bluuebunny/crossref_metadata_2025 huggingface dataset:
Baicalein improves the chemoresistance of ovarian cancer through regulation of CirSLC7A6
Authors: Li Shuqing , Yi Zhihui , Li Mingqing , Zhu Zhiling
Published: November 2023

Purpose

The present study aimed to investigate whether baicalein improves the sensitivity of resistant ovarian cancer cells to cisplatin.

Methods

Transcriptomic sequencing and bioinformatics analysis were used to screen differentially expressed CirSLC7A6 in A2780 and A2780/CDDP cells. RT-qPCR was performed to examine the expression levels of CirSLC7A6, miR-2682-5p, and SLC7A6. Cell proliferation and apoptosis were examined using a Cell Counting Kit-8 assay and flow cytometry, and cell migration and invasion were analyzed using wound healing and Transwell assays. Cell suspensions were inoculated into the subcutaneous tissues of the bilateral interscapular region of nude mice. Saline, cisplatin, baicalein and cisplatin plus baicalein were intraperitoneally injected to observe the effects on tumor growth. Toxicity analyses in the liver and kidney were performed using H&E staining. RT-qPCR and immunohistochemistry were used to detect the expression of CirSLC7A6, miR-2682-5p, and SLC7A6 in tumor tissues, and western blot analysis was carried out to measure protein expression levels.

Results

CirSLC7A6 was markedly upregulated in A2780/CDDP cells compared with the A2780 cells. CirSLC7A6 knockdown notably increased the expression of miR-2682-5p and decreased SLC7A6 expression. The rates of inhibition and apoptosis in the group treated with a combination of cisplatin and baicalein were significantly higher than those of the cisplatin and baicalein groups of A2780/CDDP shCirSLC7A6 cells. In A2780/CDDP shCirSLC7A6 cells, migration and invasion were significantly higher in the cisplatin and baicalein groups, compared with the combined treatment group. In the A2780/CDDP shCirSLC7A6 cell xenograft, the tumor weight of the combined treatment group was significantly lower than that of the cisplatin and baicalein groups. In addition, the combination of cisplatin and baicalein did not induce higher levels of toxicity in the liver or kidney. Baicalein alone and in combination with cisplatin notably reduced the expression of CirSLC7A6 and SLC7A6, and increased the expression of miR-2682-5p in the A2780/CDDP shCirSLC7A6 cell xenograft. In A2780/CDDP shCirSLC7A6 cells, the expression levels of P-Akt, P-mTOR, P-Erk, Bcl-2 and MMP2 were lower in the combined treatment group than in the control group.

Conclusions

Treatment with baicalein improved the sensitivity of ovarian cancer cells to cisplatin and inhibited cell proliferation, metastasis and tumor growth.
Reliability of pulse pressure and stroke volume variation in assessing fluid responsiveness in the operating room: a metanalysis and a metaregression
Authors: Messina Antonio , Caporale Mariagiovanna , Calabrò Lorenzo , Lionetti Giulia , Bono Daniele , Matronola Guia Margherita , Brunati Andrea , Frassanito Luciano , Morenghi Emanuela , Antonelli Massimo , Chew Michelle S. , Cecconi Maurizio
Published: November 2023

Background

Pulse pressure and stroke volume variation (PPV and SVV) have been widely used in surgical patients as predictors of fluid challenge (FC) response. Several factors may affect the reliability of these indices in predicting fluid responsiveness, such as the position of the patient, the use of laparoscopy and the opening of the abdomen or the chest, combined FC characteristics, the tidal volume (Vt) and the type of anesthesia.

Methods

Systematic review and metanalysis of PPV and SVV use in surgical adult patients. The QUADAS-2 scale was used to assess the risk of bias of included studies. We adopted a metanalysis pooling of aggregate data from 5 subgroups of studies with random effects models using the common-effect inverse variance model. The area under the curve (AUC) of pooled receiving operating characteristics (ROC) curves was reported. A metaregression was performed using FC type, volume, and rate as independent variables.

Results

We selected 59 studies enrolling 2,947 patients, with a median of fluid responders of 55% (46–63). The pooled AUC for the PPV was 0.77 (0.73–0.80), with a mean threshold of 10.8 (10.6–11.0). The pooled AUC for the SVV was 0.76 (0.72–0.80), with a mean threshold of 12.1 (11.6–12.7); 19 studies (32.2%) reported the grey zone of PPV or SVV, with a median of 56% (40–62) and 57% (46–83) of patients included, respectively. In the different subgroups, the AUC and the best thresholds ranged from 0.69 and 0.81 and from 6.9 to 11.5% for the PPV, and from 0.73 to 0.79 and 9.9 to 10.8% for the SVV. A high Vt and the choice of colloids positively impacted on PPV performance, especially among patients with closed chest and abdomen, or in prone position.

Conclusion

The overall performance of PPV and SVV in operating room in predicting fluid responsiveness is moderate, ranging close to an AUC of 0.80 only some subgroups of surgical patients. The grey zone of these dynamic indices is wide and should be carefully considered during the assessment of fluid responsiveness. A high Vt and the choice of colloids for the FC are factors potentially influencing PPV reliability.

