bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of oil type on the development and oral bioavailability of self-nanoemulsifying drug delivery systems containing simvastatin
Authors: Hamdy Aya , El-Badry Mahmoud , Fathy M. , El-Sayed Ahmed M. 
Published: September 2024

AbstractThe aim of this work is to develop and evaluate self-nanoemulsifying drug delivery systems (SNEDDS) containing simvastatin to increase its oral bioavailability. Formulation EO 5 (Ethyl oleate 9.3% w/w: Tween 80 49.4% w/w: Propylene glycol 39.3% w/w) and Formulation CL 14 (Clove oil 54.3% w/w: Tween 80 34.4% w/w: Transcutol-P 9.3% w/w) were thoroughly studied. They showed emulsification time less than 1 min, droplet size in the nanometric range, and almost a complete drug release after 2 h. The in-vitro dissolution profile of both formulations was found to be significant in comparison to the pure drug in pH 1.2 and 7.4 buffers (P < 0.0001). Furthermore, they demonstrated superior anti-hyperlipidemic activity in comparison to simvastatin suspension (10 mg/kg/day). In order to investigate the impact of oil type on oral bioavailability, the selected formulations have been examined in terms of the in-vivo pharmacokinetic study, and formulation EO 5 was found to have higher bioavailability. After oral administration of a single dose (40 mg/kg) of simvastatin-loaded SNEDDS (CL14 and EO 5), a 1.5-fold and 1.95-fold increase in bioavailability were observed, respectively, as compared to simvastatin suspension. Hence, the results indicated that the developed SNEDDS could enhance the therapeutic efficacy and oral bioavailability of simvastatin.
Field validation of effects of species and flock size on echoes in avian radar surveys
Authors: Kamata Taito , Sato Takahiro , Tateishi Koki , Koumura Kayo , Kawaguchi Yoichi , Sekijima Tsuneo 
Published: September 2024

AbstractRadar is a powerful technology for surveys of avian movements. Validating the accuracy of radar detection is essential when establishing quantitative criteria for tracking bird trajectories and counting bird flocks. This study clarifies the positional and biological factors influencing the probability of detection (POD) and echo size on X-band marine radar. The bird trajectory for validation was obtained by ornithodolite at the same time as the radar scan. Distance was found to have a negative effect on POD and echo size, while elevation angle positively affected POD. Body mass and flock size positively affected POD and echo size. In predicting detection performance, the survey distance required to achieve 50% POD was 750 m or less for Grey-faced Buzzard, the lightest target species, but up to 1800 m for a pair of Bewick’s Swan. Our study provides survey and analysis procedures that allow for efficient validation using ornithodolites. Then, we identify the range settings that should be considered for target species and contribute to establishing criteria for quantitative radar bird surveys.
Trends and social determinants of the obesity epidemic among reproductive-age women in ten Asian countries
Authors: Thapa Subash , Ahmed Kedir Y. , Bizuayehu Habtamu Mellie , Huda M. Mamun , Chalise Binaya , Bore Meless G. , Belachew Sewunet Admasu , Hassen Tahir A. , Amsalu Erkihun , Shifti Desalegn Markos , Seid Abdulbasit , Mesfin Yonatan M. , Tegegne Teketo Kassaw , Dadi Abel F. , Odo Daniel Bogale , Kibret Getiye Dejenu , Ketema Daniel Bekele , Kassa Zemenu Yohannes , Anyasodor Anayochukwu E. , Mahmood Shakeel , Astawesegn Feleke Hailemichael , Ross Allen G. 
Published: September 2024

