bluuebunny/crossref_metadata_2025_split huggingface dataset:
No effect of subthalamic deep brain stimulation on metacognition in Parkinson’s disease
Authors: Trenado Carlos , Boschheidgen Matthias , N’Diaye Karim , Schnitzler Alfons , Mallet Luc , Wojtecki Lars 
Published: January 2023

AbstractDeep brain stimulation of the subthalamic nucleus (STN-DBS) is a powerful treatment in Parkinson’s disease (PD), which provides a positive effect on motor symptoms although the way it operates on high cognitive processes such as metacognition remains unclear. To address this issue, we recorded electroencephalogram (EEG) of PD patients treated with STN-DBS that performed a reversal learning (RL) paradigm endowed with metacognitive self-assessment. We considered two stimulation conditions, namely DBS-ON (stimulation on) and DBS-OFF (stimulation off), and focused our EEG-analysis on the frontal brain region due to its involvement on high cognitive processes. We found a trend towards a significant difference in RL ability between stimulation conditions. STN-DBS showed no effect on metacognition, although a significant association between accuracy and decision confidence level held for DBS OFF, but not in the case of DBS ON. In summary, our study revealed no significant effect of STN-DBS on RL or metacognition.
Long-term label-free assessments of individual bacteria using three-dimensional quantitative phase imaging and hydrogel-based immobilization
Authors: Shin Jeongwon , Kim Geon , Park Jinho , Lee Moosung , Park YongKeun 
Published: January 2023

AbstractThree-dimensional (3D) quantitative phase imaging (QPI) enables long-term label-free tomographic imaging and quantitative analysis of live individual bacteria. However, the Brownian motion or motility of bacteria in a liquid medium produces motion artifacts during 3D measurements and hinders precise cell imaging and analysis. Meanwhile, existing cell immobilization methods produce noisy backgrounds and even alter cellular physiology. Here, we introduce a protocol that utilizes hydrogels for high-quality 3D QPI of live bacteria maintaining bacterial physiology. We demonstrate long-term high-resolution quantitative imaging and analysis of individual bacteria, including measuring the biophysical parameters of bacteria and responses to antibiotic treatments.
Anthropogenic influence on extremes and risk hotspots
Authors: Estrada Francisco , Perron Pierre , Yamamoto Yohei 
Published: January 2023

AbstractStudy of the frequency and magnitude of climate extremes as the world warms is of utmost importance, especially separating the influence of natural and anthropogenic forcing factors. Record-breaking temperature and precipitation events have been studied using event-attribution techniques. Here, we provide spatial and temporal observation-based analyses of the role of natural and anthropogenic factors, using state-of-the-art time series methods. We show that the risk from extreme temperature and rainfall events has severely increased for most regions worldwide. In some areas the probabilities of occurrence of extreme temperatures and precipitation have increased at least fivefold and twofold, respectively. Anthropogenic forcing has been the main driver of such increases and its effects amplify those of natural forcing. We also identify risk hotspots defined as regions for which increased risk of extreme events and high exposure in terms of either high Gross Domestic Product (GDP) or large population are both present. For the year 2018, increased anthropogenic forcings are mostly responsible for increased risk to extreme temperature/precipitation affecting 94%/72% of global population and 97%/76% of global GDP relative to the baseline period 1961–1990.
An efficient sharding consensus algorithm for consortium chains
Authors: Wu Xiaoxiong , Jiang Wangxi , Song Mingyang , Jia Zhenhong , Qin Jiwei 
Published: January 2023

