bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations between autistic traits, depression, social anxiety and social rejection in autistic and non-autistic adults
Authors: Gurbuz Emine , Riby Deborah M. , South Mikle , Hanley Mary 
Published: April 2024

AbstractAutistic people frequently experience negative judgements from non-autistic people, often fuelled by misconceptions that autistic people lack empathy. Understanding responses to negative social judgement among autistic people is crucial because of the potential negative impact on wellbeing and future interactions. We investigated the role of autistic traits, social anxiety, and depression on behavioural indices of social rejection in 20 autistic (AUT; 11 males) and 40 non-autistic (N-AUT; 21 males) university students. Participants completed the Social Judgement Task (SJT) where they predicted whether they were liked by another person, then received feedback on whether those evaluations were correct. Participants also completed an Age Judgement Task (AJT) where they estimated the age of the pictured person. The AUT group had lower positive expectation scores, meaning less tendency to predict being liked. Across the whole sample, higher social anxiety predicted greater tendency to anticipate rejection from others, not autistic traits. These findings suggest early experiences of rejection might lead to a negative self-bias in autistic people and emphasise the importance of using a transdiagnostic approach by showing that social anxiety rather than autistic traits is associated with expectation of social rejection.
Evaluation of land resources carrying capacity based on entropy weight and cloud similarity
Authors: Xu Changlin , Yang Li 
Published: April 2024

AbstractLand is the foundation of human life and development, which is also the most important part of a country. The study of land carrying capacity is one of the important contents of land management, wherein the evaluation of land resource carrying capacity (LRCC) is an important reference for land resource planning. Aiming at the information fuzziness and uncertainty in the evaluation of LRCC, firstly, a comprehensive evaluation model based on entropy weight and normal cloud similarity was proposed, which is based on cloud model theory and combined with normal cloud similarity measurement method and entropy weight method. Secondly, taking the asphalt pavement experiment as an example for empirical analysis, the experimental results are consistent with the actual situation, which proves the feasibility and effectiveness of the proposed model. Finally, taking China’s Chongqing city as the research area, the proposed evaluation model is used to study LRCC. The research results indicate that the comprehensive carrying capacity and average carrying capacity of various systems in China’s Chongqing have been improved in the past decade. Among them, the comprehensive carrying capacity rose from the second level during the "12th Five-Year Plan" period to the third level during the "13th Five-Year Plan" period. In the future, it is necessary to focus on the improvement of soil and water resources system and economic and technological system. This conclusion reflects LRCC of Chongqing in China objectively and has a reference value for Chongqing's land planning.
Comparing targeted memory reactivation during slow wave sleep and sleep stage 2
Authors: Carbone Julia , Bibian Carlos , Born Jan , Forcato Cecilia , Diekelmann Susanne 
Published: April 2024

AbstractSleep facilitates declarative memory consolidation, which is assumed to rely on the reactivation of newly encoded memories orchestrated by the temporal interplay of slow oscillations (SO), fast spindles and ripples. SO as well as the number of spindles coupled to SO are more frequent during slow wave sleep (SWS) compared to lighter sleep stage 2 (S2). But, it is unclear whether memory reactivation is more effective during SWS than during S2. To test this question, we applied Targeted Memory Reactivation (TMR) in a declarative memory design by presenting learning-associated sound cues during SWS vs. S2 in a counterbalanced within-subject design. Contrary to our hypothesis, memory performance was not significantly better when cues were presented during SWS. Event-related potential (ERP) amplitudes were significantly higher for cues presented during SWS than S2, and the density of SO and SO-spindle complexes was generally higher during SWS than during S2. Whereas SO density increased during and after the TMR period, SO-spindle complexes decreased. None of the parameters were associated with memory performance. These findings suggest that the efficacy of TMR does not depend on whether it is administered during SWS or S2, despite differential processing of memory cues in these sleep stages.
MnFe2O4-NH2-HKUST-1, MOF magnetic composite, as a novel sorbent for efficient dye removal: fabrication, characterization and isotherm studies
Authors: Mohammadnejad Masoumeh , Alizadeh Sedigheh 
Published: April 2024

