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Simulations of photochemical reaction dynamics have been a challenge to the theoretical chemistry community for some time. In an effort to determine the predictive character of current approaches, we predict the results of an upcoming ultrafast diffraction experiment on the photodynamics of cyclobutanone after excitation to the lowest lying Rydberg state (S2). A picosecond of nonadiabatic dynamics is described with ab initio multiple spawning. We use both time dependent density functional theory (TDDFT) and equation-of-motion coupled cluster singles and doubles (EOM-CCSD) theory for the underlying electronic structure theory. We find that the lifetime of the S2 state is more than a picosecond (with both TDDFT and EOM-CCSD). The predicted ultrafast electron diffraction spectrum exhibits numerous structural features, but weak time dependence over the course of the simulations. [ABSTRACT FROM AUTHOR]

The concept of physical literacy (PL) has witnessed enormous popularity in recent years and has undergone substantial theoretical evolvement during the last 2 decades. However, the research field pertaining to PL has not yet initiated discussions around the challenges of climate change and the alignment with conceptualizations of planetary health. Therefore, we argue that the consideration of an "ecological domain" for individual physical activity, in the form of ecological awareness, would further evolve the concept. We illustrate how to potentially integrate adjustments within the most frequent PL definitions of the field (eg, those in Australia, Canada, England, Ireland, the United States, or by the International Physical Literacy Association) without questioning the entire integrity of these elaborate conceptualizations. An ecological domain of PL would not only interact with the postulated physical, cognitive, psychological/affective, and social domains of PL but also have important implications for the (re)design of interventions and practices in physical activity contexts. We call the scientific community, both on national and international scales, to intensify the discussions and initiate a research agenda involving an "ecological domain" of PL. [ABSTRACT FROM AUTHOR]

Water ubiquitously exists with dissolved salt in both natural and engineered porous media, such as soil, rock, concrete, and tissue; therefore, its freezing temperature depression behavior is of particular interest to various scientific communities tackling with mechanics and physics of porous media. To date, it remains elusive which physical mechanism accounts for its freezing temperature depression and how dissolved ions affect it. Herein, a series of pore-scale experiments were designated to investigate the freezing temperature of salt solutions in tubes with varying pore diameters, pore solution volumes, solid–liquid interfacial areas, ion concentrations, and ion types. The results reveal two main findings: (i) the freezing temperature depression of pore solutions is governed by the heterogeneous ice nucleation (HIN) at the water–solid interface, as evidenced by the observation that the freezing temperature decreases with the decreasing solid–liquid interfacial areas, regardless of pore diameter and pore solution volume; (ii) the dissolved salts alter HIN processes via changing the osmotic potential across the ice embryo–liquid water interface, as indicated by the observation that the freezing temperature is mainly determined by the salt concentration irrespective of salt types. Furthermore, the classical nucleation theory model is adapted for the freezing behavior of pore solutions by including an osmotic potential term. The model shows excellent performance in capturing experimental data with various pore solution concentrations, further substantiating the HIN as the physical mechanism governing pore solution freezing. [ABSTRACT FROM AUTHOR]

Data-driven interatomic potentials (IPs) trained on large collections of first principles calculations are rapidly becoming essential tools in the fields of computational materials science and chemistry for performing atomic-scale simulations. Despite this, apart from a few notable exceptions, there is a distinct lack of well-organized, public datasets in common formats available for use with IP development. This deficiency precludes the research community from implementing widespread benchmarking, which is essential for gaining insight into model performance and transferability, and also limits the development of more general, or even universal, IPs. To address this issue, we introduce the ColabFit Exchange, the first database providing open access to a large collection of systematically organized datasets from multiple domains that is especially designed for IP development. The ColabFit Exchange is publicly available at https://colabfit.org, providing a web-based interface for exploring, downloading, and contributing datasets. Composed of data collected from the literature or provided by community researchers, the ColabFit Exchange currently (September 2023) consists of 139 datasets spanning nearly 70 000 unique chemistries, and is intended to continuously grow. In addition to outlining the software framework used for constructing and accessing the ColabFit Exchange, we also provide analyses of the data, quantifying the diversity of the database and proposing metrics for assessing the relative diversity of multiple datasets. Finally, we demonstrate an end-to-end IP development pipeline, utilizing datasets from the ColabFit Exchange, fitting tools from the KLIFF software package, and validation tests provided by the OpenKIM framework. [ABSTRACT FROM AUTHOR]

Phyllosilicate minerals are an emerging class of naturally occurring layered insulators with large bandgap energy that have gained attention from the scientific community. This class of lamellar materials has been recently explored at the ultrathin two-dimensional level due to their specific mechanical, electrical, magnetic, and optoelectronic properties, which are crucial for engineering novel devices (including heterostructures). Due to these properties, phyllosilicate minerals can be considered promising low-cost nanomaterials for future applications. In this Perspective article, we will present relevant features of these materials for their use in potential 2D-based electronic and optoelectronic applications, also discussing some of the major challenges in working with them. [ABSTRACT FROM AUTHOR]