Trial Registration: PROSPERO (CRD42022379120), December 2022. https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=379120
Bayesian methods: a potential path forward for sepsis trials
Authors: Tomlinson George , Al-Khafaji Ali , Conrad Steven A. , Factora Faith N. F. , Foster Debra M. , Galphin Claude , Gunnerson Kyle J. , Khan Sobia , Kohli-Seth Roopa , McCarthy Paul , Meena Nikhil K. , Pearl Ronald G. , Rachoin Jean-Sebastien , Rains Ronald , Seneff Michael , Tidswell Mark , Walker Paul M. , Kellum John A.
Published: November 2023

Background

Given the success of recent platform trials for COVID-19, Bayesian statistical methods have become an option for complex, heterogenous syndromes like sepsis. However, study design will require careful consideration of how statistical power varies using Bayesian methods across different choices for how historical data are incorporated through a prior distribution and how the analysis is ultimately conducted. Our objective with the current analysis is to assess how different uses of historical data through a prior distribution, and type of analysis influence results of a proposed trial that will be analyzed using Bayesian statistical methods.

Methods

We conducted a simulation study incorporating historical data from a published multicenter, randomized clinical trial in the US and Canada of polymyxin B hemadsorption for treatment of endotoxemic septic shock. Historical data come from a 179-patient subgroup of the previous trial of adult critically ill patients with septic shock, multiple organ failure and an endotoxin activity of 0.60–0.89. The trial intervention consisted of two polymyxin B hemoadsorption treatments (2 h each) completed within 24 h of enrollment.

Results

In our simulations for a new trial of 150 patients, a range of hypothetical results were observed. Across a range of baseline risks and treatment effects and four ways of including historical data, we demonstrate an increase in power with the use of clinically defensible incorporation of historical data. In one possible trial result, for example, with an observed reduction in risk of mortality from 44 to 37%, the probability of benefit is 96% with a fixed weight of 75% on prior data and 90% with a commensurate (adaptive-weighting) prior; the same data give an 80% probability of benefit if historical data are ignored.

Conclusions

Using Bayesian methods and a biologically justifiable use of historical data in a prior distribution yields a study design with higher power than a conventional design that ignores relevant historical data. Bayesian methods may be a viable option for trials in critical care medicine where beneficial treatments have been elusive.

Graphical abstract
Green chromatographic methods for determination of co-formulated lidocaine hydrochloride and miconazole nitrate along with an endocrine disruptor preservative and potential impurity
Authors: Ashour Esraa S. , Hegazy Maha A. , Al-Alamein Amal M. Abou , El-Sayed Ghada M. , Ghoniem Nermine S.
Published: November 2023

Recently, green analytical chemistry (GAC) is a key issue towards the idea of sustainability, the analytical community is focused on developing analytical methods that incorporate green chemistry principles to minimize adverse impacts on the environment and humans. Herein, we present 2 sustainable, selective, and validated chromatographic methods. Initially, lidocaine hydrochloride (LDC) and miconazole nitrate (MIC) with two preservatives; methyl paraben (MTP) and saccharin sodium (SAC) were chromatographed via TLC–densitometric method which employed ethyl acetate: methanol: formic acid (9:1:0.1, by volume) as the mobile phase with UV detection at 220.0 nm, good correlation was obtained in the range of 0.3–3.0 µg/band for MIC and LDC. Following that, RP-HPLC was successfully applied for separating quinary mixture of LDC, MIC, MTP, SAC along with LDC impurity; dimethyl aniline (DMA) using C18 column, and a gradient green mobile phase composed of methanol and phosphate buffer (pH 6.0) in different ratios with a flow rate 1.5 mL/min and UV detection at 210.0 nm, linearity ranges from 1.00 to 100.00 µg/mL for MIC, 2.00–100.00 µg/mL for LDC and 1.00–-20.00 µg/mL for MTP and DMA. No records to date regarding the determination of the two drugs, besides MTP and DMA. The proposed methods were validated according to the ICH guidelines and applied successfully to the analysis of the compounds. The methods' results were statistically compared to those obtained by applying the reported one, indicating no significant difference regarding both accuracy and precision. The methods' greenness profiles have been assessed and compared with those of the reported method using different assessment tools.

Graphical Abstract
Developing an analytical method for quantification of trientine based on modified silver nanoparticles
Authors: Khodadadi Mahsa , Shayanfar Ali
Published: November 2023

Trientine or (N,N´-bis(2-aminoethyl)-1,2-ethanediamine (TETA) is a copper chelator and used in Wilson’s disease, is aliphatic amine that does not have UV absorbing groups. In this study, the modified silver nanoparticles (AgNPs) by sodium lauryl sulfate have been used to develop an analytical method for quantification of TETA. Different concentrations of TETA were added into a particular concentration of AgNPs and absorbance of each sample was measured at 397 nm under the optimal conditions which include pH, time, salt and AgNPs volume. It was optimized by a design of experiments using response surface methodology. Then, the calibration curve was obtained based on the concentrations of TETA solution versus decrease in the absorbance of AgNPs. Selectivity of the developed method was performed in plasma and presence of common cations i.e. copper, zinc and ferrous. Under optimum conditions, linear range of this method was between 10 and 40 ng.mL− 1 with correlation coefficient (R2) of 0.996 with limit of detection and quantification of 3 ng.mL− 1 and 10 ng.mL− 1, respectively. Selectivity of established method in presence of cations eliminated by diluting because of high sensitivity of the established analytical techniques based on AgNPs. This method is suitable and low costing for quantification of TETA and does not require high equipment.
Integrating properties and conditions to predict spray performance of alternative aviation fuel by ANN model
Authors: Liu Ziyu , Tang Zimu , Yang Xiaoyi
Published: November 2023

