The Impact of Proliferation of Small Arms on Nigeria’s National Security

The Impact of Proliferation of Small Arms on Nigeria’s National Security

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 7, 2026 (Page : 383-398)

ABSTRACT:

This study investigates the proliferation of Small Arms and Light Weapons (SALW) in Nigeria from 2010 to 2025 and its implications for national security, guided by the Failed State Theory and the Human Security Theory. Using secondary data from ACLED, UNODC, the Small Arms Survey, and Nigerian government reports, the research identifies key drivers of SALW proliferation, including porous borders, insurgency dynamics, organized criminal networks, and persistent corruption. Findings show that the proliferation of SALW has fueled armed conflict, resulting in over 3.3 million internally displaced persons by 2023, with more than half being children, and imposing significant humanitarian and fiscal burdens on the state. Although tactical interventions such as arms seizures have had short-term effects, systemic weaknesses have prevented sustainable security improvements. In conclusion, the study confirms that SALW proliferation poses both structural and human security threats. Consistent with the Small Arms Survey (2023), the study recommends strengthening institutional capacity and enhancing border control to effectively curb the flow of illicit arms.

Keywords: Small Arms Proliferation, National Security, Human Security, Failed State Theory, Nigeria, Internal Displacement, Arms Trafficking.

Green Solvents in Organic Synthesis: Sustainable Alternatives for Eco-Friendly Chemical Transformations

Green Solvents in Organic Synthesis: Sustainable Alternatives for Eco-Friendly Chemical Transformations

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 7, 2026 (Page : 373-382)

ABSTRACT:

Organic solvents are widely employed in organic synthesis but raise significant concerns due to their high flammability, volatility, toxicity, and hazardous nature. According to the principles of green chemistry, the use of solvents should be avoided or minimized whenever possible. However, in cases where their use is unavoidable, it is essential to prioritize greener, less toxic alternatives to reduce environmental and health impacts. These challenges make it difficult to identify a compound or class of compounds that can be truly recognized as a green solvent.This chapter focuses onunconventional solvents, such as ionic liquids, supercritical fluids like water and carbon dioxide, deep-eutectic solvent and water, biosolvent, which serve as alternative reaction media to overcome the challenges linked to traditional organic solvents.

Keywords: Green Solvent, Extraction, Flammable, Volatile, ionic liquids, deep-eutectic solvent, bio solvent

Forensic Exhumation of Human Remains: Crime Scene Investigation, Scientific Protocols, and Medico-Legal Challenges

Forensic Exhumation of Human Remains: Crime Scene Investigation, Scientific Protocols, and Medico-Legal Challenges

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 7, 2026 (Page : 301-372)

ABSTRACT: Forensic exhumation is a critical component of modern forensic investigations involving the recovery, examination, identification, and interpretation of buried human remains. It plays a vital role in homicide investigations, cold cases, disaster victim identification, mass grave investigations, historical inquiries, and human rights investigations. This review provides a comprehensive overview of the scientific, legal, ethical, and technological aspects of forensic exhumation, emphasizing current methodologies and emerging advancements. The principles of legal authorization, crime scene management, excavation strategies, evidence recovery, forensic anthropology, odontology, DNA analysis, toxicology, radiology, and laboratory investigations are discussed in detail. Special emphasis is placed on modern technologies, including Ground Penetrating Radar (GPR), LiDAR, drone-based surveys, Geographic Information Systems (GIS), three-dimensional crime scene reconstruction, artificial intelligence (AI), machine learning, and portable DNA technologies, which have significantly improved grave detection, documentation, and victim identification. The challenges associated with advanced decomposition, environmental degradation, mixed remains, DNA degradation, legal complexities, and cultural considerations are critically evaluated. Furthermore, future perspectives involving AI-assisted exhumation, digital archaeology, robotic excavation, smart crime scene documentation, and integrated forensic data systems are highlighted. Overall, forensic exhumation represents a multidisciplinary scientific approach that combines traditional forensic principles with advanced technologies to ensure accurate evidence recovery, reliable identification, and effective delivery of justice. Keywords: Forensic exhumation; Crime scene investigation; Human remains; Forensic anthropology; Forensic archaeology; DNA identification; Mass grave investigation; Disaster victim identification; Ground Penetrating Radar (GPR); Artificial intelligence; Machine learning; Digital archaeology; Chain of custody; Forensic technology; Human rights investigation.,ย 

