bluuebunny/crossref_metadata_2025_split huggingface dataset:
BiMuF: A Bi-directional Recommender System with Multi-semantic Filter for Online Recruitment
Authors: Lai Pei-Yuan , Yang Zhe-Rui , Dai Qing-Yun , Liao De-Zhang , Wang Chang-Dong 
Published: June 2023

Abstract
Most existing recommendation research has been concentrated on unidirectional recommendation, i.e. only recommending items to users. However, the platform needs to achieve bi-directional recommendation in many real-world scenarios. For example, in an online recruitment scenario, the recommender system not only needs to recommend positions to candidates, but also recommend candidates to enterprises. In this paper, we develop a new bi-directional recommendation model for online recruitment termed BiMuF (Bi-directional recommendation with Multi-semantic Filter). In BiMuF, an encoder component is utilized to learn the text embeddings, a multi-semantic filter component is designed to capture important graph representation, and a graph learning component is designed to learn the graph embeddings. In addition, a multi-task learning framework is designed to achieve bi-directional recommendations. In the multi-task learning framework, we share text embeddings and graph embeddings to alleviate the problems of data sparsity, data asymmetry, and feature generalization in online recruitment. Extensive experiments in a real-world task show that BiMuF outperforms the state-of-the-art methods, verifying the effectiveness of the designs of our model.
Prefixes of bargraph paths
Authors: blecher aubrey , knopfmacher arnold 
Published: June 2023

Abstract
We extend the notion of bargraphs as first quadrant, semi-perimeter defined lattice paths to that of a bargraph prefix where we relax the bargraph defining parameters and allow the bargraph to extend into negative territory. A bargraph prefix is any initial section of a bargraph. Generating functions for the prefixes which separately track the number of up, down and horizontal steps are found. The asymptotics for the average height of the last prefix step in the different bargraph extensions is given.
2020 Mathematics Subject Classification. Primary: 05A15, 05A16.
Path Planning and Optimal Control for Autonomous Exit Parking
Authors: Yar-Ahmadi Mohammad , Rahmanei Hamid , Ghaffari Ali 
Published: June 2023

Abstract
The primary purpose of each autonomous exit parking system is to facilitate the process of exiting the vehicle, emphasizing the comfort and safety of driving in the absence of almost any human effort. In this paper, the problem of exit parking for autonomous vehicles is addressed. A nonlinear kinematic model is presented based on the geometric relationship of the vehicle velocities, and a linear time-varying discrete-time model of the vehicle is obtained for utilizing the optimal control strategy. The proposed path planning algorithm is based on the minimization of a geometric cost function. This algorithm works for ample space exit parking in Single-Maneuver and tight spaces in Multi-Maneuver exit parking. Finally, an optimal discrete-time linear quadratic control approach is hired to minimize a quadratic cost function. To evaluate the performance of the proposed algorithm, the control system is simulated by MATLAB/Simulink software. The results show that the optimal control strategy is well able to design and follow the desired path in each of the exit parking maneuvers.
Comparative study of evolutionary machine learning approaches to simulate the rheological characteristics of polybutylene succinate (PBS) utilized for fused deposition modeling (FDM)
Authors: Taylan Osman , Abdullah Turdimuhammad , Baik Shefaa , Yilmaz Mustafa T. , Alidrisi Hassan , Qurban Rayyan O. , Melaibari Ammar AbdulGhani , Memić Adnan 
Published: June 2023

Abstract

Polymer filament and its printability, which is strongly influenced by the rheological behavior, can represent a significant hurdle in translating fused deposition modeling (FDM) from the lab to the industrial or clinical settings. The aim of this study is to demonstrate the potential of machine learning (ML) approaches to speed up the development of polymer filaments for FDM. Four types of ML methods; artificial neural network, support vector regression, polynomial chaos expansion (PCE), and response surface model were used to predict the rheological behaivior of polybutylene succinate. In general, all four approaches presented significantly high correlation values with respect to the training and testing data stages. Remarkably, the PCE algorithm repeatedly provided the highest correlation for each response variable in both the training and testing stages. Noteworthy, variation differs between response variables rather than between algorithms. Taken together, these modeling approaches could be used to optimize filament extrusion processes.
Interfacial interactions controlling adsorption of metal cations on montmorillonite
Authors: Li Ke Jin , Kurniawan Alfin , Christidis Georgios E. , He Jia Yong , Zhou Chun Hui 
Published: June 2023

