New Mexico Highlands University

Using the Culturally Engaging Campus Environments (CECE) Model, this qualitative study examined development of psychosocial attributes (i.e., sense of belonging, science identity , and self-efficacy) among 1st-year life science undergraduate students who participated in integrated and culturally engaging research activities at New Mexico Highlands University, a rural Hispanic Serving Institution (HSI). Research activities were part of a project called SomosSTEM [We are STEM], which included four major components: 1) course-based undergraduate research experiences (CUREs) that are laboratory modules integrated into introductory life science classes; 2) summer Bridge Science Challenge Academy for 1st-year students; 3) full summer internship program; and 4) Community Voices lecture series. We found the integrated nature of SomosSTEM represents an engaging learning environment that positively impacted students' perceptions of their development of psychosocial attributes. This paper's significance is it outlines specific, integrated activities that are also community-based and culturally engaging. We discuss community-based and culturally engaging learning environments as a viable solution to the problem of individualistic and exclusionary learning environments. Stacy Alvares, Monitoring Editor

Non-canonical nucleobase pairs differ from canonical Watson-Crick (WC) pairs in their hydrogen bonding patterns. This study uses density functional theory with empirical dispersion correction to examine the stability and electronic...

This study focuses on the development of environmentally sustainable polypropylene (PP)-based composites with the potential for biodegradability by incorporating cellulose and the oligomeric siloxane ES-40. Targeting industrial applications such as fused deposition modeling (FDM) 3D printing, ES-40 was employed as a precursor for the in situ formation of silica particles via hydrolytic polycondensation (HPC). Two HPC approaches were investigated: a preliminary reaction in a mixture of cellulose, ethanol, and water, and a direct reaction within the molten PP matrix. The composites were thoroughly characterized using rotational rheometry, optical microscopy, differential scanning calorimetry, and dynamic mechanical analysis. Both methods resulted in composites with markedly reduced crystallinity and shrinkage compared to neat PP, with the lowest shrinkage observed in blends prepared directly in the extruder. The inclusion of cellulose not only enhances the environmental profile of these composites but also paves the way for the development of PP materials with improved biodegradability, highlighting the potential of this technique for fabricating more amorphous composites from crystalline or semi-crystalline polymers for enhancing the quality and dimensional stability of FDM-printed materials.

The importance of social interaction on well-being has been investigated in a variety of social psychological domains (e.g., homelessness, addiction, and immigration); however, little research has been conducted on the associations between social motivation, community, and well-being within BDSM/kink practitioners. Previous literature has found that feelings of in-group inclusion and attending events predicted well-being in other sexual minority communities; therefore, the current study examines the association between social motivation, in-group inclusion, attending events, and well-being within the BDSM/kink community. A mediational model was tested, and it was found that social motivation significantly predicted well-being through both in-group inclusion and attending events. Additionally, beyond the serial mediation model, both identification with the kink community and attending events were significant mediators on their own. Participation in a BDSM community constitutes a large part of kink for many individuals, meaning that feelings of in-group inclusion and attending community events are likely vital for increasing and maintaining well-being. Marginalized communities often find solace, comfort, and acceptance through community, highlighting the importance of socialization for health and well-being. The study concludes with a discussion on implications, future directions, and the value of community in BDSM/kink communities.

Supply chain management is considered an innovation that integrates business concerns , including sustainable agricultural matters, into all the links in supply chains. outcomes of companies and, more importantly, the environment. In addition, when pollution. Recently, researchers have renewed their interest in developing new inventory management and optimization methods to achieve sustainability. For our study, we applied bibliometrics to describe the evolution of several agricultural supply chain management models; this procedure, through the analysis of perfor-and researchers in citations, coupling, and bibliographic productivity terms. We conducted our analysis using the R package Bibliometrix tool. We outlined the sample by gathering data from articles indexed in databases, i.e., Scopus and Web of Science, from 2004 to 2022. In addition, in our study, the methodology used was generally described, including a portrayal of the trends of the topic, quantitative analysis, and visualization of collaboration networks and cocitations. As a 485 authors as having contributed to developing this research topic. The results relatively contemporary topic with an extensive scope based on its capacity to assist in achieving sustainability in business.

