bluuebunny/crossref_metadata_2025_split huggingface dataset:
The identities of three plants of unknown origin revealed by ancient paintings
Authors: Del Guacchio Emanuele , Böhnert Tim , Sibilio Giancarlo , De Castro Olga , Caputo Paolo 
Published: January 2024

AbstractArchives and correspondences are often overlooked resources in assessing taxonomic and nomenclatural information and this sometimes affects taxonomic proposals. Here we show that unpublished illustrations not only can definitively help in identifying unresolved or poorly known names but can be themselves original material and sometimes must serve as types, avoiding neotypes or misleading synonymizations. We present the case of three names introduced by the Neapolitan botanist Michele Tenore (Muscari strangwaysii, Asparagaceae; Pogostemon suavis and Salvia menthifolia, Lamiaceae). They have been interpreted differently over time because herbarium specimens that constituted original material were not accurately searched for (M. strangwaysii) or were unavailable (P. suavis, S. menthifolia). Although these three names are currently synonymized (with M. neglectum, P. cablin, and S. chamaedryoides) we demonstrate that these synonymies are not correct, based on the detailed study of original nineteenth‐century watercolour paintings, a re‐examination of protologues and specimens preserved in the Botanical Garden of Naples (NAP). The watercolour paintings are crucial for application of the names, because diagnostic features often disappear with drying (M. strangwaysii), or because they are the only extant original material (P. suavis). In all three cases we introduce new typifications for the names and update the synonymy to M. botryoides, P. heyneanus, and S. microphylla, respectively.
Global LGBTQ Mental Health
Authors: Bränström Richard , Hughes Tonda L. , Pachankis John E. 
Published: January 2024

AbstractGlobally, research studies show a significantly elevated risk of poor mental health among LGBTQ individuals compared to cisgender and heterosexual individuals. Depression, anxiety, suicidality, and general distress demonstrate the largest mental health disparities by sexual orientation and gender identity. A growing body of evidence suggests the elevated risk of poor mental health among LGBTQ people is partly attributable to greater exposure to stigma-related stress. Minority stress theory, developed in the Global North, describes that LGBTQ people experience unique stressors (e.g., discrimination, violence, and identity concealment) that are linked to their sexual or gender identity. Although evidence suggests that these factors are important predictors of LGBTQ individuals’ mental health around the world, additional studies from the Global South have shown other strong predictors of LGBTQ mental health. These factors are related to societal integration barriers, such as low social trust, unemployment, and lack of stable housing. The extent to which these barriers override or interact with minority stress to predict mental health problems remains unknown. Still, the degree to which LGBTQ individuals around the world are exposed to stigma-related stress and experience barriers to societal integration is dependent on structural factors such as discriminatory laws and policies and societal attitudes. To better assess the mental health burden of LGBTQ individuals and its determinants, higher-quality studies are needed that use representative samples of the full spectrum of LGBTQ populations from different parts of the world. Future research also must develop efficient means for distributing LGBTQ-affirmative treatments to LGBTQ populations that most need them.
Sexual and Gender Minority Population’s Health Burden of Five Noncommunicable Diseases: Cardiovascular Disease, Cancer, Diabetes, Asthma, Chronic Obstructive Pulmonary Disease
Authors: McElroy Jane A. , Gosiker Bennett J. 
Published: January 2024

AbstractThis chapter will describe five noncommunicable diseases (NCDs) and their implications for the sexual and gender minority (SGM) population: cardiovascular diseases (CVD), cancer, diabetes mellitus (DM), asthma, and chronic obstructive pulmonary disease (COPD). These were selected due to their high relative prevalence among NCDs (World Health Organization, Fact sheet: noncommunicable diseases. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases. Accessed 25 Nov 2022, 2018). An extensive literature review was undertaken to uncover studies that reported on NCD prevalence among the SGM population, globally. For SM studies, nine countries that are considered mature from an economic perspective represented almost all of the findings. For transgender studies, almost all studies about cancer were case and case series reports, and these represented numerous countries around the world. The limited data representing a global perspective among sexual minorities hints at the possibility of a similar burden for CVD, cancer (excluding HIV/AIDS-related cancers), DM, COPD, and asthma (among SM men) compared to heterosexual and/or cisgender populations. The same seems to be true for transgender populations, with some evidence of elevated CVD risk among transfeminine populations.
Global Epidemiology and Social-Ecological Determinants of Substance Use Disparities, Consequences of Use, and Treatment Options Among Sexual and Gender Minority Populations
Authors: Mimiaga Matthew J. , Klasko-Foster Lynn , Santostefano Christopher , Jin Harry , Wyron Taryn , Hughto Jackie White , Biello Katie 
Published: January 2024