Abstract
Montmorillonite (Mt) is a ubiquitous swelling clay mineral and major component of soft rocks, sediments, and soils with an inherent capability to sorb metal cations. This unique feature renders Mt important for the enrichment and mobilization of environmentally important metal cations, retardation of heavy metals and radionuclide ions, the evolution of clay mineral itself, soils and sediments, and other geological processes. Understanding the interfacial interactions of Mt with metal cations at the molecular level is of fundamental importance in all these processes, but still remains elusive, due to the chemical and structural complexity of Mt surfaces and the diverse chemistries of metal cations. In this Review, we aim to provide the reader with a comprehensive overview of the adsorption modes of metal cations on basal and edge surfaces of Mt, local chemical environments of the cation binding sites, the driving forces for metal sorption, and factors influencing the dynamics of cation uptake onto Mt surfaces. Various surface complexation models [i.e., nonelectrostatic model (NEM), constant capacitance model (CCM), diffuse layer model (DLM), and triple-layer model (TLM)], advanced spectroscopic techniques (i.e., NEM, CCM, DLM, and TLM), and atomistic simulation methods (i.e., MD, DFT, and FPMD) have been used in conjunction with macroscopic adsorption experiments to gain detailed insights into the interfacial interactions of metal cations on Mt. Mt adsorbs metal cations via three independent pathways: (1) cation exchange; (2) surface complexation; and (3) nucleation and surface precipitation. The principal driving force for cation exchange is electrostatic interaction, while chemical bonding governs the two other mechanisms that depend on the basal and edge surface properties of Mt. The siloxane cavities on the tetrahedral basal plane exhibit the strongest adsorption sites for cation exchange and are greatly affected by the the degree of Al3+/Si4+ tetrahedral substitutions. At the amphoteric edge surfaces bearing hydroxyl groups, metal cations could form mono/multiden-tate surface complexes on Mt [010] and [110] edges. Ionic strength, pH, the presence of competing cations, temperature, and layer charge have been shown to affect the adsorption mechanisms and quantity of adsorbed cations. The updated information on the interfacial interactions of metal cations with Mt basal and edge surfaces presented in this review provides an improved understanding of the enrichment of metals, formation of metal ores, and natural biogeochemical cycles, as well as may promote technological and engineering applications of this important clay mineral in environmental remediation, geological repository, petroleum exploration and extraction, and extraterrestrial research.
Thermal and combined high-temperature and high-pressure behavior of a natural intermediate scapolite
Authors: Lotti Paolo , Gatta G. Diego , Gigli Lara , Krüger Hannes , Kahlenberg Volker , Meven Martin , Comboni Davide , Milani Sula , Merlini Marco , Liermann Hanns-Peter 
Published: June 2023

Abstract
A natural intermediate member of the scapolite solid solution {Me47; chemical formula: (Na1.86Ca1.86K0.23Fe0.01)(Al4.36Si7.64)O24[Cl0.48(CO3)0.48(SO4)0.01]}, with the unusual I4/m space group, has been studied at various temperatures and combined high-T and high-P by means of in situ single-crystal and powder X-ray diffraction, using both conventional and synchrotron X-ray sources. In addition, single-crystal neutron diffraction data were collected at ambient-T and 685 °C. A fit of the experimental V-T data with a thermal equation of state yielded a thermal expansion coefficient at ambient conditions: αV25°C = 1/V0·(∂V/∂T)P,25°C = 1.74(3)·10–5 K–1. A comparative analysis of the elastic behavior of scapolite based on this study and previous high-T XRD data suggests that a thorough re-investigation of the different members of the marialite-meionite solid solution is needed to fully understand the role of crystal chemistry on the thermal behavior of these complex nonbinary solid solutions. The experimental data obtained within the full temperature range of analysis at ambient pressure confirm that the investigated sample always preserves the I4/m space group, and possible implications on the metastability of I4/m intermediate scapolite are discussed. Neutron diffraction data show that no significant Si and Al rearrangement among the T sites occurs between 25 and 685 °C. The combined high-T and high-P data show that at 650 °C and between 10.30(5) and 10.71(5) GPa a phase transition toward a triclinic polymorph occurs, with a positive Clapeyron slope (i.e., dP/dT &gt; 0). A comprehensive description of the atomic-scale structure deformation mechanisms induced by temperature and/or pressure, including those leading to structural instability, is provided based on single-crystal structure refinements.
Test case simplification based on coupling metrics in software bug location
Authors: Hu Xiaohui 
Published: June 2023

