bluuebunny/crossref_metadata_2025_split huggingface dataset:
HepG2 exosomes coated luteolin nanoparticles remodeling hepatic stellate cells and combination with sorafenib for the treatment of hepatocellular carcinoma
Authors: Ye Shengjie , Pan Xier , Zou Linghui , Ni Shuting , Zhang Lei , Hong Yanlong , Hu Kaili 
Published: February 2024

Abstract
Background
Hepatocellular carcinoma (HCC) is a common malignant tumor with high mortality and recurrence rate. The efficacy of the first-line drug sorafenib is impeded by drug resistance, which is closely related to activated hepatic stellate cells (HSCs). The natural product luteolin is good at alleviating the activation of HSC. However, its clinical application is limited to poor solubility, bioavailability and lacking of HSCs targeting effects. This study aims to construct luteolin-loaded biomimetic nanoparticles based on HepG2 exosomes for targeting HSCs and enhancing the therapeutic effects of sorafenib on HCC.

Methods
The HepG2 exosomes extracted were identified by size distribution, Zeta potential and characteristic proteins. Luteolin-loaded polylactic acid-glycolic acid (PLGA) nanoparticles (Lut-NPs) were prepared and wrapped by HepG2 exosomes to form biomimetic nanoparticles (Exo-Lut-NPs). A HepG2 cell sorafenib-resistant model induced by LX2 cell conditioned medium (CM) was established to evaluate the effects of Exo-Lut-NPs on reversing sorafenib-resistant in vitro. And the combined therapeutic effects of Exo-Lut-NPs with sorafenib were evaluated on a HepG2/LX2 subcutaneous xenograft tumor model in vivo.

Results
The particle size, drug loading capacity and encapsulation efficiency of Exo-Lut-NPs were 165 ± 10 nm, 2.6 ± 0.2% and 56.9 ± 4.3%, respectively. The in vitro HepG2 sorafenib-resistant model was induced by the CM of LX2 cells, and the results showed that Exo-Lut-NPs partially reversed the sorafenib resistance of HepG2 cells by affecting the CM of LX2 cells. The combined therapy of Exo-Lut-NPs with sorafenib markedly suppressed tumor growth in a HepG2/LX2 subcutaneous xenograft tumor model.

Conclusions
This study suggests that the Exo-Lut-NP is a novel and promising biomimetic delivery system which can combine with sorafenib for HCC therapy.
Refractive error and vision related quality of life
Authors: Rajabpour Mojtaba , Kangari Haleh , Pesudovs Konrad , Khorrami-nejad Masoud , Rahmani Saeed , Mohaghegh Sahar , Moradnejad Shima 
Published: February 2024

Abstract
Background
To investigate and compare the vision-related quality of life (QOL) in different types of refractive error (RE).

Methods
This cross-sectional study was performed on 200 subjects, categorized into four groups of 50 each, consisting of subjects with myopia, hyperopia, astigmatism, and emmetropia, the latter being the control group. The mean age of the participants was 23.88 ± 5.87 (range, 15 to 38: 110 females and 90 males). RE was defined as myopia, spherical equivalent (SE) < -0.25 diopters (D), hyperopia, SE > + 0.25 D, astigmatism, cylinder < -0.25 D, and emmetropia (-0.25 ≤ SE(D) ≤ + 0.25, cylinder ≥ -0.25). Groups are subdivided into very low magnitudes of RE (0.50 and 0.75) and significant RE (1.00 ≤). Vision-related QOL was assessed using the Persian version of the 25-item National Eye Institute Visual Functioning Questionnaire (NEI-VFQ-25). The NEI-VFQ was scored as visual function and socioemotional scales using Rasch analysis.

Results
Corrected myopia, astigmatism, uncorrected myopia, and hyperopia had a lower vision-related QOL than emmetropes. (P < 0.001). Vision-related QOL in myopic subjects was lower than that in astigmatic participants. Very low myopes, who often do not use correction, had a significantly lower QOL than other groups.

