bluuebunny/crossref_metadata_2025_split huggingface dataset:
Black Phosphorus Quantum Dots Effectively and Safely Treat Glaucoma as a Promising Anti-Ferroptosis Nano-drug
Authors: Zhang Shaochong , Yao Fei , Xu Chang , Liang Jia , Wang Shijing , Fan Zixin , Dou Ningxin , Mao Xingxing , Pei Yue , Xie Zhongjian , Mi Shengli , Zhang Han 
Published: September 2023

Abstract
Globally, irreversible blindness is mainly caused by glaucoma, characterized by the selective loss of retinal ganglion cells (RGCs). Reducing pathologically high intraocular pressure (ph-IOP) is clinically effective but fails to halt disease progression. Oxidative stress-induced RGC ferroptosis contributes to poor outcomes after ph-IOP reduction. Thus, drugs to alleviate oxidative stress and inhibit RGC ferroptosis have therapeutic potential for glaucoma treatment. Herein, we first attempted to apply black phosphorus quantum dots (BPQDs) ophthalmologically, primarily exploiting its reactive oxygen species (ROS) scavenging abilities and non-toxic degradation. Briefly, BPQDs were injected into the vitreous chamber of ph-IOP-injured glaucomatous rats. Injected BPQDs maintained therapeutic effectiveness for almost one week without significant cellular toxicity. Meanwhile, BPQDs demonstrated potent ROS scavenging and cellular redox repairing abilities, ultimately inhibiting RGC ferroptosis and improving both morphological and functional outcomes in glaucomatous rats. Thus, BPQDs represent the first and potential anti-ferroptosis nano-drug to treat glaucoma and other ferroptosis-related diseases.
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better
Authors: Luo Jie , Miras Karine , Tomczak Jakub , Eiben Agoston E. 
Published: September 2023

Abstract
Evolutionary robot systems offer two principal advantages: an advanced way of developing robots through evolutionary optimization and a special research platform to conduct what-if experiments regarding questions about evolution. Our study sits at the intersection of these. We investigate the question ''What if the 18th-century biologist Lamarck was not completely wrong and individual traits learned during a lifetime could be passed on to offspring through inheritance?'' We research this issue through simulations with an evolutionary robot framework where morphologies (bodies) and controllers (brains) of robots are evolvable and robots also can improve their controllers through learning during their lifetime. Within this framework, we compare a Lamarckian system, where learned bits of the brain are inheritable, with a Darwinian system, where they are not. Analyzing simulations based on these systems, we obtain new insights about Lamarckian evolution dynamics and the interaction between evolution and learning. Specifically, we show that Lamarckism amplifies the emergence of 'morphological intelligence', the ability of a given robot body to acquire a good brain by learning, and identify the source of this success: 'newborn' robots have a higher fitness because their inherited brains match their bodies better than those in a Darwinian system.
Defensive secretion of Eurycantha calcarata - chemical composition and method of collection
Authors: Koczur Weronika , Szwedo Jacek , Gołębiowski Marek 
Published: September 2023

Abstract
Chemical defense in insects is becoming an increasingly interesting topic and has the potential for providing unexplored compounds with unknown properties for drug and repellent discovery, so the secretions of different species of insects are being studied and new ways of collecting these secretions are being sought. Silica gel and activated carbon are absorbents that were used to collect the gaseous defensive secretion of Eurycantha calcarata. Using gas chromatography coupled with mass spectrometry, 52 compounds were identified, including 19 carboxylic acids, 14 esters, 10 alcohols, 5 hydrocarbons and other organic compounds. The most abundant two compounds from each group are: hexadecenoic acid, octadecanoic acids, 9-hexadecanoic acid octadecyl ester, hexadecanoic acid tetradecyl ester, octacosanol, triacontanol, tridecane and tetradecane. The silica gel turned out to be a better absorbent because it captured more compounds than the activated carbon. The mass of the absorbent did not affect the quality of the analyses. This paper is the first describing the volatile secretions emitted by Phasmid representatives, not originating from the prothoracic glands. The presented results of the analyses and the known properties of found compounds give grounds for the conclusion that these secretions are of importance for defense in this species of phasmid.
WiFi-Based Non-Contact Human Presence Detection Technology
Authors: Wen Xuechun , Wen Jinghao , Zhang Yang , Zhu Xianxun 
Published: September 2023

