bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic modeling and nonlinear free vibration analysis of a rotating 3D beam induced by adjacent two revolute joints
Authors: Yıldırım Ece , Aktürk Nizami 
Published: August 2022

Abstract
In this article, a 3D dynamic model and nonlinear free vibration analysis of a uniform beam attached to a rigid hub rotating by two adjacent rotary joints are presented. The nonlinear model is performed by considering the effects of steady-state axial deformation, coriolis terms, and geometric nonlinearity by means of the von Karman’s strain-displacement relations. The coupled axial, chordwise, and flapwise equations of motion are derived from Hamilton’s principle. Then, Galerkin’s procedure is utilized to discretize the governed partial differential equations. The effects of hub radius, and rotational speeds are incorporated into the governing equations of motion. The relative effects of the Coriolis term on the flapwise and chordwise deformations of a considered 3D rotating beam are investigated. The validity of the present numerical results is verified by comparing them with the available results of the cantilever beam with and without the hub radius under various rotational speeds. The quantitative data obtained within the limit of speed of rotation reveals that the Coriolis factor has a significant impact on the flapwise bending frequencies but not really the chordwise bending frequencies.
Gender and labor supply in Cameroon: an analysis in terms of job quality
Authors: Meka'a Cosmas Bernard , Fotso Silvain Raoul 
Published: August 2022

Abstract
The objective of this article is to analyze according to gender the quality of employment in the labor market in Cameroon. For this, we use data from the fourth Cameroon Household Survey (ECAM4). To estimate the determinants of job quality between men and women, we use the estimation of a multinomial logit model.The results establish that the probability for women to hold a better job is lower compared to men. The only possibilities for women to benefit from good quality jobs are when they have managerial status and when they work in large companies. Inequalities in access to better quality jobs against them are more related to differences in unobservable characteristics than to differences in individual characteristics.JEL Rating: J16, J23, C25, C35
Improving visualization of the cervix during pelvic exams: A physical model and a steppingstone to reducing disparities in gynecological cancers
Authors: Yerrabelli Rahul Sai , Palsgaard Peggy K. , Hojati Ashkhan , Johnson Amy J. Wagoner 
Published: August 2022

Abstract

PURPOSE
Pelvic exams are frequently complicated by collapse of the lateral vaginal walls, obstructing the view of the cervix. To overcome this, physicians frequently repurpose a glove or a condom as a sheath placed over the speculum blades to retract the lateral vaginal walls. Despite their regular use in clinical practice, little research has been done comparing the relative efficacy of these methods. Better visualization of the cervix can benefit patients by decreasing examination-related discomfort, improving cancer screening accuracy, and preventing the need to move the examination to the operating room under general anesthesia.
METHODS
This study presents a physical model that simulates vaginal pressure being exerted around a speculum. Using it, we then compare the efficacy of different condom types, glove materials, glove sizes, and application methods onto the speculum.
RESULTS
The results show that the best sheath is the middle finger of nitrile-material gloves. They provide adequate lateral wall retraction without significantly restricting the opening of the speculum. In comparison, condoms provide a smaller amount of retraction due to loosely fitting the speculum. They may still be a reasonable option for a different speculum size. However, vinyl-material gloves are an impractical option for sheaths; they greatly restrict speculum opening, occasionally even breaking the speculum, which overcome its retraction benefits. Glove size, condom brand, and condom material (latex vs polyisoprene) had minimal impact.
CONCLUSION
This study serves as a guide for clinicians as they use easily accessible tools to perform difficult pelvic exams. We recommend that physicians consider nitrile gloves as the preferred option for a sheath around a speculum. Additionally, this study demonstrates proof-of-concept of a physical model that quantitatively describes different materials on their ability to improve cervical access. This model can be used in future research with more speculum and material combinations, including with materials custom-designed for vaginal retraction.
Association between Vitamin D and pregnancy in women with polycystic ovary syndrome: a cohort study from Beijing, China
Authors: Piao Chunmei , Li Jia , Zhao Zhihong , Wang Kefang 
Published: August 2022

