bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on energy dissipation law of coal crushing under impact load and block size partitioning dimension
Authors: WANG XiaoHe , Wu Jing , Zhang WenBo , Wang JiangHao , Yun QingLong , Wang YiQing , Sui Yi 
Published: June 2023

Abstract
To study the energy dissipation law of coal crushing under impact load, this paper adopts the separated Hopkinson compression bar experimental system device to analyze the energy dissipation law of impact coal and non-impact coal during the destruction process of coal samples under impact load, and the dynamic compression mechanical properties of two coal samples during the destruction process are studied from the energy point of view and block size sub-dimension, the research results show that, with the increase of strain rate The results show that, with the increase of strain rate, the fragmentation work of the two coal samples has an obvious strain-rate-related effect, and the increase of impact coal is larger than that of non-impact coal; the incident energy, reflected energy and transmitted energy of the two coal samples increase approximately linearly with different magnitudes, and the energy of impact coal is more likely to be concentrated and grow faster than that of non-impact coal, and with the increase of strain rate, the fractional dimension of the fragmentation under impact load of the two coal samples increases continuously, and the fractional dimension The number of fractional dimensions increased with the incident energy and crushing work, and the fractional dimensions showed an obvious growth effect.
Sensor-based Fog-Cloud Integrated Human Fall Detection System using Regression-based Gait Pattern Recognition
Authors: Ganesan Rajkumar , Y BevishJinila 
Published: June 2023

Abstract
Human falls areidentified as the common problems among the elderly persons living lonely in home may lead to severe injuries, continuing disabilities, fear of falling and even death. The goal of this research study is to develop the wearable sensor-based system to assess the human fall risk and gait impairments of elderly persons in daily living conditions. So, a fog-cloud integrated human fall detection system (FCIHFDS) is proposed to collect the gait parameters for identifying the fall risk of remote patients. In order to support real-time learning and recognition of gait patterns, a multiple hidden Markov model-based regression learning (MHMMRL) classifier is introduced to deal with on-board human fall and other behavioral activities prediction. As a result, the proposed FCIHFDS provides better patient activities recognition against the existing fall prediction systems in terms of both prediction time and prediction accuracy. To minimize the latency and cost involved during the prediction and rehabilitation process, a novel cost aware offloading scheme is introduced for appropriate decision making in the peer-to-peer fog-cloud integrated platform.The proposed cost aware offloading scheme outperform the existing Energy and Time Efficient Offloading, and Cost and Energy Aware Offloading schemes in terms of cost(utility value). These findings may be more useful for supporting long-time monitoring of human fall risk at ambient assisted living environments and improve its clinical utility.
Academic performance in exercise physiology courses is higher among students who attended the human physiology course
Authors: Rodrigues Mila Alves Matos , Silva Rizia Rocha , Santos Douglas Assis Teles , de Freitas João Victor Rosa , Gentil Paulo , Vieira Carlos Alexandre , Rebelo Ana Cristina Silva , Andrade Marília Santos , Campos Mário Hebling , Costa Gustavo de Conti Teixeira , Knechte Beat , Vancini Rodrigo Luiz , de Lira Claudio Andre Barbosa 
Published: June 2023

Abstract
Purpose
To evaluate academic performance in exercise physiology coursework among students who have previously attended or have not previously attended human physiology coursework.
Methods
This is a two aims research study. The first aim examined the school records of 311 undergraduate students pursuing a bachelor's degree in physical education. Participants were divided into two groups: students who had previously attended and were approved in human physiology coursework (group 1, n = 212, 68.2%) and students who have not previously attended or have attended but failed in human physiology coursework (group 2, n = 99, 31.8%). A Poisson regression model with a robust variance estimator was used to estimate the prevalence ratio (PR) and 95% confidence interval (CI). The second aim involved 67 bachelor's degrees in physical education students who completed an electronic questionnaire about their perceptions of human physiology and exercise physiology coursework.
Results
The students who have not previously attended or have attended but failed in human physiology coursework human physiology coursework have a higher PR 2.37 (CI95% 1.68–3.34) to be not approved in exercise physiology, when compared to those who attended human physiology and was approved. Regarding the students' perceptions of human physiology and exercise physiology courseworks, most students reported that these courseworks are difficult (58.2% and 64.2%, respectively), but the students recognized the importance of these courseworks for professional practice (59.7% and 85.1%, respectively).
Conclusion
Students who have not participated in extracurricular academic activities are more likely to perform worse academically; thus, human physiology should be considered a prerequisite discipline in a bachelor's degree in physical education course.
Combination of Clinical Information and Radiomics Models for the Differentiation of Acute Simple Appendicitis and Non-simple Appendicitis on CT Images: A Preliminary Study
Authors: Zhao Yinming , Wang Xin , Zhang Yaofeng , Liu Tao , Zuo Shuai , Sun Lie , Zhang Junling , Wang Kexin , Liu Jing 
Published: June 2023

