bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collaborative Capacity Planning Method of Wind-Photovoltaic-Storage Equipment in Microgrid Considering Different Energy Selling Income
Authors: Liang Lingyu , Zhao Xiangyu , Huang Wenqi , Sun Liming , Wang Ziyao , Chen Fengsheng 
Published: June 2023

Abstract
Microgrid is a promising small-scale power generation and distribution system. The selling price of wind turbine equipment (WT), photovoltaic generation equipment (PV), and battery energy storage equipment (BES) have a significant impact on the microgrid profits, which in turn affects the planning capacity of renewable energy. This paper proposes an optimal capacity planning method of wind-photovoltaic-storage equipment considering different energy selling income in microgrid. Stochastic characteristics of renewable energy (WT and PV), selling price of different energy, and timing coupling characteristic are considered in the proposed model. Besides, the configuration capacity of WT, PV and BES are modeled as discrete decision variables according to the type of specific equipment. And comprehensive life cycle cost (LCC) are considered as objective function. It can be found that the proposed collaborative capacity planning model is a mathematical programming problem with complex non-linear constraints and integer variables. To solve this problem, a cultural gray wolf optimization algorithm (CGWO) is applied in this paper. The proposed method's efficiency, convergence, superiority, and effectiveness are verified through a case study. Moreover, the impact of different new energy sales prices on capacity planning results is also revealed in the article.
Collaboration in Virtual Reality: Survey and Perspectives
Authors: Xanthidou Ourania Koutzampasopoulou , Aburumman Nadine , Ben-Abdallah Hanene 
Published: June 2023

Abstract
The application of Virtual Reality Environments (VRE) has been gaining momentum as a relatively new tool to assist with mitigating various difficulties including abstractness of concepts, lack of user engagement, perception of disconnection from other users. A VRE may offer both synchronous and asynchronous experiences, in addition to an immersive environment which promotes users’ engagement. Past research has shown that, in general, VRE do improve the experiences they try to enhance in many aspects of human activity. Terms like immersiveness and 3D representation of real life objects and environments are, as it appears, the two most obvious positive effects of Virtual Reality (VR) applications. However, despite these benefits it does not come without challenges. The main three concepts/challenges are the spatial design, the collaboration interaction between its members and the VRE, and the audio and video fidelity. Each of the three includes a number of other components that should be addressed for the total experience to be fine-tuned. These include mutual embodiment and shared perspectives, teleportation, gestural interaction, symmetric and asymmetric collaboration, physical and virtual co-location, inventory, and time and spatial synchronization. This paper comprises a survey of the literature, that identifies and explains the features introduced and the challenges involved with the VREs, and furthermore provides various interesting future research directions.
Development of Low-Threshold Detectors for Low-Mass Dark Matter Searches Using an N-Type Germanium Detector at 5.2 K
Authors: Bhattarai Sanjay , Mei Dongming , Raut Mathbar , Panth Rajendra , Kooi Kyler , Mei Hao , Wang Guojian 
Published: June 2023

Abstract
We investigated charge transport in an n-type germanium detector at 5.2 K to explore new technology for enhancing low-mass dark matter detection sensitivity. Calculations of dipole and cluster dipole state binding energies and electric field-dependent trapping cross-sections are critical to developing low-threshold detectors. The detector operates in two modes: depleting at 77K before cooling, or directly cooling to 5.2 K and applying different bias voltages. Results indicated lower binding energy of charge states in the second mode, at zero field and under an electric field, suggesting different charge states formed under different operating modes. Measured cluster dipole and dipole state binding energies at zero field were 7.88±0.64 meV and 8.37±0.75 meV, respectively, signifying high low-threshold potential for low-mass dark matter searches in the future.
SPCB-Net: A multi-scale skin cancer image identification network using self-interactive attention pyramid and cross-layer bilinear-trilinear pooling
Authors: Qian Xin , Han Qi , Wu Chen , Xu HongXiang , Hou Mingyang , Qiu Zicheng , Weng Tengfei , Zhou Baoping , Gao Xianqiang 
Published: June 2023

