bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis of vancomycin fluorescent probes that retain antimicrobial activity, identify Gram-positive bacteria, and detect Gram-negative outer membrane damage
Authors: Zhang Bing , Phetsang Wanida , Stone M. Rhia L. , Kc Sanjaya , Butler Mark S. , Cooper Matthew A. , Elliott Alysha G. , Łapińska Urszula , Voliotis Margaritis , Tsaneva-Atanasova Krasimira , Pagliara Stefano , Blaskovich Mark A. T. 
Published: April 2023

AbstractAntimicrobial resistance is an urgent threat to human health, and new antibacterial drugs are desperately needed, as are research tools to aid in their discovery and development. Vancomycin is a glycopeptide antibiotic that is widely used for the treatment of Gram-positive infections, such as life-threatening systemic diseases caused by methicillin-resistantStaphylococcus aureus(MRSA). Here we demonstrate that modification of vancomycin by introduction of an azide substituent provides a versatile intermediate that can undergo copper-catalysed azide−alkyne cycloaddition (CuAAC) reaction with various alkynes to readily prepare vancomycin fluorescent probes. We describe the facile synthesis of three probes that retain similar antibacterial profiles to the parent vancomycin antibiotic. We demonstrate the versatility of these probes for the detection and visualisation of Gram-positive bacteria by a range of methods, including plate reader quantification, flow cytometry analysis, high-resolution microscopy imaging, and single cell microfluidics analysis. In parallel, we demonstrate their utility in measuring outer-membrane permeabilisation of Gram-negative bacteria. The probes are useful tools that may facilitate detection of infections and development of new antibiotics.
Improving endothelial health with food-derived H2S donors: an in vitro study with S-allyl cysteine and with a black-garlic extract enriched in sulfur-containing compounds
Authors: Geddo Federica , Querio Giulia , Asteggiano Alberto , Antoniotti Susanna , Porcu Alessandra , Occhipinti Andrea , Medana Claudio , Gallo Maria Pia 
Published: April 2023

S-allyl cysteine and a black-garlic extract improve endothelial health.
Bioenvironmental Predictors of Childhood Reading and Speech Difficulties
Authors: Michaelides Orestis , Luciano Michelle 
Published: April 2023

Purpose:
Reading and speech difficulties are common in childhood, yet it is not fully understood how much of their etiology is shared. This partly derives from methodological issues related to overlooking the potential co-occurrence between the two sets of difficulties. This study investigated the effects of five bioenvironmental predictors in a sample assessed for such co-occurrence.

Method:
A combination of exploratory and confirmatory analyses was performed on longitudinal data from the National Child Development Study. Exploratory latent class analysis was performed on children's reading, speech, and language outcomes at ages 7 and 11 years. Membership in the obtained classes was modeled using a regression with sex and four early-life predictors: gestation period, socioeconomic status, maternal education, and the home reading environment.

Results:
The model yielded four latent classes that broadly reflected (1) average reading and speech, (2) excellent reading, (3) reading difficulties, and (4) speech difficulties. Early-life factors significantly predicted class membership. Male sex and preterm birth emerged as risk factors for both reading and speech difficulties. Protective effects against reading difficulties were identified for maternal education, and lower (but not higher) levels of socioeconomic status and the home reading environment.

Conclusions:
Co-occurrence of reading and speech difficulties in the sample was low, and differential patterns of effect of the social environment were supported. Reading outcomes were under stronger malleable influence than speech outcomes.
Predictors of Reading Development Among School-Age Bilingual Children With Developmental Language Disorder: A Scoping Review
Authors: Ramírez Rica , Huang Becky H. , Salazar Kimberly , Eik Mari 
Published: April 2023

Purpose:
Systematic reviews of bilingual children's reading development are very limited, and none of which solely focus on predictors of reading difficulties among those with developmental language disorder (DLD). The present scoping review fills an important need by analyzing the recent research literature on the reading outcomes of bilingual children with DLD. Specifically, this study aims to identify predictors of reading difficulties among bilingual children with DLD to improve early identification.

