bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unraveling the Genetic Landscape of Hearing Loss: A Comprehensive Study of Azeri Families in Ardabil, Iran
Authors: Mohseni Marzieh , Ashrafi Farzane Zare , Abbaspour Rodbaneh Ehsan , Mokabber Haleh , Vafaei Maryam , Nobakht Ramiz , Keshavarzi Fatemeh , Arzhangi Sanaz , Arish Sara , Azar Zahra Nematollahi , Kahrizi Kimia , Najmabadi Hossein , Davarnia Behzad 
Published: February 2025

ABSTRACTBackgroundHereditary hearing loss (HHL) is a clinically and genetically heterogeneous sensorineural disorder that presents challenges for diagnosis. Next‐generation sequencing (NGS) approaches have facilitated a more cost‐effective, streamlined diagnostic process. This study aimed to identify HHL variants using NGS in Iranian Azeri families in Ardabil Province, establishing a suitable framework for screening programs tailored to the local population.MethodsSeventy‐four GJB2‐negative Azeri families with HHL from Ardabil Province of Iran were studied using the OtoSCOPE panel and/or exome sequencing over 15‐years from 2008 to 2023.ResultsData analysis revealed 53 HHL variants in 52 of the 74 most consanguineous families (70%), including 34 pathogenic/likely pathogenic variants and 19 variants of uncertain significance. Seventeen of the detected variants were novel. SLC26A4, MYO7A, USH2A, and TMPRSS3 were the most prevalent mutated genes for non‐syndromic hearing loss (NSHL) and syndromic hearing loss (SHL) in this study.ConclusionOur results are comparable to those of previous studies, indicating that SLC26A4 is the second most common cause of HHL, after GJB2. Moreover, our study emphasizes the significance of understanding the genetic basis of HL for early diagnosis and the implementation of suitable screening programs for various ethnicities in Iran.
A Broadband Magnetoelectric Dipole Reflectarray Antenna at Ku‐Band
Authors: Lv Weiwei , Ding Haibing , Song Wenke , Wang Jing , Zhang Bin , Luo Yuanzhe , Xue Qianzhong 
Published: February 2025

ABSTRACTIn this letter, a broadband reflectarray (RA) antenna operating at Ku‐band is proposed for wireless communication systems. Because the magnetoelectric (ME) dipole antennas have excellent low profile and wide impedance bandwidth performance, a multilayer wideband element is proposed based on a ME dipole and a true‐time delay line. In addition, the elements achieve smooth and linear phase shift curves while maintaining high reflection amplitude over the operating frequency range. Next, employing the above element, a broadband linearly polarized RA antenna with a square aperture is designed and fabricated. The measured results show that the peak gain of the proposed antenna is 27.2 dBi, and the aperture efficiency is 45.3%. Besides, the 1 dB gain bandwidth is 27.5% from 14.4 to 18.8 GHz. The proposed RA antenna has the potential for broadband applications in wireless communication systems.
Miniaturized Wideband Unequal Four‐Way Filtering Power Divider Using Asymmetric Three‐Coupled Lines
Authors: Chen Shuyi , Liu Hongmei , Wang Yang , Zhao Chengcheng , Wang Zhongbao 
Published: February 2025

ABSTRACTFor the first time, a miniaturized wideband four‐way unequal filtering power divider (FPD) based on asymmetric three‐coupled lines (A‐TCLs) is proposed. Two stepped‐impedance resonators (SIR) are loaded on the A‐TCL for enhancing the frequency selectivity and out‐of‐band rejection. Besides, two types of resistors are loaded for good output impedance matchings and isolations. Design equations are derived by combining the methods of even‐odd mode decomposition and voltage‐current analysis. For validation, a prototype with a power division ratio of 1.8:1:1:1.8 is designed. Measurements show that an overlapped bandwidth of more than 60% is obtained with low insertion loss, large out‐of‐band rejection and high frequency selectivity. In addition, the overall size is 0.43λg × 0.32λg, which is the smallest one in the state‐of‐the‐art four‐way FPDs.
Manganese restriction in parenteral nutrition for preterm neonates: A pilot randomized controlled trial
Authors: Sauberan Jason B. , Katheria Anup C. 
Published: February 2025