Abstract
Purpose Deep convolutional neural networks have made some progress in skin lesion classification and cancer diagnosis, but there are still some problems to be solved, such as the challenge of small inter-class feature differences and large intra-class feature differences, which might limit the classification performance of the model as high-level and low-level features are not properly utilized.
Methods This paper proposes a multi-scale skin cancer image identification network using self-interactive attention pyramid and cross-layer bilinear-trilinear pooling(SPCB-Net), which mainly consists of three proposed sub-modules that are the self-interacting attention pyramid (SAP), the across-layer bilinear-trilinear pooling operation and the global average algorithm(GAA).
Results The SPCB-Net is applied to two representative datasets of medical images in dermatology and histopathology (HAM10000 and NCT-CRC-HE-100K) to demonstrate the effectiveness of in the skin lesion classification. SPCB-Net（ResNet101） achieves 97.10% and 99.87% accuracy on HAM10000 and NCT-CRC-HE-100K respectively, which are both achieved performance improvements of 0.4% compared to the state-of-the-art models. In addition, a large number of experiments on HAM10000 show that the interactive attention pyramid(SPA) proposed in this paper is superior to the common attention module, and the method with a cross-layer bilinear-trilinear pooling is superior to the cross-layer trilinear pooling method.
Conclusion SPCB-Net is configured on Vgg19 and ResNet101 to evaluate the effectiveness of our proposed module. The experimental results show that SPCB-Net has shown state-of-the-art performance in the two field of dermatology and histopathology. Therefore, it is not only well qualified for the task of identifying skin cancer image but also has the potential to identify skin cancer by identifying pathological tissue.
Comparison of Vitamin D plasma level in women with or without endometriosis: a case-control study
Authors: Alizadeh Shima , Nasiri Dorna , Keikha Fatemeh , Khatami Farnaz , Panahi Zahra , Zamani Narges 
Published: June 2023

Abstract
Background:
Endometriosis is a debilitating gynecologic disease affecting millions of women worldwide. The potential role of vitamin D is of increasing interest. Previous studies have provoked controversy over the role of vitamin D and have shown a correlation between endometriosis and low vitamin D serum levels. This study aimed to assess and compare vitamin D serum levels between women with and without endometriosis.
Materials & Methods:
We studied 47 patients with endometriosis who visited the Infertility and Reproductive Clinic at our tertiary hospital and compared their vitamin D levels with healthy control subjects (47 women). The analysis was performed using Mann-Whitney and chi-square tests.
Results:
The median age of the women was 32/49, and SD was 5.42. The Mann-Whitney test showed no significant relationship between the mean levels of vitamin D and endometriosis diagnosis (P = 0.223). However, most of the patients with low level of vitamin D have endometriosis. This was confirmed by the chi-square test (odds ratio [OR] = 3.410; P = 0.008).
Conclusion:
In conclusion, these results indicate that women with a low level of vitamin D are statistically at higher risk of endometriosis and maybe there is a relationship between vitamin D and endometriosis so more studies are needed to determine the role of vitamin d in endometriosis
Healthy ageing in a multi-ethnic population: a descriptive analysis from the HELIUS study
Authors: Menassa Marilyne , Franco Oscar H. , Galenkamp Henrike , Born Bert-Jan H. van den , Vriend Esther M.C. , Vidal Pedro Marques , Stronks Karien , Charante Eric P. Moll Van 
Published: June 2023

Abstract
Background Ethnic health disparities have rarely been explored from a multidimensional ageing perspective. The objective of this study was to investigate these disparities in the Healthy Life in an Urban Setting (HELIUS) cohort using the Healthy Ageing Score (HAS).
Methods We computed the HAS using seven biopsychosocial domains from HELIUS baseline data (2011-2015), discerning between healthy, moderate, and poor ageing. We explored HAS differences by ethnicity, sex, and age group using Kruskal Wallis, Pearson Chi-squared, and multinomial logistic regression, adjusting for sociodemographic factors.
Results We included 17,091 participants (54.8% women, age (mean (SD)=44.5(12.8) years)) from South-Asian (14.8%) and African (20.5%) Surinamese, Dutch (24.3%), Moroccan (15.5%), Turkish (14.9%), and Ghanaian (10.1%) origins. The HAS (overall: poor (69.0%), moderate (24.8%), and healthy (6.2%)) differed between ethnicities (poorest in South-Asian Surinamese) and was poorer in women and post midlife (cut-off 45 years) across all ethnicities (all p≤0.0001). In the fully-adjusted models in men and women, poor ageing (vs. healthy ageing) was highest in the South-Asian Surinamese (aOR(95%CI)) (2.96(2.24-3.90) and 6.88(3.29-14.40), respectively) and the Turkish (2.80(2.11-3.73) and 7.10(3.31-15.24), respectively) groups compared to the Dutch, in the oldest age group (5.89(3.62-9.60) and 13.17(1.77-98.01), respectively) vs. the youngest, and in the divorced (1.48(1.10-2.01) and 2.83(1.39-5.77), respectively) vs. the married. Poor ageing was inversely associated with educational and occupational levels, mainly in men.
Conclusion Ethnic minorities displayed less healthy ageing than theDutch. This disparity appeared to be more pronounced in women, persisted before and after midlife, and was associated with sociodemographic factors that warrant further investigation.
Trust Management and Authentication Protocol for CWD- WPT Charging Stations
Authors: Roman Luis F. A. , Gondim Paulo R. L. 
Published: June 2023

