Perspective Of Analysis Research Articles

Agility and Resilience in Supply Chains: Investigating Their Roles in Enhancing Financial Performance

Business sectors face disruptive challenges such as cash flow problems in finance and material flow problems in supply chain and logistics processes in today’s rapidly evolving and uncertain environment. Given these challenges, effective management of resource and material flows by managers has become increasingly complex. Supply chain management is crucial for businesses to sustain competitive market positioning. This study distinctively explores the interplay between supply chain management and the financial performance of manufacturing companies, highlighting the increasingly dynamic and competitive global markets. It scrutinizes the moderating roles of supply chain agility and flexibility in this relationship, offering diverse analytical perspectives. The research methodology involved surveying white-collar employees within these companies. Factor analysis was employed to affirm the scale’s validity, and the Hayes model 3 method was utilized to test hypotheses. Our research uncovered intricate interactions between supply chain management, agility, and resilience, underscoring their collective impact on financial performance. The thesis that supply chain management has a substantial impact on financial performance was corroborated by the study’s results. The study also emphasizes the moderating impact of supply chain agility in the relationship between financial performance and supply chain management. The results of the study that supply chain resilience moderates the moderating effect of supply chain agility indicate that the interaction between supply chain resilience and supply chain agility may affect the relationship between supply chain management and financial performance if supply chain resilience enhances the resilience of organizations to external challenges. These insights suggest organizations must integrate agility, management, and resilience considerations in their supply chains to optimize performance. This study contributes a novel viewpoint to the literature, providing strategic guidance for managerial decision making.

Examining the Concept of Reincarnation in African Indigenous Religion Through the Lens of Pentecostal Eschatology

Reincarnation is the belief in ongoing birth and rebirth. The philosophy of African Traditional Religion centres on birth and rebirth, where previous life quality affects both. Infants are seen as resemble deceased grandparents, implying they may be reincarnated. This interpretation assumes that the departed ancestor lived a morally virtuous life and died at an advanced age to qualify for reincarnation in the family lineage. Conversely, a family member is hesitant to associate with someone who has lived a morally repugnant life. The aforementioned intellectual construct is related to Christian eschatology. Thus, eschatology and reincarnation must be thoroughly examined. This paper explains the similarities between African Traditional Religion and Pentecostal eschatology and sheds light on African philosophy. This study examines reincarnation in African indigenous religion through Pentecostal eschatology. The relationship between these two belief systems is examined to determine their similarities, differences, and potential effects on religious understanding and practices. The study employed a qualitative methodology, strictly descriptive analytical perspective and concludes that African indigenous religion and Pentecostal eschatology affect people's beliefs about the afterlife and spirituality. The study further shed light on religious syncretism, amalgamation, and how multiple belief systems interact within African spirituality.

Custom Hiring for Farm Mechanization & Degree of Satisfaction among Farmers in Vijayapur District, Karnataka, India: An Analytical Perspective

Custom Hiring for Farm Mechanization & Degree of Satisfaction among Farmers in Vijayapur District, Karnataka, India: An Analytical Perspective

Overlap and Interrelations Between (Im)mobility Motivations

Scholarship in Migration Studies and Forced Migration and Refugee Studies recognizes that migration and immobility can be the result of various, mixed motivations. Empirical work and conceptualizations of forced and “lifestyle” migration consider some of this complexity. Scholarship on immobility has also examined various, mixed motives. Finally, migration theory development has recently begun to incorporate various “non-economic” motivations, mainly into frameworks originally aimed at tackling economic/labor migrations, mainly integrating force and/or environmental factors. However, efforts to conceptualize and theorize on how and why motivations overlap or are interrelated (positively or negatively) are more scant, less explicit, and less systematic. In this paper, I provide a broad systematic taxonomy of migration and immobility motivation overlap and interrelation. First, I describe the six main (im)mobility motivations discussed in the literature—namely economic, labor-related, safety-related, environmental, family-related, and related to self-fulfillment—organizing them around the degree to which they are driven by extrinsic and/or intrinsic rewards and costs. Second, I provide a general typology of possible ways in (im)mobility motivations become “alternative” to and/or concurrent with each other, and how these instances operate at individual and/or population levels. Third, I examine how the different motivations fit within three important theories of micro-level decision-making in the literature, exploring different points of overlap and interrelation between mechanisms within and across analytical perspectives. I conclude discussing the potential implications of this motivation integration.