Herein, we report a novel and powerful approach developed to lower the manufacturing costs of PSCs and make them powerful and cost-effective technology through identifying more efficient and low-cost dopant-free hole-transport materials (HTMs) for PSCs by avoiding the shotgun approach of synthesizing hundreds or thousands of HTMs, fabricate devices and characterize them to identify the best performing candidate(s). With these in mind, the primary objective of this study is to develop a machine learning model extracted from automated-quantitative structure–property relationship (autoQSPR) models that could accurately predict various photovoltaic properties, including power conversion efficiency (PCE), open-circuit photovoltage (VOC), and short-circuit photocurrent (JSC), of dopant-free HTM-based PSCs. High-efficacy AutoQSPR models capable of accurately predicting photovoltaic properties were developed by considering experimental photovoltaic property data sets from dopant-free HTMs used in the fabrication of PSCs with different architectures, e.g., conventional (n–i–p) and inverted (p–i–n), which are fabricated using methyl ammonium lead halides (MALHs) or mixed cation lead halides, were used to develop high efficacy autoQSPR models capable of accurate predictions of photovoltaic properties. The Schrodinger Suite was utilized to build autoQSPR models to predict PCE, VOC, and JSC utilizing different kinds of molecular descriptors such as 2D binary fingerprints, one dimensional (1D), two dimensional (2D), and three dimensional (3D). Notably, 2D binary fingerprint descriptors generate models that outperform 1D, 2D, and 3D molecular descriptors calculated using the well-known PaDEL calculator. The developed autoQSPR models were improved when the PSC configurations were considered and a significant predictive ability (test set Q2 > 0.5) was achieved for all autoQSPR models that involved the use of 2D binary fingerprint descriptors. The model confidence was validated by the utilization of dopant-free HTMs that were not present in the original dataset used to build the models. Furthermore, the most efficient models were used to propose potential HTM candidates to benefit the scientific community and scholars. [ABSTRACT FROM AUTHOR]

The document is a contents list from the journal CrystEngComm, focusing on the design and understanding of solid-state and crystalline materials. It includes articles on topics such as comparing slips induced by thermal stresses in SiC crystals, surface functionalized chalcogenides for Hg2+ removal, and structural insights into ketanserin salts. The journal also introduces a new journal, RSC Applied Interfaces GOLD, and features papers on various topics like azobenzene crystal motions, hydrogen peroxide photosynthesis, and biomass quasi-solid-state batteries. [Extracted from the article]

The document is a contents list from the journal CrystEngComm, focusing on the design and understanding of solid-state and crystalline materials. It includes highlights, communications, papers, and information on various research topics such as metal-organic frameworks, crystal growth, and hydrogen storage. The journal aims to connect the world with the chemical sciences and invest profits back into the chemistry community, showcasing a diverse range of scientific research in the field. [Extracted from the article]

The "New Journal of Chemistry" published by The Royal Society of Chemistry features a variety of research articles on topics such as catalysis, solar energy, and coordination chemistry. The journal showcases papers on topics like the synthesis of explosives, electrochemical sensing, and the photovoltaic performance of dyes. It also includes research on materials for lithium-ion batteries, humidity detection, and sustainable anodes. The journal aims to connect the global chemistry community and invest profits back into the field. [Extracted from the article]

Recently an extensive growth in the market for Unmanned Aerial Vehicles (UAVs, drones) has been observed. Because of numerous advantages, their application in various areas is wide, starting with military, through civilian -- specialized up to amateur. The world market for civilian commercial drones in the year 2022 has achieved a value of more than USD 30 billion, and it is estimated that by 2032 it will have achieved USD 125 billion. Great expectations of reduction of world CO2 emissions and development of clean economy are linked with drones application in transportation and agriculture. Unfortunately, despite of the UAV -- related advantages mentioned above, the problem of their comprehensive recycling seems to remain unseen. Actions aimed at recycling lithium-ion batteries used in drones have been taken, whereas the challenge of recycling the construction materials applied in UAVs seems to be ignored, which, taking into consideration the estimated growth of the UAV market and a relatively short product lifecycle, may constitute a significant ecological problem in the near future. The aim of this article is to draw attention of scientific community to the crucial but unnoticed problem, which UAV recycling will become in the near future. The authors tried to assess the extent of drones recycling problem by review of UAVs market, emphasizing the most common construction materials applied in their production, and to outline the issues related to their recycling. Proposals of solutions facilitating introduction of circular economy into UAVs market have also been put forward. [ABSTRACT FROM AUTHOR]

Purpose: Business schools play a significant role in providing individuals with the ability to adapt to constantly changing environments. Such agile organizations require deans who, as leaders, possess the knowledge and attributes of astute and responsible executives. In this regard, the measurement of the attributes of leadership paves the way for evaluating a leader's options process. In this study, we measure the attributes of leadership to pave the way for evaluating a leader's decision-making process. Design/methodology/approach: The rich data included the opinions of 93 university professors from seven countries: Iran, India, China, France, the UK, Canada and the USA. In appraising the responses, the authors considered the nationality and the development level of each participant's country and continent. In this study, the authors developed an online questionnaire based on the best-worst method (BWM). By performing a one-way analysis of variance (ANOVA), the authors also determined the significant statistical differences of the scientific communities through the lenses of authentic leadership, leader-member exchange and social identity and leadership. Findings: The results provide evidence of transparency, measured as the most important criterion for leading a business school, i.e. knowledgeable deanship. Furthermore, the findings reveal a meaningful difference between developed and developing countries in the context of an authentic leadership pillar. Originality/value: This paper contributed to the literature in five major ways as follows: The authors investigated the attitudes of scientific communities from different countries, business schools, BWM, dean selection and leadership evaluation.By means of the BWM, the authors measured the criteria culminating in the selection of a knowledgeable leader for a business school.The authors compared and contrasted the attitudes of scientific communities in developing countries vis-à-vis those in developed ones.The authors addressed the differences and similarities among countries in relation to the selection of a knowledgeable business school leader.The authors provided beneficial insights by addressing the different perspectives of researchers on the weights of the criteria involved in the selection procedure for a business school dean. [ABSTRACT FROM AUTHOR]

