bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long‐term implications of a multidisciplinary tube‐weaning program: Parental perspectives
Authors: Blinder Judith N. , Dror Tal , Weiss Patrice L. , Beeri Maurit 
Published: July 2024

AbstractObjectivesChildren who are unable to eat and drink orally require temporary or permanent enteral nutritional support via tube feeding. The objective was to describe a weaning program held at a children's rehabilitation hospital and to review the long‐term outcomes of the transition from tube nutrition to oral feeding.MethodsThe parents of 82 children who took part in the ALYN intervention program from 2011 to 2022 were requested to participate in a telephone survey to learn about their child's status related to eating, education, social wellbeing, and overall health. They also provided feedback concerning their experience with the tube‐weaning program and their current reliance on support for eating‐related issues.ResultsThe parents of 35 (39%) children responded. Their mean ± SD age at the time of treatment were 2.1 ± 1.76, and the mean ± SD age at the time of the survey 8.85 ± 3.96 years. Their mean current zBMI is −0.7. Overall, parents were very satisfied with the child's eating (4.7 out of 5) ± 0.7, and few reported that the child's eating affected the family mealtime routine (2.1 out of 5) ± 1.3. The children's age at weaning was significantly correlated with parental reports of concern with the child's current eating ability, with younger ages at weaning associated with lower parental concern.ConclusionsThe data demonstrated that despite the complexity of the participants, most children succeed in achieving long‐term independent eating, good nutritional status, and social participation around mealtimes.
Multi‐parameter fusion driver fatigue detection method based on facial fatigue features
Authors: Du Xuejing , Yu Chengyin , Sun Tianyi 
Published: July 2024

AbstractFatigued driving is one of the main causes of traffic accidents. In order to improve the detection speed of fatigue driving recognition, this paper proposes a driver fatigue detection method based on multi‐parameter fusion of facial features. It uses a cascaded Adaboost object classifier to detect faces in video streams. The DliB library is employed for facial key point detection, which locates the driver's eyes and mouth to determine their states. The eye aspect ratio (EAR) is calculated to detect eye closure, and the mouth aspect ratio (MAR) is calculated to detect yawning frequency and count. The detected percentage of eye closure (PERCLOS) value is combined with yawning frequency and count, and a multi‐feature fusion approach is used for fatigue detection. Experimental results show that the accuracy of blink detection is 91% and the accuracy of yawn detection is 96.43%. Furthermore, compared to the models mentioned in the comparative experiments, this model achieves two to four times faster detection times while maintaining accuracy.
Rapidly Self‐Healable and Melt‐Extrudable Polyethylene Reprocessable Network Enabled with Dialkylamino Disulfide Dynamic Chemistry
Authors: Chen Boran , Debsharma Tapas , Fenimore Logan M. , Wang Tong , Chen Yixuan , Purwanto Nathan S. , Torkelson John M. 
Published: July 2024

AbstractCatalyst‐free, radical‐based reactive processing is used to transform low‐density polyethylene (LDPE) into polyethylene covalent adaptable networks (PE CANs) using a dialkylamino disulfide crosslinker, BiTEMPS methacrylate (BTMA). Two versions of BTMA are used, BTMA‐S2, with nearly exclusively disulfide bridges, and BTMA‐Sn, with a mixture of oligosulfide bridges, to produce S2 PE CAN and Sn PE CAN, respectively. The two PE CANs exhibit identical crosslink densities, but the S2 PE CAN manifests faster stress relaxation, with average relaxation times ∼4.5 times shorter than those of Sn PE CAN over a 130 to 160 °C temperature range. The more rapid dynamics of the S2 PE CAN translate into a shorter compression‐molding reprocessing time at 160 °C of only 5 min (vs 30 min for the Sn PE CAN) to achieve full recovery of crosslink density. Both PE CANs are melt‐extrudable and exhibit full recovery within experimental uncertainty of crosslink density after extrusion. Both PE CANs are self‐healable, with a crack fully repaired and the original tensile properties restored after 30 min for the S2 PE CAN or 60 min for the Sn PE CAN at a temperature slightly above the LDPE melting point and without the assistance of external forces.
Global Bibliometric and Visualized Analysis of Research on Lactoferrin from 1978 to 2024
Authors: Gu Hong , Wang Yiming , Wang Yating , Ding Liyi , Huan Wenru , Yang Yuting , Fang Fang , Cui Weiwei 
Published: July 2024

