Diverse Areas Research Articles

Contributions of Urban Woodlands to Bird Diversity and Abundance in The Anatolian Side of Istanbul

Aim of study: The study aimed to assess the impact of urban woodlands on bird species diversity and abundance in the Anatolian side of Istanbul, focusing on species typically absent from urban centers but found within urban environments. The findings are intended to contribute to the development of future conservation and habitat management strategies. Area of study: The study was conducted in five areas in Üsküdar and Beykoz, including an urban center, three urban woodlands (Fethipaşa, Hidiv, and Beykoz Abrahampaşa) and a natural area in Istanbul's northern region. Material and methods: Data on bird species and their abundances were collected and tabulated through 900 point counts from April 2022 to March 2023. The data was analyzed using abundance values, species richness and diversity, identifying distribution and evenness through rank abundance distribution and curves. Similarity analysis was performed using the clustering method and species composition was compared using a Venn diagram. Main results: Seventy-two bird species were identified across the study areas. A decrease in urbanization density enhances bird species richness, diversity and evenness, with the natural area recording the highest values. Urban woodlands harbor species absent from more urbanized locations. Distinctions in species distribution and bird diversity between the areas were revealed. Research highlights: Urban woodlands are crucial areas for wildlife in metropolises, providing significance from both ecological and sociocultural perspectives. Although they may not match natural areas in species diversity, these woodlands significantly contribute to bird diversity within the urban environments. Further research is needed to explore the unique characteristics of each woodland and their contributions to urban ecosystems.

Preliminary effects of a rural skin cancer prevention intervention for youths.

To pilot and assess the feasibility, acceptability, and preliminary effects of the Rural Adult and Youth Sun (RAYS) protection program, a multilevel skin cancer preventive intervention for young children living in rural U.S. communities, delivered through community-organized team sports. Three rural counties in Utah participated with two receiving the intervention and the third serving as a control. Youth sports leagues were recruited through recreation departments and the study took place from May through October 2021. Intervention leagues received sun protection supplies for players and coaches, educational materials for parents, and coaches were offered training on skin cancer and sun protection behaviors. The RAYS program is both feasible to deliver and acceptable to coaches, parents, and players. The intervention also demonstrates beneficial preliminary effects on components of observed child sun-protective behaviors, coach sun protection behaviors, knowledge of skin cancer prevention recommendations, and self-efficacy in skin cancer prevention. Multilevel interventions for skin cancer prevention among young children can be successfully delivered through community organizations and their settings. A priority moving forward is the identification of ways to optimize delivery of such programs to positively influence skin cancer preventive behaviors among children living in diverse rural areas. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Enhancing Dairy Production through Virtual Reality: A Comparative Study of Milk Quality and Quantity in Open and Closed Environments

Abstract: In dairy production, understanding the factors influencing the milk production is crucial for enhancing productivity and ensuring quality. The research revolves around the concept of usage of Virtual Reality (VR) Technology for stimulating milk extraction by contrasting the result of Open and Close cow farming in India. A comparative analysis was conducted on milk quality and quantity between Open and Close cows, with a focus on the impact of pre and post production VR exposure on Close cow farms. This study comprises a summation of (no of cows) samples gathered from diverse geographical areas engulfing both (Open and Closed) settings. The study exhibits the effectiveness of VR bridging the gap between Close and Open environments. Findings suggest that VR has the potential to harmonize the milk production environment and enhance overall production.The dairy milk production is based on changing environment and geographical area

Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing.

In recent years, there has been widespread adoption of machine learning (ML) technologies to unravel intricate relationships among diverse parameters in various additive manufacturing (AM) techniques. These ML models excel at recognizing complex patterns from extensive, well-curated datasets, thereby unveiling latent knowledge crucial for informed decision-making during the AM process. The collaborative synergy between ML and AM holds the potential to revolutionize the design and production of AM-printed parts. This review delves into the challenges and opportunities emerging at the intersection of these two dynamic fields. It provides a comprehensive analysis of the publication landscape for ML-related research in the field of AM, explores common ML applications in AM research (such as quality control, process optimization, design optimization, microstructure analysis, and material formulation), and concludes by presenting an outlook that underscores the utilization of advanced ML models, the development of emerging sensors, and ML applications in emerging AM-related fields. Notably, ML has garnered increased attention in AM due to its superior performance across various AM-related applications. It is envisioned that the integration of ML into AM processes will significantly enhance 3D printing capabilities across diverse AM-related research areas.

