bluuebunny/crossref_metadata_2025_split huggingface dataset:
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Authors: Luo Linhao , Yang Liqi , Ju Xin , Fang Yixiang , Zhang Xiaofeng , Liu Kai 
Published: December 2022

Abstract
Recently, reciprocal recommendation, especially for online dating applications, has attracted increasing research attention. Different from conventional recommendation problems, reciprocal recommendation aims to simultaneously best match users' mutual interests. Lots of existing methods adopt user attributes and consider the interactions between attributes to capture such interest. However, these methods failed to notice that the interactions might imply both users' preference and repulsiveness to other users, which contributes opposite to the mutual interest. Moreover, the interactions grow exponentially with user attributes, posing a great challenge for distinguishing them. To address aforementioned issues, in this paper, we propose a novel reinforced random convolutional network (RRCN) approach for reciprocal recommendation. In particular, we first separately consider the preferred and repulsive interactions, where their contributions can be modeled individually. Then, we technically propose a novel random CNN component that can randomly convolute non-adjacent features and learn representations of different interaction subsets. Furthermore, we design a reinforcement learning-based strategy to integrate with the random CNN component to select important interactions for recommendation, so that the number of attribute interactions can be reduced. We evaluate the proposed RRCN against a number of both baselines and state-of-the-art approaches on two real-world datasets, and the promising results have demonstrated the superiority of RRCN against the compared approaches in terms of a number of evaluation criteria.
AATF Inhibition Exerts Antiangiogenic Effects Against Human Hepatocellular Carcinoma
Authors: Suresh Diwakar , Srin Akshatha N. , Prashant Akila , Satish Suchitha , Vishwanath Prashant , Kumar Divya 
Published: December 2022

Abstract
Hepatocellular carcinoma (HCC), a highly fatal cancer with a mortality rate proportional to its incidence, continues to pose a global health care challenge. Angiogenesis is a key factor in the growth and metastasis of hepatic tumors and thus a potential therapeutic target in HCC. We previously showed that the apoptosis antagonizing transcription factor (AATF) affects tumor growth and metastasis in a mouse xenograft model. However, the regulatory role of AATF in tumor angiogenesis and its underlying mechanisms in HCC remain unknown. In the current study, we identified high levels of AATF in human HCC tissues compared to adjacent normal liver tissues, and the expression was found to be correlated with the stages and tumor grades of HCC. Inhibition of AATF in human HCC cells showed high levels of pigment epithelium-derived factor (PEDF) compared to controls as a resultant of reduced matric metalloproteinases activity. Conditioned media from AATF knockdown (KD) cells inhibited the proliferation, migration, and invasion of human umbilical vein endothelial cells as well as the vascularization of the chick chorioallantoic membrane. Furthermore, the VEGF-mediated downstream signaling pathway responsible for endothelial cell survival and vascular permeability, cell proliferation, and migration favoring angiogenesis was suppressed by AATF inhibition. Of note, PEDF inhibition by its respective antibody profoundly reversed the anti-angiogenic effect of AATF KD. In conclusion, our study demonstrates that inhibition of AATF suppresses angiogenesis in HCC via PEDF. Thus, a therapeutic strategy based on the inhibition of AATF to disrupt tumor angiogenesis may be a promising approach for HCC treatment.
Understanding the Mapping of Encode Data Through An Implementation of Quantum Topological Analysis
Authors: Vlasic Andrew , Pham Anh 
Published: December 2022

Abstract
Topological Data Analysis (TDA) is a well-established field derived to give insight into the geometric structure of real-world data. However, many methods in TDA are computationally intensive. The method that computes the respective Betti number has been shown to obtain a speed-up from translating the algorithm into a quantum circuit. The quantum circuit to calculate a particular Betti number requires a significant number of gates and, without a small record of data, is currently unable to be implemented on a NISQ-era processor. Given this NISQ-era restriction, a hybrid-method is proposed that calculates the Euclidean distance of the encoded data and computes the desired Betti number. This method is applied to a toy data set with different encoding techniques. The empirical results show the noise within the data is intensified with each encoding method as there is a clear change in the geometric structure of the original data, exhibiting information loss.
Sentiment analysis of It Companies- Features and Feelings Profiling, as well as Data Mining for Employee Input
Authors: Bose Amaresh , Khatoon Naghma 
Published: December 2022

