bluuebunny/crossref_metadata_2025_split huggingface dataset:
DrugAI: a multi-view deep learning model for predicting drug–target activating/inhibiting mechanisms
Authors: Zhang Siqin , Yang Kuo , Liu Zhenhong , Lai Xinxing , Yang Zhen , Zeng Jianyang , Li Shao 
Published: December 2022

AbstractUnderstanding the mechanisms of candidate drugs play an important role in drug discovery. The activating/inhibiting mechanisms between drugs and targets are major types of mechanisms of drugs. Owing to the complexity of drug–target (DT) mechanisms and data scarcity, modelling this problem based on deep learning methods to accurately predict DT activating/inhibiting mechanisms remains a considerable challenge. Here, by considering network pharmacology, we propose a multi-view deep learning model, DrugAI, which combines four modules, i.e. a graph neural network for drugs, a convolutional neural network for targets, a network embedding module for drugs and targets and a deep neural network for predicting activating/inhibiting mechanisms between drugs and targets. Computational experiments show that DrugAI performs better than state-of-the-art methods and has good robustness and generalization. To demonstrate the reliability of the predictive results of DrugAI, bioassay experiments are conducted to validate two drugs (notopterol and alpha-asarone) predicted to activate TRPV1. Moreover, external validation bears out 61 pairs of mechanism relationships between natural products and their targets predicted by DrugAI based on independent literatures and PubChem bioassays. DrugAI, for the first time, provides a powerful multi-view deep learning framework for robust prediction of DT activating/inhibiting mechanisms.
Sleep slow-wave oscillations trigger seizures in a genetic epilepsy model of Dravet syndrome
Authors: Catron Mackenzie A , Howe Rachel K , Besing Gai-Linn K , St. John Emily K , Potesta Cobie Victoria , Gallagher Martin J , Macdonald Robert L , Zhou Chengwen 
Published: December 2022

AbstractSleep is the preferential period when epileptic spike–wave discharges appear in human epileptic patients, including genetic epileptic seizures such as Dravet syndrome with multiple mutations including SCN1A mutation and GABAA receptor γ2 subunit Gabrg2Q390X mutation in patients, which presents more severe epileptic symptoms in female patients than male patients. However, the seizure onset mechanism during sleep still remains unknown. Our previous work has shown that the sleep-like state-dependent homeostatic synaptic potentiation can trigger epileptic spike–wave discharges in one transgenic heterozygous Gabrg2+/Q390X knock-in mouse model.1 Here, using this heterozygous knock-in mouse model, we hypothesized that slow-wave oscillations themselves in vivo could trigger epileptic seizures. We found that epileptic spike–wave discharges in heterozygous Gabrg2+/Q390X knock-in mice exhibited preferential incidence during non-rapid eye movement sleep period, accompanied by motor immobility/facial myoclonus/vibrissal twitching and more frequent spike–wave discharge incidence appeared in female heterozygous knock-in mice than male heterozygous knock-in mice. Optogenetically induced slow-wave oscillations in vivo significantly increased epileptic spike–wave discharge incidence in heterozygous Gabrg2+/Q390X knock-in mice with longer duration of non-rapid eye movement sleep or quiet–wakeful states. Furthermore, suppression of slow-wave oscillation-related homeostatic synaptic potentiation by 4-(diethylamino)-benzaldehyde injection (i.p.) greatly attenuated spike–wave discharge incidence in heterozygous knock-in mice, suggesting that slow-wave oscillations in vivo did trigger seizure activity in heterozygous knock-in mice. Meanwhile, sleep spindle generation in wild-type littermates and heterozygous Gabrg2+/Q390X knock-in mice involved the slow-wave oscillation-related homeostatic synaptic potentiation that also contributed to epileptic spike–wave discharge generation in heterozygous Gabrg2+/Q390X knock-in mice. In addition, EEG spectral power of delta frequency (0.1–4 Hz) during non-rapid eye movement sleep was significantly larger in female heterozygous Gabrg2+/Q390X knock-in mice than that in male heterozygous Gabrg2+/Q390X knock-in mice, which likely contributes to the gender difference in seizure incidence during non-rapid eye movement sleep/quiet–wake states of human patients. Overall, all these results indicate that slow-wave oscillations in vivo trigger the seizure onset in heterozygous Gabrg2+/Q390X knock-in mice, preferentially during non-rapid eye movement sleep period and likely generate the sex difference in seizure incidence between male and female heterozygous Gabrg2+/Q390X knock-in mice.
Decrease in CD4 T-Cell Count and Risk of Severe Morbid Conditions in People With Human Immunodeficiency Virus Infection With Controlled Viral Load After Initiating Combination Antiretroviral Therapy Between 2006 and 2018
Authors: Choufany Maria , Weiss Laurence , Makinson Alain , Roul Hélène , Livrozet Jean-Michel , Pourcher Valérie , Melica Giovanna , Rioux Christophe , Viard Jean-Paul , Marshall Esaie , Grabar Sophie , Costagliola Dominique 
Published: December 2022

