bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Bin Size Index Method for Statistical Analysis of Multimodal Datasets from Materials Characterization
Authors: Jiang Tao , Luo Shengmin , Li Yucheng , Wu Yongkang , He Li , Zhang Guoping 
Published: January 2023

Abstract
This paper presents a normalized standard error-based statistical data binning method, termed “bin size index” (BSI), which yields an optimized, objective bin size for constructing a rational histogram to facilitate subsequent deconvolution of multimodal datasets from materials characterization and hence the determination of the underlying probability density functions. Totally 10 datasets, including 4 normally-distributed synthetic ones, 3 normally-distributed ones on the elasticity of rocks obtained by statistical nanoindentation, and 3 lognormally-distributed ones on the particle size distributions of flocculated clay suspensions, were used to illustrate the BSI’s concepts and algorithms. While results from the synthetic datasets prove the method’s accuracy and effectiveness, analyses of other real datasets from materials characterization and measurement further demonstrate its rationale, performance, and applicability to practical problems. The BSI method also enables determination of the number of modes via the comparative evaluation of the errors returned from different trial bin sizes. The accuracy and performance of the BSI method are further compared with other widely used binning methods, and the former yields the highest BSI and smallest normalized standard error. The advantages and disadvantages of the new method are also discussed.
A Novel Hybrid Multi-Verse Optimizer with Sine Cosine Algorithm for Global Optimization
Authors: PHAM VU HONG SON , DANG NGHIEP TRINH NGUYEN 
Published: January 2023

Abstract
MVO (multi-verse optimizer) and SCA (sine cosine algorithm) are stochastic optimization algorithms used in many scientific fields. SCA is a simple optimization algorithm that can exploit the search area and smoothly shift from exploration to exploitation. The SCA's undetermined search area exploitation mechanism results in simple local optimization. Moreover, MVO provides good exploration of the search area through the mechanisms of roulette wheel selection through white and black hole tunnels. SCA and MVO both fail to balance the exploration and exploitation mechanisms of the search area; furthermore, MVO is limited in its exploitation of the search area. This paper provides a hybrid algorithm (hMVO) between MVO and SCA to optimize the exploration and exploitation of the search area based on the advantages of each algorithm. Twenty-three test functions were used to evaluate the algorithm's optimality. The results indicate that the hMVO is competitive with the MVO, SCA, ant lion optimization (ALO), and the dragonfly algorithm (DA); this algorithm can also be applied to solve the discrete time–cost trade-off problem, demonstrating its stability and potential for global optimization.
CD16 CAR-T cells Enhance Antitumor Activity of CpG ODN-Loaded Nanoparticle-Adjuvanted Tumor Antigen-Derived Vaccine Via ADCC Approach
Authors: Zhang Xiaofei , Hu Qin , He Xuesong , Cui Xinyue , Liang Zhaoyan , Wang Li , Deng Xiongwei , Zhang Ze , Sheng Wang , Han Xiaodong D. 
Published: January 2023

Abstract
Background: Combinatorial immunotherapy strategies for enhancing the responsiveness of immune system have shown great promise for cancer therapy. Engineered nanoformulation incorporated toll-like receptor (TLR) 9 agonist CpG ODN has shown more positive results in suppressing tumor growth and can significantly enhance other immunotherapy activity with combinatorial effects due to the innate and adaptive immunostimulatory effects of CpG.
Results: In the present work, protamine sulfate (PS) and carboxymethyl β-glucan (CMG) were used as nanomaterials to form nanoparticles through a self-assembly approach for CpG ODN encapsulation to generate CpG ODN-loaded nano-adjuvant (CNPs), which was subsequently mixed with the mixture of mouse melanoma-derived antigens of tumor cell lysates (TCL) and neoantigens to develop vaccine for anti-tumor immunotherapy. The obtained results showed that CNPs was able to effectively deliver CpG ODN into murine bone marrow-derived dendritic cells (DC) in vitro, and remarkably stimulate the maturation of DC cells with proinflammatory cytokine secretion. In addition, in vivo analysis showed that CNPs enhanced anti-tumor activity of PD1 antibody and CNPs-adjuvanted vaccine based on the mixture antigens of melanoma TCL and melanoma-specific neoantigen could not only induce anti-melanoma cellular immune responses, but also elicit melanoma specific humoral immune responses, which significantly inhibited xenograft tumor growth. Furthermore, CD16 CAR-T cells were generated by expressing CD16-CAR in CD3+CD8+ murine T cells.
Conclusion: Our results eventually showed that anti-melanoma antibodies induced by CNPs-adjuvanted TCL vaccines were able to collaborate with CD16-CAR-T cells to generate an enhanced targeted anti-tumor effects through ADCC (antibody dependent cell cytotoxicity) approach. CD16 CAR-T cells has thus a great potential to be an universal promising strategy targeting on solid tumor synergistic immunotherapy via co-operation with TCL-based vaccine.
Efficient Distributed Dynamic Power Allocation and Beam-Forming In Underlay Cognitive Radio Networks
Authors: S PRABHAVATHI , v Saminadan 
Published: January 2023

