bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers and opportunities regarding community-based forest management in Afghanistan: considerations for fragile states
Authors: Khurram Safiullah , Shalizi Mohammad Nasir , Bashari Mujtaba , Akamani Kofi , Groninger John W 
Published: November 2023

SummaryThe Government of the Islamic Republic of Afghanistan (GIRoA), in power during 2002–2021, initiated the process of instituting community-based forest governance and building local capacity for natural resource management. These efforts coincided with the presence of international security forces and the mobilization of civil society organizations, and they were in response to community aspirations to protect and restore often degraded local forests. Legislation was passed to enable forest protection and management, including a provision to encourage participatory management by local community user groups organized as Forest Management Associations (FMAs). By the end of the GIRoA era, c. 20 registered FMAs were operating with c. 400 others in various stages of development across Afghanistan. Our analysis of relevant policy documents revealed that the policy framework developed during the GIRoA era scores favourably on the ideal criteria for community-based resource management. Despite the change in political administration with the inception of the current Islamic Emirate of Afghanistan regime, the influence of the GIRoA era serves as a starting point and may have enduring influences on rural communities in Afghanistan and the natural resources that support them. Anecdotal evidence suggests that community-based forest management may persist under the current national leadership despite international isolation and funding constraints. The model developed in Afghanistan may be relevant to other fragile states, especially in contexts where rural forest-dependent communities have strong local institutions, such asshuras, and where forests are not prone to heavy extraction pressure.
Large Language Model (LLM)-Powered Chatbots Fail to Generate Guideline-Consistent Content on Resuscitation and May Provide Potentially Harmful Advice
Authors: Birkun Alexei A. , Gautam Adhish 
Published: November 2023

AbstractIntroduction:Innovative large language model (LLM)-powered chatbots, which are extremely popular nowadays, represent potential sources of information on resuscitation for the general public. For instance, the chatbot-generated advice could be used for purposes of community resuscitation education or for just-in-time informational support of untrained lay rescuers in a real-life emergency.Study Objective:This study focused on assessing performance of two prominent LLM-based chatbots, particularly in terms of quality of the chatbot-generated advice on how to give help to a non-breathing victim.Methods:In May 2023, the new Bing (Microsoft Corporation, USA) and Bard (Google LLC, USA) chatbots were inquired (n = 20 each): “What to do if someone is not breathing?” Content of the chatbots’ responses was evaluated for compliance with the 2021 Resuscitation Council United Kingdom guidelines using a pre-developed checklist.Results:Both chatbots provided context-dependent textual responses to the query. However, coverage of the guideline-consistent instructions on help to a non-breathing victim within the responses was poor: mean percentage of the responses completely satisfying the checklist criteria was 9.5% for Bing and 11.4% for Bard (P >.05). Essential elements of the bystander action, including early start and uninterrupted performance of chest compressions with adequate depth, rate, and chest recoil, as well as request for and use of an automated external defibrillator (AED), were missing as a rule. Moreover, 55.0% of Bard’s responses contained plausible sounding, but nonsensical guidance, called artificial hallucinations, that create risk for inadequate care and harm to a victim.Conclusion:The LLM-powered chatbots’ advice on help to a non-breathing victim omits essential details of resuscitation technique and occasionally contains deceptive, potentially harmful directives. Further research and regulatory measures are required to mitigate risks related to the chatbot-generated misinformation of public on resuscitation.
Palliative care and spiritual care competency measurement among Turkish Nurses: A scale adaptation study
Authors: Kavalalı Erdoğan Tuğba , Koç Zeliha 
Published: November 2023

