Broad Generalizations Research Articles

Winter is (not) coming: Acoustic monitoring and temperature variation across important bat hibernacula.

Little is known about the winter bat activity in Bulgaria, which poses challenges in monitoring potential deviations in their behaviour as a consequence of the warming climate. Using passive acoustic monitoring, we investigated the winter activity in some of Europe's largest hibernacula. Our findings reveal cave and species-specific activity patterns. Activity was observed throughout each month of the survey, with distinct peaks on specific days. At one high-elevation site, bat activity was restricted to a single night, while the highest overall activity occurred at the highest elevation site (1325 m). The most active species was Myotiscapaccinii (Bonaparte, 1837). While bats were mostly active right after sunset following their usual circadian rhythm, some daytime activity was also observed, including emergence at temperatures as low as -8°C. At sites with sufficient activity data, external temperature emerged as a significant positive predictor of bat activity, with higher temperatures associated with increased activity. Our data also suggest that bats rarely forage near the roost entrances. The observed variability in activity levels between study sites highlights the need for high-resolution, site-specific data rather than broad generalisations.

Free energy equivalence between mean-field models and nonsparsely diluted mean-field models

Abstract We studied nonsparsely diluted mean-field models that differ from sparsely diluted mean-field models, such as the Viana--Bray model.
When the existence probability of each edge follows a Bernoulli distribution, we rigorously prove that the free energy of nonsparsely diluted mean-field models with appropriate parameterization coincides exactly with that of the corresponding mean-field models in ferromagnetic and spin-glass models composed of any discrete spin $S$ in the thermodynamic limit.
Our results is a broad generalization of the result of a previous study [Bovier and Gayrard, J. Stat. Phys. 72, 643 (1993)], where the densely diluted mean-field ferromagnetic Ising model (diluted Curie--Weiss model) with appropriate parameterization was analyzed rigorously, and it was proven that its free energy was exactly equivalent to that of the corresponding mean-field model (Curie--Weiss model).

General access to furan-substituted gem-difluoroalkenes enabled by PFTB-promoted cross-coupling of ene-yne-ketones and difluorocarbene.

Replacement of a carbonyl group with fluorinated bioisostere (e.g., CF2[double bond, length as m-dash]C) has been adopted as a key tactical strategy in drug design and development, which typically improves potency and modulates lipophilicity while maintaining biological activity. Consequently, new gem-difluoroalkenation reactions have undoubtedly accelerated this shift, and conceptually innovative practices would be of great benefit to medicinal chemists. Here we describe an expeditous protocol for the direct assembly of furan-substituted gem-difluoroalkenes via PFTB-promoted cross-coupling of ene-yne-ketones and difluorocarbene. In this multi-step tandem reaction process, the furan ring and the gem-difluorovinyl group are constructed simultaneously in an efficient manner. These products can serve as bioisosteres of the α-carbonyl furan core, which is an important scaffold present in natural products and drug candidates. The broad generality and practicality of this method for late-stage modification of bioactive molecules, gram-scale synthesis and versatile derivatisation of products has been described. Biological activity evaluation showed that the gem-difluoroalkene skeleton exhibited dramatic antitumor activity.

Learning and Transfer: A Perspective From Action Video Game Play

A growing body of research documents the positive impact that action video game play has on a range of cognitive skills. Such a result, in which training on one task promotes a broad variety of benefits, is a rarity in the cognitive training domain. Instead, the more typical result is that training on one task promotes benefits on that task alone with only limited transfer to untrained tasks. We have proposed that action video game play promotes broad generalization by first enhancing attentional control abilities. This in turn allows for more information to be accrued as one experiences a new task and thus faster learning of that new task. Possible theoretical and practical considerations of such a view are discussed.

Synthesis of π-Extended Imidazo[1,2-a]quinolines via Carboxylic Acid-Assisted Ru(II)-Catalyzed Dual C-H Activation and Alkyne Annulation.