ScopeLactoferrin (LF) is an iron‐bound protein with a molecular weight of about 80 kDa. LF has many biological functions such as antibacterial, antiviral, immunomodulatory, and anticancer. The purpose of this study is to explore the research trend of LF through bibliometric analysis.Methods and resultsThe search is conducted in the Web of Science Core Collection database, and then the publications information of LF related literature is exported. Based on CiteSpace and VOSviewer software, countries, institutions, authors, journals, keywords, and so on are analyzed. Since 1987, a total of 9382 literature have been included, and the number of papers related to LF has increased year by year. These publications come mainly from 124 countries and 725 institutions. Of the 1256 authors analyzed, Valenti Piera is the one with the most publications. The burst strength of gut microbiota, antioxidant, nanoparticles, and in vitro digestion are 21.3, 15.63, 23.03, and 13.51, respectively. They represent the frontier of research in this field and are developing rapidly.ConclusionThis study shows that LF has important research value. The study of LF nanoparticles and the effects of LF on the gut microbiota are an emerging field that helps to explore new research directions.
Evaluation of the applicability of weak shoulder and arm sparing signs in amyotrophic lateral sclerosis by multiple neurologists and neurology residents: A single‐center study
Authors: Sanpei Yui , Yasuda Keita , Takahashi Yoshiko , Hanazono Akira , Sugawara Masashiro , Iijima Katsunori 
Published: July 2024

AbstractIntroduction/AimsAmyotrophic lateral sclerosis (ALS) exhibits selective muscle weakness. The weak shoulder and arm sparing signs, assessed by a single experienced neurologist, have been reported to be superior to previous signs in sensitivity and specificity. However, it is unknown whether the same results are observed when assessed by multiple neurologists.MethodsSubjects were retrospectively identified from our department's inpatient database from 2014 to 2023. Medical Research Council (MRC) scores of the deltoid (Del), biceps brachii (BB), triceps brachii (TB), and first dorsal interosseous (FDI) muscles were evaluated. The weak shoulder sign was defined as positive when Del was weaker than BB and TB. The arm sparing sign was defined as positive when both Del and FDI were weaker than BB and TB. Sensitivity was analyzed in all ALS patients and in subgroups based on the region of symptom onset, presence or absence of upper motor neuron (UMN) signs, and the Japanese ALS Severity Classification.ResultsSeventy‐one patients with ALS were identified. Eight neurologists and three neurology residents evaluated each patient's MRC scores. The weak shoulder and arm sparing signs were observed in 72% and 48% of patients, respectively, with no significant difference in sensitivity across patient subgroups.DiscussionThe weak shoulder and arm sparing signs showed high and moderate sensitivity, respectively, consistent with a previous report, even when evaluated by multiple examiners. This expands the clinical utility and increases the reliability of these signs, potentially contributing to accurate ALS diagnosis when combined with other clinical features and objective assessments.
ChatGPT‐4 Consistency in Interpreting Laryngeal Clinical Images of Common Lesions and Disorders
Authors: Maniaci Antonino , Chiesa‐Estomba Carlos M. , Lechien Jérôme R. 
Published: July 2024

AbstractObjectiveTo investigate the consistency of Chatbot Generative Pretrained Transformer (ChatGPT)‐4 in the analysis of clinical pictures of common laryngological conditions.Study DesignProspective uncontrolled study.SettingMulticenter study.MethodsPatient history and clinical videolaryngostroboscopic images were presented to ChatGPT‐4 for differential diagnoses, management, and treatment(s). ChatGPT‐4 responses were assessed by 3 blinded laryngologists with the artificial intelligence performance instrument (AIPI). The complexity of cases and the consistency between practitioners and ChatGPT‐4 for interpreting clinical images were evaluated with a 5‐point Likert Scale. The intraclass correlation coefficient (ICC) was used to measure the strength of interrater agreement.ResultsForty patients with a mean complexity score of 2.60 ± 1.15. were included. The mean consistency score for ChatGPT‐4 image interpretation was 2.46 ± 1.42. ChatGPT‐4 perfectly analyzed the clinical images in 6 cases (15%; 5/5), while the consistency between GPT‐4 and judges was high in 5 cases (12.5%; 4/5). Judges reported an ICC of 0.965 for the consistency score (P = .001). ChatGPT‐4 erroneously documented vocal fold irregularity (mass or lesion), glottic insufficiency, and vocal cord paralysis in 21 (52.5%), 2 (0.05%), and 5 (12.5%) cases, respectively. ChatGPT‐4 and practitioners indicated 153 and 63 additional examinations, respectively (P = .001). The ChatGPT‐4 primary diagnosis was correct in 20.0% to 25.0% of cases. The clinical image consistency score was significantly associated with the AIPI score (rs = 0.830; P = .001).ConclusionThe ChatGPT‐4 is more efficient in primary diagnosis, rather than in the image analysis, selecting the most adequate additional examinations and treatments.
Longitudinal Analysis of Hypoglossal Nerve Stimulator Therapy Uptitration Using Cloud‐Based Usage Data
Authors: Cai Yi , Zheng Yixuan J. , Chang Jolie L. 
Published: July 2024