Alternative aviation fuel has been confirmed benefits for GHGs reduction and energy saving. Alternative fuel use should meet drop-in fuel requirement, and one of the important factors to ensure combustion completeness is to achieve spray requirement in the whole envelop of flight. Alternative fuels are characterized different fuel properties at low temperature comparison with traditional jet fuel. For understanding fuel properties and spray-related processes under different conditions, alternative aviation fuel, including Fischer Tropsch (FT), cellulose hydrotreating jet fuel (CHJ) and traditional jet fuel (RP-3), were investigated spray performance. According to empirical equation deduced from experiment data (283 K-343 K), deviations to RP-3 enhanced significantly on surface tension and viscosity at low temperature aera (243 K-273 K). As the complex and discontinuous interaction between nozzle structure and fuel properties with temperature, and thus it is difficult to obtain appropriate empirical equation or simulation results at low temperature. Moreover, non-drop-in fuel like pure FT fuel cannot comply with the same spray mechanism as drop-in fuel. The artificial neural network (ANN) approaches have been involved to solve the complex relationship of properties with spray performance. ANN-spray model coupling with ANN-mass flow can predict not only cone angle and liquid length but also SMD and velocity in liquid zone and droplet zone with above 0.99 total correlation coefficient. Coupling simulation results of mass flow and spray performance, FT and CHJ as well as blend fuels present more obvious difference to RP-3 in droplet size distribution and velocity distribution at low temperature.
Spatial transferability of an agent-based model to simulate Taenia solium control interventions
Authors: Pizzitutti Francesco , Bonnet Gabrielle , Gonzales-Gustavson Eloy , Gabriël Sarah , Pan William K. , Gonzalez Armando E. , Garcia Hector H. , O’Neal Seth E. ,   for the Cysticercosis Working Group in Peru
Published: November 2023

Background

Models can be used to study and predict the impact of interventions aimed at controlling the spread of infectious agents, such as Taenia solium, a zoonotic parasite whose larval stage causes epilepsy and economic loss in many rural areas of the developing nations. To enhance the credibility of model estimates, calibration against observed data is necessary. However, this process may lead to a paradoxical dependence of model parameters on location-specific data, thus limiting the model’s geographic transferability.

Methods

In this study, we adopted a non-local model calibration approach to assess whether it can improve the spatial transferability of CystiAgent, our agent-based model of local-scale T. solium transmission. The calibration dataset for CystiAgent consisted of cross-sectional data on human taeniasis, pig cysticercosis and pig serology collected in eight villages in Northwest Peru. After calibration, the model was transferred to a second group of 21 destination villages in the same area without recalibrating its parameters. Model outputs were compared to pig serology data collected over a period of 2 years in the destination villages during a trial of T. solium control interventions, based on mass and spatially targeted human and pig treatments.

Results

Considering the uncertainties associated with empirical data, the model produced simulated pre-intervention pig seroprevalences that were successfully validated against data collected in 81% of destination villages. Furthermore, the model outputs were able to reproduce validated pig seroincidence values in 76% of destination villages when compared to the data obtained after the interventions. The results demonstrate that the CystiAgent model, when calibrated using a non-local approach, can be successfully transferred without requiring additional calibration.

Conclusions

This feature allows the model to simulate both baseline pre-intervention transmission conditions and the outcomes of control interventions across villages that form geographically homogeneous regions, providing a basis for developing large-scale models representing T. solium transmission at a regional level.

Graphical Abstract
Establishing reliable DNA barcoding primers for jumping plant lice (Psylloidea, Hemiptera)
Authors: Bastin Saskia , Percy Diana M. , Siverio Felipe
Published: November 2023

Objectives

DNA Barcoding has proven to be a reliable method for rapid insect identification. The success of this method is based on the amplification of a specific region, the ‘Folmer’ barcode region at the 5´ start of the cytochrome c oxidase 1 gene (cox1), with universal primers. Previous studies showed failures of standard “universal” primers to amplify this region in psyllids. The aim of the study was the design of a new alternative more reliable primer combination for taxa of the superfamily Psylloidea and its comparison with the performance of the standard “universal” Folmer-primers.

Results

A newly designed degenerate forward primer LCOP-F was developed following comparison of the sequence alignment of the priming site of “universal” primer LCO1490 and the standard insect forward primer LepF1. When combined with the “universal” reverse primer, HCO2198, this new primer pairing was able to generate barcode sequence for all 36 species in 20 genera across the five families of psyllids tested in this study, and these primers were found to be more universally reliable across psyllid taxa than other primer pairs tested.
Climate and litter traits affect the response of litter decomposition to soil fauna
Authors: Wang Dangjun , Xie Wuyang , Yuan Fang , Deng Chaochao , Qin Ruimin , Zhou Huakun
Published: November 2023

Objectives

Soil fauna plays a crucial role in contributing to litter breakdown, accelerating the decomposition rate and enhancing the biogeochemical cycle in terrestrial ecosystems. Comprehending the specific fauna role of functional species in litter decomposition is challenging due to their vast numbers and diversity. Climate and litter quality are widely acknowledged as dominant drives of litter decomposition across large spatial scales. However, the pattern of climate and litter quality modulates the effect of soil fauna on litter decomposition remains largely unexplored. To address this gap, we conducted an extensive analysis using data from 81 studies to investigate how climate and litter traits affects soil fauna in the decomposition.

