bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probabilistic Analysis of Agent-Based Opinion Formation Models
Authors: Devia Carlos Andres , Giordano Giulia 
Published: August 2023

Abstract
When agent-based models are developed to capture opinion formation in large-scale populations, the opinion update equations often need to embed several complex psychological traits. The resulting models are more realistic, but also challenging to assess analytically, and hence numerical analysis techniques have an increasing importance in their study. Here, we propose the Qualitative Outcome Likelihood (QOL) analysis, a novel probabilistic analysis technique aimed to unravel behavioural patterns and properties of agent-based opinion formation models, and to characterise possible outcomes when only limited information is available. The QOL analysis reveals which qualitative categories of opinion distributions a model can produce, brings to light their relation to model features such as initial conditions, agent parameters and underlying digraph, and allows us to compare the behaviour of different opinion formation models. We exemplify the proposed technique by applying it to four opinion formation models: the classical Friedkin-Johnsen model and Bounded Confidence model, as well as the recently proposed Backfire Effect and Biased Assimilation model and Classification-based model.
A randomised clinical trial study assessing the efficacy of 5% losartan potassium loaded in ethosomal gel based on POSAS 3.0 score, degree of erythema and pigmentation, surface area, thickness and pliability of human keloids: a study protocol
Authors: Anggraini Yuni Eka , Trisnowati Niken , Martien Ronny , Danarti Retno 
Published: August 2023

Abstract
Background: Keloid is a skin disorder that results from excessive fibrous tissue growth in the area of the initial trauma. Treating keloids can be challenging since the success of various treatments varies from one study to another. Triamcinolone acetonide injection, a standard treatment, can cause undesirable side effects. Meanwhile, the effectiveness of existing topical therapies for keloids is not always reliable. The pro-inflammatory, pro-proliferative, and pro-fibrotic effects of angiotensin II in human skin contribute to keloid formation. Losartan potassium, an angiotensin II blocker, has the potential to act as an anti-keloid agent. Due to the thicker skin structure of a keloid and ease of application, ethosome gel is chosen as a safe and comfortable carrier for losartan potassium, making it a good choice for treating keloids.
Methods: In this randomised clinical trial, 46 adults with keloids were divided into two treatment groups. One group of 23 participants received 5% losartan potassium loaded in ethosomal gel, while the other group of 23 participants received intralesional injections of 10% triamcinolone acetonide. Over 12 weeks, changes in POSAS 3.0 scores, erythema and pigmentation, surface area, thickness, and pliability of the keloids will be measured at four different times: baseline, four weeks, eight weeks, and twelve weeks. Statistical analysis will be conducted using SPSS software version 24, with a significance level of p<0.05.
Discussion: Losartan potassium is believed to be beneficial for keloid management because it inhibits the angiotensin II receptor, which plays a role in inflammation, proliferation, and fibrosis. This study aims to examine the efficacy of 5% losartan potassium loaded in ethosomal gel for human keloids.
Trial registration: Clinicaltrial.gov identifier NCT05893108. Registered on 7 June 2023.
Deep Learning Based CETSA Feature Prediction cross Multiple Cell Lines with Latent Space Representation
Authors: Zhao Shenghao , Yang Xulei , Zeng Zeng , Qian Peisheng , Zhao Ziyuan , Dai Lingyun , Prabhu Nayana , Nordlund Par , Tam Wai Leong 
Published: August 2023

