Research Work Research Articles

Teachers’ Research Competence and Engagement: Basis for Research Development Plan

Teachers’ research and competence posited complementary synergy theorizing that teachers with higher research competence are engaged in research pursuits relevant to professional growth within the context of education. This research addressed six key objectives by profiling respondents, assessing teachers’ competence on framing questions and data collection, identifying literature and theoretical knowledge, and analyzing and presenting research data, and research engagement levels on motivation to write research, and difficulty in conducting research, determining significant relationships between competence and engagement, exploring the correlation between engagement and respondents’ profiles, and designing a research development plan. Employing an adapted survey questionnaire using a universal sampling method, 391 teachers across the two districts in the Division of El Salvador City were surveyed during the School Year 2023–2024. Statistical tools such as means, frequency, standard deviation, Pearson-r, and triangulations were applied for data analysis. Findings indicated a positive correlation between teachers’ research competence and engagement. A significant relationship was identified between engagement and moderating variables like related training and position. Despite the teachers being competent and engaged, their research work was hindered by the number of coordinatorships they handled. It is important to emphasize the research competence and engagement for educational improvement as it illuminates the current state of teachers’ research skills and lays the groundwork for a targeted Research Development Plan.

Retrofitting of Damaged Crumb Rubber Concrete Frame Using Fiber Reinforced Polymers

Abstract: The research work is focused on the retrofitting of damaged crumb rubber concrete frame. The retrofitting of these frames was carried out using Carbon Fiber Reinforced Polymers (CFRP) wrapping technique accompanied with beam weakening technique, carried out at certain locations to achieve the desired failure mechanism. Two previously tested 1/3rd reduced scale models Crumb rubber concrete (CRC) and Normal concrete (NC) were CFRP retrofitted along with beam weakening and then tested dynamically. From the as-built testing strong-beam weak-column effect was observed, for that purpose beams weakening through cores removal away from the face of the column equal to two times depth of the beam, so as to shift the damage from the brittle failure mechanism of column and joint damage to more ductile damage in the beam. In addition to beam weakening the damaged beam column joints were CFRP retrofitted. A comparative study between the retrofitted and as-built models was done. The results obtained from testing has recovered the ductility up to 82% and response modification factor up to 90% for normal concrete while in case of crumb rubber concrete frame the ductility is recovered up to 76% and its response modification factor up to 81%. As intended, a much-distributed damage behavior/cracking pattern as compared to the reference models, especially in the case of normal concrete model. The intended purpose of the retrofitting in recovering seismic properties and a comparatively distributed damage/cracking pattern was achieved. The purpose of beamweakening through core removal for shifting the damage from columns and joints towards the beams for achieving a more ductile failure mechanism was achieved to some extent.

Effects of Visible Light on Gas Sensors: From Inorganic Resistors to Molecular Material-Based Heterojunctions.

In the last two decades, many research works have been focused on enhancing the properties of gas sensors by utilising external triggers like temperature and light. Most interestingly, the light-activated gas sensors show promising results, particularly using visible light as an external trigger that lowers the power consumption as well as improves the stability, sensitivity and safety of the sensors. It effectively eliminates the possible damage to sensing material caused by high operating temperature or high energy light. This review summarises the effect of visible light illumination on both chemoresistors and heterostructure gas sensors based on inorganic and organic materials and provides a clear understanding of the involved phenomena. Finally, the fascinating concept of ambipolar gas sensors is presented, which utilised visible light as an external trigger for inversion in the nature of majority charge carriers in devices. This review should offer insight into the current technologies and offer a new perspective towards future development utilising visible light in light-assisted gas sensors.

“An Overview On Biological Behavior Of Benzotriazole: Synthesis And Docking Study On Its Versatile Biological Activities”

The practice of medicinal chemistry is devoted to the discovery and development of new chemical agents for treating diseases. Triazoles are obtained by a slight modification of azole ring and similar or improved activities as well as fewer adverse effects are reported for triazole derivatives several advantages are the notable attraction for using benzotriazole moiety-dependent methodologies, in my research work I synthesized various derivatives of n-(1h-benzotriazol-6-yl)-benzamide from Benzene 1,2,4-triamine and benzoic acid with high yield and the synthesized derivatives characterized by FT-IR spectrum, H1 NMR spectrum, and mass spectrum data of synthesized derivatives compounds of benzotriazole Scheme analysis proves that resultant compounds n-(1h-benzotriazol-6-yl)-benzamide derivatives. The molecular docking studies validated the outcome results from the anti-inflammatory and antiarthritic agents and signifies the potential of these derivatives as crystal structure of C-terminus of voltage-gated sodium channel in complex (PDB ID:4DCK) and COX 2 Inhibitor (PDB ID:1CX2) inhibitors. So, these compounds can be modified further for the development of new anti-inflammatory and antiarthritic agents. This study strongly suggests that most of molecules synthesized in this study may indeed be promising drug candidates with interesting pharmacological profile and most of these derivatives could be a fruitful for further development of better anti-inflammatory and antiarthritic activity.