Risk โ€“ Based Authentication Enhancement of University Digital Portal Securityโ€‹

Risk โ€“ Based Authentication Enhancement of University Digital Portal Securityโ€‹

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 7, 2026 (Page : 290-300)

ABSTRACT:

With the rapid advancement of digital systems, academic institutions increasingly utilized centralized digital platforms to support academic services and communication. The University of Eastern Pangasinan currently utilizes a digital portal that has a traditional password-based authentication system, which depends on username and password. This study analyzed user perceptions to the existing authentication method of the digital portal, focusing on three key indicators: (1) accessibility, (2) usability, and (3) security effectiveness. Using a descriptive – developmental research design, data were collected through online surveys and focus group discussion with the administrative staff and students. The findings revealed that while the portal performs well in accessibility and usability, its security effectiveness scored lower, indicating limited user confidence in password โ€“ based authentication. Based on data gathered, a prototype for risk โ€“ based authentication system was developed. This adaptive system evaluates risk through factors such as device and location trust, IP reputation, login patterns, failed attempts, user behavior, and adjusts verification requirements accordingly. Low risk access uses a single โ€“ factor authentication, medium risk triggers one โ€“ time code verification via email, and high risk requires one โ€“ time pin (OTP) verification and hardware token. By conducting a post โ€“ test with the developed prototype, a side-by-side comparison of the weighted means between the existing password – base and the developed risk-based authentication system, the developed system indicates a higher level of satisfaction in terms of accessibility, usability, and security features. The study concludes that the developed prototype for risk โ€“ based authentication system significantly shows the security effectiveness of the system without compromising user experience, offering a practical solution for academic institutions.

Keywords: Risk โ€“ Based Authentication, Digital Portal Security, Security Effectiveness, Accessibility, Usability,

Exploring the Clinical Practicum Experience of Male Midwifery Students: From Gender-Based Exclusion to Professional Inclusion

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 7, 2026 (Page : 279-289)

ABSTRACT:

Midwifery, considered one of the oldest professions, has long been deeply regarded as a womanโ€™s work and is traditionally female-dominated. Since the profession closely focuses on female reproductive health, pregnancy, and childbirth, it is assumed that maternal caregiving is uniquely a maternal role. However, current shifts in the healthcare workforce present opportunities for gender inclusivity, including the integration of male midwives. This study delved into the experiences of male midwifery students in their clinical practicum as they transitioned from exclusion to inclusion, including the different supports provided to them. Using a descriptive phenomenological approach, ten male midwifery students from the University of Eastern Pangasinan and Urdaneta City University participated in semi-structured interviews. Data analysis was conducted using Colaizziโ€™s Method. The students reported ongoing barriers in maternal care environments, limited practical experience that hindered case completion, and pressure on their professional identity, which caused self-doubt and a desire to overperform. These issues led to emotional distress, low morale, and fear, eventually affecting their sense of vocation and commitment. Support from family, peers, faith, and self-motivation acted as a protective barrier. Conversely, institutional and clinical support was often seen as insufficient and inconsistent. Despite these obstacles, the students persisted, driven by their passion and sense of purpose. Nonetheless, their persistence highlights endurance rather than effective clinical systems. The study suggests implementing formal gender-sensitivity training for staff, equitable case distribution, and psychosocial support within the midwifery curriculum, aligned with the gender-inclusive education standards set by CHED Memorandum Order (CMO) No. 3, series of 2023.

Keywords: Male Midwifery Students, Gender-Based Exclusion, Gender Inclusivity, Clinical Practicum, Descriptive Phenomenology, Professional Identity, Cmo No.3 Series Of 2023,

Petrological Estimation of Magma Evolution of IC-10 Sample of Flood Basalt Provinces Using Empirical and Mathematical Approaches within Thermodynamic Framework.

