Miracle-dz/UniFAR-FTUs huggingface dataset:
Stiffness analysis of leaf spring system under large deformation

The paper proposes a semi-analytical model to analyze large deformation elastic behavior of leaf spring under static load. The model treats leaf spring system as a curved beam with one end directly hinged to a fixed support and the other end being attached to another fixed support through a rigid link (shackle). Constrained motion of the shackle with large deformation of curved beam is modeled using a rotational spring at fixed hinge point of the shackle. Two more physically plausible models for the restraint motion are also proposed, which are derived from the main model through post processing. In the first derived model, the constrained motion is captured by defining a longitudinal spring in a virtual rod connecting the curved beam ends, whereas in the second derived model, the restrained motion is modeled through vertical stiffness of the system. Due to combined complications coming from non-conventional boundary condition, asymmetric geometry, non-uniform curvature, and nonlinear kinematics, the problem is analyzed through successive geometry updation. Governing equation for the curved beam is derived in body fitted curvilinear frame considering combined bending–stretching effects. Global solution for the total system is then obtained by incorporating the elastically restrained shackle motion through satisfaction of kinematic and kinetic constraint relations. As the governing equation and the constraint conditions involve geometric nonlinearity, a numerical iterative scheme is developed and implemented in MATLAB®. For the purpose of validation, the theoretical model is simulated in commercial finite element package ABAQUS®. Comparison of deflection profiles with the finite element model validates the proposed leaf spring model. After the validation study, observations on effects of system parameters and curved leaf profile shape on system stiffnesses are furnished. Effects of the parametric study are presented through true and total system stiffnesses. The parametric study may lead toward optimized design of the system.
Increasing Collective Teacher Efficacy through Inuit Qaujimajatuqangit and Coaching: A Community-Based Approach

Instructional coaching in one remote northern community focuses on teacher mentorship and professional learning and prioritizes the implementation of prepackaged literacy resources. This focus on the implementation of prepackaged programs and data collection, promotes neo-liberal priorities and the privatization of education, over the methods that support the inclusion of Inuit cultural knowledge. Kostogriz (2011) states that we should be cautious about accepting the neoliberal discourse of the literacy crisis and standardized reforms, the author suggests that low levels of literacy are not a large-scale problem so much as a result of under-provision of a socially just education. This Problem of Practice investigates the role of the learning coach in increasing collective teacher efficacy in accordance with the principals of Inuit Qaujimajatuqangit (IQ). Coaching to improve collective teacher efficacy through the integration of IQ may show greater educational improvement than literacy coaching alone. This vision for change includes an analysis coaching philosophy, leading from the middle, critical theory, organizational learning, the practice of decolonizing education and the positive effects of improving collective teacher efficacy. A PESTE analysis of the political, socio-economic factors; Bolman and Deal’s (2008) human resource frame and Nadler and Tushman’s (1980) congruence model will guide the critical organizational analysis. The leadership approaches to change are transformational, transformative and include ethical and decolonizing methods. The Change Path Model of Cawsey, Deszca, and Ingols (2016) is the chosen organizational framework for leading change in this Organizational Improvement Plan. Analysis of relevant internal data presents information on student educational attainment levels, and external data describes the positive effects of increasing collective efficacy on student COLLECTIVE EFFICACY AND COACHING ii achievement and school improvement. Hall and Hord’s (2006) six functions guide the coaching process and Change Path Model implementation planning Cawsey, Deszca and Ingols (2016). Implementation is presented through a series of Plan Do Study Act cycles and supported with a plan to communicate change (Conzemius & O’Neill, 2014). Coaching to influence teacher collaboration with a greater emphasis on IQ approaches and knowledge is seen as a key pathway in the leadership model to increase collective efficacy beliefs.
Stereolithography Provides Access to 3D Printed Ionogels with High Ionic Conductivity

