bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Information Governance (IG) on Profitability in the Nigerian Banking Sector
Authors: Olaniyi Oluwaseun O. , Olaoye Olugbenga O. , Okunleye Olalekan J. 
Published: July 2023

Aims: The article provides an overview of the Nigerian banking industry, highlighting its regulation by the Central Bank of Nigeria (CBN) and the role of information governance (IG) in enhancing the industry's robustness. Despite being recognized as one of the top performers in Africa, there are inconsistencies in information governance, particularly in data management.
Place of Study: The case study of Capital One showed that implementing appropriate governance policies could have either entirely mitigated the attack or reduced the time the hackers had unauthorized access, minimizing the attack's impact on the organization.
Methodology: The study employed a mixed-methods approach to explore the feasibility of implementing an Information Governance Framework (IGF) in the financial sector. The quantitative data collected from Nigerian Deposit Insurance Corporation (NDIC), the regulator of banking industry in Nigeria revealed that implementing IG programs is crucial for profitability in the banking industry.
Results: The study concludes that effective IG depends on formalized structures, accountability, privacy, ethics, transparency, monitoring, compliance, and suitability. Therefore, with 95% confidence, it can be stated that IG policies does not contribute to mitigating data breaches in the Nigerian banking industry and improving profitability. The study has shown that financial institutions can utilize information governance to mitigate data breaches and increase profits. While data breaches remain a real threat, banks can leverage IG policies to enhance profitability by safeguarding their assets.
Conclusion: It is concluded that Nigerian banks must remain vigilant and address any changes within their business infrastructure to mitigate risks and protect sensitive data using appropriate IG policies and standards.
Stochastic Analysis of Asset Returns Which Follows Multiplicative Effects Series
Authors: Ebakpa L. E. , Amadi I. U. , Nchelem R. G. , Azor P. A. 
Published: July 2023

The key importance of asset values and it return rates are geared towards investment funds which grows wealth over time. This paper considered stochastic models where asset values were examined. A twelve (12) months (2022) initial closing stock price data of Oando, PLC, were used in the study. The problems were accurately solved analytical by means of Ito’s theorem and a closed form solutions were obtained which governed asset price return rates through multiplicative effects series. The empirical illustrations between Stochastic Differential Equations (SDEs) and Stochastic Delay Differential Equations (SDDEs) asset values were compared to inform Oando PLC in terms of decision making. However, the behaviour on the value of asset prices were analysed using Kolmogorov-Smirnov (KS). To this end, graphical solutions and the effects of the relevant stock variables were conferred accordingly.
Comparative Analysis of Sentinel-3 and Terra MODIS Satellite Images for Air Temperature Observation in Denpasar Area
Authors: Varestefanica Josephira Anna , Yuliara I. Made , Yuda I. Wayan Andi , Suarbawa Komang Ngurah , Sumadiyasa Made , Sandi I. Nengah , Gunawan Anak Agung Ngurah 
Published: July 2023

This study evaluates the air temperature products of Sentinel-3 and Terra MODIS satellite images, with the aim of determining the comparison results of Sentinel-3 and Terra MODIS satellite images for air temperature observations, and also to determine the minimum and maximum temperatures of the Denpasar area obtained using satellite images. Correlation relationship analysis and Root Mean Square Error (RMSE) were used to investigate the correlation and the degree of accuracy between the air temperature of satellite imagery and the air temperature of field observations. The results showed that Terra MODIS satellite imagery has better accuracy to BMKG air temperature compared to Sentinel-3 satellite imagery. Terra MODIS imagery has a correlation coefficient value of 0.95 and an RMSE value of 0.51, while Sentinel-3 satellite imagery has a correlation coefficient value of 0.78 and an RMSE value of 0.93, so it can be noted that Terra MODIS satellite images are better used in air temperature observations than Sentinel-3 satellite images. The results also showed that the minimum temperature detected by Sentinel-3 satellite images from 32 observations was 9.51°C on September 23, 2021 and the maximum temperature was 41.50°C on April 14, 2021. Meanwhile, in Terra MODIS satellite images from 32 observations, the minimum temperature was 20.57°C on September 23, 2021 and the maximum temperature was 37.08 on April 16, 2021.
Dengue in Times of Covid-19: A Pre and Post Pandemic Evaluation in East Delhi Population
Authors: Shah Anshdha , Sinha Swati , Jain Charu , Das Shukla , Nikita  , Singh N. P. 
Published: July 2023