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 6, 2026 (Page : 262-278)

ABSTRACT:

This study focuses on empirical and mathematical approaches within thermodynamic framework to constrain the mineralogic, petrographic evolution, and magmatic conditions of the IC-10 sample within the flood basalt provinces. Field mapping and thin-section analyses with respect to empirical and mathematical approaches reveal the evolution of primary mantle melts as they ascend to the surface along an imposed pressure-temperature path which were estimated to be Hortonolite, Magnesio augite, labradorite, and Feโ€“Ti oxides, consistent with typical tholeiitic basaltic compositions. Whole-rock geochemical, mineralogical and petrographic data classify the lavas as tholeiitic basaltic lava type characterized by high total alkali contents (Naโ‚‚O + Kโ‚‚O หƒ3} with the modal olivine greater than 5% [Modal olivine หƒ5%]. Mineral-based geotherbaromometric calculations yield crystallization temperatures of 700โ€“900 ยฐC at P = 1 kbar, suggesting magma storage within the upper mantle to lower crustal levels. These results imply that the IC-10 within the flood basalt provinces evolved through fractional crystallization of lower-crustal high-velocity layers beneath oceanic plateaus and hotspot tracks represent fractionated cumulates from picritic mantle melts and are therefore an integral part of plume volcanism.The findings contribute to the broader understanding of volcanic activity of IC-10 within the flood basalt provinces and its geodynamic in line with the Cameroon Volcanic Line.

Keywords: Mathematical, Geology, Olivine, Petrographic, Geochemical,

Geochemical Classification of Miango Basalt of Jos Plateau State, Nigeria Using Numerical Analysis

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 6, 2026 (Page : 239-261)

ABSTRACT:

Numerically, the formation of rock forming minerals from magma, depends on the numerical values of each mineral under thermodynamic conditions. This research was focused on geochemical classification of Miango basalt using numerical analysis. Findings have shown that, under mathematical context with Bowenโ€™s and Goldschmidt rules, the Miango basaltic sample of MIANGO VOLCANIC FIELD falls within gabbro clan and the estimated minerals using an empirical approach, are Ferro-augite (Basic Clino-pyroxene), Hortonolite (Basic olivine), Labradorite (Basic Plagioclase) and Ulvospinel (Iron ore). The gabbro clan includes basalt, dolerite, norite, scoria and gabbro and therefore empirically, Miango basaltic sample of MIANGO VOLCANIC FIELD was found to be characteristics of rock of Gabbro clan and the rock type for Miango basaltic sample in MIANGO VOLCANIC FIELD is Alkaline Olivine basalt magma type. Finally, the โ€œmathematical connectionโ€ between Bowenโ€™s and Goldschmidt concepts was used in this research for a concise explanation of rock forming minerals from the beginning to the end of crystallization and would help the โ€˜beginnersโ€™ especially students of Earth sciences such as Geology, Mineralogy, Petrology and other chemical sciences such as Chemistry, Geochemistry and Petroleum Geology to have clear understanding of rock forming minerals from the Resident magma.

Keywords: Numerical, Geology, Bowen, Goldschmidt, Basalt

Compaction Trend Modeling from petrophysical parameters of Reservoir Wells in the Central Depobelt, Niger Delta.

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 6, 2026 (Page : 223-238)

ABSTRACT:

