bluuebunny/crossref_metadata_2025_split huggingface dataset:
Atypical cancer risk profile in carriers of Italian founder BRCA1 variant p.His1673del: Implications for classification and clinical management
Authors: Innella Giovanni , Fortuno Cristina , Caleca Laura , Feng Bing‐Jian , Carroll Courtney , Parsons Michael T. , Miccoli Sara , Montagna Marco , Calistri Daniele , Cortesi Laura , Pasini Barbara , Manoukian Siranoush , Giachino Daniela , Matricardi Laura , Foti Maria Cristina , Zampiga Valentina , Piombino Claudia , Barbieri Elena , Lutati Francesca Vignolo , Azzolini Jacopo , Danesi Rita , Arcangeli Valentina , Caputo Sandrine M. , Boutry‐Kryza Nadia , Goussot Vincent , Hiraki Susan , Richardson Marcy ,   Hereditary Breast/Ovarian Cancer IOV network (HBOC IOVnet), Ferrari Simona , Radice Paolo , Spurdle Amanda B. , Turchetti Daniela 
Published: August 2024

AbstractBackgroundBRCA1:c.5017_5019del (p.His1673del) is a founder variant relatively frequent in Northern Italy. Despite previous suggestion of pathogenicity, variant classification in public databases is still conflicting, needing additional evidence.MethodsMaximum likelihood penetrance of breast/ovarian and other cancer types was estimated using full pedigree data from 53 informative Italian families. The effect of the variant on BRCA1‐ABRAXAS1 interaction was assessed using a GFP‐fragment reassembly‐based PPI assay. Results were combined with additional data from multiple sources to classify the variant according to ACMG/AMP classification rules specified for BRCA1/2.ResultsVariant‐carriers displayed increased risk for ovarian cancer (HR = 33.0, 95% CI = 7.0–155.0; cumulative risk at age 70 = 27.6%, 95% CI = 12.6–40.0%) but not for breast cancer (HR = 0.7, 95% CI = 0.2–2.2). An increased risk of uterine cancer (HR = 8.0, 95% CI = 1.03–61.6) emerged, warranting further evaluation. Likelihood‐ratio in favor of pathogenicity was 98898642.82 under assumption of standard BRCA1 breast and ovarian penetrance, and 104240832.84 after excluding breast cancer diagnoses (based on penetrance results). Functional analysis demonstrated that the variant abrogates the BRCA1‐ABRAXAS1 binding, supporting the PS3 code assignment within the ACMG/AMP rule‐based model. Collectively, these findings allowed to classify the variant as pathogenic.ConclusionPathogenicity of BRCA1:c.5017_5019del(p.His1673del) has been confirmed; however, breast cancer risk in Italian families is not increased, unlike in families from other countries and in carriers of most BRCA1 pathogenic variants. The knowledge of atypical risk profiles for this and other variants will pave the way for personalized management based on specific genotype.
Anogeissus Latifolia: A Comprehensive Review from Ethanobotanical Insights to Future Pharmacological Frontiers
Authors: Khan Sara , Ahsan Farogh , Mahmood Tarique , Bano Shahzadi 
Published: August 2024

AbstractAnogeissus latifolia, commonly known as Axlewood, Indian Gum Tree, or Gum Ghatti, belongs to the Combretaceae family and is native to India, Nepal, Myanmar, and Sri Lanka. It thrives in most tropical and subtropical regions of India. Different parts of the plant contain various proteins, carbohydrates, sugars (arabinose, galactose, mannose, xylose, rhamnose, and glucuronic acid), minerals (magnesium and calcium salts of ghattic acid), and a wide range of phytochemicals such as alkaloids, flavonoids, phenols, terpenoids, sterols, saponins, tannins, coumarins, quinine, and ellagic acid. Studies have indicated the potential of Anogeissus latifolia in managing various health conditions, including antimicrobial, anti‐inflammatory, anti‐diabetic, anti‐parasitic, antioxidant, hepatoprotective, wound healing, and hypolipidemic effects. However, like many medicinal plants, Anogeissus latifolia demonstrates a dose‐dependent toxicity profile, particularly when administered intraperitoneally. Research efforts have been directed towards elucidating its safety profile, and findings suggest that it can be considered safe when administered within prescribed dosages. This paper aims to provide a comprehensive review encompassing the ethnobotanical significance, morphological characteristics, phytochemistry, pharmacological actions, and toxicological aspects of Anogeissus latifolia. Additionally, it explores future research perspectives in the field of Anogeissus latifolia pharmacology and therapeutics.
Binding Mechanism of Nitro Musks to Human Lactoferrin: Multispectral Approach, Docking and Molecular Dynamics Simulation
Authors: Li Zemeng , Shi Mengjie , Liu Hongyan , Yi Zhongsheng , Mo Lingyun , Jiang Tiemin 
Published: August 2024