Data description

The paper describes fauna body size, climate zones (tropical, subtropical and temperate), ecosystem types (forest, grassland, wetland and farmland), soil types (sand, loam and clay), decomposed duration (< 180, 180–360, > 360 days), litter initial traits, average annual temperature and precipitation. The litter traits encompass various parameters such as concentrations of carbon, nitrogen, phosphorus, potassium, lignin, cellulose, total phenol, condensed tannin, hydrolysable tannin and other nutrient traits. These comprehensive datasets provide valuable insights into the role of soil fauna on the decomposition at global scale. Furthermore, the data will give researchers keys to assess how climate, litter quality and soil fauna interact to determine decomposition rates.
Monocyte to high-density lipoprotein cholesterol ratio predicts poor outcomes in ischaemic heart failure patients combined with diabetes: a retrospective study
Authors: Li Qiuyu , Lin Xiaolong , Bo Xiaowen , Li Fanqi , Chen Siyuan , Miao Xuguang , Zhao Donghui , Liu Jinghua , Fan Qian
Published: November 2023

Background

The prevalence of ischaemic heart failure (HF) continues to increase. Diabetes mellitus (DM) concomitant with ischaemic HF increases the risk of major adverse cardiovascular events (MACEs). As a promising predictor for cardiovascular diseases, the predictive value of the monocyte to high-density lipoprotein cholesterol ratio (MHR) for MACE in the ischaemic HF with DM cohort has never been investigated before.

Objective

We aimed to investigate the MHR as a predictor for MACE in ischaemic HF patients with DM who underwent percutaneous coronary intervention (PCI).

Methods

This observational study enrolled 1049 patients with ischaemic HF and DM undergoing PCI from June 2017 to June 2019. The baseline data were collected. MACEs, including all-cause mortality, nonfatal myocardial infarction, and any revascularization, were recorded within the 36-month follow-up. The characteristics and incidence of MACE were analysed in four groups stratified by the quartiles of MHR. The hazard ratio for MACE was analysed with Cox regression models. The incidence of MACE in the four groups was evaluated by Kaplan‒Meier survival analysis. Restricted cubic spline analysis was performed to determine the nonlinear correlation between the MHR and MACE.

Results

After the 36-month follow-up, 407 patients (38.8%) experienced MACEs. The incidence of MACE was significantly higher among patients in the upper MHR quartile than among those in the lower MHR quartiles (23.4% vs. 36.0% vs. 41.4% and 54.6%; P < 0.001, respectively), which was consistent with the Kaplan‒Meier survival analyses (P < 0.0001). A multivariate Cox regression model showed that the MHR was an independent risk factor for MACE after variables were adjusted (adjusted HR: 2.11; 95% CI 1.47–3.03; P < 0.001). Its predictive effects on MACE showed no interaction with hypercholesterolemia (P > 0.05).

Conclusion

The MHR was a significant and independent predictor of MACEs in ischaemic HF patients with DM undergoing PCI.
Acute renal injury after aortic arch reconstruction with cardiopulmonary bypass for children: prediction models by machine learning of a retrospective cohort study
Authors: Kong Xiangpan , Zhao Lu , Pan Zhengxia , Li Hongbo , Wei Guanghui , Wang Quan
Published: November 2023

Background

Acute renal injury (AKI) after aortic arch reconstruction with cardiopulmonary bypass leads to injury of multiple organs and increases perioperative mortality. The study was performed to explore risk factors for AKI. We aim to develop a prediction model that can be used to accurately predict AKI through machine learning (ML).

Methods

A retrospective analysis was performed on 134 patients with aortic arch reconstruction with cardiopulmonary bypass who were treated at our hospital from January 2002 to January 2022. Risk factors for AKI were compositive and were evaluated with comprehensive analyses. Six artificial intelligence (AI) models were used for machine learning to build prediction models and to screen out the best model to predict AKI.

Results

Weight, eGFR, cyanosis, PDA, newborn birth and duration of renal ischemia were closely related to AKI. By integrating the results of the training cohort and validation cohort, we finally confirmed that the logistic regression model was the most stable model among all the models, and the logistic regression model showed good discrimination, calibration and clinical practicability. Based on 6 independent factors, the dynamic nomogram can be used as a predictive tool for clinical application.

Conclusions

DHCA could be considered in aortic arch reconstruction if additional perfusion of lower body were not performed especially when renal ischemia is greater than 30 min. Machine Learning models should be developed for early recognition of AKI.

Trial Registration: ChiCTR, ChiCTR2200060552. Registered 4 june 2022.

Graphical Abstract
Chronotype characteristics of professional athletes in China: a comprehensive descriptive study
Authors: Tan Chenhao , Lu Jiaojiao , Wang Jinhao , An Yan , Cao Guohuan , Zhao Defeng , Qiu Jun
Published: November 2023

Background

Chronotype has gained recognition as a significant factor in enhancing athletic performance. This study aimed to deepen our understanding of athletes’ sleep chronotypes and provide a foundation for developing evidence-based training and competition programs. By comprehensively describing and analyzing the chronotype characteristics of Chinese professional athletes, considering individual and sports factors, sleep quality and habits, and mental energy, this research aimed to contribute valuable insights to the field.

Methods

A sample of 1069 professional athletes from sports teams in Shanghai completed the Athlete Sleep Screening Questionnaire and the Athlete Mental Energy Scale to assess chronotype, sleep quality, sleep-influencing habits, and mental energy.