AbstractDye in industrial wastewater is one of the most serious environmental concerns due to its potentially harmful effects on human health. Many industrial dyes are carcinogenic, toxic and teratogenic. Removal and recovery of hazardous dyes from the effluents requires efficient adsorbents. In this study, magnetic adsorbent MnFe2O4-NH2-HKUST-1 was synthesized to remove methylene blue and crystal violet dyes from aqueous solutions. The synthesized adsorbent was characterized using FTIR, XRD, BET, VSM, SEM, TGA and Zeta potential techniques. The effect of different parameters such as pH, contact time, and adsorbent dosage on the removal of dyes was investigated. The dye adsorption process was investigated by UV–Vis spectrophotometry. The maximum adsorbent capacity was obtained as 149.25 mg/g for methylene blue and 135.13 mg/g for crystal violet. The adsorption equilibrium isotherm and kinetic models were plotted and results showed that the adsorption process for both dyes is a collection of physical and chemical adsorption based on langmuir and freundlich isotherm models, and follows the pseudo-second-order adsorption kinetics. This study shows that magnetic adsorbent MnFe2O4-NH2-HKUST-1 has a good potential for removal of methylene blue and crystal violet dyes from water in a short time (5 min) and it is easily separated from the solution by a magnetic field due to its magnetic property.
Eye movement function captured via an electronic tablet informs on cognition and disease severity in Parkinson’s disease
Authors: Koch Nils A. , Voss Patrice , Cisneros-Franco J. Miguel , Drouin-Picaro Alexandre , Tounkara Fama , Ducharme Simon , Guitton Daniel , de Villers-Sidani Étienne 
Published: April 2024

AbstractStudying the oculomotor system provides a unique window to assess brain health and function in various clinical populations. Although the use of detailed oculomotor parameters in clinical research has been limited due to the scalability of the required equipment, the development of novel tablet-based technologies has created opportunities for fast, easy, cost-effective, and reliable eye tracking. Oculomotor measures captured via a mobile tablet-based technology have previously been shown to reliably discriminate between Parkinson’s Disease (PD) patients and healthy controls. Here we further investigate the use of oculomotor measures from tablet-based eye-tracking to inform on various cognitive abilities and disease severity in PD patients. When combined using partial least square regression, the extracted oculomotor parameters can explain up to 71% of the variance in cognitive test scores (e.g. Trail Making Test). Moreover, using a receiver operating characteristics (ROC) analysis we show that eye-tracking parameters can be used in a support vector classifier to discriminate between individuals with mild PD from those with moderate PD (based on UPDRS cut-off scores) with an accuracy of 90%. Taken together, our findings highlight the potential usefulness of mobile tablet-based technology to rapidly scale eye-tracking use and usefulness in both research and clinical settings by informing on disease stage and cognitive outcomes.
Number of positive lymph nodes affects oncologic outcomes in cN0 mucoepidermoid carcinoma of the major salivary gland
Authors: Chang Le , Wang Yingnan , Wang Zhen , Xiao Di , Song Qi 
Published: April 2024

AbstractThe survival significance of the number of positive lymph nodes in salivary gland carcinoma remains unclear. Thus, the current study aimed to determine the effect of the number of positive lymph nodes on disease-specific survival (DSS) and overall survival (OS) in cN0 mucoepidermoid carcinoma (MEC) of the major salivary gland. Patients surgically treated for MEC of the major salivary gland between 1975 and 2019 were retrospectively enrolled from the surveillance, epidemiology, and end results database. The total population was randomly divided into training and test groups (1:1). Primary outcome variables were DSS and OS. Prognostic models were constructed based on the independent prognostic factors determined using univariate and multivariate Cox analyses in the training group and were validated in the test group using C-index. A total of 3317 patients (1624 men and 1693 women) with a mean age of 55 ± 20 years were included. The number of positive lymph nodes was an independent prognostic factor for both DSS and OS, but the effect began when at least two positive lymph nodes for DSS and three positive lymph nodes for OS were found. Predictive models for DSS and OS in the training group had C-indexes of 0.873 (95% confidence interval [CI] 0.853–0.893) and 0.835 (95% CI 0.817–0.853), respectively. The validation of the test group showed C-indexes of 0.877 (95% CI 0.851–0.902) for DSS and 0.820 (95% CI 0.798–0.842) for OS. The number of positive lymph nodes was statistically associated with survival in cN0 major salivary gland MEC. The current prognostic model could provide individualized follow-up strategies for patients with high reliability.
Scaling theory of fractal complex networks
Authors: Fronczak Agata , Fronczak Piotr , Samsel Mateusz J. , Makulski Kordian , Łepek Michał , Mrowinski Maciej J. 
Published: April 2024

