bluuebunny/crossref_metadata_2025_split huggingface dataset:
The mental health of expeditionary women in Antarctica: A systematic review
Authors: de Souza Mayra Gabriela Machado , Junior Jairo Werner 
Published: September 2024

AbstractAntarctica is considered an isolated, confined, and extreme environment. Expeditionary members' health conditions deserve special attention in such environments since access to healthcare is difficult and social networks are limited. Women in Antarctica not only are a minority recently integrated into a predominantly male setting, but also need to withstand the environment's influence and demonstrate emotional intelligence, physical capacity, and intellectual competence to share this environment, which does not always provide structures adapted to their daily needs. Our objective was to analyze quantitative evidence on the health of expeditionary women in Antarctica. This is a systematic review of the narrative synthesis type, consulting the principal databases. The inclusion criteria were quantitative, observational studies with measures of mental disorders during expeditions on the frozen continent or after conclusion of the missions. Exclusion criteria were review studies and studies that only included men. Results: We retrieved 1865 publications and included 43 in the review that contained specific results for expeditionary women (n = 7); results of expeditionary crews of both sexes but reported without specification by gender (n = 25); and results pertaining to expeditionary members reported by terms that prevented specification by gender (n = 11). The literature is inconsistent on the mental health of expeditionary women in isolated, confined, and extreme environments. Even so, the review showed that women appear to be more prone to manifesting depressive symptoms and that gender appears to influence sleep quality. More studies are needed that specify the psychological alterations developed by women in Antarctica.
Joint learning of nonlinear representation and projection for fast constrained MRSI reconstruction
Authors: Li Yahang , Ruhm Loreen , Wang Zepeng , Zhao Ruiyang , Anderson Aaron , Arnold Paul , Huesmann Graham , Henning Anke , Lam Fan 
Published: September 2024

AbstractPurposeTo develop and evaluate a novel method for computationally efficient reconstruction from noisy MR spectroscopic imaging (MRSI) data.MethodsThe proposed method features (a) a novel strategy that jointly learns a nonlinear low‐dimensional representation of high‐dimensional spectroscopic signals and a neural‐network‐based projector to recover the low‐dimensional embeddings from noisy/limited data; (b) a formulation that integrates the forward encoding model, a regularizer exploiting the learned representation, and a complementary spatial constraint; and (c) a highly efficient algorithm enabled by the learned projector within an alternating direction method of multipliers (ADMM) framework, circumventing the computationally expensive network inversion subproblem.ResultsThe proposed method has been evaluated using simulations as well as in vivo H and P MRSI data, demonstrating improved performance over state‐of‐the‐art methods, with about 6 fewer averages needed than standard Fourier reconstruction for similar metabolite estimation variances and up to 100 reduction in processing time compared to a prior neural network constrained reconstruction method. Computational and theoretical analyses were performed to offer further insights into the effectiveness of the proposed method.ConclusionA novel method was developed for fast, high‐SNR spatiospectral reconstruction from noisy MRSI data. We expect our method to be useful for enhancing the quality of MRSI or other high‐dimensional spatiospectral imaging data.
The role of graphene quantum dots in cutting‐edge medical therapies
Authors: Arab Kosar , Jafari Aliakbar , Shahi Farangis 
Published: September 2024

AbstractGraphene quantum dots (GQDs), owing to their unique optical, electrical, and chemical properties, have emerged as promising nanomaterials for various biomedical applications. This review provides a comprehensive overview of the latest advancements in the utilization of GQDs in tissue engineering, wound healing, drug delivery systems, and other biomedical therapies. The inherent properties of GQDs, including high biocompatibility, tunable photoluminescence, and significant surface area, make them ideal candidates for enhancing medical treatments and diagnostics. In tissue engineering, GQDs improve the mechanical and biological performance of scaffolds, promoting cell proliferation and differentiation. For wound healing, GQDs enhance antimicrobial activity and facilitate faster tissue regeneration. Their potential in DDS is highlighted by their ability to deliver therapeutic agents efficiently, ensuring targeted and controlled release. Additionally, GQDs play a crucial role in biomedical therapies, particularly in cancer treatment, by enhancing drug efficacy and reducing side effects. While GQDs offer significant potential in enhancing medical treatments and diagnostics, challenges such as understanding their long‐term biocompatibility, potential cytotoxicity at higher concentrations, and the need for standardized synthesis methods remain critical areas for further research. This review also discusses the future directions and opportunities for GQDs, emphasizing their transformative potential in advancing modern healthcare solutions. The insights presented here contribute to the expanding field of GQD research, highlighting their potential to significantly enhance patient outcomes and drive healthcare innovations.
Association between cognitive performance and manual dexterity in patients with Parkinson's disease
Authors: Silva Maria Beatriz Barbosa da , Silva Ellen Cristine Ferreira da , Bispo Maria Eduarda Ferreira da Silva , Nogueira Thais de Souza , Leal Josevan Cerqueira , Mendes Felipe Augusto dos Santos 
Published: September 2024