Abstract
Background
Polycystic ovary syndrome (PCOS) is one of the most common gynecological endocrine diseases, and one of the primary causes of anovulatory infertility. Vitamin D deficiency is common in PCOS patients, but few studies have been done on the relationship between vitamin D and reproductive function in PCOS patients. We investigate the correlation between vitamin D levels and pregnancy in patients with PCOS after ovulation induction therapy to explore the role of vitamin D in PCOS.
Methods
We enrolled a total of 200 newly diagnosed infertile patients with PCOS (experimental group) and 200 healthy women of childbearing age (control group) between June 2016 and September 2018. We investigated the pregnancy rate for patients with PCOS and studied correlation of pregnancy rate and levels of 25-(OH) D3 in patients with PCOS. Then we evaluated serum 25-(OH) D3 levels between the two subgroups, with the experimental group divided into vitamin D-deficient and vitamin D non-deficient subgroups and analyzed their respective pregnancy rates.
Results
The mean serum 25-(OH) D3 level in the experimental group was significantly lower than that in the control group (14.57 ± 5.86 ng/mL vs. 22.24 ± 6.73 ng/mL, respectively; t = 12.190, P < 0.05). Of the 200 patients in the experimental group, 149 patients completed the ovulation-induction regimen, comprising 72 patients who became pregnant and 77 patients who failed to become pregnant—generating a pregnancy rate of 48.32%. We noted that the serum 25-(OH) D3 level in the pregnant patients was significantly higher than that in the non-pregnant patients (16.06 ± 5.80 ng/mL vs. 13.54 ± 5.88 ng/mL, respectively; t = 2.635, P < 0.05). Additionally, the pregnancy rate was 43.89% in the vitamin D-deficient group compared to 67.86% in the vitamin D non-deficient group, with the latter significantly higher compared to the former group (χ2 = 5.269, P < 0.05).
Conclusions
The serum vitamin D level, was lower in the PCOS patients than in healthy women, and the pregnant PCOS patients undergoing ovulation induction exhibited a higher level than non-pregnant patients. Our results indicated a positive role for vitamin D in pregnant patients with PCOS. We demonstrated that vitamin D appeared to play a beneficial role in PCOS patients undergoing an ovulation-induction regimen. We posit that vitamin D may in the future serve as an indicator to guide the clinical treatment of PCOS patients of child-bearing age.
Theoretical study of the electronic features of Silicon-Carbon crystal as a semiconductor Using Quantum Espresso
Authors: Ayoubi-Chianeh Mojgan 
Published: August 2022

Abstract
In this research, quantum simulations are applied to determine the electronic features of the Silicon-Carbon (SiC) crystal. The band structure (BS), density of states (DOS), k-resolved DOS, and convergence calculations are conducted for the optimized SiC, using the plane-wave (PW) method as implemented in Quantum Espresso (QE) program. The calculated values of the band gap and Fermi energy show the values of 0.75 and 9.80 eV, respectively. Therefore, our scrutinized SiC crystal appears as a notable semiconductor that can promise a new generation of solar cells.
A Collaborative Empirical Analysis on Machine Learning Based Disease Prediction in Health Care System
Authors: Das Ayushi 
Published: August 2022

Abstract
Medical treatment processes around the world are expected to revolutionize with the help of AI-aided healthcare services. AI can replicate human cognition and is capable of learning, reasoning, making decisions, and acting. The adaptation of AI can radically reshape the entire healthcare businesses. This paper proposes a comparative analysis of four classification algorithms. The selected algorithms are k-Nearest Neighbour, Naive Bayes, Decision Tree, and Random Forest which predict some commonly identified ailments. These Supervised Machine Learning classifiers are used on a disease prediction data-set to predict 41 prevalent diseases based on any 5 conspicuous symptoms from the data set’s 132 common symptoms. After the study we conclude, Random Forest had the highest accuracy of 99.5%, followed by Decision Tress at 95.8%, then K Nearest Neighbor at 93.4%, and lastly Naive Bayes at 87.7%. Our experiment achieved higher accuracy than previous investigation dealing with identical classification problem, in the health care arena. A web application has also been employed which is providing the highest accuracy while predicting the diseases in a user-friendly manner.
Perturbation analysis in the N-terminal domain of hPGK1: a biophysical, structural and statistical mechanical study
Authors: Pacheco-García Juan Luis , Loginov Dmitry S. , Naganathan Athi N. , Vankova Pavla , Cano-Muñoz Mario , Man Petr , Pey Angel L. 
Published: August 2022

