Multiple Values Research Articles

Democratizing value alignment: from authoritarian to democratic AI ethics

AbstractValue alignment is essential for ensuring that AI systems act in ways that are consistent with human values. Existing approaches, such as reinforcement learning with human feedback and constitutional AI, however, exhibit power asymmetries and lack transparency. These “authoritarian” approaches fail to adequately accommodate a broad array of human opinions, raising concerns about whose values are being prioritized. In response, we introduce the Dynamic Value Alignment approach, theoretically grounded in the principles of parallel constraint satisfaction, which models moral reasoning as a dynamic process that balances multiple value principles. Our approach also enhances users’ moral and epistemic agency by granting users greater control over the values that influence AI behavior. As a more user-centric, transparent, and participatory framework for AI ethics, our approach not only addresses the democratic deficits inherent in current practices but also ensures that AI systems are flexibly aligned with a diverse array of human values.

Applying the SeDeM Expert Diagram System for Characterization of Multiple Component Powder Mixtures for Fixed-dose Combination Matrix-type Tablet Formulations

Background: The SeDeM Expert Diagram System (SeDeM EDS) is an innovative formulation tool that provides an index of compressibility, which can be used to predict a pow-der’s suitability for direct compression to produce acceptable tablets. Objective: This study investigated the application of this tool to evaluate multiple component powder formulation mixtures for direct compression of tablets. The SeDeM EDS was specifically used to characterize powder mixtures for fixed-dose combination (FDC) matrix-type tablets that contained multiple active ingredients, which has not been done previously with SeDeM EDS. Methods: The FDC matrix-type tablets contained diclofenac sodium and vitamins B1, B6 and B12 in fixed ratios, intended for the management of peripheral neuropathy. The parameters of the SeDeM EDS were determined for the multiple-component powder mixtures and the indices were calculated to predict direct compressibility. The FDC tablets were subsequently manufactured uti-lizing direct compression and subjected to pharmacotechnical test evaluations to measure the ac-curacy of the SeDeM EDS’s predictions. Results: This study proved the versatility of the SeDeM EDS and its utility to adequately charac-terize FDC powder mixtures for matrix-type tablets manufactured by direct compression. Addi-tionally, a new calculation was suggested to determine the percentage of corrective excipients re-quired in the case when multiple incidence factor values are below the value of 5. Prediction of the correct quantity of corrective excipient to be added is important to obtain an acceptable direct compressible formulation. Conclusion: The results obtained confirmed that the SeDeM EDS correctly predicted the performance of all formulations.

Overview of the Siwa Oasis Study in Egypt

The Siwa Oasis in the western desert of Egypt has attracted the attention of academic circles at home and abroad because of its long history, mysterious culture, and unique natural landscape. The research covers many fields such as history, anthropology, linguistics, environment and ecology, and economic development. The foreign research is thorough and comprehensive, and has many achievements on the historical status of Siwa, modern cultural conflict and change, language and society, ecological system and its sustainable development, while the domestic research is still superficial, mainly on the introduction of the humanistic style and historical overview. Through a comprehensive analysis of these research results, this study can have a more comprehensive understanding of the multiple values of Siwa and the problems faced by traditional culture represented by Siwa in the era of globalization.

Ungated, plug-and-play preclinical cardiac CEST-MRI using radial FLASH with segmented saturation.

Electrocardiography (ECG) and respiratory-gated preclinical cardiac CEST-MRI acquisitions are difficult because of variable saturation recovery with T1, RF interference in the ECG signal, and offset-to-offset variation in Z-magnetization and cardiac phase introduced by changes in cardiac frequency and trigger delays. The proposed method consists of segmented saturation modules with radial FLASH readouts and golden angle progression. The segmented saturation blocks drive the system to steady-state, and because center k-space is sampled repeatedly, steady-state saturation dominates contrast during gridding and reconstruction. Ten complete Z-spectra were acquired in healthy mice using both ECG and respiratory-gated and ungated methods. Z-spectra were also acquired at multiple saturation B1 values to optimize for amide and Cr contrasts. There was no significant difference between CEST contrasts (amide, Cr, magnetization transfer) calculated from images acquired using ECG and respiratory-gated and ungated methods (p = 0.27, 0.11, 0.47). A saturation power of 1.8μT provides optimal contrast amplitudes for both amide and total Cr contrast without significantly complicating CEST contrast quantification because of water direct saturation, magnetization transfer, and RF spillover between amide and Cr pools. Further, variability in CEST contrast measurements was significantly reduced using the ungated radial FLASH acquisition (p = 0.002, 0.006 for amide and Cr, respectively). This method enables CEST mapping in the murine myocardium without the need for cardiac or respiratory gating. Quantitative CEST contrasts are consistent with those obtained using gated sequences, and per-contrast variance is significantly reduced. This approach makes preclinical cardiac CEST-MRI easily accessible, even for investigators without prior experience in cardiac imaging.

