bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual Representation Propagation Comparative Learning for Recommendations
Authors: Huang Huohui , Fan Xin , Tian Shengwei , Yu Long 
Published: April 2024

Abstract

Graph neural networks combined with comparative learning have become a very popular paradigm in recommender systems. However, most methods still suffer from data sparsity, noise and difficulty in extracting multi-granularity information. To address these limitations, we propose a Dual Representation Propagation Comparative Learning(DRPCL) method, which uses propagation representations based on two rules to extract multi-granularity signals, including graph convolutional propagation pathway and message node propagation pathway. Where the message node propagation pathway extracts and integrates local and global signals. And the dual-pathway node representations generate misaligned contrastive views and denoising auxiliary supervision signals to mitigate the negative effects of data sparsity and noise. Experimental results show that our DRPCL is able to demonstrate performance superiority over other bases on different datasets. Some in-depth experimental analysis demonstrates the robustness of DRPCL against data sparsity and noise.
Multi-task Dual-Graph Network framework for Aspect Sentiment Triplet Extraction
Authors: Wang Liuxuan , Zheng Yanqian , Tang Mingwei , Meng Kezhu , Zhao Mingfeng , Zhou Wei 
Published: April 2024

Abstract

Aspect Sentiment Triplet Extraction is a task that extracts aspects, opinion words corresponding to aspects and sentiment polarity from review sentences. Although aspect emotion triple extraction technology has achieved remarkable results in recent years, it still has a few drawbacks. Many existing research methods ignore important issues, such as the dependency relationships between emotional triad elements and the detection of aspect and viewpoint boundary terms at the phrase-level. Due to the above problems, this paper proposes a multi-task joint learning architecture based on dual graph networks (DGNMT). Firstly, a shared sentence encoder module is proposed in the model. The middle-layer and top-level feature representations of the BERT encoder are applied to two different subtasks in this module. Secondly, Dual-Graph Network Learning module has been designed. As part of the dual-graph network learning layer, this module introduces a graph attention network based on phrase structure trees in the joint extraction task branch. For the triple extraction task branch, a graph convolution network is used based on the modified syntactic dependency graph in order to determine the syntactic relationships between triple elements. Additionally , the Multi-Task Tagging module is proposed to extract labels for tasks as well as triplet extraction tasks. And then, predictions are made based on 1D sequence tags and 2D word pair matrices, and the tag information of the two tasks is transformed into each other through a conversion strategy. According to the final experimental results, the model outperforms a state-of-the-art baseline model on four commonly used evaluation indicators.
Modeling of Quantum Cognitive Perceptual Associative Memory for Conscious Agents: A Parametrized Circuit of Quantum Neural Networks
Authors: Mahmood Tariq , Sherwani Rehan Ahmad Khan 
Published: April 2024

Abstract
Perceptual memory is important for human cognition and learning because it plays an important role in forming consciousness, memories, learning, and stimulus awareness. Perceptual memory assists in the recognition of items or faces, as well as in the sorting, differentiating, and combining of new information with context and emotions. Perceptual-associative memory encodes information structurally, semantically, and phonetically. It interacts with the conscious artifact's medium-term memory (MTM), long-term memory (LTM), workspace, and emotion modules to construct meanings and connections to chosen sensory information. This research developed a quantum cognitive model of perceptual associative memory to replicate human-like perceptual cognitions in conscious artifacts. Moreover, for the quantum neural correlates of consciousness, this research has also simulated the circuit of the quantum neural network for non-linear learning of an XOR gate using the qiskit library.
Repurposing pitavastatin and atorvastatin to overcome chemoresistance of metastatic colorectal cancer under high glucose conditions
Authors: Cheng Wei-Ming , Li Po-Chen , Nguyen Minh Tran-Binh , Lin Yu-Teng , Huang Yu-Tang , Cheng Tai-Shan , Nguyen Thi-Huong , Tran Thu-Ha , Huang Tzu-Yi , Hoang Thu-Huyen , Chen Sin-Yu , Chu Yu-Chieh , Wu Chih-Wei , Lee Ming-Fen , Chiou Yi-Shiou , Liu Hsiao-Sheng , Hong Yi-Ren , Chang Peter Mu-Hsin , Hu Yu‑Feng , Chang Ying-Chih , Lai Jin-Mei , Huang Chi-Ying F. 
Published: April 2024

