bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nd:YAG 1064-nm laser for residual infantile hemangioma after propranolol treatment
Authors: Khamaysi Z. , Pam N. , Zaaroura H. , Avitan-Hersh E. 
Published: May 2023

AbstractInfantile hemangiomas (IH) are common benign tumors of infancy. Most IH involute, either spontaneously, or secondary to pharmacological treatment with systemic propranolol. Propranolol treatment mostly leads to regression of hemangiomas with satisfactory aesthetic results, but unfortunately not in all cases. To assess the safety and efficacy of long pulsed Nd:YAG 1064 nm laser in treating patients with residual infantile hemangioma after systemic propranolol treatment. This is an open-label prospective cohort study. 30 patients with focal residual IH that had sub-optimal responses to systemic propranolol treatment were enrolled in the study. The patients were treated with 1 to 3 sessions with long pulsed Nd:YAG 1064 nm laser. The maximal response of the IH was assessed using a 4-point scale evaluation scale system. Of the 30 patients enrolled, 18 patients exhibited a great response (> 76% improvement), 10 patients had a good response (> 51–75% improvement), while only 2 patients showed a moderate response (< 50% improvement) to the treatment. No patients had an unsatisfactory response. No serious side effects were observed, and only minor side effects were reported. The treatment with long pulsed Nd:YAG 1064 nm laser for residual IH, which were resistant to systemic propranolol treatment, is safe and effective. Thus, we suggest its use as a second-line treatment for patients with sub-optimal aesthetic results following systemic propranolol.
Experimental evaluation of cobalt adsorption capacity of walnut shell by organic acid activation
Authors: Irshad Adnan , Atif Muhammad , Ghani Ambreen , Ali Basharat , Ahmad Sheikh Asrar , Alex Musinguzi 
Published: May 2023

AbstractCobalt, from industrial waste and nuclear laundry, possess health risk to human beings, animals and plants. Number of methods, other than adsorption, have been reported in literature for Co removal from waste water. In this research walnut shell powder after modification has been utilized for Co adsorption. First step of modification involved chemical treatment by four different organic acids for 72 h. Samples were collected at 24, 48 and 72 h. Second step involved thermal treatment of 72 h samples. Unmodified and modified particles have been analyzed by chemical methods and instruments i.e. UV spectrometer, FTIR, cyclic voltammetry (CV) and microscopic imaging. Thermally treated samples have shown augmented Co adsorption. CV analysis showed thermally treated samples with better capacitance. Particles modified by oxalic acid presented better Co adsorption. Oxalic acid treated particles activated for 72 h with thermal treatment provided maximum adsorption capacity 1327 ± 20.6 mg/g against Co(II) at pH 7, stirring 200 rpm, initial concentration 20 ml, adsorbent dosage (5 mg) and contact time 240 min at room temperature.
Plant-growth promoting activity of three fungal endophytes isolated from plants living in dehesas and their effect on Lolium multiflorum
Authors: García-Latorre C. , Rodrigo S. , Marin-Felix Y. , Stadler M. , Santamaria O. 
Published: May 2023

AbstractEndophytic fungi have been demonstrated to produce bioactive secondary metabolites, some of which promote plant growth. Three endophytic fungi isolated from healthy plants living in dehesas of Extremadura (Spain) were identified and evaluated for their ability to produce phytohormone-like substances, antioxidant activity, total polyphenol content, phosphate solubilization ability and siderophore and ammonia production. The filtrates and extracts produced by the three endophytes were applied to Lolium multiflorum seeds and seedlings under both in vitro and greenhouse conditions, to analyse their influence on plant growth traits such as germination, vigour index, chlorophyll data, number and length of leaves and roots, and dry weight. All three endophytes, which were identified as Fusarium avenaceum, Sarocladium terricola and Xylariaceae sp., increased the germination of L. multiflorum seeds by more than 70%. Shoot and root length, plant dry weight and the number of roots were positively affected by the application of fungal filtrates and/or extracts, compared with controls. The tentative HPLC–MS identification of phytohormone-like substances, such as gibberellin A2 and zeatin, or the antioxidant acetyl eugenol, may partially explain the mechanisms of L. multiflorum plant growth promotion after the application of fungal filtrates and/or extracts.
Stiffness characteristics analysis of a Biglide industrial parallel robot considering the gravity of mobile platform and links
Authors: Guan Jiuliang , Zou Ping , Xu Jilin , Wang Wenjie 
Published: May 2023