Conclusion
Individuals with refractive errors experience a lower QOL score than those without. Notably, the adverse impact on QOL score is significantly greater in myopic cases, particularly very low myopia, compared to other refractive errors. Therefore, it is strongly recommended not to neglect managing very low myopia since it may improve participants’ QOL.
Pediatrician and parental evaluation of child neurodevelopment at 2 years of age
Authors: Segre Giulia , Clavenna Antonio , Roberti Elisa , Scarpellini Francesca , Cartabia Massimo , Pandolfini Chiara , Tessarollo Valeria , Costantino Ilaria , Bonati Maurizio 
Published: February 2024

Abstract
Background
The early identification of infants with a risk for neurodevelopmental disorders in the first few years of life is essential for better developmental outcomes. Screenings should be carried out by combining the family pediatricians’ and parents’ perspectives, the two fundamental sources of information on children’s health. The present study has three aims: (a) to test the feasibility of parent-report instruments to detect warning signs in their children’s development; (b) to ascertain whether there is an agreement between the family pediatricians’ (FP) clinical judgments of warning signs and the parental perceptions; (c) to determine whether there is a link between parents’ distress and child development.

Methods
Within the NASCITA birth cohort, in addition to the family pediatrician’s clinical evaluation with routine tools, the Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) was completed by parents to assess the child’s language, social skills, behavior, and sensory areas. Parents were also asked to complete the Parenting Stress Index, Short Form (PSI-SF) to verify the magnitude of stress in the parent-child system. Univariate and multivariate analyses were performed to evaluate the association between child and parental characteristics and the presence of warning signs.

Results
The follow-up assessment was completed for 435 infants: 69 (15.8%) presented warning signs: 43 in the pediatrician’s assessment and 36 in the M-CHAT-R (10 in both). A total of 16 children (14 with warning signs) received a diagnosis after a specialist evaluation. Being male (OR 2.46, 95%CI: 1.23–4.91) and having sleep disorders (OR 2.43, 95% CI 1.17–5.04) was associated with a greater likelihood of warning signs in the multivariate analysis, while reading aloud was a protective factor (not exposed versus exposed (OR = 3.14; 95% CI 1.60–6.17). For 73 children (18.4%), at least one parent tested positive for PSI-SF. An increased prevalence of parental distress was observed in children with warning signs (OR 2.36, 95% CI 1.27–4.37).

Conclusions
Integrating physician and parental perspectives during well-child visits and in clinical practice appears feasible and can improve the identification of children at risk of developmental disorders.
The neuroprotective potential of curcumin on T. Spiralis infected mice
Authors: Abdeltawab Magda SA , Abdel-Shafi Iman R. , Aboulhoda Basma Emad , Mahfoz Amal M. , Hamed Alshaimaa MR 
Published: February 2024

Abstract
Background
Trichinella spiralis can affect the brain by inducing inflammatory and vascular changes. Drug management with the antiparasitic drug albendazole can be enhanced by natural compounds such as curcumin. The potential benefit of curcumin as an adjuvant to albendazole in the management of cerebral affection during experimental T. spiralis infection was evaluated. Animals received either curcumin 150 mg/Kg, albendazole 50 mg/Kg or a combination of both drugs. Animal groups receiving treatment were compared with infected and non-infected control groups. Blood levels of reduced glutathione (GSH) and dopamine were measured, and brain tissue expression of cyclooxygenase-2 enzyme (COX-2) and CD34 was assessed by immunohistochemistry.

Results
T. spiralis infection resulted in a state of oxidative stress, which was improved by albendazole and curcumin. Also, both drugs restored the peripheral dopamine level, which was decreased in infected non-treated mice. Curcumin was also found to be efficient in improving brain pathology and reducing local COX-2 and CD 34 expression.

Conclusions
Inflammatory and pathological changes during neurotrichinosis can be improved by the addition of curcumin to conventional anti-parasitic drugs.
Computational design of anti-cancer peptides tailored to target specific tumor markers
Authors: Naeem Aisha , Noureen Nighat , Al-Naemi Shaikha Khalid , Al-Emadi Jawaher Ahmed , Khan Muhammad Jawad 
Published: February 2024