AbstractIntroductionParkinson's disease (PD) is a progressive neurological condition resulting from the degeneration of dopaminergic neurons in the substantia nigra. Impaired manual dexterity and cognitive impairment are common symptoms and are often associated with recurrent adverse events in this population.ObjectiveTo verify the association between cognitive performance and manual dexterity in people with PD.MethodsThis is a cross‐sectional observational study, with 29 participants, who underwent cognitive and manual dexterity assessments, and the following tools were used: Trail Making Test, box and block test (BBT), Learning Test of Rey and Nine Hole Peg Test. Descriptive statistics for clinical and demographic data were performed using mean and standard deviation, and data normality was assessed using the Shapiro–Wilk test. Spearman's nonparametric test was used to determine the correlation between variables.ResultsOur findings revealed significant associations between cognitive performance and manual dexterity. The nine‐hole peg test positively correlated with TMT—Part A and Part B, establishing a relationship between manual dexterity and cognitive functions such as attention and mental flexibility. On the other hand, BBT showed an inverse relationship with TMT—Part B, indicating that longer time on this task was associated with lower manual dexterity.ConclusionFine manual dexterity had a significant correlation with visual search skills and motor speed, while gross motor dexterity had a negative correlation with cognitive skills. No significant results were demonstrated regarding the interaction between manual dexterity and memory.
Multifactorial inspiratory muscle training and its impact on respiratory and functional parameters of patients with diabetic polyneuropathy—A Randomized Controlled Trial
Authors: Sheraz Suman , Malik Arshad Nawaz , Ferraro Francesco Vincenzo , Siddiqi Furqan Ahmed 
Published: September 2024

AbstractBackground and PurposeDiabetic polyneuropathy is a long‐standing microvascular complication of diabetes that affects the postural control and functional mobility of patients. There are other microvascular complications, including pulmonary complications that reduce lung function. Multifactorial Inspiratory Muscle Training (IMT) can act as a home‐based technique targeted to affect both these complications. This study aims to determine the effects of IMT on respiratory and functional parameters in diabetic polyneuropathy patients.MethodsThis is a Pre‐Test Post‐Test Randomized Controlled Trial (NCT#04947163) with 62 diabetic polyneuropathy patients. Each was randomly assigned to the IMT or sham‐IMT group. Both the groups performed OTAGO exercises , with the sham‐IMT group performing IMT at 15% of baseline maximal inspiratory pressure (MIP), whereas IMT were trained at 50% of baseline MIP as an initial intensity, which was increased as per the tolerance of patients. Both groups performed training for 12 weeks. The study investigated diaphragmatic strength, pulmonary function, functional capacity through 6MWT, 30s sit to stand test and anterior trunk muscle endurance tested through sit up test as outcome variables. Data was analysed on SPSS v26 at the significance level of 0.0.5.ResultsThe IMT group significantly improved diaphragmatic strength, pulmonary function, 6MWT and anterior trunk muscle endurance when compared to the sham‐IMT group.ConclusionThe study concluded that home‐based IMT can improve pulmonary parameters including diaphragmatic strength and lung function as well as functional parameters including functional capacity in patients with diabetic polyneuropathy. The study was registered at ClinicalTrials.gov, NCT#04947163.
Two types of amino acid substitutions in the succinate dehydrogenase complex subunit confer resistance to benzovindiflupyr in Colletotrichum sublineola
Authors: Deng Liyuan , Sun Weijin , Yu Yang , Yang Yuheng , Fang Anfei , Tian Binnian , Wang Jing , Bi Chaowei 
Published: September 2024

