bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prefrontal Electrophysiological Biomarkers and Mechanism-Based Drug Effects in a Rat Model of Alcohol Addiction
Authors: Habelt Bettina , Afanasenkau Dzmitry , Schwarz Cindy , Domanegg Kevin , Kuchar Martin , Werner Carsten , Minev Ivan R. , Spanagel Rainer , Meinhardt Marcus W. , Bernhardt Nadine 
Published: February 2024

Abstract

Current treatments for alcohol use disorder (AUD) show large heterogeneity in response and thus limited effectiveness and high relapse rates. A precision medicine approach with biomarkers responsive to new treatments is warranted to overcome this limitation. Promising biomarkers relate to prefrontal control mechanisms that are severely disturbed in AUD. This results in reduced inhibitory control of compulsive behavior and, eventually, relapse. We reasoned here that prefrontal dysfunction, which underlies vulnerability to relapse, is evidenced by altered neuroelectric signatures and should be restored by pharmacological interventions that specifically target prefrontal dysfunction. To test this, we applied our recently developed biocompatible neuroprosthesis to measure prefrontal neural function in a well-established rat model of alcohol addiction and relapse. We monitored neural oscillations and event-related potentials in awake alcohol-dependent rats during abstinence and following treatment with psilocybin or LY379268, agonists of the serotonin 2A receptor (5-HT2AR) and the metabotropic glutamate receptor 2 (mGluR2), that are known to reduce prefrontal dysfunction and relapse. Electrophysiological impairments in alcohol-dependent rats are reduced amplitudes of P1N1 and N1P2 components and attenuated event-related oscillatory activity. Psilocybin and LY379268 were able to restore these impairments. Furthermore, alcohol-dependent animals displayed a dominance in higher beta frequencies indicative of a state of hyperarousal that is prone to relapse, which particularly psilocybin was able to counteract. In summary, we provide prefrontal markers indicative of relapse and treatment response, especially for psychedelic drugs.
From Genes to Diagnosis: Examining the Clinical and Genetic Spectrum of Maturity-Onset Diabetes of the Young (MODY) in TCGS
Authors: Asgarian Sara , Lanjanian Hossein , Anaraki Shiva Rahimipour , Hadaegh Farzad , Moazzam-jazi Maryam , Bonab Leila Najd Hassan , Masjoudi Sajedeh , Zahedi Asieh Sadat , Zarkesh Maryam , Shalbafan Bita , Akbarzadeh Mahdi , Fateh Sahand Tehrani , Khalili Davood , Momenan Amirabbas , Sarbazi Narges , Hedayati Mehdi , Azizi Fereidoun , Daneshpour Maryam S. 
Published: February 2024

Abstract

Maturity-onset diabetes of the young (MODY) is an uncommon monogenic type of diabetes mellitus. Detecting genetic biomarkers for MODY is a necessity for precise diagnosis and treatment. The majority of MODY genetic predisposition has been documented in European populations and a lack of information is present in Iranians which leads to misdiagnosis as a consequence of defects in unknown variants. In this study, using genetic variant information of 20,002 participants from the family-based TCGS (Tehran cardiometabolic genetic study) cohort, we evaluated the genetic spectrum of MODY in Iran. We concentrated on 14 previously discovered and two novel MODY-causing genes (RFX6 and NKX6-1) that were thought to be responsible for MODY. To find disease-causing mutations, genetic variants were evaluated for their pathogenicity. We discovered 6 mutations that were previously reported in the ClinVar as pathogenic/likely pathogenic (P/LP) for MODY in 45 participants from 24 families. Three potentially novel MODY-causing mutations were also identified, which showed complete disease penetrance (100%) in 10 subjects from 5 families. This is the first family-based study to define the genetic spectrum and estimate the prevalence of MODY in the Iran. The newly discovered mutations need to be investigated by additional studies.
A generative pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data
Authors: Wang Yong , Lu Yurun , Liu Dan , Liang Zhongming , Liu Yitong , Chen Pei , Liu Rui , Feng Zhanying , Li Lei , Sheng Bin , Jia Weiping , Chen Luonan , Li Huating 
Published: February 2024

