bluuebunny/crossref_metadata_2025_split huggingface dataset:
Child Abuse and Neglect and Obsessive–Compulsive Personality Traits: Effects of Attachment, Intolerance of Uncertainty, and Metacognition
Authors: Gray Emily , Sweller Naomi , Boag Simon 
Published: July 2024

AbstractChild Abuse and Neglect (CAN) is extensively implicated as a risk factor preceding the development of Obsessive–Compulsive Personality Traits (OCPT). Nevertheless, the majority of individuals with a history of CAN do not go on to develop OCPT. To date, little research has investigated potential model networks that may help contribute to explaining why CAN sometimes leads to OCPT and not at other times. Thus, this study aimed to investigate whether attachment-anxiety, intolerance of uncertainty, and metacognition have indirect effects in the association between CAN and OCPT in various network models. Undergraduate psychology students (N = 291) participated in an anonymous 30-min online survey consisting of a series of self-report questionnaires regarding child abuse and neglect, attachment, intolerance of uncertainty, metacognition, OCPT, and depression. Bootstrapped serial mediation revealed attachment-anxiety and intolerance of uncertainty had a serial-mediation effect in the association between CAN and OCPT. Serial mediation was not found for metacognition and attachment-anxiety. However, metacognition alone mediated between child emotional abuse and OCPT. These findings expand our currently limited knowledge regarding the etiology of OCPT and suggest that attachment-anxiety, intolerance of uncertainty, and metacognition may be important contributors for understanding the development of OCPT following CAN exposure. The potential clinical utility for both assessment and treatment are discussed.
Electromagnetic properties of coal using microstrip and an algorithm based on the Nicolson-Ross-Weir method
Authors: Mancipe-Huérfano David Leonardo , García-Cáceres Rafael Guillermo 
Published: July 2024

AbstractThe work implements an experimental methodology to find the dielectric parameters: electrical permittivity, effective permittivity, magnetic permeability, conductivity, absorption coefficient, impedance, and loss tangent of bituminous coal from the municipality of Morcá and Tópaga belonging to the Sogamoso-Jericó sub-basin of the Guaduas formation, one of the most important coal reserves in Colombia. The methodology, known for its efficiency, includes constructing a microstrip-type circuit, measuring scattering parameters or S-parameters at frequencies between 300 kHz and 1 GHz with a vector network analyzer, and extracting electromagnetic properties using the Nicolson-Ross-Weir algorithm. The implemented algorithm allowed us to see the behavior of the coal in a fraction of the ultra-high frequency band and to find quickly and easily the approximate values of the parameters as a function of frequency, which are very important for investigations in mathematical modeling and computational electromagnetics. The results show that the real and imaginary components of the relative dielectric permittivity decrease with increasing frequency, and the absorption coefficient and the loss tangent of the coal increase as a function of frequency, indicating that the coal behaves as a dissipative dielectric.
Chemical approaches for fabrication of self-healing polymers
Authors: Zafeer Mohd. Khalid , Bhat K. Subrahmanya 
Published: July 2024

AbstractIn recent years, significant progress has been made in the development of polymeric materials, driving rapid expansion in associated industries and a surge in plastic production and usage. Consequently, the substantial generation of plastic waste has raised environmental concerns. One critical issue is the tendency of polymers to degrade over time, leading to disposal. Introducing self-healing systems capable of autonomously repairing damage caused by external factors can extend material lifespan, offering an effective means to mitigate polymer waste. The concept of self-healing draws inspiration from the regenerative abilities of living organisms. Extensive research over the past decade has led to significant advancements in self-healing materials, which can naturally repair and regain functionality using accessible resources. Various approaches, including physical, chemical, and physio-chemical methods, are employed in self-healing polymers. These self-healing mechanisms can be autonomic or triggered by external stimuli such as heat, solvent, or pressure. From thermosets to thermoplastics to elastomers, polymers of all types can exhibit self-healing properties. This review article delves into chemical approaches of fabricating self-healing synthetic polymers, focusing primarily on covalently cross-linked polymers with an emphasis on the Diels–Alder reaction. Additionally, the review offers a comprehensive discussion and compilation of different research works concerning other chemical approaches used in polymer self-healing.
The Daily Report Card and Check-in/Check-out: A Commentary About Two Siloed Interventions
Authors: Owens Julie Sarno , Margherio Samantha , Dillon Cara , Evans Steven W. , Rew Hannah Grace , Hustus Chelsea , Pickel Christie 
Published: July 2024