Software test cases are one of the most critical aspects of software testing in the product development process. As software products are updated several times, the same test requirement may be covered by multiple test cases, so this aspect is often redundant, yet the approximate test case set has an impact on its error detection rate. This study proposes the idea of using redundant test cases in software error location, introduces a coupling metric, analyses its program slicing and establishes a second coverage criterion in order to balance the relationship between the reduced test suite and the false detection rate the test case set. The results show that the size of test set and the number of error detection by the Ruby On Rails (ROR) method used in this study are larger than those of other commonly used reduction algorithms. The test suite has the lowest error detection loss rate, with an average of 17.96 % across the six test case sets. The highest error detection capability of individual test cases was found in the reduced test set, with a mean value of 90.63 % in the test set. The method also has the highest average reduction efficiency of 91.05 %. Compared with other simplification methods, the research method has a better balance between the size and false detection rate of the reduced test suite and the advantages of simplification.
On the effect of green nonstructural materials on scour reduction downstream of grid dissipators
Authors: Daneshfaraz Rasoul , Rezaie Mehdi , Aminvash Ehsan , Süme Veli , Abraham John , Ghaderi Amir 
Published: June 2023

Abstract

In this study, a nonstructural and eco-friendly solution has been used to reduce scouring downstream of screens. Upstream of the screen are stilling basins protected against scouring, but downstream locations are subjected to flow scouring. One of the challenges that the current research brings with it is the process of dispersing nanomaterials. In this research, to achieve its goals, three beds of channels with sedimentary materials, sedimentary materials plus clay, as well as sedimentary materials with a combination of clay and montmorillonite nanoclay have been used. The experimental results show the positive effect of clay and nanoclay on scour depth reduction downstream of the screens. The best performance occurs with the clay and montmorillonite clay mixture. The positive effect of clay and montmorillonite nanoclay mixture for scour length reduction is observed, and by utilizing this mixture, the length of scouring has decreased 33%. Furthermore, by adding clay and montmorillonite nanoclay mixture, the scour depth is reduced up to 39 and 46%, respectively. Utilizing clay and montmorillonite nanoclay mixture has a positive effect on scouring control. It could be very useful for cases such as rivers where bed protection with concrete is not possible.
Enhancement of adsorptive removal efficiency of an anionic dye from aqueous solutions using carboxylic acid-modified mulberry leaves: Artificial neural network modeling, isotherm, and kinetics evaluation
Authors: Duran Celal , Ozeken Sengul Tugba , Camoglu Aslihan Yilmaz , Ozdes Duygu 
Published: June 2023

Abstract

Natural mulberry leaves and carboxylic acid-modified mulberry (Morus alba L.) leaves were used for the first time to scrutinize the effects of modification on the retention efficiency of an anionic dye (Remazol Brilliant Blue R (RBBR)) from aqueous solutions to suggest an economical and promising adsorbent for the treatment of dye-contaminated water. The characterization of the adsorbents was accomplished through common techniques including SEM, FTIR, and pHpzc determination. Several parameters studied in batch experiments pointed out that the initial pH of 2.0 and the contact time of 240 min were optimum conditions for all the developed RBBR uptake processes. An artificial neural network (ANN) model was applied to formulate a forecast model for the uptake efficiency of RBBR. The experimental data were assessed by different kinetic and isotherm models to explain the mechanism of the developed processes in more detail. Maximum monolayer adsorption capacities of natural mulberry leaves and acetic acid-, citric acid-, and oxalic acid-modified mulberry leaves were determined as 64.5, 95.2, 84.8, and 91.7 mg g−1, respectively, by the Langmuir isotherm model. These results demonstrated that the modification with carboxylic acids significantly increases the anionic dye adsorption capacity of the mulberry leaves.
Groundwater quality analysis using different water quality indices in the hard rock aquifer region in semi-arid environment
Authors: Dimple  , Singh Pradeep Kumar , Kothari Mahesh , Yadav Kamal Kishore , Bhakar Sita Ram 
Published: June 2023