AbstractAcross the globe, sexual and gender minority populations experience stressors (e.g., stigma, discrimination, violence) at the individual, interpersonal, and environmental levels that may increase their risk of substance use and substance use disorders compared to their heterosexual and cisgender peers. This chapter describes the scope of disparities in substance use and related deleterious health outcomes for sexual and gender minority individuals from a global perspective. We give a brief overview of substances and their common classifications to provide context for how each may affect sexual and gender minority populations. Next, we review epidemiology of substance use and addiction across regions, with attention to cultural context. We emphasize disproportionate burden of substance use and resultant disease in sexual and gender minority individuals compared to both sexual majority groups and the general population in each of these geographic areas. In addition, we examine substance use and misuse specific to categories of sexual and gender minorities (e.g., gay men, transgender women) as well as racial/ethnic disparities within sexual and gender minority groups. We then discuss both risk and protective factors that may contribute to disparities in substance use and misuse for sexual and gender minority groups from a social-ecological perspective. Next, we describe consequences of substance use, specific to sexual and gender minority populations, including physical health outcomes (i.e., infectious and chronic diseases), social isolation, and incarceration. Lastly, we conclude this chapter with a review of substance use interventions specific to sexual and gender minorities.
Hypermultiplet metric and NS5-instantons
Authors: Alexandrov Sergei , Bendriss Khalil 
Published: January 2024

Abstract
The metric on the hypermultiplet moduli space of Calabi-Yau compactifications of type II string theory is known to receive D-brane and NS5-brane instanton corrections. We compute explicit expressions for these corrections in the one-instanton approximation, but to all orders in the string coupling expansion around the instantons. As a consistency check, we prove that in the case of one (universal) hypermultiplet, the resulting metric fits the Przanowski description of self-dual Einstein spaces. We also show that in the small string coupling limit the metric acquires a certain square structure, consistently with expectations from the string amplitudes analysis. This result provides explicit predictions for yet mysterious string amplitudes in the presence of NS5-branes.
Gravitational Waves from Nnaturalness
Authors: Batell Brian , Ghalsasi Akshay , Low Matthew , Rai Mudit 
Published: January 2024

Abstract
We study the prospects for probing the Nnaturalness solution to the electroweak hierarchy problem with future gravitational wave observatories. Nnaturalness, in its simplest incarnation, predicts N copies of the Standard Model with varying Higgs mass parameters. We show that in certain parameter regions the scalar reheaton transfers a substantial energy density to the sector with the smallest positive Higgs squared mass while remaining consistent with bounds on additional effective relativistic species. In this sector, all six quarks are much lighter than the corresponding QCD confinement scale, allowing for the possibility of a first-order chiral symmetry-breaking phase transition and an associated stochastic gravitational wave signal. We consider several scenarios characterizing the strongly-coupled phase transition dynamics and estimate the gravitational wave spectrum for each. Pulsar timing arrays (SKA), spaced-based interferometers (BBO, Ultimate-DECIGO, μAres, asteroid ranging), and astrometric measurements (THEIA) all have the potential to explore new regions of Nnaturalness parameter space, complementing probes from next generation cosmic microwave background radiation experiments.
Mechanical-metallurgical-corrosion behavior of Cr-Si-S-C ferritic/ferromagnetic stainless steel, known as AISI 430F, before and after isothermal recrystallization annealing
Authors: Bazri Shahab , Mapelli Carlo , Barella Silvia , Gruttadauria Andrea , Mombelli Davide , Nemfardi Renato , Bedini Roberto , Zucchelli Giorgio 
Published: January 2024

