bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genomic and culture-based analysis of Cyclaneusma minus in New Zealand provides evidence for multiple morphotypes
Authors: Tarallo Mariana , Dobbie Kiryn Barbara , Leite Luciano Nunes , Waters Tammy Leigh , Gillard Kristin Nikki Tasmin , Sen Diya , Mesarich Carl Hayden , Bradshaw Rosie Ellen , McDougal Rebecca Louise 
Published: July 2024

AbstractCyclaneusma needle cast, caused by Cyclaneusma minus, affects Pinus species world wide. Previous studies suggested the presence of two distinct morphotypes in New Zealand, ‘verum’ and ‘simile’. Traditional mycological analyses revealed a third morphotype with clear differences in colony morphology and cardinal growth rates at varying temperatures. Genome sequencing of eight C. minus isolates provided further evidence of the existence of a third morphotype, named as ‘novus’ in this study. To further analyse these morphotypes, we predicted candidate effector proteins for all eight isolates, and also characterized a cell-death eliciting effector family, Ecp32, which is present in other pine phytopathogens. In concordance with their distinct classification into three different morphotypes, the number of Ecp32 family members differed, with patterns of pseudogenization in the ‘simile’ morphotype, and some members being found exclusively either in the ‘simile’ or ‘verum’ morphotypes. We also showed that the Ecp32 family proteins trigger cell death in non-host Nicotiana species, and, as previously demonstrated in other plant pathogens, the Ecp32 family proteins in C. minus adopt a β-trefoil fold. These analyses provide further evidence that the three morphotypes might be distinct species that need formal descriptions. Understanding the geographical range of different Cyclaneusma species and variations in virulence and pathogenicity will provide a better understanding of pine needle diseases and enable the development of more durable methods to control this disease.
Diffusion kurtosis imaging for different brain masses characterization
Authors: Abdelnasser Reem M. , AbdelGaleel Aya , Farhoud Ahmed H. , Mazloum Yasser , Ihab Reda M. 
Published: July 2024

Abstract
Background
Diffusion kurtosis imaging is an advanced magnetic resonance imaging technique that reveals additional information on the microstructure and micro-dynamics of different brain masses without the need for contrast agents. The aim of this study was to provide a comprehensive analysis of the role of MRI diffusion kurtosis and to compare it with magnetic resonance spectroscopy (MRS) and dynamic susceptibility contrast perfusion (DSC) in characterizing different brain masses, including gliomas, recurrent tumors, radiation necrosis, abscesses, and infarctions. Sixty-six patients with intracranial brain masses were enrolled in this prospective study. All patients were examined by conventional MRI sequences, DSC perfusion, MRS, and diffusion kurtosis imaging, with implemented b values which were 200, 500, 1000, 1500 and 2000s/mm2.

Results
Mean kurtosis (MK) was higher (P < 0.001) in recurrent brain tumors than in radiation-induced necrosis; the optimal MK cutoff value for differentiation between them was 642 with 91.3% sensitivity and 85.7% specificity. Mean kurtosis was also higher (P < 0.001) in high-grade gliomas than in low-grade gliomas; the optimal MK cutoff value for differentiation between them was 639 with 91.6% sensitivity and 85.71% specificity. There was a good level of agreement between ADC and MD within the studied cases, with a correlation coefficient r = 0.815. MK had more sensitivity and specificity in differentiation between high- and low-grade gliomas, as well as RIN and tumoral recurrence, than MRS and DSC.