AbstractThe rapid epidemiological transition in Asian countries, resulting from the rising trend of urbanisation and lifestyle changes, is associated with an increasing risk of obesity in women of reproductive age. This is the first study to investigate the trends and population-attributable fraction (PAF) of obesity, and the interaction effects of education and wealth on obesity among reproductive-age women aged 15–49 years in ten Asian countries. This cross-sectional study examined the most recent (2000 to 2022) Demographic and Health Surveys (DHS) data from ten Central and Southeast Asian countries. Multilevel multinomial logistic regression models were used to compute odds ratios (ORs). PAFs adjusted for communality were calculated using adjusted ORs and prevalence estimates for each risk factor. This study included a weighted sample of 743,494 reproductive-age women. All the countries showed an increasing trend for obesity and a decreasing trend for underweight, except for the Maldives. The highest PAFs of obesity were associated with women who were married (PAF = 22.2%; 95% CI 22.1, 22.4), aged 35–49 years (PAF = 16.4%; 95% CI 15.5, 17.1), resided in wealthy households (PAF = 14.5%; 95% CI 14.4, 14.5), watched television regularly (PAF = 12.5%; 95% CI 12.1, 12.8), and lived in urban areas (PAF = 7.8%; 95% CI 7.7, 8.0). The combined PAF showed that these five risk factors were associated with 73.3% (95% CI 71.8, 74.9) of obesity among reproductive-age women. Interaction analysis between women’s education and household wealth revealed that having a secondary or higher level of education and residing in a wealthier household was associated with a lower risk of obesity (OR = 0.71, 95% CI 0.66, 0.76). The findings of this study suggest that, in order to address the rising rate of obesity among women in Asian countries, education and lifestyle modifications in urban areas should be a priority. Pakistan and the Maldives need to be a priority given the rapidly increasing trends in obesity and underweight subpopulations in their respective countries.
Systematic review and meta-analysis of the association between young maternal age and fetal abnormalities
Authors: Staniczek Jakub , Manasar-Dyrbuś Maisa , Rybak-Krzyszkowska Magda , Kondracka Adrianna , Orszulak Dominika , Niziński Kacper , Sadłocha Marcin , Drosdzol-Cop Agnieszka , Stojko Rafał , Illa Miriam 
Published: September 2024

AbstractFetal anomalies among young women and adolescents pose major public health concerns. This systematic review aims to elucidate the relationship between young maternal age and the incidence of fetal abnormalities. According to the systematic review and meta-analysis PRISMA protocol, cohort, cross-sectional and case–control studies were scrutinized to include 80,393,450 participants across diverse regions. The meta-analysis utilized Odds Ratios (OR) as the effect measure, adopting a random-effects model. The screening process involved 157 selected and verified manuscripts, which ultimately resulted in the final inclusion of 20 studied in the meta-analysis. The criterion for young maternal age was the age of ≤ 20 years. The meta-analysis revealed a pooled OR of 0.93 (95% CI: 0.82–1.05, p = 0.252), indicating no statistically significant association between young maternal age (≤ 20 years) and fetal anomalies. However, considerable heterogeneity (I² = 96.21%) was noted, prompting the use of a random-effects model to derive the reported results. The meta-analysis did not find statistically significant differences in the occurrence of congenital anomalies in fetuses of younger women than in overall population. Although due to significant heterogeneity of the analyzed studies, and a risk of bias, caution should be exercised when interpreting the results, further investigation may be warranted to understand the relationship between maternal age and risk of fetal anomalies. Nevertheless, the study shows significant differences, which diminish in collective analysis, suggests that factors beyond age may be influential. Specifically, the limited access to or quality of healthcare in certain regions could be a more critical factor than maternal age itself.
An indirect treatment comparison meta-analysis of digital versus face-to-face cognitive behavior therapy for headache
Authors: Huang Yan-Bing , Lin Li , Li Xin-Yu , Chen Bo-Zhu , Yuan Lu , Zheng Hui 
Published: September 2024

AbstractCognitive behavioral therapy (CBT) is effective for headache disorders. However, it is unclear whether the emerging digital CBT is noninferior to face-to-face CBT. An indirect treatment comparison (ITC) meta-analysis was conducted to assess the relative effects between them using standard mean differences (SMDs). Effective sample size (ESS) and required sample size (RSS) were calculated to demonstrate the robustness of the results. Our study found that digital CBT had a similar effect on headache frequency reduction (SMD, 0.12; 95%CI, −2.45 to 2.63) compared with face-to-face CBT. The ESS had 84 participants, while the RSS had 466 participants to achieve the same power as a non-inferior head-to-head trial. Digital CBT is as effective as face-to-face CBT in preventing headache disorders. Due to the heterogeneity (I2 = 94.5%, τ2 = 1.83) and the fact that most of the included studies were on migraine prevention, further head-to-head trials are warranted.
What's the Use of Worrying? Its Function and Its Dysfunction
Authors: Gladstone Gemma , Parker Gordon 
Published: September 2024