Ru(II)-catalyzed, carboxylic acid-assisted oxidative annulation of N-aryl azoles with alkynes via double C-H activation to produce highly functionalized π-extended imidazo[1,2-a]quinolines is reported. The reaction features a broad substrate generality and tolerates various biologically relevant scaffolds. Interestingly, annulated products showed strong fluorescence properties and an AgIE effect and exhibited a selective fluorescent response toward the Cu2+ ion. Further photocatalytic properties of the product are demonstrated in the photochemical coupling of azoles and arenes.

The Farmers' Mutual Cooperation Community's Values in Agriculture

The values of farmers' mutual cooperation in agriculture were examined in Javanese society, where challenges related to differences in provider quality hindered the assessment of the indigenous economic landscape. Economic indices from various sectors dating back to 1880 were interpreted. The Quantitative Descriptive method was employed to describe and analyze findings without broad generalizations. Participant statements and their responses were examined to identify discrepancies between research findings and existing theories. Qualitative research methods, including interviews and observational techniques, were used to collect data through oral or written communication, enhancing the compilation of observation reports on contextual learning progress. Data analysis was guided by the Miles and Huberman methodology, which directed the process from data collection to presentation and conclusion. Findings indicated a rapid increase in skilled workers after 1830, particularly among carpenters. The number of carpenters surged due to the arrival of newly trained experts, supporting the transportation of goods from rural areas to major cities and ports. Jepara and Rembang emerged as key centers for ship equipment and furniture production, with Rembang employing approximately 700 carpenters by 1840.

Gas Adsorption in Flexible COF-506 and COF-506-Cu.

Flexible covalent-organic frameworks (COFs) display a variety of guest-dependent dynamic behaviors, but because these are an emerging class of materials, very little experimental adsorption data exists. This work examines the adsorption properties of COF-506 and COF-506-Cu utilizing various adsorbates as probe molecules. These materials have small surface areas (<100 m2/g) but still have significant capacity for methanol and isopropanol compared to activated carbon, even though the COF contains approximately 1/10th the surface area of many activated carbons. Isotherms for ethane/ethylene collected up to 1 bar show moderate selectivity for ethylene, but interestingly, this selectivity is reversed when the isotherms are measured up to 5 bar. The change in selectivity occurs because the ethane isotherm has a distinct stepwise increase in capacity near 4 bar. The adsorption data indicate broad generalizations and analogies of COFs to activated carbon should be avoided; that the adsorption capacity COFs may not correlate to surface area; and that high-pressure adsorption isotherms may have steps in the adsorption isotherm where capacity increases significantly.

Neural networks for abstraction and reasoning

For half a century, artificial intelligence research has attempted to reproduce the human qualities of abstraction and reasoning - creating computer systems that can learn new concepts from a minimal set of examples, in settings where humans find this easy. While specific neural networks are able to solve an impressive range of problems, broad generalisation to situations outside their training data has proved elusive. In this work, we look at several novel approaches for solving the ion & Reasoning Corpus (ARC). This is a dataset of abstract visual reasoning tasks introduced to test algorithms on broad generalization. Despite three international competitions with $100,000 in prizes, the best algorithms still fail to solve a majority of ARC tasks. The best solvers today rely on complex hand-crafted rules, without using machine learning at all. We revisit whether recent advances in neural networks allow progress on this task, or whether an entirely different class of models are required. First, we adapt the DreamCoder neurosymbolic reasoning solver to ARC. DreamCoder automatically writes programs in a bespoke domain-specific language to perform reasoning, using a neural network to mimic human intuition. We present the Perceptual ion and Reasoning Language (PeARL) language, which allows DreamCoder to solve ARC tasks, and propose a new recognition model that allows us to significantly improve on the previous best implementation. We also propose a new encoding and augmentation scheme that allows large language models (LLMs) to solve ARC tasks, and find that the largest models can solve some ARC tasks. LLMs are able to solve a different group of problems to state-of-the-art solvers, and provide an interesting way to complement other approaches. We perform an ensemble analysis, combining systems to achieve better results than any system alone and analysing individual strengths. However, it is sobering to see that approaches based on neural networks still lag behind existing hand-crafted solvers, and we suggest avenues for future improvements. Our findings with the ensemble model may indicate that a diversity of methods might be necessary to solve problems in ARC. Humans likely employ diverse strategies to solve ARC. Studies involving human participants to identify the strategies they employ to solve ARC could provide valuable insights for future AI approaches. Finally, we publish the arckit Python library to make future research on ARC easier.