Making Space: A New Way for Community Engagement in the Urban Planning Process

The current research shifts from the tradition of researcher-generated and directed community study and explores a new model for data collection based on citizen-directed participation and restorative economies. This is important because the scholarship of urban planning is often separated from the practice, in which scholars undertake the bulk of the academic research and professional planners work in the field, engaging with the community and creating and implementing plans around local issues and opportunities. While urban planning trends support diverse, equitable, and inclusive engagement in visioning and shaping local development, few operationalized examples exist for citizen-led scholarship with local community application. The work outlined herein explicitly partners with local residents to collect data on both community and academic interests, and it also promotes a citizen sense of agency. Community leaders worked with the local public university to design and implement a study to solicit park use ideas and visions among three groups: youth; adults; and returning citizens. Results identify an overall theme of a lack of engagement with the community, relative to other local parks, and they also highlight four common areas of thought between the three populations—concerns about safety among park users, functional use of park space, demand for widespread park access, and desire for natural environment conservation. This work represents a viable local engagement approach including demonstrated investment in a local community and resultant increased trust; also, this work contributes valuable new knowledge about local history and the use of a community resource to inform land use planning and policy around community sustainability.

DEFLECTION AND STRAINS PERFORMANCE OF KENAF FIBRE-REINFORCED CONCRETE BEAMS

There has been a need to find a lasting means to improve beams' deflection and strain performance without necessarily increasing the beam stirrups. The limitations of steel and other synthetic fibres have reduced their application. Given its tensile strength, renewability, sustainability, and affordability compared to steel and synthetic fibres, kenaf fibre development is of great interest in Malaysia. Therefore, this research work experimentally investigated the deflection and strain performance of Kenaf Fibre Reinforced concrete beams. The volume and length of kenaf fibre used were 0.75% and 25mm, respectively. Kenaf fibre was treated with 5% NaOH to improve its performance. The alkaline-treated and untreated kenaf fibres morphology was observed under a variable-pressure scanning electron microscope. It was discovered inclusion of kenaf fibre reduced the workability of concrete. Also, plain and KFR concrete morphology was observed under a variable-pressure scanning electron microscope. Four beams were designed to study the deflection and strain performance of the KFR concrete beam; one was well reinforced but without kenaf fibre. The stirrups spacings were increased by 25%, 50%, and 75% for the other three beams. The beams were tested under centre loading. Deflection and concrete strain at the centre and along the beam span were measured using LVDTs and concrete strain gauges for the four beams. Furthermore, the strains on the shear and bottom flexural reinforcements at the centre of the beam were measured using steel strain gauges. It was discovered that kenaf fibre enhanced the deflection and strain performance of beams between 25% and 50% stirrups deficiency.

Why employees slip into silence: Role of workplace conflict and bullying

ABSTRACT The purpose of this study is to investigate how workplace bullying mediates between workplace conflict and employee silence (acquiescent, quiescent, and pro-social silence). Data was collected from 430 employees of service-sector companies (IT and ITES). Structural equation modeling using bootstrap technique was applied for data analysis. The findings of this study confirm that workplace bullying partially mediates the relationship between workplace conflict and the three types of employee silence. The implications of this research work are beneficial for organizations in order to fathom the silence behavior of employees that arises due to conflict and bullying at workplace. Management should discourage any signs of conflict, curb bullying, and at the same time encourage the employees to raise their voices against their problems in a formal way.