Departures from monogamy are socially discouraged and met with negative judgments, and being a target of stigmatization has consequences for the way individuals in consensual non-monogamous (CNM) relationships connect to others, including their partner(s). However, social support seems to be an important factor associated with increases in wellbeing and relationship quality. Aligned with this reasoning, results of a cross-sectional study showed that participants in CNM relationships who endorsed more internalized negativity reported less commitment to partner one (P1), less disclosure of their relationship agreement to others, as well as less acceptance and more secrecy toward P1 and partner two (P2). Results further showed that perceiving more social support was associated with more commitment to P1, less disclosure to people from the extended social circle, and more acceptance of the relationship with P1 and P2 among participants with higher internalized negativity. Perceiving more social support was also associated with more disclosure to people from the close social circle, as well as more acceptance and less secrecy toward the relationship with P1 and P2 among participants with lower internalized negativity. These results demonstrate that relationships embedded in social contexts of support can be a protective factor, even for individuals who report higher internalized negativity. Hence, for individuals in CNM relationships, fostering a positive and supportive social network seems to increase positive personal and relationship outcomes.

The crystal structures of two inter­mediates, 4-amino-3,5-di­fluoro­benzo­nitrile, C7H4F2N2 (I), and ethyl 4-amino-3,5-di­fluoro­benzoate, C9H9F2NO2 (II), along with a visible-light-responsive azo­benzene derivative, diethyl 4,4′-(diazene-1,2-di­yl)bis­(3,5-di­fluoro­benzoate), C18H14F4N2O4 (III), obtained by four-step synthetic procedure, were studied using single-crystal X-ray diffraction. The mol­ecules of I and II demonstrate the quinoid character of phenyl rings accompanied by the distortion of bond angles related to the presence of fluorine substituents in the 3 and 5 (ortho) positions. In the crystals of I and II, the mol­ecules are connected by N—H⋯N, N—H⋯F and N—H⋯O hydrogen bonds, C—H⋯F short contacts, and π-stacking inter­actions. In crystal of III, only stacking inter­actions between the mol­ecules are found.

Load forecasting plays a pivotal role in the efficient energy management of smart grid. However, the complex, intermittent, and nonlinear smart grids and the complexity of large dataset handling pose difficulty in accurately forecasting loads. The important issue is considering the cyclic features, which have not yet been adequately addressed through the trigonometric transformations. Furthermore, using long short-term memory (LSTM) or 1D convolution neural network (1D CNN) and existing hybrid models involve stacked CNN-LSTM architectures, employing 1D convolutions as a preprocessing step to downsample sequences and extract high- and low-level spatial features. However, these models often overlook temporal features, emphasizing higher-level features processed by the subsequent recurrent neural network layer. Therefore, this study considers a novel approach to independently process features for spatial and temporal characteristics using a parallel multichannel network comprising 1D CNN and bidirectional-LSTM (Bi-LSTM) models. The proposed model evaluated the National Transmission and Dispatch Company (NTDC) load dataset, with additional assessment on two datasets, American Electric Power and Commonwealth Edison, to ensure its generalizability. Performance evaluation on the NTDC dataset yields results of 3.4% mean absolute percentage error (MAPE), 513.95 mean absolute error (MAE), and 623.78 root mean square error (RMSE) for day-ahead forecasting, and 0.56% MAPE, 94.84 MAE, and 115.67 RMSE for hour-ahead load forecast. The experimental results demonstrate that the proposed model outperforms stacked CNN-LSTM models, particularly in forecasting hour- and day-ahead loads. Moreover, a comparative analysis with previous studies reveals superior performance in reducing the error gap between predicted and actual values.

Leaf litter dominates particulate organic carbon inputs to forest streams. Using data‐informed simulations, we explored how litter type (slow‐ vs. fast‐decomposing species), pulsed autumn litter inputs, groundwater‐mediated temperature regimes, and climate warming affect litter breakdown in a 3rd‐order stream network. We found that the time‐dependent interactions of these variables govern network‐scale litter breakdown phenology, with greater thermal sensitivity of slow‐decomposing litter for both current and future scenarios. Groundwater thermal inputs modified litter breakdown phenology by reducing spring and summer and elevating winter litter breakdown fluxes. Under future warming scenarios, the source depth of contributing groundwater influenced summer detrital resources; shallow groundwater‐fed streams had reduced summer resources compared to deep groundwater‐fed streams. Our results demonstrate that predicting in‐stream carbon cycling requires explicit consideration of the phenology of resource inputs and the seasonal timing of environmental factors, notably stream thermal regimes.