AbstractBackgroundManganese (Mn) is present in many parenteral nutrition (PN) ingredients, presumably as a contaminant during ingredient manufacturing. Exposure to Mn in PN may have negative health consequences in preterm neonates. The purpose of this study was to test the feasibility and safety of not adding supplemental Mn to PN prepared for extremely preterm and very preterm neonates compared with standard Mn supplementation.MethodsNeonates <32 weeks' gestational age were randomized on postnatal day 1 to receive test PN prepared without adding Mn or standard PN prepared with Mn 5 mcg/kg/day using a commercially available neonatal multitrace element product. Randomization assignment was blinded to the clinical team. Whole blood Mn levels were measured at baseline, 2 weeks, and 8 weeks postnatal age. Growth parameters and nutrition intake were also collected.ResultsTwenty‐six participants were enrolled and nineteen completed the trial. The median duration of PN was 11 days in the no Mn group and 12 days in the standard Mn group. Whole blood Mn levels were not significantly different between the two groups at any time point. Growth and nutrition outcomes were also not significantly different between the two groups.ConclusionsThe provision of no‐added‐Mn PN in routine care was feasible and did not alter Mn blood levels or growth in the first 8 weeks of postnatal age compared with standard PN.
Hyperthermic Core‐Shell Silver‐Gold Nanoparticles: Green Synthesis and Adsorption‐Uptake by Macrophages, Fibroblasts and Cancer Cells
Authors: Valdivieso E. , Zabala M. , Muñoz Noval A. , López‐Méndez R. , Carmona N. , Espinosa A. , García García F. J. , Boulahya K. , Lucas J. A. , Biancotto L. , Amador U. , Azcondo M. T. , Hurtado‐Marcos C. 
Published: February 2025

AbstractGold‐coated silver nanoparticles (Ag@AuNPs) are synthesized by green synthesis using Vaccinium corymbosum as reducing agent. The obtained Ag@AuNPs present a core‐shell structure with nanostar shape. The absorption spectrum of these nanoparticles shows a prominent band centred at 680 nm, within the optimal range for photothermal applications. Dispersions of Ag@AuNPs in water, 1.87 1010 NPs/mL, reach a temperature of 44.3 °C under laser excitation in 10 minutes, which is suitable for hyperthermia therapy. The internalization of Ag@AuNPs, at a concentration of 3 108 NPs/ml, by macrophages (Raw 264.7), human fibroblasts (Hs27), and cancer cells (4T1) is confirmed by transmission electron microscopy. Cytotoxicity studies demonstrate that at this concentration the cells are viable.
Container emptying alone falls short: mechanical egg removal enhances Aedes aegypti management
Authors: Rubio Alejandra , Melgarejo‐Colmenares Karelly , Kliger Marlene , Cardo María V , Vezzani Darío 
Published: February 2025

AbstractBACKGROUNDTraditional dengue control efforts focus on eliminating water containers to prevent mosquito breeding, but often overlook Aedes aegypti eggs that remain adhered to container walls. This study compared the effectiveness of two mechanical ovicidal methods—brushing and scrubbing the interior surfaces of containers—against traditional emptying in reducing Ae. aegypti infestation levels. The impact of these methods on non‐target dipterans with similar oviposition behavior to the dengue vector was also evaluated; i.e. Clogmia albipunctata (Psychodidae) and Dasyhelea necrophila (Ceratopogonidae). During April 2024, a field trial was conducted on pre‐existing black plastic flower vases in a public cemetery from temperate Argentina.RESULTSPrior to the intervention, out of the 855 containers involved in the study, 765 (89.5%) held water and 351 of such (45.9%) harbored immatures of one or more dipteran species, including Ae. aegypti (observed in 251 containers), C. albipunctata (104), and D. necrophila (51). Both brushing and scrubbing were more effective in reducing the proportion of containers with remaining viable eggs of Ae. aegypti (up to 48.1% and 43.4%, respectively) than just emptying the containers (up to 18.5%). The ovicidal treatments also led to a reduction in the proportion of containers with viable eggs of the non‐target dipteran C. albipunctata, but not of D. necrophila.CONCLUSIONSMechanical ovicidal methods should be mandatory in container emptying campaigns against Ae. aegypti. These methods should be adapted to the local conditions, aiming to promote more targeted and ecologically safe management strategies. © 2025 Society of Chemical Industry.
Data assimilation errors due to incomplete accounting of balanced versus unbalanced moisture
Authors: Ogrosky H. Reed , Wetzel Alfredo N. , Smith Leslie M. , Stechmann Samuel N. 
Published: February 2025