Abstract

Capturing glucose dynamics including the rigorous fasting glucose homeostasis and postprandial glucose adaptation is central to the diagnosis, subtyping, early warning, lifestyle intervention, and treatment for type 2 diabetes (T2D). Recently, continuous glucose monitoring (CGM) technology has revolutionized fields to track real-time blood glucose levels and trends, and facilitated safe and effective decision making for diabetes management. Here, we developed an attention-based deep learning model, CGMformer, pretrained on a large-scale and diverse corpus of CGM data from a nationwide multi-center study in China to enable context-specific predictions and clinical applications to individuals. During pretraining, CGMformer gained a fundamental understanding of glucose dynamics, encoded glucose value, fluctuation pattern, hyperglycemia, and hypoglycemia in the attention weights of the model in a completely self-supervised manner. Fine-tuning towards a diverse panel of downstream tasks relevant to the diagnosis and treatment of diabetes and complications using task-specific data demonstrated that CGMformer consistently boosted predictive accuracy. By deciphering individual glucose dynamics, CGMformer allows us to subtype individuals with high T2D risk and identify a specific cluster of lean prediabetes that is easily overlooked by traditional glucose measurements. In particular, applied to dietary modification modelling, CGMformer predicted individual's postprandial glucose response or CGM curve, thereby provided personalized diet prescription suggestion. Overall, CGMformer represents a pretrained transformer model to decode individual glucose dynamics, from which fine-tuning towards a broad range of downstream applications can be pursued to promote T2D early warning and recommendation for therapeutic lifestyle modification in diabetes management.
Development of data-driven modeling method for nonlinear coupling components
Authors: Ryu Taesan , Baek Seunghun 
Published: February 2024

Abstract
This research introduces a methodology for data-driven regression modeling of components exhibiting nonlinear characteristics, utilizing the Sparse Identification of Nonlinear Dynamics (SINDy) method. The SINDy method is extended to formulate regression models for interconnecting components with nonlinear traits, yielding governing equations with physically interpretable solutions. The proposed methodology focuses on extracting a model that balances accuracy and sparsity among various regression models. In this process, a comprehensive model was generated using linear term weights and an error histogram. The applicability of the proposed approach is demonstrated through a case study involving a sponge gasket with nonlinear characteristics. By contrasting the predictive model with experimental responses, the reliability of the methodology is verified. The results highlight that the regression model, based on the proposed technique, can effectively establish an accurate dynamical system model, accounting for realistic conditions.
Lactate accelerates cancer progression through the ERK-GCN5 lactylation-phosphorylation feedback cascade
Authors: Yuan Jian , Huang Bingsong , Chen Yuping , Cui Gaofeng , Mer Georges , Zhong Chunlong 
Published: February 2024

Abstract
The Warburg effect released lactate promotes cancer progression, but the mechanisms remain unclear. Here, we found lactate activated MAPK pathway through ERK-lactylation to promote cancer progression. Moreover, we identified the GCN5 as the lactyl-transferase for ERK lactylation. Interestingly, activated ERK phosphorylated GCN5 and promoted GCN5 lactyl-transferase activity for ERK, which formed the positive feedback loop to facilitate lactate-mediated cancer progression. Mechanistically, ERK-K231 lactylation decreased the dissociation energy between ERK and MEK, due to the reduced electrostatic interaction between ERK-K231 and MEK-D217. This facilitated the dissociation of ERK from MEK kinases, which in turn induced ERK dimerization and activation. Hence, we developed a cell-penetrating peptide to specifically inhibit the ERK lactylation, and demonstrated the peptide impaired the tumor growth with KRAS-mutant. Taken together, we define a molecular mechanism that lactate accelerates cancer progression through ERK-GCN5 lactylation-phosphorylation cascade and provide a strategy to target ERK lactylation, especially for RAS-MAPK-driven cancers.
Particle tracking for understanding the enzyme-triggered release from hybrid systems
Authors: González-Fuentes Joaquín , Plaza-Oliver María , Santander-Ortega Manuel Jesús , Lozano Victoria 
Published: February 2024