AbstractBackgroundColletotrichum sublineola is the pathogenic fungus that causes sorghum anthracnose, which seriously threatens sorghum yield. Benzovindiflupyr is a succinate dehydrogenase inhibitor with good control effects on various crop diseases. However, the control of sorghum anthracnose by benzovindiflupyr and the risk of resistance to benzovindiflupyr in this pathogen are not well studied. Therefore, this study aimed to evaluate the benzovindiflupyr resistance and underlying mechanisms in C. sublineola.ResultsAnalysis of the sensitivity of 126 C. sublineola strains to benzovindiflupyr revealed that the average EC50 of the fungicide was 0.0503 ± 0.0189 μg mL−1, with a unimodal normal distribution curve. The survival fitness of 10 benzovindiflupyr‐resistant strains decreased to varying degrees compared with that of the wild‐type parental strains. Additionally, a significant positive cross‐resistance was observed between benzovindiflupyr and carboxin. Sequencing analyses identified two mutation sites, CsSdhBH249Y and CsSdhCG81V, in the resistant strains. Further molecular docking and site‐directed mutagenesis experiments confirmed that the CsSdhBH249Y and CsSdhCG81V substitutions conferred resistance to benzovindiflupyr in C. sublineola.ConclusionColletotrichum sublineola is sensitive to benzovindiflupyr and shows a moderate resistance risk to benzovindiflupyr. Two specific point substitutions, CsSdhBH249Y and CsSdhCG81V, are responsible for the resistance of C. sublineola to benzovindiflupyr. These findings offer a theoretical foundation for strategic application of the fungicide in controlling sorghum anthracnose, and for potentially delaying the emergence and progression of resistance. © 2024 Society of Chemical Industry.
The Rise of Nanotechnology in Pharmaceutical and Healthcare Packaging: Applications and Future Prospective
Authors: Bumbudsanpharoke Nattinee , Harnkarnsujarit Nathdanai , Gilchrist James F. , Ko Seonghyuk , Keawpetch Thitiporn 
Published: September 2024

ABSTRACTAdvanced nanotechnology, an emerging technology of nanoscale materials, has been rapidly expanding in the pharmaceutical and healthcare packaging industries to protect drug performance and ensure consumer safety as the primary goals. The review commences by establishing the fundamental principles of pharmaceutical packaging. It then delves into the diverse applications of nanotechnology for both enteral and parenteral dosage forms. A broad spectrum of nanomaterials is explored, ranging from established options like noble metal and polysaccharide‐based nanoparticles to cutting‐edge materials such as rare earth metal complexes and carbon dots. Furthermore, the review highlights the potent functionalities enabled by nanotechnology. These functionalities encompass anti‐counterfeiting measures utilizing holograms and photoluminescent topcoats, tracking and monitoring capabilities facilitated by radio frequency identification (RFID) tags, and colorimetric indicators for drug integrity. Additionally, the review discusses commercially available products, acknowledges safety considerations and regulatory frameworks, and concludes by outlining the future prospects of nanotechnology in pharmaceutical and healthcare packaging.
Asynchronous sliding‐mode control for two‐dimensional nonlinear Markov jump systems with time‐varying delays
Authors: Li Mengxin , Peng Dan 
Published: September 2024

AbstractBased on the Roesser model, the asynchronous sliding‐mode control (SMC) problem for two‐dimensional (2‐D) Markov jump systems (MJSs) with time‐varying delays is studied in this article. Since the controller mode cannot always access the system mode, the asynchronous phenomenon between the system mode and the controller mode will be described by the hidden Markov model (HMM). First, under the framework of HMM, the asynchronous 2D‐SMC law is designed based on 2‐D sliding surface function to ensure closed‐loop 2‐D discrete MJSs asymptotic mean square stability and the reachability of sliding regions around specific sliding surfaces. Second, an algorithm for deducing the law of 2‐D asynchronous SMC is presented. Finally, a numerical example is given to verify the effective of the results.
Firefly optimized neural network‐based trajectory tracking control of partially unknown multiplayer nonlinear systems
Authors: Wu Qiuye , Zhao Bo , Liu Derong 
Published: September 2024