Conclusions
Diffusion kurtosis imaging stands as an integral, noninvasive, and noncontrast tool for the characterization of various brain masses. It augments the capabilities of traditional and advanced MRI techniques, providing a deeper understanding of the microstructural changes in brain tissues.
LSD-assisted therapy in patients with anxiety: open-label prospective 12-month follow-up
Authors: Holze Friederike , Gasser Peter , Müller Felix , Strebel Manuel , Liechti Matthias E. 
Published: July 2024

BackgroundAnxiety disorders are a major public health burden with limited treatment options.AimsWe investigated the long-term safety and efficacy of lysergic acid diethylamide (LSD)-assisted therapy in patients with anxiety with or without life-threatening illness.MethodThis study was an a priori-planned long-term follow-up of an investigator-initiated, two-centre trial that used a double-blind, placebo-controlled, two-period, random-order, crossover design with two sessions with either oral LSD (200 μg) or placebo per period. Participants (n = 39) were followed up 1 year after the end-of-study visit to assess symptoms of anxiety, depression and long-term effects of psychedelics using Spielberger's State-Trait Anxiety Inventory–Global (STAI-G), the Beck Depression Inventory (BDI), the Persisting Effects Questionnaire and measures of personality traits using the NEO-Five-Factor Inventory.ResultsParticipants reported a sustained reduction of STAI-G scores compared with baseline (least square means (95% CI) = −21.6 (−32.7, −10.4), d = 1.04, P < 0.001, for those who received LSD in the first period (94 weeks after the last LSD treatment) and −16.5 (−26.2, −6.8), d = 1.02, P < 0.05, for those who received LSD in the second period (68 weeks after the last LSD treatment)). Similar effects were observed for comorbid depression with change from baseline BDI scores of −8.1 (−13.2, −3.1), d = 0.71, P < 0.01, and −8.9 (−12.9, −4.9), d = 1.21, P < 0.01, for the LSD-first and placebo-first groups, respectively. Personality trait neuroticism decreased (P < 0.0001) and trait extraversion increased (P < 0.01) compared with study inclusion. Individuals attributed positive long-term effects to the psychedelic experience.ConclusionsPatients reported sustained long-term effects of LSD-assisted therapy for anxiety.
Paraneoplastic Diarrhea From Medullary Thyroid Carcinoma Resolved With Yttrium-90 Radioembolization of Liver Metastases
Authors: Hamidi Sarah , Mahvash Armeen , Hu Mimi I 
Published: July 2024

Abstract
Medullary thyroid carcinoma (MTC) can often have an indolent course despite distant metastatic disease. Additionally, given that metastatic MTC is incurable and systemic therapies have non-negligeable toxicities, localized treatments are often favored in presence of oligo-progressive disease. Transarterial radioembolization (TARE) with yttrium-90 (Y90) has emerged as a safe and efficacious treatment for nonresectable primary and metastatic liver tumors, yet data supporting its use in metastatic MTC are limited. We present the case of a patient with hereditary MTC and large bilobar liver metastases who demonstrated tumor response and resolution of their paraneoplastic diarrhea following TARE with Y90 microspheres.
Model of Arteriovenous Malformation Created in Human Placenta for Training in Vascular Microneurosurgery
Authors: Jiménez Luis Ángel Canache , Salvagni Felipe Pereira , Biondi-Soares Luis Gustavo , Apaza-Tintaya René Alejandro , Aguaisa Edgar David Tenelema , de Almeida Ildonete Rodrigues , Wuo-Silva Raphael , da Costa Marcos Devanir Silva , Sarti Talita Helena Martins , Chaddad-Neto Feres 
Published: July 2024

BACKGROUND AND OBJECTIVE:
Arteriovenous malformations (AVMs) are congenital lesions, and because of their structure, complexity, flow, size, and location organization, they are lesions that require extensive anatomic knowledge and mastery of microsurgical skills and techniques. Human placentas as a training model for AVM surgery are promising alternatives. This article aims to describe the technique for forming an AVM-type lesion in human placentas and its usefulness in the training of microsurgical treatment techniques.

METHODS:
In this study, 15 fresh human placental models were treated. A nidus was created using synthetic material, and dynamic flow was evaluated with intravascular injection of Indocyanine Green. The catheter system was connected to a continuous flow infusion pump. For simulation purposes, 4 vascular neurosurgeons and 4 vascular neurosurgery fellows used the same techniques and instruments used in real surgery to simulate the resection of AVM lesions. Subjective assessments were conducted, evaluating the validity and structured content on a 5-point Likert scale. Evaluation criteria included the execution of technical maneuvers and the model's expression and structural aspects.