Abstract
The success of colon-targeted oral drug delivery relies in the proper control on the release of the entrapped nanostructures at the colon. This work describes the design of hybrid systems for their enzyme-triggered release at the colon. The hybrid systems were constituted by nanoemulsions with adequate characteristics for the treatment of ulcerative colitis included in a pectin hydrogel-like matrix. For that purpose, pectins with similar degrees of methylation (< 50 %) and increasing degree of amidation, i.e. 0, 13 and 20 %, were selected. Hybrid systems were formulated by a novel aggregation induced gelation method, using Ca2+, Ba2+ or Zn2+ as aggregating agents, as well as by a polyelectrolyte condensation approach, obtaining structures in the micrometric range (< 10 mm). Despite the resistance of pectins to the upper gastrointestinal tract stimuli, the analysis of the behaviour of the different prototypes shown that the non-covalent crosslinks that allow the formation of the hybrid structure may play a relevant role on the performance of the formulation.
Our results indicated that the partial disassembling of the hybrid system’s microstructure due to the intestinal conditions may facilitate the enzyme-triggered release of the nanoemulsions at the colon. More interestingly, the particle tracking experiments shown that the condensation process that occurs during the formation of the system may affect to the enzyme degradation of pectin. In this sense, the effect of the high degree of amidation of pectin may be more prevalent as structural feature rather than as a promoter of the enzyme-triggered release.
Identification of Sentinel Lymph Node Macrometastasis in Breast Cancer by Deep Learning Based on Clinicopathological Characteristics
Authors: Dihge Looket , Edén Patrik , Svensson Miriam , Zhang Daqu 
Published: February 2024

Abstract

The axillary lymph node status remains an important prognostic factor in breast cancer, and nodal staging using sentinel lymph node biopsy (SLNB) is routine. Randomized clinical trials provide evidence supporting de-escalation of axillary surgery and omission of SLNB in patients at low risk. However, identifying sentinel lymph node macrometastases (macro-SLNMs) is crucial for planning treatment tailored to the individual patient. This study is the first to explore the capacity of deep learning (DL) models to identify macro-SLNMs based on preoperative clinicopathological characteristics. We trained and validated five multivariable models using a population-based cohort of 18,185 patients. DL models outperform logistic regression under the constraint that the sensitivity is no less than 90%, reflecting the sensitivity of SLNB. This highlights the feasibility of noninvasive macro-SLNM prediction using DL. Feature importance analysis revealed that patients with similar characteristics exhibited different nodal status predictions, indicating the need for additional predictors for further improvement.
Measuring Inequality and Poverty with Income and Consumption in Mexico
Authors: Samano-Robles Claudia 
Published: February 2024

Abstract
This paper examines poverty and inequality measures in Mexico from 1994 to 2014 using income and consumption data. Four resource measures are constructed, two income-based and two consumption-based. The findings reveal that consumption inequality, as measured by the Gini index, is consistently lower than income inequality. Growth Incidence Curves indicate pro-poor growth, and the analysis shows that income-poor and consumption-poor households don't entirely overlap, with a reduced overlap in 2014. This suggests underreporting in the lower income distribution, possibly due to increased informal employment. The argument is that consumption-based measures offer better approximations of household living standards and can complement income measures.
JEL Classification: I32, D63
Black hole jets on the scale of the Cosmic Web
Authors: Oei Martijn S.S.L. , Hardcastle Martin J. , Timmerman Roland , Gast Aivin R.D.J.G.I.B. , Botteon Andrea , Rodriguez Antonio C. , Stern Daniel , Rivera Gabriela Calistro , Weeren Reinout J. van , Röttgering Huub J.A. , Intema Huib T. , de Gasperin Francesco , Djorgovski S.G. 
Published: February 2024