Objective: To provide an overview of theory and research regarding the phenomenology and function of worry. Method: A systematic literature search focusing on conceptualizations of worry as a cognitive activity and worry research over the last 20 years was conducted. Results: Worry can be both functional and dysfunctional. Disruption to daily functioning, perceived uncontrollability, pervasiveness and extensive coverage of worry themes (including ‘remote’ events and the presence of meta-worry), all have specificity to more severe and dysfunctional worry. Conclusions: Research investigating both the relationship between worry and anxiety and the attributes of severe worriers, has brought attention to its role in fostering emotional disturbance and has clarified factors relevant to treatment.
Power‐DETR: end‐to‐end power line defect components detection based on contrastive denoising and hybrid label assignment
Authors: Xie Zhiyuan , Dong Chao , Zhang Ke , Wang Jiacun , Xiao Yangjie , Guo Xiwang , Zhao Zhenbing , Shi Chaojun , Zhao Wei 
Published: September 2024

AbstractMaintenance of power transmission lines is essential for the safe and reliable operation of the power grid. The use of deep learning‐based networks to improve the performance of power line defect detection faces significant challenges, such as small target sizes, shape similarities, and occlusion issues. In response to these challenges, a transformer‐based end‐to‐end power line detection network called Power‐DETR is introduced. Initially, building upon Deformable DETR, a large pre‐trained model (Swin‐large) is utilized to increase the number of multi‐scale features, and activation checkpoint technology is applied to ensure effective training within limited memory capacity. Subsequently, a contrastive denoising training strategy is integrated to combat ambiguity and instability of the Hungarian matching algorithm during training, aiming to expedite model convergence. Additionally, a hybrid label assignment strategy combining OHEM and cost‐based ATSS is proposed to provide the model with high‐quality queries, ensuring adequate training for the decoder and enhancing encoder supervision. Experimental results substantiate the efficacy of the proposed Power‐DETR model as a novel end‐to‐end detection paradigm, surpassing both one‐stage and two‐stage detection models. Furthermore, the model demonstrates a significant 15.7% enhancement in mAP0.5 compared to the baseline.
Bilateral fusion low‐light image enhancement with implicit information constraints
Authors: Zhu Jiahui , Sang Shengbo , Jian Aoqun , Yang Le , Sang Luxiao , Ge Yang , Kang Rihui , Yang LiuWei , Tao Lei , Hao RunFang 
Published: September 2024

AbstractResearch on low‐light image enhancement focuses on improving image quality in dim conditions. Recently, deep learning has driven significant advancements, with many studies using neural networks to enhance low‐light images. However, most focus on complex network designs to increase nonlinearity, often neglecting the implicit information from local image transformations. This paper introduces an improved U‐net‐based method for low‐light enhancement, retaining the original encoding network and adding branch links in the decoding network. The method uses attention feature fusion to handle image noise and gradients separately, adjusting brightness through a gradient‐adaptive transform. This approach optimizes performance using loss functions like peak signal‐to‐noise ratio and colour consistency. Unlike previous methods, the approach emphasizes extracting implicit information from image gradients, achieving enhancement that aligns with the original brightness distribution. The result is enhanced images with high detail similarity to the original, achieved through end‐to‐end inference in experiments.
Single-Port da Vinci Robot–Assisted Cervical Esophagectomy: How to Do It
Authors: Hadzijusufovic Edin , Lozanovski Vladimir J. , Griemert Eva-Verena , Bellaio Luca , Lang Hauke , Grimminger Peter P. 
Published: September 2024