Performance evaluation for Q-learning based anycast routing protocol in unmanned aerial vehicle networks with multiple base stations

Unmanned Aerial Vehicle (UAV) networks can be used for data transmission in emergency scenarios, relaying data from ground users to base stations (BSs). While UAV networks collaborating with multi-BSs can significantly enhance performance, existing UAV routing protocols predominantly focus on unicast routing and often neglect critical aspects such as base station discovery. In addition, the high mobility of UAVs and rapid changes in network topology also pose great challenges for existing multi-BS routing protocols to maintain efficient data transmission. Aiming at the above problems, this paper abstracts the routing of multi-base station UAV networks as anycast routing for dynamic networks and proposes a distributed anycast routing protocol called QARP to improve the data transmission performance. In QARP, base stations can be discovered automatically and parameters of Q-learning are dynamically adjusted to improve the efficiency of data transmission. The Link Duration Estimation is used to influence routing decision and dynamically adjust the hello message interval. A multiple base stations transmission value function is designed to indicate the performance of data transmission and is used to calculate the reward and update Q-table. The experimental results show that the QARP proposed in this paper outperforms existing multi-BS routing and Q-learning based routing protocols in terms of delay, packet delivery ratio and throughput in single base station and multiple base stations scenarios.

Cardiometabolic Health in Children with Pre-existing Dyslipidemia: Trends and Disparities.

In orderto evaluate the impact of a child's proximity to an urban center on their cardiometabolic health status and their response to treatment of cardiometabolic risk factors, retrospective review of the institutional pediatric lipid clinic database was conducted for all subjects receiving care from 1/1/2011 to 12/31/2023, with subgroup analysis of subjects with ≥ 2 clinical encounters and/or set of laboratory values. Subjects were classified as rural/urban and advantaged/middle/underserved based on their zip code using the Wisconsin Collaborative for Healthcare Quality classification system. Multivariate linear regression was used to examine disparities in baseline cardiometabolic health parameters by urban/rural groupings. Among subjects with multiple encounters, baseline and final available values were analyzed using paired t tests. 2419 subjects were included in the initial analysis with 75.4% living in urban environments and 51.9% having advantaged status. Urban advantaged children had lower BMI percentiles and waist circumference, but higher LDL-C values compared to other urban groups (p < 0.05). Rural advantaged and middle groups had higher TC, non-HDL-C, and LDL-C than the urban groups (p < 0.05). 1522 subjects had ≥ 2 encounters, with significant decreases in all lipid parameters (p < 0.006 for all). There was no change in fasting glucose, HbA1c, or ALT. Disparities in cardiometabolic parameters were seen at time of presentation based on rural/urban and advantaged/middle/underserved status, but all groups had similar improvements in cardiometabolic parameters throughout the course of treatment.

Spatial Distribution Characteristics and Driving Factors of 777 Traditional Villages in Yunnan Province: A Study Based on GWR Model and Geodetector

Traditional villages (TVs) are clusters for the conservation of farming civilization heritage with multiple values. Studying their spatial distribution and driving mechanisms is conducive to formulating conservation and development strategies. In this study, 777 TVs in Yunnan Province were examined. Spatial analysis methods such as the nearest neighbor index (NNI), kernel density estimation (KDE), and Moran’s I were used to investigate their spatial distribution patterns. Twelve driving factors were selected from natural, spatial, social, and cultural aspects. The driving mechanisms affecting the distribution of TVs were explored by employing the geographically weighted regression (GWR) model and Geodetector combined with mathematical and statistical methods to systematically study the spatial autocorrelation and heterogeneity of TVs in Yunnan. The results of this study indicate that: (1) The 777 TVs in Yunnan Province are evidently clustered in the overall distribution, presenting a contiguous and concentrated distribution pattern of “3 high-density areas + multiple medium-density belts”. However, the distribution of TVs is unbalanced. The spatial distribution is significantly positively correlated globally, and there exist three types of clustering in local areas. (2) The spatial layout of TVs in Yunnan Province is jointly influenced by multiple factors, with obvious spatial heterogeneity. Regional cultural factors are the key ones. TVs tend to be distributed in areas with medium–high elevation, flat slops, sunny slopes, moderate precipitation and temperatures, and a certain distance from water sources and roads. A large number of TVs are distributed in areas with a high proportion of ethnic minorities. (3) The main factors affecting the distribution of national-level TVs in Yunnan are intangible cultural heritage, cultural relic protection units, followed by factors such as transportation, slope, and elevation. The interaction between intangible cultural heritage (X11) and cultural relic protection units (X12) reveals the strongest interactive driving force. This study reveals the diverse characteristics of the spatial distribution of national-level TVs in Yunnan and their influencing mechanisms, which can provide a scientific decision-making basis for the future protection and development of TVs in Yunnan and guide the sustainable development of TV cultural heritage clusters.