Method:
The search parameters used in this scoping review included peer-reviewed journal articles written in English from 2000 to 2022 in order to synthesize the most recent empirical work, a focus on early childhood through early adolescent (pre-K to eighth grade) bilinguals with DLD, and research designs that included case study, descriptive, cross-sectional, quasi-experimental, longitudinal, and qualitative methods.

Results:
The present review yielded nine articles, which all examined the predictive validity of either a measure or task with the ultimate goal of improving early identification of reading difficulties. Significant predictors of reading difficulties, such as rapid naming and blending in first language (L1), were found to aid in identifying bilingual children who have DLD.

Conclusions:
To conclude, this review demonstrates that this is a highly under-researched topic. To have ended up including only nine articles that fit the criteria of our search reveals a large gap in the research and a limitation of this review.
Detection of non‐suicidal self‐injury based on spatiotemporal features of indoor activities
Authors: Yang Guanci , Yang Siyuan , Luo Kexin , Lan Shangen , He Ling , Li Yang 
Published: April 2023

AbstractNon‐suicide self‐injury (NSSI) can be dangerous and difficult for guardians or caregivers to detect in time. NSSI refers to when people hurt themselves even though they have no wish to cause critical or long‐lasting hurt. To timely identify and effectively prevent NSSI in order to reduce the suicide rates of patients with a potential suicide risk, the detection of NSSI based on the spatiotemporal features of indoor activities is proposed. Firstly, an NSSI behaviour dataset is provided, and it includes four categories that can be used for scientific research on NSSI evaluation. Secondly, an NSSI detection algorithm based on the spatiotemporal features of indoor activities (NssiDetection) is proposed. NssiDetection calculates the human bounding box by using an object detection model and employs a behaviour detection model to extract the temporal and spatial features of NSSI behaviour. Thirdly, the optimal combination schemes of NssiDetection is investigated by checking its performance with different behaviour detection methods and training strategies. Lastly, a case study is performed by implementing an NSSI behaviour detection prototype system. The prototype system has a recognition accuracy of 84.18% for NSSI actions with new backgrounds, persons, or camera angles.
3D printed elastomer ternary composites
Authors: Korivi Naga , Mahbub Rifat , Ahmadi Zahra , Azadehranjbar Soodabeh , Shield Jeffrey E. , Ni Yuanyuan , Yuan Yifan , Xu Xiaoshan , Gong Limin , Jeelani Shaik , Rangari Vijay 
Published: April 2023

AbstractThis paper describes the 3D printing of a ternary composite of polydimethylsiloxane (PDMS) and nanoparticles of iron oxide and barium titanate. The composite was printed using a commercially available 3D printer. Thermal curing of the composite during printing allowed for overall low process times of a few minutes. Scanning electron microscopy indicated uniform composite layers. The resulting composite films showed ferromagnetic behaviour, and applicability in magnetic actuation and piezoelectric energy harvesting.
Study on partial discharge and charge accumulation characteristics of oil‐pressboard insulation under DC superimposed harmonic voltage
Authors: Li Shuqi , Wang Qiang , He Dongxin , Wang Liangkai , Li Qingquan , Si Wen 
Published: April 2023

AbstractThe oil‐pressboard insulation on the valve side of the converter transformer withstands pulsating square wave voltage. The voltage contains lots of DC components and high‐order harmonics, which is likely to cause insulation failures. The partial discharge and space charge experiments of oil‐impregnated pressboard under DC superimposed harmonic voltage are conducted to study the effects of harmonic frequency and DC components on the discharge and charge accumulation and to explore the correlation mechanism of charge dynamic behaviour and discharge. Firstly, it is found that high‐order harmonic voltage promotes the partial discharge generation, but DC component suppresses the discharge. Moreover, the charge inside the pressboard is mainly injected in the same polarity and accumulates over time. The space charge density near the electrode increases with the increase of harmonic frequency, and the large amount of charge injection leads to electric field distortion. Meanwhile, the electric field direction changes faster, and the frequent charge injection and extraction behaviours make the charge recombination intensify, which promotes the discharge. Through the above analysis, the influence law of harmonic voltage on the failure of oil‐pressboard insulation is obtained, providing a theoretical basis for the structural optimisation and condition assessment of the converter transformer insulation.
Asymmetric cost aggregation network for efficient stereo matching
Authors: Wu Zhong , Zhu Hong , He Lili , Wang Dong , Shi Jing , Wu Wenhuan 
Published: April 2023