AbstractObjectivesThis study aimed to conduct a Turkish validity and reliability study of the Palliative Care Spiritual Care Competency Scale.MethodsThe sample of the study consisted of 354 nurses. In the first stage, the forward–backward translation method was used to develop the Turkish version of the Palliative Care Spiritual Care Competency Scale. The comprehensibility, purposefulness, cultural appropriateness, and discrimination of the scale items were evaluated with content validity. Confirmatory factor analysis (CFA) was applied to examine the construct validity of the scale. To evaluate the ability of the scale to give consistent results at different time intervals, the relationship between the scores obtained from the first and second applications was examined with the intraclass correlation coefficient (ICC). The reliability of the scale was evaluated with the Cronbach’s alpha reliability coefficient and item-total score correlation coefficients.ResultsThe content validity index of the Palliative Care Spiritual Care Competency Scale was found to be 0.98 after expert opinion was obtained. The goodness-of-fit values of the scale wereχ2/sd: 3.125; GFI: 0.915; AGFI: 0.875; IFI: 0.926; TLI: 0.905; CFI: 0.925; RMSEA: 0.078; SRMR: 0.054. As a result of CFA, some items were removed from the scale, and a Turkish version of the scale consisting of 14 items and three sub-dimensions was developed. The reliability of the scale over time was evaluated with the test-retest method, and it was found that the inter-response agreement was very good (ICC: 0.981;p < 0.001). The Cronbach’s alpha reliability coefficient of the scale was 0.89 and the Cronbach’s alpha reliability coefficient of the subscales ranged between 0.78 and 0.85.Significance of resultsIt was determined that the Turkish version of the Palliative Care Spiritual Care Competency Scale is a short, easy-to-understand, and psychometrically sound measurement tool that can be safely applied to Turkish nurses.
Early child health in Africa: do ICT and democracy matter?
Authors: Nkoumou Ngoa Gaston Brice , Song Jacques Simon 
Published: November 2023

AbstractThis article examines the effect of information and communication technologies (ICT) and democracy on early child health using data from 51 African countries. We first specify and estimate a panel data model using ordinary least squares and two-stage least squares over the period 2001–2019. We apply the Hodrick–Prescott filter before analysis. Our results show that the extension of mobile phone use significantly contributes to the improvement of early child health in Africa. This effect is indifferent to the state or the level of democracy. Also, the internet diffusion plays a positive role in early child health when the democracy environment improves and becomes better. We suggest policies in favour of a large access to ICT tools and internet infrastructure as well as the promotion of democracy in Africa to better prevent infant mortality.
Artificial intelligence underpins urban water infrastructure of the future: A holistic perspective
Authors: Fu Guangtao , Sun Siao , Hoang Lan , Yuan Zhiguo , Butler David 
Published: November 2023

Abstract
The potential of artificial intelligence (AI) in water management is widely recognised by research and practice communities alike, with an increasing number of applications showed tackling water supply, stormwater and wastewater management challenges. However, there is a critical knowledge gap in understanding the fundamental role of AI in the development of urban water infrastructure (UWI). This review aimed to provide an analysis of how AI could be aligned to support the future development of UWI systems. Four types of AI analytics – descriptive, diagnostic, predictive and prescriptive – are discussed and linked to the improvement in the performance of UWI systems from three categories: reliability, resilience and sustainability. It is envisioned that AI technology will play a pivotal role in UWI transitioning to the future through underpinning the five development pathways: decentralisation, circular economy, greening, decarbonisation and automation. The barriers in improving AI adoption in the real world are also highlighted from four dimensions: cyber-physical infrastructure, institutional governance, social-economic systems and technological development in wider society. Embedding AI in the development pathways and tackling the barriers can ensure that AI-empowered systems are deployed in an equitable and responsible way to improve the resilience and sustainability of future UWI systems.
Effectiveness of preemergence- and postemergence-applied oxyfluorfen in rice compared to current standards
Authors: Arnold Casey H. , Norsworthy Jason K. , Butts Thomas R. , Roberts Trenton L. , Bateman Nick R. , Shelton Chad W. 
Published: November 2023