RESULTS:
We describe the step-by-step creation of an AVM in a placental biological model for the performance of vascular microsurgery training in the laboratory. We created in the human placenta a lesion with the characteristics of an AVM for microsurgical training in the laboratory, which presents key features realistic to a real AVM, such as 1 or more feeder arteries, nidus (synthetic), draining vein(s), continuous and pulsatile flow, and 3-dimensional configuration. Furthermore, it demonstrates the applicability of microsurgical techniques to the model compared with performing surgery on a patient.

CONCLUSION:
Considering it an effective method for laboratory training, the creation of arteriovenous malformations in human placentas enables students to replicate, comprehend the structure, and master microsurgical techniques in a realistic model.
Learning Hidden Markov Models with Structured Transition Dynamics
Authors: Ma Simin , Dehghanian Amin , Garcia Gian-Gabriel , Serban Nicoleta 
Published: July 2024

The hidden Markov model (HMM) provides a natural framework for modeling the dynamic evolution of latent diseases. The unknown probability matrices of HMMs can be learned through the well-known Baum–Welch algorithm, a special case of the expectation-maximization algorithm. In many disease models, the probability matrices possess nontrivial properties that may be represented through a set of linear constraints. In these cases, the traditional Baum–Welch algorithm is no longer applicable because the maximization step cannot be solved by an explicit formula. In this paper, we propose a novel approach to efficiently solve the maximization step problem under linear constraints by providing a Lagrangian dual reformulation that we solve by an accelerated gradient method. The performance of this approach critically depends on devising a fast method to compute the gradient in each iteration. For this purpose, we employ dual decomposition and derive Karush–Kuhn–Tucker conditions to reduce our problem into a set of single variable equations, solved using a simple bisection method. We apply this method to a case study on sports-related concussion and provide an extensive numerical study using simulation. We show that our approach is in orders of magnitude computationally faster and more accurate than other alternative approaches. Moreover, compared with other methods, our approach is far less sensitive with respect to increases in problem size. Overall, our contribution lies in the advancement of accurately and efficiently handling HMM parameter estimation under linear constraints, which comprises a wide range of applications in disease modeling and beyond. History: Accepted by Paul Brooks, Area Editor for Applications in Biology, Medicine, & Healthcare. Funding: This research was funded by [Grant R01DE028283] from the National Institute of Dental and Craniofacial Research, National Institutes of Health. G.-G. Garcia was also funded by the Georgia Clinical & Translational Science Alliance National Institutes of Health award [Grant UL1-TR002378]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2022.0342 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2022.0342 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .
Comparative efficacy of 0.1% and 0.15% Sodium Hyaluronate on lipid layer and meibomian glands following cataract surgery: A randomized prospective study
Authors: Yang Seung Ahn , Jeong Mu Ryang , Park Cheon Ho , Cheon Ki Bum , Chang Jun Ho , Lee Ji Eun 
Published: July 2024

Purpose
To compare the efficacy of a 0.15% HA with that of 0.1% HA eye drops for DES after cataract surgery.

Methods
This study was double blinded, randomized and prospective study, and conducted in 69 participants (70 eyes) from Pusan National University Yangsan Hospital and executed from February 1, 2022 to November 30, 2022. Participants were adult cataract patients with normal lid position, not suffering from any other ocular disease and not meet the exclusion cirteria of clinical trial. Participants were randomly divided into two groups: 35 participants (17 males and 18 females) in the 0.1% HA group and 34 participants (19 males and 15 females) in the 0.15% HA group, receiving treatment six times daily for 6 weeks following cataract surgery. Subjective and objective assessments were performed at preoperative and postoperative visits, including ocular surface disease index score, tear break up time, corneal staining score, Schirmer’s I test score, lipid layer thickness), meiboscore, and biochemical analysis of the eye drops.