Influence of Different Planting Dates and Mulches on Growth, Yield and Economics of Potato

The present research work was conducted at Pili kothi farm, Department of Agronomy, Tilak Dhari Post Graduate College, Jaunpur, Uttar Pradesh during winter season of 2018 and 2019. The experiment was laid out in Factorial Randomized Block Design. The treatments comprised of different planting dates viz. 20 days early planting on 17th October, 10 days early planting on 27th October, Optimum planting time on 7th November, 10 days late planting on 17th November and 20 days late planting on 27th November and different mulching practices viz. Organic mulch (Paddy straw at 5 t/ha), Plastic mulch (Black colour) and Control (Without mulch) of potato. There were 15 treatments and each were replicated to four folds. These treatments were randomly arranged in each replication and divided into sixty plots. The results revealed that the significantly maximum number of haulms/hill at 45 DAP (4.50, 4.70 and 4.60), plant height (52.30, 54.00 and 53.10 cm), dry weight/ (27.90, 28.20 and 28.00) plant at 60 DAP, weight of tubers/plant (496.40, 504.10 and 500.30), weight of tubers/plant (>75 g) (207.70, 209.00 and 208.30) and tuber yield (369.30, 370.70 and 370.00 q/ha) were recorded under 20 Days Early Planting On 17th October among different planting dates during first, second year and mean data also. Whereas among the mulching practices significant variation were recorded among the all parameter. However maximum number of haulms/hill (3.60, 3.70 and 3.70) at 45 DAP, plant height (50.20, 52.0 and 51.10 cm), dry weight/plant (25.5, 25.9 and 25.7) at 60 DAP, weight of tubers/plant (454.80, 460.70 and 457.70), weight of tubers/plant (>75 g) (191.90, 193.30 and 192.60) and tuber yield (333.80, 334.90 and 334.30 q/ha) under the organic mulch (paddy straw at 5 t/ha) respectively, during first, second year as well as in mean data also.

Detection and classification of progressive supranuclear palsy from MRI images using deep learning

A timely and reliable computer aided MR image-based evaluations is required for the detection and classification of Progressive supranuclear palsy (PSP). It is a neurodegenerative ailment that is clinically very difficult to identify due to a high degree of overlap in characterized symptoms. Unlike other ailments, the primary constraint regarding PSP is the limited research work in this area. The main aim of our study is to establish a generalized model by comparing traditional custom CNN and transfer learning models such as DenseNet121, ResNet50, InceptionV3, VGG16, EfficientNetB0, Xception, MobileNet and InceptionResNetV2 which are fine tuned for the detection and classification of PSP with higher accuracy rates. Existing research has primarily focused on reducing the time complexity of neural networks and has only had success with low-level features. Furthermore, obtaining a significant volume of distributed labelled data is difficult. In our research, 125 T1 protocol based high resolution MRI images of 65 PSP and 60 normal control patients were considered. The image dataset is pre-processed, normalized and augmented before deploying them to the respective networks. The results propose that ‘InceptionResNetV2’ model can be considered as a generalised model for the detection and classification of PSP. The network offered a classification accuracy of 95%, Precision of 100%, Sensitivity of 92.8%, F1 score of 96.2% and a Specificity of 100% which is significantly higher compared to other models considered in the study and also the existing conventional ML models, thereby providing a prerequisite for significant diagnostic implementation.

Woozy Driving Detection

Abstract: Abstract-wooziness has been identified as one of the primary causes of injury or death in car accidents. As a result, it is proposed in this research work to develop an adaptive heavy vehicle driver fatigue and alertness modelbased on spectral bands by combining signal processing algorithms with soft computing techniques such as the neuro-fuzzy algorithm to estimate the driver cognitive state while driving a vehicle in a virtual reality (vr)-based dynamic simulator under monotonous driving conditions.As a result, it is proposed in this study to use soft computing approaches to reduce the amount of features and nonlinear supervised classification algorithms to classify them. The suggested adaptive model distinguishes between the driver's level of exhaustion by analysing brain responses to determine whether the driver is fatigued owing to task- induced variables or attitude/behaviour, and then the amount of fatigue is associated to sleepiness (i.e. Level of alertness towards driving). The adaptive model can also be used to warn drivers and regulators about impending catastrophes by optimizing the features of interface systems. The suggested system notifies the driver when he or she is fatigued or drowsy based on the identification of cognitive state and calculates the fatigue index and alertness level. The proposed method also assists the driverin being more alert and intuitive in order to avoid deadly road accidents.