AbstractAnti-cancer peptides (ACPs) are short peptides known for their ability to inhibit tumor cell proliferation, migration, and the formation of tumor blood vessels. In this study, we designed ACPs to target receptors often overexpressed in cancer using a systematic in silico approach. Three target receptors (CXCR1, DcR3, and OPG) were selected for their significant roles in cancer pathogenesis and tumor cell proliferation. Our peptide design strategy involved identifying interacting residues (IR) of these receptors, with their natural ligands serving as a reference for designing peptides specific to each receptor. The natural ligands of these receptors, including IL8 for CXCR1, TL1A for DcR3, and RANKL for OPG, were identified from the literature. Using the identified interacting residues (IR), we generated a peptide library through simple permutation and predicted the structure of each peptide. All peptides were analyzed using the web-based prediction server for Anticancer peptides, AntiCP. Docking simulations were then conducted to analyze the binding efficiencies of peptides with their respective target receptors, using VEGA ZZ and Chimera for interaction analysis. Our analysis identified HPKFIKELR as the interacting residues (IR) of CXCR-IL8. For DcR3, we utilized three domains from TL1A (TDSYPEP, TKEDKTF, LGLAFTK) as templates, along with two regions (SIKIPSS and PDQDATYP) from RANKL, to generate a library of peptide analogs. Subsequently, peptides for each receptor were shortlisted based on their predicted anticancer properties as determined by AntiCP and were subjected to docking analysis. After docking, peptides that exhibited the least binding energy were further analyzed for their detailed interaction with their respective receptors. Among these, peptides C9 (HPKFELY) and C7 (HPKFEWL) for CXCR1, peptides D6 (ADSYPQP) and D18 (AFSYPFP) for DcR3, and peptides P19 (PDTYPQDP) and p16 (PDQDATYP) for OPG, demonstrated the highest affinity and stronger interactions compared to the other peptides. Although in silico predictions indicated a favorable binding affinity of the designed peptides with target receptors, further experimental validation is essential to confirm their binding affinity, stability and pharmacokinetic characteristics.
RETRACTED ARTICLE: Efficient identity security authentication method based on improved R-LWE algorithm in IoT environment
Authors: Yang Lin 
Published: February 2024

AbstractIn recent years, various smart devices based on IoT technology, such as smart homes, healthcare, detection, and logistics systems, have emerged. However, as the number of IoT-connected devices increases, securing the IoT is becoming increasingly challenging. To tackle the increasing security challenges caused by the proliferation of IoT devices, this research proposes an innovative method for IoT identity authentication. The method is based on an improved ring-learning with errors (R-LWE) algorithm, which encrypts and decrypts communication between devices and servers effectively using polynomial modular multiplication and modular addition operations. The main innovation of this study is the improvement of the traditional R-LWE algorithm, enhancing its efficiency and security. Experimental results demonstrated that, when compared to number theory-based algorithms and elliptic curve cryptography algorithms at a 256-bit security level, the enhanced algorithm achieves significant advantages. The improved algorithm encrypted 20 data points with an average runtime of only 3.6 ms, compared to 7.3 ms and 7.7 ms for the other algorithms. Similarly, decrypting the same amount of data had an average runtime of 2.9 ms, as opposed to 7.3 ms and 8 ms for the other algorithms. Additionally, the improved R-LWE algorithm had significant advantages in terms of communication and storage costs. Compared to the number theory-based algorithm, the R-LWE algorithm reduced communication and storage costs by 3 °C each, and compared to elliptic curve cryptography, it reduced them by 4 °C each. This achievement not only enhances the efficiency of encryption and decryption but also lowers the overall operational costs of the algorithm. The research has made significant strides in improving the security and efficiency of IoT device identity authentication by enhancing the R-LWE algorithm. This study provides theoretical and practical foundations for the development and application of related technologies, as well as new solutions for IoT security.
Predictors of treatment outcome for individuals with alcohol use disorder with a goal of controlled drinking
Authors: Ingesson-Hammarberg Stina , Jayaram-Lindström Nitya , Hammarberg Anders 
Published: February 2024

Abstract
Background
Research is lacking on predictors of outcome for the treatment of alcohol use disorder (AUD) with a goal of controlled drinking (CD). The aim of the study was to investigate one-year outcomes of an RCT, investigating Behavioral Self-Control Training (BSCT) and Motivational Enhancement Therapy (MET) and predictors of positive outcome for weekly alcohol consumption, CD and symptom reduction in AUD.

Methods
This study is based on secondary analyses from a randomized controlled trial including 250 individuals with AUD (52% men) recruited from three specialized addiction clinics in Stockholm, Sweden. Linear and logistic mixed regression models were used for outcomes at 52 weeks, and linear and logistic regression models for the predictor analyses.

Results
BSCT was superior to MET for the change between baseline to 52 weeks for the outcome of CD, defined as low-risk drinking below ten standard drinks per week for both genders (p = 0.048). A total of 57% of individuals in BSCT attained a level of CD, as opposed to 43% in MET. Females were significantly better in attaining low-risk drinking levels compared to men. The predictor for obtaining CD and reducing weekly alcohol consumption, was a lower baseline alcohol consumption. Predictors of symptom reduction in AUD were lower baseline level of AUD, and a lower self-rated impaired control over alcohol consumption.

