bluuebunny/crossref_metadata_2025_split huggingface dataset:
KG-CFSA: A Comprehensive Approach for Analyzing Multi-source Heterogeneous Social Network Knowledge Graph
Authors: Akinnubi Abiola , Alassad Mustafa , Amure Ridwan , Agarwal Nitin 
Published: May 2024

Abstract

Analyzing opinions, extracting and modeling information, and performing network analysis in online information studies are challenging tasks with multi-source social network data. This complexity arises from the difficulty in harnessing data across various platforms and the absence of a unified data modeling approach. Although social network analysis has used a multiplex approach to study complex networks, no previous work has integrated data from multiple social networks, knowledge graph fusion, and contextual focal structure analysis (CFSA) for an online study. This study has developed a multi-source graph model and applied a Cartesian merge to model relations across multiple documents, entities, and topics. We improved the information modeled with third-party data sources such as WikiData and DiffBot. This approach has created a multiplex network instance for CFSA detection, incorporating topic-topic, entity-entity, and document-document models. We applied this method to a dataset from the Indo-Pacific region and identified 40,000 unique focal sets of influential topics, entities, and documents. The top sets discussed economics, elections, and policies such as the Indo-Pacific Economic Framework, Ekonomi baru, #NKRIHargaMati, #IndonesiaJaya, and the Xinjiang Supply Chain. Our model tracks information spread across multiple social media platforms and enhances the visibility of vital information using various relationships. The results underscore the effectiveness of KG-CFSA in contextualizing large-scale information from multiple sources.
Off-Policy Asymptotic and Adaptive Maximum Entropy Deep Reinforcement Learning
Authors: Zhang Huihui , Han Xu 
Published: May 2024

Abstract

Maximum entropy deep reinforcement learning has shown great promise in tackling various challenging continuous tasks. By incorporating the maximum entropy framework, the goal is to introduce more randomness in action selection and improve the training process. However, there exists a tradeoff between efficiency and stability, especially when dealing with large-scale tasks with high state and action dimensions.In certain situations, it becomes necessary to constrain the temperature hyperparameter of the maximum entropy term to prevent instability, which can hinder convergence. In this study, we propose an algorithm that combines adaptive and asymptotic maximum entropy with actor-critic random policies.Specifically, we introduce a state-dependent adaptive temperature to accelerate the training process and include an additional term involving asymptotic maximum entropy to ensure stable convergence. These components are combined with the selected critic value to serve as the target Q-value and the surrogate objective in the policy evaluation and improvement steps.The adaptive and asymptotic maximum entropy algorithm demonstrates robust adaptation to the efficiency-stability tradeoff, providing increased exploration and flexibility to address saddle point problems. We evaluate our method on various Gym tasks, and the results indicate that our proposed algorithms outperform several baselines in the domain of continuous control.
Decoding Reddit Memes Virality
Authors: Sah Tanmay , Jordan Kayden 
Published: May 2024

Abstract

Understanding the elements that contribute to a meme's virality is crucial due to the significant role memes play in digital culture and communication. This study analyzed 16,968 memes from Reddit, which are now available on the Open Science Framework (OSF). It aimed to identify predictors of virality, focusing on both textual and image-based characteristics. Our findings indicate that memes featuring multiple objects, humans, or animals, and those utilizing less saturated colors such as light gray and dark gray, tend to achieve higher virality. Additionally, smaller thumbnail dimensions and the avoidance of surprise facial expressions are associated with higher virality. Notably, memes posted between 12 pm and 6 pm UTC show a significant increase in virality. Combining these predictors enhances the Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of virality predictions, highlighting the complex interplay between content elements in meme dissemination.This research underscores the importance of a multifaceted approach in predicting meme virality and offers insights into effective social media strategies. Additionally, we provide an open-source codebase on GitHub to promote research transparency and reproducibility.
Magnetic and Microwave Absorption Properties of Barium Hexaferrites synthesized by sol-gel method with addition of PMMA in various ratios
Authors: Gökçe Serdar 
Published: May 2024