New ionogels (IGs) were prepared by combination of a series of sulfonate-based ionic liquids (ILs), 1-methyl-3-(4-sulfobutyl)imidazolium para-toluenesulfonate [BmimSO3H][pTS], 1-methyl-1-butylpiperidiniumsulfonate para-toluenesulfonate [BmpipSO3][pTS], and 1-methyl-3-(4-sulfobutyl) imidazolium methylsulfonate [BmimSO3H][MeSO3] with a commercial stereolithography photoreactive resin. The article describes both the fundamental properties of the ILs and the resulting IGs. The IGs obtained from the ILs and the resin show high ionic conductivity of up to ca. 0.7·10–4 S/cm at room temperature and 3.4·10–3 S/cm at 90 °C. Moreover, the IGs are thermally stable to about 200 °C and mechanically robust. Finally, and most importantly, the article demonstrates that the IGs can be molded three-dimensionally using stereolithography. This provides, for the first time, access to IGs with complex 3D shapes with potential application in battery or fuel cell technology.
DIFERENTES TEXTURAS DE SOLO SOB EFEITO RESIDUAL DA MISTURA FORMULADA DIURON + HEXAZINONE + SULFOMETURON-METÍLICO

A utilizacao de herbicidas pre-emergentes com efeito residual prolongado no solo e um dos fatores que proporcionam grande eficiencia no controle de plantas daninhas. Este estudo objetivou avaliar o efeito residual da mistura formulada diuron + hexazinone + sulfometuron-metilico em diferentes doses em solos de texturas arenosa e argilosa. Foram realizados dois experimentos, um para cada solo, adotando o esquema fatorial 2 x 8 + 1 com tres repeticoes, sendo avaliadas duas doses (0,605 + 0,170 + 0,014 e 1.072,07 + 0,302 + 0,025 kg ha-1 de diuron + hexazinone + sulfometuron-metilico, respectivamente) em oito epocas (0, 20, 40, 60, 80, 100, 120 e 140 dias, entre a aplicacao da mistura formulada e a semeadura do bioindicador) e mais um controle sem aplicacao. Aos 20 e 40 dias apos a semeadura do bioindicador Cucumis sativus realizaram-se as avaliacoes de fitointoxicacao. Utilizando o modelo log-logistico nao linear, determinou-se o t1/2 da mistura formulada para os dois solos estudados. No solo de textura argilosa obteve-se t1/2 de 101 dias, enquanto que para o solo arenoso o t1/2 da mistura formulada foi de 52 dias, para ambas as doses. O efeito residual prolongado no solo de textura argilosa pode ser uma ferramenta essencial no manejo de plantas daninhas na cana-de-acucar, por outro lado, em solos arenosos devem-se utilizar menores doses devido ao menor efeito residual da mistura e, consequentemente, evitar a contaminacao ambiental.
Dysregulated signaling pathways in Human Papilloma Virus positive oropharyngeal cancers

Smoking and infection with Human Papilloma virus (HPV) are important risk factors in head and neck squamous cell carcinoma (HNSCC). In spite of the fact that HPV-associated HNSCC patients tend to respond better to current treatment strategies than non-HPV associated HNSCC, some patients with HPVassociated HNSCC develop disease recurrences and develop distant metastases, which can be resistant to current treatment strategies. Cancer stem cells (CSCs) are believed to underlie the development of this resistant phenotype. In this study we examined the expression of CSC markers genes, as well as that of the STAT3 and Notch pathway genes in HPV-associated HNSCC patients, which we previously found to be overexpressed in glioma CSCs. Xenografts were established in immunocompromised mice from two patients (UTSCC-1 and UTSCC-2) with HPV-associated HNSCC that differed in their history of tobacco use. RNA extracted from both tumors showed high expression of SOX2, Nestin, CD133 and CD44, but the UTSCC-2 tumor from a patient with a history of heavy tobacco use showed significantly overexpressed SOX2, CD44 and CD133 compared to UTSCC-1. Moreover, UTSCC-2 significantly overexpressed many Notch pathway genes. Immunochemistry of STAT3 and pSTAT3 also showed strong expression of STAT3 and pSTAT3 in UTSCC-2 tumor. Serial transplantation of UTSCC-1 enhanced tumor formation, resulted in lung metastasis, and overexpression of STAT3 and NOTCH pathway genes. In conclusion, genes implicated in CSCs, STAT3 and NOTCH pathways are overexpressed in HPV-associated HNSCC, suggesting that these pathways may serve as novel targets for therapeutic intervention for this subset of patients. Correspondence to: Lawrence M. Pfeffer, Department of Pathology and Laboratory Medicine, Center for Cancer Research, University of Tennessee Health Science Center, 19 South Manassas Street, Memphis, TN 38163, USA, Tel: +1-901-448-7855; Fax: +1-901-448-3910; E-mail: LPFEFFER@UTHSC.EDU
Prospects of using the UFMC technology in 5G / IMT-2020 networks

