed that the IRF5 gene is associated with juvenileonset systemic lupus erythematosus (jSLE), a chronic autoimmune disease that develops in childhood and differs from the adult subtype of SLE in a number of its manifestations. The aim of the presented work was to conduct a pilot study of IRF5 rs2004640 polymorphism in the population of children in Belarus and its association with the development of jSLE. Genotyping of DNA samples was performed using real-time PCR in a group of patients diagnosed with

jSLE (38 people) and in the clinical control group without autoimmune and inflammatory diseases (378 people). The frequency of the IRF5 rs2004640 minor T allele was determined in the Belarusian population of children (under the age of 17). It was found that the rs2004640 TT genotype is associated with the risk of the jSLE development (OR = 2.27; 95% CI 1.08–4.76; p = 0.035) that after further investigations may improve an early diagnosis of jSLE.
PLEIOTROPIC EFFECT OF MUTATION IN THE GENES INVOLVED
IN THE BIOSYNTHESIS OF LIPOPOLYSACCHARIDES OF ERWINIA
AMYLOVORA PHYTOPATHOGENIC BACTERIA
Authors: Pesotskaya K. Yu. , Lagonenko A. L. , Evtushenkov A. N.
Published: June 2022

In this study, we constructed Erwinia amylovora deletion mutant by waaC, waaD, waaF, waaL, wabK and wabM genes, coding enzymes involved in the synthesis of lipopolysaccharides of the bacteria outer membrane, and investigated the phenotypic manifestation of the resulting mutation. It was demonstrated that the resulting mutant has an increased ability to autoaggregation and biofilms formation, but is characterized by the reduced mobility and levan exopolysaccharide production. In addition, the deletion of genes of lipopolysaccharides biosynthesis led to the loss of the mutant strain virulence. The data obtained indicate the most important role the lipopolysaccharide layer plays in the virulence of E. amylovora bacteria.
DETERMINATION OF MINIMUM SAMPLE SIZE FOR THE PREDICTION OF HUMAN CHRONOLOGICAL AGE
Authors: Kipen V. N. , Bahdanava M. V. , Burakova A. A. , Dobysh O. I. , Zotova O. V. , Koroleva T. S. , Bulgak A. G. , Baida A. V. , Bruskin S. A. , Lemesh V. A.
Published: June 2022

Based on the data presented in the public domain on the GEO-NCBI Platform for 21 projects to determine the genomewide

DNA methylation profile using the Infinium Human Methylation 450K BeadChip (Illumina©), we calculated the prediction error for chronological age values in percentage terms and MAD using three different algorithms: linear regression, generalized regression neural networks and multilayer feedforward neural networks. For each algorithm, we have provided guidelines to select the samples for the study. We have also proved that the minimum and sufficient sample size, an increase in which does not lead to a significant decrease in the MAD value, is at least 200 people.
IMMUNE SYSTEM GENES IN THE APHIS CRACCIVORA KOCH, 1854
GENOME
Authors: Shulinsky R. S. , Bandarenka Y. V. , Voronova N. V.
Published: June 2022

Sequencing results, annotation, and analysis of the mitochondrial genome of Aphis fabae mordvilkoi are demonstrated in this work. It was shown that mtDNA of Aphis fabae mordvilkoi has a structure and size typical of aphids and does not carry any rearrangements identified in other known mitochondrial genomes of aphids of the genus Aphis L.
Association of Chronic Hepatitis C in Type 2 Diabetes Mellitus Patients in HMC Hospital Peshawar
Authors: Afridi Muhammad Hussain , Khan Muhamamd Naeem , Khan Atta Muhammad , Abbass Muhammad , Khan Muhammad Khalid , Gul Wali , Zaib Shah
Published: June 2022

Background: Hepatitis C virus is a blood-borne virus, and the vast majority of infections are the result of blood exposure from unsafe injection practices, poor health care, unscreened blood transfusions, injection drug use, and sexual practices that result in blood exposure. Chronic (CHC) infection is caused by the hepatitis C virus, and affected nearly 198 million people worldwide.

Objective:  To determine whether there was a link between hepatitis C virus infection and Diabetes Mellitus.