Industrial chemical producers and formulators are increasingly conscious of their responsibility in stewarding planetary resources and minimizing harm to the environment. In 2019, the Royal Society of Chemistry (RSC) engaged an industry task force from across the value chain to drive technical research to classify a new class of polymer—polymers in liquid formulation (PLFs). Building on this, the task force called for step change in sustainability practices for PLFs and instigated a design and development process to identify research themes and priorities that could accelerate innovation in this area. However, a key challenge was that as a novel classification, PLFs were largely unknown outside the chemistry community and entirely absent from the mainstream research agenda. To establish the demand-pull requirements of the value chain for sustainable PLFs, the RSC used a 'mission-oriented' innovation framework to enable the taskforce to co-design an ideal-type portfolio of research and innovation projects, and to set out a realistic roadmap for transition. This perspective article presents a summary of the activities carried out by the task force in its pursuit of mission-oriented innovation for PLFs and describes the strategic design method used to enable cross-value chain consensus on action for PLF sustainability, build system-wide innovation ecosystems and explore common-good scenarios. This article is part of the discussion meeting issue 'Green carbon for the chemical industry of the future'. [ABSTRACT FROM AUTHOR]

Background: A cluster randomised trial is a randomised controlled trial in which groups of individuals (clusters) are randomised to treatment arms. Stepped wedge cluster randomised trials are a type of cluster randomised trial where clusters are randomised to sequences. These trial designs are important for impacting decision-making, and it is therefore important that they be well-conducted and reported. Main body: In November 2018, we created a new website dedicated to cluster randomised trials, including stepped wedge designs: https://clusterrandomisedtrials.qmul.ac.uk/. The idea for the website emerged from the conference on Current Developments in Cluster Randomised Trials and Stepped Wedge Designs held in November 2016 at Queen Mary University of London, with the aim to provide an online resource to facilitate quality trials and methodological research on these types of trial. The website is divided into sections covering Design, Analysis and Reporting for traditional (i.e. parallel two-arm) cluster randomised trials and stepped wedge designs and contains resources in the form of hyperlinks to relevant papers along with brief explanations. A noticeboard page provides details on announcements, events, and past events. Conclusion: We aim to keep the site updated with the latest publications and events related to cluster randomised trials, and welcome suggestions from the research community on further resources or events to add. We hope that the site will facilitate high-quality traditional and stepped wedge cluster randomised trials. [ABSTRACT FROM AUTHOR]

ObjectiveLiterature SurveyMethodologySynthesisConclusionPerform a systematic critical appraisal of current clinical practice guidelines (CPGs) for frozen shoulder.Systematic review of CPGs (PROSPERO number CRD42022368775). Inclusion criteria- CPGs written in English providing guidance on the evaluation and or treatment for frozen shoulder, traumatic injury and neurologic CPGs were excluded.Relevant studies were assessed for inclusion and selected studies were identified from PubMed, EMBASE, Scopus and CINAHL databases. The search strategy was developed by a biomedical librarian, performed on October 9, 2024.Data were extracted from the selected CPGs and underwent quality assessment using the Appraisal of Guidelines for Research and Evaluation (AGREE) II.The search resulted in 38,428 studies and 2 CPGs were retained for appraisal. The mean overall AGREE II score was 75% (SD = 5.7). Lowest mean scores were found in the applicability (27% SD = 24.0) and editorial independence (48% SD = 14.1) domains. The highest domain scores were found in scope and purpose (92% SD = 7.8) and clarity and presentation (79% SD = 9.9). One CPG was rated as low quality based on a priori criteria and ultimately one higher quality CPG was recommended.Given the advances in research that have developed over the last decade pertaining to the evaluation and treatment of frozen shoulder there is a critical need for an up to date, evidence informed, high quality CPG in order to identify gaps in our knowledge that the global research community should address. [ABSTRACT FROM AUTHOR]

The "Chemical Society Reviews" journal, published by The Royal Society of Chemistry, features a variety of research articles on topics such as metal oxide catalysis, nanoplasmonic biosensors, and stretchable optoelectronic materials. The journal covers a range of subjects related to chemistry, including environmental sustainability, bioelectronic interfaces, and energy conversion. Researchers interested in cutting-edge developments in the field of chemistry may find valuable insights in this publication. [Extracted from the article]

The document is a contents list from the journal CrystEngComm, focusing on the design and understanding of solid-state and crystalline materials. It includes research papers on topics such as organic-inorganic hybrid oxygen evolution catalysts, crystal structure prediction, battery construction, and magnetic studies of coordination polymers. The journal also covers topics like colorimetric detection, degradation of pollutants, and laser crystal growth, showcasing a diverse range of research in the field of chemistry. [Extracted from the article]

Resveratrol, a naturally occurring polyphenolic compound, has captivated the scientific community with its promising therapeutic potential across a spectrum of diseases. This review explores the complex role of resveratrol in modulating ferroptosis, a newly identified form of programmed cell death, and its potential implications for managing cardiovascular and cerebrovascular disorders, cancer, and other conditions. Ferroptosis is intricately linked to the pathogenesis of diverse diseases, with resveratrol exerting multifaceted effects on this process. It mitigates ferroptosis by modulating lipid peroxidation, iron accumulation, and engaging with specific cellular receptors, thereby manifesting profound therapeutic benefits in cardiovascular and cerebrovascular conditions, as well as oncological settings. Moreover, resveratrol's capacity to either suppress or induce ferroptosis through the modulation of signaling pathways, including Sirt1 and Nrf2, unveils novel therapeutic avenues. Despite resveratrol's limited bioavailability, advancements in molecular modification and drug delivery optimization have amplified its clinical utility. Future investigations are poised to unravel the comprehensive mechanisms underpinning resveratrol's action and expand its therapeutic repertoire. We hope this review could furnish a detailed and novel insight into the exploration of resveratrol in the regulation of ferroptosis and its therapeutic prospects. Exploring resveratrol - a novel insight into ferroptosis regulation and therapeutic prospects. [ABSTRACT FROM AUTHOR]