Influence of mechanical impurities composition on formation of organic deposits

Relevance. The need to study the effect of solid particles in the oil stream on formation, composition and structure of deposits. Modern models of formation of asphalt-resin-paraffin deposits, based on correlation dependencies or empirical data, do not take into account the influence of the content of solid particles in oil to the proper extent. Recent studies show that various solid particles in oil can affect both the critical velocity and the structure of the formed deposits, but the effect of various particles on the intensity of formation of asphalt-resin-paraffin deposits remains unexplored. Aim. To study the effect of various sand fractions on the intensity of formation, composition and structure of asphalt-resin-paraffin deposits Methods. Modeling of formation of asphalt-resin-paraffin deposits at the laboratory installation “Cold Finger” when adding various sand fractions to oil; studying composition and structure of deposits after the conducted investigations using a microscope. Results. According to the research results, there is a significant increase in the intensity of formation of asphalt-resin-paraffin deposits when large fractions of sand are added to oil at a concentration of 5% or higher. It is worth noting that small fractions have almost no effect on the amount of deposits formed. Also, if various fractions are added to oil in equal proportions, there is almost no effect on the intensity of formation of asphalt-resin-paraffin deposits. When analyzing the deposits images from a microscope, it can be concluded that paraffin molecules, when interacting with sand particles of a dimension greater than 0.05 mm, form homols, and with an increase in the fraction, their structural strength grows. Conclusions. The study of modern models of formation of asphalt-resin-paraffin deposits and current articles made it possible to understand that the issue of studying the factors of formation of asphalt-resin-paraffin deposits, in particular the effect of the presence of solid particles in oil, remains open. The results of this article can be aimed at improving existing technologies in the field of modeling paraffin formation, as well as contribute to the further work of researchers in this direction.

Compounds Consisting of Quinazoline, Ibuprofen, and Amino Acids with Cytotoxic and Anti-Inflammatory Effects.

In this research work, a series of 16 quinazoline derivatives bearing ibuprofen and an amino acid were designed as inhibitors of epidermal growth factor receptor tyrosine kinase domain (EGFR-TKD) and cyclooxygenase-2 (COX-2) with the intention of presenting dual action in their biological behavior. The designed compounds were synthesized and assessed for cytotoxicity on epithelial cancer cells lines (AGS, A-431, MCF-7, MDA-MB-231) and epithelial non-tumorigenic cell line (HaCaT). From this evaluation, derivative 6 was observed to exhibit higher cytotoxic potency (IC50) than gefitinib (reference drug) on three cancer cell lines (0.034 μM in A-431, 2.67 μM in MCF-7, and 3.64 μM in AGS) without showing activity on the non-tumorigenic cell line (>100 μM). Furthermore, assessment of EGFR-TKD inhibition by 6 showed a discreet difference compared to gefitinib. Additionally, 6 was used to conduct an in vivo anti-inflammatory assay using the 12-O-tetradecanoylphorbol-3-acetate (TPA) method, and it was shown to be 5 times more potent than ibuprofen. Molecular dynamics studies of EGFR-TKD revealed interactions between compound 6 and M793. On the other hand, one significant interaction was observed for COX-2, involving S531. The RMSD graph indicated that the ligand remained stable in 50 ns.

Bromination of Chalcone

In this research work, a new compound, namely 2,6-dibromo-2,6-bis(bromo(phenyl)methyl)cyclohexanone (1), is synthesized and characterized for possible applications in organic electronic devices. The formation of the compound was confirmed by Fourier-transform infrared spectroscopy, 1H-, and 13C-NMR spectroscopy measurements. Furthermore, the spectroscopic and optoelectronic properties of the chemical compound were theoretically investigated using density-functional theory (DFT). Herein, the B3LYP/cc-pVDZ level was used to discover the compound electrostatic potentials and frontier molecular orbitals. The theoretical investigations predicted by DFT were compared with the experimentally obtained results from the ultraviolet visible spectra of the compound after being dissolved in various solvents. Results showed that the experimental band-gap energy of the compound is 3.17 eV, whereas its theoretical value was calculated to be 3.33 eV. The outcome of the achieved results suggests the viability of 2,6-dibromo-2,6-bis(bromo(phenyl)methyl)cyclohexanone for possible applications in organic electronic devices

Potentials and Limits of PMN-PT and PIN-PMN-PT Single Crystals for Pyroelectric Energy Harvesting