Abstract

With so many businesses and organizations to choose from, making a final decision may be time-consuming and laborious. There are several metrics available for evaluating companies, but what's required is a metric that takes into account all of the aspects that contribute to employees' overall opinions of the company. To tackle this problem, our study concentrates on creating an aspect-sentiment-based analysis for corporations. To do this, we will rely on the honest feedback of our employees on these companies. We collected a large dataset of corporate reviews from the omnipresent ‘Glassdoor.com’ and used a novel ensemble approach to analyze the reviews' sentiment across a wide range of variables. In addition, we provide various insights from the dataset to aid customers in better comprehending their options and making educated choices when picking businesses.
Alignment of Human Aquaporin 4 and beta-amyloid proteins may indicate involvement of beta-amyloid in prevention of brain edema
Authors: Lehrer Steven , Rheinstein Peter 
Published: December 2022

Abstract
Background: Because brain edema has occurred during Alzheimer Disease (AD) clinical trials of most anti-amyloid antibodies, we hypothesize that beta-amyloid might be an important element in brain water homeostasis. Removing beta-amyloid could harm some AD patients. To investigate this idea, we analyzed structures of aquaporin-4 and beta-amyloid from the RCSB protein data bank. Aquaporins, a family of water channel proteins that have been found in animals, may provide an explanation for AD brain edema. Aquaporin-4 (AQP4), the most significant form of aquaporin in the central nervous system, mediates water homeostasis in healthy and pathological settings, such as severe brain injury. APOE isoform affects neurological prognosis following intracerebral hemorrhage. Poor functional outcome and higher cerebral edema are linked to APOE4.
Methods: We examined two RCSB Protein Data Bank molecules: 2D57. Double layered 2D crystal structure of Aquaporin-4; Solution structure of the first PDZ domain of beta-amyloid A4 precursor protein-binding family A, member 1. The protein structures were superimposed and aligned on PYMOL v 2.5.0 with the Super command, which super aligns two protein selections.
Results: Pymol performed 5 cycles of calculations on 29 aligned atoms of aquaporin-4 and beta-amyloid proteins, with a final root mean square deviation of atomic positions (RMSD) of 0.300 Å for 21 atoms. Lower values of RMSD indicate that alignment is validated with higher accuracy. RMSD values of 1 Å or less indicate very good alignment. The 21-atom alignment is excellent.
Conclusion: Alignments are a powerful way to compare related protein sequences. They can be used to record a variety of information about matched sequences, such as shared structural function or common evolutionary ancestry. Our analysis indicates that AQP4 and beta-amyloid may have shared functions, including maintenance of brain water homeostasis and prevention of brain edema. Asymptomatic vasogenic edema has been found in AD patients who have received no treatment at all. Therefore, focal, localized vasogenic edema may be part of the AD pathologic process. We conclude that beta-amyloid may protect against vasogenic brain edema. Removing beta-amyloid from AD patients may promote vasogenic brain edema and bleeding. Screening for AQP4 polymorphisms and APOE4 isoform, as well as ABCC8 polymorphisms and haptoglobin form, could identify patients at high risk of brain edema and hemorrhage before anti-amyloid treatment for AD is begun. The association of APOE4 with brain edema may be one reason for increased AD risk in carriers of APOE4. Further studies are warranted.
Enabling analysis of transcriptomic data related to Ageing Processes through the GTEx-Visualizer web portal
Authors: Guzzi Pietro Hiram , lomoio ugo , Veltri Pierangelo 
Published: December 2022