An Optimized Method for BMI in Environmental Projects Based on the Value-Oriented AHP

Effective rural solid waste management (RSWM) is crucial for sustainable rural development, particularly in developing countries, which face dual challenges from economic growth and environmental protection. To build a more sustainable business model for RSWM, this study employs a value proposition analysis approach to systematically analyze the multi-level requirements of various stakeholders involved in the current models of RSWM. It then proposes a novel optimizing approach for RSWM models from the perspective of business model innovation (BMI) by integrating the value proposition (VP) theory with the algorithm of the Analytic Hierarchy Process (AHP) to fill the research gap. In this study, an AHP-based evaluating algorithm is firstly proposed based on the viewpoints of multiple stakeholders’ value propositions. Using this method, four typical pilot RSWM models across China are assessed and ranked, followed by a comprehensive analysis of the results and the incorporation of hierarchical criteria from multiple value dimensions. Building on the analysis of the results, optimization strategies for a novel RSWM model are proposed by constructing a conceptual framework of the business model. In addition, the analysis also indicates that both phases of sorting and collection and transportation are the main factors for fulfilling the overall satisfaction of the RSWM models. Lastly, this paper concludes by summarizing the relevant theoretical and managerial implementations of the proposed approach, providing a foundation for the scientific development of appropriate RSWM models by providing a new idea for BMI especially for environmental management projects that include multiple stakeholders.

Soil health assessment of dressing and smelting slag field based on heavy metal pollution-buffer-fertility three aspects

The soil health of heavy metals in dressing and smelting slag field varies soil physicochemical properties. This study proposed a new soil health index based on heavy metal pollution-buffer-fertility for dressing and smelting slag field. Consequently, spatial distribution of soil physicochemical properties and heavy metals were varied, and correlated to each other. Soil buffer function and fertility played a much more important role in soil health in the dressing and smelting slag field located in Gejiu city, which can result in that soil health indexes were higher than those in Huili county, although the soil heavy metal pollution in the former was severer than that in the latter. Maximum values of soil health indexes for dressing and smelting slag field in Gejiu city were 3.84, 0.61, and 1.75 corresponding to additive, multiplicative, and maximum value composite methods, which were higher than those in Huili county with 2.25, 0.61, and 0.17. The former’s high value is concentrated in southeastern regions and low value in some western areas, the latter’s high value occurred in southeastern districts and low value in northwestern places. So this study unveils a novel perspective on the soil health consequences associated with soil heavy metal pollution-buffer-fertility three aspects.

Optimal mud pressure design using nonlinear failure criteria for wellbores in shaley sedimentary reservoir

AbstractWellbore drilling disturbs the equilibrium stress state in the rock mass, resulting in stress redistribution around the opening. Wellbore stability in the altered stress state is vital for engineering applications, as the wellbore instability results in cost overrun. Accurate estimation of rock mechanical properties, in‐situ stresses, and required mud pressure is crucial for safe drilling. If the mud pressure is lower than required, the shear failure of the rock takes place, and conversely, if the mud pressure is higher than the upper limit, tensile failure occurs. A strength criterion that can accurately predict the mud pressure may help significantly reduce non‐productive time and cost in well drilling. The commonly used Mogi‐Coulomb (MGC) failure criterion for estimating critical mud pressure neglects the few fundamental aspects of rock failure characteristics observed in the laboratory, such as nonlinear strength response in major‐minor principal stress space and prediction of multiple failure stress values near the triaxial axial extension boundary. The present study uses the Modified Mohr‐Coulomb true‐triaxial failure criterion (MMC_TT), which predicts the strength of rock better than the MGC in laboratory true‐triaxial tests to overcome the limitations. Moreover, based on the data from previously published five vertical wells in the Krishna‐Godavari basin (K‐G basin), an empirical relationship is proposed to obtain the strength parameters for the MMC_TT criterion for shaley sedimentary rocks as the existing correlations do not cater for the parameters required for MMC_TT criterion. The comparative study of the MMC_TT with MGC, Modified Mohr‐Coulomb triaxial, and Mohr‐Coulomb failure criteria, showed that for most of the K‐G basin wells, the MMC_TT criterion predicted close to the MGC. However, for well‐13, the MMC_TT criterion results are closer to the mud pressure used in actual drilling than the MGC.