Abstract

The M-type barium hexaferrite (\(\text{B}\text{a}{\text{F}\text{e}}_{12}{\text{O}}_{19}\)) nanoparticles were synthesized by polymethylmethacrylate (PMMA) assisted sol-gel process. PMMA was used as a template at \(\text{P}\text{M}\text{M}\text{A}/\text{B}\text{a}{\text{F}\text{e}}_{12}{\text{O}}_{19}\) weight ratio of 20/80, 40/60, 60/40% in the synthesis. The X-Ray Diffraction (XRD) and scanning electron microscopy (SEM) have been used to determine the structural, compositional and morphological features of particles. DC magnetic properties have been measured by using electron spin resonance (ESR) spectrometer and vibrating sample magnetometry (VSM) at room temperature. The dielectric, magnetic and microwave properties were studied by reflection/transmission technique in the coaxial waveguide at the frequency range of 2–18 GHz. The results show that the nanorod nanoparticles are ~ 200 nm in length and ~ 40–50 nm in width for the sample with \(\text{P}\text{M}\text{M}\text{A}/\text{B}\text{a}{\text{F}\text{e}}_{12}{\text{O}}_{19}\) weight ratio of 20/80. The minimum reflection loss value of rod-shaped nanoparticles achieves ~ -50 dB with bandwidth of 2.25 GHz at -20 dB.
WITHDRAWN: Performance of Plastic Aggregate along with Steel Slag in the Concrete through the Mechanical Tests and Microstructural Analysis
Authors: Rani Kavita , SENTHIL KASILINGAM 
Published: May 2024

Abstract

The demand on the utilization of the industrial by-product increased in order to preserve the natural resources and create a sustainable environment for the future generation. Therefore, the present study is focused on the utilization of industrial by-product electric arc furnace slag (EAFS) as the replacement of cement and fine aggregates whereas the plastic aggregate (PA) were replaced with the coarse aggregate. The optimization of the mix design was performed by replacing the cementitious slag (SAC) upto 50%, whereas the slag as the replacement of fine aggregates (SAFA) upto 70%. Also, plastic aggregates (PACA) were replaced with coarse aggregates upto 50%. It is concluded that the 30% replacement of cementitious slag and fine slag aggregate found optimum whereas the same found to be 50% in case of coarse aggregate replacement with plastic aggregate. Further, the combined effect of mix with 30% cement, 50% fine aggregate along with 30% of PA was studied. The flexural strength of mix SCFPA found to be 5.5 MPa whereas the same found to be 5.17 MPa in the mix PACA3 and it shows that the cementitious slag and slag fine aggregate contribute marginally on the resistance under flexure. The tensile strength of combined mixes such as SCFA, SCPA, SFPA and SCFPA was found insignificant, whereas the compressive strength of SCPA mix was found as the worst performer. Further, SEM, XRD and EDS analysis were also conducted in order to study the microstructure of the different mixes. The CSH, ettringite and portlandite were majorly observed and the calcium silicate hydrate is an important compound for measuring the strength and rheological properties of concrete. The ettringite (3CaO•Al2 O3 •3CaSO4 •32H2 O) having a needle-like crystals structure plays an important role in the setting time, strength development and shrinkage of concrete, whereas the portlandite identified as a cubical smooth structure works as a bonding agent.
A Mendelian randomization study of the causal relationships between immune cells and colorectal cancer
Authors: He Weihua , He Lan , Deng Lan 
Published: May 2024