Abstract
Phosphoglycerate kinase has been a model for the stability, folding cooperativity and catalysis of a two-domain protein. The human isoform 1 (hPGK1) is associated with cancer development and rare genetic diseases that affect several of its features. To investigate how mutations affect hPGK1 folding landscape and interaction networks, we have introduced mutations at a buried site in the N-terminal domain (F25 mutants) that either created cavities (F25L, F25V, F25A), enhanced conformational entropy (F25G) or introduced structural strain (F25W) and evaluated their effects using biophysical experimental and theoretical methods. All F25 mutants folded well, but showed reduced unfolding cooperativity, kinetic stability and altered activation energetics according to the results from thermal and chemical denaturation analyses. These alterations correlated well with the structural perturbation caused by mutations in the N-terminal domain and the destabilization caused in the interdomain interface as revealed by H/D exchange under native conditions. Importantly, experimental and theoretical analyses showed that these effects are significant even when the perturbation is mild and local. Our approach will be useful to establish the molecular basis of hPGK1 genotype-phenotype correlations due to phosphorylation events and single amino acid substitutions associated with disease.
Violence Recognition on Videos Using Two-stream 3D CNN with Custom Spatiotemporal Crop
Authors: Pratama Raka Aditya , Yudistira Novanto , Bachtiar Fitra Abdurrachman 
Published: August 2022

Abstract

Violence may happen anywhere. One of the ways to know and oversee the violence in some places is by installing Closed-circuit Television (CCTV). The recorded video captured by CCTV can be used as proof in a law court. Violence video classification is also one of the topics being discussed in deep learning. The latest violence video dataset is RWF-2000. That dataset contains violent and non-violent videos, 5 seconds duration, 30 frames per second, with the amount of 2000 videos. That publication also has the best accuracy of 87.25% by their proposed method. In this study, we will use a Residual Network known to have the advantage of solving the vanishing gradient problem. Beside that, we also implement transfer learning from Kinetics and Kinetics + Moments in Time pre-trained data. We also test the number of frames and the location of the sampling frame range. RGB and optical flow inputs are separately trained with different configurations. The RGB input best accuracy is 89.25% with pre-trained Kinetics + Moments in Time, using frame location 49-149. The optical flow input best accuracy is 88.5% with pre-trained Kinetics, using 74 frames. We also try to sum the output of both inputs making accuracy of 90.5%.
Tolerance to aryloxy-phenoxy-propionate (APP) as a model for Lazarroz FL rice in vitro gamma irradiation variability selection
Authors: Hernández-Soto Alejandro , Méndez-Navarro Daniela , Perez Jason , Gatica-Arias Andrés , Vargas-Segura Walter , Echeverria-Beirute Fabián , Abdelnour-Esqu Ana 
Published: August 2022

Abstract

In vitro gamma ray (60Co) mutagenesis is a powerful tool to achieve variability in commercial rice lines used by farmers, such as Lazarroz FL. We previously reported the optimized in vitro gamma mutagenesis system for Lazarroz FL Indica callus. As a continuation, in the present study, we targeted the ACC2 gene mutagenesis that provides tolerance to aryloxy-phenoxy-propionate (APP) fluazifop-P-butyl as a model to show the system's potential to create variability while providing a solution for weed management. The DL50 of fluazifop-P-butyl was calculated in calli as DL50 = 6,93 mg/L (0,425 mg/L − 15,743 mg/L, R2 = 0,402, 1000n) and regenerated vitroplants at an LD50 of 3.771 mg/L (R2 = 1, 290n). We used 5 mg/L fluazifop-P-butyl as a selection agent and the second round of selection of 10 mg/L (3000 vitroplants) resulted in one survivor plant when using calli as a starting material. The putative tolerant plant also tolerated 150 mg/L in the greenhouse. The ACC2 gene was sequenced, and a heteroecious mutation, T2222I/T2222M, was discovered that may be linked to tolerance. We improved the in vitro system by using seeds as a gamma irradiation starting point instead of embryogenic calli, followed by calli induction, regeneration, and exposure to the selection agent. The modification allowed higher gamma doses with an LD50 of 350 Gy and one to thirty-one putative tolerant plants. The in vitro model showed that gamma-ray mutants from recalcitrant indica rice materials are possible, and the use of selection agents such APP can help create variability useful for breeding a more resilient rice.
Rationally Reconstructed Metal-organic Frameworks as Robust Oxygen Evolution Electrocatalysts
Authors: Zhang Chengxu , Qi Qianglong , Mei Yunjie , Hu Jue , Sun Mingzi , Zhang Yingjie , Huang Bolong , Zhang Libo , Yang Shihe 
Published: August 2022