AbstractCheck-In/Check-Out (CICO) and the Daily Report Card intervention (DRC) are well-researched interventions designed to reduce challenging student behavior and improve academic and behavioral functioning. Yet each intervention has been studied within siloed literatures and their similarities and differences are not well understood by many educators. The goals of this commentary are to (1) highlight the similarities and differences between these interventions; (2) help educators and researchers understand the value of both interventions; and (3) stimulate conversation, innovative thinking, and new research that serves to reduce rather than reinforce the existing silos.
Quinoa and its Co-Products as Ingredients for the Development of Dairy Analogs and Hybrid Dairy Products
Authors: Fernández-López Juana , Ponce-Martínez Angel J. , Rodríguez-Párraga Judith , Lucas-González Raquel , Viuda-Martos Manuel , Pérez-Alvarez José A. 
Published: July 2024

Abstract
Purpose of Review
This review intends to explore the potential of quinoa and its co-products as ingredients to alternative dairy foods (plant-based and hybrids) contributing to a more sustainable food future. Specifically, it aims to discuss their processing technologies to obtain food ingredients, their functional properties and their potential application in the development of plant-based and hybrid dairy products as alternatives to traditional dairy products.

Recent Findings
Dairy analogs (plant-based and hybrids) are flooding the market with soy being the main ingredient. However, the market is likely to gravitate towards alternative plants to fulfill consumers' needs and desires for healthy, flavorful and intriguing products. In this context, aspects such as allergy-free and gluten-free products become increasingly important and quinoa meet these requirements. There are many studies that highlight not only its nutritional value but also the sustainability of its cultivation. In addition, quinoa industrialization generates important co-products that can be suitably processed and reused in the elaboration of these hybrid and dairy analogues.

Summary
This concise review highlights the potential of quinoa and its co-products for the development of healthy and taste dairy analogs (plant-based and hybrids). It emphasizes the wide variety of quinoa derived products that can be obtained and their application in the development of quinoa-based dairy analogs.
Dental management of Fanconi anemia: a rare congenital disorder
Authors: Dias Jacqueline Jacinta , Gupta Ankit , Shreehari A. K. 
Published: July 2024

Abstract
Purpose
Fanconi anemia is a rare inherited genetic disorder that is characterized by all three defective blood cell lines such as reduced red blood cells, platelets, and white blood cells. This makes the individual susceptible to spontaneous oral bleeding and prone to oral infections including periodontal diseases.

Method
Dental management of individuals with Fanconi anemia can be a difficult task as these individuals have a tendency for uncontrolled hemorrhage and infections after any simple dental procedure. This case report highlights the oral manifestations and management of the same in such individuals taking into consideration the complications in such rare diseases.

Result
In this case report, the individuals’ oral manifestations and spontaneous oral bleeding were successfully managed by preventive single-donor platelet transfusion, factor VII transfusion, and local tranexamic acid usage during the dental interventions along with parental counseling.

Conclusion
Fanconi anemia being a rare inherited disorder is often difficult to manage due to a lack of knowledge and awareness among the dental clinicians. This case report attempts in highlighting the same and spreading awareness among the clinicians.
Detecting Transient Uplift at the Active Volcano Ol Doinyo Lengai in Tanzania With the TZVOLCANO Network
Authors: Daud Ntambila , Stamps D. Sarah , Ji Kang‐Hyeun , Saria Elifuraha , Huang Mong‐Han , Adams Aubreya 
Published: July 2024