Abstract
Objective
To investigate the radiomics models for the differentiation of simple and non-simple acute appendicitis.
Methods
This study retrospectively included 334 appendectomy cases (76 simple and 258 non-simple cases) for acute appendicitis. These cases were randomly divided into training (n = 106) and test cohorts (n = 228). A radiomics model was developed using the radiomic features of the appendix area on CT images as the input variables. A CT model was developed using the clinical and CT features as the input variables. A combined model was developed by combining the radiomics model and the clinical information. These models were tested, and their performance was evaluated by receiver operating characteristic (ROC) curves and decision curve analysis (DCA).
Results
The variables independently associated with non-simple appendicitis in the CT model were body temperature, age, percentage of neutrophils and the Rad-score. The AUC of the combined model was significantly higher than that of the CT model (P = 0.041). The AUC of the radiomics model was also higher than that of the CT model but did not reach a level of statistical significance (P = 0.053). DCA showed that all three models had a higher net benefit (NB) than the default strategies and the combined model presented the highest NB. A nomogram of the combined model was developed as the graphical representation of the final model.
Conclusion
It is feasible to use the combined information of clinical and CT radiomics models for the differentiation of simple and non-simple acute appendicitis.
Improving the Efficiency of Allometric Equations using Artificial Neural Networks in Coppicing Stands of Brant's Oak
Authors: Fallah Saman , soosani javad , naghavi hamed , yousofvandmofrad Mohsen 
Published: June 2023

Abstract
Estimation of forest trees biomass for various purposes is fundamental. One method of estimating biomass uses allometric equations that limit the normality of variables and the homogeneity of variances. In this study, artificial neural networks were used as an alternative method to increase biomass estimation accuracy. Fifty three sprout chumps of Brant's Oak (Quercus brantii Lindl) were randomly selected from the Melah¬Shabanan of Khorramabad in Iran. Diameter at knee height, diameter at breast height, crown diameter, number of sprouts, and height of trees were measured. To calculate the dry weight of the biomass, a disk 3–5 cm from the trunk and crown was separated and weighed, and with the ratio of dry weight to fresh weight, the dry weight of the crown, trunk, and aboveground biomass of the trees was calculated. Modeling the relationships between variables with regression equations and Multilayer Perceptron and Radial Basis Function neural networks showed that both neural networks could increase the coefficient of determination to R2 = 0.98 and R2 = 0.96 and reduce the error to RMSE% = 11.6 and RMSE% = 16.9 and thus the neural network models can increase the quality forest biomass estimates are compared with allometric equations.
Description of two new species of Tarsonemus (Acari: Tarsonemidae) from the Southern Plateau and Hill Region of India
Authors: Kayal Sandipan , Karmakar Krishna 
Published: June 2023

Abstract
Two new species of the genus Tarsonemus Canestrini and Fanzago, 1877 (Acari: Heterostigmatina: Tarsonemidae) named as Tarsonemus dakshinbharaticus Karmakar and Kayal sp. n. and Tarsonemus sertum Karmakar and Kayal sp. n. are described based on the specimens collected on the leaves of Mimusops elengi L. (Sapotaceae), Syzygium cumini (L.) (Myrtaceae) and Psidium guajava L. (Myrtaceae) and from Bengaluru, Karnataka situated in the Southern Plateau and Hill Region, India. A key to the Indian Tarsonemus spp. is also provided.
Ultracold Field-Linked Tetratomic Molecules
Authors: Chen Xing-Yan , Biswas Shrestha , Eppelt Sebastian , Schindewolf Andreas , Deng Fulin , Shi Tao , Yi Su , Hilker Timon , Bloch Immanuel , Luo Xin-Yu 
Published: June 2023