Abstract
Control of barnyardgrass is becoming increasingly difficult as plants evolve resistance to herbicides. ROXY oxyfluorfen-resistant rice (ROXY® Rice Production System) has been developed to provide an alternative mode of action for controlling barnyardgrass and other weeds. In 2021 and 2022, field trials were conducted at the Pine Tree Research Station near Colt, AR; the Northeast Research and Extension Center in Keiser, AR; and the University of Arkansas Pine Bluff Small Farm Research Center near Lonoke, AR, to determine the level of weed control and crop tolerance following oxyfluorfen applied preemergence (PRE) or postemergence (POST) relative to herbicides currently labeled for use in rice crops. When applied post-plant PRE on silt loam soil, oxyfluorfen alone at 1,120 and 1,680 g ai ha−1 resulted in barnyardgrass control comparable to that of clomazone applied alone at 336 g ha−1. Still, injury to rice was often greater than with clomazone, ranging from 20% to 45%. On clay soil, oxyfluorfen applied at 1,680 g ha−1 resulted in barnyardgrass control that was comparable to that of clomazone alone in both site-years at 3 wk after emergence but caused up to 18% injury to rice. When oxyfluorfen was applied at 560 to 1,680 g ha−1 at the 2-leaf rice growth stage, barnyardgrass control was ≥85% in three of four site-years 1 wk after treatment. However, injury to rice ranged from 38% to 73% for the rates evaluated. Propanil caused the greatest injury by a herbicide currently labeled for use in rice at 34%. Oxyfluorfen should be used as a post-plant PRE herbicide rather than a POST herbicide due to the injury that occurred after a POST application. The data indicate that if used as a PRE herbicide, oxyfluorfen should be applied at 560 g ha−1 to reduce the injury that occurred on silt loam and clay soils.
Dynamic Structure of Eddies of the Brazil‐Malvinas Confluence Zone Revealed by Direct Measurements and Satellite Altimetry
Authors: Frey D. I. , Kubryakov A. A. 
Published: November 2023

AbstractThe goal of this work is to study the dynamical structure of eddies of the Brazil‐Malvinas Confluence zone (BMC eddies) using direct velocity measurements carried out by Shipborne Acoustic Doppler Current Profiler during five oceanographic cruises performed in 2016–2022. In total, in situ data of 13 BMC eddies, including nine anticyclones and four cyclones are available. These data show that the orbital velocity in such eddies can reach 189 cm/s and their vertical structure is highly barotropic. In several eddies, the velocities exceeding 100 cm/s are observed down to a depth of 560 m and at a depth of 800 m they are still higher than 80 cm/s. The spatial structure of velocity and horizontal shear in the eddies is strongly asymmetric, with higher velocities in the southern part near the intense thermohaline BMC front. Altimetry data show qualitative agreement with in situ data, but underestimate the horizontal velocity shear and the maximum velocities at the periphery of the BMC eddies. We also use satellite altimetry and Argo float measurements to study these eddies, and estimate their impact on the thermohaline structure. The analysis shows that the eddies with orbital velocities exceeding 100 cm/s cause intense temperature and salinity anomalies reaching 7–9°C and 1 psu in anticyclones and −4°C and 0.8 psu in cyclones at 100–300 m depth.
An Open‐Source, Physics‐Based, Tropical Cyclone Downscaling Model With Intensity‐Dependent Steering
Authors: Lin Jonathan , Rousseau‐Rizzi Raphael , Lee Chia‐Ying , Sobel Adam 
Published: November 2023

AbstractAn open‐source, physics‐based tropical cyclone (TC) downscaling model is developed, in order to generate a large climatology of TCs. The model is composed of three primary components: (a) a random seeding process that determines genesis, (b) an intensity‐dependent beta‐advection model that determines the track, and (c) a non‐linear differential equation set that determines the intensification rate. The model is entirely forced by the large‐scale environment. Downscaling ERA5 reanalysis data shows that the model is generally able to reproduce observed TC climatology, such as the global seasonal cycle, genesis locations, track density, and lifetime maximum intensity distributions. Inter‐annual variability in TC count and power‐dissipation is also well captured, on both basin‐wide and global scales. Regional TC hazard estimated by this model is also analyzed using return period maps and curves. In particular, the model is able to reasonably capture the observed return period curves of landfall intensity in various sub‐basins around the globe. The incorporation of an intensity‐dependent steering flow is shown to lead to regionally dependent changes in power dissipation and return periods. Advantages and disadvantages of this model, compared to other downscaling models, are also discussed.
Spatial transcriptomic interrogation of the murine bone marrow signaling landscape
Authors: Xiao Xue , Juan Conan , Drennon Tingsheng , Uytingco Cedric R. , Vishlaghi Neda , Sokolowskei Dimitri , Xu Lin , Levi Benjamin , Sammarco Mimi C. , Tower Robert J. 
Published: November 2023