Abstract
Background
Colorectal cancer (CRC) poses a significant clinical challenge because of drug resistance, which can adversely impact patient outcomes. Recent research has shown that abnormalities within the tumor microenvironment, especially hyperglycemia, play a crucial role in promoting metastasis and chemoresistance, and thereby determine the overall prognosis of patients with advanced CRC.
Methods
This study employs data mining and consensus molecular subtype (CMS) techniques to identify potential drugs for targeting high glucose-induced drug resistance in advanced CRC cells. CRC cells maintained in low or high glucose conditions were established and were used to evaluate the cytotoxic effects of potential drugs with or without 5-FU. CRC 3D spheroids cultured were also included to demonstrate the anti-drug resistance of these potential drugs.
Results
A bioinformatics analysis identified pitavastatin and atorvastatin as promising drug candidates. We established the CMS4 CRC cell line SW480 (SW480-HG) cultured under high glucose conditions to simulate hyperglycemia-induced drug resistance and metastasis in CRC patients. We showed that both pitavastatin and atorvastatin can effectively inhibit cell proliferation and 3D spheroid formation of CMS4 CRC cells under high glucose conditions. In addition, both pitavastatin and atorvastatin can synergistically promote the 5-FU-mediated cytotoxic effect and inhibit the growth of 5-FU-resistant CRC cells. Mechanistically, pitavastatin and atorvastatin can induce apoptosis and synergistically promote the 5-FU-mediated cytotoxic effect by activating autophagy, as well as the PERK/ATF4/CHOP signaling pathway while decreasing YAP expression.
Conclusion
This study highlights the biomarker-guided precision medicine strategy for drug repurposing. We showcase pitavastatin and atorvastatin with the moonlighting role for treating advanced CRC, particularly with CMS4 subtype CRC patients who also suffer from hyperglycemia. Pitavastatin, with an achievable dosage used for clinical interventions, is highly recommended for a novel CRC therapeutic strategy.
A Holistic Physics-Informed Neural Network Solution for Precise Destruction of Breast Tumors using High-Intensity Focused Ultrasound on a Realistic Breast Model
Authors: Lari Salman , Rajabzadeh Hossein , Kohandel Mohammad , Kwon Hyock Ju 
Published: April 2024

Abstract
This study presents a novel approach for the precise ablation of breast tumors using high-intensity focused ultrasound (HIFU), leveraging a physics-informed neural network (PINN) integrated with a realistic breast model. The potential of high-intensity focused ultrasound (HIFU) in eliminating breast tumors has shown significant promise. This technique employs concentrated ultrasonic waves to generate intense heat, effectively destroying cancerous tissue. In previous finite element method (FEM) models, the computational demands of handling extensive datasets, multiple dimensions, and discretization pose significant challenges. Our PINN-based solution operates efficiently in a mesh-free domain, achieving remarkable accuracy with significantly reduced computational demands, compared to conventional FEM techniques. Additionally, employing PINN for estimating partial differential equations (PDE) solutions can notably decrease the enormous number of discretized elements needed. The model employs a bowlshaped acoustic transducer to focus ultrasound waves accurately on the tumor location. The simulation results offer detailed insights into each step of the HIFU process. By applying a 3.8 nm displacement amplitude of transducer input pulse at a frequency of 1.1 MHz for 1 second at the focal point, the focal point temperature reaches 38.4 °C. Subsequently, continuing the ablation process for another 90 seconds without the acoustic source leads to extensive necrosis of the tumor tissues. Validation of the PINN model’s accuracy was conducted through FEM analysis and a series of tests using ex vivo bovine liver, aligning closely with real-world HIFU therapy scenarios. This innovative platform provides physicians with a predictive tool to estimate the necrosis of tumor tissue, facilitating the customization of HIFU treatment strategies for individual breast cancer patients.
Has Anti-corruption Efforts lowered Enterprises’ Innovation Efficiency? — An Empirical Analysis from China
Authors: liu lunwu 
Published: April 2024