GPU Acceleration of the Boys Function Evaluation in Computational Quantum Chemistry

ABSTRACTThe Boys function, a mathematical integral function, plays a pivotal role and is frequently evaluated in ab initio molecular orbital computations. The main contribution of this paper is to accelerate the bulk evaluation of the Boys function through the effective utilization of GPUs. The proposed GPU implementation addresses GPU‐specific programming issues such as warp divergence and coalesced/stride access to global memory, and we employ the optimal numerical evaluation method from four methods based on input values to ensure efficient computation with sufficient accuracy. Moreover, to consider actual computation of molecular integrals, we have implemented and evaluated the proposed method in two scenarios: single evaluation, which computes a single value of the Boys function for a single input, and incremental evaluation, which computes multiple values of the Boys function incrementally. The execution time of the proposed GPU implementation was evaluated for both scenarios using an NVIDIA A100 Tensor Core GPU. As a result, the GPU‐accelerated bulk evaluation has achieved a throughput of computing the values of the Boys function times per second for the single evaluation and times per second for the incremental evaluation, respectively. Our parallelized CPU and GPU implementation is available at https://github.com/sstsuji/Boys‐function‐GPU‐library.

Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types.

Animals can adapt their preferences for different types of reward according to physiological state, such as hunger or thirst. To explain this ability, we employ a simple multi-objective reinforcement learning model that learns multiple values according to different reward dimensions such as food or water. We show that by weighting these learned values according to the current needs, behaviour may be flexibly adapted to present preferences. This model predicts that individual dopamine neurons should encode the errors associated with some reward dimensions more than with others. To provide a preliminary test of this prediction, we reanalysed a small dataset obtained from a single primate in an experiment which to our knowledge is the only published study where the responses of dopamine neurons to stimuli predicting distinct types of rewards were recorded. We observed that in addition to subjective economic value, dopamine neurons encode a gradient of reward dimensions; some neurons respond most to stimuli predicting food rewards while the others respond more to stimuli predicting fluids. We also proposed a possible implementation of the model in the basal ganglia network, and demonstrated how the striatal system can learn values in multiple dimensions, even when dopamine neurons encode mixtures of prediction error from different dimensions. Additionally, the model reproduces the instant generalisation to new physiological states seen in dopamine responses and in behaviour. Our results demonstrate how a simple neural circuit can flexibly guide behaviour according to animals' needs.

Divergent values and perspectives drive three distinct viewpoints on grizzly bear reintroduction in Washington, the United States

Abstract The success or failure of apex carnivore reintroduction efforts can hinge on understanding and attending to diverse viewpoints of those involved in and impacted by reintroductions. Yet, viewpoints vary widely due to a suite of complex and intersecting factors, such as values, beliefs and sociocultural context. We ask, ‘what are the diverse viewpoints that exist surrounding apex carnivore recovery and what kinds of emotional, analytical and values‐based judgments might people use to construct their viewpoints?’ We used Q‐methodology to identify distinct, generalized viewpoints and areas of overlap and divergence between them, surrounding a proposal to reintroduce grizzly bears (Ursus arctos horribilis) to the North Cascades Ecosystem, USA. Q‐methodology combines qualitative and quantitative methods by asking purposefully sampled respondents to sort various statements on a given topic into an ordered grid. We found three distinct viewpoints among 67 respondents using factor analysis and responses to open‐ended questions about the sorting exercise. Two of these viewpoints represent essentially polarized perspectives corresponding to deeply normative notions about grizzly bear recovery, where one views reintroducing bears as a moral requisite, and the other views it as inappropriate and risky. These viewpoints primarily diverged on their perceptions of risk and perspectives about our collective responsibilities to and appropriate relationships with others (i.e. ‘relational values’). The third viewpoint was distinguished by its prioritization of practical considerations and views reintroducing bears as impractical and not sensible. Our analysis underscores the need to identify and attend to latent viewpoints that may be overlooked in the polarized public discourse as well as the multiple value systems and perceptions of risk that are integrated in perspectives on grizzly bear reintroduction. Additionally, our broadly defined identity groups were of very little utility in predicting viewpoints in this study, highlighting the importance of avoiding assumptions about people's views based on their identities and interests. We argue that forefronting conversations about responsibilities and appropriate relationships is critical for finding acceptable paths forward in such recovery efforts. We discuss the management implications of these findings for the North Cascades grizzly bear reintroduction, and for other large carnivore reintroductions. Read the free Plain Language Summary for this article on the Journal blog.