Methodology: After receiving approval from the Hospital's Ethical Committee, this study was conducted over a one-year period (15-01-2018 to 16-01-2019) to investigate the relationship between HCV infection and D.M patient reports at the Diabetic Department of Diabetes and Endocrinology HMC Hospital in Peshawar. An enzyme-linked immunosorbent assay (ELISA) was used to measure anti-HCV antibody, as well as glycosylated hemoglobin (HbA1c) and fasting and random blood sugar levels. SPSS version 2.1 was used to analyses the data.

Results: average of all patients ages (n=238) was 51.3811.35 years. Patients were split evenly between males and females, with 128 (52%) males and 110 (48%) females. In the group of type 2 D.M patients who tested positive for hepatitis C by ELISA, 44 (18.8%) had diabetes and 194 (82.2%) did not.

Conclusion: Type 2 diabetes mellitus is more common Chronic Hepatitis C infection, increasing age, and a positive family history of Diabetes Mellitus according to the findings.
Placental weight Birth weight Ratio, in patients with Placenta Previa: A 2 year study in MTI Lady Reading Hospital Peshawar
Authors: Bawar Shandana , Shafqat Tanveer , Hussain S Saima , Qazi Qudsia , Rahim Rehana
Published: June 2022

Purpose: To review the placenta weight birth weight ratio (PWBW ratio) and determine an association between PWBW ratio and gestational age in patients with placenta previa.

Methodology: This descriptive cross sectional study took place in Gynae A unit, Medical Teaching Institute, Lady Reading Hospital, Peshawar, Pakistan, from March 2018 to February 2020.Ethical approval from IRB (institutional review board) was taken before start of study. Patients with genital tract bleeding were admitted throughout patient department and Emergency with 28 weeks gestation and onwards. Diagnosis of placenta previa was confirmed and were included in study after taking consent.

Results: Total of 173 patients with placenta previa were admitted in gynae A. Patients with major placenta previa were 151 (87.2%) while 22 (12.7%) patients had minor placenta previa. Birth weight placental weight ratio was calculated by measuring weight of placenta and baby after the delivery. Most of the patients, 92 (53.2%) had PWBW ratio less than 1:6 (relatively large placenta), patients with BWPW ratio of 1:6 (normal ratio) were 14 (8.1%) and 67 (38.7%) patients had PWBW ratio of 1:6 (relatively smaller placenta). Patients with placenta previa have relatively larger placenta (PWBW ratio less than 1:6) to compensate for lesser vasculature of lower uterine segment. Patients with larger placenta are prone to necrosis and abruption.

Recommendation: igilant antenatal care and surveillance in these patients due to higher incidence of antepartum and postpartum hemorrhage, as well as invasive propensity of lager placenta.
Impact of CT Enhanced Syntax Score (Ctesx) on Grading Complexity of Coronary Artery Disease
Authors: Zarif Bassem , Cherif Ehab , Shafiq Mohammad , Hanafy Marwa Ahmed , Mahmoud Hesham B
Published: June 2022

Purpose: The SYNTAX Score is a crucial tool to grade angiographic complexity and risk stratification of patients for revascularization. Excessive coronary calcification can lead to adverse outcomes after percutaneous coronary intervention (PCI), and it represents an essential part of SYNTAX score calculation. The sensitivity in detecting any CAC by CT is much higher than in ICA. Our purpose is to evaluate the impact of CT-enhanced calcium detection on SYNTAX score in the evaluation of complex coronary anatomy.

Methodology: This study was conducted at Beni-suef University Hospital and National Heart Institute from December 2019 to January 2021. Fifty consecutive male patients were enrolled, Their Coronary CT Angiography showed significant MVD; then, conventional coronary angiography was done. The additive value, rather than the comparative value, of adding Calcification from CT to CA syntax score (CT enhanced SYNTAX (CTeSx)), was assessed regarding its impact on the classification of complexity.