Abstract
Electric vehicles (EV) have become an important alternative to reduce contamination and atmospheric pollution in the environment caused, in part, by cars, due to their emissions of carbon dioxide. The broad dissemination of EV's in society involves the solution of challenges related to EV charging and travel times, which still must be overcome. Some proposals have pointed to wireless charging while the EVs are driven (CWD) with wireless power transfer (WPT) technology through magnetic induction. However, there are some concerns over security and access control in the system due to the particularities of VANET-based scenario, which requires high performance for offering a safe and quality service. This paper introduces an authentication and access control protocol for a CWD-WPT charging system based on bilinear pairing and trust management. When compared to another one, the protocol shows good performance in terms of computational, energy, and communication costs. A comparative security analysis performed revealed an improvement by our proposal regarding security functionalities.
Streptococcus Pneumoniae-Associated Hemolytic Uremic Syndrome Canadian Immunization Monitoring Program ACTive National Pediatric Surveillance (1991-2019)
Authors: Lee Lauren Dagyung , Vadlamudi Nirma Khatri , Yu Katherine , Sadarangani Manish , Saux Nicole Le , Embree Joanne , Kellner James D. , Morris Shaun K. , Halperin Scott A. , Bettinger Julie A. 
Published: June 2023

Abstract
Background: Streptococcus pneumoniae-associated hemolytic uremic syndrome (SP-HUS) is an underreported cause of pediatric non-diarrheal HUS. This study describes the epidemiology of the largest Canadian case series of SP-HUS in comparison with non-HUS invasive pneumococcal disease (IPD).
Methods: The Canadian Immunization Monitoring Program, ACTive (IMPACT) is a national surveillance network for vaccine-preventable diseases. All confirmed IPD cases between 1991-2019 were included in the analysis. IPD cases with new HUS diagnoses were identified as SP-HUS cases, and the rest as non-HUS IPD cases.
Results: There were 30 (0.4%) cases of SP-HUS amongst 6,757 IPD cases. The median age of SP-HUS cases was 27.5 months, with no significant differences between SP-HUS and non-HUS cases in age or sex. S. pneumoniae serotypes 3 (30%) and 19A (26.7%) were more common in SP-HUS compared to non-HUS cases (P<0.0001). Pneumonia was more frequently observed in SP-HUS (67% vs. cases 26%; P<0.0001). All SP-HUS cases were hospitalized, compared with 71% non-HUS IPD cases (P=0.0004). SP-HUS cases had a longer median hospital length of stay (23.5 vs. 7 days; P<0.0001) and a higher proportion required ICU admission (70 vs 15.5%; P<0.0001). Moreover, ICU stays were longer in HUS cases compared with non-HUS cases (9 vs. 3 days; P<0.0001). All 30 SP-HUS patients survived while 3% of non-HUS cases died (P=0.33).
Conclusion: SP-HUS was usually seen in IPD cases with pneumonia and was most commonly caused by serotypes 3 and 19A. Mortality was rare, but ICU care with lengthy hospital stay was common.
MSDBPN : Multi-Column Smoothed Dilated Convolution Based Back Projection Network for Stereo Image Super-Resolution
Authors: Zhou Zihao , Wang Yongfang , Lian Junjie 
Published: June 2023