The surging electricity demand in Pakistan has led to frequent blackouts, prompting government initiatives to expand power plant capacities and improve the national grid. The government prioritizes integrating large-scale renewable energy sources, such as wind and solar power, to reduce dependence on conventional power plants. However, the intermittency of renewables leads to forecasting errors, requiring extra power reserves from conventional units, thereby escalating operational costs and CO2 emissions. The country currently utilizes a manual mechanism for power balancing operations, overlooking critical grid constraints of the transmission line loadings. In such conditions, injecting large-scale power from renewables can lead to significant fluctuations in line power flows, risking transmission line loadings and compromising the system’s secure operation. Hence, this paper has developed an automatic generation control (AGC) model for the highly wind-integrated power system to alleviate line congestions in the network and enhance the economic operation of the system. The study utilizes the Pakistan power system as a case study to simulate the proposed model. The developed real-time power dispatch strategy for the AGC system considers the constraints of the transmission line to avoid congestion. It integrates wind energy as operating reserves to enhance the economic operation of the system. When managing line congestion, it identifies overloaded bus lines and adjusts power regulation accordingly while compensating for shortfalls by augmenting transmitted power from regional grid stations. However, it maintains a constant dispatch ratio without line overloads, aligned with generation capacities. Additionally, the strategy integrates reserve power from the wind power plant and traditional generating units to further improve economic operations. Simulations have been conducted using PowerFactory software, employing the eight-bus and five-machine models to replicate the characteristics of the Pakistan power system. The results demonstrate the effectiveness of the proposed AGC design in mitigating transmission line congestion of power systems that are heavily integrated with wind energy sources while simultaneously ensuring the economic operation of generating units.

The title compound, systematic name tris­(μ2-perfluoro-o-phenyl­ene)(μ2-3-phenyl-4H-chromen-4-one)-triangulo-trimercury, [Hg3(C6F4)3(C15H10O2)], crystallizes in the monoclinic P21/n space group with one flavone (FLA) and one cyclic trimeric perfluoro-o-phenyl­enemercury (TPPM) mol­ecule per asymmetric unit. The FLA mol­ecule is located on one face of the TPPM acceptor and is linked in an asymmetric coordination of its carbonyl oxygen atom with two Hg centers of the TPPM macrocycle. The angular-shaped complexes pack in zigzag chains where they stack via two alternating TPPM–TPPM and FLA–FLA stacking patterns. The distance between the mean planes of the neighboring TPPM macrocycles in the stack is 3.445 (2) Å, and that between the benzo-γ-pyrone moieties of FLA is 3.328 (2) Å. The neighboring stacks are inter­digitated through the shortened F⋯F, CH⋯F and CH⋯π contacts, forming a dense crystal structure.

Active management practices to reduce or promote particular vegetation, known as vegetation treatments, are a common part of environmental management and they are conducted for a variety of purposes including wildfire risk mitigation, invasive species management, and ecological restoration. Vegetation treatment for wildfire mitigation in particular have increased dramatically in the Western United States in the past several decades. While vegetation treatments are common, data regarding the timing, location, and type of treatments conducted are often only maintained by the organization that conducted the work, hampering the ability of managers and researchers to understand the distribution and timing of vegetation treatments across a landscape. This dataset is a collection of spatially referenced records of vegetation treatments such as mechanical thinning, prescribed burning, and herbicide applications that were conducted in the state of New Mexico, USA and adjacent parts of Colorado, Oklahoma, and Texas. Spatial data were collected through requests to the regional or state offices for the relevant agencies (e.g., The Bureau of Land Management, the U.S. Forest Service, New Mexico State Forestry Division). The accuracy of this data collection approach was assessed by conducting more intensive data collection in five randomly selected focal watersheds across New Mexico. In these watersheds local offices of the larger agencies were contacted, as well as any smaller groups (e.g., soil and water conservation districts, municipalities, and environmental non-profits), and in person visits were made to gather any information on vegetation treatments possible. The overall dataset includes records of treatments spanning a century and includes records of 9.9 million acres of treatments conducted by more than a dozen different organizations. In the five focal watershed that we surveyed the database contained 7.4 % fewer acres of treated land than the more intensive interview approach. This spatially extensive dataset on vegetation treatments will be useful for researchers quantifying or modelling the effect of vegetation management on fire risk and behaviour. Additionally, this data will be useful to ecologists studying the distribution, movement, and habitat associations of a variety of plant an animal species. Finally, this data will be useful for research on landscape conservation and management.