AbstractCost aggregation is crucial to the accuracy of stereo matching. A reasonable cost aggregation algorithm should aggregate costs within homogeneous regions where pixels have the same or similar disparities. Otherwise, the estimated disparity map is prone to the well‐known edge‐fattening issue and the problem of losing fine structures. However, current state‐of‐the‐art convolutional neural networks (CNNs) mainly do cost aggregation with square‐kernel convolutional layers that learn to adjust their kernel elements to make the actual receptive fields of the aggregated costs adapt to homogeneous regions with various shapes. This is a mechanism that easily leads to the above issues due to the translation equivalence and content‐insensitivity properties of CNNs. To tackle these problems, a novel densely connected asymmetric convolution block (Dense‐ACB) based on asymmetric convolutions is proposed to explicitly construct receptive fields with various shapes, which effectively alleviates the issues caused by mismatching shapes of receptive fields and homogeneous regions. The proposed Dense‐ACB brings new insight to CNN‐based stereo matching networks. Based on the proposed cost aggregation method, an efficient and effective stereo matching network is built, which not only achieves competitive overall accuracy compared with state‐of‐the‐art models but also effectively alleviates the edge‐fattening problem and preserves fine structures.
Identification of depression state based on multi‐scale acoustic features in interrogation environment
Authors: Huang Yongming , Ma Yongsheng , Xiao Jing , Liu Wei , Zhang Guobao 
Published: April 2023

AbstractDepression diagnosis based on speech signals has the advantages of non‐invasiveness, low cost, and few restrictions on portability. The research on the recognition of the depression state is carried out based on the acoustic information in the speech signal. Aiming at the interview dialogue speech in the consultation environment, a hierarchical attention temporal convolutional network (HATCN) acoustic depression recognition model is proposed. For sentence acoustic feature learning, a regional attention mechanism is introduced to extract multi‐scale sentence features; for segment acoustic feature extraction, the traditional attention mechanism is used to calculate, which is in line with human cognitive mechanism. In addition, a periodic focal loss function is introduced to address the imbalance of positive and negative samples in depression diagnosis. Experiments show that the proposed acoustic depression recognition model has a certain improvement in recognition performance compared with other methods. At the same time, the influence of noise on the recognition of acoustic depression in the real consultation environment is analysed through experiments, and the data enhancement is carried out utilising speech noise, which proves the effectiveness of the data expansion of speech noise.
Highly structured turbulence in high-mass star formation: An evolved infrared-dark cloud G35.20-0.74 N
Authors: Wang Chao , Wang Ke 
Published: April 2023

Context. Massive stars are generally believed to form in environments characterized by supersonic turbulence. However, recent observations challenge this traditional view. High-spatial- and spectral-resolution observations of the Orion Molecular Cloud (OMC, the closest massive star formation region) and an infrared-dark cloud (IRDC) G35.39 (a typical distant massive star formation region) show a resolution-dependent turbulence, and that high-mass stars are forming exclusively in subsonic to transonic cores in those clouds. These studies demand a re-evaluation of the role of turbulence in massive star formation.
Aims. We aim to study the turbulence in a typical massive-star-forming region G35.20-0.74 N (G35.20 in short) with sufficient spatial resolution to resolve the thermal Jeans length, and sufficient spectral resolution to resolve the thermal line width.
Methods. We use the Atacama Large Millimeter/submillimeter Array (ALMA) dust continuum emission to resolve fragmentation, the Karl G. Jansky Very Large Array (JVLA) 1.2 cm continuum to trace ionized gas, and JVLA NH3 (1,1) to (7,7) inversion transition lines to trace line width, temperature, and dynamics. We fit those lines and remove line broadening due to channel width, thermal pressure, and velocity gradient to obtain a clean map of intrinsic turbulence.
Results. We find that (1) the turbulence in G35.20 is overall supersonic, with mean and median Mach numbers 3.7 and 2.8, respectively. (2) Mach number decreases from 6–7 at a 0.1 pc scale to less than 3 toward the central cores at a 0.01 pc scale. (3) The central ALMA cores appear to be decoupled from the host filament, which is made evident by an opposite velocity gradient and significantly reduced turbulence. Because of intense star-formation activity in G35.20 (as compared to the relatively young and quiescent IRDC G35.39), the supersonic turbulence is likely replenished by protostellar outflows. G35.20 is therefore representative of an evolved form of IRDC G35.39. More observations of a sample of IRDCs are highly demanded in order to further investigate the role of turbulence in the initial conditions required for massive-star formation.
Die Zukunft der Medizin ist integrativ!
Authors: Laube Marion 
Published: April 2023

