bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Novel Efficient Bi-Objective Evolutionary Algorithm for Frequent and High Utility Itemsets Mining
Authors: Ma Li , Li Chongyang , Lu Hengyang , Fang Wei , Lin Jerry Chun-Wei 
Published: June 2024

Abstract

Mining frequent and high utility itemsets (FHUIs) from transaction database is an important task in data mining. In order to overcome the difficulties of parameter setting and huge search space in traditional algorithms for mining FHUIs, the task of mining FHUIs was modeled as a bi-objective problem and then solved by multi-objective evolutionary algorithms (MOEAs) in previous works. However, MOEAs may be inefficient when the number of transactions and items in the transaction database becomes large. To address this problem, we propose a novel efficient bi-objective evolutionary algorithm for mining FHUIs (NBOEA-FHUI). In NBOEA-FHUI, a novel initialization strategy is proposed, which takes the support, utility, and diversity of the initial population into account. The proposed initial strategy can make the initial population have relative high utility and support values with high population diversity. To improve the quality of the offspring, a method for estimating the support and utility value of itemsets and an offspring generation strategy are proposed in NBOEA-FHUI. The support and utility values of itemsets which are roughly proportional to their true values can be calculated by the estimation method with little computation. The proposed offspring generation strategy can generate better offspring based on the estimated support and utility value. Experimental results on several real datasets demonstrate that the proposed algorithm has better performance than the state-of-the-art MOEAs in terms of the convergence speed, search efficiency, and solution accuracy in the task of mining FHUIs.
Machine Learning for Groundwater Storage Prediction: Leveraging Climatic Variables
Authors: Md. Saleh , M. Rasel H. 
Published: June 2024

Abstract

Once abundant and readily available, groundwater (GW) is now dwindling at an alarming rate. This vital resource is under growing pressure from both natural and human-induced factors. Groundwater Level (GWL) is closely related to Groundwater Storage (GWS) thus the decline in GWL creates a shortage in GWS. This research developed a robust predictive model for GWS in Rajshahi district, Bangladesh, for the period 2001–2022 using six climatic variables, namely, Mean Temperature, Cloud Coverage, Humidity (percent), Solar Radiation, Sunshine, and Wind Speed. Three Machine Learning (ML)-based regression models- Random Forest (RF), Support Vector Machine (SVM), and Gradient Boosting Machine (GBM) were applied for this purpose. Results showed that the accuracy level was quite high while RF regression was plugged into the observed dataset (R2 = 0.80). Moreover, among the six climatic variables, cloud coverage, humidity, and wind speed contributed 87.4% altogether to predict the GWS. These findings offer valuable insights not only for understanding the GWS dynamics in Rajshahi district but also for informing sustainable management strategies. By providing decision-makers with a clear understanding of the key climatic drivers and their impact, this research empowers them to implement effective interventions and conservation measures to ensure the long-term availability of this critical resource.
Monitoring Long-term Cardiac Activity with Contactless Radio Frequency Signals
Authors: Chen Yan , Zhang Bin-Bin , Zhang Dongheng , Li Yadong , Lu Zhi , Chen Jinbo , Wang Haoyu , Zhou Fang , Pu Yu , Hu Yang , Ma Likun , Sun Qibin 
Published: June 2024

Abstract

Cardiovascular diseases claim over 10 million lives annually, highlighting the critical need for long-term monitoring and early detection of cardiac abnormalities. Existing techniques like electrocardiograms (ECG) and Holter are accurate but suffer from discomfort caused by body-attached electrodes. While wearable devices using photoplethysmography offer more convenience, they sacrifice accuracy and are susceptible to environmental interference. Here we present a radio frequency (RF)-based sensing system that monitors long-term heart rate variability (HRV) with clinical-grade accuracy. For the first time, our system successfully overcomes the orders-larger interference from respiration motion by overturning the conventional signal processing framework. By identifying previously undiscovered frequency ranges where heartbeat information predominates over other motions, we generate prominent heartbeat patterns with harmonics typically considered detrimental. Extensive evaluations, including a large-scale clinical setting involving 7,090 participants and a long-term daily scenario spanning two months, demonstrate that our system can monitor HRV and diagnose abnormalities with comparable performance to clinical-grade ECG-based systems. This RF-based HRV sensing system has the potential to support active self-assessment and revolutionize medical prevention with long-term and precise health monitoring.
Tax impacts on MNE investment: evidence for cross-border relocation
Authors: Hanappi Tibor , Whyman David 
Published: June 2024