Abstract
Ultracold polyatomic molecules offer intriguing new opportunities [1] in cold chemistry [2, 3], precision measurements [4], and quantum information processing [5, 6], thanks to their rich internal structure. However, their increased complexity compared to diatomic molecules presents a formidable challenge to employ conventional cooling techniques. Here, we demonstrate a new approach to create ultracold polyatomic molecules by electroassociation [7, 8] in a degenerate Fermi gas of microwave-dressed polar molecules through a field-linked resonance [9–11]. Starting from ground state NaK molecules, we create around 1.1×103 tetratomic (NaK)2 molecules, with a phase space density of 0.040(3) at a temperature of 134(3)nK, more than 3,000 times colder than previously realized tetratomic molecules [12]. We observe a maximum tetramer lifetime of 8(2)ms in free space without a notable change in the presence of an optical dipole trap, indicating these tetramers are collisionally stable. The measured binding energy and lifetime agree well with parameter-free calculations, which outlines pathways to further increase the lifetime of the tetramers. Moreover, we directly image the dissociated tetramers through microwave-field modulation to probe the anisotropy of their wave function in momentum space. Our result demonstrates a universal tool for assembling ultracold polyatomic molecules from smaller polar molecules, which is a crucial step towards Bose–Einstein condensation (BEC) of polyatomic molecules and towards a new crossover from a dipolar Bardeen–Cooper–Schrieffer (BCS) superfluid [13–15] to a BEC of tetramers. Additionally, the long- lived FL state provides an ideal starting point for deterministic optical transfer to deeply bound tetramer states [16–18].
Biochemical and heavy metals composition of the invasive seaweed Sargassum muticum (Yendo) according to season and sites along Moroccan Atlantic Coast
Authors: Aamiri Abderrahmane , Rezzoum Nor-Eddine , Touhamia Yasmine , Zidane Hakima , Benhassan Lhoucine , Pascal Pierre-Yves. , Bellahcen Touria Ould 
Published: June 2023

AbstractSince 2012 Moroccan Atlantic coast have witnessed the introduction of the brown alien seaweedSargassum muticumwith a high invasive potential presenting environmental and economic risks. This study evaluates, for the first time, the effect of seasons and location on biochemical composition ofS. muticum. Proteins, carbohydrates, lipids, pigments, minerals, and heavy metals were studied during four seasons from spring 2019 to autumn 2020 in four different sites along the Moroccan Atlantic coast (El Jadida, Saada (SA), Sidi Bouzid (SB), Moulay Abdallah (MA) and Jorf Lasfar (JL)). MA present highest proteins content (12.5% dw) during spring and highest levels of lipids and carbohydrates content during summer (1.8% dw and 41.5% dw respectively). Highest chlorophyll a content was found in JL and MA site with (21.6 and 21.45 mg ml− 1respectively) during winter. Maximum chlorophyll c and carotenoids was found at SA with (2.27 and 9.71 mg ml− 1respectively) during winter. In all locations and during all seasons, the mineral profile was rich in essential minerals such as Mg, Mn, Zn, Fe, Se and Li. Levels of toxic metals Al and Pb were lower than in previous studies whereas Cd and As turn to be slightly higher than the legislations limits for dry seaweeds. Therefore, in this context, some strategies ofS. muticumvalorisation should be favoured such as bioenergy, bioplastic or biostimulant over others such as human food and animal feed.
A Fast-Response, Phenanthroimidazole-Based Fluorescent Chemosensor for Selective Detection of HClO
Authors: Dai Enhui , Sheng Yumiao , Gao Yunling 
Published: June 2023

Abstract
A new phenanthroimidazole-based fluorescence probe for selective detection of HClO was synthesized and characterized using 1HNMR, 13CNMR, IR, and HRMS. With benzenesulfonohydrazide as the identification group, the probe demonstrated a fast fluorescence response from yellow-green to blue when the HC = N double bond was oxidized and broken into an aldehyde group. The probe showed high selectivity and sensitivity towards HClO with approximately 4.5-fold fluorescence enhancement and has been successfully applied in the molecular logic gates, determination of HClO in environmental water samples, and portable HClO detection.
The Impact of Female Secondary Education on Economic Growth in Bangladesh: An ARDL Approach
Authors: Dhar Soma , Sarker Tapan 
Published: June 2023