Augmentation of Receptive Skills and Integration of Technology: An Analytical Perspective of Faculty’s Perceptions and Observations in EFL Context

Focusing on the utilization and integration of technology in EFL classrooms to train learners and enrich language inputs. Augmenting receptive skills in the EFL contexts, this paper has repopulated faculty’s perceptions and observations respecting the integration of technology. The study discloses patricians’ thoughts regarding the significance of integrating technology in language classrooms in Saudi for the augmentation of professional strength and academic performance. Language has become more error-free during the practices through technological devices and applications of apps in sessions by language instructors. The study reveals that teachers have presented the effectiveness of the integration of technology for the elevation of de-codification and standardization of language receptions. To inculcate language materials enhances learners’ comprehension during discussions and participations. Instructors have concluded that the integration of technology assists students’ knowledge of language helping in the deconstruction of codification purportedly. Correspondingly, faculty have communicated their discernments of technology integration in EFL classrooms to capitalize on its substantial application for enhancing receptive domains. This research has clarified that integration of technology has become lucrative to instigate effectively learners to receive messages—minimizing misinterpretation of text. Obtaining the overall insights and observations of teachers have identified the optimistic implication of integrating technology for instructional applications and enhancement of receptive skills. They discussed and reflected on the constructive impacts of technology integration on EFL learners. Moreover, the researcher used two questionnaires to conduct the present study from faculty, whose perceptions and attitudes about technology integration inspiring and instigating factors influencing students in the EFL context. Data have been analyzed through SSP to know the differences between all participants’ selected options. Hence, it can be recapitulated that the augmentation of receptive skills has effectual acceleration after the integration of technology.

Study on thermal crack characteristics of granite in Shandong Province, China under different temperatures and heating/cooling treatments

The qualitative and quantitative analysis of crack initiation characteristics, extended procedure, and crack network morphology of rock under different temperatures and heating/cooling paths was conducted in order to delve deeper into the mechanism of thermal cracking, and the analytical perspectives mainly include microstructure, thermodynamics, and mineral crystal properties. Research results indicate that 200–300 °C and 600 °C are two obvious mutation points of water-cooled samples, while air-cooled samples show mutation points around 600 °C. The initiation positions of thermal cracking under all temperature paths are relatively similar, with intergranular crack located between particles at the edge of the sample or intercrystalline cracks in the middle of feldspar or quartz aggregates. Slow heating and rapid cooling contribute to the complexity of the thermal crack network, and rapid heating can form larger sized thermal cracks. The process of thermal cracking can be divided into three stages: initiation of small cracks, joint development of main cracks and small cracks, and interconnection of cracks to form a network structure. The thermal cracking mechanism is attributed to differences in expansion and thermal conductivity among various crystals.

Budget impact models for lung cancer interventions: A systematic literature review.

Budget impact models (BIMs) forecast the financial implications of adopting new technologies and the potential need for budget reallocation, thus playing a crucial role in reimbursement decisions. Despite the importance of accurate forecasts, studies indicate large discrepancies between estimates and reality. We are developing an artificial intelligence-based clinical decision tool to identify patients with non-small cell lung cancer who are most likely to benefit from immunotherapy. To evaluate the budgetary implications and describe a systematic literature review of published lung cancer BIMs. We searched PubMed and EMBASE for studies published between 2010 and 2023 that include BIMs that describe lung cancer interventions. Forward and backward reference searches were performed for all qualifying studies. We extracted author and publication year, country, interventions, disease stages, time horizon, analytical perspective, modeling methods used, types of costs included, sensitivity analyses conducted, and data sources used. We then evaluated adherence to the Professional Society for Health Economics and Pharmacoeconomics Research best-practice guidelines. A total of 25 BIMs were identified, spanning 14 different countries. Model structure could not be ascertained definitively for nearly half of the models. The cost calculator approach was most common among the others. Time horizons ranged from 1 to 5 years, in line with recommendations. Most models compared drugs, 4 compared nondrug interventions, and 7 compared diagnostic technologies. Assumptions about market uptake were poorly documented and poorly motivated. Inclusion of cancer-related costs was rare. Adherence to best practices was variable and did not appear to improve over time. The number of published BIMs for lung cancer exceeded expectations. There were modest trends toward publication frequency and model quality over time. Our analysis revealed variability across the models, as well as their adherence to best practices, indicating substantial room for improvement. Although none of the models were individually suitable for the purpose of evaluating an artificial intelligence-based treatment selection tool, some models provided valuable insights.