AbstractBackgroundA previous study showed an association between CD4 T-cell count decline in people with human immunodeficiency virus infection (PWH) with viral suppression and an increased risk of severe morbid conditions. We aimed to assess the risk of CD4 T-cell count decline (hereafter, CD4 decline), determine associated factors, and evaluate the association of this decline with the risk of severe morbid conditions (cardiovascular disease and cancer) or death.MethodsFrom the Agence Nationale de Recherches sur le SIDA et les hépatites virales (ANRS) CO4 French Hospital Database on HIV cohort, we selected PWH &gt;18 years old who had been followed up for ≥2 years after viral suppression following the initiation of combination antiretroviral therapy (cART) between 2006 and 2018. CD4 decline was defined as 2 consecutive relative differences ≥15%. Among participants with such decline, we modeled CD4, CD8, and total lymphocyte counts before and after CD4 decline, using spline regression. The remaining objectives were assessed using Poisson regression, with the association between CD4 decline and the risk of severe morbid conditions or death evaluated during or after 6 months of decline.ResultsAmong 15 714 participants (75 417 person-years), 181 presented with CD4 decline (incidence rate, 2.4/1000 person-years (95% confidence interval, 2.1–2.8). CD8 and total lymphocyte counts also showed a similar decline. Older current age and lower viral load at treatment initiation were associated with the risk of CD4 decline. The risk of severe morbid conditions or death was 11-fold higher during the first 6 months for participants who presented with CD4 decline versus those who did not (incidence rate ratio, 10.8 [95% confidence interval, 5.1–22.8]), with no significant difference after 6 months.ConclusionsIn PWH with viral suppression, CD4 decline was rare and related to global lymphopenia. It was associated with a higher risk of severe morbid conditions or death during the first 6 months.
Should we CLICK on chlorthalidone for treatment-resistant hypertension in chronic kidney disease?
Authors: Agarwal Rajiv 
Published: December 2022

ABSTRACT
Treatment-resistant hypertension is common among patients with advanced chronic kidney disease (CKD). In people with preserved kidney function, spironolactone is an evidence-based treatment. However, the risk for hyperkalemia limits its use in people with more advanced CKD. In the Chlorthalidone in Chronic Kidney Disease (CLICK) trial, 160 patients with stage 4 CKD and poorly controlled hypertension as confirmed by 24-hour ambulatory blood pressure (ABP) monitoring were randomly assigned to either placebo or chlorthalidone 12.5 mg daily in a 1:1 ratio stratified by prior loop diuretic use. The primary endpoint was the change in 24-hour systolic ABP from baseline to 12 weeks. The trial showed a treatment-induced reduction of 24-hour systolic ABP by 10.5 mmHg. Of the 160 patients randomized, 113 (71%) had resistant hypertension, of which 90 (80%) were on loop diuretics and the mean number of antihypertensive medications prescribed was 4.1 (standard deviation 1.1). In this subgroup of patients with treatment-resistant hypertension, the adjusted change from baseline to 12 weeks in the between-group difference in 24-hour systolic ABP was −13.9 mmHg (95% CI −19.4 to −8.4; P &lt; .0001). Furthermore, compared with placebo, the urine albumin:creatinine ratio in the chlorthalidone group at 12 weeks was 54% lower (95% CI −65 to −40). Following randomization, hypokalemia, reversible increases in serum creatinine, hyperglycemia, dizziness, orthostatic hypotension and hyperuricemia occurred more frequently in the chlorthalidone group. Chlorthalidone has the potential to improve BP control among patients with advanced CKD and treatment-resistant hypertension. However, caution is advised when treating patients, especially when they are on loop diuretics.
Performance Evaluation of FPGA-Based LSTM Neural Networks for Pulse Signal Detection on Real-Time Radar Warning Receivers
Authors: Tekincan Erdoğan Berkay , Erçelebi Ayyıldız Tülin , Ayyıldız Nizam 
Published: December 2022