AbstractWe show that fractality in complex networks arises from the geometric self-similarity of their built-in hierarchical community-like structure, which is mathematically described by the scale-invariant equation for the masses of the boxes with which we cover the network when determining its box dimension. This approach—grounded in both scaling theory of phase transitions and renormalization group theory—leads to the consistent scaling theory of fractal complex networks, which complements the collection of scaling exponents with several new ones and reveals various relationships between them. We propose the introduction of two classes of exponents: microscopic and macroscopic, characterizing the local structure of fractal complex networks and their global properties, respectively. Interestingly, exponents from both classes are related to each other and only a few of them (three out of seven) are independent, thus bridging the local self-similarity and global scale-invariance in fractal networks. We successfully verify our findings in real networks situated in various fields (information—the World Wide Web, biological—the human brain, and social—scientific collaboration networks) and in several fractal network models.
Post-stroke arrhythmia could be a potential predictor for post-stroke depression
Authors: Xu Tao , Dong Fangying , Zhang Muhua , Wang Kewu , Xu Tian , Xia Shudong , Feng Chao 
Published: April 2024

AbstractPost-stroke depression (PSD) is regarded as the consequence of multiple contributors involving the process of cognition, mood and autonomic system, with the specific mechanism unclear yet. As a common type of stroke-heart syndromes, post-stroke arrhythmia shared some common pathogenesis with PSD. We presumed that post-stroke arrhythmia might be an early distinguishable marker for the presence of PSD and aimed to verity their association in this study. Patients with first-ever ischemic stroke were enrolled. The presence of post-stroke ectopic arrhythmia and the symptoms of arrhythmia were recorded with anti-arrhythmia drugs prescribed when necessary. Patients were followed up 3 months later to identify their presence and severity of PSD using Hamilton Depression Scale (HAMD) and also presence and severity of arrhythmia. Characteristics including the prevalence of various types of arrhythmias were compared between PSD and non-PSD groups. The HAMD scores were compared between patients with and without arrhythmia in PSD group. Logistic regression was used to identify the independent predictor of PSD. Patients with PSD had higher prevalence of post-stroke arrhythmia especially newly-detected arrhythmia, symptomatic arrhythmia and poor-controlled arrhythmia. In PSD group, patients of post-stroke arrhythmia had higher scores of HAMD than those without arrhythmia. Presence of newly-detected, symptomatic and poor-controlled arrhythmias were independent predictor of PSD. post-stroke arrhythmia especially newly-detected arrhythmia and symptomatic arrhythmia could be an early predictor of PSD. Successful control of arrhythmia was associated with reduced prevalence and severity of PSD.
One-year visual and anatomical outcomes of intravitreal faricimab injection for neovascular age-related macular degeneration after prior brolucizumab treatment
Authors: Takahashi Hironori , Inoda Satoru , Takahashi Hidenori , Takahashi Ryota , Hashimoto Yuto , Yoshida Hana , Kawashima Hidetoshi , Yanagi Yasuo 
Published: April 2024