AbstractThe notion of balance has played an important role in data assimilation. However, traditional ideas of balance have been based on dry dynamics, without moisture. Recently, the notion of balanced moisture has been formulated based on moist dynamics. Here, the goal is to investigate data assimilation strategies with moisture, and to assess the impact of accounting for moisture's balanced and unbalanced components. To illustrate the main ideas, examples are presented using a simple model consisting of linear, moist, shallow‐water equations with stochastic forcing, and a Kalman filter in its stationary state for a data assimilation method akin to 3D‐Var. If a traditional treatment of moisture is used, which does not properly decompose moisture into its balanced and unbalanced components, then the error in the recovered moisture is increased by up to 15% or more. These errors are most significant on smaller spatial scales, where inertia–gravity wave variance is larger, and in the presence of larger vertical gradients of the background moisture state, and in cases with larger observational noise. Underlying these results are some subtle theoretical aspects of the moist dynamical core and its dynamical operator, which is not symmetric; instead, it is self‐adjoint with respect to a non‐diagonal inner product, which is associated with conservation of moist energy. From the results here, and given the longstanding difficulties with data assimilation and forecasting of precipitation, it is possible that balanced versus unbalanced moisture may play a role in these difficulties, among many challenging aspects of water vapor, clouds, and precipitation.
Idealized study of representing spatial and temporal variations in the error contribution of surface emissivity for assimilating surface‐sensitive microwave radiance observations over land
Authors: Wang Zheng Qi , Buehner Mark , Huang Yi 
Published: February 2025

AbstractThe assimilation of surface‐sensitive microwave radiance observations over land can improve numerical weather prediction accuracy at Environment and Climate Change Canada. However, the benefits of these observations are limited by large errors in surface emissivity and skin temperature, along with challenges accounting for these errors in the data assimilation system. Typically, the contribution of surface emissivity error is treated as a deficiency in the observation operator and represented by inflating a fixed observation error covariance matrix (R). However, this study demonstrates the error contributions of surface emissivity in observation space for each radiance observation profile can vary substantially due to variations in the surface emissivity Jacobians, even if the surface emissivity error covariances are fixed. An approach is introduced to account for this variability by representing the surface emissivity errors in the background error covariance matrix (B) and including surface emissivity as an additional analysis variable. Using an idealized one‐dimensional variational assimilation framework, the approach is compared with a reference experiment that uses a fixed R to represent the average error contribution of surface emissivity. The proposed approach results in up to 20% and 35% greater error reduction in the mid–lower tropospheric air temperature and skin temperature analyses, respectively, when compared to the reference experiment. Both methods would be mathematically equivalent in estimating air and skin temperatures if the variations in the error contribution of surface emissivity were fully represented within the R in the reference approach, which may require significant technical changes to the assimilation system. However, additional benefits of the proposed approach could potentially be realized in a 4D‐EnVar assimilation system by propagating the updated surface emissivity and within the outer loop of an incremental formulation. Additionally, it is demonstrated that well‐represented background error correlations between air and skin temperatures in B can further improve the error reductions.
How Uncertain is the Emergence of Knowledge Related to the United Nations Sustainable Development Goals? An Analysis of Scientific Knowledge Diversification at Utrecht University
Authors: Romero‐Goyeneche Oscar Yandy , Heimeriks Gaston , Arroyave Felber 
Published: February 2025

ABSTRACTThe study of synergies and trade‐offs among the Sustainable Development Goals (SDGs) has captured growing scientific interest. However, how scientific knowledge addressing multiple SDGs emerges and contributes to improving synergies and addressing trade‐offs remains unclear. To analyse this emergence and its uncertainties, Utrecht University serves as a case study due to its funding initiatives, promotion of strategic themes in sustainability, and incentivisation of cross‐faculty collaboration to implement the 2030 Agenda. Using bibliometric methods and complex systems indications, the interactions between SDGs are evaluated within and across knowledge communities. The study reveals a high degree of interconnectedness between knowledge communities closely associated with the SDGs and those less related to them. It also examines the diversification of disciplines, stakeholders and SDGs for two areas of specialization at Utrecht University: Health & Well‐being (SDG 3) and Climate Action (SDG 13). Results highlight unique knowledge‐sharing characteristics and potential limitations for these SDGs. Combining knowledge across SDGs proves challenging due to stakeholder disagreements and unclear social and cognitive translations. The findings suggest specific support for SDGs is essential to foster collaboration across fields and stakeholders, enabling knowledge communities to advance impactful SDG research. Integrating SDG research through top‐down strategic plans may be insufficient, as each SDG has distinct characteristics requiring tailored approaches. Universities should adopt a bottom‐up strategy to identify existing knowledge capabilities and redirect them toward integrating multiple SDGs in scientific knowledge production.
Study on the Influence of Cerium Addition to the Catalytic Performance of Copper–Manganese Catalysts
Authors: Xu Ying , Zhang Zhihong , Xia Daoran 
Published: February 2025