Background: Dengue is an endemic disease in tropical and sub-tropical regions across the globe with South-east Asian countries showing an increasing prevalence over the years.
Objective: To observe changes in the disease pattern of Dengue during pre and post pandemic periods.
Materials and Methods: A retrospective observational study was performed. The laboratory-based study retrieved data for the tests routinely performed for detection of Dengue infection and Covid-19 infection. The positivity rate was calculated for Dengue (2019-21) and for Covid (2020-21). The impact of the Covid-19 pandemic on dengue incidence was studied.
Observations: It was observed that dengue infection peaked during the monsoon and post-monsoon period. The testing for dengue infection declined by 79.3% when the Covid-19 pandemic struck in 2020. The testing for dengue in 2021 showed an increase of 49.9% when compared to 2019 with a higher positivity rate of 36.4%.
Conclusion: In the wake of Covid-19 pandemic, as the healthcare system became focused on managing the emergency-like situation and routine diagnostic protocols thus, the control measures for vector borne diseases were disrupted. The surge of dengue cases in 2021 indicates that onset of Covid-19 created a smokescreen which gave rise to increased spread of dengue in the following year. Therefore, it is prudent to incorporate measures to ensure that the control and management of other diseases continues to run seamlessly even during emergence of future epidemics/pandemics.
Effect of Co-administration of Vitamin A and Artesunate in Malaria-Infected Albino Mice
Authors: L. O. Onyemeh , A. A. Freitas , Z. Olaide , A. C. Okoye , D. A. Faloye , J. N. Muoneke 
Published: July 2023

Malaria is a potentially fatal illness that results from infection by parasitic protozoa, which spread to humans via the bites of mosquitoes that have already been infected with the parasite. This research examines the impact of the simultaneous administration of Vitamin A and Artesunate on Plasmodium berghei-infected albino mice. A cohort of sixteen (16) albino mice, with a mean weight of 28g and indeterminate gender, were subjected to P. berghei inoculation. The mice were separated into four groups, each consisting of four animals. Artesunate was administered to Group A, distilled water was administered to Group B, Group C received antioxidant treatment in the form of vitamin A, and Group D was subjected to a combination treatment of Artesunate and Vitamin A. The study monitored the parasitemia level, hematocrit (PVC), percentage mortality rate, and change in body weight following the administration of various treatments, including an antimalarial drug (Artesunate), distilled water, Vitamin A, and a combination therapy of both Artesunate and Vitamin A. The co-administration of vitamin A and Artesunate may decrease the effectiveness of Artesunate in treating malaria infection. The research illustrates the intricate relationship between Artesunate and antioxidant (vitamin A) in mice infected with malaria. The efficacy of Artesunate in clearing the parasite was demonstrated by the reduction of Parasitaemia levels from +2(++) on the 5th day to +3 (+++) on the 7th day, followed by a decrease to +2(++) on the 9th day, and ultimately to +1(+) Parasitaemia on the 10th day. The co-administration of Vitamin A and Artesunate resulted in a reduction of the latter's efficacy in treating malaria, particularly in cases where the parasitemia level was at +3(+++) on the 5th, seventh, and 11th days and +2(++) on the ninth day. This procedure suggests that Vitamin A acted as an antagonist to the antimalarial effects of Artesunate.
Furthermore, the mortality rate was 50%, and the PCV was reduced compared to Group A. Artesunate, a pro-oxidant that generates free oxygen radicals that act against the parasite. However, the presence of antioxidants like Vitamin A potentially counteracted the effects of pro-oxidants, indicating some form of pharmacological antagonism. The research findings indicate that the co-administration of vitamin A and Artesunate may reduce therapeutic effectiveness. Clinical interventions are recommended to be implemented to regulate the simultaneous administration of Artesunate and Vitamin A, as this may impact the therapeutic objective of malaria treatment.
Biochemical Defenses Induced by Natural Silicon in the Management of Rice Yellow Stem Borer, Scirpophaga incertulas (Walker)
Authors: Sowmiya A. , Suganthy M. , Venugopal Sheela , Djanaguiraman M. , Manonmani S. , Kumar G. Senthil , Uma D. 
Published: July 2023