AbstractThe consensus algorithm is very critical in any blockchain system, because it directly affects the performance and security of the blockchain system. At present, the classic Practical Byzantine Fault Tolerance Algorithm (PBFT), which is mainly used in the consortium chain, will lead to system communication congestion and reduced throughput when the number of nodes increases, so the PBFT algorithm is not suitable for large-scale consortium chains. In response to the above problems, this paper proposes a new clustering-based sharding consensus algorithm (KBFT), which aims to ensure that the consortium chain takes into account decentralization, security and scalability. The KBFT algorithm first uses the K-prototype clustering algorithm to shard the nodes in the network according to mixed attributes, and second, disjoint transactions are used to reach consensus in parallel in different shards. Concurrently, the KBFT algorithm introduces a supervision mechanism and a node credit mechanism, which is used to supervise and score the behavior of the nodes and select the proxy nodes, which improves security. We discuss the choice of shard size with the help of the binomial probability distribution and analyze the probability that the system can successfully form a global block under different node failure probabilities. Finally, the proposed algorithm is evaluated through theoretical analysis and simulation experiments. Results show that the proposed algorithm achieves a marked improvement in scalability and throughput along with a marked reduction in communication complexity compared with the classic baseline algorithm PBFT in this field of study, which improves the operating efficiency of the system and simultaneously guarantees the security and robustness of the system.
The time-frequency analysis of the acoustic signal produced in underwater discharges based on Variational Mode Decomposition and Hilbert–Huang Transform
Authors: Han Zhen , Zhang Xiaobing , Yan Bing , Qiao Liang , Wang Zhigang 
Published: January 2023

AbstractThe experiments of underwater discharges in an anechoic pool were carried out and analysis of the time-frequency characteristics of the acoustic signals was conducted based on Variational Mode Decomposition and Hilbert–Huang Transform (VMD-HHT). We propose a relative center frequency difference method to determine the decomposition numbers K which has to be given before the application of VMD and the result is satisfying. The HHT spectrum and marginal spectrum are obtained, then, some valuable conclusions are drawn. The high-frequency components of the acoustic signal are mainly attributed to the shock wave, and the low-frequency components mostly result from the bubble pulse. The frequency range of the acoustic signal is basically from 0 to 90kHz, and the ratio of energy in the low-frequency band(0–4kHz) to that of the total acoustic signal is up to 55.56%. Furthermore, this ratio versus gaps is also explored and it has the minimum at the gap of 1.5 mm which is the optimal gap for the peak pressure and radiated energy of the acoustic signal. Therefore, we can not obtain the maximum energy of the acoustic signal and the maximum ratio in the low-frequency band simultaneously.
Retrospective comparison of G-EYE balloon-colonoscopy with standard colonoscopy for increased adenoma detection rate and reduced polyp removal time
Authors: Kiesslich Ralf , Teubner Daniel , Hoffman Arthur , Rey Johannes W. 
Published: January 2023

Abstract
Background and study aims The newly introduced G-EYE colonoscope (G-EYE) employs a balloon, installed at the bending section of a standard colonoscope (SC), for increasing adenoma detection and stabilizing the colonoscope tip during intervention. This retrospective work explores the effect of introducing G-EYE into an SC endoscopy room, in terms of adenoma detection and polyp removal time.
Patients and methods This was a single-center, retrospective study. Historical data from patients who underwent colonoscopy prior to, and following, introduction of G-EYE into a particular endoscopy room were collected and analyzed to determine adenoma detection rate (ADR), adenoma per patient (APP), and polyp removal time (PRT), in each of the SC and G-EYE groups.
Results Records of 1362 patients who underwent SC and 1433 subsequent patients who underwent G-EYE colonoscopy in the same endoscopy unit by the same endoscopists were analyzed. Following G-EYE introduction, overall ADR increased by 37.5 % (P < 0.0001) from 39.2 % to 53.9 %, the serrated adenoma rate increased by 47.3 % from 27.9 % to 41.1 % (P < 0.0001), and the APP increased by 50.6 % from 0.79 to 1.19 (P < 0.0001). The number of advanced adenomas increased by 32.7 %, from 19.6 % to 26.0 % of all adenomas (P < 0.0001). With G-EYE, average PRT was reduced overall by 29.5 % (P < 0.0001), and particularly for endoscopic mucosal resection (EMR) by 37.5 % for polyps measuring ≥ 5 mm to ≤ 20 mm (P < 0.0001) and by 29.4 % for large polyps > 20 mm (P < 0.0001).
Conclusions Introduction of G-EYE to an SC endoscopy room yielded considerable increase in ADR and notable reduction in PRT, particularly with the EMR technique. G-EYE balloon colonoscopy might increase the effectiveness of colorectal cancer screening and surveillance colonoscopy, and can shorten the time of endoscopic intervention.
A Retrospective Analysis of BCR-ABL1 Kinase Domain Mutations in the Frontline Drug Intolerant or Resistant Chronic Myeloid Leukemia Patients: An Indian Experience from a High-End Referral Laboratory
Authors: Majumdar Atreye , Katara Rahul , Mishra Avshesh , Gupta Aastha , Sharma Deepak K. , Srivastava Aman K. , Sharma Shivani , Jaiswal Ankita , Dixit Mallika , Kumar Vipin , Kumar Sachin , Kumar Varun , Sharma Rahul , Mohanty Sambit K. 
Published: January 2023