Understanding compaction behavior is essential for reliable pore pressure prediction, reservoir characterization, and safe drilling operations in sedimentary basins. The study aimed at evaluating the effect of compaction using petrophysical properties across eight(8) Wells and an accurate prediction of the sub-surface pore pressure, a basic requirement for safety, economics and efficiency in exploratory drilling and production of oil and gas. The capacity of assessing both short- and long-term rock behaviors according to the interaction between distinct parameters of rock texture, petrophysical and mechanical properties are highly instrumental to several geoengineering materials (Askaripour et al., 2022). This study presents a compaction trend modeling approach using well-log data from selected reservoir wells โ€˜Zโ€™ field, Central Depobelt of the Niger Delta. Shale intervals were identified and normal compaction trends (NCT) across the study wells were established. The petrophysical characterization estimated across Wells A โ€“ H are shown in Table 1, while the compaction trend delineation obtained from petrophysical parameters for Sonic transit time (Dt), Compressional velocity (Vp), Density(ฯ), Porosity (ฯ•), and Overburden stress (ฯƒstress) for wells A – D and E – H are shown in Figs. 3 – 4, 5 – 6, 7 – 8, 9 – 10, and 11 โ€“ 12, respectively. From the estimated result for Dt across Wells (A โ€“ H), Well A had the highest average value of 117.93 us/ft, while Well H had the lowest average value of 87.64us/ft. For Vp, Well H has the highest average value of 3549.58m/s while Well A had the lowest average value of 264.82m/s. For Density(ฯ) and Porosity(ฯ•), it was observed to have the highest average value of 2.52gcc and fractional value 0.38 in Well H and A, with lowest average values of 2.21gcc and fractional 0.20 in Well A and H, respectively. Overburden stress(ฯƒ), was estimated to have the highest average value of 1.09psi/ft in Well H, with the lowest average value of 0.96psi/ft in Well A. Figs. 3 and 4 indicates that the Dt decreases with depth as compaction of rock increases with increase in ฯ and Vp. The increase in Dt directly corresponded to higher ฯ• values (slower travel). The Vp against depth profile across Wells A-D and E-H shows that Vp increases with depth, leading to higher compaction, because as sediments are compacted, porosity was observed to decreases across all Wells, hence grains are more tightly packed, and the rock matrix becomes stiffer which led to consolidation. This implies that as formation rocks become more compacted (denser) and less porous, their compressional wave velocity increases with decrease in sonic interval travel time, except where high porous and less dense zones were experienced that could initiate the reverse case of the trend, which possibly suggests the presence of abnormal pressure as observed from other complimentary profiles within the study area.

Keywords: Compaction trend, Petrophysical characterization, Overpressure, undercompaction, well logs data, Central Depobelt, Niger Delta.

Exploring Key Focus Areas for Understanding English Poetry

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 6, 2026 (Page : 212-222)

ABSTRACT:

Understanding English poetry necessitates an intricate approach that comprises various key focus areas. This article aims to explore these key focus areas through a comprehensive review of the existing literature on English poetry. The study was grounded in an exploratory research design, which employed the instances of the focus areas discerned in the poetic texts as primary data and the views of previous authors and researchers regarding the areas as secondary data. The secondary data were taken from the related books, and scholarly journal articles. The data were critically analyzed. The research study identifies epigraph, title, speaker, tone, setting, specific diction, figurative language, sound devices, form and structure, theme and motif, historical and cultural context, and epitaph as the key focus areas for understanding English poetry. By highlighting these key focus areas, the article aims to equip readers with the tools necessary to engage with English poetry on a deeper level, fostering both analytical skills and personal connection. This holistic approach not only aids in academic study but also enhances the enjoyment and appreciation of poetry as an art form.

Keywords: Poetry, English Poetry, Form and Structure, Figurative Language, Theme

Bridging Data Scarcity in Criminology Synthetic Crime Datasets and Baseline Predictive Modelling in Nigeria

๐Ÿ“˜ : Nexus Global Research Journal of Multidisciplinary (NGRJM) Volume 2, Issue 6, 2026 (Page : 204-211)

ABSTRACT:

Crime prediction in developing nations faces a fundamental challenge: the absence of structured, incident-level data prevents the application of modern machine learning methods that have transformed predictive policing in data-rich environments. This paper addresses this challenge directly by proposing and evaluating a synthetic dataset methodology for criminological research in Nigeria. A dataset of 3,150 synthetic crime incidents spanning Yenagoa, Bayelsa State (2017 to 2023) was constructed from aggregate official statistics and validated against National Bureau of Statistics records. A hybrid ensemble model comprising XGBoost, Random Forest, and Gradient Boosting trained on 44 engineered demographic, spatial, and temporal features achieved an overall accuracy of 43.0 percent and balanced accuracy of 31.0 percent, exceeding random expectation but falling substantially below operational thresholds reported in data-rich settings. Complete classification failure on Fraud and Deception categories, combined with 226 mutual misclassifications between Property and Violent Crimes, empirically demonstrates that demographic and spatial features lack the discriminative power necessary for typological crime classification. Feature importance analysis revealed a diffuse distribution in which the top ten predictors explained only 36.4 percent of predictive variance. These findings quantify Nigeria’s data infrastructure gap, establish a reproducible synthetic data methodology for data-scarce criminological research, and directly motivate contextual feature augmentation as a priority for future work.

Keywords: Crime prediction, synthetic data, predictive policing, machine learning, data scarcity, feature engineering