Abstract
The goal of this research is to investigate the impact of female secondary education on long-term economic growth in Bangladesh. For this purpose, following a quantitative methodology, the impacts of Female Secondary Education, Female Labor Force Participation Rate, and Fertility Rate on the real GDP growth of Bangladesh are examined for the period 1995–2021. The findings of the Auto Regressive Distributive Lag (ARDL) cointegration model reveal that the female secondary education and the female labor force participation rate have a positive significant impact on economic growth whereas the fertility rate has a negative significance on economic growth in Bangladesh. In addition, the Error Correction Model has been used to capture the speed of adjustment. The coefficient of Error Correction Term (ECT) holds a theoretically correct sign and is also statistically significant, meaning that there exists short-run adjustment in the whole system. The study offers some recommendations for the betterment of female secondary education which can contribute to the economic growth in Bangladesh and other developing economies.
MXRFCS: Design of an augmented Multidomain XRay Feature representation model for identification of CoVID Severity levels
Authors: Thombre Supriya , Malik Latesh , Kumar Sanjay 
Published: June 2023

Abstract
The COVID-19 pandemic has placed an enormous strain on healthcare systems worldwide, leading to a need for more efficient methods of identifying the severity of COVID-19 patients to efficiently allocate resources. Existing Xray processing models for identification of COVID-19 are either highly complicated or showcase lower efficiency when applied for real-time scenarios. To overcome these issues, this paper presents a novel approach for identifying the severity of COVID-19 patients using an augmented multimodal X-ray feature representation model. The proposed model combines X-ray images, clinical data, and demographic information to create a robust representation of individual patient condition. The collected information is converted into multidomain feature sets, including frequency, Gabor, Wavelet and entropy components. A customized deep neural network is trained on this representation to predict the severity level of COVID-19 patients. To evaluate the performance of the proposed model, we used a dataset of X-ray images and clinical data from COVID-19 patients. Our results demonstrate that the proposed model outperforms existing methods for identifying COVID-19 severity levels, achieving an accuracy of 98.5% on multiple dataset samples. The proposed model's performance was observed to be promising in terms of precision, recall and delay, thus has the potential to aid in the early identification and effective management of severe COVID-19 cases, thus contributing to the global effort to combat the COVID-19 pandemic under clinical use cases.
Upscaling biomass production of rosmarinic acid-rich hairy root cultures of Agastache rugosa
Authors: Kozłowska Weronika , Piątczak Ewelina , Kolniak-Ostek Joanna , Kochan Ewa , Pencakowski Bartosz , Stafiniak Marta , Bielecka Monika , Płachno Bartosz J. , Strzemski Maciej , Matkowski Adam , Zielinska Sylwia 
Published: June 2023

Abstract
Agastache rugosa (Fisch. & C.A.Mey.) Kuntze known as Korean Mint is a medicinal and aromatic plant containing rosmarinic acid as a major bioactive polyphenol but its content in this herbal drug is variable. Plant in vitro culture is one of the approaches used to overcome the complexity of environmental factors influencing phytochemical profiles in medicinal plants.
In this study, hairy root cultures of A. rugosa were established through the infection of Rhizobium rhizogenes. Four hairy roots lines were selected on the basis of biomass production in liquid media. Transformation was confirmed by PCR using rolC specific primers. The hairy roots were successfully cultured in 300 mL conical flasks and scaled-up using three bioreactor types (nutrient sprinkle bioreactor – NSB and two modular temporary immersion systems – RITA® and Plantform®). The UPLC analysis of A. rugosa transformed roots methanol extracts showed the presence of 24 polyphenolic compounds with the predominance of rosmarinic acid (RA), which level ranged between 3.82 and 9.16 mg/g of dry weight. Nineteen compounds were identified in hairy roots growing in NSB system, 9 of them were identified in roots cultured in RITA® or Plantform® and 7 compounds were identified in roots from Erlenmeyer flasks. The A. rhizogenes infection (strain A4) was found to be an effective method of hairy root culture establishment of A. rugosa.
Tetraspanin CD81 is expressed in human parotid cancer tissue and mediates cell proliferation
Authors: Hamada Wataru , Kato-Kogoe Nahoko , Yamanegi Koji , Kanetake Hirofumi , Hirata Azumi , Terada Tetsuya , Kurisu Yoshitaka , Une Hidenori , Hirose Yoshinobu , Nakanishi Tohru , Kawata Ryo , Ueno Takaaki 
Published: June 2023

