bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early identification of subjective cognitive functional decline among patients with Parkinson’s disease: a longitudinal pilot study
Authors: Rosenblum Sara , Meyer Sonya , Richardson Ariella , Hassin-Baer Sharon 
Published: December 2022

AbstractPractical methods for early identification of Parkinson’s disease (PD) mild cognitive impairment (PD-MCI) through changes in real-life daily functioning are scarce. The aim of the study was to examine whether the cognitive functional (CF) feature, comprising of seven self-reported Movement Disorder Society’s (MDS) Unified Parkinson’s Disease Rating Scale (UPDRS) items, predicts PD patients’ cognitive functional status after a year. We conducted a 1-year follow-up of 34 PD patients (50–78 year; 70.6% men) suspected of MCI using the following measures: the MDS-UPDRS, UPDRS-CF feature, Beck Depression Inventory (BDI), Montreal Cognitive Assessment (MoCA), Trail Making Test (TMT), Parkinson’s Disease Cognitive Functional Rating Scale (PD-CFRS), and Daily Living Questionnaire (DLQ). The first and second UPDRS-CF feature scores, and additional measures at the 1-year follow-up significantly correlated. Hierarchical regression revealed that the initial MoCA, TMT, and BDI scores predicted the second UPDRS-CF, and the first UPDRS-CF predicted 31% of the second PD-CFRS score variance. Depression moderated the relationship between the first UPDRS-CF score and the DLQ Part A. These results suggest practical, self-reported, daily functional markers for identifying gradual decline in PD patients. They consider the patients’ heterogeneity, underlying cognitive pathology, and implications on daily functioning, health, and well-being.
Development and experimental verification of C-arm camera shooting locator
Authors: Yang Jun , Yang Lin , Jon Tae Gyong , Fang Zejun , Jin Peng , Hong Zhenghua , Ye Fei , Wang Jiawen 
Published: December 2022

AbstractThis study aimed to develop a self-made C-arm camera shooting locator and verify its accuracy and advantages. A total of 60 physicians and nurses from the Surgical System of Sanmen People’s Hospital, Zhejiang Province, China, were randomly selected as filming operators. The C-arm machine with a self-made locator and a C-arm machine without a locator were used to measure the center of the circular plate. The iron nails were used to shoot. The distance between the iron nail and the center point of the circular display area on display was defined as the shooting deviation. When it was less than 3 cm, the shooting was stopped. The number of shots, total shooting time, and first-shot deviation in the C-arm camera shooting groups with and without the locator were statistically analyzed, and the advantages and disadvantages of the two were compared. The average number of shots, average total shooting time, and average first-shot deviation of the C-arm camera using the locator were significantly better than those in the group without the locator, and the differences were statistically significant. When the shooting distance (X) was equal to 30 cm and the shooting angle (Y) was equal to 0°, the average number of shots, average total shooting time, and average first-shot deviation were optimal. The C-arm camera shooting locator can improve the shooting accuracy of the C-arm camera and effectively reduce the number of shots and total shooting time. Hence, it can be applied in clinical and surgical practice.
Efficient photocatalytic degradation of petroleum oil spills in seawater using a metal-organic framework (MOF)
Authors: Showman M. S. , El-Aziz Asmaa M. Abd , Yahya Rana 
Published: December 2022

AbstractPhotocatalysis is a green approach that has appeared to be a viable option for the degradation of a variety of organic contaminants. This work outlines the process of preparing the titanium-based metal-organic framework (MIL-125) photocatalysts using a simple solvothermal method. Structural, morphological, and optical analysis of samples (MT18 and MT48) was carried out by XRD, FT-IR, Raman, SEM, TGA, BET, and UV–Vis. Results indicated that the sample prepared at 150 °C and reaction time of 48 h (MT48) has a low crystal size of 7 nm with an optical band gap of 3.2 eV and a surface area of 301 m2 g−1. Under UV–visible light irradiation, the as-prepared MOFs proved to upgrade photocatalytic activity in degrading crude oil spills in saltwater. Effects of catalyst dosage and exposure time on the degradation of an oil spill in seawater were studied and analyzed using UV–Vis spectrophotometry and gas chromatography (GC–MS) which emphasized that the use of 250 ppm of MT48 photocatalyst under UV–Vis irradiation can degrade about 99% of oil spills in water after 2 h of exposure. The study's data revealed that MIL-125 could be used to photocatalyzed the cleanup of crude oil spills.
Hydrogels with intrinsic antibacterial activity prepared from naphthyl anthranilamide (NaA) capped peptide mimics
Authors: Aldilla Vina R. , Chen Renxun , Kuppusamy Rajesh , Chakraborty Sudip , Willcox Mark D. P. , Black David StC. , Thordarson Pall , Martin Adam D. , Kumar Naresh 
Published: December 2022