Aspen forests are threatened by the impacts of a changing climate and are showing large-scale mortality with meager natural regeneration to restore these loses. Therefore, there is an increasing demand for high-quality aspen seedlings to assist with forest restoration efforts. Nursery cultural practices can be used to alter aspen seedling traits to improve adaptability to dry planting conditions. In this study, the effects of container size (SC10 and D30; 158 and 490 mL, respectively) and nursery irrigation treatment (high and low irrigation; 90% and 70% container capacity, respectively) on seedling growth and a suite of morphological and physiological traits were investigated. The combination of large container size and low irrigation treatment resulted in seedlings with lowest height-to-diameter ratio and specific leaf area, which are desired traits for seedling performance on dry sites. Additionally, seedlings exposed to low irrigation conditions at the nursery stage had a lower (more negative) osmotic potential at full turgor, suggesting a higher likelihood of drought tolerance. Overall results from this study provide insight into utilizing nursery cultural practices to produce seedlings with target characteristics that may ultimately lead to establishment on harsh, dry planting sites in large-scale reforestation projects.

With 100% fatality and no cure, chronic wasting disease (CWD) has infected cervids in multiple regions, including the United States, Canada, Europe, and South Korea. Despite the rapid growth of literature on CWD, the full scope of its ecological, social, and economic impacts and the most effective and socially acceptable management strategies to mitigate the disease are unclear. Of 3,008 initially identified published peer-reviewed papers, 134 were included in a final systematic literature review to better understand CWD transmission patterns, impacts, and the effectiveness of management interventions. The number of publications on CWD has increased steadily since 2000 with an average of six papers per year. Most papers were related to CWD prevalence (39%), human behavior (33%), CWD impacts (31%), and management interventions (16%). Environmental factors such as soil, water, and plants were identified as the most common transmission sources, with a higher prevalence rate among adult male cervids than females. Hunters showed a higher risk perception and were more likely to change hunting behavior due to CWD detection than non-hunters. Ecological impacts included the decreased survival rate accompanied by lower population growth, eventually leading to the decline of cervid populations. Culling was found to be an effective and widely implemented management strategy across countries, although it often was associated with public resistance. Despite potentially high negative economic impacts anticipated due to CWD, studies on this subject were limited. Sustained surveillance, ongoing research, and engagement of affected stakeholders will be essential for future disease control and management.

This is a study intended to address white supremacy in science education. To accomplish this, we describe how one White intern, Boaz, learned to teach science in anti‐racist ways. By detailing how whiteness mattered in his learning to teach, we demonstrate that whiteness is potentially constant in White peoples' learning to teach science in anti‐racist ways. However, we conclude by suggesting that critical whiteness ambitious science teacher education, a merging of critical whiteness pedagogy with practice‐based science teacher education provides a potential way to address the presence of whiteness in science teacher education.

To increase the number of potential materials for application as MRI contrast agents, several Cu(II) complexes were synthesized. Cu(II) complexes were chosen because they are less expensive in comparison with the presently used Gd(III), Mn(II) and other agents. Pyridine-2-carboximidamide (1), pyrimidine-2-carboximidamide (2) and pyrazole-2-carboximidamide (3) in the form of different salts along with CuCl2 and NaCl or CuBr2 and NaBr were used to obtain four Cu(II) complexes: dichloro-pyrimidine-2-carboximidamide copper(II) (4), dibromo-pyrimidine-2-carboximidamide copper(II) (5), dichloro-pirazole-2-carboximidamide copper(II) (6), and dibromo-pirazole-2-carboximidamide copper(II) (7). X-ray diffraction analysis revealed that molecular complexes 4–7 contain square planar coordinated Cu(II) atoms and their structures are very similar, as well as their packing in crystals, which allows us to consider them isomorphs. The same synthetic approach to complex preparation where NaCl or NaBr was not used brought us to the formation of dimeric complexes μ-chloro{chloro(pyridine-2-carboximidamide)copper(II)} (8) and μ-chloro{chloro(pyrimidine-2-carboximidamide)copper(II)} (9). In the dimeric complexes, two fragments which were the same as in monomeric complexes 4–7 are held together by bridging Cu-Cl bonds making the coordination of Cu equal to 5 (square pyramid). In dimeric complexes, axial Cu-Cl bonds are 2.7360 and 2.854 Å. These values are Cu-Cl bonds on the edge of existence according to statistical data from CSD. Synthesized complexes were characterized by IR spectroscopy, TGA, PXRD, EPR, and quantum chemical calculations. The higher thermal stability of monomer pyrimidine-based complexes with Cl and Br substituents makes them more prospective for further studies.