AbstractMinimally invasive esophagectomies, including robot-assisted procedures, have demonstrated superiority over traditional open surgery. Despite the prevalence of transhiatal and transthoracic approaches, cervical access is less common in minimally invasive esophageal surgery. Advancements in robotic systems, such as the da Vinci Single Port (SP), enable controlled transcervical extrapleural mediastinoscopic access, potentially reducing pulmonary complications and extending surgical options to patients with comorbidities. The da Vinci SP robot-assisted cervical esophagectomy (SP-RACE) employs an SP and laparoscopic approach, demonstrating feasibility with comparable lymphadenectomy and recurrent nerve palsy rates to transthoracic methods. This technique, performed for the first time in Europe at the University Hospital Mainz, involves a transcervical SP phase that allows for effective mediastinal dissection and esophageal mobilization. Despite technical challenges due to limited space, robotic systems enhance controlled access and eliminate arm collision. The da Vinci SP platform's advantages include improved triangulation, fewer interferences, and better control of instruments in confined spaces. This novel approach shows promise for patients with high esophageal tumors and those unsuitable for transthoracic surgery, warranting further investigation into its clinical utility and reproducibility.
Total Artificial Heart Implantation as a Bridge to Transplantation in Slovakia
Authors: Hulman Michal , Artemiou Panagiotis , Durdik Stefan , Lesny Peter , Olejarova Ingrid , Goncalvesova Eva , Gasparovic Ivo 
Published: September 2024

AbstractAlthough left ventricular assist device implantation represents the majority of durable mechanical circulatory support implants for patients with advanced heart failure, as many as 20 to 30% will subsequently have right heart failure requiring extended inotropic support or short-term mechanical circulatory support, and the total artificial heart is an established tool in the bridge to transplant armamentarium. The aim of this short report is to present our center's experience with the use of SynCardia total artificial heart. Between November 2017 and April 2021, 10 SynCardia total artificial heart devices were implanted. Of the 10 patients who underwent total artificial heart implantation, 6 (60%) were successfully bridged to transplant with a median time of 6.5 (interquartile range [IQR] 6–8) months, and 4 patients died on device support during the index hospitalization. The 30-day, 1-year, and 3-year survival rates after heart transplantation were the same at 66.7% (4/6). Despite the uncertain future of total artificial hearts, it remains a viable option for patients who require biventricular bridge to transplant or for a select subset of patients with advance heart failure who may not otherwise survive.
Differential effects of salinity and drought on germination and early seedling growth of Parkinsonia praecox
Authors: Villarreal Valeria , Llanes Analía , Sosa Laura 
Published: September 2024

Context Germination and seedling growth are critical stages in the establishment of a species under adverse environmental conditions. Parkinsonia praecox is a species that can establish in soils with high salt concentrations and water deficit conditions. Aims This study focused on the germination and early growth responses of P. praecox seeds exposed to different salinity and water deficit treatments, to understand its distribution and its potential to persist in stressful environments. Methods P. praecox seeds were exposed to solutions containing NaCl (for salinity) and polyethylene glycol (PEG; for water deficit) at a range of potentials −0.4, −0.8, −1.2, −1.5 and −1.9 MPa, and germination and early growth responses were evaluated. Controls were exposed to distilled water treatments (0 MPa). Key results The highest germination was obtained in the distilled water treatment, whereas drought imposed by PEG and salinity caused a decrease in the percentage and speed of germination. Seed germination significantly decreased at 1.2 MPa in the saline treatments but at −0.8 MPa in PEG solutions. However, at −1.2 MPa and higher, the germination rate was higher in PEG-treated seedlings compared to those exposed to NaCl. Considerable early seedling growth was observed in low potentials and high saline conditions. Conclusions The effects of salinity and drought on germination and early growth response of P. praecox contributes to the species’ restricted distribution in arid and saline regions. Implications These findings advance our knowledge of P. praecox responses under stressful conditions, highlighting this woody species’ potential as a candidate in the rehabilitation of degraded environments.
Circuit-theoretic phenomenological model of an electrostatic gate-controlled bi-SQUID
Authors: Kong Thomas X , Cruddas Jace , Marenkovic Jonathan , Tang Wesley , De Simoni Giorgio , Giazotto Francesco , Tettamanzi Giuseppe C 
Published: September 2024

Abstract
A numerical model based on a lumped circuit element approximation for a bi-superconducting quantum interference device (bi-SQUID) operating in the presence of an external magnetic field is presented in this paper. Included in the model is the novel ability to capture the resultant behaviour of the device when a strong electric field is applied to its Josephson junctions by utilising gate electrodes. The model is used to simulate an all-metallic SNS (Al-Cu-Al) bi-SQUID, where good agreement is observed between the simulated results and the experimental data. The results discussed in this work suggest that the primary consequences of the superconducting field effect induced by the gating of the Josephson junctions are accounted for in our minimal model; namely, the suppression of the junctions super-current. Although based on a simplified semi-empirical model, our results may guide the search for a microscopic origin of this effect by providing a means to model the voltage response of gated SQUIDs. Also, the possible applications of this effect regarding the operation of SQUIDs as ultra-high precision sensors, where the performance of such devices can be improved via careful tuning of the applied gate voltages, are discussed at the end of the paper.
The non-exponential decay characteristics of HTS NI-class coils in sudden discharge experiments
Authors: Wang Luzhong , Wang Lei , Hu Xinning , Wang Qiuliang 
Published: September 2024