AbstractNitro musks are highly bioaccumulative and potentially carcinogenic, commonly used as additives in fabric softeners, detergents, and other household products. Furthermore, these substances have been detected in breast milk and human adipose tissue, posing a risk of direct exposure to pregnant women and infants. Human lactoferrin (HLF) is abundant in colostrum, and plays an important role in the non‐specific immune system of the human body. In this study, the mechanisms of action of two nitro musk compounds, typical examples of synthetic musks, with HLF were investigated using molecular docking, dynamics simulation and multispectral methods. The fluorescence findings demonstrated that nitro musks quenched the intrinsic fluorescence of human lactoferrin through static quenching. Thermodynamic analysis of the binding parameters suggested that hydrophobic interactions acted synergistically in the formation of the complex. Moreover, analyses utilizing multispectral techniques, such as Fourier transform infrared (FTIR) spectroscopy, validated that the microenvironment and structure of HLF were altered in the presence of nitro musks. Finally, molecular docking and molecular dynamics simulations were employed to explore the specific binding mode of nitro musks with HLF and to assess the stability of the complex. These findings may provide a reference for assessing health risks to pregnant women and infants.
A case of renal hypouricemia due to T217M mutation in SLC22A12 incidentally associated with IgA nephropathy
Authors: Sakurabu Yoshimasa , Uchida Haruhito A. , Tahara Toshihisa , Asakawa Tomohiko , Yamasaki Haruka , Katayama Katsuyoshi , Okamoto Shugo , Onishi Yasuhiro , Matsuoka‐Uchiyama Natsumi , Tanaka Keiko , Takeuchi Hidemi , Tsuji Kenji , Umebayashi Ryoko , Ohashi Yuki , Ichida Kimiyoshi , Wada Jun 
Published: August 2024

Key Clinical MessageA T217M heterozygous mutation in the SLC22A12 gene caused renal hypouricemia; this patient with IgA nephropathy had no findings other than IgA nephropathy on renal biopsy. Hypouricemia was susceptible to oxidative stress, but IgA nephropathy in the patient with hypouricemia could be treated with steroid pulse therapy without adverse events.
RETRACTED: Atypical presentation of polymicrobial cervicofacial necrotizing fasciitis: An extraordinary odontogenic infection in a healthy female patient
Authors: Khalil Basel , Borghol Ibrahim , Chaurasia Akhilanand 
Published: August 2024

Key Clinical MessageCervicofacial necrotizing fasciitis (CNF) can occur as a dental complication in young, healthy individuals. Early diagnosis, treatment, and awareness of severe acute cervicofacial pain, rapid swelling, and radiological gas formation are crucial. Broad molecular profiling is recommended for understanding the organisms involved in such infections in future research.
Minimally‐invasive excision of a scapular osteochondroma on the ventral surface: A case report and literature review
Authors: Wu Weifeng , Liao Shijie , Yang Fuchun 
Published: August 2024

Key Clinical MessageOsteochondroma on the ventral scapula is clinically rare and can incur pseudo‐winged scapula and snapping syndrome if not treated. In this regard, surgical excision is suggested, if possible, with a minimally invasive approach to accelerate physical recovery.AbstractOsteochondroma is a common benign bone tumor, characterized by a cartilage‐capped osseous protuberance with cortical and medullary continuity with the underlying native bone. Osteochondroma is commonly found in the long bones, such as the proximal humerus, distal femur, and proximal tibia, but rarely seen in flat bones. We report a case of pedunculated osteochondroma on the ventral surface of left scapula in a young adult woman. She presented with a slight pseudo‐winged scapula, occasional pain, and snapping sound with motion of the left shoulder. The tumor was surgically resected using a minimally invasive approach, and an excellent outcome was obtained.
Liquid–Liquid Equilibrium with Ab Initio Molecular Dynamics Simulation and NRTL Parameter Estimation
Authors: Jeong Su Yeong , Kim Byoung Chul , Kim Jeom Soo , Kim Young Han 
Published: August 2024