Abstract

Background: The incidence of colorectal cancer (CRC) is increasing steadily. This is corroborated by increasing evidence that establishes a connection between the regulation of immunocytes and the advancement of CRC. However, the exact underlying mechanisms remain unclear. Hence, this study aimed to elucidate the link between immune cells and vulnerability to CRC through the application of Mendelian randomization (MR) analysis.
Methods Existing genome-wide association studies (GWAS) have provided summary data on immune cells and CRC in European populations. The ebi-a-GCST90018808 cohort was designated the discovery cohort, while the finn-b-C3_COLORECTAL cohort was the validation cohort. Only single nucleotide polymorphisms (SNPs) that satisfied the following conditions were selected as instrumental variables (IVs): a p-value less than 1×10–5, a linkage disequilibrium coefficient (r2) less than 0.001, and a linkage disequilibrium region width of 10000 kb. The cornerstone analytical methodology used was inverse variance weighting (IVW), which was reinforced by the MR-Egger method to assess the causality of effects. Heterogeneity analysis was performed utilizing I2 and Cochran's Q tests. To assess pleiotropy, the MR-Egger method's intercept was utilized, complemented by sensitivity evaluation through a leave-one-out approach. The two datasets were combined for meta-analysis to further validate whether the two immune cell traits were consistent between the two cohorts.
Results In the discovery and validation cohorts, a causal association was found between CD25 expression on unswitched memory B cells and CD25++ CD45RA- CD4 not regulatory T cell absolute count, resulting in a decreased risk of CRC. Heterogeneity analysis indicated I2 < 50% and P >0.05 according to Cochran's Q test, suggesting no heterogeneity among the IVs. The intercept obtained from the MR‒Egger analysis showed no significant difference from zero, suggesting a negligible influence of horizontal pleiotropy on the IVs. A meta-analysis was conducted to amalgamate the aggregated data from both datasets, further corroborating the influence of the two immune cell traits in mitigating CRC risk.
Conclusion The results from MR analysis reveal that CD25 expression on unswitched memory B cells and CD25++ CD45RA- CD4 not regulatory T cell absolute count are intricately associated with a reduced risk of CRC.
Evaluation of the spatial equality of the medical service function from the perspective of the life circle：A case study of Chengdu City
Authors: Zhu ran , Rong Zi-qi , Wang Hai-li 
Published: May 2024

Abstract

Background
At a time when life is starting to return to normal following the global pandemic, the medical service function as a key component of public infrastructure in livable communities still have an undeniable importance. In practice, however, due to a heterogeneity in the distribution of medical facilities, a significant spatial imbalance can exist in urban and country regions. By integrating the life circle theory and complex system theory, we try to propose a new framework to fill this gap and explain the formation mechanism of the medical service function equality. Furthermore, the feasibility of the framework was verified by evaluating the spatial equality of medical services of the primary, secondary, tertiary and total medical service function in Chengdu City, China.
Methods
Based on Z-score method, a quantitative method was constructed to quantitative detect the spatial pattern of Chengdu’s medical services. This method can help to accurately identify the spatial equality of the medical service function, thereby facilitating further refined policy formulation to improve these functions.
Results
The results for accessibility within the life circle indicate that 97.69% of the population and 63.76% of metropolitan Chengdu enjoy total access to medical services, but this desirable accessibility gradually decreases around the central line of Chengdu and the central areas of other districts and counties. The multi-center hierarchical structure of level II, level III and the total function reflects the fact that accessibility to medical facilities in the main urban areas is better than that in the surrounding counties, and in the central urban areas of these surrounding counties are better than that in their peripheral areas. the spatial equality for the total function, level III, and level II exhibits a clear hierarchical structure, namely core-edge pattern. Urban construction is gradually spread from the center to the outside, which fundamentally determines the skeleton of the spatial pattern of medical service facilities in Chengdu.
Conclusions
Findings of this research contribute new theoretical and methodological insights into addressing the spatial equality of public service functions in complex regional and urban system.
Visualization of Bipartite Graphs in Limited Window Size
Authors: Efrat Alon , Evans William , Köck Kassian , Kobourov Stephen , Miller Jacob 
Published: May 2024

Abstract

Bipartite graphs are commonly used to visualize objects and their features. An object may possess several features and several objects may share a common feature.The standard visualization of bipartite graphs, with objects and features on two (say horizontal) parallel lines at integer coordinates and edges drawn as line segments, can often be difficult to work with. A common task in visualization of such graphs is to consider one object and all its features. This naturally defines a drawing window, defined as the smallest interval that contains the x-coordinates of the object and all its features. We show that if both objects and features can be reordered, minimizing the average window size is NP-hard. However, if the features are fixed, then we provide an efficient polynomial time algorithm for arranging the objects, so as to minimize the average window size. Finally, we introduce a different way of visualizing the bipartite graph, by placing the nodes of the two parts on two concentric circles. For this setting we also show NP-hardness for the general case and a polynomial time algorithm when the features are fixed.
From a Radiologist’s Eye: a Case Report of Actinomycetoma of the Foot With Comprehensive Review of Literature
Authors: A Ebinesh 
Published: May 2024