Findings: Using a CTeSX Vs CA Sx results in Lower Possibilities of Low Syntax group (39% vs 24%) (P-value <0.001) and a higher Possibilities of High Syntax score (23% vs 52% P-value 0.004

Recommendation: CTeSX results in a significant change in the percentage of all complexity categories with a higher possibility to categorize complex anatomy.
Surgical Management of Glioblastoma Multiforme
Authors: Ul Haq Ul Haq , Khan Muhammad Idris , Jalal Abdul , Shah Inyat , Khan Musawer
Published: June 2022

Background: Although glioblastoma (GB) is kept up to date, rate of progress is nearly unavoidable. Earlier researches put forward the endurance advantages with removal of GB; but comparatively a small number of literatures have assessed the role of operative intervention in glioblastoma management.

Objective: The aim of this research is to assess the results of surgical resections in patients with glioblastoma.

Methods: Study conducted in Bacha Khan Medical College, Mardan Medical Complex Records were retrospectively identified and reviewed for all individuals that went through gliolastoma biopsy or its removal between Oct 2017 and Dec 2020 to identify 50 progressive GB patients. The Kaplan-Meier method produced median survival and 95 percent CI. The Cox Proportional Risks model was used for the multivarian analysis, which conducted for age, Karnofsky score, extent of resection, and tumor site and tumor multifocality of survival after the advancement of disease.

Results: Patients with progressing illness received first recorded resection. The median survival after progression was 12.8 and 7.0 months for patients who had not received resections at this time. In multivariable analyses, KPS 0.70 (HR 0.438), and surgical intervention were linked with better survival after advancement of glioblastoma.

Recommendations: In the circumstance of present maximum non-operative treatment, operative intervention for advancing glioblastoma is effective in controlling the symptoms but however, the survival of the patients is limited. Further research is required to determine if any, the role of surgical intervention may prolong post-progressive endurance in progressive GB individuals.
Vehicle Crash Detection using YOLO Algorithm
Authors: Wani L. K. , Momin Md Maaz , Bhosale Sharwari , Yadav Abhishek , Nili Manas
Published: June 2022

Car accidents cause a large number of deaths and disabilities every day, a certain proportion of which result from untimely treatment and secondary accidents. To some extent, automatic car accident detection can shorten response time of rescue agencies and vehicles around accidents to improve rescue efficiency and traffic safety level. —Road Accidents, a very common reason of tragic deaths and many times the victim dies due to non-reporting of such accidents to the proper authority. Since the accident was not reported the lack of emergency medical care results in death. We live in an era of technology where we are moving towards making the city, A Smart City. A smart city with smart AI based traffic monitoring and reporting mechanism can help providing medical emergencies in real time and this would result in saving lots of life. Traditional Traffic systems are equipped with IP cameras and sensors, and are already installed in most part of the city to monitor and control traffic. These systems are able to generate traffic tickets automatically. In this paper we are proposing a more advanced traffic monitoring system which can identify and detect moving objects such are cars, bikes etc in live camera feeds and detect collision of these moving objects and immediately send emergency alerts to the nearby authority for them to take necessary actions.
TWITTER ACCOUNT PREDICTION USING MACHINE LEARNING
Authors: Albinaa T. A. , SE Sushnitha.
Published: June 2022

Today’s society is facing numerous cyber security related problems. In advancement of machine learning, C4.5 decision tree algorithm is applied in existing system to predict fake and clone profile in social media. It addresses cyber security needs, but it predicts clone profiles only using blank profile information. So, it achieves only 50-60 percent of accuracy, since most of the fake profiles cannot be detected using this system. Hence system has to be proposed for predicting clone profiles efficiently. This task proposes Random Forest algorithm along with Decision tree algorithm, which efficiently finds fake profile using rule based, attribute-based similarity feature, network-based feature. The system is aimed to achieve more than 80% of accuracy. Cloned profiles can also be detected using their comments and activities performed in social media. This is predicted using RF, and NN algorithm.
Urban Street Cleanliness Assessment using Deep Learning
Authors: R Arunadevi , G Anisha , M Malini , A Merlin Preetha , M Vaishnavi
Published: June 2022