AbstractThe present study aimed to assess the groundwater quality in the hard rock aquifer system of the Nand Samand catchment for irrigation use by employing distinct water quality indices (sodium adsorption ratio, per cent sodium, electrical conductivity, residual sodium carbonate, soluble sodium per cent, Kelly's ratio, and permeability index) and also, using graphical illustration techniques (United States Salinity Laboratory (USSL) diagram, Piper, Gibbs, Wilcox, and Chadha diagram, Rajasthan, India. Groundwater samples were collected in two seasons, i.e., pre-monsoon and post-monsoon seasons (for the years 2019 and 2020). Ninety-five samples were collected and analyzed to assess overall groundwater quality for irrigation use. The USSL diagram indicated that the maximum groundwater samples were classified under categories C3S1 and C4S1 during the pre-monsoon season, indicating groundwater suitable for irrigation. The major facies observed in groundwater are mixed Ca–Mg–Cl, CaHCO3, and Ca–Mg–Cl type. Gibbs's diagram depicts that the maximum groundwater samples belonged to the evaporation–crystallization zone, which raises salinity by raising sodium and chloride concerning the increase of total dissolved solids. The results showed that the majority of the samples are suitable for irrigation, and the suitability improves during the post-monsoon season.
Evaluation of the effect of the feeding regime on the removal of metals and pathogens in microalgae–bacterial systems
Authors: Farias Sarah Lacerda , Ruas Graziele , Serejo Mayara Leite , Boncz Marc Árpád 
Published: June 2023

Abstract

Microalgae–bacteria systems are used for the treatment of effluents, using a technology that has stood out with excellent results, as reported in the literature. However, investigating these systems in more depth can improve our understanding of the removal mechanisms for a wide range of existing and emerging pollutants and help improve the guidelines for design and operation, in order to improve the treatment efficiency as well as biomass productivity. This work studied the impact of the feeding regime on the removal of metals and pathogens from primary domestic wastewater in high rate algal ponds (HRAPs). For this, one reactor was fed continuously (HRAP1) while two reactors were fed in semi-continuous mode, during 12 h day−1 (HRAP2) and 0.1 h day−1 (HRAP3). Although removal efficiencies of 82 ± 5% for Mn and 90% for E. coli were reached in the semi-continuously fed reactors, there was no significant difference between the conditions studied. On the other hand, for biomass productivity, the semi-continuous feeding regime was more advantageous with a growth of ≈ 22 mg L−1 day−1.
Inflammatory Progression in Patients Undergoing Extracorporeal
Membrane Oxygenation
Authors: Yao Yan’er , Kang Huiyuan , Cheng Ye , Su Xin , Wang Bin 
Published: June 2023

Abstract:
Extracorporeal membrane oxygenation (ECMO) is identified as a novel
therapeutic strategy that offers short-term support to the metabolism of the heart and
lungs in humans. Recently, the clinical centers, which provide ECMO has increased
rapidly worldwide. The indications for the use of ECMO in daily clinical practice were
broadened dynamically. However, even with the widespread adoption of ECMO, it still
remains significant morbidity and mortality, and the underlying mechanisms are still not
elucidated. Notably, one of the vital complications during ECMO was proposed as the
inflammatory progression within the extracorporeal circulation. via the development of
inflammatory response, patients with ECMO may further suffer from systemic
inflammatory response syndrome (SIRS), posing serious risks to human health.
Recently, growing evidence confirmed that through exposure of blood into the ECMO
circuit could lead to the stimulation of the immune system which also facilitated the
inflammatory response and systemic impaired. In the current review, the pathological
development of inflammatory progression in patients with ECMO is well-listed.
Furthermore, the relationship between immune-related activation and the development
of inflammation is also summarized, which may further help us to decide the therapeutic
strategies in daily clinical practice.
Preparation and In vitro Evaluation of Folated Pluronic F87/TPGS
Co-modified Liposomes for Targeted Delivery of Curcumin
Authors: Li Wenjuan , Xiong Xiangyuan , Gong Yanchun , Li Ziling 
Published: June 2023

Background:
Using targeted liposomes to encapsulate and deliver drugs has become a
hotspot in biomedical research. Folated Pluronic F87/D-α-tocopheryl polyethylene glycol 1000 succinate
(TPGS) co-modified liposomes (FA-F87/TPGS-Lps) were fabricated for curcumin delivery, and
intracellular targeting of liposomal curcumin was investigated.