Abstract

Background:Tropical diseases comprise of an array of communicable and non-communicable diseases that prevail in the tropical belt. Madura foot, classified as a tropical disease by WHO, is a chronic granulomatous disease that predominantly involves the skin and subcutaneous tissue, commonly affecting the lower limbs. We present a case of actinomycetoma with extensive review of the existing literature, focusing on diagnostic imaging.Case presentation:A 36-year-old female from eastern India presented with a six-month history of right foot swelling and a discharging wound. She was unsuccessfully treated with multiple courses of antibiotics in local hospitals. Upon referral, radiological investigations were performed for further evaluation. USG showed infiltrative hypoechoic soft tissue with nodular lesions showing targetoid appearance. MRI revealed infiltrative soft tissue with variable sized nodular lesion showing characteristic ‘dot-in-circle' appearance, prompting the diagnosis of pedal mycetoma. Actinomycetoma was confirmed on biopsy.Conclusions:Pedal mycetoma presents significant diagnostic and therapeutic challenges owing to its insidious progression and delayed diagnosis. Radiological imaging, particularly MRI, plays a pivotal role in diagnosis and staging of the disease, enabling detailed evaluation of soft tissue and bone involvement. The ‘dot-in-circle' sign observed on imaging is pathognomic and aids in accurate diagnosis. Early diagnosis facilitated by diagnostic imaging warrants improved therapeutic outcomes.
Improving Privacy and Utility in Aggregate Data: A Hybrid Approach
Authors: Kofie Samuel Nartey , Min-Zhang Ivy , Chen Kai , Percy Wei 
Published: May 2024

Abstract

The increasing need to protect individual privacy in data releases has led to significant advancements in privacy-preserving technologies. Differential Privacy (DP) offers robust privacy guarantees but often at the expense of data utility. On the other hand, data pooling, while improving utility, lacks formal privacy assurances. Our study introduces a novel hybrid method, termed PoolDiv, which combines differential privacy with data pooling to enhance both privacy guarantees and data utility. Through extensive simulations and real data analysis, we assess the performance of synthetic datasets generated via traditional DP methods, data pooling, and our proposed PoolDiv method, demonstrating the advantages of our hybrid approach in maintaining data utility while ensuring privacy.
In-silico Studies, Design, and Synthesis of Pyrimidine-linked Benzothiazoles for its Anticonvulsant Potential
Authors: Kale Amol , Kakde Rajendra , Pawar Smita , Thombare Rutuja , Zope Dhanashree , Kakde Ishwar 
Published: May 2024

Background:
The objective of the study was to design and synthesize a series of N-(6-substituted-1,3-benzothiazole-
2-yl)-2-{[6-(3-substitutedphenyl)-5-cyano-2-sulfanylpyrimidine-4-yl)]amino}acetamide derivatives BPD (1-15) that
contains key pharmacophores required for anticonvulsant action

Methods:
The titled compounds (BPD 1-15) were synthesized by reacting 2-substituted-N-(6-chlorobenzo[d]thiazol2-yl)acetamide
with 4-amino-6-(4-substituted phenyl)-2-mercapto pyrimidine 5-carbonitrile in the presence of potassium carbonate
and dry acetone. The synthesized compounds BPD (1-15) were assessed in vivo by the maximum electric shock (MES)
test and the subcutaneous pentylenetetrazol (scPTZ) test in mice. The neurotoxicity test was performed by the rotarod test.
A molecular docking study of title compounds with a sodium channel receptor (PDB ID: 1BYY) was carried out using the
SP Docking protocol of the Glide module of the Maestro. Pharmacophore modeling was used to qualitatively identify the
chemical characteristics for ligand binding and their spatial configurations in the 3D space of the active site.

Result:
Among the studied compounds, BPD-15 and BPD-5 compounds showed significant action in both the MES and
scPTZ models, with no neurotoxicity. BPD-15 & BPD-5 were relatively safe in acute toxicity testing. Compounds BPD-15
and BPD-5 showed good dock scores of -6.434 and -6.191, respectively.