Efficient paddle-wheel copper cluster-based metal-organic framework for catalytic conversion of CO2 to oxazolidinones under mild conditions

Efficient utilization of CO2 and its conversion into high-value-added products contribute to mitigating environmental issues such as the greenhouse effect. Among these methods, the carboxylation cyclization of CO2 with propargylic amine represents a green and atom-economical approach. Developing cost-effective catalyst that can promote this reaction under mild condition is desirable but challenging. Herein, a unique two-dimensional (2D) metal–organic framework (MOF) {[Cu(QCA)2]∙0.5DMF∙0.5H2O}n (1) (QCA =6-quinolinecarboxylic acid, DMF = N,N-dimethylformamide) have been synthesized and thoroughly characterized. Compound 1 was constructed from paddle-wheel dinuclear copper clusters [Cu2(COO)4] and carboxylate ligands, presenting a two-dimensional framework with new topology. Stability tests indicate that compound 1 undergoes reversible structural changes in different solvents and exhibits good thermal stability. 1 as heterogeneous catalyst enabled the transformation of CO2 and propargylic amine into oxazolidinones under mild conditions with broad substrate generality. In addition, 1 could maintain its catalytic performance with five continuous reactions. This work presents an infrequent example of a 2D noble metal free MOF-based catalyst that shows high catalytic efficiency under mild conditions.

“The Voice of Choice”: Transpacific Educational Exchanges in the Neoliberal Era

AbstractThis essay queries how ideas about school choice traversed the Pacific in the late twentieth century. Specifically, it reconstructs and deconstructs the visits of two African American proponents of parental school choice, Annette “Polly” Williams and Howard Fuller, from Milwaukee, Wisconsin, to Aotearoa New Zealand in the 1990s. Drawing from oral histories, newspapers, and archives in the United States and Aotearoa New Zealand, this essay explores Fuller’s and Williams’s travels and the responses they generated to better understand how and why choice-based educational policies, including school vouchers, gained traction, or failed to do so, at the close of the twentieth century. A close-up analysis of one small strand of the transnational voucher movement reveals that educational ideas and policies did not drift naturally from one place to another. To the contrary, they were cultivated; and that cultivation, particularly when done across vastly different contexts, represented both a political act and an expression of power. This essay also prompts historians to understand the global ascendancy of school choice at the end of the twentieth century by looking to other transnational frameworks and ideologies in addition to neoliberalism: decolonization, Indigenous activism, Pan-Africanism, and the “Black Pacific,” among others. Finally, this essay hopes to encourage more historians of education, including Americanists, to peer beyond national boundaries when investigating the cultivation, development, and dissemination of educational ideas and practices. A close analysis of the transpacific travels of Fuller and Williams can serve as a tangible model for how historians might utilize microhistory to reap the benefits of transnational inquiry while avoiding its analytical hazards: broad generalizations, oversimplifications, and cultural misinterpretations.

Mechanochemical cyclization of push-pull enamines with propargyl alcohols

We developed an efficient mechanochemical method for the synthesis of 1,2-dihydropyridine derivatives from push-pull enamines and tert-propargyl alcohols under ball milling with p-TsOH/HFIP. The reaction proceeds smoothly under metal-free conditions with fast, efficient, and high-yielding synthesis of 1,2-dihydropyridines. The reaction shows excellent atom economy, with a broad substrate generality.