The effects of the COVID‐19 pandemic on adolescents were extensive, touching aspects of their lives such as those reviewed in this Special Section : school experiences, family relationships, peer relationships, and civic engagement. In parallel with these effects on individuals, the fields of developmental and psychological science were shaken up by this global crisis. The accelerated transition to online data collection and collaboration presented opportunities to expand research on adolescence, breaking down many physical and social barriers to participation and sparking methodological innovation. Yet, this crisis also shed light on the global digital divides and the uneven impacts of the pandemic across the research community. This commentary reflects on the influence of the COVID‐19 pandemic on the methods and methodologies of developmental science, the challenges and opportunities it surfaced, and the populations included and omitted in this period of research. We integrate reflections on how the pandemic shaped our own research and on how the pandemic has shaped the future of developmental science. [ABSTRACT FROM AUTHOR]

Software process simulation (SPS) has become an effective tool for software process management and improvement. However, its adoption in industry is less than what the research community expected due to the burden of measurement cost and the high demand for domain knowledge. The difficulty of extracting appropriate metrics with real data from process enactment is one of the great challenges. We aim to provide evidence‐based support of the process metrics for software process (simulation) modeling. A systematic literature review was performed by extending our previous review series to draw a comprehensive understanding of the metrics for process modeling following our proposed ontology of metrics in SPS. We identify 131 process modeling studies that collectively involve 1975 raw metrics and classified them into 21 categories using the coding technique. We found product and process external metrics are not used frequently in SPS modeling while resource external metrics are widely used. We analyze the causal relationships between metrics. We find that the models exhibit significant diversity, as no pairwise relationship between metrics accounts for more than 10% SPS models. We identify 17 data issues may encounter in measurement and 10 coping strategies. The results of this study provide process modelers with an evidence‐based reference of the identification and the use of metrics in SPS modeling and further contribute to the development of the body of knowledge on software metrics in the context of process modeling. Furthermore, this study is not limited to process simulation but can be extended to software process modeling, in general. Taking simulation metrics as standards and references can further motivate and guide software developers to improve the collection, governance, and application of process data in practice. [ABSTRACT FROM AUTHOR]

The Duke University Clinical and Translational Science Institute Community Engaged Research Initiative (CERI) created an e-Library in 2018. This e-Library was developed in response to requests from academic researchers and the community for reliable, easily accessible information about community-engaged research approaches and concepts. It was vetted by internal and external partners. The e-Library's goal is to compile and organize nationally relevant community-engaged research resources to build bi-directional capacity between diverse community collaborators and the academic research community. Key elements of the e-Library's development included a selection of LibGuides as the platform; iterative community input; adaptation during the COVID-19 pandemic; and modification of this resource as needs grow and change. [ABSTRACT FROM AUTHOR]

Trait‐based restoration strategies are gaining significant attention in the scientific community. A recent article in Restoration Ecology by Merchant et al. outlined four reasons why traits are underused in restoration practice. In their response to the paper, Gornish et al. highlighted examples of how practitioners do, in fact, use traits in restoration and made recommendations for researchers to better engage with practitioners to leverage existing knowledge. Here, we clarify a preeminent challenge for either perspective: that we continue to lack the empirical data needed to develop and apply the effective trait‐based tools envisioned by many researchers. Long‐term, spatially replicated studies designed to address context‐dependency are needed to address critical knowledge gaps. Co‐developing projects with practitioners not only fosters more realistic and relatable study designs but also increases the likelihood of adopting new methods, enabling long‐term research that advances theory while improving local outcomes through more accurate trait‐based predictions. [ABSTRACT FROM AUTHOR]

Sexual pain and difficulties with sexual intercourse in women, formerly diagnosed as dyspareunia and vaginismus and reconceptualised as genito-pelvic pain/penetration disorder (DSM-5) or sexual pain-penetration disorder (ICD-11), have caused widespread discussions in the clinical and scientific community for decades, mainly due to differential-diagnostic difficulties. Meanwhile, their developmental origin has remained under-theorised. Standard diagnostic guidelines like ICD or DSM lack psychodynamic considerations about their origins. Valuable approaches to understanding those phenomena have been commonly neglected. The aim of this study was to compare inductively obtained information from women with experiences with vaginismus (n=17) and dyspareunia (n=11) about their relationships with primary caregivers from biographic-narrative interviews. Our mixed-method analysis involved two steps: a first qualitative assessment drew on psychoanalytically informed research principles and the development of a coding frame, which was used by two independent raters to code the material; in a second step, coded experiences were statistically compared between the two groups using Fisher's exact tests to explore similarities and differences. Integrating results with theoretical psychodynamic work, we suggest that the postulation of interactional functions of conversion and somatisation, based on early experiences with primary objects, adds significantly to the conceptualisation of dyspareunia and vaginismus. Results indicate that vaginismus might represent a conversion symptom with a triangulating function, whereas dyspareunia might be understood as a form of somatisation and serves the purpose of replacing the primary object. The results are discussed in the light of previous theoretical outlines of women's genital pain and includes strengths and limitations of our proposition. [ABSTRACT FROM AUTHOR]

Studies assessing the use of ground‐penetrating radar (GPR) for locating unmarked human graves commonly use pigs as proxies, with recent concerns about the adequacy of pigs as substitutes for humans. Also, there is little agreement on how to identify and describe GPR signals associated with graves. Hence, this project's aim is to compare GPR signals acquired over simulated clandestine graves with pig and human remains. We established human, pig, and control graves at the REST[ES] human decomposition facility in May 2022 and monitored the graves over 17 months using a 250 MHz antenna GPR system. Our results showed the presence of perturbed and V‐shaped reflectors, diffraction hyperbolas, and reflectors with amplitude loss at depth between 0.6 and 0.75 m in the radargram for graves with human and pig remains. We corroborate recent studies which concluded that the use of proxies is a viable alternative to human cadavers. The observed radar signatures were classified into five key patterns, which are characteristic of similar data collected with 250 MHz above graves reported in the literature. These classes are: V‐shaped dipping reflections from grave walls (class A), small hyperbolic reflections superimposed onto a near‐linear reflector (class B), hyperbolic reflections from remains within the grave (class C), new high‐amplitude reflection patterns (class D) and significant loss or interruption of reflections (class E). Our proposed classification can help streamline future investigations where the goal is to interpret burials within large GPR datasets and provide language to communicate these results to the broader scientific community. [ABSTRACT FROM AUTHOR]