AbstractThis preliminary study investigates hypoglossal nerve stimulator (HNS) amplitude changes and usage patterns during the initial HNS uptitration period to characterize when patients achieve their therapeutic amplitude. HNS therapy amplitudes, duration, and pause times were examined across the first 4 months of implant use. Average HNS therapy amplitude increased monthly from baseline (0.7 ± 0.3 V) to the first (1.1 ± 0.3 V), second (1.4 ± 0.4 V), third (1.7 ± 0.5 V), and fourth months (1.8 ± 0.5 V) (P < .001). After 4 months, 60% had reached a therapeutic amplitude. Average therapeutic amplitude was greater for patients who did not achieve therapeutic amplitude by month 4 than for those who did (2.6 vs 1.6 V; P < .05). Body mass index, baseline apnea‐hypopnea index, respiratory disturbance index, and initial HNS amplitude did not differ between the 2 groups. Predictors for therapeutic amplitude and other usage patterns require further investigation.
Lymphatic Vessels in the Inner Ear of Patients With Meniere Disease: A Novel Pathological Finding
Authors: Zhang Daogong , Li Xiaofei , Lv Yafeng , Song Yongdong , Kong Ligang , Li Boqin , Zheng Jinfeng , Pérez‐Fernández Nicolas , Fan Zhaomin , Wang Haibo 
Published: July 2024

AbstractBackgroundMeniere disease, characterized by intermittent episodes of vertigo, fluctuating sensorineural hearing loss, tinnitus, and aural pressure, is a common cause of vertigo in humans. The pathogenesis of Meniere disease remains unknown. The current study aimed to describe a novel pathological change discovered in the inner ears of patients with Meniere disease who underwent labyrinthectomy.MethodsThis retrospective case‐control study was conducted with 21 patients with MD who underwent labyrinthectomy. A total of 15 patients diagnosed with acoustic neuroma or glomus jugular tumor were review over the same period of time as control. The clinical information of the patients and the pathological features of the membrane are described.ResultsThe new pathological tissue was a morbid membrane structure sealing the round window, characterized by the formation of lymphatic capillaries. Histochemical and immunofluorescent staining was positive for D2‐40, LYVE‐1, podoplanin, and PROX1, which are the classical markers of the lymphatic vessels. Transmission electron microscopy revealed that the lymph capillaries lacked a typical basement membrane and that their ends were blind, composed of a single layer of endothelial cells with valval connection structures between adjacent capillary epithelial cells.ConclusionThis is the first report of lymphatic vessels in the human inner ear, and this pathological structure is a completely new discovery. The lymphatic vessels may develop due to inflammation or decompensation of pressure in the inner ear, suggesting that the inner ear can reactively form lymphatic vessels in some inflammation and fluid flow‐dependent pathological conditions. The current findings help in improving our understanding of the pathogenesis of Meniere disease.
Effect of nanosized carbon nanotubes, Titanium Nitride and cubic Boron Nitride powders on mechanical and thermal properties of SLA 3D printed resin composites
Authors: Alshihabi Mamoun , Kayacan Mevlüt Yunus 
Published: July 2024