Results

Among athletes, sleep typology fell within the intermediate range, slightly leaning toward morningness. Male athletes and those who engaged in static sports displayed a greater propensity for morningness. Age correlated with a preference for eveningness. High-level athletes exhibited a stronger inclination toward eveningness. Sleep quality issues were associated with an inclination toward eveningness. Daily caffeine intake and the habit of using electronic devices before bedtime are also linked to eveningness. Chronotype demonstrated the ability to predict various dimensions of athletes’ mental energy. It was the strongest predictor of vigor, but the loadings were smaller than those of sleep quality.

Conclusion

Chinese athletes’ chronotypes primarily exhibit distinct characteristics related to individual factors such as gender, sports discipline, and ranking, as well as habits like caffeine consumption and electronic device use. Moreover, these sleep patterns demonstrate predictive capabilities across all dimensions of athletes’ mental energy. This study sheds light on Chinese athletes’ unique sleep chronotype attributes, enriching our understanding of sleep patterns among professional athletes under various systems. These insights offer an initial basis for enhancing the effectiveness of athlete scheduling and training management.
A pilot study on surgical implantation and efficacy of acoustic transmitters in fifteen loggerhead sea turtles (Caretta caretta), 2021–2022
Authors: Innis Charles J. , Kennedy Adam , Kneebone Jeff , Perez Sarah , Lory Linda , DiCarlo Sarah , Brugnara Alessia , Luise Kristen , Edmunds Deana , Sinnigen Christine , Tims Mary Beth , Nahvi Nina , Jones Emily , Joblon Melissa , Tuxbury Kathryn , Burgess Elizabeth , Zhou Vickie , Fischer Nina , Dodge Kara L.
Published: November 2023

Background

The ability to detect the location of free-ranging sea turtles over time is desirable for ecological, conservation, and veterinary studies, but existing detection methods have limited sensitivity or longevity. Externally attached acoustic transmitters have variable, and sometimes short retention times for sea turtles. For several vertebrate taxa, surgically implanted acoustic transmitters have proven to be safe and effective for long-term detection; however, implanted transmitters have not yet been used for turtles.

Results

In this pilot study, INNOVASEA acoustic transmitters were surgically implanted subcutaneously in the pre-femoral region of fifteen hospitalized loggerhead sea turtles (Caretta caretta) that had been rehabilitated after stranding due to cold-stunning. Model V16-4H transmitters (estimated battery longevity = 2435 days) were implanted in turtles measuring ≥ 50 cm straight carapace length (SCL), and model V13-1H transmitters (estimated battery longevity = 1113 days) were implanted in turtles measuring 30–49 cm SCL. Incision healing was monitored over several months prior to release. Twelve turtles’ incisions healed without complication, on average, 55 days after surgery (median 47, range 41–100). Three turtles experienced incision complications, two of which healed after a second surgery, while the third required transmitter removal to promote healing. One of the fourteen implanted transmitters was confirmed to be dysfunctional prior to release, although it had been functional prior to implantation. To date, 100% of turtles released with functional acoustic transmitters (n = 13) have been detected a total of 915 times by 40 individual acoustic receivers off the coasts of Massachusetts, Rhode Island, New York, Virginia, North Carolina, and in southern New England offshore waters. Turtles with transmitters generated 5–235 detections (mean 70, median 43) on 1–13 individual acoustic receivers (mean 5, median 5) for periods of 3–400 days post-release (mean 118, median 87). Total detections and detection durations for these individuals are expected to increase over time due to anticipated transmitter battery longevity.

Conclusions

This study demonstrates that surgically implanted acoustic transmitters are effective for the detection of free ranging sea turtles, but refinement of surgical methodology is needed in light of the observed complications. Monitoring of healing is critical when evaluating novel surgical techniques in wildlife.
The relationship between social media addiction, fear of missing out and family functioning: a structural equation mediation model
Authors: Topino Eleonora , Gori Alessio , Jimeno María Verónica , Ortega Beatriz , Cacioppo Marco
Published: November 2023

Background

The use of social media became a daily activity for many individuals, with recreational, informational, and social purposes, to name a few. However, for some subjects, the use of these platforms may become problematic and generate functioning impairments in many life areas. Given this, the present research aimed at investigating the factor that may contribute to Social Media Addiction, by focusing on Fear of Missing Out and Family Functioning Patterns.

Methods

A sample of 303 social media users (Mage = 35.29; SD = 14.87; 65% females, 35% males) completed a survey including the Bergen Social Media Addiction Scale, Family Adaptability and Cohesion Evaluation Scales-IV, and Fear of Missing Out Scale. Data were analysed by implementing Pearson correlation and testing a mediation with the Structural Equation Model approach.

Results

Cohesion, flexibility, and disengagement family functioning patterns were significantly associated with the levels of social media addiction. These dimensions were inserted in the structural equation model, where the full mediation of fear of missing out in their relationship with social media addiction was shown.

Conclusions

The data showed the protective effect of flexible and cohesive family functioning patterns, as well as the role of disengagement and, sequentially, fear of missing out as risk factors. These findings may provide useful indications to elaborate tailored and effective therapeutic and preventive activity.
Psychometric properties of an arabic translation of the short form of Weinstein noise sensitivity scale (NSS-SF) in a community sample of adolescents
Authors: Azzi Noad Maria , Azzi Vanessa , Hallit Rabih , Malaeb Diana , Dabbous Mariam , Sakr Fouad , Fekih-Romdhane Feten , Obeid Sahar , Hallit Souheil
Published: November 2023

Background

The Weinstein Noise Sensitivity Scale (NSS) is widely recognized as a prominent unidimensional self-reported questionnaire to measure noise sensitivity, which is regarded as the foremost subjective factor moderating the impact of noise on perceived levels of annoyance. In this current study, we conducted an examination of the psychometric properties of a newly translated Arabic version of the short form of the scale (NSS-SF).