Abstract
Objectives
CD81, a transmembrane protein belonging to the tetraspanin family, has recently attracted attention as a therapeutic target for cancer owing to its important role in human cancer biology; however, there is no previous knowledge regarding CD81 expression in parotid cancer. Therefore, this study aimed to investigate CD81 expression in human parotid cancer and its involvement in cell proliferation.
Materials and Methods
Tissue samples were collected from 36 patients with parotid cancer, including 10 with salivary duct carcinoma (SDC), 16 with mucoepidermoid carcinoma (MEC), 5 with adenoid cystic carcinoma (ACC), and 5 with carcinoma ex pleomorphic adenoma (Ca ex PA). CD81 expressions in parotid cancer tissues were evaluated using western blotting and immunohistochemistry. Parotid cancer cell lines were established and the effect of suppressing CD81 expression by small interfering RNA (siRNA) and the effect of our anti-CD81 monoclonal antibody on the growth of parotid cancer cells were evaluated.
Results
The immunohistochemical expressions of CD81 on tumor cell membranes were observed in SDC and MEC tissues but not in ACC and Ca ex PA tissues. Furthermore, inhibition of CD81 expression by siRNA suppresses the growth of parotid cancer cells, and the mouse monoclonal antibody against CD81 inhibited parotid cancer cell growth in a concentration-dependent manner.
Conclusions
We confirmed the expressions of CD81 in SDC and MEC tissues and showed that its inhibition suppressed the growth of parotid cancer cells.
Clinical Relevance
These findings provide primary data for the therapeutic targeting of CD81 in parotid cancer.
Residual varus alignment after posterior-stabilized total knee arthroplasty limits medial soft tissue remodeling
Authors: Jia Yanfeng , Qin Shiqi , Xu Juncai , Gao Wei , Zhang Boxuan , Wang Xiaofeng , Zhou Kezhen , Sun Zhiwen , Niu Yingzhen , Sun Ran 
Published: June 2023

Abstract
Background Proper lower limb alignment and soft tissue balance are significant indicators to measure the success of total knee arthroplasty (TKA). Previous studies have confirmed that soft tissue relaxation around the knee after TKA will change over time; however, the relationship between lower limb alignment and soft tissue balance after TKA is still unclear. We studied (1) whether the change of soft tissue balance around the knee with time after PS TKA would affect the alignment of the lower limbs; (2) Whether the accuracy of lower limb alignment during PS TKA affects postoperative soft tissue remodeling.
Methods In this study, 100 patients were recruited after PS TKA. Among them, 50 patients with a hip knee ankle (HKA) angle of ≤ ± 3 ° were set as the neutral group, and 50 patients with HKA angle of ＞± 3 ° were set as the deviation group. The imaging results measured the hip knee ankle (HKA) angle before the operation as well as the HKA, varus, and valgus angles at 1, 3, 6, 12, and 24 months after TKA. Clinical assessment included range of motion (ROM), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Knee Society Score (KSS).
Results Eight people were excluded in the experiment. The study enrolled 47 patients in the neutral group and 45 patients in the deviant group follow up for 2 years . During the follow-up, the HKA angles were 1.64 °, 1.66 °, 1.69 °, 1.67 °, and 1.64 ° in the neutral group and 4.35 °, 4.38 °, 4.40 °, 4.42 °, and 4.42 ° in the deviation group. There was no statistical significance in the changes of HKA angle in the follow-up of the two groups (P > 0.05). The mean varus angles of the patients in the neutral group were 5.77 °, 4.17 °, 4.06 °, 4.06 °, and 4.09 °, while the mean varus angles of the patients in the deviation group were 5.68 °, 4.20 °, 4.18 °, 4.09 ° and 4.05 °, with no significant difference between the groups (P > 0.05). The mean valgus angles of the patients in the neutral group and deviation group were 2.47 ° and 2.45 ° (P = 0.841), 3.45 ° and 2.88 ° (P < 0.001), 3.63 ° and 3.07 ° (P < 0.001), 3.60 ° and 3.06 ° (P < 0.001), 3.63 ° and 3.10 ° (P < 0.001). ROM, WOMAC and KSS of the two groups were significantly improved after operation, and there was no difference between the two groups.
Conclusion This study shows that whether the alignment is accurate or not in the early stage after TKA, the relaxation of the medial and lateral soft tissues of the knee joint change; however, this change will not significantly affect the alignment of the lower limbs. Postoperative residual varus deformity will limit medial soft tissue remodeling.
Level of evidence III.