AbstractThis study explores the development of nanocomposites by incorporating multi‐walled carbon nanotubes (MWCNT), titanium nitride (TiN), and cubic boron nitride (c‐BN) nano powders into photo‐polymer epoxy resins for use in Stereolithography (SLA) additive manufacturing. Mechanical and thermal properties were systematically investigated to assess their performance. Initially, MWCNT, TiN, and c‐BN nano powders were homogeneously mixed with the resin to ensure uniformity. The resulting mixtures were then processed using SLA technology to evaluate production quality and material performance. The study revealed significant improvements in mechanical and thermal properties compared to pure resin, aligning with previous research outcomes. Specifically, the incorporation of MWCNT led to a notable enhancement in thermal conductivity, showing an increase of 24.21% as the thermal conductivity coefficient increased from 0.19 to 2.36 W/m·k. On the other hand, c‐BN significantly boosted mechanical strength, resulting in a substantial 20.45% increase as the shore D hardness went from 88.53 to 106.64. These findings highlight the promising potential of nanocomposites across various industries including electronics, aerospace, automotive, construction, medical devices, and manufacturing.Highlights
Developed nanocomposites with MWCNT, TiN, and c‐BN in SLA resin.
c‐BN increased hardness by 20.45%, proving its effectiveness in composites.
MWCNT enhanced thermal conductivity by 24.21%, boosting material performance.
Pioneering use of TiN and c‐BN in SLA, addressing gaps in existing research.
Applications span electronics, aerospace, automotive and medical devices.
Tailoring molecular structure and electromechanical properties of polydimethylsiloxane elastomer for enhanced energy conversion efficiency
Authors: Prabhakar Om Prakash , Sahu Raj Kumar 
Published: July 2024

AbstractThe molecular structure of dielectric elastomers dictates their mechanical, electrical, and properties to react under external stimuli, influencing their suitability for applications such as actuators, sensors, and energy harvesting devices. The molecular structure of polymers can be tailored by incorporating plasticizers and particulate fillers to achieve multifunctional properties. However, achieving a balance between flexibility and maintaining mechanical strength due to incorporation of fillers induced phase separation and compromised intermolecular interactions remains challenging. In the present work, polydimethylsiloxane (PDMS) composites are synthesized using plasticizer and particulate fillers, polyethylene glycol (H‐(OCH2CH2)nOH) and titanium diboride (TiB2) respectively in various concentrations using shear mixing and doctor blade casting technique. Molecular structure of synthesized PDMS composite is confirmed by observing peaks of Raman spectra sift, which exhibits robust CO bonds dominating for both fillers. Chain entanglement due to filler incorporation significantly affects the crosslink density of PDMS composite, it increases with the concentration of plasticizer and possesses inverse relation for particulate. Furthermore, interdependence of the filler types and concentration are found on the mechanical as well as electrical properties. The specific deformation energy exhibits a significant increase of 118.9% when comparing particulate to the plasticizer at concentration of 8 wt.%. Although plasticizer increases the actuation strain and energy conversion efficiency but decreases the electrical breakdown voltage in comparison to particulate. By systematically varying fillers concentration, subtle changes in multifunctional properties are achieved. Overall, this investigation provides a framework for tailoring dielectric elastomer composites with desired electromechanical characteristics through the amalgamation of filler types and crosslinking densities, all intricately tied to the molecular architecture for electromechanical sensors.Highlights
Filler incorporation changes DE molecular structure and materials properties.
Formation of additional bonds and micro‐capacitors in DE enhances capacitance.
Actuation strain in DE depends on filler type and concentration.
Energy conversion efficiency varies with the concentration of filler.
Preparation of short carbon fiber reinforced photosensitive resin and composite material properties study
Authors: Zhou Wenwen , Chen Jin , Guo Zhifeng , Xie Jiaqiang , Wang Jiani 
Published: July 2024

AbstractLight‐curing rapid prototyping (SLA) has become an emerging technology in the manufacturing industry because of its high precision, rapid prototyping, and the ability to mold complex parts. To enhance the mechanical properties and thermal stability of its raw material photosensitive resin (PR), carbon fiber (CF) was surface modified by chemical oxidation and grafting of amino silane (KH550) to obtain KH550‐modified carbon fiber (ACF). Then, ACF was composited with photosensitive resin to obtain modified carbon fiber/photosensitive resin (ACF/PR) composites. The viscosities of ACF/PR composites, including the viscosity, curing shrinkage, mechanical properties, and thermal stability of the ACF/PR composites, were characterized. The results showed that KH550 was successfully grafted onto CF. When the addition of ACF in the composites was 0.6%, the tensile strength, elongation at break, and impact strength of ACF/PR reached 39.48 MPa, 20.32%, and 13.62 kJ/m2, which were 120%, 27.15%, and 154% higher than that of the pure resin; the thermal decomposition temperatures and the maximum thermal decomposition temperatures at 50% mass loss of ACF/PR increased to 457.66°C and 442.44°C at 50% mass loss, which is 3.95% and 3.63% higher than that of the pure resin. Currently, the composites have excellent strength, toughness, and thermal stability. This paper gives a cost‐efficient method for improving the functioning of PR.Highlights
Mixed acid oxidation and amino silane modification of CFs.
Preparation of modified CF/photosensitive resin composites.
Composites with excellent mechanical properties and thermal stability.
Exploring School Staff's Perceptions About Implementing Saliva‐Based Testing
Authors: Cheung W. C. , Ostrosky M. M. , O'Grady C. , Chudzik M. , Ackerman A. , Perez N. , Delinski N. , Smith R. L. 
Published: July 2024