Conclusion:
Thus, the compounds BPD-15 and BPD-5 have shown a considerable affinity towards the sodium channel as
compared to the standard drug Riluzole. Compound BPD-14 showed good drug compatibility, and compounds BPD-1,
BPD-2, BPD-11, BPD-12, BPD-13, BPD-14, BPD-15 showed good ADME values
Recent Advances in Technologies for Removing Nanoparticles from Water
Authors: Liang Yankai , Shah Kinjal J. , Sun Yongjun 
Published: May 2024

Abstract::
Nanoparticles are widely used in manufacturing, daily life applications, and other fields
because of their unique properties. However, the nanoparticles that end up in surface water are difficult
to break down naturally and cause environmental hazards that cannot be ignored. In this paper,
the migration mode of nanoparticles in the environment was proposed, and the factors affecting the
removal efficiency of nanoparticles mainly include ionic strength, natural organic matter, surface
properties, etc. The common methods for removing nanoparticles mainly include coagulation precipitation
methods, activated sludge methods, membrane filtration methods, and adsorption methods. In
addition, new technologies such as photothermal removal and electro-adsorption have also been applied
to remove nanoparticles in water. In future research, combining the advantages of different
removal methods and using different methods interactively to remove nanoparticles in water could
become a new research direction.
Digital Phenotyping of Mental and Physical Conditions: Remote Monitoring of Patients Through RADAR-Base Platform
Authors: Rashid Zulqarnain , Folarin Amos A , Zhang Yuezhou , Ranjan Yatharth , Conde Pauline , Sankesara Heet , Sun Shaoxiong , Stewart Callum , Laiou Petroula , Dobson Richard J B 
Published: May 2024

Abstract

Background
The use of digital biomarkers through remote patient monitoring offers valuable and timely insights into a patient’s condition, including aspects such as disease progression and treatment response. This serves as a complementary resource to traditional health care settings leveraging mobile technology to improve scale and lower latency, cost, and burden.

Objective
Smartphones with embedded and connected sensors have immense potential for improving health care through various apps and mobile health (mHealth) platforms. This capability could enable the development of reliable digital biomarkers from long-term longitudinal data collected remotely from patients.

Methods
We built an open-source platform, RADAR-base, to support large-scale data collection in remote monitoring studies. RADAR-base is a modern remote data collection platform built around Confluent’s Apache Kafka to support scalability, extensibility, security, privacy, and quality of data. It provides support for study design and setup and active (eg, patient-reported outcome measures) and passive (eg, phone sensors, wearable devices, and Internet of Things) remote data collection capabilities with feature generation (eg, behavioral, environmental, and physiological markers). The back end enables secure data transmission and scalable solutions for data storage, management, and data access.

Results
The platform has been used to successfully collect longitudinal data for various cohorts in a number of disease areas including multiple sclerosis, depression, epilepsy, attention-deficit/hyperactivity disorder, Alzheimer disease, autism, and lung diseases. Digital biomarkers developed through collected data are providing useful insights into different diseases.

Conclusions
RADAR-base offers a contemporary, open-source solution driven by the community for remotely monitoring, collecting data, and digitally characterizing both physical and mental health conditions. Clinicians have the ability to enhance their insight through the use of digital biomarkers, enabling improved prevention, personalization, and early intervention in the context of disease management.
Analysis of Mental Workload on Sugar Production Mechanical Workers Using the Nasa-TLX Method
Authors: Zidan Muhammad Faqih , Apriani Ratna Agil , Basuki Demas Emirbuwono , Wibowo Latifah Fitri Nuraida , Mukarim Rifki Nurul 
Published: May 2024

Workload can be defined as the difference between a worker's ability and job demands. Based on observations that have been made, it is known that madukismo sugar companies get an increasing demand value in each season of production, so this causes an increase in the number of working hours that apply to the company, which has the potential to increase their mental work. This study investigated the mechanical mental workload of workers at Madukismo Sugar Company using the NASA-TLX method, a multidimensional assessment tool. The NASA-TLX method is a multidimensional assessment method that can measure the overall mental workload to determine the mental workload felt by each worker. The results indicate a very high mental workload in some operators and suggest the need for operational adjustments. The recommendations are additional manpower and improved ergonomic levels to reduce stress and increase productivity. Keywords: Mental Workload, NASA-TLX, Job Demands