Rice (Oryza sativa L.) one of the primary and staple food crops consumed throughout Asia belongs to Poaceae family. Yellow stem borer, Scirpophaga incertulas W. is a predominant insect pest infesting rice in India which damages the crop throughout the cropping season.
Aim: Present investigation was carried out to study the efficacy of foliar sprayed natural silicon in inducing biochemical defenses and reducing the damage caused by yellow stem borer in rice.
Study Design: Field experiment was laid out by using Randomized Block Design consisting of three different treatments replicated seven times.
Place and Duration of Study: The experiment was carried out at Paddy Breeding Station, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India during the year 2022.
Methodology: Field experiment was carried out to study the effect of natural silicon on per cent damage caused by rice yellow stem borer. In addition, enzyme studies were carried out to find the biochemical changes occurred in the plants due to different treatments. Treatments comprised of foliar spray of 2% natural silicon (100% SiO2) at 15, 30 and 45 days after transplanting (DAT) (T1), TNAU organic package of practices for rice (T2) and untreated control (T3).
Results: Foliar spray of 100% pure natural silicon along with stem borer feeding resulted in significant increase in the activities of defense associated enzymes namely, peroxidase (PO), polyphenol oxidase (PPO) and phenylalanine ammonia lyase (PAL). In addition to defensive enzymes, total phenol content was found to be significantly higher in silicon treated plants when compared to other two treatments. Such increase in biochemical parameters viz., the defensive enzymes and phenols resulted in significant reduction in the damage caused by stem borer with the lowest mean of 2.78 %, followed by 6.32 % in organic practice as against 9.34 % in untreated control.
Conclusion: Silicon obtained from natural sources can be employed as a safe and promising organic amendment in the management of yellow stem borer infesting rice by inducing resistance in plants.
Response of Silkworm (Bombyx mori L.) Breeds to Temperature and BmNPV Stress
Authors: Sharma Palvi , Sharma Arti , Choudhary Sneha , Attri Kapil , Afreen Sumiya , Bali Kamlesh , Gupta Rakesh Kumar 
Published: July 2023

Silkworm Bombyx mori L. is one of the most important domesticated insects, which produces luxuriant silk thread in the form of cocoon by consuming mulberry leaves during larval period. The growth and development of silkworm is greatly influenced by environmental conditions. The seasonal differences in the environmental components considerably affect the genotypic expression in the form of phenotypic output of silkworm crop. Bombyx mori nucleopolyhedrovirus (BmNPV) is a pathogen that causes great economic losses in sericulture. In the present investigation, twelve bivoltine silkworm breeds (WM, ND5, NB4D2, U-4, PO1, ND3, U-6, CSR2, SH6, SPO, U-3 and NSP) were studied for temperature and BmNPV stress. After third and fourth moult silkworm larvae were treated with BmNPV inoculum at 25±1⁰C and 30±1⁰C temperature respectively. Increased mortality was observed at 30±1⁰C when compared to 25±1⁰C. However, with respect to breeds the highest total mortality was recorded in breed PO1 and least in breed U-3. Silkworm breed U-3 may have the ability to tolerate BmNPV incidence and can be exploit for evolving disease-tolerant silkworm hybrids.
Identifying Prominent Environmental Covariates Using Variable Selection Methodologies for Digital Soil Mapping of Tamil Nadu, India
Authors: Kshatriya T. Tarun , Kumaraperumal R. , Muthumanickam D. , Pazhanivelan S. , Ragunath K. P. , Raj M. Nivas 
Published: July 2023