Objective This article identifies and evaluates the frequency of mutations in the BCR-ABL1 kinase domain (KD) of chronic myeloid leukemia (CML) patients who showed suboptimal response to their current tyrosine kinase inhibitor (TKI) regime and assesses their clinical value in further treatment decisions.
Materials and Methods Peripheral and/or bone marrow were collected from 791 CML patients. Ribonucleic acid was extracted, reverse transcribed, and Sanger sequencing method was utilized to detect single-nucleotide variants (SNVs) in BCR-ABL1 KD.
Results Thirty-eight different SNVs were identified in 29.8% (n = 236/791) patients. T315I, E255K, and M244V were among the most frequent mutations detected. In addition, one patient harbored a novel L298P mutation. A subset of patients from the abovementioned harbored compound mutations (13.3%, n = 33/236). Follow-up data was available in 28 patients that demonstrated the efficacy of TKIs in correlation with mutation analysis and BCR-ABL1 quantitation. Molecular response was attained in 50% patients following an appropriate TKI shift. A dismal survival rate of 40% was observed in T315I-harboring patients on follow-up.
Conclusion This study shows the incidence and pattern of mutations in one of the largest sets of Indian CML patients. In addition, our findings strengthen the prognostic value of KD mutation analysis among strategies to overcome TKI resistance.
Acetabular Inclination as a Function of Hip Center of Rotation While Obtaining Inferior Screw Fixation: A Simulation Model
Authors: Sheth Neil P. , Duxbury Elizabeth A. , Melnic Christopher M. 
Published: January 2023

AbstractClinical success of cementless total hip arthroplasty is predicated on proper component position, restoration of biomechanics, and implantation of a mechanically stable construct. In the setting of acetabular bone loss, this target is more difficult to achieve, and elevation of the center of hip rotation may compromise the ability to obtain inferior screw fixation. We used the LifeMOD virtual human modeling simulation software (Smith & Nephew, San Clemente, CA) to determine the relationship between cup inclination and center of rotation position while maintaining the ability to obtain screw fixation within the superior pubic ramus. This simulation demonstrated that for every 5 mm of hip center elevation, cup inclination increased by 5.67 degrees. Based on this data, we recommend the use of a porous acetabular component when the hip center is elevated. This acetabular reconstruction allows for cementation of a liner to address the vertical nature of the cup needed to obtain inferior screw fixation within the superior pubic ramus.
Effective colors for information design
Authors: Wang Zheng , Cheung Vien , Lonsdale Maria 
Published: January 2023

Abstract
This study evaluated the effectiveness of China’s high-speed railway map’s color system based on color design
principles in information design. Various design limitations of the color system were identified and analyzed. A new color system
which enhanced the legibility of the map was re-coded and was considered satisfactory in the usability test. The research explores
the effect of colors in map design and provides valuable color-coding guidance, which may be applied to map design and to the
design of other information materials. The color evaluation, re-coding and usability test methods may bring practical insights for
information designers and color design researchers.
Coping as a Moderator of Associations Between Symptoms and Functional and Affective Outcomes in the Daily Lives of Individuals With Multiple Sclerosis
Authors: Valentine Thomas R , Kuzu Duygu , Kratz Anna L 
Published: January 2023