Methods:
FA-F87 was synthesized and its structural characterization was conducted through dehydration
condensation. Then, cur-FA-F87/TPGS-Lps were prepared via thin film dispersion method combined
with DHPM technique, and their physicochemical properties and cytotoxicity were determined.
Finally, the intracellular distribution of cur-FA-F87/TPGS-Lps was investigated using MCF-7 cells.

Results:
Incorporation of TPGS in liposomes reduced their particle size, but increased the negative
charge of the liposomes as well as their storage stability, and the encapsulation efficiency of curcumin
was improved. While, modification of liposomes with FA increased their particle size, and had no impact
on the encapsulation efficiency of curcumin in liposomes. Among all the liposomes (cur-F87-Lps,
cur-FA-F87-Lps, cur-FA-F87/TPGS-Lps and cur-F87/TPGS-Lps), cur-FA-F87/TPGS-Lps showed
highest cytotoxicity to MCF-7 cells. Moreover, cur-FA-F87/TPGS-Lps was found to deliver curcumin
into the cytoplasm of MCF-7 cells.

Conclusion:
Folate-Pluronic F87/TPGS co-modified liposomes provide a novel strategy for drug loading
and targeted delivery.
Exploring the Potential Molecular Mechanism of the Shugan Jieyu Capsule
in the Treatment of Depression through Network Pharmacology, Molecular
Docking, and Molecular Dynamics Simulation
Authors: Liu Zhiyao , Huang Hailiang , Yu Ying , Jia Yuqi , Li Lingling , Shi Xin , Wang Fangqi 
Published: June 2023

Background:
Shugan Jieyu Capsule (SJC) is a pure Chinese medicine compound prepared
with Hypericum perforatum and Acanthopanacis senticosi. SJC has been approved for the
clinical treatment of depression, but the mechanism of action is still unclear.

Objective:
Network pharmacology, molecular docking, and molecular dynamics simulation
(MDS) were applied in the present study to explore the potential mechanism of SJC in the treatment
of depression.

Methods:
TCMSP, BATMAN-TCM, and HERB databases were used, and related literature was reviewed to screen the effective active ingredients of Hypericum perforatum and Acanthopanacis Senticosi. TCMSP, BATMAN-TCM, HERB, and STITCH databases were used to predict the potential targets of effective active ingredients. GeneCards database, DisGeNET database, and GEO data set were used to obtain depression targets and clarify the intersection targets of SJC and depression. STRING database and Cytoscape software were used to build a protein-protein interaction (PPI) network of intersection targets and screen the core targets. The enrichment analysis on the intersection targets was conducted. Then the receiver operator characteristic (ROC) curve was constructed to verify the core targets. The pharmacokinetic characteristics of core active ingredients were predicted by SwissADME and pkCSM. Molecular docking was performed to verify the docking activity of the core active ingredients and core targets, and molecular dynamics simulations were performed to evaluate the accuracy of the docking complex.

Results:
We obtained 15 active ingredients and 308 potential drug targets with quercetin,
kaempferol, luteolin, and hyperforin as the core active ingredients. We obtained 3598 targets of
depression and 193 intersection targets of SJC and depression. A total of 9 core targets (AKT1,
TNF, IL6, IL1B, VEGFA, JUN, CASP3, MAPK3, PTGS2) were screened with Cytoscape 3.8.2
software. A total of 442 GO entries and 165 KEGG pathways (p <0.01) were obtained from the
enrichment analysis of the intersection targets, mainly enriched in IL-17, TNF, and MAPK signaling
pathways. The pharmacokinetic characteristics of the 4 core active ingredients indicated that
they could play a role in SJC antidepressants with fewer side effects. Molecular docking showed
that the 4 core active components could effectively bind to the 8 core targets (AKT1, TNF, IL6,
IL1B, VEGFA, JUN, CASP3, MAPK3, PTGS2), which were related to depression by the ROC
curve. MDS showed that the docking complex was stable.

Conclusion:
SJC may treat depression by using active ingredients such as quercetin, kaempferol, luteolin,
and hyperforin to regulate targets such as PTGS2 and CASP3 and signaling pathways such as IL-17, TNF,
and MAPK, and participate in immune inflammation, oxidative stress, apoptosis, neurogenesis, etc.