AbstractIn this study, we prepared antibacterial hydrogels through the self-assembly of naphthyl anthranilamide (NaA) capped amino acid based cationic peptide mimics. These ultra-short cationic peptide mimics were rationally designed with NaA as a capping group, l-phenylalanine, a short aliphatic linker, and a cationic group. The synthesized peptide mimics efficiently formed hydrogels with minimum gel concentrations between 0.1 and 0.3%w/v. The resulting hydrogels exhibited desirable viscoelastic properties which can be tuned by varying the cationic group, electronegative substituent, or counter anion. Importantly, nanofibers from the NaA-capped cationic hydrogels were found to be the source of hydrogels’ potent bacteriacidal actvity against both Gram-positive and Gram-negative bacteria while remaining non-cytotoxic. These intrinsically antibacterial hydrogels are ideal candidates for further development in applications where bacterial contamination is problematic.
Plasmon-exciton couplings in the MoS2/AuNP plasmonic hybrid structure
Authors: Kim Hyuntae , Im Jaeseung , Nam Kiin , Han Gang Hee , Park Jin Young , Yoo Sungjae , Haddadnezhad MohammadNavid , Park Sungho , Park Woongkyu , Ahn Jae Sung , Park Doojae , Jeong Mun Seok , Choi Soobong 
Published: December 2022

AbstractThe understanding and engineering of the plasmon-exciton coupling are necessary to control the innovative optoelectronic device platform. In this study, we investigated the intertwined mechanism of each plasmon-exciton couplings in monolayer molybdenum disulfide (MoS2) and plasmonic hybrid structure. The results of absorption, simulation, electrostatics, and emission spectra show that interaction between photoexcited carrier and exciton modes are successfully coupled by energy transfer and exciton recombination processes. Especially, neutral exciton, trion, and biexciton can be selectively enhanced by designing the plasmonic hybrid platform. All of these results imply that there is another degree of freedom to control the individual enhancement of each exciton mode in the development of nano optoelectronic devices.
Water quality and the CO2-carbonate system during the preconditioning of Pacific oyster (Crassostrea gigas) in a recirculating aquaculture system
Authors: Villasuso-Palomares Salvador , Gutiérrez-Wing María T. , Paniagua-Chávez Carmen G. 
Published: December 2022

AbstractThe continued increase of the demand for seed of the Pacific oyster (Crassostrea gigas) has driven the aquaculture industry to produce land-based hatcheries using broodstock conditioning. This has led to the need to create closed systems to control the main factors involved in reproduction (temperature and food). Additionally, reproductive synchronization of broodstocks may be considered to ensure homogeneous maturation and spawning among the organisms. In this work, we synchronized the broodstock reproductive stage of Pacific oysters in a recirculating aquaculture system (RAS) using a “preconditioning” process and evaluated the effect of the water quality and the CO2-carbonate system on preconditioned broodstock. The oysters were kept at 12 °C for 45 days in a RAS containing a calcium reactor (C2) or without a calcium reactor (C1, control). Water quality parameters were measured daily, and the oyster’s condition and reproductive development were monitored using condition index, biometrics, and histology, on Days 0, 20, and 45. C1 and C2 systems kept the water quality within the ranges reported as favorable for bivalves. The calcium reactor kept the pH (8.03–8.10), alkalinity (200 mg/L as CaCO3), CO32− (≤ 80 µmol/kg), and Ω aragonite (≤ 1) closer to the ranges reported as optimal for bivalves. However, no significant differences were detected in the total weight and the condition index in C1 and C2. The preconditioning allowed to maintain the organisms in early reproductive development, allowing gametogenesis synchronization to start maturation.
Explore how immobilization strategies affected immunosensor performance by comparing four methods for antibody immobilization on electrode surfaces
Authors: Huang Jiaoling , Xie Zhixun , Xie Liji , Luo Sisi , Zeng Tingting , Zhang Yanfang , Zhang Minxiu , Wang Sheng , Li Meng , Wei You , Fan Qing , Xie Zhiqin , Deng Xianwen , Li Dan 
Published: December 2022