AbstractBackgroundPain and fatigue are highly prevalent in multiple sclerosis (MS) and are associated with adverse physical, social, and psychological outcomes. There is a critical need to identify modifiable factors that can reduce the impact of these symptoms on daily life.PurposeThis study examined the moderating role of dispositional coping in the relationships between daily fluctuations (i.e., deviations from a person’s usual level) in pain and fatigue and same-day functional/affective outcomes.MethodsAdults with MS (N = 102) completed a self-report measure of dispositional coping (Brief COPE), followed by 7 days of ecological momentary assessment of pain and fatigue and end-of-day diaries assessing same-day pain interference, fatigue impact, social participation, upper extremity and lower extremity functioning, depressive symptoms, and positive affect and well-being (PAWB). Multilevel models tested interactions between daily symptom fluctuations and dispositional coping (avoidant/approach) in predicting same-day outcomes.ResultsHigher approach coping mitigated the same-day association between pain and pain interference, whereas higher avoidant coping augmented this association. Daily PAWB benefits were seen for those who reported high approach coping and low avoidant coping; effects were only observed on days of low pain (for approach coping) and low fatigue (for avoidant coping). Avoidant coping was associated with worse fatigue impact, social participation, lower extremity functioning, and depressive symptoms.ConclusionsWhen faced with pain and fatigue, avoidant coping is associated with increased, and approach coping with decreased, functional/affective difficulties in the daily lives of individuals with MS. Altering coping strategy use may reduce the impact of pain and fatigue.
A Single-Center Experience With Gynecomastia Treatment Using Liposuction, Complete Gland Removal, and Nipple Areola Complex Lifting Plaster Technique: A Review of 448 Patients
Authors: Ramasamy Karthik , Tripathee Sanjib , Murugesh Anitha , Jesudass Joyce , Sinha Rakesh , Alagarasan Abisshek Raj 
Published: January 2023

Abstract

Background
Gynecomastia is defined as a benign enlargement of male breast glandular tissue. It is the most common breast condition in male, and the prevalence ranges from 32% to 72%. No standardized treatment exists for gynecomastia.

Objectives
The authors treat gynecomastia patient with liposuction and complete gland excision through periareolar incision without skin excision. In case of skin redundancy, the authors use their special technique called nipple areola complex (NAC) plaster lift technique.

Methods
The authors conducted the retrospective analysis of patient who underwent gynecomastia surgery between January 2020 and December 2021 at Chennai Plastic Surgery. All patients were treated with liposuction, gland excision, and NAC lifting plaster when required. The follow-up period ranges from 6 to 14 months.

Results
A total of 448 patients (896 breasts) were included in our study with average age of 26.6 years. Grade II gynecomastia was most common in our study. The average BMI of the patients was 27.31 kg/m2. One hundred and sixteen patients (25.9%) experienced some form of complication. Seroma was most common complications in our study followed by superficial skin necrosis. Patient satisfaction rate was high in our study.

Conclusions
Gynecomastia surgery is safe and highly rewarding procedure for surgeons. Various technologies and methods like liposuction, complete gland excision, and NAC lifting plaster technique should be adopted in gynecomastia treatment to give a better patient satisfaction. Complications are common in gynecomastia surgery but easily manageable.

Level of Evidence: 4
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction
Authors: Zheng Zixi , Tan Yanyan , Wang Hong , Yu Shengpeng , Liu Tianyu , Liang Cheng 
Published: January 2023

Abstract

Motivation
Molecular property prediction is a significant requirement in AI-driven drug design and discovery, aiming to predict the molecular property information (e.g. toxicity) based on the mined biomolecular knowledge. Although graph neural networks have been proven powerful in predicting molecular property, unbalanced labeled data and poor generalization capability for new-synthesized molecules are always key issues that hinder further improvement of molecular encoding performance.