Abstract
This study adopts the fixed effects panel model and provincial panel data on anticorruption and the innovation efficiency of high-level technology and new technology enterprises in China from 2005 to 2014, to estimate the effects of the anticorruption movement on the innovation efficiency of enterprises at different corruption levels. The empirical results show that anticorruption is positively correlated with the innovation efficiency of enterprises; however, the correlation is differentiated according to different corruption levels and business natures. At a high level of corruption, anticorruption has positive impacts on enterprises’ innovation; at a low level of corruption, it negatively affects innovation efficiency. However, anticorruption has negative effects on the innovation efficiency of state-owned enterprises at both high and low corruption levels; for nonstate-owned enterprises, its effects are positive at a high corruption level and negative at a low corruption level. The effects remain the same across different regions.
Understanding the Roles of Non-coding RNAs and Exosomal Non-Coding RNAs in Diabetic Nephropathy
Authors: Zhu Yuye , Liu Chunying , Hallajzadeh Jamal 
Published: April 2024

Abstract:
One of the greatest serious side effects of diabetes is diabetic nephropathy
(DN), which is also the key factor in the sometimes-deadly diabetic end-stage renal
disease. Progressive renal interstitial fibrosis is closely associated with oxidative
stress, and the extracellular matrix is typically a feature of DN. Some RNAs formed by
genome transcription that are not translated into proteins are recognized as noncoding
RNAs. It has been shown that ncRNAs control apoptosis, inflammatory
response, cell proliferation, autophagy, and other pathogenic processes, contributing
to the pathogenesis of DN. Exosomes are nano-carriers vesicles that variety in size
from 40 to 160 nm. Exosomes are widely present and dispersed in different bodily
fluids, plentiful in nucleic acids, lipids, and proteins (microRNA, mRNA, tRNA, lncRNA,
circRNA, etc.). Exosomes play a crucial role as messengers for cellular
communication. They transport and transmit key signaling molecules, participate in the
transfer of information and materials between cells, control cellular physiological
processes, and are carefully linked to the beginning and development of many
diseases. Herein, we summarized the role of different ncRNAs in DN. Moreover, we
highlighted the role of the exosomal form of ncRNAs in the DN pathogenesis.
Novel Compound Heterozygous Mutations of LIG4 Gene in an Indian
LIG4 Syndrome Patient with Severe Microcephaly: Case Report, In-silico
Analysis and Systematic Review
Authors: Singh Amit , Senapati Sabyasachi , Panigrahi Inusha , Khetarpal Preeti 
Published: April 2024

Background::
LIG4 syndrome, characterized by immunodeficiency, sensitivity to ionizing
radiations, intrauterine growth retardation, postnatal growth retardation, and microcephaly, is
a rare genetic disorder caused by pathogenic variants of the LIG4 gene. Few patients are presented
with no immune dysregulation as well.

Case Study:
We present here a male child of 2 years and 4 months of age with severe microcephaly
and short stature. His birth weight was 1.9 Kg, and his current height, weight, and head circumference
are 83.2 cm (z score = -2.37), 9.5 Kg (z score = -2.76), and 36 cm (z score = -9.24), respectively.
Possible causative pathogenic compound heterozygous variants of the LIG4 gene, which
were inherited from the parents, were identified by whole exome sequencing of the DNA of the patient
and his parents. A systematic review of the literature is also performed to summarize the patients
of LIG4 syndrome reported worldwide and summarize the associated genetic mutations of
the LIG4 gene. Compound heterozygous variants (c.597_600delTCAG/ c.342del) of LIG4 gene
were identified. The parents were found to be heterozygous carriers of one variant each.

Conclusion::
The in-silico analysis of identified variants explains their effect on the structure and
function of the LIG4 protein hence explaining the genotype-phenotype correlation.
Cognitive Behavioral Therapy for Symptom Preoccupation Among Patients With Premature Ventricular Contractions: Nonrandomized Pretest-Posttest Study
Authors: Liliequist Björn E , Särnholm Josefin , Skúladóttir Helga , Ólafsdóttir Eva , Ljótsson Brjánn , Braunschweig Frieder 
Published: April 2024

Background
Premature ventricular contractions (PVCs) are a common cardiac condition often associated with disabling symptoms and impaired quality of life (QoL). Current treatment strategies have limited effectiveness in reducing symptoms and restoring QoL for patients with PVCs. Symptom preoccupation, involving cardiac-related fear, hypervigilance, and avoidance behavior, is associated with disability in other cardiac conditions and can be effectively targeted by cognitive behavioral therapy (CBT).