Conclusions
BSCT was superior to MET in obtaining CD levels, and women were superior to men for the same outcome. The study corroborated baseline consumption levels as an important predictor of outcome in CD treatments. The study contributes with important knowledge on key treatment targets, and knowledge to support and advice patients in planning for treatment with a goal of controlled drinking.
Trial registration: The original study was registered retrospectively at isrtcn.com (14539251).
Resistance Behaviours of Clamped HFR-LWC Beam Using Membrane Approach
Authors: Chen Wanxiang , Cai Jiawen , Huang Junxuan , Yang Xiaoyu , Ma Jianjun 
Published: February 2024

AbstractBeam-like members sustaining the combined action of transverse load and membrane force exhibit a special load response to progressive deflection. A theoretical model is therefore developed to depict the resistance behaviours of clamped reinforced concrete (RC) beams observed in tests. The support-induced membrane effects are simulated by a longitudinal spring and a rotational spring. The load responses to progressive deflection are obtained using the membrane approach, and the prediction accuracies of proposed method are validated by a series of four-point bending tests on hybrid fibre reinforced-lightweight aggregate concrete (HFR-LWC) beam. It is illustrated that the bearing capacities of clamped HFR-LWC beam are significantly enhanced by the membrane effect. Ultimate load of the clamped beam ranges from 64.0 to 184.0 kN, and the larger bearing capacity compared with simply supported beam is obtained. An ultimate load of 1.85 to 5.31 times the yield line value is achieved, and thereby, the ultimate resistance of the clamped beam might be seriously underestimated using yield line approach. A strong support constraint is beneficial for increasing the load-carrying capacity of clamped HFR-LWC beam, although the large longitudinal restraint stiffness would inevitably gives rise to brittle failure. The relative errors between predicted load and measured value are less than 7.23%, indicating that the presented model is a promising tool to estimate the ultimate load of clamped beam-like member.
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
Authors: Qu Fangming , Dang Nolan , Furht Borko , Nojoumian Mehrdad 
Published: February 2024

AbstractThe flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation involves monitoring driver behavior through observable physiological indicators, including the driver’s facial expressions, hand placement on the wheels, and the driver’s body postures. An artificial intelligence (AI) system under consideration alerts drivers about potentially unsafe behaviors using real-time voice notifications. This paper offers an all-embracing survey of neural network-based methodologies for studying these driver bio-metrics, presenting an exhaustive examination of their advantages and drawbacks. The evaluation includes two relevant datasets, separately categorizing ten different in-cabinet behaviors, providing a systematic classification for driver behaviors detection. The ultimate aim is to inform the development of driver behavior monitoring systems. This survey is a valuable guide for those dedicated to enhancing vehicle safety and preventing accidents caused by careless driving. The paper’s structure encompasses sections on autonomous vehicles, neural networks, driver behavior analysis methods, dataset utilization, and final findings and future suggestions, ensuring accessibility for audiences with diverse levels of understanding regarding the subject matter.
Intraoperative Videogrammetry and Photogrammetry for Photorealistic Neurosurgical 3-Dimensional Models Generated Using Operative Microscope: Technical Note
Authors: Krogager Markus E. , Fugleholm Kåre , Poulsgaard Lars , Springborg Jacob B. , Mathiesen Tiit I. , Cornelius Jan F. , Nakov Vladimir , Laleva Lili , Milev Milko , Spiriev Toma 
Published: February 2024

BACKGROUND AND OBJECTIVES:
Intraoperative orientation during microsurgery has a prolonged learning curve among neurosurgical residents. Three-dimensional (3D) understanding of anatomy can be facilitated with realistic 3D anatomic models created from photogrammetry, where a series of 2-dimensional images is converted into a 3D model. This study implements an algorithm that can create photorealistic intraoperative 3D models to exemplify important steps of the operation, operative corridors, and surgical perspectives.

METHODS:
We implemented photograph-based and video-based scanning algorithms for uptakes using the operating room (OR) microscope, targeted for superficial structures, after surgical exposure, and deep operative corridors, in cranial microsurgery. The algorithm required between 30–45 photographs (superficial scanning), 45–65 photographs (deep scanning), or approximately 1 minute of video recording of the entire operative field to create a 3D model. A multicenter approach in 3 neurosurgical departments was applied to test reproducibility and refine the method.