AbstractOver the last 7 years, geodetic data have detected periods of uplift and subsidence of the active volcano Ol Doinyo Lengai in Tanzania. Although numerous eruptions of the volcano have occurred historically, a systematic investigation of transient deformation using continuous Global Navigation Satellite System (GNSS) data has not been undertaken. We use the Targeted Projection Operator (TPO) to assess 7 years of continuous GNSS data from the TZVOLCANO network for transient signals and find rapid uplift spanning March 2022–December 2022 and then steady‐state uplift through August 2023. We conduct a nonlinear inversion of the GNSS velocities associated with the transient signal using dMODELS and find consistency with an inflating spheroidal source located 2.3 ± 0.6 km beneath the crater. Prior to March 2022, geodetic data indicated quiescence just below Ol Doinyo Lengai, thus detecting transient deformation with TPO allows for tracking changes in the magmatic system over time in the Natron Rift.
Topography‐Enhanced Ultra‐Cold Trapping at the LCROSS Impact Site
Authors: Hayes C. W. , Minton D. A. , Kloos J. L. , Moores J. E. 
Published: July 2024

AbstractSmall topographic features below the resolution of existing orbital data sets may create “micro ultra‐cold traps” within the larger permanently shadowed regions that are present at the lunar poles. These ultra‐cold traps are protected from the major primary and secondary illumination sources, and thus would create surfaces that are much colder than lower‐resolution temperature maps would indicate. We examine this effect by creating a high resolution (1 m pix−1) terrain map based on upscaled data from the Lunar Orbiter Laser Altimeter. This map is illuminated by scattered sunlight and infrared emissions from sunlit terrain, which are then run through a thermal model to determine temperatures. We find that while most of the terrain experiences maximum temperatures around 50 K, there are a number of 1–30 m‐scale ultra‐cold traps with maximum temperatures as low as 20–30 K. By comparing our modeled ultra‐cold trapping area to volatile abundances measured by Lunar Crater Observation and Sensing Satellite (LCROSS), we reveal a diverse environment where the surficial abundances necessary to explain the LCROSS results are strongly dependent on precisely where the impact occurred.
Direct Observations of Magnetic Reconnections at the Magnetopause of the Martian Mini‐Magnetosphere
Authors: Lin R. T. , Huang S. Y. , Yuan Z. G. , Jiang K. , Wu H. H. , Xiong Q. Y. 
Published: July 2024

AbstractWhile Mars lacks a global intrinsic magnetic field, it does exhibit crustal magnetic anomalies (mostly in its Southern Hemisphere). These crustal magnetic anomalies directly interact with solar wind, which forms a mini‐magnetosphere and a region denoted the mini‐magnetopause. Using magnetic field and plasma measurements from the Mars Atmosphere and Volatile Evolution, we report a novel case of magnetic reconnection at the Martian mini‐magnetopause. In this process, protons and oxygen ions from the Martian atmosphere were accelerated during reconnection and likely escaped along the outflow direction. Magnetic reconnection may occur between the interplanetary magnetic field and crustal magnetic fields at the Martian mini‐magnetopause, which contributes to planetary ion escape, solar wind entering the mini‐magnetosphere and the evolution of magnetic topology in the dayside Martian mini‐magnetosphere.
Multi‐Frequency SuperDARN Interferometer Calibration
Authors: Thomas E. G. , Shepherd S. G. , Chisham G. 
Published: July 2024

AbstractThe ground‐based, high‐frequency radars of the Super Dual Auroral Radar Network (SuperDARN) observe backscatter from ionospheric field‐aligned plasma irregularities and features on the Earth's surface out to ranges of several thousand kilometers via over‐the‐horizon propagation of transmitted radio waves. Interferometric techniques can be applied to the received signals at the primary and secondary antenna arrays to measure the vertical angle of arrival, or elevation angle, for more accurate geolocation of SuperDARN observations. However, the calibration of SuperDARN interferometer measurements remains challenging for several reasons, including a 2π phase ambiguity when solving for the time delay correction factor needed to account for differences in the electrical path lengths between signals received at the two antenna arrays. We present a new technique using multi‐frequency ionospheric and ground backscatter observations for the calibration of SuperDARN interferometer data, and demonstrate its application to both historical and recent data.
Non-convex optimization for inverse problem solving in computer-generated holography
Authors: Sui Xiaomeng , He Zehao , Chu Daping , Cao Liangcai 
Published: July 2024