Abstract
Motivation: Studying ageing effects on molecules is considered an important new topic for life science. To perform such studies the need for data, models, algorithms, and tools arises to elucidate molecular mechanisms. Genotype-Tissue Expression (GTEx) is a web data portal containing transcriptomics data of patients, annotated with information related
to: (i) tissues, (ii) gender and (iii) human age. GTEx is the reference platform for ageing molecule studies. Nevertheless, it lacks howewer functionalities which would allow users to query data at the sex/age level, as well as tools for protein interaction studies. Users also need to download query results to proceed to further analysis such as retrieving the expression of a given gene on different age classes in many tissues.
Results: We design and implement GTExVisualizer, a web based platform to query and analyze GTEx data. GTExVisualizer contains a user interface able to: (i) graphically represent and study query results; (ii) analyse genes by means of sex/age expression patterns, also integrated with networks based modules; (iii) report results as plot based represen-
tation as well as (gene) networks. Finally, some basic statistics are also available.
Conclusion: The proposed framework can be considered a useful support for studying ageing/sex-related molecular processes based on the analysis of expression data.
Availability: GTExVisualizer is freely available and can be used from: http://gtexvisualizer.herokuapp.com
Robustness Analysis of Smart Manufacturing Information Systems
Authors: Zhu Jianhua , Zheng Yonghua 
Published: December 2022

Abstract
Purpose-Robustness plays a vital role in the operation of smart manufacturing information systems (SMISs). This article aims to establish a robust analysis theory, to explain how companies can perform robust analysis of information systems in real time during normal operations and perform robust control over unstable information systems.
Design/methodology/approach-(1) Using of Maximum Variance Unfolding (MVU) algorithm to fuse secondary index data into primary index data. (2) Using data-driven modeling to establish a robust evolutionary dynamics model of SMISs. (3) Using synergetic and self-organization theory to analyze the dynamic model of the robustness of SMISs. (4) Using dynamic programming and stability theory to conduct robust optimal control.
Findings-(1) The primary indicator data can maintain the characteristics of the secondary indicator data by using the improved MUV method; (2) Dynamic programming and stability theory used to conduct optimal robust control can give investment strategy to improve the robustness of SMISs; (3) The combination of the synergetic theorem and machine learning can quantitatively describe the SMISs, effectively solve the complex calculation problems caused by the increase of the variable dimension.
Originality-(1) this paper proposes for the first time the use of Maximum Variance Unfolding (MVU) algorithm to fuse secondary index data into primary index data;(2) For the first time combining complex system theory with machine learning and optimization theory to analyze the robustness of information systems.
Paper type Research paper-The construction of a model
Study on the retention effect of condensed water at different soil levels in exposed areas of Hoh Xil lake upon water recession
Authors: Li Bei , Liu Jing Tao , Shi Wan Peng , Zhang Yu Xi , Xie Fie , Zhou Bing 
Published: December 2022

Abstract
In order to investigate the absorption and retention characteristics of condensed water at different soil layers in the bare desertification area at the bottom of a receding lake in Hoh Xil, Qinghai Province, the characteristics of condensate variation, condensate formation time, condensate volume, and its absorption capacity were investigated in July 2021 using a micro-osmometer. The research area was the artificial water retention layer and bare ground of the exposed sandy bottom formed under the influence of the warming–wetting trend that occurs when water recedes in the salt lake area of the Qinghai-Tibet Plateau, as well as the two conditions of underpass and underseal. According to the results, the time of condensation generation during the observation period in the salt lake area of Hoh Xil begins at about 0:00 and ends at about 10:00. The artificial water retention layer had little influence on the condensation generation time, and the trend of the condensation rate is the same. The unidirectional condensation phenomenon of water vapor in the near-surface air at a depth range of 0–5 cm when an artificial water retention layer is applied is clearly superior to that of other layers; accordingly, its frequency of condensation phenomenon is also the highest. The amount of condensed soil water vapor from the lower part of the ground when an artificial water retention layer is applied at depth ranges of 0–5 cm, 5–10 cm, and 0–10 cm were 3.60, 6.39, and 10.27 times that of the near-surface air, respectively. The total amount of bidirectional condensed water under the condition of the artificial water retention layer at 0–10 cm was the largest. Conversely, the total amount of condensed water from the near-surface air at a depth range of 0–5 cm under the unidirectional condensation condition was the highest, being twice as great as the total amount of condensed water in other layers, which demonstrates the promoting effect that the artificial water retention layer has on the adsorption of water vapor in the near-surface air. Due to the existence of permafrost in the Qinghai-Tibet Plateau, the heat zero-flux plane in the area of the Salt Lake has a migration range of divergence of approximately 30 cm from the surface to the ground. An analogous humidity coefficient characterizes the retention effect of condensed water in certain areas, which serve to demonstrate how the artificial water retention layer distributed at a depth of 0–5 cm, regardless of bidirectional or unidirectional condensation, has the best capacity for adsorption. The results of this study provide a theoretical basis for condensate absorption capacity and vegetation restoration in the bare ecologically degraded areas of the lake bottom.
Therapeutic Applications of Fucoidans and their Potential to Act Against
COVID-19
Authors: Yadav Dhananjay , Song Minseok 
Published: December 2022