Results
We propose a novel self-supervised representation learning scheme based on a Cascaded Attention Network and Graph Contrastive Learning (CasANGCL). We design a new graph network variant, designated as cascaded attention network, to encode local–global molecular representations. We construct a two-stage contrast predictor framework to tackle the label imbalance problem of training molecular samples, which is an integrated end-to-end learning scheme. Moreover, we utilize the information-flow scheme for training our network, which explicitly captures the edge information in the node/graph representations and obtains more fine-grained knowledge. Our model achieves an 81.9% ROC-AUC average performance on 661 tasks from seven challenging benchmarks, showing better portability and generalizations. Further visualization studies indicate our model’s better representation capacity and provide interpretability.
Metapath-aggregated heterogeneous graph neural network for drug–target interaction prediction
Authors: Li Mei , Cai Xiangrui , Xu Sihan , Ji Hua 
Published: January 2023

Abstract
Drug–target interaction (DTI) prediction is an essential step in drug repositioning. A few graph neural network (GNN)-based methods have been proposed for DTI prediction using heterogeneous biological data. However, existing GNN-based methods only aggregate information from directly connected nodes restricted in a drug-related or a target-related network and are incapable of capturing high-order dependencies in the biological heterogeneous graph. In this paper, we propose a metapath-aggregated heterogeneous graph neural network (MHGNN) to capture complex structures and rich semantics in the biological heterogeneous graph for DTI prediction. Specifically, MHGNN enhances heterogeneous graph structure learning and high-order semantics learning by modeling high-order relations via metapaths. Additionally, MHGNN enriches high-order correlations between drug-target pairs (DTPs) by constructing a DTP correlation graph with DTPs as nodes. We conduct extensive experiments on three biological heterogeneous datasets. MHGNN favorably surpasses 17 state-of-the-art methods over 6 evaluation metrics, which verifies its efficacy for DTI prediction. The code is available at https://github.com/Zora-LM/MHGNN-DTI.
Predicting lncRNA–disease associations based on combining selective similarity matrix fusion and bidirectional linear neighborhood label propagation
Authors: Xie Guo-Bo , Chen Rui-Bin , Lin Zhi-Yi , Gu Guo-Sheng , Yu Jun-Rui , Liu Zhen-guo , Cui Ji , Lin Lie-qing , Chen Lang-cheng 
Published: January 2023

AbstractRecent studies have revealed that long noncoding RNAs (lncRNAs) are closely linked to several human diseases, providing new opportunities for their use in detection and therapy. Many graph propagation and similarity fusion approaches can be used for predicting potential lncRNA–disease associations. However, existing similarity fusion approaches suffer from noise and self-similarity loss in the fusion process. To address these problems, a new prediction approach, termed SSMF-BLNP, based on organically combining selective similarity matrix fusion (SSMF) and bidirectional linear neighborhood label propagation (BLNP), is proposed in this paper to predict lncRNA–disease associations. In SSMF, self-similarity networks of lncRNAs and diseases are obtained by selective preprocessing and nonlinear iterative fusion. The fusion process assigns weights to each initial similarity network and introduces a unit matrix that can reduce noise and compensate for the loss of self-similarity. In BLNP, the initial lncRNA–disease associations are employed in both lncRNA and disease directions as label information for linear neighborhood label propagation. The propagation was then performed on the self-similarity network obtained from SSMF to derive the scoring matrix for predicting the relationships between lncRNAs and diseases. Experimental results showed that SSMF-BLNP performed better than seven other state of-the-art approaches. Furthermore, a case study demonstrated up to 100% and 80% accuracy in 10 lncRNAs associated with hepatocellular carcinoma and 10 lncRNAs associated with renal cell carcinoma, respectively. The source code and datasets used in this paper are available at: https://github.com/RuiBingo/SSMF-BLNP.
Dynamics of demand-side and supply-side responses to front-of-pack nutrition labels: a narrative review
Authors: De Marchi Elisa , Cavaliere Alessia , Pucillo Flavia , Banterle Alessandro , Nayga Rodolfo M 
Published: January 2023

AbstractThe European Union (EU) food market is characterised by the presence of several front-of-pack nutrition labels (FOPLs), some of which have only been introduced lately. While the EU Commission proposed to harmonise and possibly mandate the use of FOPLs, agreement on which label to adopt has not been reached. This review explores the main issues related to the adoption of FOPLs from both the demand-side and the supply-side perspective with the aim of providing an updated evidence-based road map for the development of future studies that can contribute to extend scientific evidence and guide future food policies.