AbstractComputer-generated holography is a promising technique that modulates user-defined wavefronts with digital holograms. Computing appropriate holograms with faithful reconstructions is not only a problem closely related to the fundamental basis of holography but also a long-standing challenge for researchers in general fields of optics. Finding the exact solution of a desired hologram to reconstruct an accurate target object constitutes an ill-posed inverse problem. The general practice of single-diffraction computation for synthesizing holograms can only provide an approximate answer, which is subject to limitations in numerical implementation. Various non-convex optimization algorithms are thus designed to seek an optimal solution by introducing different constraints, frameworks, and initializations. Herein, we overview the optimization algorithms applied to computer-generated holography, incorporating principles of hologram synthesis based on alternative projections and gradient descent methods. This is aimed to provide an underlying basis for optimized hologram generation, as well as insights into the cutting-edge developments of this rapidly evolving field for potential applications in virtual reality, augmented reality, head-up display, data encryption, laser fabrication, and metasurface design.
Involvement of Kindlin-1 in cutaneous squamous cell carcinoma
Authors: Carrasco Giovana , Stavrou Ifigeneia , Treanor-Taylor Mairi , Beetham Henry , Lee Martin , Masalmeh Roza , Carreras-Soldevila Artur , Hardman David , Bernabeu Miguel O. , von Kriegsheim Alex , Inman Gareth J. , Byron Adam , Brunton Valerie G. 
Published: July 2024

AbstractKindler syndrome (KS) is a rare genodermatosis resulting from loss-of-function mutations in FERMT1, the gene that encodes Kindlin-1. KS patients have a high propensity to develop aggressive and metastatic cutaneous squamous cell carcinoma (cSCC). Here we show in non-KS-associated patients that elevation of FERMT1 expression is increased in actinic keratoses compared to normal skin, with a further increase in cSCC supporting a pro-tumorigenic role in this population. In contrast, we show that loss of Kindlin-1 leads to increased SCC tumor growth in vivo and in 3D spheroids, which was associated with the development of a hypoxic tumor environment and increased glycolysis. The metalloproteinase Mmp13 was upregulated in Kindlin-1-depleted tumors, and increased expression of MMP13 was responsible for driving increased invasion of the Kindlin-1-depleted SCC cells. These results provide evidence that Kindlin-1 loss in SCC can promote invasion through the upregulation of MMP13, and offer novel insights into how Kindlin-1 loss leads to the development of a hypoxic environment that is permissive for tumor growth.
Serum dysregulation of serine and glycine metabolism as predictive biomarker for cognitive decline in frail elderly subjects
Authors: Imarisio Alberto , Yahyavi Isar , Gasparri Clara , Hassan Amber , Avenali Micol , Di Maio Anna , Buongarzone Gabriele , Galandra Caterina , Picascia Marta , Filosa Asia , Monti Maria Cristina , Pacchetti Claudio , Errico Francesco , Rondanelli Mariangela , Usiello Alessandro , Valente Enza Maria 
Published: July 2024

AbstractFrailty is a common age-related clinical syndrome characterized by a decline in the function of multiple organ systems, increased vulnerability to stressors, and a huge socio-economic burden. Despite recent research efforts, the physiopathological mechanisms underlying frailty remain elusive and biomarkers able to predate its occurrence in the early stages are still lacking. Beyond its physical component, cognitive decline represents a critical domain of frailty associated with higher risk of adverse health outcomes. We measured by High-Performance Liquid Chromatography (HPLC) a pool of serum amino acids including L-glutamate, L-aspartate, glycine, and D-serine, as well as their precursors L-glutamine, L-asparagine, and L-serine in a cohort of elderly subjects encompassing the entire continuum from fitness to frailty. These amino acids are known to orchestrate excitatory and inhibitory neurotransmission, and in turn, to play a key role as intermediates of energy homeostasis and in liver, kidney, muscle, and immune system metabolism. To comprehensively assess frailty, we employed both the Edmonton Frail Scale (EFS), as a practical tool to capture the multidimensionality of frailty, and the frailty phenotype, as a measure of physical function. We found that D-serine and D-/Total serine ratio were independent predictors of EFS but not of physical frailty. Furthermore, higher levels of glycine, glycine/L-serine and D-/Total serine were associated with worse cognition and depressive symptoms in the frail group. These findings suggest that changes in peripheral glycine and serine enantiomers homeostasis may represent a novel biochemical correlate of frailty.
Occipital-temporal cortical tuning to semantic and affective features of natural images predicts associated behavioral responses
Authors: Abdel-Ghaffar Samy A. , Huth Alexander G. , Lescroart Mark D. , Stansbury Dustin , Gallant Jack L. , Bishop Sonia J. 
Published: July 2024