Implementation of smart cities is going on all over India. The key focus in smart city is to automate the tasks required to monitor the management activities and effective usage of resources. One important task in the city management is keeping city clean and the man power utilised for it. An automatic garbage monitoring system would help the administration to plan and allocate work for garbage cleaners in an efficient way. CNN is used to identify the street garbage categories, count the number of garbage. And the system is much efficient manner with accuracy. The results are incorporated into the street cleanliness calculation framework to ultimately visualize the street cleanliness levels, which provides convenience for City Corporation to arrange clean up personnel effectively.
ATIVIDADES DOMICILIARES DIRECIONADAS EM TEMPO DE PANDEMIA: ESTUDO DE CASO EM UM MUNICÍPIO DE RORAIMA
Authors: Silva Monaliza Nayara Ribeiro , Silva Rocha Soares Livia Késsia da
Published: June 2022

Este estudo tem como objetivo compreender as dificuldades que os professores apresentam na elaboração das atividades domiciliares direcionadas, em integrar as diferenças que permeiam o ambiente escolar, acerca de documentos como a Base Nacional Comum Curricular- BNCC e o Documento Curricular de Roraima- DCR/RR? Deste modo, o método adotado nesta investigação é o estudo de caso, operacionalizado pela entrevista estruturada. Os sujeitos da pesquisa são quatro professores de diferentes etapas de ensino da rede municipal.  Um dos desafios é mediar a integração intercultural das aulas e atividades desenvolvidas. O município de Pacaraima/Roraima está localizado na fronteira Brasil/Venezuela e apresenta grande diversidade cultural. Com isso, um plano de trabalho emergencial foi elaborado por gestores, coordenadores e professores resultando na entrega de apostilas sistematizadas e unificadas aos alunos da rede municipal de ensino, ficando evidente que os professores tentam de uma forma ou de outra fazer essa integração intercultural na sua sala de aula.
APPLICATION OF Z-TEST OF HYPOTHESIS ON MODELLING GENDER DIFFERENCE IN CRIME INVOLVEMENT BY BUILDING AND CONSTRUCTION WORKERS IN ADAMAWA STATE NIGERIA
Authors:   Department of Building Technology, School of Environmental Studies,  The Federal Polytechnic Mubi, Adamawa State, Ngalburgi Shittu , T Tika ,   Department of Technology Education, School of Science and Technology Education MAUTECH Yola, Adamawa State
Published: June 2022

The main objective of the study is to examine gender difference in crime involvement by workers in the building and construction industry. Specifically, to show the application of Z-test statistical tool in research. Adamawa state is the area of study and 392 building and construction workers that were convicted for offences of various categories in the area of the study is the population of the study, what is the gender difference in crime involvement by workers in the building and construction industry in Adamawa state? Is the research question. The null hypothesis tested was “there is no significant difference in gender in crime involvement by workers in the building and construction industry in Adamawa State.” The study was based on secondary data extracted from Adamawa State Statistical Year Book 2012 for period of 4 years (20012-2016). Ten crime types that included theft, cheat, trespass, enticement, deformation of character, mischief, force and assault, conspiracy, intimidation, possession of weapons, were considered for the study. The data obtained was analysed and the hypothesis tested using Z-test at 0.05level of significance. The result of the analysis showed that female workers commit less crime than male workers in the building and construction industry in Adamawa state. The study recommended that, there should be Prompt and consistent punishment for male workers offenders so as to help reduce the incidence of male workers crime commitment high rate. Positive motivation of the workers in the building and construction industry in the state was recommended. The significance of the study if published include: 1. Adamawa state building and construction industry managers will benefit from the findings of the study because it had remained them on crime involvement rate by workers in the industry and that may motivate them to include remedies or control measures in the management of their workers. 2. Authors and researchers too, because it will remain them on how and when to apply the Z-test of hypothesis when writing: research reports, journals for publication, and other similar issues. 3. Similar benefit goes to the Building and construction industry stakeholders, in that it can be a source of information to them at home and workplaces on the behaviours of their workers in relation to crime commitment in the industry. 4. Not only the above stated, Building and construction industries workers themselves will learn some lesson when they witness high gravity of punishments being awarded for such offences in the industry as listed above.
INTERNATIONAL CAPITALIST TRADE AS IMPERIALISM: A HISTORICAL REBUTTAL OF JOSEPH SCHUMPETER’S THEORY OF IMPERIALISM
Authors:   Department of History and International Studies,  Imo State University, P.M.B. 2000, Owerri, Chidi Anene
Published: June 2022