AbstractFor the machining process of industrial parallel robots, the gravity generated by the weight of mobile platform and links will lead to the deviation of the expected machining trajectory of the tool head. In order to evaluate this deviation and then circumvent it, it is necessary to perform the robotic stiffness model. However, the influence of gravity is seldom considered in the previous stiffness analysis. This paper presents an effective stiffness modeling method for industrial parallel robots considering the link/joint compliance, the mobile platform/link gravity, and the mass center position of each link. First, the external gravity corresponding to each component is determined by the static model under the influence of gravity and mass center position. Then, the corresponding Jacobian matrix of each component is obtained by the kinematic model. Subsequently, the compliance of each component is obtained by cantilever beam theory and FEA-based virtual experiments. In turn, the stiffness model of the whole parallel robot is determined and the Cartesian stiffness matrix of the parallel robot is calculated at several positions. Moreover, the principal stiffness distribution of the tool head in each direction over the main workspace is predicted. Finally, the validity of the stiffness model with gravity is experimentally proved by the comparison of the calculated stiffness and measured stiffness in identical conditions.
Structural and functional features of a broad-spectrum prophage-encoded enzybiotic from Enterococcus faecium
Authors: Premetis Georgios E. , Stathi Angeliki , Papageorgiou Anastassios C. , Labrou Nikolaos E. 
Published: May 2023

AbstractMultidrug-resistant (MDR) bacteria have become a growing threat to public health. The gram-positive Enterococcus faecium is classified by WHO as a high-priority pathogen among the global priority list of antibiotic-resistant bacteria. Peptidoglycan-degrading enzymes (PDEs), also known as enzybiotics, are useful bactericidal agents in the fight against resistant bacteria. In this work, a genome-based screening approach of the genome of E. faecium allowed the identification of a putative PDE gene with predictive amidase activity (EfAmi1; EC 3.5.1.28) in a prophage-integrated sequence. EfAmi1 is composed by two domains: a N-terminal Zn2+-dependent N-acetylmuramoyl-l-alanine amidase-2 (NALAA-2) domain and a C-terminal domain with unknown structure and function. The full-length gene of EfAmi1 was cloned and expressed as a 6xHis-tagged protein in E. coli. EfAmi1 was produced as a soluble protein, purified, and its lytic and antimicrobial activities were investigated using turbidity reduction and Kirby–Bauer disk-diffusion assays against clinically isolated bacterial pathogens. The crystal structure of the N-terminal amidase-2 domain was determined using X-ray crystallography at 1.97 Å resolution. It adopts a globular fold with several α-helices surrounding a central five-stranded β-sheet. Sequence comparison revealed a cluster of conserved amino acids that defines a putative binding site for a buried zinc ion. The results of the present study suggest that EfAmi1 displays high lytic and antimicrobial activity and may represent a promising new antimicrobial in the post-antibiotic era.
Construction of deep learning-based disease detection model in plants
Authors: Jung Minah , Song Jong Seob , Shin Ah-Young , Choi Beomjo , Go Sangjin , Kwon Suk-Yoon , Park Juhan , Park Sung Goo , Kim Yong-Min 
Published: May 2023

AbstractAccurately detecting disease occurrences of crops in early stage is essential for quality and yield of crops through the decision of an appropriate treatments. However, detection of disease needs specialized knowledge and long-term experiences in plant pathology. Thus, an automated system for disease detecting in crops will play an important role in agriculture by constructing early detection system of disease. To develop this system, construction of a stepwise disease detection model using images of diseased-healthy plant pairs and a CNN algorithm consisting of five pre-trained models. The disease detection model consists of three step classification models, crop classification, disease detection, and disease classification. The ‘unknown’ is added into categories to generalize the model for wide application. In the validation test, the disease detection model classified crops and disease types with high accuracy (97.09%). The low accuracy of non-model crops was improved by adding these crops to the training dataset implicating expendability of the model. Our model has the potential to apply to smart farming of Solanaceae crops and will be widely used by adding more various crops as training dataset.
Eye lens-derived Δ14C signatures validate extreme longevity in the deepwater scorpaenid blackbelly rosefish (Helicolenus dactylopterus)
Authors: Chamberlin Derek W. , Siders Zachary A. , Barnett Beverly K. , Patterson William F. 
Published: May 2023