Abstract
Fully exploiting the parallax information of stereo images for super-resolution (SR) can obtain remarkable performance. The most challenging issue for stereo image SR is how to capture complementary correlation information between stereo image pair to accurately guide reconstruction. In this paper, we propose a multi-column smoothed dilated convolution based back projection network (MSDBPN) for stereo SR by explicitly learning and exploiting the parallax infor- mation. In particular, we incorporate adaptive weighted multi-column smoothed dilated convolutions to rapidly expand the receptive field while maintaining excellent inter-pixel correlation. Meanwhile, we reweight different column feature with adaptive learnable parameter to distinguish contributions. Furthermore, we employ iterative back projection mechanism to calculate projection error and implement self-correction to guide precise reconstruction. Extensive experiments on benchmark datasets demonstrate that our proposed method outperforms other state-of-the-art approaches on both quantitative and qualitative evaluations.
Anti-arthritic and anti-oxidant activities of Antrocaryon micraster seed extract and its fractions
Authors: Kumatia Emmanuel Kofi , Baffour Prince Kyei , Bolah Peter 
Published: June 2023

Abstract
Rheumatoid arthritis (RA) is an incurable debilitating disease which attack the joints and impair quality of life. Antrocaryon micraster is used to treat RA in African traditional medicine. However, its anti-arthritic activity has not been pharmacologically studied. This study therefore, reports the anti-arthritic and anti-oxidant activities of A. micraster seed extract and its fractions. The seed extract (ASE) was produced by soxhlet extraction and partitioned into petroleum ether (ASEP), ethyl acetate (ASEE) and aqueous (ASEA) fractions. The total polyphenolic content, DPPH anti-oxidant activity and in vitro arthritic activity using the protein denaturation assay were evaluated for ASE and its fractions. The arthritic activity of the crude extract (ASE) and its most effective fraction (ASEA), in the in vitro assay, were then evaluated against CFA-induced arthritis in rats. The polyphenolic constituent of ASE was estimated to be 13.00 ± 0.00 mg/100 mg of GAE. ASEA contained the highest quantity of polyphenolic constituents (10.76 ± 0.00 mg/100 mg of GAE) among the fractions of the extract. ASE and ASEA produced profound anti-oxidant activity (IC50 = 20.17 ± 1.291 and 19.35 ± 0.865 respectively) which were similar to that of ascorbic acid (IC50 = 17.35 ± 0.500) in the DPPH free radical scavenging assay. Furthermore, in vitro anti-arthritic activity of ASEA was 13.63 and 5.75 times higher than the anti-arthritic activity of the crude extract and diclofenac sodium respectively. In the CFA-induced arthritis assay, both ASE and ASEA significantly (P < 0.001) inhibited cachexia, paw edema, infiltration of inflammatory cells, pannus formation and synovium damage. These results indicates that A. micraster seed extract and its fractions possessed significant anti-arthritic activity via inhibition of oxidative stress, inflammation, protein denaturation, infiltration of inflammatory cells and synovium injury due to its constituents such as polyphenols and phytosterols.
The Plasmodesmal Protein Osger4 is Involved in Auxin Mediated Crown Root Development in Rice
Authors: Nguyen Thi Trang , Pham The Dan , Do Phat Tien , Vo Kieu Thi Xuan , Le Anh Thi Van , Tran Tuan Anh , Chu Hoang Ha , Jeon Jong-Seong , To Thi Mai Huong 
Published: June 2023

Abstract

In rice (Oryza sativa L.), the root system plays different essential roles, from water and nutrient uptake to responding to environmental signals. The mechanisms underlying root development are complex and involve many phytohormones, of which auxin is the most important. This study investigates the involvement of OsGER4, a putative Germin-like protein, in auxin-mediated crown root development in rice. The expression study of OsGER4 in the crl1 mutant confirms that OsGER4 is connected to the CRL1 signaling pathway- a master regulator for crown root development. Transgenic rice carrying the ProGER4::GUS reporter gene revealed that OsGER4 is mainly expressed in the initiation and emergence zone of the crown and lateral root, such as epidermal cell, vasculature, and primordial under auxin treatment condition. Moreover, fewer crown roots of osger4 knockout mutant lines than the wild-type under auxin treatment suggests that OsGER4 might function as a regulator limiting auxin flux to root growth regions under stress conditions. Besides, protein localization experiments confirmed that OsGER4 localizes to plasmodesmata, which are intercellular channels that could facilitate auxin transport. Our findings suggest that OsGER4 might play a substantial role in regulating plasmodesmata conformation to regulate auxin flow resulting in crown root developmental in rice under stress conditions.
Rancang Bangun Aplikasi Kawan Pencerita Berbasis Website Menggunakan Metode Prototype
Authors: Dirgantara Amanat , Prasetyo Novian Adi , Yuniati Trihastuti 
Published: June 2023