This commentary is in response to the proposed changes in the United Kingdom Research Excellence Framework (UK REF) 2029 and the potential implications on Hong Kong beyond the upcoming Research Assessment Exercise (Hong Kong RAE) 2026. Defining research excellence in a world of change is challenging and debatable. The suggested changes in UK REF 2029 are numerous and structural, ranging from changing the relative importance of the components of research excellence to a re‐conceptualisation of the scope, structure, and assessment criteria of each component. The issues are complex and the implications are wide‐ranging. A wider awareness among the research community and an in‐depth dialogue with the relevant authorities about the proposed changes are urgently needed. [ABSTRACT FROM AUTHOR]

Monthly night-time light (NTL) data can be very useful for studying intra-year socio-economic dynamics. The Earth Observation Group at Colorado School of Mines started providing monthly NTL imagery for free since 2021; based on Defence Meteorological Satellite Program Operational Linescan System (DMSP-OLS) data. In the current study, an attempt has been made to produce an improved monthly DMSP product from 1992 to 2013. The monthly DMSP product suffers from several drawbacks such as spatial inconsistency, random fluctuations in the data for consecutive years, pixel saturation in bright cores, and blooming effect around settlements. As a result, geometric errors, background noise, and radiometric errors persist in the monthly DMSP images. This research tries to address each of these errors by applying various techniques to produce a vigorously tested and improved monthly DMSP dataset consisting of 216 images (1992–2013). Automatic intensity-based registration has been used to register the monthly images to their corresponding annual composite stable light image. Thresholding and land cover data have been used to remove the background noise. Finally, ridgeline regression is implemented considering F14 December 2003 as the reference image. Each technique has been verified by qualitative analysis of the intermediate outputs. The quantitative assessments of the improved monthly DMSP product reveal that it is a good proxy measure when split from 1992 to 2002 and 2003–2013 with an R2 of 0.84 & 0.82 w.r.t GDP and 0.83 & 0.80 w.r.t population in contrast to the original DMSP data with R2 of 0.70 & 0.75 w.r.t GDP and 0.73 and 0.80 w.r.t population. Transect analysis across six urban cities verifies that the improved product shows reduced saturation in urban areas and increased contrast in sub-urban regions. Finally, a consistent monthly DMSP product is delivered to the research community which will be useful for studying time-series intra-year changes in urbanization, economic growth, and other socio-economic dynamics. [ABSTRACT FROM AUTHOR]

Evaluative tools for qualitative research need to be developed and designed in a way that allows them to be used by the research community to assess qualitative research on its own terms, and thus strengthen, rather than undermine, research quality. The diversity of qualitative research practice makes the development of ‘one size fits all’ tools challenging. When evaluating Big Q Qualitative – the use of practices for generating and analysing qualitative data underpinned by qualitative research values – many existing ‘one size fits all’ reporting checklists and standards have the potential to introduce methodological incongruence through their inclusion of criteria that don’t ‘fit’ or align with Big Q values. The values and practices of Big Q Qualitative research, and the paradigms and meta-theoretical assumptions that inform them, are typically incommensurable with ideas and ideals founded in, disciplinary dominant, (post)positivism/objectivism and scientific realism. The unknowing, or knowing-but-required, application of ill-fitting criteria and standards for reporting risks not just incongruence, but undermining the vitality and creativity of Big Q Qualitative. However, evaluative guidelines remain important tools, pragmatically and rhetorically. In this paper, we explain and justify our development of a set of reporting guidelines to support methodologically congruent and reflexively open evaluation and reporting of Big Q Qualitative research. The Big Q Qualitative Reporting Guidelines (BQQRG) articulate a values-, rather than consensus-, based framework for reporting and evaluating qualitative research. [ABSTRACT FROM AUTHOR]

47Sc is a theranostic radionuclide under the spotlight of the scientific community thanks to its potential for SPECT imaging and therapeutic applications. This work presents the recent measurements of proton-induced nuclear reaction cross-sections aimed at 47Sc production using enriched 48Ti, 49Ti and 50Ti targets from 23 up to 70 MeV. Since the co-production of contaminant isotopes is a key issue, and 46Sc is the main one having a longer half-life than 47Sc, the 48/49/50Ti(p,x)47Sc and 46Sc cross sections are presented and compared with the scarce literature data and TALYS estimations. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Protecting diversity is critical to maintaining functional and adaptive ecosystems. However, research groups that explore these relationships tend to lack diversity themselves. To address the challenges of our changing world, it is crucial to consider a wide range of perspectives and knowledge. We propose that just as greater diversity in ecosystems relates to a variety of functions and, consequently, enhances resilience, stability, and efficiency, a comparable diversity within research teams results in a broader spectrum of creative endeavors. Thus, it is important to re‐evaluate our scientific communities' openness toward greater diversity to meet the diverse problems of our changing world. Summary: Ecosystems face multiple threats, jeopardizing natural and human well‐being. Biodiversity loss can increase ecosystem vulnerability to global change, risking abrupt and irreversible changes. Protecting biodiversity can prevent ecosystems from crossing tipping points, preserving their functions and resilience, which sustain life on our planet. In addressing these challenges, society demands creativity, innovation, and diverse perspectives. Yet, our societal structures often neglect the full range of voices and experiences, limiting problem‐solving. Understanding how research teams with diverse demographics may stimulate creative solutions to global change challenges may help. In this context, we emphasize examples from plant ecology, where the advantages of diverse ecosystems are well recognized, and we draw an analogy of these features to the innovation of research teams. In ecosystems, biodiversity can maximize productivity and function but can also serve as a protective "insurance" against disruptions. Similarly, in a time of multifaceted environmental changes, diverse research groups play a critical and analogous role, resembling the biodiversity within ecosystems. Diverse research teams not only bring complementary strengths, fostering creative problem‐solving by embracing various perspectives, but also drive scientific innovation by integrating a wide range of research topics (e.g., ecosystems, taxa, and conservation priorities). These human‐centered dynamics are congruent with the mechanisms in ecosystems, with a diversity of solutions promoting resilience, stability, and efficiency, all of which ultimately provide a counterbalancing effect on global change. Much like biodiverse ecosystems, a diverse spectrum of knowledge, and expertise within the scientific community can enrich a dynamic landscape of innovation. [ABSTRACT FROM AUTHOR]