The paper is an attempt to use historical facts and narratives to challenge and refute the suppositions of Schumpeter’s theory of imperialism. Using qualitative method of data collection and analysis which involves the use of written sources and content analysis, the paper argue that Schumpeter, in his Eurocentric attempt to exonerate the European merchants from exploitation and underdevelopment of the Third World Countries (TWCs), dissociated capitalist trade from the whims and caprices of imperialism. Having said this, Schumpeter further approximated imperialism to pure political game, mere bellicosity and atavism, which is incongruent with capitalist trade that is rational and laced with clear objectives. The paper therefore, using historical facts concludes that international trade is not only linked with imperialism, but has been implicated as the fulcrum of the political outcome of imperialism.
COMMUNITY FACTORS AND RECIDIVISM IN NIGERIA: A STUDY OF KUJE CORRECTIONAL CENTER ABUJA
Authors:   Department of Sociology Nasarawa State University, Keffi, Yusuf Usman , Ogidi Ambrose ,   Department of Sociology Nasarawa State University, Keffi, Ishaya Daniel ,   Department of Sociology Nasarawa State University, Keffi, Haruna Ibrahim ,   Department of Sociology Nasarawa State University, Keffi, Isah M ,   Department of Sociology Nasarawa State University, Keffi
Published: June 2022

The study examined Community factors and recidivism in Nigeria: A study of kuje correctional center Abuja. The study hard achieved specific objectives which looked at the impact of community based factor such factors could be explain as poverty, unemployment, ghetto area, poor educational background and lack of proper policies and programmes established by the government or any agency have triggered recidivism, the study to assessed the functionality and rehabilitative facilities in the effective programmes in Kuje correctional center. The study highlighted the causes of recidivism among inmates in Kuje Correctional Centre. to examine the inmates’ perception of the basic infrastructural facilities in Kuje Correctional Centre. The study additionally, introduced social survey research design was adopted and questionnaire instrument of data collection was used, 200 questionnaire were administered to inmates in Kuje correctional center, the questions were obtained and answers were provided through the assistance of research assistance which are the workers from the center, for easy interpretations. The study findings revealed that all the respondents were discovered to be male who are virtually single and within age bracket of 18-35 years. The study also discovered that all the available rehabilitative facilities and programmes are functional including educational programme, carpentry, welding, tailoring, games, guardian and counselling, among others. The study further discovered that poverty and lack of proper reintegration programme are the most causal factors in recidivism, the study had made up recommendations that could improve in the standard of living for those inmates so as it would serve as control mechanism for future occurrences
The Optimal Integration of Multiple DGs under Different Load Models using Artificial Bee Colony-Hill Climbing Algorithm
Authors: Mallaiah Lokesh , Kulkarni Ananth D. , Prasad Babu Rajendra , Tammaiah Ananthapadmanabha
Published: June 2022

With the continual advances in technologies, there is a significantly increased demand for electricity leads to a drastic increase in usage and penetration of DGs into the distribution network. The incorrect addition of DGs into the distribution system resulting in declining stability, power losses, voltage profile, reliability, and power quality of the system. Therefore, the optimal planning of DGs (OPDG) has always been under constant investigation and development for the maximum beneficiary. The proposed framework presents a novel meta-heuristic hybrid optimization technique called Artificial Bee Colony-Hill Climbing (ABC-HC) to find the best siting and sizing of multiple DGs using a weighted multi-objective function which includes real and reactive power loss index and voltage deviation index. The results clearly indicate the significant reduction in losses and voltage deviation achieved by integration of single and multiple DGs. The research work is also extended to assess the voltage harmonics of the system before and after the placement of DGs. The effectiveness of the proposed ABC-HC algorithm has been demonstrated on the standard IEEE-33 bus RDS under different voltage dependent load models using MATLAB 2017a.