Abstract:
In this review article, we present the updated evidence of therapeutic applications of fucoidan (a seaweed polysaccharide) and its novel potential to treat infectious diseases such as coronavirus disease (COVID-19). Because of their many biological activities, seaweeds have been identified as a rich and useful source of bioactive chemicals. Sulfated polysaccharides from the sea are considered a source of physiologically active chemicals that might be used in medication development. Antitumor, antiviral, antioxidant, antibacterial, anticoagulant, and immune-inflammatory properties have all been described for these compounds. By interfering at various phases of viral infection, marine sulfated polysaccharide has a virucidal effect. As a result, it opens the door to the development of antiviral treatments. Virus entry into host cells is an initial process, avoiding this type of entry makes any precautionary measure effective. The inhibitory action of certain marine sulfated polysaccharides against coronavirus was tested, and fucoidan, iota-carrageenan, and sea cucumber sulfated polysaccharides all showed a substantial antiviral impact. Fucoidan is one of the useful sulfated polysaccharides that has been widely studied and explored in various research. There are different sources of fucoidans, which have been used in the treatment of viral infection. Additionally, we highlight the mechanism of action of fuocidan against COVID-19. Hence, we could suggest that COVID-19 might be prevented and treated using these sulfated polysaccharides. This review thus highlights ample evidence to support the hypothesis that a large number of drugs have been developed from powerful compounds isolated from marine seaweeds.
Bridging Integrator 3 (BIN3) Downregulation Predicts a Poor Prognosis in
Patients with Esophagus Carcinoma: A Study based on TCGA Data
Authors: Li Daohang , Deng Weiming , Huang Guozheng , Xiao Xin 
Published: December 2022

Background:
Bridging integrator 3 (BIN3) has been reported to play a key role in certain
tumors. Nevertheless, little is known about the role and clinical value of BIN3 in esophagus
carcinoma (ESCA). This study aimed to investigate the pathological and prognostic role of BIN3
in ESCA patients.

Methods:
Genes significantly correlated with the prognosis of ESCA patients were screened and
identified by comprehensive analysis of differentially expressed genes associated with overall survival
(OS), disease-specific survival (DSS) and progression-free interval (PFI) in ESCA. The expression
of BIN3, pathological features correlation and subgroup overall survival analysis were
performed using The Cancer Genome Atlas (TCGA) and GTEx databases. Moreover, the potential
signaling pathways in which BIN3 was involved were analyzed by GO-KEGG enrichment analysis
and gene set enrichment analysis (GSEA). Immune infiltrates correlation of BIN3 in ESCA was
performed by TIMER and ssGSEA. The influence of BIN3 on epithelial-mesenchymal transition
(EMT) was validated by western blot.

Results:
There were two differentially expressed genes related to the prognosis of ESCA patients,
which were identified from three gene clusters associated with overall survival (OS), diseasespecific
survival (DSS) and progression-free interval (PFI) in ESCA patients. The BIN3 mRNA
level was found to be significantly decreased in ESCA compared to normal tissues (p < 0.05). The
decreased expression of BIN3 in ESCA was significantly correlated with the clinical stage (p =
0.015), T stage (p < 0.05), histological type (p < 0.001), age (p < 0.05) and gender (p < 0.05).
ESCA patients with high BIN3 expression were observed to be correlated with T stage (T3 & T4),
age (＜＝60), gender (male), primary therapy outcome (PD) and columnar metaplasia (No) of favorable
OS. GO-KEGG enrichment analysis revealed that BIN3 was involved in endocytosis.
GSEA showed that several pathways were enriched in BIN3, such as O linked glycosylation of
mucins, PID HNF3B pathway, biocarta TFF pathway, WP pregnane X receptor pathway, reactome
regulation of beta cell development, WP Urea cycle and associated pathways and others. BIN3 was
significantly related to the infiltration level of T cells (p < 0.001), Tregs (p < 0.001), B cells (p <
0.001), NK cells (p < 0.001), and macrophage M2 (p < 0.001). In addition, BIN3 overexpression
inhibited N-cadherin expression and promoted E-cadherin expression in ESCA cell lines TE-1.