AbstractIn this study, Cu–Mn–Ce ternary catalysts were prepared using the co‐precipitation method by adding Ce to Cu–Mn catalysts, and the catalytic oxidation performance of toluene was comparatively investigated between Cu–Mn and Cu–Mn–Ce catalysts. The fresh or used catalysts were characterized by BET, XRD, SEM, XPS, and Raman spectroscopy to explore the relationship between catalyst structure and performance. XRD results indicated that a significant amount of CeO2 crystals were formed within the Cu–Mn–Ce catalyst. According to XPS and Raman results, Ce in the Cu–Mn–Ce catalyst existed predominantly as Ce3+ and Ce4+, with the latter contributing to the generation of oxygen vacancies, enabling the catalyst to maintain excellent catalytic activity under high toluene concentrations. Additionally, the effects of different element molar ratios, toluene concentrations, space velocity, and oxygen contents on catalyst performance were investigated. The Cu2Mn1Ce2 catalyst exhibited the best performance. When the toluene inlet concentration was 39330.0 mg/m3, the degradation rate of the Cu2Mn1Ce2 catalyst reached 97.0%, which is 31.7% higher than that of the Cu2Mn1 catalyst. The reason for the easy deactivation of the Cu2Mn1 catalyst was attributed to the destruction of the active phase. The toluene degradation mechanism was finally analyzed using GC‐MS.
A Bioactive Benzimidazole‐Cyclometalated Iridium(III) Complex as an Epigenetic Regulator through Effectively Interrupting the EED–EZH2 Interaction
Authors: Cheng Shasha , Li Jian , Song Ying‐Qi , Jing Shaozhen , Lan Yi‐Xuan , Wang Ling , Chan Daniel Shiu‐Hin , Wong Chun‐Yuen , Sheng Chunquan , Wang Wanhe , Wang Hui‐Min David , Leung Chung‐Hang 
Published: February 2025

AbstractEpigenetic regulation plays a fundamental role in controlling gene expression and maintaining cellular identity. Among epigenetic processes, the translocation of methyltransferases is critical for the modification of chromatin structure and transcriptional activity. The regulation of these translocation events and the mechanisms involved are complex, yet critical for understanding and manipulating epigenetic states. Therefore, novel strategies are required for detecting and visualizing the movement and interaction of methyltransferases within cells. Using enhancer of zeste homolog 2 (EZH2) methyltransferase as an example, a bifunctional compound capable of both monitoring and disrupting its translocation process is developed by targeting the protein–protein interaction (PPI) between embryonic ectoderm development (EED) and EZH2. The Ir(III) complex 1 bound enthalpically to EED and effectively inhibited the methyltransferase activity of EZH2. Moreover, disruption of the EED–EZH2 PPI led to increased transcriptional activity of P21 and P27, resulting in the suppression of triple‐negative breast cancer (TNBC) cell proliferation. Excitingly, 1 suppressed tumor metastasis in a TNBC mouse model in vivo. To our knowledge, complex 1 is the first metal‐based bifunctional therapeutic agent designed to probe and inhibit the EED–EZH2 PPI, highlighting the feasibility and significance of using metal complexes to monitor and influence methyltransferase translocations for therapeutic applications.
Intracellular Proteins Targeting with Bi‐Functionalized Magnetic Nanoparticles Following their Endosomal Escape
Authors: Perret Mélody , Pineda Estelle , Jeune Mathilde Le , Nguyen Tieu Ngoc , Michel Aude , Illien Françoise , Siaugue Jean‐Michel , Ménager Christine , Burlina Fabienne , Secret Emilie 
Published: February 2025