AbstractSelf-renewal and differentiation of skeletal stem and progenitor cells (SSPCs) are tightly regulated processes, with SSPC dysregulation leading to progressive bone disease. While the application of single-cell RNA sequencing (scRNAseq) to the bone field has led to major advancements in our understanding of SSPC heterogeneity, stem cells are tightly regulated by their neighboring cells which comprise the bone marrow niche. However, unbiased interrogation of these cells at the transcriptional level within their native niche environment has been challenging. Here, we combined spatial transcriptomics and scRNAseq using a predictive modeling pipeline derived from multiple deconvolution packages in adult mouse femurs to provide an endogenous, in vivo context of SSPCs within the niche. This combined approach localized SSPC subtypes to specific regions of the bone and identified cellular components and signaling networks utilized within the niche. Furthermore, the use of spatial transcriptomics allowed us to identify spatially restricted activation of metabolic and major morphogenetic signaling gradients derived from the vasculature and bone surfaces that establish microdomains within the marrow cavity. Overall, we demonstrate, for the first time, the feasibility of applying spatial transcriptomics to fully mineralized tissue and present a combined spatial and single-cell transcriptomic approach to define the cellular components of the stem cell niche, identify cell‒cell communication, and ultimately gain a comprehensive understanding of local and global SSPC regulatory networks within calcified tissue.
Identifying energy model fingerprints in mitigation scenarios
Authors: Dekker Mark M. , Daioglou Vassilis , Pietzcker Robert , Rodrigues Renato , de Boer Harmen-Sytze , Dalla Longa Francesco , Drouet Laurent , Emmerling Johannes , Fattahi Amir , Fotiou Theofano , Fragkos Panagiotis , Fricko Oliver , Gusheva Ema , Harmsen Mathijs , Huppmann Daniel , Kannavou Maria , Krey Volker , Lombardi Francesco , Luderer Gunnar , Pfenninger Stefan , Tsiropoulos Ioannis , Zakeri Behnam , van der Zwaan Bob , Usher Will , van Vuuren Detlef 
Published: November 2023

AbstractEnergy models are used to study emissions mitigation pathways, such as those compatible with the Paris Agreement goals. These models vary in structure, objectives, parameterization and level of detail, yielding differences in the computed energy and climate policy scenarios. To study model differences, diagnostic indicators are common practice in many academic fields, for example, in the physical climate sciences. However, they have not yet been applied systematically in mitigation literature, beyond addressing individual model dimensions. Here we address this gap by quantifying energy model typology along five dimensions: responsiveness, mitigation strategies, energy supply, energy demand and mitigation costs and effort, each expressed through several diagnostic indicators. The framework is applied to a diagnostic experiment with eight energy models in which we explore ten scenarios focusing on Europe. Comparing indicators to the ensemble yields comprehensive ‘energy model fingerprints’, which describe systematic model behaviour and contextualize model differences for future multi-model comparison studies.
A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring
Authors: Cañas Juan Sebastián , Toro-Gómez María Paula , Sugai Larissa Sayuri Moreira , Benítez Restrepo Hernán Darío , Rudas Jorge , Posso Bautista Breyner , Toledo Luís Felipe , Dena Simone , Domingos Adão Henrique Rosa , de Souza Franco Leandro , Neckel-Oliveira Selvino , da Rosa Anderson , Carvalho-Rocha Vítor , Bernardy José Vinícius , Sugai José Luiz Massao Moreira , dos Santos Carolina Emília , Bastos Rogério Pereira , Llusia Diego , Ulloa Juan Sebastián 
Published: November 2023