Objective
The aim of this study was to evaluate the effect of a PVC-specific CBT protocol targeting symptom preoccupation in patients with symptomatic idiopathic PVCs.

Methods
Nineteen patients diagnosed with symptomatic idiopathic PVCs and symptom preoccupation underwent PVC-specific CBT over 10 weeks. The treatment was delivered by a licensed psychologist via videoconference in conjunction with online text-based information and homework assignments. The main components of the treatment were exposure to cardiac-related symptoms and reducing cardiac-related avoidance and control behavior. Self-rated measures were collected at baseline, post treatment, and at 3- and 6-month follow-ups. The primary outcome was PVC-specific QoL at posttreatment assessment measured with a PVC-adapted version of the Atrial Fibrillation Effects on Quality of Life questionnaire. Secondary measures included symptom preoccupation measured with the Cardiac Anxiety Questionnaire. PVC burden was evaluated with 5-day continuous electrocardiogram recordings at baseline, post treatment, and 6-month follow-up.

Results
We observed large improvements in PVC-specific QoL (Cohen d=1.62, P<.001) and symptom preoccupation (Cohen d=1.73, P<.001) post treatment. These results were sustained at the 3- and 6-month follow-ups. PVC burden, as measured with 5-day continuous electrocardiogram, remained unchanged throughout follow-up. However, self-reported PVC symptoms were significantly lower at posttreatment assessment and at both the 3- and 6-month follow-ups. Reduction in symptom preoccupation had a statistically significant mediating effect of the intervention on PVC-specific QoL in an explorative mediation analysis.

Conclusions
This uncontrolled pilot study shows preliminary promising results for PVC-specific CBT as a potentially effective treatment approach for patients with symptomatic idiopathic PVCs and symptom preoccupation. The substantial improvements in PVC-specific QoL and symptom preoccupation, along with the decreased self-reported PVC-related symptoms warrant further investigation in a larger randomized controlled trial.

Trial Registration
ClinicalTrials.gov NCT05087238; https://clinicaltrials.gov/study/NCT05087238
On subordination conditions for systems of minimal di erential operators
Authors: Limanskii D. V. , Malamud M. M. 
Published: April 2024

In this paper, we provide a review of results on apriori estimates for systems of minimal differential operators in the scale of spaces \(L^p(\Omega),\) where \(p\in[1,\infty].\) We present results on the characterization of elliptic and \(l\)-quasielliptic systems using apriori estimates in isotropic and anisotropic Sobolev spaces \(W_{p,0}^l(\mathbb
R^n),\)\(p\in[1,\infty].\) For a given set \(l=(l_1,\dots,l_n)\in\mathbb
N^n\) we prove criteria for the existence of \(l\)-quasielliptic and weakly coercive systems and indicate wide classes of weakly coercive in \(W_{p,0}^l(\mathbb
R^n),\) \(p\in[1,\infty],\) nonelliptic, and nonquasielliptic systems. In addition, we describe linear spaces of operators that are subordinate in the \(L^\infty(\mathbb R^n)\)-norm to the tensor product of two elliptic differential polynomials.
On discrete models of Boltzmann-type kinetic equations
Authors: Bobylev A. V. 
Published: April 2024

The known nonlinear kinetic equations, in particular, the wave kinetic equation and the quantum Nordheim–Uehling–Uhlenbeck equations are considered as a natural generalization of the classical spatially homogeneous Boltzmann equation. To this goal we introduce the general Boltzmann-type kinetic equation that depends on a function of four real variables \(F(x,y;
v,w)\). The function \(F\) is assumed to satisfy certain simple relations. The main properties of this kinetic equation are studied. It is shown that the above mentioned specific kinetic equations correspond to different polynomial forms of the function \(F\). Then the problem of discretization of the general Boltzmann-type kinetic equation is considered on the basis of ideas similar to those used for construction of discrete velocity models of the Boltzmann equation. The main attention is paid to discrete models of the wave kinetic equation. It is shown that such models have a monotone functional similarly to the Boltzmann \(H\)-function. The theorem of existence, uniqueness and convergence to equilibrium of solutions to the Cauchy problem with any positive initial conditions is formulated and discussed. The differences in long time behaviour between solutions of the wave kinetic equation and solutions of its discrete models are also briefly discussed.
Lower average estimate for the minimum modulus on circles foran entire function of genus zero
Authors: Popov A. Yu. , Sherstyukov V. B. 
Published: April 2024