Harnessing Nanotechnology for Advancements in Magnetism: Current Trends and Future Prospects

Nanotechnology has revolutionized various fields, including magnetism, by enabling the manipulation of materials at the nanoscale. This paper explores the current trends and future prospects of harnessing nanotechnology for advancements in magnetism. We discuss the fundamental principles of magnetism at the nanoscale and review recent developments in nanomagnetic materials, fabrication techniques, and applications. Additionally, we highlight the potential impact of nanotechnology on diverse areas such as data storage, biomedical devices, magnetic sensors, and spintronics. Furthermore, challenges and opportunities in the field are addressed, offering insights into the direction of future research and technological innovations.

Progressive Multiple Alignment of Graphs

The comparison of multiple (labeled) graphs with unrelated vertex sets is an important task in diverse areas of applications. Conceptually, it is often closely related to multiple sequence alignments since one aims to determine a correspondence, or more precisely, a multipartite matching between the vertex sets. There, the goal is to match vertices that are similar in terms of labels and local neighborhoods. Alignments of sequences and ordered forests, however, have a second aspect that does not seem to be considered for graph comparison, namely the idea that an alignment is a superobject from which the constituent input objects can be recovered faithfully as well-defined projections. Progressive alignment algorithms are based on the idea of computing multiple alignments as a pairwise alignment of the alignments of two disjoint subsets of the input objects. Our formal framework guarantees that alignments have compositional properties that make alignments of alignments well-defined. The various similarity-based graph matching constructions do not share this property and solve substantially different optimization problems. We demonstrate that optimal multiple graph alignments can be approximated well by means of progressive alignment schemes. The solution of the pairwise alignment problem is reduced formally to computing maximal common induced subgraphs. Similar to the ambiguities arising from consecutive indels, pairwise alignments of graph alignments require the consideration of ambiguous edges that may appear between alignment columns with complementary gap patterns. We report a simple reference implementation in Python/NetworkX intended to serve as starting point for further developments. The computational feasibility of our approach is demonstrated on test sets of small graphs that mimimc in particular applications to molecular graphs.

The Culturally Infused Curricular Framework (CICF) for Suicide Prevention Trainings.

Although suicide prevention trainings (SPT) have been a standard approach for suicide prevention for years, researchers have noted a need for more clarity in the definition of core competencies for SPTs, particularly in the areas of diversity and culture. Recent research has identified key theoretically- and empirically-based cultural considerations for suicide prevention, but translation is needed to infuse these standards for culture-related competencies into SPTs. This study performed a systematic literature review with a thematic synthesis analytic approach to establish a set of curricular guidelines for infusion of cultural considerations into SPTs. The study also examined the extent to which existing community trainings already incorporate cultural components. Based on the thematic synthesis of 39 SPT studies from 2010 to 2020 and seminal reviews of the cultural and suicide literature, results identified three overarching categories of cultural curricular competencies (suicide knowledge and awareness, suicide intervention skills, and curriculum delivery) and 14 core cultural curricular subthemes for community trainings (e.g., culturally informed risk factors and warning signs, systemic inequities, etc.). These three categories with 14 core cultural curricular competencies comprise the Culturally Infused Curricular Framework (CICF) for Suicide Prevention Trainings. The majority of trainings (62%) included five or less out of 14 total possible core cultural competencies in their training curricula, pointing to insufficient integration of cultural components in existing community trainings. This study's research-based guideline establishes a culture-inclusive framework to strengthen content and approach of community trainings and suicide prevention across cultural groups.