AbstractThe research investigates the mechanical and corrosion behavior of Cr-Si-S-C ferritic stainless steel (FSS), known as EN1.4105, which is equivalent to AISI430F. The static isothermal recrystallization annealing is applied to the cold-drawn (CD) materials with two different reduction rates (RRs) of 20 and 35%, under various conditions of soaking temperature and incubation time, which provide 42 unique specimens. The microstructures of CD and annealed materials are characterized by using the electron backscatter diffraction method. X-Ray diffraction analysis alongside scanning electron microscopy linked with energy-dispersive X-ray spectroscopy are also employed to scrutinize the precipitation of any secondary phases, morphologies, and the related chemical compositions. Two different corrosive chlorinated and acidic electrolyte solutions are used for the potentiostatic-based corrosion tests to investigate the passivation kinetics. The results show that the higher RR, which provides faster recrystallization, results in a higher scale of non-hardenable materials. In addition, the effects of RR and annealing conditions are found to have an impact on the corrosion resistance. Moreover, the material exhibits varied behavior in terms of both passivation layer formation as the immersion in the sulfuric acid electrolyte solution (SAES) and active electrochemical behavior immersing in sodium chloride electrolyte solution (SCES). However, this material shows lower corrosion current density and higher corrosion potential in the SCES compared to the SAES medium. The comprehensive findings underscore the intricate relationship between reduction rates, annealing conditions, microstructural evolution, and corrosion behavior in this FSS. The observed trends provide valuable insights for optimizing material performance and corrosion resistance in practical applications.
Graphical abstract
Machine learning for multi-dimensional performance optimization and predictive modelling of nanopowder-mixed electric discharge machining (EDM)
Authors: Sana Muhammad , Asad Muhammad , Farooq Muhammad Umar , Anwar Saqib , Talha Muhammad 
Published: January 2024

AbstractAluminium 6061 (Al6061) is a widely used material for various industrial applications due to low density and high strength. Nevertheless, the conventional machining operations are not the best choice for the machining purposes. Therefore, amongst all the non-conventional machining operations, electric discharge machining (EDM) is opted to carry out the research due to its wide ability to cut the materials. But the high electrode wear rate (EWR) and high dimensional inaccuracy or overcut (OC) of EDM limit its usage. Consequently, nanopowder is added to the dielectric medium to address the abovementioned issues. Nanopowder mixed EDM (NPMEDM) process is a complex process in terms of performance predictability for different materials. Similarly, the interactions between the process parameters such as peak current (Ip), spark voltage (Sv), pulse on time (Pon) and powder concentration (Cp) in dielectric enhance the parametric sensitivity. In addition, the cryogenic treatment (CT) of electrodes makes the process complex limiting conventional simulation approaches for modelling inter-relationships. An alternative approach requires experimental exploration and systematic investigation to model EWR and overcutting problems of EDM. Thus, artificial neural networks (ANNs) are used for predictive modelling of the process which are integrated with multi-objective genetic algorithm (MOGA) for parametric optimization. The approach uses experimental data based on response surface methodology (RSM) design of experiments. Moreover, the process physics is thoroughly discussed with parametric effect analysis supported with evidence of microscopic images, scanning electron microscopy (SEM) and 3D surface topographic images. Based on multi-dimensional optimization results, the NT brass electrode showed an improvement of 65.02% in EWR and 59.73% in OC using deionized water. However, CT brass electrode showed 78.41% reduction in EWR and 67.79% improved dimensional accuracy in deionized water. In addition to that, CT brass electrode gave 27.69% less EWR and 81.40% improved OC in deionized water compared to kerosene oil.
Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy
Authors: Mansouri Zahra , Salimi Yazdan , Akhavanallaf Azadeh , Shiri Isaac , Teixeira Eliluane Pirazzo Andrade , Hou Xinchi , Beauregard Jean-Mathieu , Rahmim Arman , Zaidi Habib 
Published: January 2024