The values dimension of policy success and failure: Considering two Australian rural adjustment policies

AbstractIn 1992, Australia introduced a National Drought Policy comprising a number of policies each focused on achieving a common goal of a self‐reliant, productive farm sector capable of managing the challenges of climate variability. This paper considers two of these policies, one of which has been an acknowledged success and the other that is generally regarded as a failure. The paper assesses these schemes against the criteria proposed by Luetjens et al. and concludes that analysing policies in values terms is a more effective way of understanding, and potentially predicting, policy success and failure.Points for practitioners Policy is more likely to succeed if there is an alignment between the purpose underpinning a policy agency and the nature of the policy problem. Policy can fail where the values of the agency and the target population for the policy differ. Policy success is more likely where there is a single, clear goal embodying a single value priority rather than multiple values that are in conflict.

Objective analysis of orbital rim fracture CT images using curve and area measurement

The orbital bone presents a closed curve, and fracture results in disfigurement. An image analysis procedure was developed to examine before and after corrective surgery. An ellipse and circumscribed contour embodied the closed curve. Three-dimensional (3D) computed tomography (CT) images were collected from 25 patients. Orbital rim data were generated, and binary images were created to facilitate closed curve analysis. Various indices, including the solidity value (closed curve area/convex hull area) and ellipse distance (discrepancy between the closed curve and the ellipse traversing the curve), were utilized. The ratios of various indices—including the number of vertices, solidity value, and ellipse distance—between the affected and unaffected sides showed postoperative values that were closer to 1, which would indicate perfect symmetry, than the preoperative measurements (P < 0.05). The solidity value increased, while both the ellipse distance and curvature values decreased, reflecting the transformation of bends into smooth contours following reduction surgery (P < 0.05). Significant correlations were observed between 1-solidity, ellipse distance, and curvature using the Pearson correlation test (P < 0.05). This study validated postoperative changes in various indices and established correlations among multiple values, specifically solidity, ellipse distance, and curvature. Employing multiple indices with mutual complements has provided objective information confidently.

A Comparative Study of the Design of East Asian Royal Gardens

The current research methods employed in the study of gardens are largely concentrated in the fields of landscape architecture, architecture, and ecology. However, there is a paucity of analytical methods dedicated to the domain of garden design. However, the design content of gardens is within the scope of design studies. It is therefore imperative to develop or refine research methods for the analysis of gardens that are firmly grounded in design principles. The primary contribution of this study is the development of a design analysis framework, centered on the interrelationships between ‘user–garden–environment’, which can be applied to the analysis and investigation of gardens from a ‘people, objects, and environment’ perspective, in alignment with design studies. Influenced by similar geography, environment, culture, customs, etc., the garden design of China, Japan, and South Korea presents a very East Asian design style of forms, elements, features, etc., but also formed the differences of each characteristic. This paper takes China’s Chengde Mountain Resort, Japan’s Shugakuin Imperial Villa, and South Korea’s Changdeokgung, which are listed on the World Heritage List, as examples Based on the design analysis method proposed in this paper, a relevant design comparative study is conducted in three aspects: users of East Asia’s royal gardens, the design object—the gardens—and the external environment, and the similarities and differences between the Chinese, Japanese, and Korean royal gardens are analyzed. This study aims to verify the feasibility of the analytical framework of ‘user–garden–environment’ design by analyzing typical cases of royal gardens in China, Japan, and South Korea. This will enable the creation of multiple values conducive to the development of gardens. Furthermore, the analytical framework of ‘user–garden–environment’ is subjected to a process of deconstruction through the case studies of typical royal gardens in the three East Asian countries. This is done to overcome the limitations of existing research methodologies, provide a novel systematic research methodology for garden research, and facilitate the protection and inheritance of the historical and cultural heritage of gardens in East Asia. Additionally, this approach offers a reference point for related garden research in the context of modern lifestyles.