Methods

A sample of 527 Lebanese adolescents participated in the study, completing the NSS-SF with measures of noise annoyance and insomnia. The total sample was randomly divided into two subsamples. Exploratory-to-Confirmatory Factor Analysis (EFA-CFA) was conducted. The normed model chi-square (χ²/df), the Steiger-Lind root mean square error of approximation (RMSEA), the Tucker-Lewis Index (TLI) and the comparative fit index (CFI). Values ≤ 5 for χ²/df, and ≤ 0.08 for RMSEA, and 0.90 for CFI and TLI indicate good fit of the model to the data. Composite reliability in both subsamples was assessed using McDonald’s ω and Cronbach’s alpha.

Results

EFA results on the first split-half subsample revealed that one item (item 2) was removed because of low communality (< 0.3); the other 4 items converged on one factor, which explained 67.85% of the common variance (ω = 0.84 and α = 0.84). CFA was conducted on the second half-split subsample in adults according to the model obtained on the first split-half subsample; the fit indices were acceptable as follows: χ2/df = 5.07/2 = 2.54,p < .001, RMSEA = 0.076 (90% CI 0.001, 0.160), SRMR = 0.021, CFI = 0.992, and TLI = 0.976 (ω = 0.84 and α = 0.84). Configural, metric, and scalar invariance was supported across gender in the total sample.

Conclusion

Our findings substantiate that the Arabic version of the NSS-SF is a reliable, psychometrically valid instrument for assessing noise sensitivity among Arab adolescents, thereby enhancing its overall utility and applicability within Arab countries.
A method to characterize turquoise deposits in china using sedimentary environment sensitive elements
Authors: Xian Yiheng , Liang Yun , Yu Chun , Yang Liping , Wu Yanwang
Published: November 2023

‘Fingerprint’ identification is the key to turquoise provenance studies, but previous studies have met with limited success in China. Turquoises in China mainly occur in altered sedimentary rocks and are formed by weathering, leaching and sedimentation. This paper evaluates the potential for sedimentary environment sensitive elements to be used to distinguish between turquoise deposits in China. In this paper, the ratios of V/Mo, Ce/Ce*, Ni/Co, Sr/Ba, Tl/Ga, Li/Ba and V/Cr were calculated for turquoise of different origins. Our results show that these parameters when used alongside Ga concentration permit effective discrimination between turquoise sources in China. This approach brings to light a new means of analyzing trace element databases and an untapped wealth of information that can be used for future turquoise provenance studies.
Usability enhancement model for unstructured text in big data
Authors: Adnan Kiran , Akbar Rehan , Wang Khor Siak
Published: November 2023

The task of insights extraction from unstructured text poses significant challenges for big data analytics because it contains subjective intentions, different contextual perspectives, and information about the surrounding real world. The technical and conceptual complexities of unstructured text degrade its usability for analytics. Unlike structured data, the existing literature lacks solutions to address the usability of unstructured text big data. A usability enhancement model has been developed to address this research gap, incorporating various usability dimensions, determinants, and rules as key components. This paper adopted Delphi technique to validate the usability enhancement model to ensure its correctness, confidentiality, and reliability. The primary goal of model validation is to assess the external validity and suitability of the model through domain experts and professionals. Therefore, the subject matter experts of industry and academia from different countries were invited to this Delphi, which provides more reliable and extensive opinions. A multistep iterative process of Knowledge Resource Nomination Worksheet (KRNW) has been adopted for expert identification and selection. Average Percent of Majority Opinions (APMO) method has been used to produce the cut-off rate to determine the consensus achievement. The consensus was not achieved after the first round of Delphi, whereas APMO cut-off rate was 70.9%. The model has been improved based on the opinions of 10 subject matter experts. After second round, the analysis has shown majority agreement for the revised model and consensus achievement for all improvements that validate the improved usability enhancement model. The final proposed model provides a systematic and structured approach to enhance the usability of unstructured text big data. The outcome of the research is significant for researchers and data analysts.
Incorporation of patient and public involvement in statistical methodology research: development of an animation
Authors: Worboys Hannah M. , Broomfield Jonathan , Smith Aiden , Stannard Rachael , Tyrer Freya , Vounzoulaki Elpida , Czyznikowska Barbara , Grewal-Santini Gurpreet , Greenwood Justin , Gray Laura J.
Published: November 2023

Background

Patient and Public Involvement and Engagement (PPIE) is important to all aspects of health research. However, there are few examples of successful PPIE in statistical methodology research. One of the reasons for this relates to challenges in the identification of individuals interested in statistical methodology research projects, and ambiguities over the importance of PPIE to these projects.

Methods

This project was conducted between August 2022 and August 2023. The aim is to report the process of the development of an accessible animation to describe what statistical methodology is and the importance of PPIE in statistical methodology research projects. For this, we combined storyboarding and scriptwriting with feedback from PPIE members and researchers.

Results

After three stages that incorporated feedback from the relevant stakeholders, we produced a final animation about PPIE in statistical methodology. The resulting animation used minimal text, simple animation techniques and was of short duration (< 3 min) to optimise the communication of the key messages clearly and effectively.