Abstract

Multinational enterprises (MNEs) differ from other corporations—domestic groups or standalone entities—in various ways. Their organizational structures span large numbers of jurisdictions, which is likely to affect how they react to country-specific changes in taxation. We investigate MNE investment responses to taxation within and across a large number of countries using MNE entity- and group-level data. Our results show that MNE tax responsiveness is distinctively heterogenous within countries and that there are investment spillovers to and from countries that did not experience a tax change themselves, confirming the specific nature of MNE investment responses to taxation. Furthermore, it suggests that tax increases at host jurisdiction level may not lead to statistically and quantitatively significant investment responses at the MNE group level, while showing some evidence of positive cross-border tax effects on investment by entities in other jurisdictions within the same MNE group. This finding suggests that the well-document negative relationship between taxation and MNE investment within a host jurisdiction might partially mask the MNE rebalancing the location of its investment to other host jurisdictions in response to changes in cross-jurisdictional tax rate differentials rather than purely decreasing its investment globally.
Lived Experience of Comfort on Sexuality and Fertility for Survivors of Hematopoietic Stem Cell Transplants: Phenomenological Study
Authors: BACALHAU Lúcia , PONTÍFICE-SOUSA Patrícia 
Published: June 2024

Abstract

Purpose: To grasp the scope of sexuality and fertility within the lived experiences of comfort and discomfort among allogeneic stem cell transplant survivors.
Methods: We employed a qualitative approach through van Manen's phenomenology of practice. The phenomenon was revealed via phenomenological interviews, incorporating narratives and illustrative episodes that captured the lived experiences of 20 survivors. We gathered descriptions of these experiences from participants from July 2020 to May 2021. During our phenomenological reflection on these accounts, we adhered to stages like epoché, reduction, and vocative, as outlined by van Manen (1).
Results: The exploration of comfort within the realms of sexuality and fertility yielded several themes: desire and the relationship; immunosuppression as a limitation on sexual activit; the body does not correspond to desire; the future: fertility and the couple's relationship; the challenges of disclosure and intervention.
Conclusion: The findings indicate that survivors have long-term challenges with sexual expression and activity, stemming from the physical constraints of GVHD, perceptions of their immunosuppression, and the significance of their partnership, all of which translate into requirements for nursing care.
Implications for Cancer Survivors
Considering the experiences of these participants and the observed comfort linked to the sexuality of AHSCT survivors, we can contemplate the care practices and recognize sexuality as a field of action for nurses in this context to enhance comfort for these individuals.
Identification and validation of an invasion-related disease-free survival prognostic model for tongue squamous cell carcinoma
Authors: Fang Wei , Wan Di , Peng Yanhui , Yang Xiaoqin 
Published: June 2024

Abstract

Background:
Tongue squamous cell carcinoma (TSCC) a common malignant tumor type, with aggressive invasion and poor prognosis. To date, invasion-related gene expression signatures for the prognostic stratification of TSCC patients are unavailable in clinical practice. This study aimed to assess the impact of invasion-related genes on the prognosis of TSCC patients.
Methods:
We obtained the mRNA profiles and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases (TCGA-TSCC and GSE41116, respectively). The TSCC samples from the TCGA-TSCC cohort were randomly divided into TCGA training and TCGA test datasets at a 7:3 ratio. Next, a disease-free survival (DFS) prognostic risk model was established based on univariate and stepwise multivariate Cox regression analyses of TCGA training cohort. Moreover, prognostic genes were screened. Then, the model was evaluated and validated using the TCGA test and GSE41116 datasets. In addition, the prognostic genes were validated in the human TSCC cell line UM1 and the human oral keratinocyte (HOK) cell line using qRT‒PCR analysis.
Results:
Atotal of 70 candidate genes related to invasion were identified in TCGA-TSCC. DFS data were subsequently constructed, and 6 prognostic genes, HMGN2, MYL12B, ACTB, PPP1CA, PSMB9, and IFITM3, were identified. The TSCC samples were divided into high- and low-risk groups in the TCGA training, TCGA test, and GSE41116 cohorts, separately. In particular, the patients with TSCC in the low-risk group had longer disease-free survival (DFS) than those in the high-risk group. Furthermore, qRT‒PCR analysis confirmed that the expression levels of the 6 prognostic genes were significantly greater in the TSCC cell line UM1 than in the HOK cell line.
Conclusion:
This study identified new invasion-related target genes related to poor prognosis in TSCC patients, providing new insights into the underlying mechanisms of TSCC invasion.
Preparation of a novel Ag3PO4/Bi-MOF heterojunction photocatalyst for the degradation of organic pollutants under visible light irradiation
Authors: Ji Yufeng , Zou Congyang , Wang Yong , Zhou Zhuyou , Liu Menghe , Xu Ying , Liu Ruijie , Yang Mingjie 
Published: June 2024