HIGHLIGHTS

As demand grows, technologies advance, and power system infrastructure changes, there are more opportunities to integrate distributed generators into the distribution system

The maximum benefit from the DG integration is achieved by selecting the optimal size and optimal site in the distribution system

A new hybrid optimization technique has been developed for optimal planning of DGs under different voltage dependent loads. The work was also extended to carry out harmonic analysis

GRAPHICAL ABSTRACT
Corrosion Behavior of AISI 316L Stainless Steel in a Highly Sour Environment
Authors: Shah Mazlan , Yaakob Najmiddin , Ayob Muhammad Taqiyuddin Mawardi , Othman Norinsan Kamil
Published: June 2022

Sour corrosion in the presence of H2S gases can significantly affect the passive films deterioration of the 316L steel. 0 and 3 bar of H2S gases were chosen to identify how H2S gases could affect the corrosion rate on steels surface at normal and extremely sour conditions. Experiment was operated in an 7L autoclave for 7 days and was kept at 60 °C throughout the testing. The uniform corrosion rates were measured by weight loss while the pitting corrosion rates were determined by using a profilometer, respectively. The oxide layers formed under these conditions were determined by XPS. The results found that at 3 bar of H2S gas condition shows the formation of multi-layers consist of Fe3O4, (NiOH)2, NiO, MoO3, FeS, and NiS. Finally, corrosion products formation on 316L steels surface was then discussed.

HIGHLIGHTS

The corrosion-resistant alloy (CRA) has been introduced to the pipeline industry due to its excellent properties of corrosion resistance but still remains unclear in a highly sour environment and needs to be further investigated

316L steel was selected because it is one of the austenitic alloys containing chromium, nickel and molybdenum, making it more corrosion resistant

The effects of H2S gas pressure on the AISI 316L stainless-steel, with the emphasis on the formation and deterioration of passive films have been discussed

GRAPHICAL ABSTRACT
Antibacterial Activity of Synthesized Silver Nanoparticle from Polyherbal Extract against Human Pathogens
Authors: Ali Akbar Roshan Safeeha , Averal Horne Iona , Siddhaiayan Elavarasi
Published: June 2022

Polyherbal formulations are known for various medicinal properties. The aim of this study was to biosynthesis of Silver nanoparticle (AgNps) using polyherbal extract and to evaluate their effect on human bacterial pathogens. Polyherbal extract silver nanoparticles were synthesized and the presence of AgNPs was confirmed by UV-Visible (UV-VIS) spectrophotometer and Scanning Electron Microscopic (SEM) analysis. The effect of polyherbal AgNps were evaluated against human bacterial pathogens by agar well diffusion method. The UV-VIS spectrophotometer, SEM analysis and the agar well diffusion method confirmed the potential antibacterial activity of biosynthesized polyherbal AgNPs against common bacterial pathogens such as Staphylococcus aureus, Streptococcus pyogenes, Escherichia coli, Pseudomonas aeruginosa, Bacillus cereus, Propionibacteriun acnes, Streptococcus oralis, Enterobacter feacalis, Proteus vulgaris, Aeromonas hydrophila, Corynebacterium diphtheriae and Actinomycetes Sp. Therefore, we suggest that polyherbal AgNPs can be used for the treatment of bacterial diseases.

HIGHLIGHTS

Preparation of polyherbal formulation from selected traditional medicinal plants (Caesalpinia bonduc, Morinda citrifolia and Nigella sativa)

Green synthesis and characterization of silver nanoparticles synthesized using polyherbal aqueous extract and evaluate its antibacterial activity against human pathogens

The biosynthesized silver nanoparticles that use the extract of polyherbal formulations have proven excellent antibacterial activity against human pathogens through Disc diffusion method

The present study demonstrated a quick, rapid, and economical way of synthesizing silver nanoparticles.

Synthesized polyherbal nanoparticles can be used against human pathogens acts as antimicrobial drug

GRAPHICAL ABSTRACT
Devanagari Character Recognition Using Deep Learning
Authors: Atharva Hase  , Viral Jain  , Parag Gujarathi  , Aditi Bhor  , Swati Bhonde
Published: June 2022