AbstractMany members of the scorpaenid subfamily: Sebastinae (rockfishes and their relatives) exhibit slow growth and extreme longevity (> 100 y), thus are estimated to be vulnerable to overfishing. Blackbelly rosefish (Helicolenus dactylopterus) is a deepwater sebastine whose longevity estimates range widely, possibly owing to different regional levels of fisheries exploitation across its Atlantic Ocean range. However, age estimation has not been validated for this species and ageing for sebastines in general is uncertain. We performed age validation of northern Gulf of Mexico blackbelly rosefish via an application of the bomb radiocarbon chronometer which utilized eye lens cores instead of more traditional otolith cores as the source of birth year Δ14C signatures. The correspondence of eye lens core Δ14C with a regional reference series was tested with a novel Bayesian spline analysis, which revealed otolith opaque zone counts provide accurate age estimates. Maximum observed longevity was 90 y, with 17.5% of individuals aged to be > 50 y. Bayesian growth analysis, with estimated length-at-birth included as a prior, revealed blackbelly rosefish exhibit extremely slow growth (k = 0.08 y−1). Study results have important implications for the management of blackbelly rosefish stocks, as extreme longevity and slow growth imply low resilience to fishing pressure.
Eukaryotic-like phosphoprotein phosphatase (PPP) enzyme evolution: interactions with environmental toxins and regulatory proteins
Authors: Kerk David , White-Gloria Chris , Johnson Jayde J. , Moorhead Greg B. 
Published: May 2023

Abstract
Phosphoprotein phosphatases (PPPs) are a ubiquitous class of enzymes which dephosphorylate serine and threonine residues on substrate proteins involved in a wide variety of cellular processes. The active site of PPP enzymes are highly conserved with key residues coordinating the substrate phosphoryl group (the two R-clamp) and two metal ions necessary for catalysis. Because of the diverse number of roles that these enzymes play it is no surprise that they are highly regulated in the cell, often accomplished by binding regulatory subunits. These regulatory subunits are able to dictate substrate specificity, localization, and activity of the bound catalytic subunit. Eukaryotic PPP subtypes have been previously shown to manifest varying degrees of sensitivity to environmental toxins. We present here an evolutionary model which now rationalizes this data. Our re-examination of published structural evidence reveals that Eukaryotic PPP toxin-binding residues also interact with substrate binding residues (the two R-clamp) and ancient regulatory proteins. Such functional interactions could have stabilized PPP sequence early in Eukaryotic evolution, providing a stable target which was co-opted by toxins and their producer organisms.
Precision Medicine as a New Frontier in Speech-Language Pathology: How Applying Insights From Behavior Genomics Can Improve Outcomes in Communication Disorders
Authors: Peter Beate , Bruce Laurel , Finestack Lizbeth , Dinu Valentin , Wilson Melissa , Klein-Seetharaman Judith , Lewis Candace R. , Braden B. Blair , Tang Yi-Yuan , Scherer Nancy , VanDam Mark , Potter Nancy 
Published: May 2023

Purpose:
Precision medicine is an emerging intervention paradigm that leverages knowledge of risk factors such as genotypes, lifestyle, and environment toward proactive and personalized interventions. Regarding genetic risk factors, examples of interventions informed by the field of medical genomics are pharmacological interventions tailored to an individual's genotype and anticipatory guidance for children whose hearing impairment is predicted to be progressive. Here, we show how principles of precision medicine and insights from behavior genomics have relevance for novel management strategies of behaviorally expressed disorders, especially disorders of spoken language.

Method:
This tutorial presents an overview of precision medicine, medical genomics, and behavior genomics; case examples of improved outcomes; and strategic goals toward enhancing clinical practice.

Results:
Speech-language pathologists (SLPs) see individuals with various communication disorders due to genetic variants. Ways of using insights from behavior genomics and implementing principles of precision medicine include recognizing early signs of undiagnosed genetic disorders in an individual's communication patterns, making appropriate referrals to genetics professionals, and incorporating genetic findings into management plans. Patients benefit from a genetics diagnosis by gaining a deeper and more prognostic understanding of their condition, obtaining more precisely targeted interventions, and learning about their recurrence risks.