AbstractGlobal change is predicted to induce shifts in anuran acoustic behavior, which can be studied through passive acoustic monitoring (PAM). Understanding changes in calling behavior requires automatic identification of anuran species, which is challenging due to the particular characteristics of neotropical soundscapes. In this paper, we introduce a large-scale multi-species dataset of anuran amphibians calls recorded by PAM, that comprises 27 hours of expert annotations for 42 different species from two Brazilian biomes. We provide open access to the dataset, including the raw recordings, experimental setup code, and a benchmark with a baseline model of the fine-grained categorization problem. Additionally, we highlight the challenges of the dataset to encourage machine learning researchers to solve the problem of anuran call identification towards conservation policy. All our experiments and resources have been made available at https://soundclim.github.io/anuraweb/.
The role of the transsulfuration pathway in spermatogenesis of vitamin D deficient mice
Authors: Jamshidian-Ghalehsefidi Narges , Rabiee Farzaneh , Tavalaee Marziyeh , Kiani Shaghayegh , Pouriayevali Farnaz , Razi Mazdak , Dattilo Maurizio , Nasr-Esfahani Mohammad Hossein 
Published: November 2023

AbstractVitamin D deficiency is a global health problem and has been linked to defective spermatogenesis and male infertility. In this study, we aimed to investigate the main enzymes involved in the transsulfuration pathway of 1-carbon metabolism, and spermatogenesis function. Therefore, sixteen male C57 mice were addressed to a control (standard diet) or vitamin D deficient (VDD) diet for 14 weeks. The results show that compared to the standard diet, VDD increased final body weight and reduced sperm quality, caused damage to the testicular structure, and decreased the serum levels of testosterone. In addition, serum concentrations of homocysteine, vitamin B12, and sperm oxidative stress markers increased. In testicular tissues, the CBS and CSE protein levels were down-regulated whereas HO-1 was up-regulated at both mRNA and protein expression levels. Within a mice deprivation model, VDD deeply suppressed testosterone and impaired spermatogenesis with oxidative stress-mediated mechanisms. The effects of the deprivation appeared to be at least in part independent of genomic and receptor-mediated vitamin D actions and suggest a specific impairment of the alternative transsulfuration pathway.
Formation evaluation of Abu Madi reservoir in Baltim gas field, Nile Delta, using well logs, core analysis and pressure data
Authors: Metwally Ahmed M. , Mabrouk Walid M. , Mahmoud Ahmed I. , Eid Amr M. , Amer Mohammed , Noureldin Ahmed M. 
Published: November 2023

AbstractBaltim Eastern and Northern gas fields in the offshore Nile Delta have very high gas condensate accumulations. Therefore, the present research evaluates Abu Madi and Qawasim Formations and defines the petrophysical parameters for them using various data from five wells composed of wireline logs (gamma-ray, density, neutron, sonic, resistivity), core data, pressure data, and cross-plots. In the current study, the formations of the main reservoirs were evaluated qualitatively and quantitatively based on the petrophysical analysis to assess the production potential. Based on the lithological identification, the two main reservoirs (Abu Madi and Qawasim Formations) are composed of sandstone, calcareous shale, and siltstone. The main petrophysical parameters (Shale volume, effective porosity, net thickness, and fluid saturations) were mapped to track the areal petrophysical variations in the field. The results of the petrophysical analysis reveal that the main reservoirs are promising for the hydrocarbon potential with effective porosity of 18%, low shale content with an average value of about 21%, higher gas saturation of average value of nearly 58%, net reservoir thickness ranges from 25.5 to 131.5 m, net pay thickness (effective thickness) ranges from 6 to 61 m. Also, the conventional core analysis affirms that the main reservoirs are of good effective porosity with high horizontal and vertical permeability values. There is a good match between the well-log results and the pressure data with the production data (DST “perforation tests”). Baltim East (BE3) well has the most desired petrophysical characteristics in the Baltim East gas field, while, the Baltim North-1 (BN1) well showed the most favorable petrophysical parameters in the Baltim North gas field. Different fluid contacts (gas water contact GWC) were detected by integrating all reservoir pressures. The integration of different data in our present work (well logs, core measurements, and pressure data) could reduce the drilling risks and help to determine the best locations for future exploration and development, which is considered a big challenge in the petroleum industry.