Abstract
In the swiftly evolving landscape of Internet of Things (IoT) technology, the demand for adaptive non-contact sensing has seen a considerable surge. Traditional human perception technologies, such as vision-based approaches, often grapple with problems including lack of sensor versatility and sub-optimal accuracy. To address these issues, this paper introduces a novel, non-contact method for human presence perception, relying on WiFi. This innovative approach involves a sequential process, beginning with the pre-processing of collected Channel State Information (CSI), followed by feature extraction, and finally, classification. By establishing signal models that correspond to varying states, this method enables the accurate perception and recognition of human presence. Remarkably, this technique exhibits a high level of precision, with sensing accuracy reaching up to 99%. The potential applications of this approach are extensive, proving to be particularly beneficial in contexts such as smart homes and healthcare, amongst various other everyday scenarios. This underscores the significant role this novel method could play in enhancing the sophistication and effectiveness of human presence detection and recognition systems in the IoT era.
Decline in working memory in stable schizophrenia may be related to attentional impairment: mediating effects of negative symptoms
Authors: Du Nan , Meng Xiaojing , Li Jingwei , Shi Li , Chen Long , Yao Lihui , Zhang Xulai 
Published: September 2023

Abstract
Objective:
Cognitive deficits and negative symptoms are prevalent in individuals with schizophrenia and are crucial indicators of functional recovery. However, the specific relationship between attention, working memory, and negative symptoms in stable schizophrenia remains unclear. This study aims to explore these associations and provide valuable insights for the subsequent treatment of schizophrenia.
Methods:
We conducted a comprehensive assessment of 145 patients with stable schizophrenia using the Chinese Brief Neurocognitive Suite of Tests (C-BCT) and the Positive and Negative Symptom Scale (PANSS).
Results:
Patients with abnormal cognition exhibited significantly higher PANSS total scores, cognitive symptom scores, and negative symptom scores than those with normal cognition（P<0.05）.Pearson's correlation analysis revealed significant positive correlations between digital breadth and sustained operation（r=0.389，P<0.001）,as well as a significant negative correlation between digital breadth and negative symptoms（r=-0.291，P<0.001）.Moreover, continuous manipulation showed a negative correlation with negative symptoms（r=-0.173，P<0.05）.However, no significant correlations were found between the digital breadth conformity score and persistent manipulation or negative symptoms（r=0.148，P>0.05；r=-0.068，P>0.05）. Notably, negative symptoms were identified as a mediator in the relationship between attention and working memory (effect size=0.024).
Conclusion:
Our findings highlight significant associations between working memory, attention, and negative symptoms in individuals with stable-phase schizophrenia. Moreover, attention not only directly impacts working memory but also indirectly influences it through negative symptoms. Addressing cognitive deficits and negative symptoms in the treatment of schizophrenia may lead to improved overall outcomes for affected individuals.
A study on nanoleakage of apical retrograde filling of premixed calcium silicate-based cement using a Lid technique
Authors: Enkhbileg Nyamsuren , Kim Jin Woo , Chang Seok Woo , Park Se-Hee , Cho Kyung Mo , Lee Yoon 
Published: September 2023

Abstract
This study compared the nanoleakage of retrograde filling with calcium silicate-based putty and mineral trioxide aggregate by using traditional and lid techniques. Sixty extracted human teeth were instrumented for retrograde filling and divided into four groups according to the retrograde filling technique. Teeth in each group were filled with different material combinations. Nanoleakage was evaluated twice on days 1, 3, 7, 15, and 30 at the nanoscale level (nL/s). Kruskal–Wallis and Mann–Whitney U-tests were used. The Well-Root, Ceraseal + Well-Root, and Ceraseal + ProRoot groups showed less nanoleakage than the ProRoot group in the first week (P < .05). Although the groups did not show significant differences after 2 weeks, the Ceraseal + ProRoot group showed less leakage than ProRoot group on days 3 and 7 (P < .05). Scanning electron microscopy showed good adaptation. Filling with a calcium silicate-based putty alone and the lid technique was faster with less nanoleakage compared to mineral trioxide aggregate.
Psychosis Secondary to Thyrotoxicosis That Persisted Post-Thyroidectomy: A Case Report
Authors: Kothari Shiva , Townsend William , Chaudhry Zuhaib , Freeman Kevin , Kalin Seth 
Published: September 2023