ZusammenfassungDie Mehrheit der Menschen in Deutschland wünscht sich ein Miteinander von Schulmedizin und Komplementärmedizin. Bereits mehr als 60 000 Ärzt*innen verbinden beides in ihrer täglichen Praxis. Die Hufelandgesellschaft versteht sich als die Stimme dieser integrativ tätigen Ärzteschaft. Wir sind davon überzeugt, dass alle Patient*innen von einem individuellen auf sie abgestimmten integrativmedizinischen Behandlungsplan profitieren können. Insbesondere chronische Erkrankungen, deren Therapien häufig sehr eingreifend und mit erheblicher Minderung der Lebensqualität verbunden sind, erfordern geradezu die Kombination von Behandlungen aus konventioneller und komplementärer Medizin. Diese Verbindung bezeichnen wir als Integrative Medizin. Der Beitrag erläutert die Vorgehensweise und die Aktivitäten der Hufelandgesellschaft zur Vertretung und Beförderung ärztlicher Integrativer Medizin in Ärzteschaft und Politik.
Proteinreaktionsmuster als integrative Labordiagnostik
Authors: Fischer Sabine 
Published: April 2023

ZusammenfassungEs ist bekannt, dass sich bestimmte Krankheiten in veränderten Proteinmustern widerspiegeln. Die funktionelle Proteomik nach C. E. I. A., eine Serumproteom-Diagnostik, greift auf die Information von Signalproteinen zu, bevor sich Krankheitssymptome mit strukturellen Veränderungen entwickeln können. Der Beitrag gibt einen Einblick in diese Diagnostik.
Clinical management and diagnosis of CLN2 disease: consensus of the Brazilian experts group
Authors: Sampaio Leticia Pereira de Brito , Manreza Maria Luiza Giraldes de , Pessoa André , Gurgel-Giannetti Juliana , Coan Ana Carolina , Júnior Hélio van der Linden , Embiruçu Emília Katiane , Henriques-Souza Adélia Maria de Miranda , Kok Fernando 
Published: April 2023

AbstractNeuronal ceroid lipofuscinosis type 2 (CLN2) is a rare neurodegenerative genetic disease that affects children in early life. Its classic form is rapidly progressive, leading to death within the first 10 years. The urge for earlier diagnosis increases with the availability of enzyme replacement therapy. A panel of nine Brazilian child neurologists combined their expertise in CLN2 with evidence from the medical literature to establish a consensus to manage this disease in Brazil. They voted 92 questions including diagnosis, clinical manifestations, and treatment of the disease, considering the access to healthcare in this country. Clinicians should suspect CLN2 disease in any child, from 2 to 4 years old, with language delay and epilepsy. Even though the classic form is the most prevalent, atypical cases with different phenotypes can be found. Electroencephalogram, magnetic resonance imaging, molecular and biochemical testing are the main tools to investigate and confirm the diagnosis. However, we have limited access to molecular testing in Brazil, and rely on the support from the pharmaceutical industry. The management of CLN2 should involve a multidisciplinary team and focus on the quality of life of patients and on family support. Enzyme replacement therapy with Cerliponase α is an innovative treatment approved in Brazil since 2018; it delays functional decline and provides quality of life. Given the difficulties for the diagnosis and treatment of rare diseases in our public health system, the early diagnosis of CLN2 needs improvement as enzyme replacement therapy is available and modifies the prognosis of patients.
Brazilian consensus for diagnosis, management and treatment of hereditary transthyretin amyloidosis with peripheral neuropathy: second edition
Authors: Pinto Marcus Vinicius , França Marcondes Cavalcante , Gonçalves Marcus Vinicius Magno , Machado-Costa Marcela Câmara , Freitas Marcos Raimundo Gomes de , Gondim Francisco de Assis Aquino , Marrone Carlo Domenico , Martinez Alberto Rolim Muro , Moreira Carolina Lavigne , Nascimento Osvaldo J. M. , Covaleski Anna Paula Paranhos , Oliveira Acary Souza Bulle de , Pupe Camila Castelo Branco , Rodrigues Marcia Maria Jardim , Rotta Francisco Tellechea , Scola Rosana Herminia , Marques Wilson , Waddington-Cruz Márcia 
Published: April 2023