AbstractIn everyday life, people need to respond appropriately to many types of emotional stimuli. Here, we investigate whether human occipital-temporal cortex (OTC) shows co-representation of the semantic category and affective content of visual stimuli. We also explore whether OTC transformation of semantic and affective features extracts information of value for guiding behavior. Participants viewed 1620 emotional natural images while functional magnetic resonance imaging data were acquired. Using voxel-wise modeling we show widespread tuning to semantic and affective image features across OTC. The top three principal components underlying OTC voxel-wise responses to image features encoded stimulus animacy, stimulus arousal and interactions of animacy with stimulus valence and arousal. At low to moderate dimensionality, OTC tuning patterns predicted behavioral responses linked to each image better than regressors directly based on image features. This is consistent with OTC representing stimulus semantic category and affective content in a manner suited to guiding behavior.
N-heterocyclic carbene-catalyzed atroposelective synthesis of N-Aryl phthalimides and maleimides via activation of carboxylic acids
Authors: Barik Soumen , Ranganathappa Sowmya Shree , Biju Akkattu T. 
Published: July 2024

AbstractTraditionally, N-aryl phthalimides are synthesized by the condensation of phthalic anhydride and aniline derivatives, usually proceeding under harsh conditions. The alternative mild and organocatalytic strategies for their synthesis are underdeveloped. Herein, we demonstrate the organocatalytic atroposelective synthesis of N-aryl phthalimides via the traditional N-CC=O disconnection under mild conditions. The in-situ acid activation of phthalamic acid and subsequent N-heterocyclic carbene (NHC)-catalyzed atroposelective amidation allowed the synthesis of well-decorated N-aryl phthalimides in excellent yields and enantioselectivities. Mechanistic studies reveal the addition of NHC to the in situ generated isoimides, thus introducing a unique mode of generating acylazoliums. Interestingly, both enantiomers of the product can be accessed from the same phthalic anhydride and aniline using the same NHC pre-catalyst. Moreover, this strategy has been extended to the atroposelective synthesis of N-aryl maleimides.
Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations
Authors: Song Shuang , Wang Lijun , Hou Lin , Liu Jun S. 
Published: July 2024

AbstractTWAS have shown great promise in extending GWAS loci to a functional understanding of disease mechanisms. In an effort to fully unleash the TWAS and GWAS information, we propose MTWAS, a statistical framework that partitions and aggregates cross-tissue and tissue-specific genetic effects in identifying gene-trait associations. We introduce a non-parametric imputation strategy to augment the inaccessible tissues, accommodating complex interactions and non-linear expression data structures across various tissues. We further classify eQTLs into cross-tissue eQTLs and tissue-specific eQTLs via a stepwise procedure based on the extended Bayesian information criterion, which is consistent under high-dimensional settings. We show that MTWAS significantly improves the prediction accuracy across all 47 tissues of the GTEx dataset, compared with other single-tissue and multi-tissue methods, such as PrediXcan, TIGAR, and UTMOST. Applying MTWAS to the DICE and OneK1K datasets with bulk and single-cell RNA sequencing data on immune cell types showcases consistent improvements in prediction accuracy. MTWAS also identifies more predictable genes, and the improvement can be replicated with independent studies. We apply MTWAS to 84 UK Biobank GWAS studies, which provides insights into disease etiology.