Abstract
This paper explores an energy efficient spectrum allocation to unlicensed cognitive users with licensed primary users by a novel Distributed Dynamic Power Allocation (DDPA) and beam forming strategy in the multi user downlink Multiple Input Multiple Output (MIMO) underlay cognitive radio network with multi-objective constraints. Here the primary goal is to maximize total cognitive users' spectrum and energy efficiency while maintaining the intrusion power limit on primary networks under pre-defined thresholds with improved Quality of Communication (QoC). We proposed our resource allocation algorithm using dynamic optimization with enhanced reliability. The evaluation of the proposed system's performance of optimal approach is accessed and simulated with the Power Based Pricing Algorithm (PBPA) and Fractional Transmit Power Algorithm (FTPA).
Evaluation of organ dose using size-specific dose estimation (SSDE) and related cancer risk of chest CT scan during the COVID-19 pandemic
Authors: Robatjazi Mostafa , Moayed Mahdis , Baghani Hamid Reza , Molazadeh Mikaeil , Shomoossi Nematullah 
Published: January 2023

Abstract
This study aimed to estimate the individual patient’s lung and breast dose using the SSDE method as well as the effective dose in patients who underwent chest CT scans during the COVID-19 pandemic. The cancer risk incidence was estimated using excess relative risk (ERR), excess absolute risk (EAR), and lifetime attributable risk (LAR) models of biological effects of ionizing radiation report VII (BEIR-VII). The information of about 570 patients who underwent CT scans for COVID-19 screening was used for this study. Using the header of the CT images in a python script, SSDE and effective dose were calculated for each patient. The SSDE obtained by water equivalent effective diameter (wSSDE) was considered as lung and breast dose, and applied in organ-specific cancer risk estimation. The mean value of wSSDE for females (13.26 mGy) was a bit higher than the wSSDE value for males (13.08 mGy) but it was not statistically significant (P-value = 0.41). There was no significant difference in the calculated EAR, and ERR for lung cancer between males and females at the attained age of 5, and 30 years after exposure (P-value = 0.47, 0.46 respectively). There was no significant difference between lung cancer LAR values for females and males (0.48). The results also showed a decrease in the LAR values for both lung and breast cancers by increasing the exposure age. By considering the ALARA (as low as reasonably achievable) principle, the medical staff and the public should take the benefits of CT imaging in the detection of such infections. Besides, imaging medical physicists and CT scan experts have to optimize the imaging protocols and balance the image quality for detecting abnormalities versus the radiation dose based on the ALARA principle.
Mixed modeling of the effect of pharmaceutical pollution on the metamorphosis of amphibians from incomplete trajectory data
Authors: Ibrahimi Eliana , Miri Fundime , Porreca Annamaria , Aliko Valbona 
Published: January 2023