AbstractIn this paper, we develop an integral reinforcement learning (IRL)‐based trajectory tracking control (TTC) scheme via firefly optimized neural networks for partially unknown multiplayer nonlinear systems. Under the developed TTC scheme, IRL is proved to be equivalent to the classical policy iteration, which guarantees the convergence of the IRL algorithm. By implementing the IRL method, the requirement of the drift dynamics is obviated. The TTC policy for each player is obtained by solving the coupled Hamilton–Jacobi equation with a critic neural network, whose weight vector is tuned by the firefly algorithm. The tracking error of the closed‐loop system is guaranteed to be stable via the Lyapunov's direct method. Simulation results illustrate the effectiveness and superiority of the present IRL‐based TTC scheme, and show that the success rate of system operation is increased by introducing the firefly algorithm.
Fair or Foul? Interrogating the Role of Baseball Knowledge in Studies of Knowledge and Comprehension
Authors: Reynolds Dan , Hattan Courtney , Markham Marissa 
Published: September 2024

AbstractAlthough links between knowledge and reading comprehension have been widely documented for decades, recent translational science publications (e.g., teacher journals, books, and podcasts) have increasingly referred to studies using baseball (a sport popular in the USA) as a proxy for knowledge to explain those links, especially within science of reading conversations. We conducted a systematic review of studies using baseball as a proxy for knowledge necessary for reading comprehension. After a comprehensive literature search, we found 19 “baseball studies” dating from 1978 to 2018, and we note that 13 of the studies used the same two measures of baseball knowledge. When analyzing the measures of baseball knowledge, we find that their measures of knowledge focused heavily on vocabulary and baseball trivia, and we found that the most common baseball comprehension text was deceptively complex. Finally, we analyzed recent research citations of baseball studies and found that even the oldest baseball studies are commonly cited in high‐impact journals even in the last 5 years. Ultimately, we interrogate the role of baseball knowledge studies in the body of research on knowledge and comprehension. We also call for reliance on non‐baseball studies to create a knowledge–comprehension translational science likely to positively impact systematic curricular improvement, move the science of reading conversation forward, and improve all students' reading comprehension at scale.
Gellan Gum‐Sodium Alginate Novel pH‐Sensitive Microspheres: Formulation and Characterization for Chronotherapy of Arthritis
Authors: Hiremath J. N. , Iliger Sudhir R. , Badalamoole V. , Manjunath H. R. , Raghu Anjanapura V. 
Published: September 2024

AbstractChronotherapy of arthritis that is to reduce the early morning pain in the joints using pH sensitive hydrogel microspheres for colon targeting is a novel approach. Novel ketoprofen‐loaded pH‐sensitive Gellan gum‐Sodium alginate (Gg‐NaAlg) microspheres were developed by emulsion crosslinking method using Ethylene glycol dimethacrylate (EGDMA) as a crosslinker. The formulations were characterized by Scanning Electron Microscopy (SEM), Fourier Transforms Infrared Spectroscopy (FT‐IR), and Thermogravimetry. The influence of process parameters such as particle size distribution, drug encapsulation efficiency and matrix swelling has been investigated. The average particle size of microspheres varied from 50 to 100 μm giving an encapsulation efficiency of 70 %. Due to the pH‐sensitive swelling nature of microspheres, the drug was released in the colonic medium of pH of 7.4, but almost no release in acidic media. The kinetics of drug release was analyzed using empirical equations to understand the transport of drugs through polymeric matrices. Drug release was extended up to 10 hr and pulsatile release was observed depending upon the variation in the pH from stomach to colon region.
Poly(3,4‐Ethylenedioxythiophene):Sulfamic Acid Modified Aramid Nanofibers: An Innovative Conductive Polymer With Enhanced Electromagnetic Interference Shielding and Thermoelectric Performance
Authors: Zhou Jianyu , Zhu Yan , Qian Kunpeng , Miao Miao , Feng Xin 
Published: September 2024