Attractiveness of African stock markets for foreign investors : An analytical perspective

Attractiveness of African stock markets for foreign investors : An analytical perspective

Efficient approach for generating vortex sources with arbitrary orbital angular momentum in acoustic experiments

Abstract In theoretical research framework of acoustics or optics, how to provide stable and efficient experimental vortex sources with arbitrary orbital angular momentum (OAM) (especially with larger OAM) is a highly challenging research topic. Here, we propose and demonstrate the general principle of two different methods to generate vortex sources with arbitrary OAM, based on the point-sources array and acoustic metamaterials, respectively. Specifically, the general synthetic law is summarized from the analytical perspective behind generating two-dimensional vortex waves using different point sources with different phases, and the design flexibility of acoustic metamaterials is also utilized to provide an ideal solution for generating vortex sources with larger OAM. Besides, we qualitatively and quantitatively determine the OAM of generated vortex waves through simple formulas, and briefly discuss the applicability and stability of two different methods with complementary advantages. The principles of vortex sources generation revealed in this work provide direct theoretical support for the experimental exploration of interactions between multiphysics fields and complex media, with potential applications in vortex fields manipulation and OAM detection.

Hands, Fingers, Strings, and Bows

In this article, I draw on public-facing sources and my violinistic experience to show how attention to performance technique illustrates three different relationships between performance and analysis. In the Largo from J.S. Bach’s Sonata No. 3 for Solo Violin (BWV 1005), multiple-stop chords, string-based affordances, and bowings in turn correspond with, contradict, and create new analytical perspectives. I first collate definitions of interpretation and technique as they relate to performance. Interpretation is non-instrument-specific and deals with decoding and expressing musical meaning; technique is instrument-specific and deals with the granular mechanics of sound production. A multiple-stop intensity model shows that changes in a violinist’s multiple-stop-based effort correspond with significant cadential markers. At the local level, the violinistic “feel” of each quadruple stop aligns with expressive aspects of harmony and form. Heinrich Schenker’s performance recommendations for the Largo’s cadences, by contrast, conflict with a violinist’s experience of how the cadences intersect with instrumental affordances. Although the two perspectives may be reconcilable, actual performances support the instrument-grounded perspective. Finally, I draw on basic bowing motions to create an analytical technique of bowing reduction. My reduction of the Largo reveals a recurring bowing-based motive, which in turn elucidates the source of a performative tension I have experienced when playing the movement. This final example reminds us that technique and interpretation—just like performance and analysis—are inevitably entangled.

Synthetic Strategies for Vitamin-loaded Carbon Dots and their Detection using Biosensors: A Review

Abstract: Carbon dots belong to the class of nanomaterials invented accidentally and are attracting a lot of attention these days. Carbon dots are non-toxic, photostable, and easy-to-synthesize nano formulations having good water-soluble properties when treated chemically by manipulating surface active groups, followed by the addition of solubilizing agents and size reduction. These are widely used in bioimaging, electrochemical sensing, targeted drug delivery, and other biomedical activities. In recent years, significant attempts have been emphasized by analysts to the detection of vitamins embedded carbon dots using biosensors. The biosensing of vitamins has become easy due to the luminescence property of carbon dots, which makes them easy to detect. Therefore, in this review, we have reported synthetic strategies and recent biosensorbased detection techniques used in the analysis of vitamin-loaded carbon dots. Even from the carbon dot’s analytical perspective, there is still a lot of research needed in the area of biosensing, bioimaging, and healthcare applications. Unique features, along with the controllable synthesis methods, will lead to a bright future in the detection and characterization of drugs using carbon dots.