Abstract
In this paper, we aim to evaluate the potential of mixed models in assessing the impact of ibuprofen, fluoxetine, and a mix of them, on the Gosner stage development of Bufo bufo tadpoles, using incomplete trajectory data. We consider the mixed effects models as a good choice to deal with missing data, the within-subject correlations over time, and the feasibility to model time as a continuous covariate. We fitted several models with different random and fixed effects structures and compared them using the Likelihood Ratio (LR) test and Akaike Information Criteria (AIC). Influential analysis and multiple imputation are also performed to check the stability of the results. Mixed-effects models successfully modeled the Gosner stage incomplete longitudinal trajectories. Based on all fitted models, a significant difference in the evolution of the Gosner stage is observed between the group treated with a mix of pharmaceuticals and the other three groups (i.e., ibuprofen, fluoxetine, control).
A comparative analysis of the bacterial community structure of freshwater lakes located in the outer Himalayan Region of India
Authors: Panwar Abhaya Shikhar , Rana Babita , Sharma Sandhya , Rawat Nivedita , Khulbe Kapil , Singh Deepak , Joshi Gopal Krishna 
Published: January 2023

Abstract
Bacteria are one of the most abundant domains of life that are capable of surviving in different environments including the fresh water habitats like river, streams, lakes etc. Many fresh water lakes located in the outer Himalayan region within Indian territory are the important source of water for residents for various domestic and agricultural purposes. There is a cluster of such lakes located in the lower Himalayan region in the Kumaun area of Uttarakhand state in India that includes lakes like Nainital, Bhimtal, Naukuchiatal, Sattal and Garurtal. These lakes are the sources of potable water for local population and their presence have also led to the development of these sites into famous tourist spots. Since the increased human intervention is fastly changing the natural ecosystem of these lakes, the study of their microbial population is very important not only to define the level of anthropogenic disturbances but also to draw ecological inferences in terms of biogeochemical cycles in such environments. The present work represents the first report to provide a comprehensive insight into the bacterial community composition of the above mentioned 5 freshwater lakes through next generation sequencing targeting V3-V4 region of bacterial 16S rRNA gene. This investigation highlights the abundance of different bacterial genera in these lakes as well as their relation with the anthropogenic activities. The presence of gut bacteria like Prevotella, Clostridium, Treponema indicate the contamination of fecal discharge in lake water and questions their potability in untreated form.
A Clustering of Castles: Multi-scalar Architectural Types to Examine Fortified Elite Residences within a House Societies Model
Authors: Kirk Scott D. , Sternberg Evan , Thompson Amy E. , O’Donnell Lexi , Machen Kristina , Kolb Michael , Boone James 
Published: January 2023

Abstract
Castles have certain universal, strategic functions embedded in both their architecture and their placement upon the landscape. These materialized functions allow the castle to: (1) serve as control points along important arteries of commerce; (2) provide protection for local communities; and (3) act as monumental territorial markers symbolic of social rivalries and inter-group competition. This paper uses a variation of the House Societies Model (HSM), in conjunction with statistical analyses, to explore the most basic relationships between society, architecture, and landscape within a cross-cultural framework, emphasizing functionality and behavioral practices in castle placement and design. Using a dataset of medieval European castles (c. A.D. 500–1500), Early Modern fortresses from colonial contexts (A.D. 1500–1900), and castle-like structures from around the world, we demonstrate how various iterations of “the castle” statistically categorize by function and their relationship to local topography rather than its regional or cultural contexts. These results suggest that the social roles castles fit cross-cultural patterns that must be more fully explored.
A Combined use of Hydraulic and Hydrological Model to Characterise Channel Hydro-Geomorphology of a Tropical River Basin of West Bengal, India
Authors: Nag Swetasree , Karmakar Sayak , Roy Malabika Biswas , Roy Pankaj Kumar 
Published: January 2023

Abstract
The present research work is intended to portray the changing nature of channel hydro-geomorphological properties from upstream to downstream of the Mayurakshi River located in a plateau fringe region of Jharkhand and West Bengal. An intensive field investigation has been done on 14 different cross-sectional sites to measure some important geomorphic parameters like channel depth, width, bank height, hydraulic radius, wetted perimeter, etc. during the post monsoon season of 2021. For more accurate locational information, a Post Processed Kinematic Survey (PPK) using Differential Global Positioning System (DGPS) survey and a Current Meter instrument have been done to measure the river bed profile and channel velocity respectively. The objective of this paper is to compare the field observed discharge data with selected hydraulic and hydrological models and to determine the scientifically accepted and cost-effective way of estimating lean period flow amount within a section of a tropical river like the Mayurakshi River. Here, Manning’s equation and Kinematic Wave Parameter (KWP) - two important geomorphic-based methods have been executed for computing the discharge amount, where the study reveals Hydraulic method of Manning’s equation provide better result in discharge estimation compared to the hydrological method. Moreover, the role fragmented nature of the flow pattern, human intervention in active river bed areas by continuous sand mining activity and installation of dams and barrages restrict the free flow of the river causing inadequate discharge and higher channel in-efficiency throughout the studied reach.
Development and validation of a prognostic nomogram model for HER2-positive male breast cancer patients
Authors: Zhao Lifeng , Nong Shitang , Lin Ziren , Li Caixin , Huang Shiqing 
Published: January 2023