High dimensional datasets that depict intricate spatial variations are necessary to predict complex landscape structures and the corresponding soil properties taking into account the size of the research region in addition to the data attributes. The number and quality of the input datasets taken into consideration essentially determine the quantity and quality of the soil properties that may be predicted thanks to data-driven learning algorithms. The use of variable selection strategies both before and after the prediction can have a significant impact on the outcome and can lower the related computing load. The majority of commonly used variable selection techniques such as correlation analysis, stepwise regression and recursive feature elimination, among others perform recursive statistical/mathematical comparison to identify the significant covariates that improve the effectiveness of the algorithm proposed. In order to identify the effective environmental variables in predicting the soil attribute, this article investigated a widely used recursive ranking method called recursive feature elimination. The covariate layer that produced the lowest RMSE was placed first according to the rankings of the covariates provided by recursive feature elimination. The findings showed that among other factors physiography, mean rainfall, rock outcrop difference ratio, elevation and mean temperature will be effective in predicting the soil properties required for digital soil mapping.
Adoption of Recommended Sustainable Paddy Farming Practices in Telangana State, India
Authors: Rani Akula Latha , Naik V. Ravinder , Reddy M. Jagan Mohan , Sagar G. E. CH. Vidya , Srinivasachary D. , Tuti Mangal Deep 
Published: July 2023

Agriculture had a significant negative impact on environment for many decades. More land, fertiliser and pesticides had been used to increase the yield. Sustainable development is development that meets the needs of the present without compromising the ability of future generations to meet their own needs. According to research, a number of factors can affect farmers' decisions to effectively implement sustainable practises. This present investigation was undertaken during 2021-2023 to specify the item wise adoption of recommended sustainable Paddy farming practices in three districts namely Nizamabad, Khammam and Nalgonda districts representing North, Central and South agro climatic zones of Telangana state, respectively as these three districts account for more Paddy area from amongst the respective zones. Purposive sampling technique was employed for data collection from 216 Paddy farmers. Findings revealed that item wise adoption of recommended sustainable practices, depicts the partial adoption of listed components such as (puddling had complete adoption), selection of variety, selection of certified seed, seed rate, seed treatment (chemical methods had no adoption, pre-germination of Paddy seeds had complete adoption), nursery seed bed raising (sowing at recommended time had complete adoption), age of seedling (maintaining closer spacing of aged seedlings and increasing number of aged seedlings per hill had complete adoption), time of transplanting (transplanting in (first fortnight of June-July Kharif), (October -November-Rabi) had complete adoption), method of transplanting (transplanting the recommended number of seedlings per hill had complete adoption), row spacing (maintaining the recommended spacing between the two hills had complete adoption), fertilizers application, weed management, integrated pest and disease management, time of harvesting (harvesting crop at the recommended time had complete adoption) and method of harvesting (harvesting through combine harvester, drying Paddy after harvesting for one to two days and crop rotation like growing legumes before cereals to enhance farms biological stability had complete adoption). It may be a result of the farming experience, farming commitment, education, economic motivation, achievement motivation, connections with extension services, risk orientation and innovativeness in their farming methods drive for success. The aforementioned pattern of findings was also influenced by the efforts of line departments and front-line extension organisations like the District Agricultural Advisory and Transfer of Technology Centre and Krishi Vigyan Kendra’s.
Effect of Biofortification with Zinc and Iron on Growth Parameters, Yield Attributes and Yield of Barley (Hordeum vulgare L.)
Authors: Tiwari Tapasya , Tiwari U. S. , Sharma Sanjeev , Pandey Hanuman Prasad , Sachan Ravindra , Kumar Dharmendra , Kumar Sumit , Singh Krishna Kumar 
Published: July 2023