Rational design of stable Cu and AuCu nanoparticles for investigations of size-enhanced SERS applications

BackgroundWhile significant progress has been made to clarify the effects of Au and Ag nanoparticle size on SERS enhancement, research on the size effects of copper nanoparticles and copper-related nanoalloys on SERS enhancement remain scarce. Nanoscale copper (Cu) is important because of its unique sensing and catalytic properties; however, research on its size and compositional effects remains a significant challenge because of the intricate fabrication process and difficulty in preventing oxidation. ResultsOur study elucidated the size-dependent, surface-enhanced Raman scattering (SERS) of Cu NPs, particularly the sensing capabilities of both electromagnetic (EM) SERS at 1.5 × 103 and chemical enhancement (CE) SERS at 3.6 × 104 of approximately 58 nm Cu NPs. Additionally, a solution aging examination revealed preservation of the metal-related core structure, surface plasmon resonance, and SERS features of the PSMA/ONPG-coated Cu NPs for up to 7 days. With the introduction of galvanic replacement reactions and laser ablation syntheses, the incorporation of Au atoms enabled the fabrication of 7–75 nm AuxCuy nanoparticles by using the remaining Cu core after aging in water, which offered precise control over the Cu/Au ratio from 5/95 to 29/71. SERS measurements of the large AuxCuy nanoparticles amplified up to 1.4 × 104 of the EM-mediated vibrational signals from the adsorbed molecules. The strong Au–S chemical bonds of the Au-rich AuxCuy nanocrystals increased the CE SERS to 5.5 × 104, whereas the Au3Cu1 crystals at the AuxCuy interface decreased the CE SERS but improved the electron transfer for catalysis via SERS detection. SignificanceOur research provides further insight into the structural and size effects of Cu and AuCu alloys used as SERS enhancers and offers avenues for designing cutting-edge SERS catalytic sensors tailored to Cu-related catalytic reactive structures.For the first time, we also manipulated the Cu atomic structure and surface composition to understand the significance of surface effects on SERS substrates of the Cu series from a nanoscale analytical perspective.

Navigating the labyrinth: how political traditions and geostrategic interests shape U.S. intervention in the civil-military relations of developing countries

ABSTRACT This research examines patterns and factors influencing U.S. civil-military relations interventions in developing countries. Drawing on theories of new clientelism and geopolitics, it proposes developing states’ political traditions and U.S. geostrategic interests jointly shape U.S. intervention policies through an interactive effect. Quantitative analysis of U.S. military assistance and engagement data across 97 developing countries (1990–2020) supports key hypotheses: U.S. civil-military intervention is higher in military-dominated polities and states of major geostrategic interest, with military political traditions amplifying geostrategic factors. Case studies of Egypt and India further reveal differentiated pathways of U.S. military influence across varying political systems. The findings provide new explanations of U.S. foreign military behavior, analytical perspectives on Third World military diplomacy, and insights for developing countries in responding to great power military pressures while preserving sovereignty and security.

El brazo político del campo científico: la Sociedad Brasileña para el Progreso de la Ciencia durante el gobierno de Jair Bolsonaro (2019-2022)

The aim of the article is to explain the political intervention of the scientific field in the context of Jair Bolsonaro's government (2018-2022) in Brazil. The article is tributary to the analytical perspective of present-tense historical sociology, based on a temporal conception as a historical category and methodological perspective. In this sense, it analyzes a) the characterization of the right-wing forces in the Bolsonarist government, the main political and economic agents that support it, and the policies promoted for the area of science and technology; b) the social and political dimensions of the organization and political action of the Brazilian scientific field, taking into account its main organization, the Brazilian Society for the Progress of Science (SBPC) and its demands at this juncture in the face of the reduction in funding for the area and violations of academic freedom. About sources, the participation of SBPC referents and other relevant political and economic agents in the traditional media and in non-traditional spaces, as well as periodical publications in the field of science and technology. As well as periodical publications from the field and the state; official reports and statistical data.