Abstract
Background: This unique case report is of a patient with psychosis secondary to thyrotoxicosis that persisted and reemerged after definitive treatment of thyroidectomy, which is a unique occurrence in the literature.
Case Presentation: This patient is a male between 30-35 years of age with a history of Graves Disease and no past psychiatric history who was admitted to the hospital due to psychosis secondary to thyrotoxicosis. The thyrotoxicosis was treated with surgical removal, but the psychotic symptoms persisted after surgery and normalization of standard thyroid functional measures. The symptoms were of sufficient significance for inpatient psychiatric hospitalization, a rare occurrence. Ultimately after an extended stay in the psychiatric unit, the patient's symptoms stabilized with a second-generation antipsychotic, and the patient was discharged from the psychiatric unit.
Conclusion: This case is evidence that the link between psychosis and hyperthyroidism is still poorly understood due to the patient’s psychotic symptoms persisting after the definitive treatment of thyroidectomy and the fact that it required anti-psychotic medications for normalization.
Enhancing Fluoride Removal from Wastewater using Aluminum-Yttria-Amended Sludge Biochar
Authors: Li Shushu , Song Mingshan , Tong Lin , Ye Changqing , Yang Yuhuan , Zhou Qingwen 
Published: September 2023

Abstract
This study explored the potential of utilizing aluminum-yttria-amended sludge biochar (Al/Y-CSBC) for efficient fluoride removal from wastewater. The adsorption kinetics of fluoride on modified Al/Y-CSBC followed the pseudo-second-order model, while the adsorption isotherm conformed to the Freundlich equation. Remarkably, the material exhibited excellent fluoride removal performance over a wide pH range, achieving a maximum adsorption capacity of 55.24 mg•g-1. Moreover, Al/Y-CSBC demonstrated exceptional reusability, maintaining 95% removal efficiency even after six regeneration cycles. The fluoride adsorption mechanism involved ion exchange, surface complexation, and electrostatic adsorption interactions. The activation and modification processes significantly increased the specific surface area of Al/Y-CSBC, leading to a high isoelectric point (pHpzc = 9.14). The incorporation of aluminum and yttrium metals exhibited a novel approach, enhancing the adsorption capacity for fluoride ions due to their strong affinity. Furthermore, the dispersing effect of biochar played a crucial role in improving defluoridation efficiency by enhancing accessibility to active sites. These findings substantiate the significant potential of Al/Y-CSBC for enhanced fluoride removal from wastewater.
Association of Antenatal Corticosteroids With Mortality and Morbidities in Very Preterm Infants Born to Women with Hypertensive disorders of pregnancy: A prospective cohort study
Authors: Dong Xiaoyu , Qi Jian-Hong , Zhuo Qing-cui , Ding Yan-jie , Qiao Xin , Wang Yan , Yang De-Juan , Li Dan , Li Li , Jiang Hai-Yan , Liu Qiong-Yu , Li Zhong-Liang , Zhang Xiang , Zhang Bing-jin , Yu Yong-hui 
Published: September 2023

Abstract
Background
Hypertensive disorders of pregnancy (HDP) is the most common cause of indicated preterm delivery, but the impact of prenatal steroid exposure on the outcomes of preterm infants born to HDP mothers, who may be at risk for intrauterine hypoxia-ischemia, remains uncertain.The study objective is to evaluate the mortality and morbilities in HDP for very preterm infants (VPIs) exposed to different course of ANS.
Methods
This is a prospective cohort study comprising infants with < 32 weeks gestation born to women with HDP only from 1 Jan. 2019 to 31 Dec. 2021 within 40 participating neonatal intensive care units (NICUs) in Sino-northern network. ANS courses included completed, partial, repeated, and no ANS. Univariate and multivariable analyses were performed on administration of ACS and short-term outcomes before discharge.
Results
Among 1917 VPIs born to women with HDP only, 987(51.4%) received a complete course of ANS within 48 hours to 7 days before birth, 560(29.2%) received partial ANS within 24 hours before delivery, 100(5.2%) received repeat ANS and 270 (14.1%) did not receive any ANS. Compared to infants who received complete ANS, infants unexposed to ACS was associated with higher odds of death(AOR 1.93; 95%CI 1.11, 3.34), SNI or death (AOR 1.74; 95%CI 1.06,2.84) and NEC or death (AOR 1.67 ; 95%CI 1.05, 2.66), the repeated ANS group exhibits a significant negative correlation with the duration of oxygen therapy days(correlation coefficient − 17.7; 95%CI -37.5, -1.9). However, there were no significant differences observed between the full course and partial course groups in terms of outcomes. We can draw similar conclusions in the non-SGA group, while the differences are not significant in the SGA group. From KM curve, it showed that the repeated group had the highest survival rate, but the statistical analysis did not indicate a significant difference.
Conclusions
Even partial courses of ANS administered within 24 hours before delivery proved to be protective against death and other morbilities. The differences mentioned above are more pronounced in the non-SGA group. Repeat courses demonstrate a trend toward protection, but this still needs to be confirmed by larger samples.
Determinants of non-adherence to Iron Folic Acid Supplementation among Pregnant Women Attending Public Health Facilities in Bishoftu Town, Ethiopia: Case-Control study
Authors: Guye Ararso Hordofa , Abera Lominat , Nigussie Tadesse , Girma Derara , Diriba Berhanu Senbeta , Dejene Hiwot , Legesse Elsabeth , Iticha Daba , Adugna Leta 
Published: September 2023