Abstract

In this study, a novel photocatalyst composed of Ag3PO4 and Bi-MOF was synthesized via chemical precipitation at room temperature. The morphology, chemical composition, and molecular structure of the composite materials were characterized using SEM, XRD, FTIR, XPS, and various other analytical techniques. Photocatalytic activity of the samples was evaluated by degrading tetracycline hydrochloride and rhodamine B. The composite materials exhibited significantly enhanced photocatalytic activity compared to pure Bi-MOF and Ag3PO4, with APBM-1/1 performing the most effectively. The degradation rates of rhodamine B (RhB) and tetracycline hydrochloride (TCH) were 99% and 86.9% within 50 min and 30 min of light exposure, respectively. The possible mechanisms of photocatalytic degradation of pollutants were proposed by electron paramagnetic resonance (EPR) and capture experiments. The construction of a type-II heterojunction interface between Ag3PO4 and Bi-MOF accelerated the efficiency of the interfacial charge separation, which resulted in excellent photocatalytic activity.
Comparison of seaweed species composition and coverage of Sargassum and Myagropsis communities between artificial and natural reefs in Wakasa Bay, Japan
Authors: Matsui Akira , Kawamura Masakatsu , Nozawa Shigehiro , Takeyama Masatomo , Inoue Naoya 
Published: June 2024

Abstract

The threat of declining seaweed beds has been a concern around the world. Seagrass and seaweed (brown algae) beds are essential habitats supporting fisheries. However, approximately 22% of these habitats have been lost in Japan due to increased coastal landfill sites and ports. This study aims to rehabilitate the depletion of these habitats by constructing an artificial reef in Wakasa Bay, Japan, and monitoring brown algae (Sargassum and Myagropsis) succession in 2 years and 4 years after the construction was completed. In this study, we set up five sites on the artificial reef as a treatment area and one site on the natural reef as a control area and then identified the seaweed species composition of the Sargassum and Myagropsis communities and their coverage on each reef using underwater visual observation by scuba divers. The seaweed coverage on the artificial reef was already close to that on the natural reef in 2 years after construction. However, the dominant species on the artificial reef was not conformable to that on the natural reef in 2 years after construction. The dominant species on the artificial reef changed to S. horneri/S. confusum in 2 years after construction and M. myagroides in 4 years after construction. On the other hand, the dominant species on the natural reef changed to S. patens in 2 years after construction and M. myagroides in 4 years after construction. That is, the species composition on the artificial reef was close to that on the natural reef in 4 years after construction. Thus, the recovery of species composition takes longer than that of seaweed coverage on the artificial reef.
Properties of particle board and briquette from Lantana camara: A path to Adaptive Management
Authors: Ramkumar V. R. , Thanigai K. , Ram Ritesh Kumar , Murali G. , Prakash V. , Gautam Veer Singh , murthy Narasimha , Ranjan Manish 
Published: June 2024