AbstractThis single-center retrospective cohort study analyzed the 1-year real-world treatment outcomes of 63 consecutive eyes (of 60 patients) with neovascular age-related macular degeneration (nAMD) that were switched from intravitreal brolucizumab (IVBr) to intravitreal faricimab (IVF) and managed on a treat-and-extend regimen with discontinuation criteria. After the switch, patients opted to continue IVF, to switch back to IVBr, or receive photodynamic therapy (PDT). Thirty-eight patients continued IVF, 16 patients were switched back to IVBr, 2 patients received PDT, and 4 patients paused treatment. Best-corrected visual acuity (BCVA), central subfield thickness (CST), subfoveal choroidal thickness (sf-CT), and injection intervals were compared immediately before and 1 year after the initial IVF. Whereas there was no change in BCVA and CST; 0 [− 0.0969 to 0.125, P = 0.58], − 1.5 [− 27.8 to 13.5, P = 0.11] µm, respectively, sf-CT decreased significantly; − 19.5 [− 45.5 to 7.75, P = 0.015] µm. The patients switched back showed no significant change in sf-CT. The injection interval extended significantly in the IVF continuation and the switch-back group (2.0 and 3.0 weeks, respectively; [P = 0.0007 and 0.0078]) in eyes with a pre-switching interval of less than 12 weeks. Faricimab shows promise as a safe and effective alternative to brolucizumab for treating nAMD.
Enhanced potent immunosuppression of intracellular adipose tissue-derived stem cell extract by priming with three-dimensional spheroid formation
Authors: Kamprom Witchayapon , Tangporncharoen Rattanawan , Vongthaiwan Nuttapoom , Tragoonlugkana Patcharapa , Phetfong Jitrada , Pruksapong Chatchai , Supokawej Aungkura 
Published: April 2024

AbstractImmunomodulatory properties of mesenchymal stem cells are widely studied, supporting the use of MSCs as cell-based therapy in immunological diseases. This study aims to generate cell-free MSC extract and improves their immunomodulatory potential. Intracellular extracts were prepared from adipose-derived stem cells (ADSC) spheroid via a freeze-thawing method. The immunomodulatory capacities of ADSC spheroid extracts were investigated in vitro, including lymphocyte proliferation, T regulatory cell expansion, and macrophage assays. A comparative study was conducted with ADSC monolayer extract. The key immunomodulatory mediators presented in ADSC extract were identified. The results revealed that ADSC spheroid extract could suppress lymphocyte activation while enhancing T regulatory cell expansion. Immunomodulatory molecules such as COX-2, TSG-6, and TGF-β1 were upregulated in ADSC priming via spheroid culture. Selective inhibition of COX-2 abrogates the effect of ADSC extract on inducing T regulatory cell expansion. Thus, ADSC spheroid extract gains high efficacy in regulating the immune responses which are associated in part by COX-2 generation. Furthermore, ADSC spheroid extract possessed a potent anti-inflammation by manipulation of TNF-α production from LPS-activated macrophage. Our current study has highlighted the opportunity of using cell-free extracts from adipose tissue-derived mesenchymal stem cells spheroid as novel immunomodulators for the treatment of immunological-associated diseases.
Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia
Authors: Zemariam Alemu Birara , Yimer Ali , Abebe Gebremeskel Kibret , Wondie Wubet Tazeb , Abate Biruk Beletew , Alamaw Addis Wondmagegn , Yilak Gizachew , Melaku Tesfaye Masreshaw , Ngusie Habtamu Setegn 
Published: April 2024

AbstractIn developing countries, one-quarter of young women have suffered from anemia. However, the available studies in Ethiopia have been usually used the traditional stastical methods. Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of anemia among youth girls in Ethiopia. A total of 5642 weighted samples of young girls from the 2016 Ethiopian Demographic and Health Survey dataset were utilized. The data underwent preprocessing, with 80% of the observations used for training the model and 20% for testing. Eight machine learning algorithms were employed to build and compare models. The model performance was assessed using evaluation metrics in Python software. Various data balancing techniques were applied, and the Boruta algorithm was used to select the most relevant features. Besides, association rule mining was conducted using the Apriori algorithm in R software. The random forest classifier with an AUC value of 82% outperformed in predicting anemia among all the tested classifiers. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having more than 5 family size were the top attributes to predict anemia. Association rule mining was identified the top seven best rules that most frequently associated with anemia. The random forest classifier is the best for predicting anemia. Therefore, making it potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt anemia among youth girls.
Effectiveness of carbon dioxide emission target is linked to country ambition and education level
Authors: Zheng Yuheng , Shan Rui , Xu Wangtu , Qiu Yueming 
Published: April 2024