Abstract

Background: Iron folic acid supplementation is one of the most global public health interventions to alleviate iron deficiency anemia during pregnancy. Both folic acid and iron deficiencies constitute the major micronutrient deficiencies in Ethiopian women.Non-adherence, on the other hand, is a factor in these communities' failure to reduce the problem.
Objective: To identify determinants of non-adherence to iron-folic acid intake among pregnant women who attended antenatal care in Bishoftu town public health facilities, Ethiopia 2022.
Methods: Facility-based unmatched case-control study was conducted from April 1 to May 30, 2022. A total of 105 cases and 211 controls of pregnant women participated in the studyby structured questionnaire and using systematic random sampling methods for control and consecutive sampling was used for the case. Characteristics of the study participants were analyzed using descriptive Statistics. Variable with P-value < 0.25 at the bivariable analysis was entered into the final multivariable logistic regressions to control potential confounders. Model fitness was also checked by Hosmer Lemeshow. An adjusted odds ratio with a 95% confidence interval and a p-value of ≤0.05 was used to declare the statistical significance of variables.
Results: The study response rate was 314 (99.4%). The identified determinants were women aged 15-24 years and 25-34 years [AOR=5, 95% CI (3.04, 12.8), AOR=11.8, 95% CI (18, 20.6)], women who started first ANC >16 weeks (AOR=2.41, 95% CI:1.107, 5.252), women who receive ANC visit two and three were [AOR=5.17, 95% CI (2.5, 13), AOR=2.95 95% CI (1.26, 6.8)], women with inadequate knowledge (AOR=3.5,95% CI:1.7,7.2), women who received 30 and below tablets (AOR=7.8, 95% CI:4, 18) were determinants of non-adherence to iron-folic acid supplementation
Conclusions: Women's age, pregnancy weeks during first ANC, frequency of ANC follow-up, knowledge of women on iron-folic acid supplementation, women who received 30 and below tabletswere significant predictors for non-adherence to folic acid supplementation.Thus, the town health office should work on non-adherence to folic acid supplementation by improving knowledge of women for all age groups of women during ANC visits with concerned stakeholders.
Performance Evaluation of Machine Learning Regression Models for Rainfall Prediction
Authors: Abdullah Maaz , said saif 
Published: September 2023

Abstract
Accurate prediction of rainfall has always been the most demanding task involved in weather forecasting in view of significant variations in weather patterns. With the advent of machine learning algorithms, it is now possible to predict rainfall with higher precision by extracting hidden patterns from the past hydrometeorological data. However, it can be challenging to select a suitable algorithm for the prediction of daily, monthly, or annual rainfall estimates. In this study, three data-driven machine learning (ML) regression models; Random Forest Regression (RFR), Support Vector Regression (SVR), and CatBoost Regression (CBR) were applied to predict daily and monthly rainfall for Aligarh District, Uttar Pradesh, India. Weather datasets from 1980 to 2020 were utilized, that included maximum and minimum temperature, dew point, relative humidity, wind speed, cloud cover as input variables and rainfall as the target. Results revealed that CBR surpassed RFR and SVR in both daily and monthly rainfall predictions. The CBR and RFR models predicted daily rainfall with a moderate correlation, while the SVR model could not predict rainfall on daily timescale data. All three ML models predicted monthly rainfall with strong correlations, with the CBR exhibiting the strongest. The study concluded that the CBR can be effectively utilized for time series hydrological analysis, and the model can serve as a basis for potential comparisons and recommendations.
Evaluation of the marginal adaptation and debonding strength of two types of CAD-CAM implant-supported cement-retained crowns
Authors: Ramzy Nada Ahmed , Azer Amir Shoukry , Khamis Mohamed Moataz 
Published: September 2023