Frequency-Dependent Contrast Enhancement for Conductive and Non-Conductive Materials in Electrical Impedance Tomography

This research investigates the critical role of frequency selection in Electrical Impedance Tomography (EIT), a non-invasive imaging technique that reconstructs internal conductivity distributions through injected electrical currents. Empirical frequency selection is paramount to maximizing the fidelity and specificity of EIT images. The study explores the impact of distinct frequency ranges—low, medium, and high—on image contrast and clarity, particularly focusing on differentiating conductive materials from non-conductive materials. The findings reveal distinct empirical frequency bands for enhancing the respective contrasts: 15–38 kHz for conductive materials (copper) and 45–75 kHz for non-conductive materials (acrylic resin). These insights shed light on the frequency-dependent nature of material contrast in EIT images, guiding the selection of empirical operating ranges for various target materials. This research paves the way for improved sensitivity and broader applicability of EIT in diverse areas.

Magnon Bose–Einstein condensates: From time crystals and quantum chromodynamics to vortex sensing and cosmology

Under suitable experimental conditions, collective spin-wave excitations, magnons, form a Bose–Einstein condensate (BEC), where the spins precess with a globally coherent phase. Bose–Einstein condensation of magnons has been reported in a few systems, including superfluid phases of 3He, solid state systems, such as yttrium-iron-garnet films, and cold atomic gases. The superfluid phases of 3He provide a nearly ideal test bench for coherent magnon physics owing to experimentally proven spin superfluidity, the long lifetime of the magnon condensate, and the versatility of the accessible phenomena. We first briefly recap the properties of the different magnon BEC systems, with focus on superfluid 3He. The main body of this review summarizes recent advances in the application of magnon BEC as a laboratory to study basic physical phenomena connecting to diverse areas from particle physics and cosmology to vortex dynamics and new phases of condensed matter. This line of research complements the ongoing efforts to utilize magnon BECs as probes and components for potentially room-temperature quantum devices. In conclusion, we provide a roadmap for future directions in the field of applications of magnon BEC to fundamental research.

Spatial spillover effects associated with the Sweden Democrats' growing support

AbstractResearch on the growing support of radical right parties cannot ignore the role of spatial, contextual effects and geographical proximity. One important spatial factor is the halo effect, which suggests that a radical right party is more likely to perform well in a homogeneous electoral district surrounded by ethnically diverse areas. Voter behaviour is influenced by certain neighbourhood effects, which can be spatially distant, originating from neighbouring areas. In this way, the presence of groups more inclined to support the radical right in an area can, through interaction and observations of signs or norms, modify an individual's party preference. In this paper, I model the 2018 election results of the Sweden Democrats at the level of the 6004 Swedish electoral districts using the Spatial Durbin Model specification. The spatial model shows a better fit and indicates a spillover effect of the level of education and median wealth in addition to the contextual role of ethnic diversity and its change. Changes in the proportion of non‐Europeans in neighbouring areas have had a particularly strong spillover effect, which is associated with the growing support for the Sweden Democrats.

A framework for functional zoning of national parks based on biocultural diversity assessment

Reasonable zoning is essential for maintaining the integrity and stability of natural ecosystems and achieving multi-goal management of national parks, and can facilitate efficient management and protection of various resources. Biocultural diversity is an important result and outstanding representation of human-land relationships, directly affecting the resilience of socio-ecological systems. Taking Kunlun Mountains National Park in Qinghai Province (KMNP) as an example, we transformed the dualistic conservation model of biology and culture, and the Coupling Coordination Degree Model (CCDM) was used to establish a technical framework for the functional zoning of national parks based on the collaborative protection of biological diversity and cultural diversity. The research results indicated that biocultural diversity and its coupling relationship of KMNP are relatively good, with high coupling areas mainly dominated by cultural diversity and low coupling areas mainly by biological diversity. The research suggests that KMNP should be divided into 4 functional zones: strict protection area, ecological conservation area, traditional utilization area, and comprehensive development area. These findings provide references for the planning and construction of national parks and reserves around the world, to unleash their transformative potential in addressing global biodiversity loss.