Abstract
Cellular Thermal Shift Assay (CETSA), a biophysical principle-based technique measuring the protein thermal stability inside cell, has contributed significantly to the understanding of drug mechanisms of action (MoAs) and the dissection of protein interaction states as well as cell biology processes, etc. One of the barriers for CETSA applications is that CETSA experiments must be conducted on the specific cell lines of interest, which is typically time-consuming and costly in terms of reagents and machine time. In this work, we made efforts to explore the prediction of CETSA features cross different cell lines by proposing a computational framework based on a novel deep neural network called CycleDNN. Given a set of cell lines {C_1, C_2, ..., C_n}, the proposed CycleDNN consists of encoders {E_1, E_2, ..., E_n} and decoders {D_1, D_2, ..., D_n}. E_i encodes the CETSA features from cell line C_i into Z in the latent space Z, and D_i decodes Z into the CETSA features in cell line C_i (i = 1, 2, ..., n). Any encoder and decoder can be combined into an auto-encoder to perform CETSA feature prediction from one cell line to the other. In this way, the auto-encoders form a cyclic feature prediction across multiple cell lines. The prediction loss, cycle-consistency loss, and latent space regularization loss are adopted to guide the model's training. The experimental results on a public CETSA dataset demonstrate the effectiveness of our proposed approach. Moreover, the validity of the predicted CETSA data from our model has also been verified by using a decision tree for Protein-Protein Interaction prediction.
RotatedStomataNet: a deep rotated object detection network for directional stomata phenotype analysis
Authors: Yang Xiaohui , Wang Jiahui , Li Fan , Zhou Chenglong , Luo Xingzhe , Wu Minghui , Zheng Chen , Yang Lijun , Li Zhi , Li Yong , Guo Siyi , Song Chunpeng 
Published: August 2023

Abstract

Stomata act as a pathway for air and water vapor during respiration, transpiration and other gas metabolism, so the stomata phenotype is important for plant growth and development. Intelligent detection of high throughput stoma is a key issue. However, current existing methods usually suffer from detection error or cumbersome operations when facing densely and unevenly arranged stomata. The proposed RotatedStomataNet innovatively regards stomata detection as rotated object detection, enabling an end-to-end, real-time and intelligent phenotype analysis of stomata and apertures. The system is constructed based on the Arabidopsis and maize stomatal data sets acquired in a destructive way, and the maize stomatal data set acquired in a nondestructive way, enabling one-stop automatic collection of phenotypic such as the location, density, length and width of stomata and apertures without step-by-step operations. The accuracy of this system to acquire stomata and apertures has been well demonstrated in monocotyledon and dicotyledon, such as Arabidopsis, soybean, wheat, and maize. And the experimental results showed that the prediction results of the method are consistent with those of manual labeled. The test sets, system code, and its usage are also given (https://github.com/AITAhenu/RotatedStomataNet).
Surname Order and Revaccination Intentions: The Effect of Mixed- Gender Lists on Gender Differences during the COVID-19 Pandemic
Authors: Yamamura Eiji , Tsutsui Yoshiro , Ohtake Fumio 
Published: August 2023

Abstract
Background
In Japanese primary schools, students are listed according to their surname's alphabet-ical order. Teachers unconsciously rely on the alphabetical list to call on students during class and at non-academic events. Students with surnames appearing early in these lists tend to be called upon sooner in various school situations, enabling them to learn from new experiences earlier. Early listed surnames enhance cognitive and non-cognitive skill development. Through this channel, early surnames are thought to have a long-term effect on adulthood behaviours such as being vaccinated. The adoption of mixed-gender lists since the 1980s has amplified this effect, particularly for females.
Methods
We conducted internet surveys nearly every month between March 2020 and September 2022 with the same subjects. During this period, COVID-19 vaccines were developed and became available. Many studies have explored how unvaccinated people are motivated to get inoculated against COVID-19. As of March 2023 in Japan, most people have received their first and second doses of COVID-19 vaccine. It has now become crucial for vaccinated people to get revaccinated as the vaccines lose effectiveness over time. Our study focuses on revaccinations, using a sub-sample of individuals who have received their first and second doses of COVID-19 vaccines. In the survey, we asked subjects in which alphabetical column their childhood and adulthood surnames were located. This enables us to identify how surname order plays a critical role in forming non-cognitive skills.
Japanese people could receive their third dose starting from December 2021. The 19th wave of our survey was conducted the following month, in January 2022. Therefore, to examine how surname’s alphabetical order influenced the intention to revaccinate, we used a sub-sample covering the period from December 2021 to September 2022. Ordinary Least Square regression method was used.
Results
Females with early surnames had approximately 4% stronger intentions than males with early surnames. Female’s early name order is more strongly correlated with revaccination intention than males. The surname effect for females was about three times larger if mixed gender list was used than if mixed gender list was not used. The effect was only observed for childhood surname but not for adulthood one.
Discussion
This study is the first to identify how surname order plays a critical role in forming non-cognitive skills in school life to promote revaccination in their adulthood. We show the long-term effect of adopting a mixed-gender list in schools when unexpected events such as the COVID-19 pandemic occur.
Robot-Assisted Partial Knee Replacement versus Standard Total Knee Replacement (RoboKnees): A Protocol for a Pilot Randomized Controlled Trial
Authors: Madden Kim , Flood Breanne Louise , Malek Monica , Milantoni Vincent , Wilson Janie L Astephen , Tarride Jean-Eric , Khanna Vickas , Adili Anthony 
Published: August 2023