ABSTRACTIn this study, we propose a method for estimating liquid–liquid equilibrium with ab initio molecular dynamics (MD) simulation. Additionally, we determined the non‐random two‐liquid model parameters for the systems applicable to the extraction design using a commercial software. The minimized energy of separate liquid phases yielded equilibrium data from a more versatile procedure than the existing MD simulation. Although many experimental measurements with the parameters have been published, the parameters are not always compatible with the software. The performances are graphically illustrated for example systems including ionic liquid and deep eutectic solvent, and the results indicated that the proposed procedures of the estimation and the model parameter determination were satisfactory.
Photoinduced Metal‐Free Decarboxylative Fluoroalkylation of Alkenes for the Synthesis of N‐Arylbutanamides and Oxindoles
Authors: Ji Yi‐Gang , Li Zhuo‐Hong , Yang Yu‐Qing , Yang Xiaohu , Yang Wen‐Chao 
Published: August 2024

AbstractThe visible light‐induced decarboxylative cascade reaction of fluoroalkyl carboxylic acids has been achieved for the efficient synthesis of fluorinated compounds. However, most of the transformations rely on noble iridium metal complex. Herein, a visible light‐induced metal‐free decarboxylative cascade reaction of fluoroalkyl carboxylic acids has been realized. This protocol features simple operation, transition metal free, and good functional group tolerance.
Modeling stage‐discharge and sediment‐discharge relationships in data‐scarce Himalayan River Basin Dhauliganga, Central Himalaya, using neural networks
Authors: Rautela Kuldeep Singh , Gupta Vivek , Devi Juna Probha , Majeed Lone Rafiya , Kuniyal Jagdish Chandra 
Published: August 2024

AbstractThis study focuses on the hydro‐sedimentological characterization and modeling of the Dhauliganga River in Uttarakhand, India. Field data collected from 2018–2020, including stage, velocity, and suspended sediment concentration (SSC), showed notable variations influenced by melting snow, glaciers, and precipitation. Challenges in accurately modeling rivers with a topography and sparse gauging stations were addressed using artificial neural networks (ANN). The calibrated models precisely predicted stage‐discharge and sediment‐discharge relationships, demonstrating the effectiveness of machine learning, particularly ANN‐based modeling, in such challenging terrains. The model's performance was assessed using coefficient of determination (R2), root mean square error (RMSE), and mean square error (MSE). During the calibration phase, the model exhibited notable performance with R2 values of 0.96 for discharge and 0.63 for SSC, accompanied by low RMSE values of 5.29 cu m s–1 for discharge and 0.61 g for SSC. Subsequently, in the prediction phase, the model maintained its robustness, achieving R2 values of 0.97 for discharge and 0.63 for SSC, along with RMSE values of 5.67 cu m s–1 for discharge and 0.68 g for SSC. The study also found a strong agreement between water flow estimates derived from traditional methods, ANN, and actual measurements. The suspended sediment load, influenced by both water flow and SSC, varied annually, potentially modifying aquatic habitats through sediment deposition, and altering aquatic communities. These findings offer crucial insights into the hydro‐sedimentological dynamics of the studied river, providing valuable applications for sustainable water‐resource management in challenging terrains and addressing environmental concerns related to sedimentation, water quality, and aquatic ecosystem.
A comparison of machine learning methods for recovering noisy and missing 4D flow MRI data
Authors: Csala Hunor , Amili Omid , D'Souza Roshan M. , Arzani Amirhossein 
Published: August 2024

AbstractExperimental blood flow measurement techniques are invaluable for a better understanding of cardiovascular disease formation, progression, and treatment. One of the emerging methods is time‐resolved three‐dimensional phase‐contrast magnetic resonance imaging (4D flow MRI), which enables noninvasive time‐dependent velocity measurements within large vessels. However, several limitations hinder the usability of 4D flow MRI and other experimental methods for quantitative hemodynamics analysis. These mainly include measurement noise, corrupt or missing data, low spatiotemporal resolution, and other artifacts. Traditional filtering is routinely applied for denoising experimental blood flow data without any detailed discussion on why it is preferred over other methods. In this study, filtering is compared to different singular value decomposition (SVD)‐based machine learning and autoencoder‐type deep learning methods for denoising and filling in missing data (imputation). An artificially corrupted and voxelized computational fluid dynamics (CFD) simulation as well as in vitro 4D flow MRI data are used to test the methods. SVD‐based algorithms achieve excellent results for the idealized case but severely struggle when applied to in vitro data. The autoencoders are shown to be versatile and applicable to all investigated cases. For denoising, the in vitro 4D flow MRI data, the denoising autoencoder (DAE), and the Noise2Noise (N2N) autoencoder produced better reconstructions than filtering both qualitatively and quantitatively. Deep learning methods such as N2N can result in noise‐free velocity fields even though they did not use clean data during training. This work presents one of the first comprehensive assessments and comparisons of various classical and modern machine‐learning methods for enhancing corrupt cardiovascular flow data in diseased arteries for both synthetic and experimental test cases.
Blue Phase III from Bent‐Core Liquid Crystals: Unveiling Thermal Stability & Unique Traits – A Comprehensive Review
Authors: Khan Raj Kumar 
Published: August 2024