In this manuscript, we explore the potential therapeutic use of helminths. After analyzing helminths' role in connection with human health from the perspective of their symbiotic and evolutionary relationship, we critically examine some studies on their therapeutic applications. In doing so, we focus on some prominent mechanisms of action and potential benefits, but also on the exaggerations and theoretical and methodological difficulties of such proposals. We conclude that further studies are needed to fully explore the potential benefits of this perspective, and we encourage the scientific community in doing so. [ABSTRACT FROM AUTHOR]

The development of professional skills is essential for biology students to be successful in their future careers. However, current teaching approaches often fail to provide adequate training. The aim of this theory to practice study was to develop an effective methodology for improving the professional skills of biology students through laboratory work. Theoretical and diagnostic methods, mathematical statistics, empirical methods, and a questionnaire were used. The results showed a significant increase in competencies after the laboratory training intervention. Students demonstrated significant improvements in technical skills, critical thinking, teamwork, and communication. In conclusion, structured practical laboratory training shows promise for enhancing the professional capabilities of aspiring biologists. The practical value of this study is to develop work skills, independent decision-making ability, and professional skills, in line with the requirements of modern scientific community. [ABSTRACT FROM AUTHOR]

Every philosophy has a geo-socio-cultural locus. The pragmatic theory of truth is a historically recent contribution to philosophic endeavor from the New World. Although the nuancing can be traced to the Academic Skeptics in Ancient Greece, it is substantially the articulation of American perception of a world view into a philosophy. This paper could not have been done if the claim remained that of an articulation or even encapsulation of a regional world view. The declaration that the world of philosophy is being proffered a theory of truth in the pragmatic theory of truth supplied the raw material for this work. This paper tried to x-ray the principles and character of any truth-claims. The pragmatic theory does not meet-up with subsisting characteristic in truth-claims. It cashes in on the workable, useful, 'successful' and whatever has instrumental or cash-value; that is, that which produces results. Although these elements of the theory can be integrated into a properly developed theory of truth; in the case of the pragmatic theory of truth, this was not done. There were dislocations in the theory which cannot be reconciled to any serious attempt at developing a theory of truth. Due to the glaring deficiencies in the theory, it becomes imperative to note that the thesis in the whole project cannot be sustained. The methodological approaches to the study are the critical, historical, phenomenological and expository methods. The goal was to illuminate the theory through these methods for better appreciation and execution of the task of the paper. [ABSTRACT FROM AUTHOR]

The elite sport movement for athletes with hearing impairments, namely Deaflympics, differs from the Paralympic and Olympic sport movements because it exhibits a variety of distinct sociocultural and organisational characteristics. Yet, mental training with Deaflympic athletes receives little to no attention from the scientific community. Little is known about sport psychology consultants' (SPCs) work with Deaflympic athletes. In this study, we explored SPCs' exposure to so called Deaf sport as well as their experiences, attitudes, and assumptions regarding the utility of psychological skills training (PST) with Deaflympic athletes. A self-constructed questionnaire with closed and semi-open questions was completed by 93 (58.8% female) SPCs in European German-speaking countries. Analyses revealed SPCs had limited exposure to Deaflympic sport but indicated readiness to work with Deaflympic athletes. SPCs shared no reasons as to why PST skills and techniques would not be effective with Deaflympic athletes. However, SPCs regarded communication challenges as a major obstacle. We conclude that the integration of elite Deaf sport in SPCs' training programmes is vital, considering SPCs' lack of exposure and experience with Deaflympic athletes as well as their communication insecurities. In addition, further empirical research on PST effectiveness in Deaflympics athletes should provide the foundation for evidence-based utility of applied sport psychology in Deaflympic sport. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI)—the field of computer science that designs machines to perform tasks that typically require human intelligence—has seen rapid advances in the development of foundation systems such as large language models. In the workplace, the adoption of AI technologies can result in a broad range of hazards and risks to workers, as illustrated by the recent growth in industrial robotics and algorithmic management. Sources of risk from deployment of AI technologies across society and in the workplace have led to numerous government and private sector guidelines that propose principles governing the design and use of trustworthy and ethical AI. As AI capabilities become integrated in devices, machines, and systems across industry sectors, employers, workers, and occupational safety and health practitioners will be challenged to manage AI risks to worker health, safety, and well‐being. Five risk management options are presented as ways to assure that only trustworthy and ethical AI enables workplace devices, machinery, and processes. AI technologies will play a significant role in the future of work. The occupational safety and health practice and research communities need to ensure that the promise of these new AI technologies results in benefit, not harm, to workers. [ABSTRACT FROM AUTHOR]