Abstract

Although the metal-organic framework (MOF) based materials have become one of the most important types of electrocatalysts for the sluggish oxygen evolution reaction (OER), a novel design strategy for the MOF structure is highly needed to overcome the current development bottleneck of the electrochemical performance. Reconstructing MOFs towards a designed framework structure provides breakthrough opportunities to achieve unprecedented OER electrocatalytic performance, but has rarely, if ever, been proposed and investigated yet due to the significant challenges during the synthesis. Here, we report the first successful fabrication of a robust OER electrocatalyst by precision reconstruction of an MOF structure from MOF-74-Fe to MIL-53(Fe)-2OH with different coordination environments at the active sites. Theoretical calculations have revealed that the Fe sites in MIL-53(Fe)-2OH with uncoordinated phenolic hydroxyls are more electroactive than that in MOF-74-Fe. Benefiting from this desired electronic structure, the designed MIL-53(Fe)-2OH catalyst exhibits unprecedentedly high intrinsic OER activity, including a low overpotential of 215 mV at 10 mA cm−2, low Tafel slope of 45.4 mV dec−1 and high turnover frequency (TOF) of 1.44 s−1 at the overpotential of 300 mV, which is 81 times higher than the TOF of the commercial IrO2 catalyst (0.0177 s−1). The radically reduced eg-t2g crystal field splitting in Fe-3d and thus the much suppressed electron hopping barriers through the synergistic effects of the O species from the coordinated carboxyl groups and the uncoordinated phenolic groups guarantee the efficient OER in MIL-53(Fe)-2OH. Consistent with the DFT calculations, the real-time kinetic simulation reveals that the conversion from O* to OOH* is the rate-determining step on the active sites of MIL-53(Fe)-2OH. This work establishes a MOF platform to systematically investigate the structure-property relationship for rationally designing and fabricating robust OER electrocatalysts in the future.
ECG signal processing by feature selection with classification based on machine learning architectures in cardiovascular disease detection
Authors: Qamar Shamimul 
Published: August 2022

Abstract
A typical method for capturing electrical activity of human heart is electrocardiography (ECG). Because of its low amplitude and extreme susceptibility to high frequency noise and other distortions, accurate computer analysis of ECG signals is difficult. This paper's main goal is to provide machine learning methods for diagnosing myocardial infarction and differentiating between arrhythmias, hypertrophy, and heart enlargement. This research propose novel technique in ECG signal processing based on machine learning architectures by feature extraction with classification. Here the input ECG signal is processed for noise removal, smoothening and normalization; signals has been obtained as frames. Then this signal feature has been selected using support vector machine integrated with backward elimination architecture. the selected features of ECG signal is classified using probabilistic particle swarm optimization. From the classified ECG signal the type of cardio vascular disease detected. The experimental analysis is carried out for different dataset in which the proposed technique is analysed in terms of accuracy, precision, recall, F-measure, RMSE.
Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org
Authors: Bijari Kayvan , Zoubi Yasmeen , Ascoli Giorgio A. 
Published: August 2022

Abstract
The amount of unstructured text produced daily in scholarly journals is enormous. Systematically identifying, sorting, and structuring information from such a volume of data is increasingly challenging for researchers even in delimited domains. Named entity recognition is a fundamental natural language processing tool that can be trained to annotate, structure, and extract information from scientific articles. Here, we harness state-of-the-art machine learning techniques and develop a smart neuroscience metadata suggestion system accessible by both humans through a user-friendly graphical interface and machines via Application Programming Interface. We demonstrate a practical application to the public repository of neural reconstructions, NeuroMorpho.Org, thus expanding the existing web-based metadata management system currently in use. Quantitative analysis indicates that the suggestion system reduces personnel labor by at least 50%. Moreover, our results show that larger training datasets with the same software architecture are unlikely to further improve performance without ad-hoc heuristics due to intrinsic ambiguities in neuroscience nomenclature. All components of this project are released open source for community enhancement and extensions to additional applications.
Nitrogen and Potassium Fertilization as Related to the Yield of Peel Oil from ‘Pineapple’ Oranges1
Authors: Kesterson J. W. , Braddock R. J. , Koo R. C. J. , Reese R. L. 
Published: August 2022