Abstract

Jets launched by supermassive black holes transport relativistic leptons, magnetic fields, and atomic nuclei from the centres of galaxies to their outskirts and beyond. These outflows embody the most energetic pathway by which galaxies respond to their Cosmic Web environment. Studying black hole feedback is an astrophysical frontier, providing insights on star formation, galaxy cluster stability, and the origin of cosmic rays, magnetism, and heavy elements throughout the Universe. This feedback’s cosmological importance is ultimately bounded by the reach of black hole jets, and could be sweeping if jets travel far at early epochs. Here we present the joint LOFAR–uGMRT–Keck discovery of a black hole jet pair extending over 7 megaparsecs — the largest galaxy-made structure ever found. The outflow, seen 7.5 gigayears into the past, spans two-thirds of a typical cosmic void radius, thus penetrating voids at ∼95% probability. This system demonstrates that jets can avoid destruction by magnetohydrodynamical instabilities over cosmological distances, even at epochs when the Universe was 15–7 times denser than it is today. Whereas previous record-breaking outflows were powered by radiatively inefficient active galactic nuclei, this outflow is powered by a radiatively efficient active galactic nucleus, a type common at early epochs. If, as implied, a population of early void-penetrating outflows existed, then black hole jets could have overwritten the fields from primordial magnetogenesis. This outflow shows that energy transport from supermassive black holes operates on scales of the Cosmic Web and raises the possibility that cosmic rays and magnetism in the intergalactic medium have a non-local, cross-void origin.
Clinicopathological characteristics and prognostic factors of patients with surgically treated high-grade neuroendocrine carcinoma of the cervix: A multicenter, retrospective study
Authors: Lyu Yanhong , Liu Hai-xia , Han Xue , Yuan Peng , Wang Ming-yi , He Yuan-yuan , Ge Jun-li , Zou Wei , Jing Ru , Xin Cai-shi , Yang Hong , chen biliang , Chen Gao-Wen , li jia 
Published: February 2024

Abstract
Objective To evaluate the prognostic factors and survival outcome of patients with surgically treated high-grade neuroendocrine carcinoma of the cervix (NECC).
Methods It was a multi-center, retrospective study that involved 98 cervical cancer patients with stage IA2-IIIC high-grade NECC. We divided them into two groups based on histology: the pure group and the mixed group. All clinicopathological variables of patients were evaluated retrospectively. Cox regression and Kaplan-Meier methods were used for analysis.
Results In our study, 60 patients was in the pure group and 38 patients was in the mixed group. Via COX multivariable analysis, the mixed histology was a protective factor impacting OS (P=0.026) and progression free survival(PFS)(P=0.018) in surgically treated high-grade NECC. On the other hand, the survival outcomes were negatively impacted by ovarian reservation (OS: HR, 20.84; 95%CI, 5.02~86.57, P<0.001), age>45y(OS: HR, 4.50; 95%CI, 1.08~18.83, P=0.039), tumor size>4cm(OS: HR, 6.23; 95%CI, 2.34~16.61, P<0.001), parity>3(OS: HR, 4.50; 95%CI, 1.02~19.91, P=0.048), and perineural invasive(OS: HR, 5.21; 95%CI, 1.20~22.53, P=0.027) . The Kaplan-Meier survival curves revealed notable variances in terms of histologic type (OS: P=0.045; PFS: P=0.024), chemotherapy (OS: P=0.0056; PFS: P=0.0041), ovarian reservation (OS: P=0.00031; PFS: P=0.0023), uterus invasion (OS:P<0.0001; PFS: P<0.0001) and depth of stromal invasion (OS:P=0.043; PFS: P=0.022).
Conclusions Patients with mixed histologic type who undergo surgery for NECC have a better prognosis. Meanwhile, ovarian reservation, tumor size>4cm, parity>3, age>45y and perineural invasion are poor predictors of prognosis. Patients with those high-risk factors should be taken seriously in clinical practice.
Comparison of the Accuracy of the Image Registration Methods for the impressions of edentulous jaws
Authors: Liu Ming-Li , Li Xiao-Tong , Qu Zhe 
Published: February 2024

Abstract

Objective
In medical image research, such as the comparison before and after treatment, the comparison of different treatment methods, etc., correct registration is the prerequisite for the reliability of image deviation research results, and the best fitting alignment is a common method, but whether there are application conditions or application techniques is rarely reported in the literature.The aim of present study was to investigate the accuracy of two registration methods, best fit alignment and manual multi-point alignment followed by global registration, used in edentulous jaw impressions.
Materials and Methods
Traditional complete denture impressions were taken via two methods: open-mouth and closed-mouth methods. The edentulous impression models, including maxilla:14 pairs and mandible:12 pairs, were scanned in the model scanner and saved in STL format. In the reverse engineering software Geomagic Control 2014, two registration methods, namely, best fit alignment and manual multi-point alignment combined with global registration, were used independently to align the open-mouth and closed-mouth impressions of the same patient, and the 3-dimensional (3D) deviation between the reference and test models was recorded. SPSS26.0, paired t test, significance criterion two-sided α = 0.05.
Results
The nominal value threshold was less common in the best fit alignment group (maxilla 48.58%, mandible 44.16%) than in the manual + global registration group (maxilla 70.55%, mandible 66.27%), maxilla P = 0.000 < 0.05, mandible P = 0.014 < 0.05. The root mean square (RMS), average positive deviation and average negative deviation of the best-fit alignment group were greater than those of the manual + global registration group, there were significant differences in the maxillary (P < 0.05), but not significant difference in the mandibular (P > 0.05).
Conclusion
The manual multi-point combined global registration method is more accurate than the best fitting alignment used in the registration of edentulous jaw impressions and is more effective for the maxilla.
Domain Adaptation Using Large Scale Databases for Sleep Staging from a Novel In-Ear Sensor
Authors: Waters Samuel , Berent Jonathan , Saini Prabhjyot , Clifford Gari 
Published: February 2024