The article was written based on the materials of the joint report of the authors, made by them at the Sixth International Conference “Functional spaces. Differential operators. Problems of mathematical education,” dedicated to the centenary of the birth of Corresponding Member of the Russian Academy of Sciences, Academician of the European Academy of Sciences L.D.Kudryavtsev. For an entire function represented by a canonical product of genus zero with positive roots, the following result is proved. For any \(\delta\in(0,1/3]\), the minimum modulus of such a function exceeds on average the maximum of its modulus raised to the power \(-1-\delta,\) on any segment whose end ratio is equal to \(\exp(
2/\delta).\) The main theorem is illustrated by two examples. The first of them shows that instead of the exponent \(-1-\delta\) it is impossible to take \(-1.\) The second example demonstrates the impossibility of replacing the value \(\exp(2/\delta)\) by the value\(28/(15\delta)\) in the theorem for small \(\delta.\)
Wacana Childfree dan Ekspektasi Netizen: Studi Kasus Gita Savitri dan Cinta Laura dalam Konteks Budaya Indonesia
Authors: Barakah Fadlan , Elanda Yelly , Evendi Azhari , Fitri Meila Riskia , Royandi Eva 
Published: April 2024

The phenomenon of childfree, or the choice not to have children, has garnered increasing attention in Indonesia, a country where religious and cultural norms strongly dictate childbearing as a duty. This study aims to examine how the lifestyle choice of being childfree is communicated and received within the Indonesian social context, through the discourse analysis of childfree narratives shared by two influencers, Gita Savitri and Cinta Laura, and the response from Indonesian netizens. Employing Foucault’s critical discourse analysis approach, this research explores the construction of discourse, power relations, and the dynamics of ideology within the discussion of childfree. The research methodology includes content analysis of social media and mass media related to the childfree statements of the two influencers and the reactions they receive. Findings reveal significant differences in the way Gita Savitri and Cinta Laura present their childfree choices and in the netizen responses, influenced by the extent to which their choices align with or challenge dominant social norms. The conclusion of this study underscores that the acceptance of childfree in Indonesia depends not only on the discourse content itself but also on how individuals interact with broader social and cultural structures.
Abstrak
Fenomena childfree, atau pilihan untuk tidak memiliki anak, mendapatkan perhatian yang meningkat di Indonesia, sebuah negara dengan kuatnya pengaruh norma agama dan budaya yang menganggap memiliki anak sebagai sebuah kewajiban. Penelitian ini bertujuan untuk mengkaji bagaimana childfree sebagai pilihan hidup dikomunikasikan dan diterima dalam konteks sosial Indonesia, melalui analisis wacana childfree yang disampaikan oleh dua influencer, Gita Savitri dan Cinta Laura, dan respons netizen Indonesia terhadapnya. Menggunakan pendekatan analisis wacana kritis Foucault, studi ini mengeksplorasi konstruksi wacana, relasi kekuasaan, dan dinamika ideologi dalam diskusi childfree. Metode penelitian melibatkan analisis konten media sosial dan media massa yang berkaitan dengan pernyataan childfree kedua influencer dan respons yang mereka terima. Hasil penelitian menunjukkan perbedaan signifikan dalam cara Gita Savitri dan Cinta Laura mempresentasikan pilihan childfree mereka dan perbedaan dalam respons netizen, yang dipengaruhi oleh sejauh mana pilihan mereka sejalan atau bertentangan dengan norma sosial dominan. Kesimpulan penelitian ini menekankan bahwa penerimaan childfree di Indonesia tidak hanya tergantung pada konten wacana itu sendiri tetapi juga pada bagaimana individu berinteraksi dengan struktur sosial dan budaya yang lebih luas.