AbstractRadar warning receivers are real-time systems used to detect emitted signals by the enemy targets. The conventional method of detecting the signal is to determine the noise floor and differentiate the signals above the noise floor by setting a threshold value. The common methodology for detecting signals in noisy environment is Constant False Alarm Rate (CFAR) detection. In CFAR methodology, threshold level is determined for a specified probability of false alarm. CFAR dictates the signal power to be detected is higher than the noise floor, i.e. signal-to-noise ratio (SNR) should be positive. To detect radar signals for negative SNR values machine learning techniques can be used. It is possible to detect radar signals for negative SNR values by Long Short-Term Memory (LSTM) Artificial Neural Network (ANN). In this study, we evaluated whether LSTM ANN can replace the CFAR algorithm for signal detection in real-time radar receiver systems. We implemented a Field Programmable Gate Array (FPGA) based LSTM ANN architecture, where pulse signal detection could be performed with 94% success rate at -5 dB SNR level. To the best of our knowledge our study is the first where LSTM ANN is implemented on FPGA for radar warning receiver signal detection.
User Name-Based Compression and Encryption of Images Using Chaotic Compressive Sensing Theory
Authors: K Ashwini 
Published: December 2022

Abstract
Simultaneous compression and encryption of images using a novel chaotic map is proposed in this paper. Both compression and encryption of images are carried out by the theory of compressive sensing (CS). A novel chaotic map with a high degree of chaos that is extremely sensitive to its initial parameters is proposed. A measurement matrix for the CS framework is designed based on the proposed map. The compression and recovery of images with different compression/sampling ratios are tested using the designed measurement matrix. Encryption of the compressed data is carried out using the proposed chaotic map and a novel user name-based encryption scheme. The entire encryption/decryption process proposed is completely dependent on the sequence obtained from the proposed chaotic map as well as the authorized user name. Thus, by this process, only authorized people with a valid user name will be able to decrypt the encrypted data and recover the actual underlying image. Simulation results on the proposed scheme with different images show that the average peak signal-to-noise ratio and structural similarity index values of about 32 dB and 0.861 are obtained for a sampling ratio of 0.5. Validations on the proposed map and the encryption process that were carried out using various standard tests prove the efficiency of the system in successfully compressing and encrypting the images. Also, the qualitative evaluation of the proposed compression–encryption process outperforms some of the existing works in the literature.
Key Reuse Attacks on Post-quantum Cryptosystems, Revisited
Authors: Wang Ke , Zhang Zhenfeng , Jiang Haodong , Xie Huiqin , Li Yanjun , Sun Ying , Han Lidong 
Published: December 2022

AbstractThe National Institute of Standards and Technology (NIST) has been working on standardization of post-quantum cryptography and is approaching the end of round-3 evaluation of algorithms. Key reuse security evaluation is an important part of algorithm evaluation. In order to evaluate the key reuse security of candidate IND-CPA PKEs, at Eurocrypt’19, B$\breve{\text{a}}$etu et al. proposed a classical key recovery under plaintext checking attack (KR-PCA) which can recover the reused secret keys by querying an oracle thousands of times. However, the method does not work for cryptosystems which shorten ciphertexts by rounding off the low bits, such as round-3 finalists Kyber and Saber. Subsequently, Dumittan and Vaudenay (ACNS’20) and Qin et al. (ASIACRYPT’21) came up with new effective methods, which require carefully constructed queries. In this paper, we propose an automatic method to recover the reused secret keys of IND-CPA PKEs in Kyber and Saber. Instead of constructing queries carefully, our method uses automated search combined with an optimized bruteforce. The effect and cost of the method depend on the specific parameters. In particular, we can recover the secret keys after thousands of queries in all parameter sets, which is comparable with the current best result.
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources
Authors: Cenikj Gjorgjina , Valenčič Eva , Ispirova Gordana , Ogrinc Matevž , Stojanov Riste , Korošec Peter , Cavalli Ermanno , Seljak Barbara Koroušić , Eftimov Tome 
Published: December 2022