AbstractAmong the common methods used for antibody immobilization on electrode surfaces, which is the best available option for immunosensor fabrication? To answer this question, we first used graphene-chitosan-Au/Pt nanoparticle (G-Chi-Au/PtNP) nanocomposites to modify a gold electrode (GE). Second, avian reovirus monoclonal antibody (ARV/MAb) was immobilized on the GE surface by using four common methods, which included glutaraldehyde (Glu), 1-ethyl-3-(3-dimethylaminopropyl)-carbodiimide/N-hydroxysuccinimide (EDC/NHS), direct incubation or cysteamine hydrochloride (CH). Third, the electrodes were incubated with bovine serum albumin, four different avian reovirus (ARV) immunosensors were obtained. Last, the four ARV immunosensors were used to detect ARV. The results showed that the ARV immunosensors immobilized via Glu, EDC/NHS, direct incubation or CH showed detection limits of 100.63 EID50 mL−1, 100.48 EID50 mL−1, 100.37 EID50 mL−1 and 100.46 EID50 mL−1 ARV (S/N = 3) and quantification limits of 101.15 EID50 mL−1, and 101.00 EID50 mL−1, 100.89 EID50 mL−1 and 100.98 EID50 mL−1 ARV (S/N = 10), respectively, while the linear range of the immunosensor immobilized via CH (0–105.82 EID50 mL−1 ARV) was 10 times broader than that of the immunosensor immobilized via direct incubation (0–104.82 EID50 mL−1 ARV) and 100 times broader than those of the immunosensors immobilized via Glu (0–103.82 EID50 mL−1 ARV) or EDC/NHS (0–103.82 EID50 mL−1 ARV). And the four immunosensors showed excellent selectivity, reproducibility and stability.
AmiA and AliA peptide ligands are secreted by Klebsiella pneumoniae and inhibit growth of Streptococcus pneumoniae
Authors: Lux Janine , Holivololona Lalaina , San Millan Gutierrez Raquel , Hilty Markus , Ramette Alban , Heller Manfred , Hathaway Lucy J. 
Published: December 2022

AbstractStreptococcus pneumoniae colonizes the human nasopharynx, a multi-species microbial niche. Pneumococcal Ami-AliA/AliB oligopeptide permease is an ABC transporter involved in environmental sensing with peptides AKTIKITQTR, FNEMQPIVDRQ, and AIQSEKARKHN identified as ligands of its substrate binding proteins AmiA, AliA, and AliB, respectively. These sequences match ribosomal proteins of multiple bacterial species, including Klebsiella pneumoniae. By mass spectrometry, we identified such peptides in the Klebsiella pneumoniae secretome. AmiA and AliA peptide ligands suppressed pneumococcal growth, but the effect was dependent on peptide length. Growth was suppressed for diverse pneumococci, including antibiotic-resistant strains, but not other bacterial species tested, with the exception of Streptococcus pseudopneumoniae, whose growth was suppressed by the AmiA peptide ligand. By multiple sequence alignments and protein and peptide binding site predictions, for AmiA we have identified the location of an amino acid in the putative binding site whose mutation appears to result in loss of response to the peptide. Our results indicate that pneumococci sense the presence of Klebsiella pneumoniae peptides in the environment.
Association of body composition fat parameters and breast density in mammography by menopausal status
Authors: Chu Ajung , Sung Pamela , Lee Jongyoon , Cheun Jong-Ho , Hwang Ki-Tae , Lee Kooklae , Kim Jiwon , Jeong Jibong 
Published: December 2022