RESULTS:
Twenty-five 3D models were created of some of the most common neurosurgical approaches—frontolateral, pterional, retrosigmoid, frontal, and temporal craniotomy. The 3D models present important steps of the surgical approaches and allow rotation, zooming, and panning of the model, enabling visualization from different surgical perspectives. The superficial and medium depth structures were consistently presented through the 3D models, whereas scanning of the deepest structures presented some technical challenges, which were gradually overcome with refinement of the image capturing process.

CONCLUSION:
Intraoperative photogrammetry is an accessible method to create 3D educational material to show complex anatomy and demonstrate concepts of intraoperative orientation. Detailed interactive 3D models, displaying stepwise surgical case-based anatomy, can be used to help understand details of the operative corridor. Further development includes refining or automatization of image acquisition intraoperatively and evaluation of other applications of the resulting 3D models in training and surgical planning.
A pilot program of HIV pre-exposure prophylaxis in Thai youth
Authors: Rungmaitree Supattra , Werarak Peerawong , Pumpradit Wadchara , Phongsamart Wanatpreeya , Lapphra Keswadee , Wittawatmongkol Orasri , Durier Yuitiang , Maleesatharn Alan , Kuttiparambil Beena , Cressey Tim R. , Hoffman Risa M. , Chokephaibulkit Kulkanya 
Published: February 2024

Introduction
There are gaps in knowledge and experience of antiretroviral pre-exposure prophylaxis (PrEP) delivery in adolescents.

Methods
This pilot study enrolled Thai adolescents 14–20 year-old without HIV who reported risk behaviour. All participants were offered daily tenofovir/emtricitabine (TDF-FTC) and followed for 24 weeks. HIV testing, renal function, bone density scan, and sexually transmitted infection (STI) testing including syphilis serology and urine molecular testing for gonorrhoea and C. trachomatis were performed at baseline and weeks 12 and 24. Adherence was evaluated through intracellular tenofovir diphosphate (TFV-DP) levels in dried blood spots.

Results
Of the 61 enrolled adolescents, median age 18.1 (IQR: 14.8–20.9) years, 46 (75.4%) were males and 36 (59%) were MSM. Retention to week 24 was 80.3%. One third (36%) had TFV-DP levels consistent with taking ≥6 pills/week at week 12 and 29% at week 24. The factors associated with taking ≥6 pills/week were being MSM (adjusted odds ratio [aOR]: 53.2, 95% CI: 1.6–1811; p = 0.027), presence of STI at baseline (aOR: 9.4, 95% CI: 1.5–58.5; p = 0.016), and self-report of decreased condom use while taking PrEP (aOR: 8.7, 95% CI: 1.4–56.6; p = 0.023). 31% had an STI at baseline and this declined to 18% at week 24. No renal or bone toxicity was observed and there were no HIV seroconversions.

Conclusions
Daily oral PrEP with FTC-TDF in high-risk Thai adolescents is feasible, accepted, well-tolerated, and had no increased risk compensation; however, low adherence was a major challenge. Adolescent-specific PrEP strategies including long-acting modalities are needed for successful HIV prevention.
RIBES FRAGRANS PALLAS: SUPERCRITICAL CO2 EXTRACTION AND TANDEM MASS SPECTROMETRY
Authors: Razgonova Maya Petrovna , Sabitov Andrey Shamilevich , Zinchenko Yulia Nikolaevna , Senotrusova Tamara Alekseevna , Li Natalya Gavroshevna , Vitomskova Ekaterina Anatolyevna , Golokhvast Kirill Sergeevich 
Published: February 2024

Supercritical fluid technology was used to obtain bioactive substances from leaves of Ribes fragrans Pallas. The supercritical fluid technology proved to be the most effective type of extraction, giving the highest yield of metabolome composition of R. fragrans. Several experimental conditions were investigated in the pressure range 50–300 bar, with the used volume of co-solvent ethanol in the amount of 2.5% in the liquid phase at a temperature in the range of 31–70 °C. The most effective extraction conditions are: pressure 200 Bar and temperature 55 °C for leaves of R. fragrans. The CO2-extract of leaves of R. fragrans contain various polyphenolic compounds and compounds of other chemical groups with valuable biological activity. For the first time, the metabolome of supercritical extracts of R. fragrans leaves was studied in this research. Tandem mass-spectrometry (HPLC-ESI – ion trap) was applied to detect target analytes. The four-stage ion separation mode was implemented 79 different bioactive components have been identified in R. fragrans extracts. Twenty chemical compounds from polyphenol group and twelve chemical compounds from other chemical groups were identified for the first time in genus Ribes.