AbstractPurposeAccurate dosimetry is critical for ensuring the safety and efficacy of radiopharmaceutical therapies. In current clinical dosimetry practice, MIRD formalisms are widely employed. However, with the rapid advancement of deep learning (DL) algorithms, there has been an increasing interest in leveraging the calculation speed and automation capabilities for different tasks. We aimed to develop a hybrid transformer-based deep learning (DL) model that incorporates a multiple voxelS-value (MSV) approach for voxel-level dosimetry in [177Lu]Lu-DOTATATE therapy. The goal was to enhance the performance of the model to achieve accuracy levels closely aligned with Monte Carlo (MC) simulations, considered as the standard of reference. We extended our analysis to include MIRD formalisms (SSV and MSV), thereby conducting a comprehensive dosimetry study.MethodsWe used a dataset consisting of 22 patients undergoing up to 4 cycles of [177Lu]Lu-DOTATATE therapy. MC simulations were used to generate reference absorbed dose maps. In addition, MIRD formalism approaches, namely, singleS-value (SSV) and MSV techniques, were performed. A UNEt TRansformer (UNETR) DL architecture was trained using five-fold cross-validation to generate MC-based dose maps. Co-registered CT images were fed into the network as input, whereas the difference between MC and MSV (MC-MSV) was set as output. DL results are then integrated to MSV to revive the MC dose maps. Finally, the dose maps generated by MSV, SSV, and DL were quantitatively compared to the MC reference at both voxel level and organ level (organs at risk and lesions).ResultsThe DL approach showed slightly better performance (voxel relative absolute error (RAE) = 5.28 ± 1.32) compared to MSV (voxel RAE = 5.54 ± 1.4) and outperformed SSV (voxel RAE = 7.8 ± 3.02). Gamma analysis pass rates were 99.0 ± 1.2%, 98.8 ± 1.3%, and 98.7 ± 1.52% for DL, MSV, and SSV approaches, respectively. The computational time for MC was the highest (~2 days for a single-bed SPECT study) compared to MSV, SSV, and DL, whereas the DL-based approach outperformed the other approaches in terms of time efficiency (3 s for a single-bed SPECT). Organ-wise analysis showed absolute percent errors of 1.44 ± 3.05%, 1.18 ± 2.65%, and 1.15 ± 2.5% for SSV, MSV, and DL approaches, respectively, in lesion-absorbed doses.ConclusionA hybrid transformer-based deep learning model was developed for fast and accurate dose map generation, outperforming the MIRD approaches, specifically in heterogenous regions. The model achieved accuracy close to MC gold standard and has potential for clinical implementation for use on large-scale datasets.
Early port site and peritoneal metastasis following robot-assisted radical cystectomy: a rare case report
Authors: Tripathi Shashank , Bhirud Deepak Prakash , Singh Mahendra , Singh Vikram , Choudhary Gautam Ram , Navriya Shivcharan , Jena Rahul , Sandhu Arjun Singh 
Published: January 2024

AbstractRadical cystectomy with pelvic lymph node dissection is the recommended treatment for managing muscle-invasive carcinoma of the urinary bladder. Early recurrence is observed in only about 4.1% of cases. Port-site metastasis following robot-assisted radical cystectomy is extremely rare. We encountered a challenging and a rare case of bladder cancer that manifested with port-site and peritoneal metastasis within 6 weeks of surgery.
Chemical composition of four essential oils and their adulticidal, repellence, and field oviposition deterrence activities against Culex pipiens L. (Diptera: Culicidae)
Authors: Farag Shaimaa M. , Moustafa Moataz A. M. , Fónagy Adrien , Kamel Omnia M. H. M. , Abdel-Haleem Doaa R. 
Published: January 2024