ABSTRACTBackgroundTo investigate the feasibility of conducting COVID‐19 testing in kindergarten‐grade 12 schools, saliva‐based testing was implemented in five schools. The purpose of this study was to understand staff's perspectives of the barriers and facilitators to conducting saliva‐based testing in their settings.MethodsThirty‐three school staff who worked in five target schools were interviewed in the summer of 2021. Participants were recruited from June–August 2021 via a flyer that was distributed through email and school‐affiliated social media and websites, and word‐of‐mouth. Semi‐structured interviews were conducted over Zoom by a trained interviewer; interviews were audio recorded and auto transcribed using this Zoom feature. Constant comparative analysis and emergent coding were used to analyze the data.ResultsThe majority of participants had positive experiences with conducting saliva‐based testing during school hours. Participants reported that saliva‐based testing did not interrupt their school routine because (1) the testing was simple and quick, (2) the testing schedule was consistent and organized, and (3) school staff maintained open lines of communication. Barriers to implementing the testing were as follows: (1) obtaining parental consent, (2) not being allowed to drink or eat an hour before testing, and (3) struggling to provide enough saliva for testing. Participants suggested the following strategies to facilitate testing in schools: being more proactive, giving families fewer things to sign (i.e., consent forms), improving communication, adding needed consents to the school registration process, using social media, and increasing community outreach.ConclusionAs schools weigh the benefits and the risks of closing for extended periods of time versus remaining open for in‐person learning, saliva‐based testing is a feasible and efficient way to support programs in this decision‐making process. This approach can be used in future pandemics and in areas with outbreaks or poor vaccine coverage.
Characterization of metabolic features and potential anti‐osteoporosis mechanism of pinoresinol diglucoside using metabolite profiling and network pharmacology
Authors: Tu Xin‐Pu , Wu Si‐Xian , Li Meng‐Yin , Chen Zi‐Hao , Liu Cheng‐Jun , Ruan Yan‐Jie , Zeng Jian‐Bin , Shi Wei , Liu Jian‐Hang , Zhang Feng‐Xiang 
Published: July 2024

RationaleEucommia cortex is the core herb in traditional Chinese medicine preparations for the treatment of osteoporosis. Pinoresinol diglucoside (PDG), the quality control marker and the key pharmacodynamic component in Eucommia cortex, has attracted global attention because of its definite effects on osteoporosis. However, the in vivo metabolic characteristics of PDG and its anti‐osteoporotic mechanism are still unclear, restricting its development and application.MethodsUltra‐high‐performance liquid chromatography coupled with quadrupole time‐of‐flight mass spectrometry was used to analyze the metabolic characteristics of PDG in rats, and its anti‐osteoporosis targets and mechanism were predicted using network pharmacology.ResultsA total of 51 metabolites were identified or tentatively characterized in rats after oral administration of PDG (10 mg/kg/day), including 9 in plasma, 28 in urine, 13 in feces, 10 in liver, 4 in heart, 3 in spleen, 11 in kidneys, and 5 in lungs. Furan‐ring opening, dimethoxylation, glucuronidation, and sulfation were the main metabolic characteristics of PDG in vivo. The potential mechanism of PDG against osteoporosis was predicted using network pharmacology. PDG and its metabolites could regulate BCL2, MARK3, ALB, and IL6, involving PI3K‐Akt signaling pathway, estrogen signaling pathway, and so on.ConclusionsThis study was the first to demonstrate the metabolic characteristics of PDG in vivo and its potential anti‐osteoporosis mechanism, providing the data for further pharmacological validation of PDG in the treatment of osteoporosis.