Conclusion:
These results suggest that BIN3 might be a potential prognostic biomarker in ESCA.
BIN3 functions as a tumor-suppressor role in ESCA, which is significantly associated with the
immune infiltration of ESCA.
Histone Deacetylase Inhibitors as Cognitive Enhancers and Modifiers of
Mood and Behavior
Authors: Pal Dilipkumar , Sahu Pooja , Mishra Abhishek K. , Hagelgans Albert , Sukocheva Olga 
Published: December 2022

Background:
Epigenetic regulation of gene signalling is one of the fundamental molecu-lar mechanisms for the generation and maintenance of cellular memory. Histone acetylation is a common epigenetic mechanism associated with increased gene transcription in the central nervous system (CNS). Stimulation of gene transcription by histone acetylation is important for the devel-opment of CNS-based long-term memory. Histone acetylation is a target for cognitive enhancement via the application of histone deacetylase (HDAC) inhibitors. The promising potential of HDAC in-hibitors has been observed in the treatment of several neurodevelopmental and neurodegenerative diseases.

Objective:
This study assessed the current state of HDAC inhibition as an approach to cognitive en-hancement and treatment of neurodegenerative diseases. Our analysis provides insights into the mechanism of action of HDAC inhibitors, associated epigenetic priming, and describes the thera-peutic success and potential complications after unsupervised use of the inhibitors.

Results and Conclusion:
Several chromatin-modifying enzymes play key roles in the regulation of cognitive processes. The importance of HDAC signaling in the brain is highlighted in this review. Recent advancements in the field of cognitive epigenetics are supported by the successful develop-ment of various HDAC inhibitors, demonstrating effective treatment of mood-associated disorders. The current review discusses the therapeutic potential of HDAC inhibition and observed complica-tions after mood and cognitive enhancement therapies.
Synthesis and Reactions of Thieno[2,3-c]quinolines from Arylaldehyde and
Arylamine Derivatives: A Review (Part VIII)
Authors: Abu-Hashem Ameen Ali , El-Gazzar Abdel-Rhman Barakat Ahmed , Hafez Hend Nagah , Abdelgawad Ahmed Awad Mohamed , Gouda Moustafa Ahmed 
Published: December 2022

Abstract:
In this review article, many thieno[2,3-c]quinoline derivatives are shown from many aspects,
including different preparation and processing methods, by the use of recent systems and high
technology. This review includes many chemical reactions that show the preparation of thieno[2,3-
c]quinoline derivatives from aryl-aldehyde, arylamine derivatives, and other chemical reagents. Several
synthesized thieno[2,3-c]quinoline derivatives are described in this review article, including: benzothieno[
2,3-c]quinoline; 1,2,4-triazolo[4,3-a]quinoline; benzothieno [2,3-c]tetrazolo[1,5-a]quinoline;
acetyl-amino-benzothieno[2,3-c]quinolinones; methoxythieno[3',2': 4,5]thieno[2,3-c]quinoline; amino-
thieno-thieno[2,3-c]quinoline-methaniminium chloride; thieno [3',2':4,5]thieno[2,3-c]quinolineimidazole;
thieno[2,3-c]phenanthroline; naphtho[1,2-f]thieno [3',2':4,5]thieno[2,3-
c][1,2,4]triazolo[4,3-a]quinoline; naphtho-tetrazolo[1,5-a]thieno[3',2':4,5] thieno[2,3-c]quinoline; and
benzo[4,5]thieno[2,3-c]quinoline-2-carbonitrile.