Abstract

This study explores the potential of Lantana camara (LC), a weed eradicated from forest and non-forest areas, for developing particle boards and value-added products. The study was conducted in four stages; the initial stage involved an examination of the anatomical characteristics of Lantana sticks to assess their industrial suitability. In the second stage, the study focused on investigating the physical and mechanical properties of Lantana sticks. In the third stage, particle boards with a thickness of 19 mm were manufactured, employing urea-formaldehyde as a binder. A comprehensive evaluation was carried out to assess various characteristics of the board, including modulus of elasticity, modulus of rupture, thickness swelling, water absorption, density, internal bond strength, and screw withdrawal. Additionally, a comparative study was undertaken to assess the variability and performance of particle boards made from wood (Melia dubia). In the final stage, the study investigated the development of briquettes from LC. A thorough analysis of fuel properties was conducted, including calorific value, proximate and elemental analysis, ash elemental analysis, density, and energy density of LC biomass. LC exhibits a composition characterized by 25% lignin and 65% cellulose. Additionally, the cellular characteristics of LC, including the number of cells per ray and the cell frequency, were observed to be 12.5 and 4.6/mm, respectively, resembling those of Melia dubia. Moreover, both LC (shrub) and Melia dubia (hardwood) demonstrated comparable basic densities, falling within the range of approximately 410–550 kg/m³ for LC and 481–501 kg/m³ for Melia dubia.
Research and Application of Adaptive Projection Map Matching Algorithm under the Background of Complex Roads
Authors: fu xiaoxue , cheng hongtao , chen yijin 
Published: June 2024

Abstract

To address the problems of easy volatility, empty matching, incorrect matching, and low matching accuracy, an adaptive projection map matching algorithm is proposed based on existing map matching algorithms for intersecting urban roads. First, the method of setting the distance threshold was used to eliminate abnormal location points. Then, by comparison with the AutoNavi map, the missing data in the OpenStreetMap were filled. To reduce the matching time, the grid index was generated, and the impossible methods were filtered by the error circle. Second, the probabilities of the projection distance and direction were assigned, and the corresponding weight coefficients were adjusted adaptively. Finally, the probabilities of the candidate methods were calculated by considering both the projection distance and direction, which helped to determine the actual road and improve the matching accuracy. At the same time, real-time driving data from Changzhou taxi vehicles were used for experimental verification. The results show that the adaptive projection map matching algorithm can increase the matching accuracy by approximately 4% compared with other existing matching algorithms and shorten the single-point matching time by approximately 1.5 ms, which realizes accurate map matching under complex intersecting methods.
Virtual screening, XGBoost based QSAR modelling, Molecular Docking and Molecular Dynamics Simulation approach to discover a new inhibitor targeting ErbB1 Protein
Authors: Bouchama Fateh , Kraim Khairedine , Brahimi Mohammed , Saihi Youcef , Mezghiche Karima , Nacereddine Abdelmalek Khorief , Djerourou Abdelhafidh , Taha Mutasem Omar 
Published: June 2024

Abstract

ErbB1 is a protein found on certain types of human cells that binds to a substance called epidermal growth factor (EGFR). The ErbB1 protein is involved in cell signalling pathways that control cell division, proliferation, and survival. Sometimes, mutations in the EGFR gene cause ErbB1 proteins to be made in higher-than-normal amounts on some types of cancer cells. The aim of this study is using the virtual screening based on ligand and structure drug design using respectively QSAR, molecular docking & molecular dynamics simulations approaches to identify novel antitumor small molecules. Therefore, the QSAR model was developed and validated using XGBOOST as a learning algorithm classifier trained on 5215 compounds. The validated model is used for screening of more than 80k natural products downloaded and prepared from the ZINC database to offer us only 36 as potent predicted inhibitors against ErbB1. The selected active compounds were docked against the target represented by the PDB ID: 3POZ. The obtained top five scoring compounds were compared to the reference ligand TAK285, to the Lapatinib and the Erlotinib drugs, after this phase their stability into the ErbB1 protein binding site has been validated using the molecular dynamics simulation.
A Novel Method for Maintaining Low and Constant Salinity in Ice During Desalination of Binary Mixtures Using Directional Solidification
Authors: Kumar Virkeshwar , Kumar Narendra , Sarawagi Radhika 
Published: June 2024