Abstract

Background: Sleep disorders and poor sleep quality contribute to serious health problems and loss of quality of life, however there are few ways to reliably monitor the progression or treatment of sleep disorders for periods of more than a few nights. Long-term at-home monitoring of sleep quality is typically conducted via wrist-worn actigraphy sensors or subjective surveys, however such methods are far less reliable than full in-hospital polysomnography. Recent advances however have been made in using ear EEG as an alternative to scalp EEG for sleep staging , among other tasks. NextSense Inc. has developed a commercial EEG sensor which fits within the ear canal and which has been shown to be effective for seizure detection.
Methods: We developed and evaluated the effectiveness of a deep transfer learning-based automated sleep staging algorithm for use with the NextSense device. A deep neural network was pre-trained on 1100 in-hospital polysomno-grams from the Wisconsin Sleep Cohort before fine-tuning on 8 recordings taken using the NextSense device.
Results: Our approach achieved leave-one-subject-out cross-validation accuracy of 77.3% and Cohen’s κ of .647, beating the performance of multiple FDA-approved wearable scalp EEG sensors.
Conclusion: These findings validate the use of the NextSense earbuds for use in sleep staging and open the possibility for at-home sleep monitoring using methods which are both more reliable than wrist-worn sensors and less cumbersome than bulky scalp EEG sensors.
WITHDRAWN: Effects of Mineral pitch (Asphaltum punjabianum) supplemented diet on rohu (Labeo rohita): growth performance, immunological indices, antioxidant enzymes, and expression levels of immunity and growth- related genes
Authors: Khan Shawal 
Published: February 2024

Abstract

A 60 day completely randomized feeding experiment in triplicate was designed to evaluate the effect of a Mineral pitch supplemented diet on the growth performance and overall health status of Labeo rohita. Uniform-sized 240 rohu (average weight 60.2 ± 0.02g) were evenly distributed in 12 concrete rectangular tanks (1250 L) at a stocking density of 1g L− 1. Fish were divided into 4 groups i.e., the control group (C; provided with 32% CP basal diet), while other experimental groups were reared on Mineral pitch supplemented diet i.e., 2g (T2), 4g (T4), and 6g (T6) Mineral pitch kg− 1 diet. Results indicated a significant effect of Mineral pitch supplementation on the growth performance of fish i.e., improved weight gain (%WG), specific growth rate (% SGR) and protein efficiency ratio (PER) with maximum response observed in T6 group of fish followed by T4. Moreover, proximate analysis of muscle followed the same trend with increased levels of crude protein, lipids, and ash in the T6 group of fish. Also, significantly (p ≤ 0.05) improved immunological indices (WBC, total plasma protein, IgM, lysozyme, respiratory burst, and phagocytic activity), hemato-biochemical indices (RBC, HCT, Hb, MCH, MCV, MCHC, AST, ALT) and anti-oxidant enzyme activities (CAT, SOD, POD, LPO) was observed in T6 group of fish followed by T4. Furthermore, nutrigenomic studies also indicated increased mRNA level of growth response genes (MyoD and MyoG) in muscle and immune genes (Lysozyme C and TNF-α) in the liver of the experimental group of fish with maximum levels in the T6 group followed by T4 group. Overall results of the study revealed Mineral pitch supplementation in L. rohita as potential growth and an immune booster at a dosage level of 6 g kg− 1 in the diet.