AbstractIn the last decades, a great amount of work has been done in predictive modeling of issues related to human and environmental health. Resolution of issues related to healthcare is made possible by the existence of several biomedical vocabularies and standards, which play a crucial role in understanding the health information, together with a large amount of health-related data. However, despite a large number of available resources and work done in the health and environmental domains, there is a lack of semantic resources that can be utilized in the food and nutrition domain, as well as their interconnections. For this purpose, in a European Food Safety Authority–funded project CAFETERIA, we have developed the first annotated corpus of 500 scientific abstracts that consists of 6407 annotated food entities with regard to Hansard taxonomy, 4299 for FoodOn and 3623 for SNOMED-CT. The CafeteriaSA corpus will enable the further development of natural language processing methods for food information extraction from textual data that will allow extracting food information from scientific textual data.Database URL: https://zenodo.org/record/6683798#.Y49wIezMJJF
Epicardial fat accumulation and left heart remodelling in patients with chronic coronary syndrome
Authors: Seki Hikari , Nakanishi Koki , Daimon Masao , Hirose Kazutoshi , Mukai Yasuhiro , Yoshida Yuriko , Nakao Tomoko , Morita Hiroyuki , Di Tullio Marco R , Homma Shunichi , Komuro Issei 
Published: December 2022

AbstractAimsPatients with chronic coronary syndrome (CCS) suffer from subsequent cardiovascular events, even after complete revascularization; thus, elucidation of the underlying pathophysiological mechanisms is required. Epicardial adipose tissue (EAT) is increasingly recognized as a metabolically active organ with a key role in the pathogenesis of metabolic-related cardiac diseases. The present study investigated the association between EAT burden and left heart remodelling in patients with CCS.Methods and resultsWe studied 267 CCS patients (210 men; 71 ± 9 years) with complete revascularization and normal left ventricular (LV) ejection fraction who underwent follow-up echocardiography. All patients underwent the measurement of EAT thickness and speckle-tracking analysis to evaluate LV global longitudinal strain (LVGLS) and left atrial (LA) phasic strain. The mean EAT thickness was 5.0 ± 1.8 mm. Age, sex, body mass index, and diabetes mellitus were independently associated with EAT thickness (all P &lt; 0.05). Multivariable linear regression analysis demonstrated that EAT thickness was significantly associated with LV mass index, early diastolic mitral annular velocity, and LA conduit strain independent of age, sex, and cardiovascular risk factors (all P &lt; 0.05). On the other hand, there was no relationship between EAT thickness and LV systolic parameters including LV ejection fraction and LVGLS.ConclusionCCS patients with increased EAT thickness had unfavourable left heart remodelling. The assessment of EAT thickness by echocardiography may have clinical utility as a simple surrogate to aid in risk stratification for impaired left heart function in CCS patients.
Dual left anterior descending artery with anomalous left anterior descending artery from pulmonary artery: double trouble
Authors: Kakarla Saikiran , Sasikumar Deepa , Valakkada Jineesh 
Published: December 2022

Abstract
Anomalous origin of left anterior descending artery (LAD) from pulmonary artery (ALADCAPA) with dual LAD from left sinus is an extremely rare coronary anomaly. The diagnostic challenge lies in differentiating this from a coronary cameral fistula. Surgical reimplantation of the anomalous LAD is recommended to prevent the risk of myocardial ischaemia and ventricular arrhythmias.
Will she or won’t she? The ambivalence of female musicianship in two paintings by Bernardino Licinio (1489–1565)
Authors: Henry Chriscinda 
Published: December 2022