Results
Throughout the study, the postoperative ocular surface disease index score was significantly lower in the group receiving 0.15% hyaluronic acid than in the group receiving 0.1% hyaluronic acid. Additionally, the postoperative ocular surface disease index score showed a significant positive correlation with the postoperative use of 0.15% hyaluronic acid and the preoperative Schirmer’s I test score. In multivariate analysis, treatment with 0.15% hyaluronic acid and the preoperative ocular surface disease index score were significant independent parameters affecting the postoperative ocular surface disease index score.

Conclusion
The use of 0.15% hyaluronic acid is recommended for its potential advantages in alleviating symptoms following cataract surgery, making it a viable alternative to traditional 0.1% hyaluronic acid treatment.

Trial registration
ISRCTN95830348.
Development and Validation of a Clinical Nomogram for Predicting Complications From Pediatric Multiple Magnet Ingestion: A Large Retrospective Study
Authors: Luo Yizhen , Cui Xiongjian , Zhou Jianli , Zhuang Yijiang , Zheng Chenrui , Su Qiru , Gan Yungen , Li Zhiyong , Zeng Hongwu 
Published: July 2024

INTRODUCTION:
This study aimed to develop and validate a reliable nomogram based on clinical factors to predict complications associated with pediatric multiple magnet ingestion, addressing the urgency and controversy surrounding its management.

METHODS:
Patients aged 0–18 years with multiple magnet ingestion diagnosed at the Shenzhen Children's Hospital between January 2017 and December 2023 were enrolled. Clinical data were analyzed using least absolute shrinkage and selection operator regression and multifactor logistic regression analyses to screen for risk factors. A model was constructed, and a nomogram was plotted. Model performance was evaluated and internally validated using the area under the curve (AUC), Hosmer-Lemeshow test, calibration curve, decision curve analysis, and 1,000 bootstraps. We calculated the optimal cutoff value, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the prediction model.

RESULTS:
Of the 146 patients, 57 (39.0%) experienced complications. The nomogram included age, multiple ingestions, vomiting, abdominal pain, and abdominal tenderness. The AUC was 0.941, and the internally validated AUC was 0.930. The optimal cutoff value selected as a predictive value was 0.534, with a sensitivity of 82.5%, specificity of 93.3%, positive predictive value of 88.7%, negative predictive value of 89.3%, and accuracy of 89.0%. The Hosmer-Lemeshow test yielded a P value of 0.750. The calibration plot exhibited high consistency in prediction, and decision curve analysis showed excellent net benefits.

DISCUSSION:
Our nomogram demonstrates excellent discrimination, calibration, and clinical utility and may thus help clinicians accurately assess the risk of complications from pediatric multiple magnet ingestion.
Adjusting Mood in Mandarin Chinese: A Game Theory Approach to Double and Redundant Negation with Entropy
Authors: Sun Yanting , Kong Lingda 
Published: July 2024

Abstract
This study investigates how Mandarin Chinese speakers use double and redundant negations to adjust information entropy and convey the speaker’s mood. Integrating Gricean implicature, signaling game theory, and information entropy, we quantified uncertainty in negation sentences by calculating self-information of negation markers and overall entropy for negations versus affirmatives. Analyzing sentences from the BCC Corpus of Mandarin Chinese newspapers, we extracted double and redundant negation patterns, calculated their frequencies, and compared entropy values in payoff matrices against affirmatives. Contextual analysis of surrounding discourse interpreted pragmatic functions. Our findings reveal that universal double negations reduce sentence entropy, intensifying assertiveness. Modal forms further decrease entropy, amplifying necessity, while conditional patterns strengthen the asserted conditions. Euphemistic double negations increase entropy, weaken assertiveness, and align with Levinson’s Manner Principle. This increase in entropy quantifies pragmatic markedness, allowing tentative critiques. Redundant negations significantly reduce entropy, strengthening negative attitudes. We elucidate how interlocutors navigate cooperative discourse by quantifying uncertainty via entropy measures, making contextually-optimal linguistic choices like assertion, indirectness, and emphasis. These findings impact signaling game theory and pragmatic markedness, with applications in natural language processing, cross-cultural communication, and computational models. Future research could explore other languages and cognitive and social factors in negation use.
Design and optimization of two-stage controller for three-phase multi-converter/multi-machine electric vehicle
Authors: Jassim Arkan A. , Karam Ekhlas H. , Ali Mohammed Moanes E. 
Published: July 2024