Abstract
Background
Total knee arthroplasty is a common surgery for end-stage knee osteoarthritis. Partial knee arthroplasty is also a treatment option for patients with arthritis present in only one or two knee compartments. Partial knee arthroplasty can preserve the natural knee biomechanics, but these replacements may not last as long as total knee replacements. Robotic assisted orthopaedic techniques can help facilitate partial knee replacements, increasing accuracy and precision. This trial will investigate the feasibility and assess clinical outcomes for a larger definitive trial.
Methods
This is a protocol for an ongoing parallel randomized pilot trial of 64 patients with uni- or bicompartmental knee arthritis. Patients are randomized to either receive robot assisted partial knee arthroplasty or manual total knee arthroplasty. The primary outcome for this pilot is investigating the feasibility for a larger trial. Secondary (clinical) outcomes include joint awareness, return to activities, knee function, patient global impression of change, persistent post-surgical pain, re-operations, resource utilization and cost-effectiveness, health-related quality of life, radiographic alignment, knee kinematics during walking gait, and complications up to 24-months post-surgery.
Discussion
The RoboKnees pilot study is the first step in determining the outcome of robot-assisted partial knee replacements. Conclusions from this study will be used to design the future large-scale trial. This study will inform surgeons about the potential benefits of robot-assisted partial knee replacements.
Trial Registration:
This study has been prospectively registered on clinicaltrials.gov (identifier: NCT04378049) on 4 May 2020, before the first patient was randomized.
Comprehensive assessment of fetal ventriculomegaly in a tertiary referral center
Authors: Guo Danhua , He Shuqiong , Lin Na , Dai Yifang , Li Ying , Xu Liangpu , Wu Xiaoqing 
Published: August 2023

Abstract
Fetal ventriculomegaly (VM) is a condition in which the cerebral ventricular diameter measures ≥10 mm during the second and third trimesters of pregnancy as detected by prenatal ultrasound scan. The prognosis of fetal VM vary widely. We conducted the retrospective study aims to systematically evaluate the genetic disorders, congenital cytomegalovirus (CMV) infection, and pregnancy outcomes of ventriculomegaly (VM) in fetuses. Our results demonstrated that non-isolated ventriculomegaly increased linearly with the atrial width. 8.68% VM fetus had chromosomal aberrations through conventional karyotyping, chromosomal microarray analysis revealed additional 4.1% of copy number variants with clinical significance. 2.5% VM fetus were confirmed as CMV intrauterine infection. Additional abnormalities, especially CNS abnormalities often led to TOP and unfavorable outcomes. Severe VM, intrauterine progression or stability are risk factors for unfavorable outcomes. At least 61.9% of the adverse outcomes have the sustained intracranial imaging anomalies. Thus, chromosomal disorders and congenital CMV infection are common etiologies of VM. Consistent prenatal and postnatal imaging scans should be provided for fetuses with VM to ensure better pregnancy management.
Cost-Effective Efficient Materials for Dye Degradation using Green and Facile Chemistry Routes
Authors: Yadawa Yogendra , Jha Divanshu , Joshi Nitesh 
Published: August 2023