AbstractThe specific targeting of intracellular proteins or organelles by magnetic nanoparticles (MNPs) is a major challenge in nanomedicine, as most MNPs are internalized by cells through endocytosis and remain trapped inside small intracellular vesicles, limiting their ability to reach intracellular components. Furthermore, this phenomenon limits their heating capacity in magnetic hyperthermia, and therefore their potential for cancer treatment. This study presents a strategy based on an original double functionalization of MNPs, with polyhistidine peptides (PHPs) triggering endosomal escape and antibodies targeting specific cytosolic proteins. Negatively charged γ‐Fe2O3@SiO2 MNPs with diameter smaller than 50 nm are functionalized with zwitterionic and thiol groups at their surface. These sulfhydryl groups are used to graft PHPs through a labile link, allowing the peptide to be released from the MNPs’ surface once in the cytosolic reductive environment. This severing avoids any interaction between these peptides and intracellular components, which can hinder MNPs’ intracellular mobility. The second MNPs’ surface functionalization is performed through a non‐labile link with antibodies targeting specific cytosolic proteins, namely HSP27 thermosensitive proteins, for this inaugural proof of concept. Bi‐functionalized MNPs are able to successfully target the intracellular protein of interest, opening the door to promising biomedical applications of MNPs, in cellular engineering and magnetic hyperthermia.
Highly Deformable Van der Waals Chalcogenides with Superior Thermoelectric Performance from Interpretable Machine Learning
Authors: Ren Qi , Zhu Bonan , Tang Gang , Hong Jiawang 
Published: February 2025

AbstractVan der Waals (vdW) chalcogenide‐based flexible thermoelectric devices hold great promise for wearable electronics. However, intrinsic vdW chalcogenides that combine high flexibility with superior thermoelectric figures of merit (ZT) remain extremely rare. Consequently, there is an urgent need to develop methods capable of high‐throughput screening to identify potential vdW chalcogenides with both robust flexibility and favorable ZT value. In this study, over 1000 vdW chalcogenides are high‐throughput screened for their flexibility and ZT values. Flexibility is evaluated using the previously developed deformability factor, while ZT values are predicted using a machine learning model. Several candidates with large deformability and high ZT are successfully identified. Among these, NbSe2Br2 emerges as the top‐performing material. Further first‐principles calculations reveal that it achieves a maximum ZT value of 1.35 at 1000 K, the highest reported so far among flexible inorganic thermoelectric materials. Its power factor value of 8.1 µW cm−1K−2 at 300 K also surpasses most organic and inorganic flexible thermoelectric materials. The high ZTmax is mainly contributed by the extremely low thermal conductivity and the high Seebeck coefficient along the out‐of‐plane direction at high temperatures. The study offers new material options for the development and application of flexible thermoelectric devices based on layered chalcogenides.
Bayesian Functional Region Selection
Authors: Zhu Hongxiao , Sun Yizhi , Lee Jaeyoung 
Published: February 2025

ABSTRACTLocal regions on curves, images and other high‐dimensional objects often contain critical information for interpretation, prediction and decision‐making. Therefore, detecting local regions on functional data that are relevant to a variable of interest is highly desirable. We propose a Bayesian method for functional regression to select local regions on functional predictors that are relevant to a scalar response. The region selection is achieved through sparse estimation of the regression coefficient function. We adopt compactly supported and overcomplete basis to capture local features of the coefficient function and propose a spike‐and‐slab prior coupled with a structured Ising hyper‐prior to encourage continuous shrinkage of nearby regions. Our proposed Bayesian framework accommodates both continuous and binary responses, resulting in posterior inference that naturally captures the uncertainty of the model parameters.
Is It Anorexia? Congenital Duodenal Web
Authors: Lodola Ilaria , Dell’Anna Giuseppe , Balzano Gianpaolo , Danese Silvio 
Published: February 2025

ABSTRACTCongenital duodenal web (CDW) is a rare cause of intestinal obstruction in adults, making diagnosis challenging. We present the case of a 26‐year‐old woman with chronic epigastric symptoms who recently developed vomiting and significant weight loss. Prolonged compensatory duodenal dilation obscured typical radiological signs and delayed preoperative identification. The diagnosis was confirmed intraoperatively and managed surgically. This case highlights the need to consider CDW in adults with unexplained proximal gastrointestinal obstruction.