The Maternal Death Surveillance and Response (MDSR) system is designed to continuously identify and review all maternal deaths. It aims to help countries understand the scale and distribution of maternal deaths, identify their causes, and inform corrective measures to address the challenge. Despite the growing adoption of the MDSR by numerous low- or middle-income countries, its implementation faces various challenges, including legal ones. This scoping review was conducted to map legal issues and challenges that arise during the implementation of the MDSR. It adapted the Bain and Kongnyuy framework, categorizing legal issues into data, people, use of findings, and legal regulation. Literature was retrieved from seven databases, complemented by additional online searches. We included studies published in English between 2010 and November 2022 that report on legal issues arising during the implementation of MDSR. Out of 1174 studies screened, 31 were selected for review. The review highlighted the limited attention given to the legal dimension of the MDSR by the research community. It also documented the lack of adequate legal framework essential for the system's effective implementation. Inadequate safeguards for informational privacy and the lack of confidentiality reinforce a prevalent sense of being blamed, mainly among health workers. Consequently, widespread under-reporting and intentional misattribution of causes of maternal death, defensive referrals, and disengagement from the MDSR process were reported. We recommend that implementing countries regulate the gathering and use of MDSR data through appropriate laws and legally ensure that the MDSR data are only used for the intended purpose. Appropriate complaint-handling mechanisms are needed in health systems to prevent the misuse of the MDSR. Future studies on MDSR implementation would benefit from involving legal experts, considering the multifaceted legal dimensions of the MDSR. [ABSTRACT FROM AUTHOR]

Research into mathematics education at university level includes a wide range of theoretical approaches. This poses considerable challenges to researchers in terms of understanding and harmonizing the compatibility and commensurability of those approaches. The research community has already problematised and studied these challenges using networking theories. The networking theories framework is taken as a starting point in this study to contrast different approaches and to broaden the comparison of different frameworks. In particular, three case studies framed in the Action, Process, Object, Schema Theory, in the Problem-Solving approach, and in the Anthropological Theory of the Didactic are analysed. The differences and possible similarities between the three with regard to the research questions addressed, their objects of study, their empirical bases, as well as their research ends are considered. The analysis offers an insight into the potential for collaboration and the networking of theories in the field of university mathematics education. [ABSTRACT FROM AUTHOR]

The words integrity, ethics, and governance are used interchangeably in relation to research. This masks important differences that must be understood when trying to address concerns regarding research culture. While progress has been made in identifying negative aspects of research culture (such as inequalities in hiring/promotion, perverse incentives, etc.) and practical issues that lead to research waste (outcome reporting bias, reproducibility, etc.), the responsibility for addressing these problems can be unclear due to the complexity of the research environment. One solution is to provide a clearer distinction between the perspectives of "Research Integrity," "Research Ethics," and "Research Governance." Here, it is proposed that Research Integrity should be understood as focused on the character of researchers, and consequently the responsibility for promoting it lies primarily with researchers themselves. This is a different perspective from Research Ethics, which is focused on judgments on the ethical acceptability of research, and should primarily be the responsibility of research ethics committees, often including input from the public as well as the research community. Finally, Research Governance focuses on legal and policy requirements, and although complementary to research integrity and ethics, is primarily the responsibility of expert research support officers with the skills and experience to address technical compliance. [ABSTRACT FROM AUTHOR]

The sudden spread of the monkeypox virus has been accompanied by an increase in the scientific interest in the virus. More than 1,400 PubMed-indexed documents have been authored by about 5,800 unique authors, averaging around 120 publications per month. This sheer rise in the number led us to explore the content published in the literature. We discovered more than 30% of the documents are Quantitative Productivity (QP) i.e., papers that illustrate the emerging trends of parachute concerns, modified salami tactics, cyclic recycling, and excellence in redundancy. In addition, we found few common hyper-prolific authors previously identified in the COVID-19 literature. Further, we share our experience in publishing monkeypox literature and highlight the growing readership and citation interest in editorials, commentaries, and correspondences that were thought to be uncitable in the medical literature. As long as the scientific community and public demand, the supply of such papers will continue, with no responsibility on the authors, journals, or the reader. Since overhauling the current system is an arduous task, we propose the optimization of existing retrieval services that would selectively filter documents based on article type (requires standardization of definitions) to dilute the crowding out effects of quantitative productivity. [ABSTRACT FROM AUTHOR]

The thematic issue entitled, "Current Advances in Coastal Wetland Elevation Dynamics," draws on topics from two special sessions at the CERF 2021 conference plus additional recent research describing scientific insights gained from the Surface Elevation Table–Marker Horizon (SET–MT) method and its application across the globe to quantify and understand subsurface process influences on wetland elevation change and wetland responses to sea-level rise. The findings group articles within each of five thematic topics. (1) A 30-year retrospective on the scientific insights gained on surface and shallow subsurface process dynamics. (2) Investigations of the subsurface soil process influences on wetland elevation. (3) How the scientific community applies the SET–MH method to quantify and understand wetland responses to RSLR and other environmental drivers such as altered hydrology and sediment supply. (4) How SET–MH data are used in long-term monitoring networks at different geographic scales. (5) Pairing the SET-MH method with (a) survey techniques to increase lateral coverage of wetland elevation trends and (b) geodetic measurements to increase vertical coverage of vertical land motion. [ABSTRACT FROM AUTHOR]

Educational institutions face challenges of bridging gaps between teaching, research, and practice to ensure that students' knowledge and competencies are current and relevant to practitioner communities. Research apprenticeship is a student research model that supports students in becoming knowledgeable and competent members of the IS research community of practice. In this paper, I present the model and a survey among IS graduates to evaluate their learning outcomes based on the Researcher Development Framework. Responses are analyzed based on the concepts of "legitimate peripheral participation" and "community of practice." Results show that the model supports students in becoming legitimate members of the IS research community of practice and acquiring domain knowledge and competencies that IS practitioners value. The model thereby helps to reduce the practice-research gap. I discuss the implications and provide suggestions for both educators and practitioners. [ABSTRACT FROM AUTHOR]

Not all wildfires can be averted, but data, models and collaborations can help to chart a course to a fire-resilient future. [ABSTRACT FROM AUTHOR]