Abstract
In the present studies, the synthesis of Mg and S-doped ZnO nanoparticles was carried out using a non-aqueous sol-gel method. X-ray diffraction (XRD) techniques were used to examine the crystallisation of ZnO, Mg-ZnO, and S-ZnO samples. The Mg-ZnO and S-ZnO samples exhibit significant c-axis compression and smaller crystallite sizes as compared to undoped ZnO. To investigate the electronic, optical, and functional group characteristics of the nanoparticles, various spectroscopic techniques such as FTIR, X-ray photoelectron spectroscopy (XPS), UV/vis spectroscopy, and photoluminescence (PL) spectroscopy were employed. The optical band gap of Mg-ZnO and S-ZnO NPs were found to be 2.93 eV and 2.32 eV, respectively, which are lower than that of ZnO NPs (3.05 eV). The S-doped ZnO resulted in the homogenous distribution of sulfur ions in the ZnO lattice crystal. XPS analysis revealed that the doped S element was mostly S4+ and S6+. Furthermore, we investigated the photocatalytic activity of ZnO, Mg-ZnO, and S-ZnO samples with and without PVP mixed with 5 ppm Rhodamine 6G dye at room temperature. Results indicated that pure ZnO nanoparticles have the highest photocatalytic degradation rate with Rh 6G in both situations. The enhanced visible white light photocatalytic activities of pure ZnO NPs were attributed to their superior surface properties (18.30 m2/g) and effective electron-hole separation.
Performance of castor oil polyurethane resin in composite with the piassava fibers residue from the Amazon.
Authors: Aparício Rosinaldo Rabelo , Santos Gabrielle Machado dos , Giacon Virgínia Mansanares , silva Cristina Gomes da 
Published: August 2023

Abstract
The intensive global environmental changes have motivated researchers to follow new routes to reuse or recycle waste. Castor oil for producing polyurethanes is one of the most viable routes for resin production. This study combined castor oil resin-based with the piassava fibers waste generated by the industry. Higher content of mercerized piassaba fibers (10 mm, 85 wt.%) reinforced polyurethane castor oil-based resin, resulting in composite boards. Characterizations included FTIR, TGA, DSC, FTIR, DMA, and SEM analyses. Piassaba fibers, after alkaline treatment, present excellent performance reported by physical characterization for all composites, highlighting the CP3 sample with higher density and lower swelling and water absorption percentage than other composites. FTIR results indicated NCO traces after the resin cured in the PU3, possibly contributing to the interaction with the fibers. DMA results reported relevant information about more flexibility to CP1 and CP3 than CP2. This study suggests that the proper combination with natural products must lead to composites with potential applications as engineering materials.
HEBE Project: Healthy aging versus inflamm-aging: the role of physical Exercise in modulating the Biomarkers of age-associated and Environmentally determined chronic diseases, Study Protocol.
Authors: Bianchi Francesca , Biganzoli Elia Mario , Bollati Valentina , Clerici Mario , Lucini Daniela , Mandò Chiara , Rota Federica , Consortium HEBE 
Published: August 2023