Abstract
The purpose of this study was to establish a nomogram model for predicting the prognosis of HER2- positive MBC patients.240HER2-positive MBC patients from 2004 to 2015 were retrieved from the surveillance, epidemiology and end results (SEER) database. All patients were divided randomly into training and validation cohorts according to a ratio of 6:4. Cox regression analyses were used to determine the prognostic factors associated with HER2-positive MBC patients. A clinical prediction model was constructed to predict the overall survival of these patients. The nomogram model was assessed by using receiver operating characteristics (ROC) curves, calibration plots and decision curve analysis (DCA). Cox regression analysis showed that T-stage, M-stage, surgery and chemotherapy were independent risk factors for the prognosis of HER2-positive MBC patients. The model could also accurately predict the Overall survival (OS) of the patients. In the training and validation cohorts, the C indexes of the OS nomograms were 0.746 and 0.754, respectively. Calibration curves and DCA verified the reliability and accuracy of the clinical prediction model. In conclusion,The predictive model constructed had good clinical utility and can help the clinician to select appropriate treatment strategies for HER2-positive MBC patients. Subject terms: Breast cancer, Nomogram
The Inverse Problem for the Euler-Poisson-Darboux Equation and Shifted k-Plane Transforms
Authors: Rubin Boris 
Published: January 2023

Abstract
The inverse problem for the Euler-Poisson-Darboux equation deals with reconstruction of the Cauchy data for this equation from incomplete information about its solution. In the present article, this problem is studied in connection with the injectivity of the shifted $k$-plane transform, which assigns to functions in $L^p(\mathbb {R}^n)$ their mean values over all k-planes at a fixed distance from the given $k$-planes. Several generalizations, including the Radon transform over strips of fixed width in $\mathbb {R}^2$ and a similar transform over tubes of fixed diameter in $\mathbb {R}^3$, are considered.
Quality of life and its associated factors among women diagnosed with pelvic organ prolapse in Gynecology outpatient department Southern Nations, Nationalities, and Peoples region public referral hospitals, Ethiopia
Authors: tefera zewdu , getaneh temesgen , Arega Mikyas , Temesgen Belsity , belay aynalem 
Published: January 2023

Abstract
Background
Pelvic organ prolapse is an important public health issue that influences millions of women’s lives; through limitations on physical, social, and sexual activities as well as psychological distress. However, there were no reports on the quality of life for women with pelvic organ prolapse in Ethiopia. Therefore this study amid to assess the magnitude of quality of life and its associated factors among women diagnosed with pelvic organ prolapse in Gynecology outpatient departments in Southern Nations, Nationalities, and Peoples region public referral hospitals; Ethiopia.
Method
An institutional-based cross-sectional study was conducted in Southern Nations, Nationalities, and Peoples region of public referral hospitals from May 1-July 4, 2022 among 419 diagnosed women with pelvic organ prolapse. A validated tool was used to collect the data. The collected data were entered into EPI data version 3.1 and analyzed using the Statistical Package for Social Sciences. Bivariable and multivariable logistic regression was computed. The p-value of < 0.05 was used to declare the final statistical significance.
Result
A total of 409 women with pelvic organ prolapse were included in the study, giving a response rate of 97.6%. The overall poor quality of life was 57.5%. Regarding the quality of life domains; personal relationships (73.6%), were highly affected, and sleep/energy (24.2%) was the least affected domain. Stage III/IV prolapse (AOR = 4.61, 95% CI: 2.51, 8.48), menopause (AOR = 3.59, 95% CI: 1.85, 6.97), unmarried women(widowed, divorced) (AOR = 3.81, 95% CI: 2.02, 7.19), low-income level (AOR = 7.48, 95% CI: 3.67, 15.24), and longer duration of prolapse (AOR = 8.8, 95% CI: 4.81, 16.11), were significantly associated with poor quality of life.
Conclusion
More than half of women with pelvic organ prolapse had a poor quality of life. Stage III/IV prolapse, longer duration of prolapse, low-income level, menopause women, and unmarried women are statistically significant factors for the quality of life of women with POP. Therefore, the Ethiopian Ministry of health with its stakeholders should develop an early detection and treatment strategy, and financial support for women with pelvic organ prolapse.
A multiple regression based method for indirect compensation of HRG temperature error
Authors: Li Xinsan , Li Can , Shen Qiang , Wang Lixin , Li Shuanzhu 
Published: January 2023