AbstractHereditary transthyretin amyloidosis with peripheral neuropathy (ATTRv-PN) is an autosomal dominant inherited sensorimotor and autonomic polyneuropathy with over 130 pathogenic variants identified in the TTR gene. Hereditary transthyretin amyloidosis with peripheral neuropathy is a disabling, progressive and life-threatening genetic condition that leads to death in ∼ 10 years if untreated. The prospects for ATTRv-PN have changed in the last decades, as it has become a treatable neuropathy. In addition to liver transplantation, initiated in 1990, there are now at least 3 drugs approved in many countries, including Brazil, and many more are being developed. The first Brazilian consensus on ATTRv-PN was held in the city of Fortaleza, Brazil, in June 2017. Given the new advances in the area over the last 5 years, the Peripheral Neuropathy Scientific Department of the Brazilian Academy of Neurology organized a second edition of the consensus. Each panelist was responsible for reviewing the literature and updating a section of the previous paper. Thereafter, the 18 panelists got together virtually after careful review of the draft, discussed each section of the text, and reached a consensus for the final version of the manuscript.
Update Beckenboden (1) Was Sie über den Beckenboden wissen sollten
Authors: Henscher Ulla 
Published: April 2023

ZusammenfassungSchwangerschaft und Geburt sind Risikofaktoren für den Beckenboden und können zu Funktionsstörungen der Beckenorgane führen. Beckenbodentraining vor und nach der Geburt wirkt risikomindernd. Physiotherapeut*innen leiten Frauen zu einem gezielten, auf einem individuellen Befund basierenden Beckenbodentraining an.Der nachfolgende erste Beitrag fokussiert die Aufgaben des Beckenbodens. Der zweite Artikel beleuchtet die Therapie bei Speicher- und Entleerungsstörungen der Blase (► Seite 18) . Für Ihre Patientinnen bietet der dritte Artikel eine Anleitung zum Eigentraining (► Seite 22).
Beckenbodentraining in 3 Phasen
Authors: Henscher Ulla 
Published: April 2023

Liebe Patientin, lieber Patient,Beckenbodentraining ist für Frauen – und auch für Männer – mit Störungen der Blasen- und Darmfunktion die Therapie der Wahl. Es bietet Ihnen eine selbstbestimmte Möglichkeit, ohne Nebenwirkungen Ihre Beschwerden zu verbessern.
Heuristic rule for inexact Newton-Landweber iteration with convex penalty terms of nonlinear: ill-posed problems
Authors: Gu Ruixue , Fu Zhenwu , Han Bo , Fu Hongsun 
Published: April 2023

Abstract
Inexact Newton regularization methods are a family of prominent regularization methods for solving nonlinear ill-posed problems, which consist of an outer Newton iteration and an inner scheme providing increments by applying the regularization technique to the local linearized equations. In this paper, we propose a heuristic stopping rule for the inexact Newton regularization method, where the inner scheme is defined by Landweber iteration and the strong convex function is incorporated as the penalty term. In contrast to a prior and a posteriori stopping rules, our heuristic rule is purely data driven and does not require the information on noise level, which renders the method feasible when the noise level is unknown or unreliable. Under certain assumptions on the random noise, we establish a new convergence analysis for the inexact Newton-Landweber method under the heuristic rule. The numerical simulations are provided to demonstrate the performance of our heuristic rule.