Abstract

Background: Inflamm-aging refers to the chronic low-grade inflammation that occurs with aging and cellular senescence, and it is linked to various diseases. Understanding the markers involved in inflammation and aging, as well as their interaction with environmental factors and bodily control mechanisms, can provide crucial tools for assessing the resilience (i.e. the ability to adapt and improve) of the human body, particularly in the presence of chronic degenerative conditions or vulnerable life stages, that place the individual and the community to which he belongs in a state of potential fragility.
HEBE focuses on physical exercise, along with nutritional and lifestyle recommendations, to reduce systemic inflammation and promote healthy aging.
Methods: HEBE encompasses multiple research lines (LR). In the ongoing LR1 (“proof of concept”), healthy lifestyle recommendations were provided to University of Milan employees, and changes in quality of life and well-being were assessed using a specialized questionnaire. The first 100 eligible subjects, who expressed their willingness to participate, underwent a personalized physical exercise protocol based on clinical and objective assessments. Biomedical samples were collected at baseline (T0) and follow-up (T1) to establish a shared biobank and identify non-invasive biomarkers that monitor the impact of physical exercise on individual characteristics such as cardiovascular and metabolic health. Subsequently (LR2-LR10), the proof of concept findings will be expanded to include various conditions of vulnerability such as obesity, cancer, endocrine disorders, cardiovascular diseases, infertility, functional syndromes, respiratory disorders, neurodegenerative diseases, and autoimmune conditions.
Discussion: The research lines will leverage the expertise of the 94 participating investigators to form a collaborative network that maximizes the potential for investigation and knowledge exchange. This approach fosters a culture of health promotion and disease prevention.
ClinicalTrials.gov Identifier: NCT05815732
Critical distance of the sacroiliac joint for open reduction using screw fixation for traumatic sacroiliac joint diastasis: a retrospective study
Authors: Chin Ruei-Shyuan , Chen I-Jung , Lai Chih-Yang , Chen Jui-Ping , YU YI HSUN 
Published: August 2023

Abstract

Background:
Osteosynthesis for sacroiliac joint (SIJ) diastasis using an iliosacral screw (ISS) and a trans-iliac-trans-sacral screw (TITSS) can be performed either by a closed or open method. However, a clear indication for open reduction remains controversial.
Methods:
Data on patients with unilateral traumatic SIJ diastasis who underwent ISS and TITSS fixation were retrospectively collected and separated into groups according to the reduction method: closed reduction group (C group) and open reduction group (O group). Demographic data and perioperative image assessments were compared between the groups. The critical distance of the SIJ was identified to elucidate the indication for open reduction of the diastatic SIJ.
Results:
Fifty-six patients met the inclusion criteria over a 3-year period. There was no significant difference in the reduction in quality of the pelvic ring injuries between the groups, according to Matta’s and Lefaivre’s criteria. The improvement in the SIJ distance was significantly greater in the O group than in the C group in the axial plane on multiplanar computed tomography (p = 0.021). This model predicted that a difference >3.71mm between the injured and healthy SIJ was recommended to undergo open reduction under an area under the curve of 0.791 (95% confidence interval 0.627–0.955, p = 0.004).
Conclusions:
Open reduction for SIJ diastasis might achieve better reduction quality than does closed reduction in the axial plane in selected cases. When the difference between the injured and healthy SIJ was wider than 3.71 mm, open reduction for the SIJ is recommended for satisfactory radiological outcomes.
Causal associations between gut microbiota and three prostate diseases: A bidirectional two-sample Mendelian randomization study
Authors: Liu Xiaoyang , Yang Luchen , Peng Zhufeng , Song Pan , Liu Zhenghuan , Zhou Jing , Ma Kai , Yu Yunfei , Dong Qiang 
Published: August 2023

Abstract
Background: According to observational research and clinical trials, the gut microbiota is associated with prostate disorders. However, the causal association between gut microbiota and prostate disorders is yet uncertain.
Methods: We first identified groups of gut microbiota based on knowledge on the phylum, class, order, family, and genus levels, and acquired prostate diseases statistics from the FINNGEN study and PRACTICAL consortium. Next, two-sample mendelian randomization was used to investigate the potential associations between three prevalent prostate diseases and gut microbiota. In addition, we performed a reverse MR analysis and Benjamini-Hochberg (BH) test for further research.
Results: We investigated the connection between 196 gut microbes and three prevalent prostate diseases and discovered 42 nominally significant relationships and 2 strong causative connections. The BH corrected analysis indicated that the risk of prostatitis is positively correlated with the presence of the Order Gastranaerophilales, while the risk of prostate cancer is inversely correlated with the presence of the Class Alphaproteobacteria.
Conclusions: Our MR analysis revealed that the gut microbiota was causally associated with prostate diseases and the results may serve as diagnostic biomarkers and therapeutic targets for prostate diseases.