Conclusions

The resulting animation provides a starting point for members of the public to learn about PPIE in statistical methodology research and for methodologists who wish to conduct PPIE. We recommend further work to explore ways in which members of the public can be more meaningfully involved in methodology research.
Verifiable delay functions and delay encryptions from hyperelliptic curves
Authors: Chen Chao , Zhang Fangguo
Published: November 2023

Verifiable delay functions (VDFs) and delay encryptions (DEs) are two important primitives in decentralized systems, while existing constructions are mainly based on time-lock puzzles. A disparate framework has been established by applying isogenies and pairings on elliptic curves. Following this line, we first employ Richelot isogenies and non-degenerate pairings from hyperelliptic curves for a new verifiable delay function, such that no auxiliary proof and interaction are needed for the verification. Then, we demonstrate that our scheme satisfies all security requirements, in particular, our VDF can resist several attacks, including the latest attacks for SIDH. Besides, resorting to the same techniques, a secure delay encryption from hyperelliptic curves is constructed by modifying Boneh and Frankiln’s IBE scheme, which shares the identical setup with our VDF scheme. As far as we know, these schemes are the first cryptographic applications from high-genus isogenies apart from basic protocols, i.e., hash functions and key exchange protocols.
Three-dimensional-printed heart model can determine univentricular repair strategy in borderline double-outlet right ventricle
Authors: Katayama Yuzo , Isobe Sho , Ozawa Tsukasa , Fujii Takeshiro
Published: November 2023

Background

As double-outlet right ventricle has a wide pathophysiology spectrum, its comprehensive treatment strategy is determined based on relevant factors, such as the location and size of the ventricular septal defect, ventricular volume, and relationship of the great arteries. However, for borderline double-outlet right ventricle cases, it is occasionally difficult to decide the treatment strategy preoperatively. Recently, advances in 3D printing technology based on computed tomography have enabled the creation of 3D heart models of congenital heart disease that can precisely reproduce the anatomical structure of each patient even for complex anomalies. Herein, we describe a young patient in whom univentricular repair could be decided after confirming the 3D heart model and intracardiac structure under direct vision.

Case presentation

We describe a 3-year-old girl who was diagnosed with double-outlet right ventricle and severe pulmonary valve stenosis at birth and who underwent a left modified Blalock–Taussig shunt at 2 years of age. Preoperative examination revealed a borderline condition for biventricular repair characterized by a small left ventricle volume and side-by-side relationship of the great artery. After a preoperative discussion using a 3D heart model, we concurred that an intraoperative assessment would be made as to whether biventricular repair was possible or not. After confirming the intracardiac structure under direct vision, we assessed that intraventricular rerouting was not possible owing to the high risk of subvalvular aortic stenosis as there was no tissue that could be incised between the right ventricular free wall and the primary interventricular foramen, as indicated in the 3D heart model. Thus, atrial septostomy and Glenn anastomosis were performed.

Conclusions

We report a 3-year-old girl with a borderline double-outlet right ventricle in whom a univentricular repair strategy could be decided after confirming the 3D heart model and intracardiac structure under direct vision. A 3D-printed heart model can be useful in patients whose repair strategy is difficult to judge for the borderline double-outlet right ventricle.
Theoretical study of two-dimensional nanostructures
Authors: Βαϊλάκης Γεώργιος
Published: November 2023

Σε αυτή την διατριβή, εκτελούμε υπολογισμούς με τη θεωρία συναρτησιακού πυκνότητας (DFT) για την ατομική και ηλεκτρονική δομή δισδιάστατων (2D) νανοδομών με ατέλειες, ετεροδομών που αποτελούνται από συνδυασμούς μονοστρωματικών (ML) διχαλκογενιδίων μετάλλων μετάπτωσης (TMD), γραφενίου (Gr) και άλλων υλικών. Λόγω του μεγάλου μεγέθους των απαιτούμενων κυψελίδων, οι υπολογισμοί DFT είναι πολύ απαιτητικοί και τα αποτελέσματα χρειάζονται προσεκτική ερμηνεία με τη χρήση μη τετριμμένων υπολογιστικών εργαλείων. Παρουσιάζουμε λεπτομερώς τις μεθόδους που αναπτύσσουμε για την κατασκευή βελτιστοποιημένων κυψελίδων και για το ξεδίπλωμα των δομών ηλεκτρονικών ζωνών από τη ζώνη Brillouin (BZ) τους. Η ενεργός δομή ζωνών (EBS) που παράγεται επιτρέπει μια σαφή και άμεση σύγκριση μεταξύ των ηλεκτρονικών ιδιοτήτων των 2D νανοδομών με ατέλειες και των ετεροδομών με τις αρχικές ή τα ML που τις αποτελούν. Εφαρμόζοντας τη μεθοδολογία μας σε ετεροδομές Gr/TMD και TMD/TMD, εξηγούνται διάφορες πειραματικές παρατηρήσεις και γίνονται προβλέψεις. Η μεθοδολογία μας αποδεικνύεται επίσης πολύ χρήσιμη στη διερεύνηση ατελειών και προσρόφησης σε 2D ML. Σε συνδυασμό με τα πειράματα, οι υπολογισμοί μας με DFT δείχνουν πώς το WSe2 ML με προσμίξεις n-τύπου μετατρέπεται σε ημιαγωγό με προσμίξεις p-τύπου μέσω φωτοχλωρίωσης. Σε μια άλλη συνέργεια με το πείραμα, οι υπολογισμοί μας με DFT δείχνουν ότι οι κενές θέσεις Fe σε ML Fe2Se2 προκαλούν διαστολή στο πλέγμα με σχετικά χαμηλό ενεργειακό κόστος. Τέλος, παρουσιάζουμε τα θεωρητικά μας αποτελέσματα για την προσρόφηση υδρογόνου στην ετεροδομή CuCo2S4/Ni2P στο πλαίσιο μιας άλλης συνεργασίας με πειραματικούς. Οι μελέτες μας με βάση την DFT με τη μεθοδολογία που αναπτύξαμε για την διεξαγωγή προσομοιώσεων και την ερμηνεία των δομών ηλεκτρονικών ζωνών, σε συνδυασμό με δεδομένα από πειράματα, εκτός από την εξήγηση των παρατηρούμενων φαινομένων, παρέχουν ένα γενικό πλαίσιο για την πραγματοποίηση προβλέψεων που θα είναι χρήσιμες σε μελλοντικά πειράματα και εφαρμογές.
A comparative study of central macular thickness and endothelial cell changes in patients with diabetes mellitus undergoing phacoemulsification.
Authors: Kulkarni Aditi , Thool Archana
Published: November 2023