AbstractElectric vehicles (EVs) cut greenhouse gas emissions and our use of non-renewable resources, making them more attractive. EVs have lower fuel and maintenance expenses than internal combustion engine automobiles. This study proposes a multi-converter/Multi‒Machine system with two induction motors (IM) that drive a pure EV’s rear wheels. EV two-stage controllers using a simple Adaline neural network (NN) regulate Field-Oriented regulate of a three-phase IM. To control IM speed, the first controller level is a hybrid proportional–integral (PI) with a robust integral sign of error (RISE) controller. Injection torque is controlled by PI‒adaline NN in the second controller step. The simple Adaline NN improves two-stage controller performance. The Multi-Verse Optimization algorithm found the ideal RISE parameter to improve EV drive system performance. A plug-in EV’s linear speed is controlled by the Electronic Differential Controller (EDC). It uses the driver’s reference speed and steering angle to set each driving wheel’s reference speed. EDC adjusts wheel speeds to enhance traction and stability during cornering, accelerating, and decelerating. Utilizing this information, the EDC can effectively distribute power and torque to the wheels, thereby enhancing vehicle handling and overall performance. Three distinct road scenarios and the designated driving route topology have been used to act and demonstrate the resistive forces that affected the EV while it was traveling down the road. By using Matlab (Simulink), EV’s roadworthiness and efficiency will be evaluated.
Illustrating a Jewish Life: Portrait Photography, Biography and the Creation of a Jewish Public Sphere
Authors: Grossmann Rebekka 
Published: July 2024

Abstract
Portrait photography is a fixed element in the history of German Jewry. This article asks what we can learn about a Jewish biography like that of the German–Jewish writer Sammy Gronemann by seeking to follow his life’s trajectories through the images he and others created of him and the appearances he coined. It argues that photography not only represented but also actively shaped his work as a writer and a Zionist politician and that it influenced the worlds he inhabited. It does so by situating Gronemann, the German Jew, in the history of German portrait photography, Gronemann, the Western Zionist, in the history of international Zionist image politics and Gronemann, the writer in the history of the creation of a visible cultural scene in the Yishuv and later Israel. Pondering Gronemann’s relationship with visual arts offers insights into the ways public visibility shaped German–Jewish realities both in Europe and in Palestine, both before and after the foundation of the State of Israel.
The neurobiological mechanisms underlying the effects of exercise interventions in autistic individuals
Authors: Tu Genghong , Jiang Nan , Chen Weizhong , Liu Lining , Hu Min , Liao Bagen 
Published: July 2024

Abstract
Autism spectrum disorder is a pervasive and heterogeneous neurodevelopmental condition characterized by social communication difficulties and rigid, repetitive behaviors. Owing to the complex pathogenesis of autism, effective drugs for treating its core features are lacking. Nonpharmacological approaches, including education, social-communication, behavioral and psychological methods, and exercise interventions, play important roles in supporting the needs of autistic individuals. The advantages of exercise intervention, such as its low cost, easy implementation, and high acceptance, have garnered increasing attention. Exercise interventions can effectively improve the core features and co-occurring conditions of autism, but the underlying neurobiological mechanisms are unclear. Abnormal changes in the gut microbiome, neuroinflammation, neurogenesis, and synaptic plasticity may individually or interactively be responsible for atypical brain structure and connectivity, leading to specific autistic experiences and characteristics. Interestingly, exercise can affect these biological processes and reshape brain network connections, which may explain how exercise alleviates core features and co-occurring conditions in autistic individuals. In this review, we describe the definition, diagnostic approach, epidemiology, and current support strategies for autism; highlight the benefits of exercise interventions; and call for individualized programs for different subtypes of autistic individuals. Finally, the possible neurobiological mechanisms by which exercise improves autistic features are comprehensively summarized to inform the development of optimal exercise interventions and specific targets to meet the needs of autistic individuals.