AbstractWe investigated the relationship between body fat-driven obesity and breast fat density in mammography according to menopausal status. We retrospectively analyzed 8537 women (premenopausal, n = 4351; postmenopausal, n = 4186). Body fat parameters included BMI (body mass index), waist circumference (WC), waist-hip ratio (WHR), fat mass index (FMI), Percentage of body fat (PBF), and visceral fat area (VFA). Body fat-driven obesity was defined as follows: overall obesity, BMI ≥ 25 kg/m2; central obesity, WC > 85 cm; abdominal obesity, WHR > 0.85; excessive FMI, the highest quartile (Q4) of FMI; excessive PBF, the highest quartile (Q4) of VFA; visceral obesity, and the highest quartile (Q4) of VFA). Breast density was classified according to BI-RADS (grade a, b, c, and d), which defined as an ordinal scale (grade a = 1, grade b = 2, grade c = 3, and grade d = 4). All body fat-driven obesity parameters were negatively associated with the grade of breast density in both groups of women (p < 0.001): The more fatty parameters are, the less dense breast is. In multivariable binary logistic regression, all body fat-driven obesity parameters also showed a negative association with grade d density (vs. grade a, b, or c). In premenopausal women, BMI was a more associated parameter with grade d density than those of the other fat-driven parameters (OR 0.265, CI 0.204–0.344). In postmenopausal women, WC was more associated with grade d density than the others (OR 0.315, CI 0.239–0.416). We found that BMI, WC, WHR, FMI, PBF and VFA were negatively correlated with dense breast, and the association degree pattern between body fat-driven obesity and dense breast differs according to menopausal status.
Preclinical evaluation of pentagamavunone-1 as monotherapy and combination therapy for pancreatic cancer in multiple xenograft models
Authors: Kamitani Naoki , Nakamae Ikuko , Yoneda-Kato Noriko , Kato Jun-ya , Sho Masayuki 
Published: December 2022

AbstractWe previously reported that pentagamavunone-1 (PGV-1) effectively inhibited cell proliferation in many types of human tumors, including pancreatic cancer, by inducing M phase (prometaphase) arrest, senescence, and apoptosis with few side effects. However, a detailed evaluation of the effects of PGV-1 on pancreatic cancer cells in an in vivo setting has not yet been conducted. The present study investigated the potential efficacy of PGV-1 as both monotherapy and combination therapy for pancreatic cancer using multiple xenograft mouse assays. A cell-line derived xenograft model (CDX-M) with pancreatic cancer cell line and a patient-derived xenograft mouse model (PDX-M) using resected pancreatic cancer samples without neoadjuvant chemotherapy were established in both heterotopic and orthotopic manners. PGV-1 effectively suppressed tumor formation at the heterotopic and orthotopic sites in CDX-M than in untreated mice. Combination therapy with PGV-1 and gemcitabine more effectively suppressed tumor formation than monotherapy with PGV-1 or gemcitabine when administered after tumor formation. Monotherapy with PGV-1 or gemcitabine less effectively suppressed tumor formation in PDX-M than in CDX-M, whereas combination therapy with PGV-1 and gemcitabine more effectively suppressed tumor formation. PGV-1 as monotherapy and combination therapy with gemcitabine effectively inhibited tumor formation and has potential as an anticancer candidate for pancreatic cancer.
Decolorization and detoxication of plant-based proteins using hydrogen peroxide and catalase
Authors: Sakai Kiyota , Okada Masamichi , Yamaguchi Shotaro 
Published: December 2022

AbstractThe gap between the current supply of meat and its predicted future demand is widening, increasing the need to produce plant-based meat analogs. Despite ongoing technical developments, one of the unresolved challenges of plant-based meat analogs is to safely and effectively decolor plant proteins that originally exhibit yellow–brown or strong brown color. This study aimed to develop an effective and safe decoloring system for soy-based protein products using food-grade hydrogen peroxide and catalase. First, soy-based protein isolate (PI) and textured vegetable protein (TVP) were treated with hydrogen peroxide, and then the residual hydrogen peroxide was degraded using catalase. This process caused notable decolorization of PI and TVP, and residual hydrogen peroxide was not detected in these products. These findings indicate that this process could safely and effectively decolorize soy-based proteins. Interestingly, this decoloring process enhanced the solubility, water- and oil-holding capacities, foaming capacity, and emulsifying stability of decolored soy-based PI. Additionally, cooking loss and juiciness of decolored TVP-based foods were improved compared to those of non-treated foods. These findings indicate that the decoloring process also enhances the physical properties of soy-based protein products.
Comparative analysis of environmental standards to install a rooftop temperature monitoring station
Authors: Kim Byeongtaek , Hwang Sungeun , Lee Youngtae , Shin Seungsook , Kim Kihoon 
Published: December 2022