The Devanagari script is one of the broadly used scripts of India and is advanced from the Brahmi script. It includes forty-seven number one alphabets, 14 vowels, 33 consonants, and 10 digits. There isn't any capitalization of letters, like in the English language. The Devanagari script includes consonants and modifiers. Deep gaining knowledge of strategies is carried out to extract capabilities and apprehend the characters in an image. A Deep Convolutional Neural Network (DCNN) had been included to extract capabilities and classify the entered images. Consecutive convolutional layers are used in this manner which brings introduced gain withinside the manner of extracting higher-degree capabilities. The output of the CNN layers is fed to the completely related layers. The version has applied the use of Keras libraries on the pinnacle of a TensorFlow backend. Finally, the threat or possibility rating of every person is decided and the person with the very best possibility rating is proven because of the output. Handwritten Devanagari Character Recognition is extra tough in contrast to the popularity of the Roman characters.
Image Based Pothole Detection System through Machine Learning
Authors: Sournalakshmi P  , Reni Hena Helan R  , Divyalaxmi R  , Kala Ranjini D  , Rajalakshmi H
Published: June 2022

Potholes can cause damage such as punctures and wheel damage, dents and vehicle floor damage, vehicle collisions and serious accidents. Therefore, accurate and fast hole detection is one of the important tasks to determine the good strategic in the ITS (Intelligent Transportation System) service and in the route management system. Several efforts have been made for developing a technology which can automatically detect and recognize potholes, Since the image related to road damage includes objects such as holes, cracks, shadows and tracks, there is the problem that it is difficult to detect a specific object. In this paper, we propose a pothole classification model using edge detection in the road image. The proposed method converts RGB (red green and blue) image data, including holes and other objects, to grayscale to reduce the amount of computation. It detects all objects with the exception of holes using an object detection algorithm. The ultrasonic sensor detects holes and alerts the user.
Individual Re-Identification in Blurred Image using SVM/PCA Technique
Authors: K. Karthika  , R. Sulochana  , M. Gunasundari  , J. Durgadevi
Published: June 2022

Individual re-identification (Re-ID) is the task of matching a target person across different cameras, which has drawn extensive attention in computer vision and has become an essential component in the video surveillance system. Pre-id can be considered as a problem of image retrieval. Existing person re-identification methods depend mostly on single-scale appearance information. In this work, to address issues, we demonstrate the benefits of a techniques using Support vector machine or Principal component analysis proposed for pre-id in this study. However, great challenges are being faced in the pre-id task. First, in different scenarios, appearance of the same pedestrian changes dramatically by reason of the body misalignment frequently, various background clutters, large variations of camera views and occlusion. Second, in a public space, different pedestrians wear the same or similar clothes. Therefore, the distinctions between different pedestrian images are subtle. These make the topic of pre-id a huge challenge. The proposed methods are only performed in the training phase and discarded in the testing phase, thus, enhancing the effectiveness of the model. Our model achieves the state-of-theart on the popular benchmark datasets including Market-1501, duke mtmc -re-id and CUHK03. Besides, we conduct a set of ablation experiments to verify the effectiveness of the proposed methods
Road Lane Detection using Convolutional Neural Network
Authors: Farjana Farvin S  , Sowndarya S V
Published: June 2022

Road Lane detection is necessary in autonomous driverless vehicle that is used to automatically detect lane lines in a road. With the increase in the modern day’s population, which has in turn increased the number of vehicles in the road, people are more prone to accidents. Increase in the number of vehicles, human errors towards traffic rules and the difficulty to oversee situational dangers by drivers are contributing to the majority of accidents on the road. Therefore, in this paper we have designed a methodology to detect road lane lines which, helps our drivers from causing life damage and contributes to safe driving. Here we have used deep leaning algorithm which has shown a quiet good accuracy rate.
Factors Associated with Frequent Consumption of Fast Food and its Effect on Health among Fast Food Venders and School or College Going Teenage Consumer with View to Develop an Informational Booklet
Authors: Ms. U. Bhagyalakshmi  , Mr. Ankit Kumar  , Mr. Anuj Kumar  , Ms. Archana Kumari
Published: June 2022