One of the most prevalent causes of blindness worldwide is cataracts. Along with the lens, Diabetes mellitus can impact all ocular structures. Diabetics have a higher incidence of cataract formation due to a variety of reasons. Diabetic people may have thicker corneas. The most frequent reason for poor vision recovery after surgery is macular edema, which is caused by cataract surgery. Therefore, after phacoemulsification, we are measuring the central macular thickness and central corneal thickness in diabetics in order to observe the post phacoemulsification macular edema and any significant changes in corneal thickness. We expect a morphological changes in endothelial cells, increase central corneal thickness and increase central macular thickness post-operatively after uncomplicated phacoemulsification surgery.
COVID-19 in the Arab countries: Three-year review
Authors: Alwahaibi Nasar , Al Maskari Muna , Al-Jaaidi Samiya , Al Dhahli Buthaina , Al Issaei Halima , Al Bahlani Shadia
Published: November 2023

Background Twenty-two Arab countries share a common language, history, and culture. Nevertheless, governmental policies, healthcare systems, and resources differ from one Arab country to another. We have been following Coronavirus (COVID-19) from the beginning in each Arab country. In the present study, we aimed to assess the prevalence of COVID-19 in the Arab world and to compare these findings with other significantly affected countries. Methods Websites of the World Health Organization, World COVID-vaccinations tracker, Worldometer, and Ministries of Health were used to extract COVID-19 data in all Arab countries between the period January 2020 to December 2022. Results All Arab countries had 14,218,042 total confirmed COVID-19 cases, 13,384,924 total recovered cases and 173,544 total related deaths. The trend demonstrated that the third quarter of 2021 recorded the highest death toll and the first quarter of 2022 recorded the highest number of confirmed and recovered cases. Compared to the top 15 affected countries, the Arab world ranked last as it had the lowest overall incidence per million population (PMP) of 31,609. The data on total deaths PMP showed that India had the lowest number of deaths with only 377 cases followed by the Arab world with 386 cases. Conclusions Although the number of confirmed, death, and subsequently recovered cases of COVID-19 have greatly reduced in the last quarter of 2022 in most Arab countries, many Arab countries still need to re-campaign about COVID-19 vaccines and raise awareness programs about boosters. COVID-19 has had a relatively smaller impact on Arab countries than on other countries that have been significantly affected.
A more open future for nuclear science and technology
Authors: Little Robert C. , Wright Guillaume , Merzari Elia , Burrows Kay , Cleaver James , Sunday Kaleigh , Strutz David , Fabian John
Published: November 2023

Nuclear science and technology underpins many of the world’s most important sectors, from electricity generation to applications in areas as diverse as medicine, food and agriculture, space applications, and a multitude of developing industrial uses such as for hydrogen generation, desalination, and heat generation. As society shifts focus to major challenges around future energy supply and more sustainable use of the planet’s resources, so nuclear science and its applications are changing also to continue to support improvement in people’s lives. Open science practices can accelerate the contributions of the underlying research behind this progress, via open access, open data, and reproducibility through transparency. Nuclear Science and Technology Open Research is a new open access publication venue of the American Nuclear Society, based on open science principles, and is here to help shape this brighter future.
When Does Beauty Pay? A Large-Scale Image-Based Appearance Analysis on Career Transitions
Authors: Malik Nikhil , Singh Param Vir , Srinivasan Kannan
Published: November 2023

When Does Beauty Pay? A Large-Scale Image Based Appearance Analysis on Career Transitions

In this study, we collect up to 15 years of career histories for over 40,000 MBA graduates from top 100 MBA programs in the United States. We find that attractive MBA graduates earn at least $2,508 more in yearly salary compared with plain-looking (unattractive) MBA graduates. The attractiveness premium is even larger for top 10 percentile attractive graduates, for those with arts undergraduate majors, and those in managerial roles, nontechnical jobs, and non-IT industries. Policymakers should note that the attractiveness bias is not much smaller in size than gender bias. It is pervasive over time (in individuals in their 30s and 40s and not just 20s) and across industries. It may need a similar focus as gender or racial bias in labor markets. Companies can craft their HR trainings and procedures guided by this finding. A study of this scale is only possible using cutting-edge machine learning and generative AI methods (instead of human subjects) for large-scale data processing.