STEM career expectations across four diverse countries: motivation to learn mathematics mediates the effects of gender and math classroom environments

BackgroundWe tested the broad generality of a model for predicting 9th–10th grade students’ STEM career expectations by age 30, focusing on hard science, mathematics and engineering professions only, known for driving innovation, research and development. The model’s predictors included motivation to learn mathematics, gender, and math classroom environments (disciplinary climate, teacher support and instructional strategies fostering conceptual understanding).MethodsWe used data from the Programme for International Student Assessment (PISA) 2022. Four countries were selected based on the percentage of students expecting STEM careers, representing high vs. low groups (Qatar and Morocco vs. Czech Republic and Lithuania, respectively). Analysis began with computing correlations between the variables, followed by path analyses for each country to determine both direct and indirect effects of the predictors on students’ STEM career expectations.ResultsWe found that motivation to learn mathematics not only directly predicted STEM career expectations but also mediated the influence of the remaining variables: gender (boys show higher motivation to learn math), and math classroom environments (students in well-disciplined math classes with supportive teachers who employ instructional strategies fostering math reasoning also demonstrate higher motivation to learn math). Remarkably, our model consistently demonstrated robustness across all four countries, despite their significant economic, ethnic, and religious diversity.ConclusionsTheoretically, the model reveals that 9th–10th grade students’ transitory long-term STEM career expectations are shaped by their interest in mathematics, their perceived importance of the subject, confidence in their self-efficacy to succeed in math tasks, perceptions of classroom disciplinary climate, teacher support, and their exposure to instructional strategies aimed at enhancing math reasoning. Practically, it suggests widespread potential for informing interventions aimed at increasing student motivation to pursue STEM careers through improved mathematics education practices.

Profitability’s impact on firm value in Indonesia’s real estate firms: a panel data investigation

PurposeProfitability is crucial for a company’s sustainability. This study aims to examine the influence of profitability and specific variables on the value of real estate companies in Indonesia.Design/methodology/approachThe study uses a sample of 42 real estate companies listed on the Indonesia Stock Exchange from 2017 to 2023. A static panel regression approach was adopted, with the best model being the fixed effect model, verified through a robustness test.FindingsThe results indicate that the fixed effect model is the most effective in explaining firm value. Profitability, proxied by return on assets (ROAs), does not significantly impact firm value. This finding is confirmed by robustness tests using another profitability measure, return on equity (ROE). Additionally, company size negatively and significantly impacts firm value, while activity ratio and leverage have a positive and significant effect. Liquidity and company growth do not significantly affect firm value.Research limitations/implicationsThe research is limited to Indonesian real estate firms, cautioning against broad generalization to other countries or industries. The study could not demonstrate the influence of profitability on the value of real estate companies. Instead, firm value is influenced by company size, activity ratio and leverage.Practical implicationsReal estate firms should increase their activity, optimize funding and consider company size to enhance firm value.Originality/valueThis study contributes to the Indonesian real estate sector by revealing that profitability does not enhance firm value. Indonesian real estate companies generally have low profitability and firm value.

Forest cover is more important than its integrity or landscape configuration in determining habitat use by mammals in a human-modified landscape in Colombia

Human activities shape the structure of landscapes in different ways and hence modify animal communities depending on the type and intensity of these activities. The Montes de Maria subregion of Colombia has experienced a heavy transformation of most areas despite covering one of the last remnants of dry forest, a critically endangered ecosystem. However, the effects of this transformation have been little explored. Here, we used a multispecies occupancy model (MSOM) to understand the relative influence of three components of land-use change – deforestation (remaining forest amount), degradation of forest integrity (forest quality) and fragmentation (landscape configuration) on mammalian habitat use across a mosaic of tropical dry forest in Colombia. Our data suggest that the percentage of forest cover was substantially important for herbivores, and consistently showed a moderate effect on the entire community and some individual species. High variability in species-specific responses to the examined variables hindered broad taxonomic generalizations, nevertheless, we detected a moderate positive effect of forest cover in both diet specialists and generalists species, as well as in species with small home ranges. Although omnivores responses, tended to use less complex landscapes (mosaics of land uses), there was high uncertainty in this response. The lack of substantial effects on most species, and the absence of threatened species across this anthropogenic landscape, suggests that the current community is composed of species tolerant to habitat modifications, but not only diet generalist species. This is most likely the result of a long filtering process caused by land use transformation and hunting which could have caused non-sensitive species to distribute relatively homogenously across this landscape. Our results suggest that conservation strategies in the study area should focus on conserving and expanding as much forest as possible rather than only improving the quality of already existing forest patches.