A field experiment was conducted during Rabi season of 2021-2022 at Students' Instructional Farm (S.I.F.) of Chandra Shekhar Azad University of Agriculture and Technology, Kanpur, Uttar Pradesh to evaluate the effect of biofortification with zinc and iron on growth parameters, yield attributes and yield of Barley. The present experiment having 16 treatment combinations replicated thrice in factorial randomized block design. Barley variety Prakhar (K 1055) (K508/NDB1081) was grown with recommended agronomic practices. On the basis of the results emanated from present investigation, it could be concluded that application of 100% RDF + soil application of Zn @ 25 kg ZnSO4 ha-1 + two foliar application of Fe (0.5%) significantly recorded maximum growth parameters such as plant height (102.00 cm) and number of effective tillers (302.00 m-2) and maximum yield attributing characters such as ear length (8.9 cm), number of grains spike-1 (50.75) and test weight (42.497 g). The result showed highest grain yield (59.55 q ha-1), straw yield (69.673 q ha-1), biological yield (129.22 q ha-1) and harvest index (46.08 %) with 100% RDF + soil application of Zn @ 25 kg ZnSO4 ha-1 + two foliar application of Fe (0.5%) in comparison to all the treatments during 2021-2022.
Response of Boron and Molybdenum on Growth and Yield of Black Gram (Vigna mungo L.)
Authors: Pandey Shruti , Dawson Joy 
Published: July 2023

A experiment was conducted in Crop Research Farm in department of agronomy during Zaid season of 2023 on Black gram crop. The treatment consisted of 3 levels of Boron (3000,4000,5000 ppm/ha) and Molybdenum (600,700,800 ppm/ha) as foliar spray and control. The experiment was lay out in Randomized Block Design (RBD) with 10 treatments and replicated thrice. Application of Boron (5000ppm/ha) and Molybdenum (800ppm/ha) produced higher Plant height (48.47 cm), more dry weight/plant (9.43 g), maximum number of pods per plant (29.80), number of branches/plant (32.07),number of nodules per plant (6.80),crop growth rate (2.68g/m2/day), number of seeds per pod (7.73), Test weight (40.20 g), Seed yield (1.39t/ha), Stover yield (2.99 t/ha).Treatment combination with Boron (5000ppm/ha) and Molybdenum (800ppm/ha) highest gross return (69500.00INR/ha), net return (43209.90INR/ha) and benefit cost ratio (1.64) when compared to the control (RDF).
Volume and Status of Agricultural Labourers’ Migration in Bidar District, Karnataka, India
Authors: Veershetty  , Muhsina A. , Chigadolli Mutteppa , Nayak G. H. Harish , Avinash G. , Baishya Moumita , Megeri S. N. 
Published: July 2023

The study was carried out in the Bidar district of Kalyana Karnataka where a people's migration is big. Three talukas were chosen based on the highest labour force from the district. In specific, they were Bidar, Bhalki, and Basavakalyan. In random selection, four villages from each taluka were selected. The primary data was taken via the personal interview process from a total of 240 samples randomly from every taluka for the experiment, with 80 samples. The gravity model results revealed that the rate of migration and volume of migration decreases as the distance to the destination increases. A logistic regression model was fitted for Bidar district migration results for three talukas viz. Basavakalyan, Bhalki and Bidar. The results displayed that with the odd ratios more than unit, per capita land holding was negatively significant, so we can interpret that lower per capita land holding caused more migration. The other features viz., family size, with unit or less than unit value for odd ratio, it was positively significant for some villages and negative for others. The positive significance displayed that the migration was more affected when the family size was high, the other factor was education, the model disclosed that educates migrate more than illiterates do due to underemployment. Income including migrants' income (IMI) had a positive influence and income excluding migrants’ income (EMI) had a negative influence on migration. This tells us that for having a high income for a family, any member of the family should migrate. Both Wilcoxon’s signed rank and t-tests displayed that for better income and lifestyle of a people they should migrate because the migrated people situation is upgraded in this study.