Abstract
This article examines the depiction of sexual propo­sition, the corruption of female virtue and the ambivalent allurements of secular music in a pair of 16th-century Concert paintings by the Venetian artist Bernardino Licinio. It argues that Licinio’s multi-figure concerts, centred on the music-making of young women, both parody and invert the classical elegiac theme of the pauper amans, the impoverished poet-lover who condemns the power of wealth and bestows poetry instead of gold on his beloved, only to be rejected due to her vanity and materialism. The pauper amans theme appears in several 16th-century Venetian strambotti and early madrigals, which are decidedly satiric in tone. In his paintings, Licinio reverses the familiar roles of poet and beloved, and the refined music of the virtuous-seeming young woman is challenged by the dissonant sound of her older male admirer shaking a purse full of coins or by his bold physical advances, which impede her playing. The dissonant and crude gesture of offering her coin payment equates the young woman’s art of music with her sexuality. It alleges not only her corruptibility and low status as a piece of merchandise for sale, but also debases the spiritually elevating art of music, with its noble and abstract figurations of love. The motif of the shaken purse with its ‘music of gold’ first appears in the Venetian dialect comedy La buelsca (c.1514), and is repeated in a series of later songs and poems centred on the subject of the grasping, mercenary prostitute in the 1520s and 30s. Licinio’s paintings play with such popular literary and musical themes but ultimately prefer visual ambiguity and unresolved narrative tension to their frankness and specificity.
Subculture and Etiolation Treatment Promotes Rooting Ability of Upper Branches of Black Locust Crown
Authors: Zhang Jie , Zhao Ye , Duan Anan , Wang Wei , Sun Yuhan , Dong Li , Cao Sen , Li Xiuyu , Liu Xiaodi , Han Chao , Uddin Saleem , Bi Wei , Wang Ruohan , Li Yun 
Published: December 2022

Abstract
The black locust (Robinia pseudoacacia L.) is an economically and ecologically important tree worldwide. However, maturation and position effects affect its asexual reproduction. Despite etiolation treatment and successive subcultures promoting the plant cutting’s rooting rate, whether the promoting effects of aging (upper) branches and young (lower) branches are consistent is unknown. Therefore, we evaluated the relevant rooting ability indicators of tree age effect and its location effect in 26-year-old R. pseudoacacia trees and the current-year branches of different parts. Branches of the upper and lower parts of these trees underwent accelerated germination to generate shoots as explants. We subjected the tissue culture–generated shoots to an etiolation treatment to investigate how the treatment and subculture time affected the rooting ability of the shoot explants induced by different parts of the black locust branch. Tissue culture shoots subjected to the etiolation treatment exhibited a 2–3 day shorter rooting time. Shoots from the upper crown organs achieved a rejuvenation effect, which manifested as enhanced rooting capacity. Our study results provide a theoretical basis for maintaining the juvenility and consistency of clones. Besides having theoretical and practical value, our study also guides the selection of suitable propagation materials for production.
Spatial Analysis of Forest Product Manufacturers in North Carolina
Authors: Sodiya Olakunle E , Parajuli Rajan , Abt Robert C , Gray Joshua 
Published: December 2022

AbstractSpatial analysis of industrial locations is an important tool for cluster-based economic development that helps identify hot spots for attracting new businesses in a particular region. The forest product industry in North Carolina (NC) is the top employer among all manufacturing sectors, with a substantial contribution to the state economy. Using geographic information system tools, we examined the current spatial distribution of the primary and secondary forest product manufacturers (FPM) and available forest resources to identify major hot spots in NC. Additionally, by estimating count data models, this study evaluated factors influencing the location of FPMs across counties in NC. Our results suggested that primary FPMs exhibit a higher spatial dependency relative to secondary FPMs. Similarly, regression results suggested that the counties near cities with high population, hot spots of raw materials, and better county economy are more likely to host both primary and secondary FPMs in the counties of NC. The findings of this study shed light on how the clustering of forest product manufacturing firms may influence competition between FPMs, sustainable supply of raw materials, and supply-chain networks in forest-dependent rural regions.