Abstract
Background. Resin-based materials are becoming increasingly popular in implant dentistry even though there is not enough clinical data on the long-term success of such restorations on implant abutments. However, in-vitro data in relation to a clinically well-known lithium disilicate ceramic reference, may help to assess information about the expected performance. The purpose of this in vitro study was to evaluate the marginal adaptation and bond strength of nano-ceramic hybrid composite crowns cemented to stock cement retained abutments in comparison to those of lithium disilicate.
Methods. Twenty abutment analogs were embedded into auto-polymerizing acrylic resin blocks. The blocks were divided into 2 groups according to the restorative crown material. Abutment analogs in both groups were scanned using a laboratory scanner, and the restorations designed, manufactured, and cemented over the corresponding group. All samples were tested for marginal adaptation and bond strength after storage for 24 hours at 37°C in 100% humidity.
Results. Marginal gap and debonding force values were significantly different according to the type of material used (P<.05). Resin nano-ceramic crowns (Grandio blocs: VOCO GmbH) presented lower marginal gap values before (20.80±8.87μm) and after (52.11±22.92μm) cementation than lithium disilicate crowns (IPS e.max CAD: ivoclar vivadent). The debonding force value for resin nano-ceramic crowns (284.30±26.44N) was significantly higher than that for lithium disilicate crowns (253.30±33.26N). Adhesive failure mode was detected in all the specimens in both groups.
Conclusions. The type of material used for implant-supported cement-retained crowns had a statistically significant effect on the marginal adaptation and bond strength. Resin nano-ceramic implant-supported cement-retained crowns had better marginal adaptation and higher bond strength than those manufactured using lithium disilicate.
CLINICAL IMPLICATIONS
Nano-ceramic hybrid composite can be an alternative to lithium disilicate when restoring single unit implant restorations.
The causal association between primary hypertension, triglycerides, insomnia and risk of spinal stenosis: A Mendelian randomization study
Authors: Chen Ding-Qiang , Xu Wen-Bin , Xiao Ke-Yi , Que Zhi-Qiang , Sun Nai-Kun , Cai Di-Xin , Rui Gang , Feng Jin-Yi 
Published: September 2023

Abstract
Background
The risk factors for spinal stenosis are unclear. During this research, we conducted an exploration of the causal relationships between primary hypertension, triglycerides, insomnia, and spinal stenosis in European-origin patients.
Methods
Genome-wide association study data from large sample projects related to our reaserch were downloaded from the IEU OpenGWAS Project. These data relate mainly to the following characteristics: primary hypertension, insomnia, triglycerides, and spinal stenosis. Spinal stenosis was taken as the consequence and the three other features as the exposure. The analyses were conducted with single and multivariate Mendelian randomization (MR). The inverse-variance weighted (IVW) MR served as the primary measure of analysis. To test the stability and reliability of causal estimates, we conducted a variety of sensitivity tests, which included consistent, heterogenicity, and pleiotropy analyses.
Results
According to the IVW results of MR univariate analysis, spinal stenosis risk is higher in patients with primary hypertension (odds ratio (OR): 1.0124; 95% confidence interval (CI): 1.0036–1.0213; P value: 5.49×10 − 3), insomnia (OR: 1.0062; 95% CI: 1.0008–1.0116; P value: 0.023), and triglycerides (OR: 1.0012; 95% CI: 1.0003–1.0021; P value: 0.004). However, multivariable MR analysis indicated triglycerides (OR: 1.0010; 95% CI: 1.0001–1.0019; P value: 0.018) had an independent causal relationship with spinal stenosis risks.
Conclusion
This study indicated the effect of primary hypertension, triglycerides, and insomnia on spinal stenosis risks.