Waste heat is inherent to industrial activities, IT services (e.g., data centers and microprocessors), human mobility, and many other common processes. The power lost each year in this way has been estimated in the 1000 TWh in the EU which, owing to skyrocketing energy prices and not least the urgent need for decarbonizing the economy, has engendered tremendous research efforts among scientists and engineers to recover/recycle this waste energy. Beyond established thermal engineering solutions for waste heat, advances in multifunctional materials open new paradigms for waste heat harvesting. Two smart material types are of particular focus and interest at present; these are thermoelectric and pyroelectric materials, which can both transform heat to electrical power, though via different effects. The present paper summarizes our research work on a new class of pyroelectric materials, namely <111> oriented (1-x)(Pb(Mg1/3Nb2/3)O3–xPbTiO3 (PMN-PT) and x-Pb(In1/2 Nb1/2)O3-y-Pb(Mg1/3 Nb2/3)O3-(1-x-y)-PbTiO3 (PIN-PMN-PT) single crystals that exhibit some of the highest pyroelectric properties ever measured. First, a figure of merit for pyroelectric energy harvesting is derived, followed by a detailed assessment of the properties of the said crystals and how they depend on structure, poling, thickness, and temperature. The properties are further contrasted with those of conventional pyroelectric crystals. It is concluded that the PMN-PT-base single crystals are best suited for harvesting devices with a working temperature range from 40 to 100 °C, which encompasses waste heat generated by data centers and some chemical and industrial processes, affording the highest figure of merit among pyroelectric materials.

Performance of the Thies Clima 3D Stereo Disdrometer: Evaluation during Rain and Snow Events.

Imaging disdrometers are widely used in field campaigns to provide information on the shape of hydrometeors, together with the diameter and the fall velocity, which can be used to derive information on the shape-size relations of hydrometeors. However, due to their higher price compared to laser disdrometers, their use is limited to scientific research purposes. The 3D stereo (3DS) is a commercial imaging disdrometer recently made available by Thies Clima and on which there are currently no scientific studies in the literature. The most innovative feature of the 3DS is its ability in capturing images of the particles passing through the measurement volume, crucial to provide an accurate classification of hydrometeors based on information about their shape, especially in the case of solid precipitation. In this paper. the performance of the new device is analyzed by comparing 3DS with the Laser Precipitation Monitor (LPM) from the same manufacturer, which is a known laser disdrometer used in many research works. The data used in this paper were obtained from measurements of the two instruments carried out at the Casale Calore site in L'Aquila during the CORE-LAQ (Combined Observations of Radar Experiments in L'Aquila) campaign. The objective of the comparison analysis is to analyze the differences between the two disdrometers in terms of hydrometeor classification, number and falling speed of particles, precipitation intensity, and total cumulative precipitation on an event basis. As regards the classification of precipitation, the two instruments are in excellent agreement in identifying rain and snow; greater differences are observed in the case of particles in mixed phase (rain and snow) or frozen phase (hail). Due to the different measurement area of the two disdrometers, the 3DS generally detects more particles than the LPM. The performance differences also depend on the size of the hydrometeors and are more significant in the case of small particles, i.e., D < 1 mm. In the case of rain events, the two instruments are in agreement with respect to the terminal velocity in still air predicted by the Gunn and Kinzer model for drops with a diameter of less than 3 mm, while, for larger particles, terminal velocity is underestimated by both the disdrometers. The agreement between the two instruments in terms of total cumulative precipitation per event is very good. Regarding the 3DS ability to capture images of hydrometeors, the raw data provide, each minute, from one to four images of single particles and information on their size and type. Their number and coarse resolution make them suitable to support only qualitative analysis of the shape of precipitating particles.

Directions for improving the concept of technology for the purpose of financial support for their transfer within the European Union

The object of this study is the essence and directions of improvement of the normative construction of the concept of technology, which is used within the framework of legal regulation of financial support of the innovation process and technology transfer within the framework of the law of the European Union. In the course of summarizing and studying the existing regulations, it was established that they are not unified and differ significantly. This does not meet the needs of participants in the innovation process and subjects of technology transfer. It has been proven that the most negative impact of the disparity of legal regulation occurs during the implementation of means of financial support for innovative processes. The expediency of improving the existing concept of technology definition by fixing its single generalized definition has been substantiated. Authentic definition of technology is proposed as information of an organizational and technical nature about the sequence of production operations, which can be expressed in the form of the results of scientific research, research and design works, a system of objects of intellectual property rights, information of an organizational and technical nature, technological documentation, equipment, tools, machines, and mechanisms. It was substantiated that this definition makes it possible to eliminate most of the identified problems and is formed on the basis of the existing needs of the participants of technology transfer. The study is aimed at the formation of general theoretical foundations for improving the essence of technology for the purposes of legal support for financial support of innovation processes and technology transfer in the European Union. The research results could be used in the formation of international normative acts, acts of national legislation, and serve as a basis for further scientific research on these issues