Abstract
An N rate associated with reduced fruit production substantially reduced the quantity of peel oil on a per metric ton (MT) of fruit basis and the yield of oil on a per hectare basis of ‘Pineapple’ orange (Citrus sinensis (L.) Osbeck) K had no significant effect on the peel oil content on a per ha basis, but did increase fruit production (MT/ha) and reduced the peel of oil content.
Sex Inheritance in Some Carica Species1
Authors: Mekako H. U. , Nakasone H. Y. 
Published: August 2022

Abstract
Intercrossing within dioecious Carica species (C. pennata (Heilborn) Svensk, C. parviflora (A. DC.) Solms, C. cauliflora Jacq., C. goudotiana (Tr. & PL) Solms) produce staminate and pistillate plants in equal proportions. Carica monoica Desf., a monoecious species, produces only monoecious offspring upon selfing or intercrossing. Crosses between C. monoica as the pollen parent and pistillate plants of dioecious Carica produce a monoecious F1 and an F2 ratio of 3 monoecious: 1 pistillate. When C. cauliflora is used as the pollen parent with C. monoica, the F1 ratio is 1 staminate: 1 monoecious. Backcrossing monoecious F1 plants of this cross with staminate plants of C. cauliflora produces 1 monoecious: 1 pistillate:2 staminate. The cross between C. goudotiana (seed parent) and Carica monoica (pollen parent) was obtained but the reciprocal cross never succeeded. The backcross, using staminate C. goudotiana, produces only staminate and pistillate plants in a 1:1 ratio. Varying degrees of androecium suppression causing seasonal production of staminate flowers were observed in the F1 and F2 generations of the cross, C. goudotiana x C. monoica, while occasional production of hermaphroditic flowers was observed in monoecious F1 and F2 individuals of the cross, C. cauliflora x C. monica.
These results are discussed in relation to two hypotheses used to explain sex determination in Carica species.
Tissue Culture Propagation of Broccoli, Brassica oleracea (Italica Group), for Use in F1 Hybrid Seed Production1
Authors: Anderson Wilbur C. , Carstens James B. 
Published: August 2022

Abstract
Broccoli flower buds were explanted to a medium consisting of Murashige and Skoog inorganic salts, 30 g sucrose, 100 mg i-inositol, 0.4 mg thiamine·HCl, 80 mg adenine sulfate dihydrate, 170 mg NaH2PO4·H2O, 1 mg indole-3-acetic acid (IAA) and 4 mg 6(γ-, γ-dimethylallylamino)-purine (2iP) and 8 g Bacto-agar per liter. The culture environment was 19–23°C and 1 klx light, 16 hours duration per day from cool white fluorescent tubes. After 5 weeks culture, the explants had produced about 3 shoots per flower bud. The shoots were subcultured on the same medium with a 7.5 fold increase of shoots in 5 weeks. To develop roots, the shoot cuttings were transferred for 2 weeks to a modification of the medium detailed above containing no adenine sulfate dihydrate, NaH2PO4·H2O or 2iP and the IAA was reduced to 0.2 mg per liter. The light intensity was increased to 6 klx. The plantlets were planted in a peat-perlite mix and placed under intermittent mist for 1—3 days. The plants grew in the greenhouse to transplant stage in 6—7 weeks with 96% survival rate.
Silver Treatment of Carnation Flowers for Reducing Ethylene Damage and Extending Longevity1
Authors: Halevy Abraham H. , Kofranek A. M. 
Published: August 2022

Abstract
Direct coating of flowers of carnation (Dianthus caryophyllus L. cv White Sim) with Ag ions by spraying or momentarily dipping flower heads with AgNO3 (50-100 ppm) extended cut flower longevity and counteracted the enhancing effect of ethephon on senescence. Treating stems and leaves similarly had little or no effect. Stem base treatment with 1000 ppm was much less effective than treating the flower directly. Maximum efficiency of the AgNO3 spray was obtained when a period of 2 hours elapsed between the AgNO3 treatment and exposure to ethephon. In spite of the great extension in longevity, silver spray has limited practical use since it causes petal spotting.