AbstractThe development of alternative conductive polymers for the well‐known poly (3,4‐ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) is of great significance for improving the stability in long‐term using and high‐temperature environments. Herein, an innovative PEDOT:S‐ANF aqueous dispersion is successfully prepared by using sulfamic acid (SA) to modified aramid nanofibers (S‐ANF) as an alternative dispersant for PSS and the subsequent in situ polymerization of PEDOT. Thanks to the excellent film forming ability and surface negative groups of S‐ANF, the PEDOT:S‐ANF films show comparable tensile strength and elongation to unmodified PEDOT:ANF. Meanwhile, PEDOT:S‐ANF has a high conductivity of 27.87 S cm−1, which is more than 20 times higher than that of PEDOT:PSS. The film exhibits excellent electromagnetic interference (EMI) shielding and thermoelectric performance, with a shielding effectiveness (SE) of 31.14 dB and a power factor (PF) of 0.43 µW m−1K−2. As a substitute for PSS, S‐ANF exhibits significant structural and physicochemical properties, resulting in excellent chemical and thermal stability. Even under harsh conditions such as immersing to 0.1 M HCl, 0.1 M NaOH, and 3.5% NaCl solution, or high temperature conditions, the PEDOT:S‐ANF films still maintain exceptional EMI shielding performance. Therefore, this multifunctional conductive polymer exhibits enormous potential and even proves its reliability in extreme situations.
Fe─S Bond‐Mediated Efficient Electron Transfer in Quantum Dots/Metal‐Organic Frameworks for Boosting Photoelectrocatalytic Nitrogen Fixation
Authors: Jiang Yuman , Zhang Fengying , Mei Yanglin , Li Tingsong , Li Yixuan , Zheng Kaibo , Guo Heng , Yang Guidong , Zhou Ying 
Published: September 2024

AbstractEffective electron supply to produce ammonia in photoelectrochemical nitrogen reduction reaction (PEC NRR) remains challenging due to the sluggish multiple proton‐coupled electron transfer and unfavorable carrier recombination. Herein, InP quantum dots decorated with sulfur ligands (InP QDs‐S2−) bound to MIL‐100(Fe) as a benchmark catalyst for PEC NRR is reported. It is found that MIL‐100(Fe) can combined with InP QDs‐S2− via Fe─S bonds as bridge to facilitate the electron transfer by experimental results. The formation of Fe─S bonds can facilitate electron transfer from inorganic S2− ligands of InP QDs to the Fe metal sites of MIL‐100(Fe) within 52 ps, ensuring a more efficient electron transfer and electron‐hole separation confirmed by the time‐resolved spectroscopy. More importantly, the process of photo‐induced carrier transfer can be traced by in situ attenuated total reflection surface‐enhanced infrared tests, certifying that the effective electron transfer can promote N≡N dissociation and N2 hydrogenation. As a result, InP QDs‐S2−/MIL‐100(Fe) exhibits prominent performance with an outstanding NH3 yield of 0.58 µmol cm−2 h−1 (3.09 times higher than that of MIL‐100(Fe)). This work reveals an important ultrafast dynamic mechanism for PEC NRR in QDs modified metal‐organic frameworks, providing a new guideline for the rational design of efficient MOFs photocathodes.
Asymmetric Kosmotropism‐Stabilized Double‐Layer Hydrogel for Low‐Cost Neutral Zinc‐Air Battery
Authors: Wu Jiawen , Zhang Bao , Fan Hong Jin 
Published: September 2024

AbstractZinc air battery (ZAB) provides a low‐cost and high‐energy density power source, particularly in wearable and portable devices. Despite the extensive research on air cathode catalysts, their practical application is hindered by low zinc utilization rate and severe corrosion and passivation in liquid‐based alkaline electrolytes. Herein, a double‐layer gel (DLKgel) is developed by leveraging the distinct kosmotropic properties of ZnCl2 and ZnSO4. Through phase separation induced by the kosmotropic differentiation (instead of membrane in decoupled systems), this DLKgel electrolyte serves a dual purpose of shielding cathode from irreversible reaction products and protecting Zn anode from passivation. Neutral ZABs with DLKgel demonstrate high zinc utilization rate of 89.3% and stable cycling over 800 h under a current density of 0.1 mA cm−2. The integration of DLKgel‐based ZABs into a flexible GPS tracking device is demonstrated, highlighting the potential for broad adoption of flexible ZABs in wearable and logistics applications.