Abstract
The decay of the voltage and magnetic field of the high-temperature superconductivity no-insulation-class (NI-class) coil in the sudden discharge experiment is usually considered to be exponential. However, our experiment found that it is not accurate to describe the decay characteristics of the NI-class coil with a simple exponential function. Combined with equivalent circuit models of the NI-class coil, we use the theory of ordinary differential equations to explain the non-exponential decay characteristics and point out that it is closer to the matrix exponential characteristics. Based on this finding, we believe that the non-uniform turn-to-turn contact resistivity (TTCR) is an important cause of the non-exponential decay characteristics of the NI-class coil. Reverse thinking leads us to realize that the voltage decay curve of the NI-class coil in the sudden discharge experiment contains the distribution information of its TTCR. Therefore, we propose a method for measuring the TTCR of NI-class coils based on the matrix exponential model. The co-simulation combining the finite element model and the equivalent circuit model shows that the non-uniformly distributed TTCR has a great influence on the transient process of the NI-class coil, which makes the current and current density in the transient process vary greatly in different regions of the NI-class coil. Those findings mean that the simulation study of the NI-class coils and magnets with uniform TTCR usually used in the past may be far from the actual situation.
Masking quantum information in multipartite systems via Fourier and Hadamard matrices
∗
Authors: Bai Chen-Ming , Wang Meng-Ya , Zhang Su-Juan , Liu Lu 
Published: September 2024

Abstract
Quantum information masking (QIM) is a crucial technique for protecting quantum data from being accessed by local subsystems. In this paper, we introduce a novel method for achieving 1-uniform QIM in multipartite systems utilizing a Fourier matrix. We further extend this approach to construct an orthogonal array with the aid of a Hadamard matrix, which is a specific type of Fourier matrix. This allows us to explore the relationship between 2-uniform QIM and orthogonal arrays. Through this framework, we derive two distinct 2-uniform quantum states, enabling the 2-uniform masking of original information within multipartite systems. Furthermore, we prove that the maximum number of quantum bits required for achieving a 2-uniformly masked state is 2
n
− 1, and the minimum is 2
n−1 + 3. Moreover, our scheme effectively demonstrates the rich quantum correlations between multipartite systems and has potential application value in quantum secret sharing.
An optimization-based equilibrium measure describing fixed points of non-equilibrium dynamics: application to the edge of chaos
Authors: Qiu Junbin , Huang Haiping 
Published: September 2024

Abstract
Understanding neural dynamics is a central topic in machine learning, non-linear physics, and neuroscience. However, the dynamics are non-linear, stochastic and particularly non-gradient, i.e., the driving force cannot be written as the gradient of a potential. These features make analytic studies very challenging. The common tool is the path integral approach or dynamical mean-field theory. Still, the drawback is that one has to solve the integro-differential or dynamical mean-field equations, which is computationally expensive and has no closed-form solutions in general. From the associated Fokker–Planck equation, the steady-state solution is generally unknown. Here, we treat searching for the fixed points as an optimization problem, and construct an approximate potential related to the speed of the dynamics, and find that searching for the ground state of this potential is equivalent to running approximate stochastic gradient dynamics or Langevin dynamics. Only in the zero temperature limit, can the distribution of the original fixed points be achieved. The resultant stationary state of the dynamics exactly follows the canonical Boltzmann measure. Within this framework, the quenched disorder intrinsic in the neural networks can be averaged out by applying the replica method, which leads naturally to order parameters for the non-equilibrium steady states. Our theory reproduces the well-known result of edge-of-chaos. Furthermore, the order parameters characterizing the continuous transition are derived, and the order parameters are explained as fluctuations and responses of the steady states. Our method thus opens the door to analytically studying the fixed-point landscape of the deterministic or stochastic high dimensional dynamics.