While a great deal of recent effort has focused on addressing a perceived reproducibility crisis within brain structural magnetic resonance imaging (MRI) and functional MRI research communities, this article argues that brain positron emission tomography (PET) research stands on even more fragile ground, lagging behind efforts to address MRI reproducibility. We begin by examining the current landscape of factors that contribute to reproducible neuroimaging data analysis, including scientific standards, analytic plan pre-registration, data and code sharing, containerized workflows, and standardized processing pipelines. We then focus on disparities in the current status of these factors between brain MRI and brain PET. To demonstrate the positive impact that further developing such reproducibility factors would have on brain PET research, we present a case study that illustrates the many challenges faced by one laboratory that attempted to reproduce a community-standard brain PET processing pipeline. We identified key areas in which the brain PET community could enhance reproducibility, including stricter reporting policies among PET dedicated journals, data repositories, containerized analysis tools, and standardized processing pipelines. Other solutions such as mandatory pre-registration, data sharing, code availability as a condition of grant funding, and online forums and standardized reporting templates, are also discussed. Bolstering these reproducibility factors within the brain PET research community has the potential to unlock the full potential of brain PET research, propelling it toward a higher-impact future. [ABSTRACT FROM AUTHOR]

Natural language and visualization are two complementary modalities of human communication that play a crucial role in conveying information effectively. While visualizations help people discover trends, patterns and anomalies in data, natural language descriptions help explain these insights. Thus, combining text with visualizations is a prevalent technique for effectively delivering the core message of the data. Given the rise of natural language generation (NLG), there is a growing interest in automatically creating natural language descriptions for visualizations, which can be used as chart captions, answering questions about charts or telling data‐driven stories. In this survey, we systematically review the state of the art on NLG for visualizations and introduce a taxonomy of the problem. The NLG tasks fall within the domain of natural language interfaces (NLIs) for visualization, an area that has garnered significant attention from both the research community and industry. To narrow down the scope of the survey, we primarily concentrate on the research works that focus on text generation for visualizations. To characterize the NLG problem and the design space of proposed solutions, we pose five Wh‐questions, why and how NLG tasks are performed for visualizations, what the task inputs and outputs are, as well as where and when the generated texts are integrated with visualizations. We categorize the solutions used in the surveyed papers based on these ‘five Wh‐questions’. Finally, we discuss the key challenges and potential avenues for future research in this domain. [ABSTRACT FROM AUTHOR]

The document from Chemical Communications, published in 2024, provides a comprehensive list of contents for the issue. It includes profiles of contributors, highlights on surface properties of carbon nitride materials, feature articles on various topics such as reactivity, nanoassemblies, and catalysis, as well as communications on topics like intermolecular interactions, synthesis strategies, and catalytic processes. The journal aims to connect the world with the chemical sciences and invest profits back into the chemistry community, reflecting a commitment to advancing research in the field. [Extracted from the article]

Electro-hydraulic actuator system (EHAS) has imposed a challenge in the research community for accurate mathematical modeling and identification due to non-linearities. In this paper, autoregressive exogenous (ARX) structure is used for EHAS modeling and identification is performed by exploiting the competency of atomic physics-based chaotic atom search optimization (CASO) that adapts ten chaotic maps (Chebyshev, Circle, Gauss, Iterative, Logistic, Piecewise, Sine, Singer, Sinusoidal and Tent) in position update of atom search optimization (ASO). The fitness/merit function of the EHAS model is developed in mean-square error (MSE) sense between desired and approximated values. Simulations and analysis show that ASO with a chaotic logistic map (CASO5) performs better than the ASO and its other chaotic variants, as well as other recently introduced metaheuristics for diverse variations in the system model. Statistics based on MSE, learning plots, results of autonomous trials and average fitness analyses verify the consistency and reliability of the CASO5 for the identification of the EHAS model. [ABSTRACT FROM AUTHOR]

Insertion storage in battery electrodes and supercapacitive storage are typically considered to be independent phenomena and thus are dealt with in separate scientific communities. Using tailored experiments on titanium oxide thin films of various thicknesses, we demonstrate the simultaneous occurrence of both processes. For the interpretation of the entire storage profile encompassing both contributions, the (free) energies of the charge carriers in the mixed conductor and the neighboring phase are the only materials parameters required. The experimental results enable no less than a unification of insertion and supercapacitive storage, the first being dominant for thick films, the latter for thin films or negligible electronic conductivity. Therefore, the size of the storage medium and the nature of the current collecting phases can be used to tune power density versus energy density. [ABSTRACT FROM AUTHOR]

Selectively tracking and quantifying Al3+ ions is a significant concern to the scientific communities. In the present article, an imine‐linkage electron donor‐acceptor system, DSAN, (E)‐5‐(diethylamino)‐2‐(((2‐hydroxy‐4‐nitrophenyl)imino)methyl)phenol has been introduced which shows Al3+ ions endows red light fluorogenicity which could be utilized for sequential and detection of Al3+ ions and picric acid (PA) in both solid and liquid phases. Upon addition of Al3+ ions into the DSAN solution, an orange‐red fluorescence is noticed at 604 nm caused by the formation of Al3+ ions chelated DSAN complex having detection and quantification limit 0.2 μM and 0.62 μM respectively in dimethylformamide (DMF) medium. The complex formation is found to be a 1 : 1 stoichiometric ratio as evident from Job's plot analysis. Also, the binding affinity value is found to be 3.24×104 M−1 demonstrating a high affinity of DSAN towards Al3+ ions. This orange‐red fluorescence of Al3+ ions chelated DSAN complex solution is quenched due to the introduction of PA. A super handy paper‐strips‐based detection tool also been fabricated utilizing DSAN which could be employed to track trace amounts of Al3+ ions in the solid state. The mechanism involved in the detection of Al3+ ions is elucidated by density functional theoretical analysis. [ABSTRACT FROM AUTHOR]