Conclusions:
SLPs can achieve improved outcomes by expanding their purview to include genetics. To drive this new interdisciplinary framework forward, goals should include systematic training in clinical genetics for SLPs, enhanced understanding of genotype–phenotype associations, leveraging insights from animal models, optimizing interprofessional team efforts, and developing novel proactive and personalized interventions.
User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things
Authors: Dhasarathan Chandramohan , Hasan Mohammad Kamrul , Islam Shayla , Abdullah Salwani , Khapre Shailesh , Singh Dalbir , Alsulami Abdulaziz A. , Alqahtani Ali 
Published: May 2023

AbstractThis research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise personal data prevention. The Internet of Medical Things (IoMT) has advanced in healthcare with the rapid establishment of decentralised communication systems. Distributed ledgers have resource constraints to leverage public, private, and hybrid blockchain transactions to facilitate heterogeneous operations. The authors propose a supervised learning strategy in healthcare to mitigate learning health‐related issues, improvise clinical monitoring, and ensure secure communication. The proposed approach handles the vast IoMT data by adopting blockchain for IoMT as (BIoMT) to preserve sensitive clinical information. It incorporates hybrid encryption techniques to improve patient and health records' privacy protection. BIoMT also maintains secured and sustainable supply chain management with a highly confidential decentralised framework using blockchain‐based smart contracts, which minimises data loss. Moreover, a framework is designed with a hybrid hashing that integrates a homomorphically encrypted algorithm to support a smart contract for decentralised applicability. The BIoMT approach is tested and compared with the relevant prevention mechanisms. The evaluation shows that the effects observed from the result analysis noted that the proposed method outperforms reliable prevention mechanisms compared to the existing approaches.
Xanthine oxidase inhibitory kinetics and mechanism of ellagic acid: In vitro, in silico and in vivo studies
Authors: Chen Jianmin , He Zemin , Yu Sijin , Cai Xiaozhen , Zhu Danhong , Lin Yanhua 
Published: May 2023

AbstractEllagic acid (EA), which is widely distributed in many foods, has been found to possess inhibitory activity against xanthine oxidase (XO). However, there is ongoing debate about the difference in XO inhibitory activity between EA and allopurinol. Additionally, the inhibitory kinetics and mechanism of EA on XO are still unclear. Herein, the authors systematically studied the inhibitory effects of EA on XO. The authors’ findings showed that EA is a reversible inhibitor with mixed‐type inhibition, and its inhibitory activity is weaker than allopurinol. Fluorescence quenching experiments suggested that the generation of EA‐XO complex was exothermic and spontaneous. In silico analysis further confirmed that EA entered the XO catalytic centre. Furthermore, the authors verified the anti‐hyperuricemia effect of EA in vivo. This study elucidates the inhibition kinetics and mechanism of EA on XO, and lays a theoretical foundation for the further development of drugs and functional foods containing EA for the treatment of hyperuricemia.
Ökonomische Evaluation der frühen
Interdisziplinären Multimodalen Schmerztherapie allein und in
Kombination mit der Ganzkörper-Elektrostimulation im Vergleich zur
Standardversorgung bei Patienten mit chronischen nicht-spezifischen
Rückenschmerzen
Authors: Brüggenjürgen Bernd , Hamann Bettina , Stukenborg-Colsman Christina , Schulz Friederike 
Published: May 2023