Challenges and prospects in energetic application of Pithecellobium dulce (Roxb.) Benth as a bioenergy tree

AbstractA report on the Pithecellobium dulce tree is provided in this review. The main characteristics of the tree, its chemical composition, traditional applications and future application in the bioenergy area are addressed. Pithecellobium dulce is a leguminous tree characterized by being fast growing, nitrogen fixing and largely available. In addition, it is distinguished by growing in different types of soils from acid to alkaline and with little water. This review could serve as a scientific basis to promote and carry out new research work focused on individual and comprehensive use for various bioenergetic processes, from the different parts that make up the P. dulce tree such as its leaves, pods, branches, flowers, fruit and seeds. Among the bioenergetic processes that could be developed are the production of bioethanol, biodiesel, biogas, heterogeneous catalysts, biochar, activated carbon and nanoparticles, among other applications.

Assessment of primordial radionuclides and radon exhalation in granitic terrain of Bengaluru, India

This study delves into an investigation of primordial radionuclides and radon exhalation potential in natural soil and rock samples collected from the granitic terrain of Bengaluru, Karnataka, India. Employing a Smart RnDuo monitor and HPGe-based gamma spectrometry, the analysis reveals significantly elevated average specific radium, thorium, and potassium activities compared to the global averages documented by UNSCEAR. The research work evaluates radiological parameters in these samples, confirming compliance with global safety limits. Absorbed dose rates, hazard indices, and dose levels align with recommended standards, underscoring the safety of the assessed environment. Notably, the radon exhalation potential of these samples spans a range of 17 ± 1.3 mBq/kg/h to 179.42 ± 10.6 mBq/kg/h, accompanied by corresponding radon emanation factors varying from 5.1 ± 0.3 % to 45.4 ± 3.1 %, with an arithmetic mean of 18.0 ± 1.1 %. Intriguingly, a positive correlation emerges between the radon exhalation rate and both radium content and emanation factor. This research sheds light on the unique radiological characteristics of the Bengaluru granitic terrain, offering insights into the local radon risk and contributing to the broader understanding of radionuclide distribution in geologically diverse regions.

Classification of Plant Leaf Disease Recognition Based on Self-Supervised Learning

Accurate identification of plant diseases is a critical task in agricultural production. The existing deep learning crop disease recognition methods require a large number of labeled images for training, limiting the implementation of large-scale detection. To overcome this limitation, this study explores the application of self-supervised learning (SSL) in plant disease recognition. We propose a new model that combines a masked autoencoder (MAE) and a convolutional block attention module (CBAM) to alleviate the harsh requirements of large amounts of labeled data. The performance of the model was validated on the CCMT dataset and our collected dataset. The results show that the improved model achieves an accuracy of 95.35% and 99.61%, recall of 96.2% and 98.51%, and F1 values of 95.52% and 98.62% on the CCMT dataset and our collected dataset, respectively. Compared with ResNet50, ViT, and MAE, the accuracies on the CCMT dataset improved by 1.2%, 0.7%, and 0.8%, respectively, and the accuracy of our collected dataset improved by 1.3%, 1.6%, and 0.6%, respectively. Through experiments on 21 leaf diseases (early blight, late blight, leaf blight, leaf spot, etc.) of five crops, namely, potato, maize, tomato, cashew, and cassava, our model achieved accurate and rapid detection of plant disease categories. This study provides a reference for research work and engineering applications in crop disease detection.

Community Leadership, Development and Broadcast Media

The main purpose of this research work is to find out the place of the mass media and opinion leaders in community development, using a study of Aniocha-North local government area of Delta State as a case in point. The method employed in gathering information for this study is the survey method of data collection using questionnaire and personal interview as primary sources while the use of journals, books, libraries, schools etc formed the secondary source of at collection. It was discovered that information from the mass media gets to members of Aniocha community through opinion leaders. Lazarfied and others said was true in Anicha community as it related to the community development of the town. Finally, since it is believed by the rural dwellers that mass media has not done any thing positive to change lives, the mass media should create the sense of identification through the propagation of common cultural value and symbol and by giving desirable interpretation of event.