Be the Change You Want to See: Problem-Based Learning to Promote Diversity, Justice, Equity, Inclusion, Belonging, and Sustainability in the Classroom and Workplace

This study presents a problem-based learning (i.e., PBL) assignment to engage students around the areas of diversity, justice, equity, inclusion, belonging (i.e., DEI), and sustainability in the classroom and workplace. The assignment is developed based on the learning objectives of an upper division business course following an outlined three-step process. A pretest-posttest research design with a control group demonstrates that the experiential assignment is effective in enhancing students’ problem-solving skills which, according to employers, recent college graduates need to improve upon. The PBL approach also increases students’ interest in DEI and sustainability so that they want to make a difference in society. While students’ confidence in their preparedness to become a manager decreases over the course of a semester, this loss in confidence is mitigated by students’ active participation in the PBL assignment.

Food webs: Where is the uniqueness?

Conservation planning relies on mapping areas of unique biological diversity and high vulnerability. A new study has found that unique trophic networks are threatened by warming climate in the Arctic and high human footprint in southern Europe.

An Update on Protection of 5'-Hydroxyl Functions of Nucleosides and Oligonucleotides.

The synthesis of natural and chemically modified nucleosides and oligonucleotides is in great demand due to its increasing number of applications in diverse areas of research. These include tools for diagnostics and proteomics, research reagents for molecular biology, probes for functional genomics, and the design, discovery, development, and manufacture of new therapeutics. The likelihood of success in synthesizing these molecules is often dependent on the correct choice of a protection strategy to block the 5'-hydroxyl group of a carbohydrate moiety, nucleoside, or oligonucleotide. This topic was reviewed extensively in the year 2000. The purpose of this article is to complement and update the original review with recently published methodologies recommended for the protection and deprotection of the 5'-hydroxyl group. © 2024 Wiley Periodicals LLC.

Addressing Local Water Security through Green Infrastructure Implementation: A Review of Urban Plans in Monterrey, Mexico, and Brussels, Belgium

Green infrastructure (GI) is increasingly linked to urban water management and can contribute to achieving water security in communities. This research uses a variation-finding comparative approach to recognize how far GI solutions are currently used to address water security in the urban developments of Monterrey City, Mexico, and Brussels-Capital Region, Belgium. A comparative content analysis of seven related urban development/sectoral plans is conducted using ATLAS.ti 9 software. The results depict the overall distribution of GI implementations, their typologies and spatial scales, water-security aspects that are addressed by GI, and the related definitions in the plans. In general, our analysis does not present a promising situation for the Monterrey case, although it reveals that policymakers have started to use GI in urban plans to address water security. Considering Brussels’ conditions, although GI solutions are much more frequent and advanced than in Monterrey plans, the region cannot be considered a frontrunner of GI policies. Comparing these two remarkably diverse areas is beneficial to illuminate universal aspects of planning, as the method provides an opportunity to gain insight from a multi-city perspective, whether developed or developing, showing the potential areas to advance urban policies.

About PanAfrican Journal of Governance and Development

PanAfrican Journal of Governance and Development (PJGD) is a peer-reviewed interdisciplinary journal of Jimma University that publishes editorials, research articles, book reviews, commentaries, and notes. PJGD offers a platform for the expression of new scientific inquiries to intellectuals of the world in general and Africa & Ethiopia in particular to reflect on how governance and development can be promoted, strengthened, and consolidated. The biannual edition is published in February and August of each year only in English language. PJGD is APC Free Journal.
 PJGD accepts scientific works focused on the diversified areas of Governance and Development drawn from multiple disciplines of Political Science and International Relations, Public Management, Leadership, Development Economics, Environmental Governance, Peace and Conflict, Human Rights, National and International Law, Globalization, Public Policy, Regional and International Organizations, Gender, Peace and Conflict Management, International Political Economy, Multiculturalism, Civil Society, and related areas.