ZusammenfassungTherapiereresistente chronische nicht-spezifische Rückenschmerzen sollen
frühzeitig mit einer Interdisziplinären Multimodalen
Schmerztherapie behandelt werden. Eine aktivierende
Ganzkörper-Elektrostimulation ist ggf. als Vorstufe eine Alternative
für ausgewählte Patienten.Kosten und Nutzen wurden mit einer Markov-Modellierung aus Sicht der deutschen
Privaten Krankenversicherung untersucht.Die diskontierten 1- und 5-Jahreskosten betrugen 8,258/32,580€
für die Standardversorgung, 9,300/31,2197€ für
die frühe Multimodale Schmerztherapie allein und
8,157/30,055€ für die Kombination mit der
Ganzkörper-Elektrostimulation. Die kumulierten diskontierten Nutzwerte
beliefen sich entsprechend auf 0,64/3,23, 0,70/3,38 und
0,69/3,37 QALYs.Multimodale Schmerztherapie allein und die Kombination mit aktivierender
Ganzkörper-Elektrostimulation sind der Standardversorgung
gesundheitsökonomisch überlegen.
Die Versorgungslage von Kindern und Jugendlichen mit Adipositas
– ist ein Disease Management Programm (DMP) eine
Lösung?
Authors: Joisten Christine , Gellhaus Ines , Kauth Thomas , Leipold Georg , Wabitsch Martin , Weihrauch-Blüher Susann , Wiegand Susanna , Dötsch Jörg , Fischbach Thomas 
Published: May 2023

ZusammenfassungAdipositas im Kindes- und Jugendalter stellt auch infolge der COVID-19 Pandemie
ein wachsendes Problem dar. In der Therapie wiesen verhaltensorientierte
multimodale Programme mit den Schwerpunkten Ernährung, Bewegung,
medizinische und psychosoziale Betreuung unter Einbezug des familiären
Umfeldes bzw. der Eltern über einen Zeitraum von 6 bis 12 Monaten die
beste Evidenz auf. Allerdings gibt es nach wie vor keine flächendeckende
Versorgung Betroffener. Dies ist hauptsächlich auf eine uneinheitliche
Kostenübernahme durch unterschiedliche Kostenträger und
Verantwortlichkeiten zurückzuführen. Die vom Gesetzgeber
vorgesehene Entwicklung eines Disease Management Programms Adipositas stellt
einen möglichen Schritt zur adäquaten Versorgung dar. Um den
Besonderheiten von Kindern und Jugendlichen gerecht zu werden, sollte neben
einem DMP für Erwachsene eines für diese Altersgruppe konzipiert
werden. Zusätzlich sollte dieses DMP „Adipositas im Kindes- und
Jugendalter“ in ein Gesamtkonzept eingebettet werden, das
patientenzentriert den Bedürfnissen der Betroffenen i.S. ambulanter und
stationärer Maßnahmen gerecht wird. Um aber die
Versorgungssituation zu verbessern, sind darüber hinaus
sozialgesetzbuchüberschreitende innovative Absätze wie
beispielsiweise kommunal verankerte Beratungsstellen wünschenswert.
The carbon footprint of ambulatory gastrointestinal endoscopy
Authors: Lacroute Joël , Marcantoni Juliette , Petitot Stéphane , Weber Julien , Levy Patrick , Dirrenberger Bastien , Tchoumak Irina , Baron Mathilde , Gibert Stéphanie , Marguerite Sandrine , Huppertz Jérôme , Gronier Olivier , Derlon Anne 
Published: May 2023

Background Endoscopy is considered the third highest generator of waste within healthcare. This is of public importance as approximately 18 million endoscopy procedures are performed yearly in the USA and 2 million in France. However, a precise measure of the carbon footprint of gastrointestinal endoscopy (GIE) is lacking.
Methods This retrospective study for 2021 was conducted in an ambulatory GIE center in France where 8524 procedures were performed on 6070 patients. The annual carbon footprint of GIE was calculated using “Bilan Carbone” of the French Environment and Energy Management Agency. This multi-criteria method accounts for direct and indirect greenhouse gas (GHG) emissions from energy consumption (gas and electricity), medical gases, medical and non-medical equipment, consumables, freight, travel, and waste.
Results GHG emissions in 2021 were estimated to be 241.4 tonnes CO2 equivalent (CO2e) at the center, giving a carbon footprint for one GIE procedure of 28.4 kg CO2e. The main GHG emission, 45 % of total emissions, was from travel by patients and center staff to and from the center. Other emission sources, in rank order, were medical and non-medical equipment (32 %), energy consumption (12 %), consumables (7 %), waste (3 %), freight (0.4 %), and medical gases (0.005 %).
Conclusions This is the first multi-criteria analysis assessing the carbon footprint of GIE. It highlights that travel, medical equipment, and energy are major sources of impact, with waste being a minor contributor. This study provides an opportunity to raise awareness among gastroenterologists of the carbon footprint of GIE procedures.