AbstractThis review article mainly delves into the comprehensive development, thermal stabilization, characteristics, and applications of Blue Phase III (BPIII) derived from non‐calamitic, mainly T‐shaped and bent‐core liquid crystals (BCLC). The discussion begins with discovering and characterizing various liquid crystal (LC) phases of BCLCs, emphasizing the significance of the nematic (N) phase in three and four‐ring BCLCs. Following this, the focus shifts to the stabilization, properties, and potential applications of BPIII, particularly those derived from non‐conventional (T‐shaped and BCLCs) liquid crystals. The review highlights the exceptional electro‐optical (E−O) properties of BPIII, including high Kerr constants and distinct phase transitions. Studies reveal the impact of chirality on thermal behavior, microscopic observations, and the influence of molecular structures on mesophase formation. Investigations into asymmetrical chiral liquid crystal diads and hydrogen‐bonded complexes underscore the importance of molecular design in expanding BPIII ranges. Furthermore, achiral unsymmetrical BCLC designs reveal significant insights into the interplay between molecular structure, phase transitions, and E−O behavior. Experimental data propose that BPIII operates as a topologically protected liquid featuring skyrmion filaments, highlighting its potential in technological applications. Additionally, the structural transformation and E−O properties of highly polar BCLCs are examined to stabilize BPIII at room temperature, achieving notable Kerr constants and low voltage requirements. These collective studies provide a thorough understanding of BPIII and its promising applications in materials science and technology.
Utilizing Alfalfa as an Alternative Nitrogen Source in Improving Bermudagrass Grazing Systems in the Southeastern United States
Authors: Burt Justin 
Published: August 2024

AbstractThe environmental conditions of the Coastal Plains region of the United States provides livestock producers with unique forage production opportunities that may not be experienced nationwide. While the environmental conditions are favorable for forage production, and longer growing seasons, the rising cost associated with livestock production has producers seeking alternative ways to increase productivity while also reducing external input costs, specifically those associated with feeding livestock. Earn 0.5 CEUs in Crop Management by reading this article and taking the quiz at https://web.sciencesocieties.org/Learning‐Center/Courses.
Air‐Stable Boranes and Borinanes Encapsulated in Organogels for Anionic Ring‐Opening (Co)Polymerization
Authors: Chidara Vamshi , Gnanou Yves , Feng Xiaoshuang 
Published: August 2024

AbstractOrganoborane reagents play a pivotal role as Lewis acids in acid‐base pairs used in anionic polymerization and in other reactions; yet their high sensitivity to oxygen and moisture necessitates effective stabilization to prevent their oxidation and thus maintain their catalytic activity. In this study, we present novel encapsulation methods employing a cost‐effective hexatriacontane (C36H74, C36) organogel to stabilize sensitive organoborane reagents, including triethyl borane (TEB) and a borinane‐based ammonium salt (B3NBr). These organoboranes encapsulated in stable, self‐standing organogel blocks enable their safe handling in open laboratory environments without the need for a glovebox. Upon heating such borane‐containing organogel blocks organoboranes could be freed from the organogel and used to mediate both the homopolymerization of propylene oxide (PO) and the copolymerization of PO with CO2. Furthermore, efficient recovery of the C36 gelator from polymerization mixtures is achieved, with mass recovery ranging from 70 % to 90 %. This encapsulation method offers a practical and efficient solution for stabilizing, storing, and handling highly reactive organoborane reagents, thereby broadening their applicability and utilization in various chemical transformations.
Phase Engineering of ZnSe by Small Molecules as a High‐Performance Protective Layer for Zn Anode
Authors: Guo Yanan , Zhang Miaomiao , Yan Ping , Jiang Longtai , Dong Anqi , Yu Xin‐Yao 
Published: August 2024