Kawan Pencerita Publisher adalah sebuah tempat usaha yang mewadahi karya-karya para penulis novel amatir untuk dikembangkan bahkan hingga diterbitkan. Berdiri dari tahun 2018 lalu Kawan Pencerita Publisher setiap tahunnya memiliki permasalahan pada bidang pemasaran, untuk mengatasi permasalahan tersebut maka Kawan Pencerita Publisher bergerak dimulai dari pembuatan website. Website merupakan kumpulan dari halaman-halaman situs yang terdiri dari domain atau subdomain, dan berbagai informasi penting lainnya tersedia dalam website, yang sangat memudahkan kita dalam mencari informasi penting. Berdasarkan uraian tersebut maka penelitian ini bertujuan untuk merancang dan membuat website Kawan Pencerita Publisher sebagai media pemasarannya karena saat ini penjualan masih terbatas hanya pada jejaring media sosial instagram saja. Dalam penerapanya website kawan pencerita ini menggunakan metode pengembagan perangkat lunak Prototype, pengujian sistem pada website yang digunakan dalam penelitian ini adalah Blackbox Testing, dimana pengujian ini bertujuan untuk mengetahui pakah fitur berjalan dengan baik. Dalam pengujian tersebut yang diuji oleh seluruh pekerja di KP Publisher yang berjumlah 11 orang didapatkan hasil yaitu sistem berfungsi 100% atau semua aspek fungsional yang dibutuhkan oleh KP Publisher dapat berjalan sesuai dengan perancangan dan kebutuhan sistem.
Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation
Authors: Humeniuk Stephan , Wan Yuan , Wang Lei 
Published: June 2023

Direct sampling from a Slater determinant is combined with an autoregressive deep neural network as a Jastrow factor into a fully autoregressive Slater-Jastrow ansatz for variational quantum Monte Carlo, which allows for uncorrelated sampling. The elimination of the autocorrelation time leads to a stochastic algorithm with provable cubic scaling (with a potentially large prefactor), i.e. the number of operations for producing an uncorrelated sample and for calculating the local energy scales like \mathcal{O}(N_s^3)𝒪(Ns3) with the number of orbitals N_sNs. The implementation is benchmarked on the two-dimensional t-Vt−V model of spinless fermions on the square lattice.
Molecular dynamic simulations of the desalination process through membrane technology: a review
Authors: Mohan Megha , Pramada S. K. 
Published: June 2023

AbstractMembrane technology is extensively used for water treatment including desalination to cope with the present water demands. The membrane performance can be analyzed and improved by various methods. A deep understanding of the molecular-level interaction occurring during membrane water treatment can be achieved by molecular dynamic simulations as it helps to develop a thorough knowledge of the systems and processes that occur in an experiment, which are not directly accessible. Through molecular dynamic simulation, a bridge between the experiment and theories can be formed. In this paper, a review of various molecular dynamic simulations that have been employed in the field of desalination using membrane technology is done. Molecular dynamic simulation of the desalination process has been grouped based on the effects of pressure, pore size, functional groups, salinity, electric field, and nanomaterials on the water flux and ion removal.
Evaluation of economic scenarios of water allocation using game theory
Authors: Jin Jiahui , Fang Xiaohong 
Published: June 2023

Abstract
Water allocation can be evaluated from various economic, environmental, food security, and climate aspects. This paper was conducted to develop an optimal water allocation strategy with an economic framework. Game theory has been used to determine the planning structure. A co-operative technique based on the core solution, Shepley value, and nucleolus solution has been incorporated into the decision-making system and the results of the proposed model have been calculated based on the long-term information of the downstream cropping pattern in the Zhanghe irrigation network, Hubei Province, China. Five components of rice planting including growth period, yield production, water consumption, selling price, and cultivated area have been evaluated to find the optimal scenarios. Results showed that the application of co-operative game theory can improve the economic index and water-saving potential in agriculture. Furthermore, the proposed simulation confirmed that the economic effects were important for understanding and planning for irrigation efficiency and water-saving potential.