AbstractUrban climate influences economic activities and the health and safety of urban residents. Therefore, monitoring temperature in urban areas is important. However, owing to the lack of space for an appropriate observation site, an automatic weather station (AWS) was installed on a building rooftop. The rooftop installation can indicate temperature differences depending on the intensity of strong solar radiation and radiant heat of the building, and wind speed. Therefore, in this study, we aimed to provide observation standards for measuring rooftop temperature according to the optimal rooftop material and observation height. Specifically, an AWS was installed on the rooftop of the Gochang Standard Weather Station (GSWO), Jeollabuk-do Province, to observe the urban climate in South Korea and establish suitable weather standards. Different temperatures, optimum surface materials, and optimum heights for measuring the temperature at the rooftop of GSWO were investigated and compared over 1 year. The temperature recorded after installing a palm mat on the rooftop was more similar to that observed in the grassland. Furthermore, the installation height of the temperature sensor of 2.5–3.0 m for the palm mat and 3.5–4.0 m for concrete was found to be the optimal height for observing temperature at the rooftop.
Factors associated with long-term use of digital devices in the electronic Framingham Heart Study
Authors: Pathiravasan Chathurangi H. , Zhang Yuankai , Wang Xuzhi , Trinquart Ludovic , Benjamin Emelia J. , Borrelli Belinda , McManus David D. , Kheterpal Vik , Lin Honghuang , Spartano Nicole L. , Schramm Eric , Liu Chunyu , Murabito Joanne M. 
Published: December 2022

AbstractLong-term use of digital devices is critical for successful clinical or research use, but digital health studies are challenged by a rapid drop-off in participation. A nested e-cohort (eFHS) is embedded in the Framingham Heart Study and uses three system components: a new smartphone app, a digital blood pressure (BP) cuff, and a smartwatch. This study aims to identify factors associated with the use of individual eFHS system components over 1-year. Among 1948 eFHS enrollees, we examine participants who returned surveys within 90 days (n = 1918), and those who chose to use the smartwatch (n = 1243) and BP cuff (n = 1115). For each component, we investigate the same set of candidate predictors for usage and use generalized linear mixed models to select predictors (P < 0.1, P value from Z test statistic), adjusting for age, sex, and time (app use: 3-month period, device use: weekly). A multivariable model with the predictors selected from initial testing is used to identify factors associated with use of components (P < 0.05, P value from Z test statistic) adjusting for age, sex, and time. In multivariable models, older age is associated with higher use of all system components. Female sex and higher education levels are associated with higher completion of app-based surveys whereas higher scores for depressive symptoms, and lower than excellent self-rated health are associated with lower use of the smartwatch over the 12-month follow-up. Our findings show that sociodemographic and health related factors are significantly associated with long-term use of digital devices. Future research is needed to test interventional strategies focusing on these factors to evaluate improvement in long-term engagement.
Design and hardware demonstration of smart meter by cloud interface
Authors: Sudhakar Govindarajulu Sofana Reka , Karipat Justine Robin , Ravi V. , Venugopal Prakash , Alhelou Hassan Haes 
Published: December 2022

AbstractIn this work, the proposed model is developed by employing a smart metre design which is done by controlling and monitoring the system frequency. This model estimates the changes in the frequency in accordance to the loading conditions of the power system, overload or under load‐conditions respectively. The estimated frequency is analysed by employing a smart metre design, which estimates the change in the system frequency caused by overload or under‐load conditions and compared with a reference frequency value set by the load dispatching unit in the control server. In this analysis, the line responsible for the frequency change are being isolated from the rest of the system or given only based on the demand power as per the priority loads. The proposed model is equipped with an embedded realistic system set along with a synchronised network and central server by using a cloud computing approach as a test bed laboratory set up. The parameters of the electric power are based on load forecasting involved for setting the required reference frequency. The model is developed with a realistic approach by developing the prototype. The work employs both software and hardware modelling with cloud interface. A complete hardware demonstration rig is developed with a smart metre design and experimental results are studied and demonstrated using cloud interface.