Identifying and analyzing variables in musculoskeletal healthcare research

This review intends to help the students and researchers to organize, write, and analyze to make a quality research paper and to know the importance of variables in healthcare clinicians/researchers. Variables are fundamental components of the research question, serving as properties that distinguish members of groups or sets. They explain the different aspects of the sample that is under study. Variables are capable of having multiple values. Variables vary from subject to subject in the sample. A variable is a fundamental concept in research, representing a concept, image, or perception that can take different measurable values. Research design (RD) involves comparing independent groups or conditions, exploring predictive relationships, experimental studies for causal links, and comparative studies with multiple independent variables (IVs) or dependent variables (DVs). Variables play a crucial role in research and are broadly classified into causal relationships, study design, and units of measurement. IV is predictors that influence outcomes known as DV. Extraneous variables are unrelated but impactful. Moderating variables alter the relationship between IV and DV. Intervening variables or confounding variables (CVs) can complicate the cause-and-effect relationships. Active variables are manipulated, while attribute variables, inherent traits such as age, cannot be controlled. Even tests are based on variables. This review provides a comprehensive guide for students and young researchers to understand the role of variables and RD in conducting quality research papers, emphasizing the importance of operationalizing variables, controlling for CVs, and selecting appropriate RDs.

A Study on Non-Homogeneous Multiplicative Boundary Value Problems

The paper deals with the non-homogeneous boundary value problems established in the multiplicative calculus. For this problem, the multiplicative meanings of concepts such as adjoint operator, self-adjoint operator, Lagrange identity, Green's formula are obtained. Then, a criterion is given for the existence of solutions to non-homogeneous multiplicative boundary value problems.

Neuroprotection and mechanisms of ginsenosides in nervous system diseases: Progress and perspectives.

Ginsenosides are the primary component discernible from ginseng, including Rb1, Rb2, Rd, Rg1, Rg2, and compound K, and so forth. They have been shown to have multiple pharmacological activities. In recent years, more and more studies have been devoted to the neuroprotection of various ginsenosides against neurological diseases and their potential mechanisms. This paper comprehensively summarizes and reviews the neuroprotective effects of various ginsenosides on neurological diseases, especially acute and chronic neurodegenerative diseases, and their mechanisms, as well as their potential therapeutic applications to promote neuroprotection in disease prevention, treatment, and prognosis. Briefly, ginsenosides exert effective neuroprotective effects on neurological conditions, including stroke, Alzheimer's disease, Parkinson's disease, and brain/spinal cord injuries through a variety of molecular mechanisms, including anti-inflammatory, antioxidant, and anti-apoptotic. Among them, some signaling pathways play important roles in related processes, such as PI3K/Akt, TLR4/NF-κB, ROS/TXNIP/NLRP3, HO-1/Nrf2, Wnt/β-catenin, and Ca2+ pathway. In conclusion, the present study reviews the research progress on the neuroprotective effects of ginsenosides in the last decade, with the aim of furnishing essential theoretical underpinning and effective references for further research and exploration of the multiple medicinal values of Chinese herbal medicines and their small molecule compounds, including ginseng and panax ginseng. Because there is less evidence in the existing clinical studies, future research should be focused on clinical trials in order to truly reflect the clinical value of various ginsenosides for the benefit of patients.

Multicultural Education in Nigeria

Abstract Nigeria is the most populous Black nation in the world and richest nation in Africa. It has multiple tribes, cultures, languages, religions, and values. It gained its independence from British colonial rule on October 1, 1960. Even with independence, colonialism has had aftereffects that have exacerbated sociocultural maladies such as tribalism, religious fanaticism, massive corruption, military coups, and devastating conflicts (like the 1967-1970 Biafra-Nigeria War, which took millions of lives). While education is a powerful tool in socioeconomic and political developments, it has not been philosophically changed to respond to the cultural, linguistic, and religious diversities of Nigeria's citizenry. Can an adequate educational foundation be instituted without valuing the multicultural strengths of Nigeria? Can Nigeria's progress be advanced without paradigm and power shifts in the education of all students? Can Nigerians 'freedoms be equalized without respect for all tribes? Nigeria must foster multicultural education to advance itself at all levels.