AbstractEffective mosquito repellents can limit the transmission of vector-borne diseases to humans. Consequently, there is an urgent need to develop mosquito control strategies that prioritize eco-friendly and cost-effective repellents. Essential oils (EOs) have enormous potential for mosquito repellency. Here, cinnamon, basil, eucalyptus, and peppermint EOs were investigated for adulticide and repellency properties against Culex pipiens as well on the oviposition behavior of gravid females from laboratory (lab test) and field (field test) populations. Cinnamon oil was an effective oviposition deterrent regardless of the population and had high adulticidal activity with toxicity index of 75.00% at 24 h of exposure, relative to deltamethrin. In addition, it exhibited effective repellency at 98.01% and 71.22% at 6.67 and 1.71 µl/cm2, respectively. Peppermint oil had the least adulticidal activity with toxicity index of 6.2% at 24 h, and it resulted in low repellency at 70.90% and 50.64% at 6.67 and 1.71 µl/cm2, respectively. On average, basil and eucalyptus oils showed some adulticidal efficiency, repellency, and oviposition deterrent activity. For all treatments, the oviposition deterrent index values of gravid females from natural populations (field test) were lower than those from lab-reared (lab test) females. Different ratios of monoterpenoids, phenylpropanoids, and fatty acids in the EOs tested likely account for the activity variations observed. Our results suggest cinnamon, basil, eucalyptus, and peppermint EOs, which are widely available, economical, and eco-friendly, with good potential for mosquito control strategies.
LSVT® BIG versus progressive structured mobility training through synchronous telerehabilitation in Parkinson’s disease: A randomized controlled trial
Authors: Kaya Aytutuldu Guzin , Ersoz Huseyinsinoglu Burcu , Karagoz Sakalli Nazan , Sen Aysu , Yeldan Ipek 
Published: January 2024

Abstract
Background
Parkinson’s disease (PD) is a common neurodegenerative illness associated with motor symptoms.

Aim
The aim of study was to compare the effects of synchronous telerehabilitation-based Lee Silverman Voice Treatment® BIG (LSVT® BIG) protocol and progressive structured mobility training in patients with Parkinson’s disease (PD).

Methods
Thirty-two patients diagnosed with PD (aged 40–72 years, Hoehn-Yahr stage 1–3) were randomly allocated into LSVT® BIG (Group 1) and Progressive Structured Mobility Training (Group 2) groups. Exercises were performed in both groups for 60 min a day, 4 days a week, for 4 weeks under the supervision of a physiotherapist with synchronous online videoconference method. Dynamic balance was assessed with Mini-Balance Evaluation Systems Test (Mini-BESTest) as a primary outcome measure. The secondary outcome measurements were Timed Up and Go Test (TUG), spatiotemporal parameters of gait from Kinovea® software, and postural stability from the Biodex Balance System. Other outcome measures were Activity-Specific Balance Confidence Scale-Short Form (ABC-SF), Parkinson’s Activity Scale (PAS), and Parkinson’s Disease Quality of Life Questionnaire (PDQ-39).

Results
This study showed significant group-by-time interactions on Mini-BEST (p = 0.042), ABC-SF (p = 0.029), and PAS (p = 0.022) in favor of group 1. Also, TUG (p < 0.01), spatiotemporal parameters of gait (p < 0.01), and PDQ-39 (p < 0.01) were improved in both groups.

Conclusion
Both synchronous telerehabilitation-based exercise protocols enhanced balance and gait, as well as activity level and quality of life in patients with PD. LSVT® BIG may be preferred to improve dynamic balance, balance confidence, and activity status in the early stages of PD. These results should be confirmed in future studies with more robust methodology.

Trial registration
NCT04694872.
Dual frames compensating for erasures—a non-canonical case
Authors: Arambašić Ljiljana , Stoeva Diana 
Published: January 2024

AbstractIn this paper, we study the problem of recovering a signal from frame coefficients with erasures. Suppose that erased coefficients are indexed by a finite set E. Starting from a frame $$(x_n)_{n=1}^\infty $$

(

x
n

)

n
=
1

∞

and its arbitrary dual frame, we give sufficient conditions for constructing a dual frame of $$(x_n)_{n\in E^c}$$

(

x
n

)

n
∈

E
c

so that the perfect reconstruction can be obtained from the preserved frame coefficients. The work is motivated by methods using the canonical dual frame of $$(x_n)_{n=1}^\infty $$

(

x
n

)

n
=
1

∞

, which however do not extend automatically to the case when the canonical dual is replaced with another dual frame. The differences between the cases when the starting dual frame is the canonical dual and when it is not the canonical dual are investigated. We also give several ways of computing a dual of the reduced frame, among which we are the most interested in the iterative procedure for computing this dual frame.