AbstractIn response to the Paris Agreement, a growing number of countries, 123 in total, have committed to carbon reduction targets. While existing research has assessed various policies’ effectiveness in achieving these targets, the potential of the act of goal-setting itself as a policy instrument has been underexplored. Here we leveraged a comprehensive panel dataset spanning 163 countries from 2011 to 2022 and employed a rigorous difference-in-difference model. Empirical findings reveal that both proposing carbon reduction targets and setting higher targets effectively reduce emissions intensity. The mechanism driving the impact of carbon reduction targets on CO2 emissions centers on the level of education, rather than renewable energy capacity, requiring further investigation to the mechanism. Subsequent analysis establishes connections between target levels and renewable energy capacity. Our results advocate for dynamic updates of carbon reduction targets aligned with renewable energy capacity when formulating climate objectives.
Palliative procedures for malignant gastric outlet obstruction: a network meta-analysis
Authors: Tran Khoi Van , Vo Nguyen-Phong , Nguyen Hung Song , Vo Nhi Thi , Thai Thi Bao Trang , Pham Vu Anh , Loh El-Wui , Tam Ka-Wai 
Published: April 2024

Abstract
Background The optimal treatment for malignant gastric outlet obstruction (GOO) remains uncertain. This systematic review aimed to comprehensively investigate the efficacy and safety of four palliative treatments for malignant GOO: gastrojejunostomy, endoscopic ultrasound-guided gastroenterostomy (EUS-GE), stomach-partitioning gastrojejunostomy (PGJ), and endoscopic stenting.
Methods We searched PubMed, Embase, Cochrane Library, Scopus, and Web of Science databases, ClinicalTrials.gov, and the World Health Organization International Clinical Trials Registry Platform for randomized controlled trials (RCTs) and cohort studies comparing the four treatments for malignant GOO. We included studies that reported at least one of the following clinical outcomes: clinical success, 30-day mortality, reintervention rate, or length of hospital stay. Evidence from RCTs and non-RCTs was naïve combined to perform network meta-analysis through the frequentist approach using an inverse variance model. Treatments were ranked by P score.
Results This network meta-analysis included 3617 patients from 4 RCTs, 4 prospective cohort studies, and 32 retrospective cohort studies. PGJ was the optimal approach in terms of clinical success and reintervention (P scores: 0.95 and 0.90, respectively). EUS-GE had the highest probability of being the optimal treatment in terms of 30-day mortality and complications (P scores: 0.82 and 0.99, respectively). Cluster ranking to combine the P scores for 30-day mortality and reintervention indicated the benefits of PGJ and EUS-GE (cophenetic correlation coefficient: 0.94; PGJ and EUS-GE were in the same cluster).
Conclusion PGJ and EUS-GE are recommended for malignant GOO. PGJ could be the alternative choice in centers with limited resources or in patients who are unsuitable for EUS-GE.
Fraturas atípicas de metatarso: Relato de cinco casos clínicos
Authors: Vasconcelos José Wanderley , Souza Naraja Menezes de , Leite Leopoldina Milanez da Silva , Júnior José Alonso Rodrigues Chaves 
Published: April 2024

ResumoFraturas atípicas são bem elucidadas quando ocorrem no fêmur e tem relação com o uso de bifosfonatos. A terapia prolongada com esse medicamento leva a uma supressão excessiva do remodelamento ósseo, o que torna o osso mais quebradiço. Em geral, são fraturas atraumáticas ou causadas por trauma mínimo. Este tipo de fratura é também relatada em outros sítios ósseos, como o metatarso. Alguns relatos e estudos referentes às fraturas atípicas de metatarso já foram publicados, mas outras investigações são necessárias para que essa fraturas sejam mais bem compreendidas e recebam o devido diagnóstico, tratamento e conduta.No presente trabalho, relatam-se cinco casos de pacientes que apresentaram fratura de metatarso durante terapia com bifosfonatos. Todos os pacientes eram do sexo feminino, tinham osteoporose como doença pré-existente, faziam uso de bifosfonatos, apresentaram fraturas atraumáticas ou causadas por trauma mínimo, e o exame de imagem revelou fratura metadiafisária transversa de eixo de quinto metatarso com espessamento do córtex lateral, características de imagem semelhantes aos critérios utilizados pela American Society for Bone and Mineral Research (ASMBR) para definir fraturas atípicas de fêmur.