Abstract

Water scarcity is a global issue worsened by population growth, climate change, and industry. Freezing-based desalination shows potential with lower energy needs and less environmental impact. However, current freezing methods produce ice with inconsistent salt levels, and new solutions are needed. This paper proposes a novel method inspired by directional solidification principles to achieve uniform low salinity in ice formation. This study investigates the efficacy of directional solidification techniques for desalination, contrasting them with conventional top cooling methods. Three distinct setups were employed: Setup_1 utilized top cooling, while Setups 2 and 3 incorporated directional solidification akin to the Bridgman and Czochralski methods. The conventional approach often leads to non-uniform salinity distribution within ice structures due to complex convection phenomena, whereas directional solidification ensures consistent salinity throughout the ice volume. Experimental results demonstrate uniform salinity levels along the lengths of water solutions, measuring 0.34±0.04 wt% NaCl for 1.7 wt% NaCl water and 0.7±0.05 wt% NaCl for 3.4 wt% NaCl water. In multistaging desalination, this saline ice again melts and is further desalinized using the same leads to 0.1±0.05 wt% NaCl, which can be directly used for the drinking stage. Additionally, energy consumption analysis reveals directional solidification’s potential for significant energy savings, with around a 5% reduction observed compared to conventional methods for single-stage desalination. This study marks the initial exploration of desalination via directional solidification, suggesting avenues for further investigation, particularly concerning energy optimization through numerical simulations.
Targeted Treatment of Various Cancers using Radionuclide: Advancement and Prospective
Authors: Rajput Shivam , Malviya Rishabha , Srivastava Saurabh , Ahmad Irfan , Obaidur Rab Safia , Uniyal Prerna 
Published: June 2024

Abstract:
Radiopharmaceutical therapy is a novel targeted cancer treatment approach that is presently
being investigated and developed. Radiation is administered in radiopharmaceutical therapy by
selectively binding drugs to target cancer cells. Since most radioactive materials used in radiation
therapy emit photons, it is possible to monitor the movement of drugs in a non-invasive manner.
Compared to other systemic cancer treatments, Radiopharmaceutical therapy has shown effectiveness
with minimal adverse effects. Radiopharmaceutical treatment has shown a promising safety profile
and potential effectiveness against various types of cancers. Additionally, it has been successful in
distinguishing between cancerous and non-cancerous tissues. Radiopharmaceutical therapy offers
numerous advantages compared to other techniques. Radiopharmaceuticals are chemical substances
containing a radioactive isotope that can release radiation. This radiation can be identified and employed
for medical imaging or as a therapy for cancer. Several cancer treatment methods utilize radiopharmaceuticals,
such as radioimmunotherapy, radiolabeled peptides, radiolabeled small molecules,
bone-targeted radiopharmaceuticals, and others. This review aims to comprehensively analyze the
fundamental principles, recent advancements in clinical practice, and an in-depth understanding of
radiotherapy in cancer management.
Identifikasi Kerentanan Masyarakat Usia Produktif terhadap Penyebaran Vuirus Covid-19 di Kecamatan Mlati Kabupaten Sleman Daerah Istimewa Yogyakarta
Authors: Suherningtyas Ika Afianita 
Published: June 2024

Tujuan penelitian ini adalah mengidentifikasi hubungan kerentanan masyarakat usia produktif terhadap penyebaran virus covid-19 di (daerah peri- urban) Kecamatan Mlati. Kecamatan Mlati merupakan daerah peri-urban yang memiliki tingkat penularan covid-19 yang terus mengalami kenaikan kasus pada masyarakat usia produktif. Metode untuk mengetahui kerentanan yang terjadi dilakukan dengan deskriptif kuantitatif, pengambilan sampel dengan teknik stratified random sampling pada lima desa yang berada di Kecamatan Mlati menggunakan kuesioner. Pembobotan pada tiap parameter berupa aktivitas keseharian yang dilakukan oleh masyarakat dengan Analytical Hierarchy Process (AHP). Identifikasi kerentanan masyarakat usia produktif terhadap penyebaran virus covid-19 menggunakan sifat statistik korelasi chi square untuk mengetahui hubungan pada parameter. Berdasarkan uji statistik chi square parameter penelitian menunjukan lima parameter yang memiliki hubungan dengan parameter yang mempengaruhi antara lain mobilitas, riwayat penyakit, aktivitas organisasi, jenis pekerjaan dan pendapatan perbulan. Hasil penelitian menunjukan pada peta kerentanan pada Kecamatan Mlati paling tinggi berada di Desa Sinduadi, sedangkan Desa Sendangadi, Desa Tlogoadi, Desa Sumberadi dan Desa Tirtoadi memiliki kerentanan sedang.