Abstract
In order to improve the measuring accuracy of the Hemispherical Resonator Gyro under variable temperature, aiming at the problem of "external temperature is unavailable and internal temperature is unmeasurable," a multiple regression based method is proposed for compensating temperature error in the gyro. The relationship between the internal temperature and the resonant frequency of the gyro is analyzed theoretically. According to a constant temperature experiment, a linear relationship between them is derived based on the least square method. The analysis of a temperature-rising experiment shows that the correlation of the gyro output with the internal temperature is much higher than that with the external temperature. Therefore, taking the resonant frequency as an independent variable, a multiple regression model is established for compensating the temperature error. The compensation effect of the model is verified by temperature-rising and temperature-dropping experiments, which show that the output sequence before compensation is not stable, while it is stable after compensation. After compensation, the drift of the gyro decreases by 62.76% and 48.48%, respectively, and its measuring accuracy becomes equivalent to that at the constant temperature. The experimental results verify the feasibility and effectiveness of the model developed for indirect compensation of temperature error.
Analysis of Clinical Characteristics, Treatment Patterns, and Outcome of Patients with Bilateral Testicular Germ Cell Tumors
Authors: Azik Hoffman , Omri Nativ , Kamil Malshy , Miki Haifler , Shay Golan , Roy Mano , Yuval Freifeld , Barak Rosenzweig , Ben Shalom , Yariv Stabholz , Reuven Ben David , Gilad Amiel E 
Published: January 2023

Abstract
Introduction: Bilateral testicular germ cell tumor (BGCT) is a rare disease that is considered to be more aggressive than unilateral germ cell tumors (GCT). Among BGCT, a synchronous disease is more aggressive than the metachronous presentation and results in lower CSS. Hence, our study aimed to perform a comparative analysis between unilateral testicular GCT, bilateral synchronous GCT, and bilateral metachronous GCT, aiming to verify the possibility that BGCT is a more aggressive disease form that may require more aggressive management.
Material and methods: In our multicenter retrospective study we reviewed medical records of 40 patients with BGCT (24 metachronous and 16 synchronous). Clinical characteristics, pathological features of the primary and secondary tumors, adjuvant treatments (chemotherapy and radiotherapy) and sperm quality were evaluated as well as cancer-specific survival and overall survival. A cohort of 40 patients with unilateral GCT were used to determine risk factors for developing BGCT.
Results: Patients with BGCT were slightly younger compared to those with unilateral GCT and had more advanced disease. Despite similar T-stage distribution between the two groups, nodal involvement was nearly 2-fold more frequent in patients with bilateral disease (42% vs 22%, p=0.056). additionally, although similar histological subtypes distribution at presentation among the two groups, the synchronous disease was more aggressive. This biological difference was evident by a higher rate of local T-stage (OR=3.4), higher proportions of patients with elevated serum BHCG levels, and more frequent nodal involvement (OR=2.2). This more aggressive biology was later on translated into over 3-fold higher disease-specific mortality rate. The median time to develop contralateral GCT was 92 months. Pathological local T-stage (T2-T3) of the primary tumor predicted a shorter time interval to a diagnosis of a second GCT (HR 0.92, P<0.05).
Conclusion: BGCT presents at a younger age and as a more aggressive disease. Synchronous BGCT is diagnosed at a more advanced stage and has higher disease-specific mortality. Metachronous tumors have a longer time interval for the development of a contralateral neoplasm. The main predictor of developing an early metachronous disease is a high primary T stage.