Multi-metric comparison of machine learning imputation methods with application to breast cancer survival

Handling missing data in clinical prognostic studies is an essential yet challenging task. This study aimed to provide a comprehensive assessment of the effectiveness and reliability of different machine learning (ML) imputation methods across various analytical perspectives. Specifically, it focused on three distinct classes of performance metrics used to evaluate ML imputation methods: post-imputation bias of regression estimates, post-imputation predictive accuracy, and substantive model-free metrics. As an illustration, we applied data from a real-world breast cancer survival study. This comprehensive approach aimed to provide a thorough assessment of the effectiveness and reliability of ML imputation methods across various analytical perspectives. A simulated dataset with 30% Missing At Random (MAR) values was used. A number of single imputation (SI) methods - specifically KNN, missMDA, CART, missForest, missRanger, missCforest - and multiple imputation (MI) methods - specifically miceCART and miceRF - were evaluated. The performance metrics used were Gower’s distance, estimation bias, empirical standard error, coverage rate, length of confidence interval, predictive accuracy, proportion of falsely classified (PFC), normalized root mean squared error (NRMSE), AUC, and C-index scores. The analysis revealed that in terms of Gower’s distance, CART and missForest were the most accurate, while missMDA and CART excelled for binary covariates; missForest and miceCART were superior for continuous covariates. When assessing bias and accuracy in regression estimates, miceCART and miceRF exhibited the least bias. Overall, the various imputation methods demonstrated greater efficiency than complete-case analysis (CCA), with MICE methods providing optimal confidence interval coverage. In terms of predictive accuracy for Cox models, missMDA and missForest had superior AUC and C-index scores. Despite offering better predictive accuracy, the study found that SI methods introduced more bias into the regression coefficients compared to MI methods. This study underlines the importance of selecting appropriate imputation methods based on study goals and data types in time-to-event research. The varying effectiveness of methods across the different performance metrics studied highlights the value of using advanced machine learning algorithms within a multiple imputation framework to enhance research integrity and the robustness of findings.

Applying Epicurean Philosophy to Managing Modern Pursuits of Happiness and Life Satisfection – An Analytical Perspective

Applying Epicurean Philosophy to Managing Modern Pursuits of Happiness and Life Satisfection – An Analytical Perspective

PRÁTICAS PEDAGÓGICAS INCLUSIVAS NA EDUCAÇÃO BÁSICA

This research sought to analyze the scientific production on the pedagogical practices used by Elementary Education teachers, which favor the learning of students with disabilities from the analytical perspective of Universal Design for Learning (UDL). A bibliographic search was carried out based on three keywords: disability, pedagogical practices and inclusion. For all documents found, inclusion criteria were determined: addressing pedagogical practices with students with disabilities, publications between 2011 and 2022, through the Portal de Periódicos da CAPES and having: “pedagogical practice”, in the title and abstract. As a result, 16 articles were found, highlighting the understanding of teachers about Inclusive Education, the performance of Specialized Educational Assistance (SEA), the use of the Individualized Educational Plan (IEP), positive stimulation of teachers and family in education. The survey also pointed out the challenges of adapting the school curriculum and training teachers for a teaching that contemplates everyone's participation and learning. Under the critical analysis of the UDL approach, this study showed that we are still far from having curricula and teachers prepared to carry out pedagogical practices that everyone can participate in without the need for adaptations during classes in Basic Education.

Chronological approach to the characteristics of Ecuador’s debt with the IMF and the WB.

Where did Ecuador’s foreign debt originate and grow to alarming levels? The purpose of this article is to describe, from an analytical perspective based on the contributions of various authors, the origin of Ecuador’s external debt with international institutions such as the World Bank and the International Monetary Fund, as well as the support that these organizations provide for the development of the countries of the South, case Ecuador. To achieve this purpose, a documentary methodology was implemented that included an exhaustive review of studies focused on the specific variables subject to analysis, the PRISMA tool and Atlas.ti 23 were used. The results show that the creation of these financing agencies in their attempt to support the financial stability of developing countries has not been sufficiently effective in improving the welfare conditions of a good percentage of the population and has generated an imbalance in the sustained development of the poorest countries. It is concluded that the capitalist system gives predominant priority to the economic growth of nations, thus relegating in its model the consideration of human development. This orientation does not contribute effectively to the improvement of crucial aspects such: education, health and the standard of living of the population.