Qualitative analysis of metformin drug administration in Caputo setting

This study develops a mathematical link between pharmacokinetics and fractional calculus, emphasizing on metformin’s complex metabolic activities in diverse body areas. Our study proposes and evaluates a metformin kinetics model that incorporates homogenous dimensionality in the Caputo sense. To explore the uniqueness and existence of solutions, we adopt the Banach and Schauder fixed point theorems. The study includes equilibrium points, asymptotic stability in respect to certain parameters, and Lyapunov stable solutions. In addition, we investigate Ulam-type stability for the generalized model. The research finishes with a thorough theoretical analysis based on the generalized Adam–Bashforth–Moulton (A-B-M) technique, laying the groundwork for future empirical validation.

Hiatus resolution and linguistic diversity in Australian English.

Vowel hiatus is typically resolved in Australian English through complementary strategies of liaison (j-gliding/w-gliding/linking-r) and glottalisation. Previous work suggests a change in progress towards increased use of glottalisation as an optimal hiatus-breaker, which creates syntagmatic contrast between adjacent vowels, particularly when the right-edge vowel is strong (i.e.at the foot boundary). Liaison continues to be used when right-edge vowels are weak, but glottalisation as a hiatus resolution strategy in general appears to be increasing and may be more common in speakers from non-English speaking backgrounds raising the question of whether exposure to linguistic diversity could be driving the change. We examine hiatus resolution in speakers from neighbourhoods that vary according to levels of language diversity. We elicited gliding and linking-r hiatus contexts to determine how prosodic strength of flanking vowels and speakers' exposure to linguistic diversity affect hiatus resolution. Results confirm that glottalisation occurs most frequently with strong right-edge vowels, and gliding/linking-r are more likely with weak right-edge vowels. However, strategies differ between gliding and linking-r contexts, suggesting differing implementation mechanisms. In addition, speakers from ethnolinguistically diverse areas produce increased glottalisation in all contexts supporting the idea that change to the hiatus resolution system may be driven by language contact.

High Q-Factor, High Contrast, and Multi-Band Optical Sensor Based on Plasmonic Square Bracket Dimer Metasurface.

A high-performance resonant metasurface is rather promising for diverse application areas such as optical sensing and filtering. Herein, a metal-insulator-metal (MIM) optical sensor with merits of a high quality-factor (Q-factor), multiple operating bands, and high spectrum contrast is proposed using plasmonic square bracket dimer metasurface. Due to the complex square bracket itself, a dimer structure of two oppositely placed square brackets, and metasurface array configuration, multiple kinds of mode coupling can be devised in the inner and outer elements within the metasurface, enabling four sensing channels with the sensitivities higher than 200 nm/RIU for refractive index sensing. Among them, the special sensing channel based on the reflection-type surface lattice resonance (SLR) mechanism has a full width at half maximum (FWHM) of only 2 nm, a high peak-to-dip signal contrast of 0.82, a high Q-factor of 548, and it can also behave as a good sensing channel for the thickness measurement of the deposition layer. The multi-band sensor can work normally in a large refractive index or thickness range, and the number of resonant channels can be further increased by simply breaking the structural symmetry or changing the polarization angle of incident light. Equipped with unique advantages, the suggested plasmonic metasurface has great potential in sensing, monitoring, filtering, and other applications.

Uncovering drone intentions using control physics informed machine learning

Unmanned Autonomous Vehicle (UAV) or drones are increasingly used across diverse application areas. Uncooperative drones do not announce their identity/flight plans and can pose a potential risk to critical infrastructures. Understanding drone’s intention is important to assigning risk and executing countermeasures. Intentions are often intangible and unobservable, and a variety of tangible intention classes are often inferred as a proxy. However, inference of drone intention classes using observational data alone is inherently unreliable due to observational and learning bias. Here, we developed a control-physics informed machine learning (CPhy-ML) that can robustly infer across intention classes. The CPhy-ML couples the representation power of deep learning with the conservation laws of aerospace models to reduce bias and instability. The CPhy-ML achieves a 48.28% performance improvement over traditional trajectory prediction methods. The reward inference results outperforms conventional inverse reinforcement learning approaches, decreasing the root mean squared spectral norm error from 3.3747 to 0.3229.