The consumption of different types of fast food is increasingly growing in all parts of the world, both in developed and developing countries. Because of the changes and transitions in the lifestyle and dietary habits of people, an increasing number of people from different age group, particularly adolescent and young adults, are inclined toward consumption of fast food.
OBJECTIVE: 1. To explore the factors associated with frequent consumption of fast food among vendors and school or college going teenage consumers. 2. To assess the existing levels of knowledge on effect of frequent fast food consumption on health among school or college going teenage consumers. 3. To see the correlation between the frequent consumption of fast food among school or college going teenage consumers and its effect on health.
MATERIALS AND METHODS: The research approach is the most essential part of any research. The entire study is based on it. The appropriate choice of the research approach depends on the purpose of the research study that is undertaken. “Approach to research is an umbrella which covers the basis procedure for conducting research”. The researcher found that Quantitative research approach is best suited, as it is a scientific investigation in which observations are made, data are collected according to a set of well-defined criteria and study.
RESULTS: The highest percentage of participants falls under the category of 56% (28) of the participants in socio demographic data are belongs to the age group (10-15) years and 24% (12) participants belongs to age group (15-24) years of age group and 20% (10) participants belongs to the age group of above 24 years 12-14 year age group. Knowledge 47(94%) obesity, 32(64%) Damage the tooth enamel and poor oral health, 32 (64%) Reducing the brain function or sharpness, 26(52%) reducing.
A Framework on Online Reviews Ranking Based on Set Theory for Mining Using Automated Pipeline
Authors: Mrs. K. Karthika  , Maheswari. S  , Karishmaa. S. T  , Ethayasirphy. S
Published: June 2022

With the rapid rise of e-commerce, a big number of things are being sold online, and a growing number of people are making purchases online. Users can get valuable information from online reviews before purchasing a product or making a purchase. We investigate the peculiarities of their behaviour based on their early reviews. In this study, customer feedback linked with various products is collected from several online shopping websites in order to forecast product ratings based on user feedback utilising opinion mining. We classified the product's lifespan into three segments at first (Early, majority and laggards). A person who posts a review at an early stage is considered to be an early responder to the product. The product reviews are analysed using machine learning techniques. They give comments, and products are subsequently recommended for purchase and sale based on that factor. Users can provide product reviews on popular e-commerce platforms like Flipkart, Myntra, Amazon, and many others. To purchase a product, the consumer will investigate to gain a deeper grasp of the product and how it works. The interpretation will be a very straightforward product with inferior, superior, and neutral product checks. This experiment is carried out using machine learning techniques. Sentiment Analysis is a type of market research in which customers are aware of their reaction to a product. Individual decision-makers, businesses, and governments can all benefit from the awareness of feeling.
Architectural representation: the image and the sign
Authors: Leandri Gaia , Campbell Jackie , Iñarra Abad Susana , Juan Vidal Francisco
Published: June 2022

The final aspect of architectural projects is nowadays illustrated by computer generated images of photographic quality (photorealistic renders), mostly replacing the old fashioned hand drawn images. Several authors feel that their realism may not convey the desired message to onlookers. We proposed a Web based questionnaire containing 3 tests to assess whether communication, recognisability and engagement were better conveyed by hand drawn images or photorealistic renders. 154 responders took the test, 74% of them were professionals in the architectural field and 26% general public. In both groups, the answers indicated that communication and recognizability were much better perceived in hand drawn images than in photorealistic renders.  Engagement was aimed at assessing personal preference towards render or  hand drawn images, with an even outcome. It is concluded that architect’s idea and spirit are better conveyed by hand drawn images which are a sort of “sign”. Such feature should be properly taken into account in academic curricula. Photorealistic renders should be used complementarily to show a virtual reality of the project’s outcome.
Flipped classroom – a solution to teach the unloved iron carbon phase diagram in first year engineering during the Covid-19 pandemic
Authors: Pfennig Anja
Published: June 2022

The iron carbon phase diagram ICPD may simply be described as alloying maps of steels and cast iron in material science. However, the required thermodynamic background knowledge should be high level and understanding of the cooling procedure of ferrous melts as well as microstructure of steels is challenging. Common teaching material presents results, but not how to get there and leaves frustrated first year engineering students behind – especially during the online-semester of the Covid-19 pandemic. The iron carbon phase diagram is required in advanced courses, but seldom handled by students. Applying the “flipped classroom” teaching method as scenario in a blended and fully online learning environment is shown to be a successful method to let the students study how to read and apply the ICPD on their own and then take the time to discuss their questions and do extended hands-on exercises in class. Although summative assessment did not show significant improvement, the learning outcome and problem solving skills related to the iron carbon phase diagram are rated beneficial.