AbstractThe practical application of aqueous zinc ion batteries is still hampered by the side reactions and dendrite growth on Zn anode. Herein, the phase engineering of ZnSe coating layer by incorporating small molecules is developed to enhance the performance of Zn anode. The unique electronic structure of ZnSe⋅0.5N2H4 promises strong adsorption for Zn atoms and enhanced ability to inhibit hydrogen evolution, thereby promoting uniform Zn deposition and preventing by‐product and dendrite growth. Meanwhile, fast Zn2+ transfer and deposition kinetics are also demonstrated by ZnSe⋅0.5N2H4. As a result, the ZnSe⋅0.5N2H4@Zn symmetric cell achieves long‐term cycling stability up to 1900 h and 300 h at high current densities of 5 mA cm−2 and 20 mA cm−2, respectively. The assembled ZnSe⋅0.5N2H4@Zn||NH4V4O10 full cell presents outstanding cycling stability and rate capability. This work highlights the key role of crystal phase control of protective layer for high‐performance zinc anode.
Developmental Changes in How Head Orientation Structures Infants’ Visual Attention
Authors: Franchak John M. , Smith Linda , Yu Chen 
Published: August 2024

ABSTRACTMost studies of developing visual attention are conducted using screen‐based tasks in which infants move their eyes to select where to look. However, real‐world visual exploration entails active movements of both eyes and head to bring relevant areas in view. Thus, relatively little is known about how infants coordinate their eyes and heads to structure their visual experiences. Infants were tested every 3 months from 9 to 24 months while they played with their caregiver and three toys while sitting in a highchair at a table. Infants wore a head‐mounted eye tracker that measured eye movement toward each of the visual targets (caregiver's face and toys) and how targets were oriented within the head‐centered field of view (FOV). With age, infants increasingly aligned novel toys in the center of their head‐centered FOV at the expense of their caregiver's face. Both faces and toys were better centered in view during longer looking events, suggesting that infants of all ages aligned their eyes and head to sustain attention. The bias in infants’ head‐centered FOV could not be accounted for by manual action: Held toys were more poorly centered compared with non‐held toys. We discuss developmental factors—attentional, motoric, cognitive, and social—that may explain why infants increasingly adopted biased viewpoints with age.
Overweight and Obesity in People Living With Type 1 Diabetes: A Cross‐Sectional Analysis of the BETTER Registry
Authors: Lalanne‐Mistrih Marie‐Laure , Bonhoure Anne , Messier Virginie , Boudreau Valérie , Lebbar Maha , Talbo Meryem K. , Sun Cathy J. , Bandini Aude , Secours Laurence , Calderon Virginie , Grou Caroline , Tressières Benoit , Brazeau Anne‐Sophie , Rabasa‐Lhoret Rémi 
Published: August 2024

ABSTRACTAimsThe prevalence and associations of overweight and obesity in Canadian adult people living with type 1 diabetes (PWT1D) are poorly documented. In a cohort of PWT1D patients, this study assesses (i) overweight and obesity frequencies and associated PWT1D clinicodemographic characteristics, (ii) diabetes characteristics, and (iii) the use of noninsulin adjunctive agents.Materials and MethodsCross‐sectional analysis of self‐reported data from the BETTER registry: 1091 adult PWT1D (aged 44.4 ± 15.0 years; 32% HbA1c<7% [53 mmol/mol]) classified by BMI classes: underweight combined with normal weight, overweight, or obesity. Bivariate analyses were used to identify associations between BMI classes, diabetes characteristics, complications, and treatments.ResultsOverweight and obesity affected 34.6% and 19.8% of participants. Compared to underweight + normal weight, PWT1D with overweight/obesity was associated with male sex, higher age, lower education level, longer diabetes duration, and higher total insulin doses and use of cardiorenal therapies (all p < 0.001). Compared to other PWT1D, those living with obesity reported higher HbA1c (p < 0.05), less frequent hypoglycemia (p < 0.05), more cardiovascular diseases (p < 0.003), retinopathy, neuropathy, depression treatment as well as noninsulin adjunctive agent use (all p < 0.001). Logistic regression showed that living with overweight/obesity was associated with male sex, being treated for cardiorenal therapies, depression, diabetes duration, and total daily insulin doses.ConclusionsOverweight or obesity affects over half of adult PWT1D in the Canadian BETTER registry and is associated with higher HbA1c levels, higher total daily insulin doses, more chronic diabetes complications and noninsulin adjunctive agent use, a worse cardiometabolic profile, and lower hypoglycemia frequency.