Widespread Adaptive Introgression of Major Histocompatibility Complex Genes across Vertebrate Hybrid Zones.

Interspecific introgression is a potentially important source of novel variation of adaptive significance. Although multiple cases of adaptive introgression are well documented, broader generalizations about its targets and mechanisms are lacking. Multiallelic balancing selection, particularly when acting through rare allele advantage, is an evolutionary mechanism expected to favor adaptive introgression. This is because introgressed alleles are likely to confer an immediate selective advantage, facilitating their establishment in the recipient species even in the face of strong genomic barriers to introgression. Vertebrate major histocompatibility complex genes are well-established targets of long-term multiallelic balancing selection, so widespread adaptive major histocompatibility complex introgression is expected. Here, we evaluate this hypothesis using data from 29 hybrid zones formed by fish, amphibians, squamates, turtles, birds, and mammals at advanced stages of speciation. The key prediction of more extensive major histocompatibility complex introgression compared to genome-wide introgression was tested with three complementary statistical approaches. We found evidence for widespread adaptive introgression of major histocompatibility complex genes, providing a link between the process of adaptive introgression and an underlying mechanism. Our work identifies major histocompatibility complex introgression as a general mechanism by which species can acquire novel, and possibly regain previously lost, variation that may enhance defense against pathogens and increase adaptive potential.

Sulfonylation of Pyridyl Phosphonium Salts with Sulfinate Salts in Aqueous Media for the Synthesis of 4-Pyridyl Sulfones via C-P Bond Cleavage.

A Na2S2O8-initiated sulfonylation of pyridyl phosphonium salts with sulfinate salts in aqueous media has been developed for facile access to 4-pyridyl sulfones. The reactions, which employed pyridyl phosphonium salts as efficient pyridylation agents via C-P bond activation, showed both broad substrate generality and good functional group compatibility. In addition, the scale-up synthesis and the late-stage modification of pharmaceutically active complex molecules (e.g., loratadine, bisacodyl) could also be successfully realized.

Catalytic Deoxygenative Transformation of Ketoacids/Esters for the Synthesis of Coumarin, Benzofuranone, and Dihydrobenzo[b]oxepin‐2(3H)‐one Derivatives

AbstractWe disclose herein a triflic acid and silane‐promoted reductive deoxygenative transformation of ketoacid/esters for the divergent synthesis of different‐sized lactones, which hold substantial significance in pharmaceutical and natural product chemistry. Owing to the simple reaction conditions and setup, this protocol features broad substrate generality, scalability, and good functional group tolerance, including late‐stage functionalization of pharmaceutical compounds and natural products. The control experiments and detailed NMR study provide insight into the reaction mechanism.

Inorganic film materials for flexible electronics: A brief overview, properties, and applications

AbstractThe field of flexible electronics has experienced remarkable expansion in response to the escalating demand for lightweight, bendable, and multifunctional electronic devices. As the world increasingly integrates electronics seamlessly into everyday life, the importance of flexible electronics becomes more apparent. While existing reviews have examined materials used in flexible devices, they often overly focus on specific materials or provide broad generalizations about different material types. Thus, this review offers a concise yet comprehensive overview of critical inorganic film materials crucial to the advancement of flexible and wearable devices. Each material is introduced with a succinct overview of its structure and production processes. This review elucidates their unique characteristics and potential applications in flexible electronics by comparing their mechanical, electrical, and thermal properties. This review is a valuable resource for researchers entering this emerging field of flexible electronics, providing a concise yet comprehensive insight and property comparisons. Accompanied by figures illustrating material structures and applications, readers will gain access to summarized discussions. Comparative figures of material properties will enhance comprehension. Additionally, discussions on diverse applications will offer insight into their versatility across various fields of flexible electronics.