Are the best higher education institutions also more sustainable?

Purpose The purpose of this study is to analyze the integration of sustainable practices in the strategies and operations of world-class higher education institutions (HEIs) under the theoretical guidance of Max Weber's instrumental and value rationalities. Design/methodology/approach The results of the Quacquarelli-Symonds World University Ranking, Times Higher Education World University Rankings, THE Impact Rankings and GreenMetric World University Ranking rankings from 2019 to 2022 were paired, and the correlation between them was verified. Institutions with simultaneous occurrence in the four rankings in at least one of the years were also classified. A quantitative and qualitative methodology was used to explore how elite HEIs integrate sustainable practices into their operations and strategies, under the theoretical guidance of Max Weber's instrumental and value rationalities. Furthermore, multivariate regression models with supervised data mining techniques were applied, using the SMOReg algorithm on 368 instances with multiple attributes, to predict the numerical value of sustainability in the rankings. Coefficients were assigned to variables to determine their relative importance in predicting rankings. Findings The results of this study suggest that although many HEIs demonstrate a commitment to sustainability, this rarely translates into improvements in traditional rankings, indicating a disconnect between sustainable practices and global academic recognition. Research limitations/implications The research has limitations, including the analysis being restricted to data from specific rankings between 2019 and 2022, which may limit generalization to future editions or rankings. The predictive models used selected data and, therefore, cannot cover the full complexity of metrics from other rankings. Furthermore, internal factors of HEIs were not considered, and the correlations identified do not imply direct causality. The limited sample and potential methodological biases, together with the heterogeneity of the rankings, restrict the generalization of the results. These limitations should be considered in future studies. Practical implications The theoretical contributions of this study include an in-depth understanding of the intersection between academic excellence and environmental and social responsibility. From a management perspective, guidance is provided on integrating sustainability into HEI strategies to enhance visibility and classification in global rankings, while maintaining academic integrity and commitment to sustainability. Social implications This highlights the importance of reassessing academic rankings criteria to include sustainability assessments, thereby encouraging institutions to adopt practices that genuinely contribute to global sustainable development. Originality/value The originality lies in the predictive analysis between these rankings, examining the link between the level of sustainability of an HEI and its classification as a World Class University. Furthermore, it combines theories of rationality with the analysis of sustainability integration in elite HEIs, introducing new analytical perspectives that can influence future educational policies and institutional practices.

Risk and protective factors for the severity of long COVID – A network analytic perspective

Background and objectivesIn light of the late stage of COVID-19 pandemic, the occurrence of persistent symptoms after COVID-19 infection has become more frequent. To date, there are no standardized treatments. Underlying mechanisms, risk and protective factors for severe persisting symptoms should be investigated to develop effective interventions. MethodsAn online questionnaire was used to assess gender, presence of prior mental disorder, severity of COVID-19 infection, and social connectedness (SCS-R) to determine their influence on symptom severity of persisting symptoms. The sample used to examine risk and protective factors consisted of 693 participants. ResultsThe analysis revealed no significant gender differences for severity of persisting symptoms. However, prior mental health condition was associated with severity of persisting symptoms. Moreover, there was a positive association between symptom severity during COVID-19 infection and Post COVID 19. Social connectedness was found to be negatively associated with Post COVID 19 symptoms. Social connectedness was shown to be negatively associated with depressive symptoms and disordered self-organization. The symptoms of energy loss and concentration had the highest centrality. ConclusionThe results of the study indicate that severity of post-covid symptoms is associated with higher levels of psychopathological symptoms and a lower level of social connectedness. In conclusion, social connectedness may be an important factor in the development of post-COVID symptoms and should be considered for future interventions. The results from the network analyses provide a first step for a more granular syndrome profile.