Dietary Interventions and Supplements for Managing Attention-Deficit/Hyperactivity Disorder (ADHD): A Systematic Review of Efficacy and Recommendations.

Attention-deficit/hyperactivity disorder (ADHD) significantly impacts children's neurological development, behaviour, and overall well-being, affecting academic performance and social interactions. This systematic review investigates the effectiveness of dietary interventions (DASH(Dietary Approaches to Stop Hypertension) diet, Vitamin D3 supplementation, magnesium, and impact of artificial food colors and marine oils) and supplements alongside standard pharmacotherapy in managing ADHD symptoms. Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we extensively searched various databases for studies published from 2016 to 2022. Out of an initial pool of 7873 records, 14 randomized controlled trials met our inclusion criteria following rigorous screening. Our findings suggest that gluten-free diets may alleviate ADHD symptoms despite negative celiac serology, highlighting the role of non-celiac gluten sensitivity. Moreover, vitamin and mineral supplements like vitamin D and magnesium showed varying degrees of effectiveness in improving behavioural and emotional symptoms. Innovative treatments, such as combining saffron with methylphenidate and using marine oil extracts, also demonstrated potential in enhancing behaviours associated with ADHD. The review underscores the importance of dietary approaches, such as the DASH diet and specific exclusions (e.g., a few foods diet and an oligoantigenic diet), in managing symptoms by addressing nutritional factors. Studies on probiotics and interventions targeting gut microbiota composition yielded mixed results, necessitating further exploration. Limitations include study diversity and short-term outcome assessments, cautioning against broad generalizations. Integrating personalized dietary assessments and interventions into ADHD treatment strategies could optimize therapeutic outcomes and potentially reduce reliance on pharmacotherapy alone. In summary, this systematic review highlights the potential benefits of dietary modifications and supplements in managing ADHD symptoms. Future research should prioritize long-term efficacy, interactions with conventional medications, and personalized dietary approaches to refine ADHD treatment strategies.

Enhanced “learning to learn” through a hierarchical dual-learning system: the case of action video game players

In contrast to conventional cognitive training paradigms, where learning effects are specific to trained parameters, playing action video games has been shown to produce broad enhancements in many cognitive functions. These remarkable generalizations challenge the conventional theory of generalization that learned knowledge can be immediately applied to novel situations (i.e., immediate generalization). Instead, a new “learning to learn” theory has recently been proposed, suggesting that these broad generalizations are attained because action video game players (AVGPs) can quickly acquire the statistical regularities of novel tasks in order to increase the learning rate and ultimately achieve better performance. Although enhanced learning rate has been found for several tasks, it remains unclear whether AVGPs efficiently learn task statistics and use learned task knowledge to guide learning. To address this question, we tested 34 AVGPs and 36 non-video game players (NVGPs) on a cue-response associative learning task. Importantly, unlike conventional cognitive tasks with fixed task statistics, in this task, cue-response associations either remain stable or change rapidly (i.e., are volatile) in different blocks. To complete the task, participants should not only learn the lower-level cue-response associations through explicit feedback but also actively estimate the high-level task statistics (i.e., volatility) to dynamically guide lower-level learning. Such a dual learning system is modelled using a hierarchical Bayesian learning framework, and we found that AVGPs indeed quickly extract the volatility information and use the estimated higher volatility to accelerate learning of the cue-response associations. These results provide strong evidence for the “learning to learn” theory of generalization in AVGPs. Taken together, our work highlights enhanced hierarchical learning of both task statistics and cognitive abilities as a mechanism underlying the broad enhancements associated with action video game play.