Subject of investigation. The article considers the technology of frequency multiplexing with universal filtering UFMC, planned to be introduced in the fifth generation of mobile communication networks, which allows maximizing the rate of decay of the side lobes of the multi frequency signal spectrum that cause out-of-band emissions. Method. As a method of investigation, a computational experiment was chosen. Main results. The parameters of the OFDM and UFMC signals were compared to determine the gain of the UFMC technology in the occupied bandwidth of the signal spectrum, as well as the number of arithmetic operations, required to generate a data symbol compared to the OFDM technology, on the basis of which, conclusions were made about the practical application of UFMC technology in networks mobile communication of the fifth generation. Practical significance. The conducted analysis can help to select the optimal number of sub-channels in groups in order to minimize the amount of computations during the UFMC symbol generation process.
Water age in stormwater management ponds and stormwater management pond‐treated catchments

Expansion of impervious surface cover results in “flashy” hydrologic response, elevated flood risk, and degraded water quality in urban watersheds. Stormwater management ponds (SWMPs) are often engineered into stream networks to mitigate these issues. A clearer understanding of how water is stored and released from SWMPs and SWMP‐treated catchments is required to better represent these engineered systems in hydrological and water quality models of urban and urbanizing watersheds. Stable water isotopes were used to compare water age in SWMPs and SWMP‐treated catchments in an urbanizing watershed. We sampled water biweekly from two SWMPs and five stream sites with varying land cover and stormwater control in their catchments. Two inverse transit time proxies (damping ratio and young water fraction) were computed along with the mean transit time (MTT) by sine–wave fitting for each SWMP and stream site using the δ18O and δ2H data. Water entering the SWMPs was consistently older (224 and 177 days) than water in or exiting the ponds (ranging from 46 to 91 days and 39 to 67 days, respectively). This finding is likely due to a combination of groundwater infiltration into broken sewer pipes that transport water into the ponds and a bias toward baseflow sampling. At the catchment scale, detention provided by SWMPs was not found to be more significant than the interactive effects of impervious cover, surficial geology, land use proportions, and catchment size in determining MTT. Overall, surficial geology explained the most variation in MTT among the seven sites. This study illustrates the potential for isotope‐based approaches of water age to provide information on individual SWMP functioning and the influence of SWMPs on catchment‐scale water movement.
Somatization, mental health and pain catastrophizing factors associated with risk of opioid misuse among patients with chronic non-cancer pain

ABSTRACT Objective: To examine somatization, mental health, and pain catastrophizing factors as predictors of risk for opioid misuse in patients with chronic non-cancer pain. Methods: Risk for prescription opioid misuse was examined using the Current Opioid Misuse Measure (COMM). Overall, 51 patients were enrolled in the study and completed the baseline survey that assessed anxiety (GAD-7), somatization (PHQ-15), depression (PHQ-9), and pain catastrophizing indicators (PCS). Results: Overall, a high proportion of patients screened positive for anxiety (30%), somatization (73%), depression (43%), and pain catastrophizing subscales (magnification 29%, rumination 29%, and helplessness 18%). Patients who screened positive for anxiety disorder reported a significantly higher COMM score compared to those without symptoms (28.19 vs. 15.11, p < .0001). Patients with depressive symptoms also reported significantly higher COMM score compared to those without depressive symptoms (25.18, vs. 14.69, p = .0007). Those with PCS ‘magnification’ reported significantly higher COMM score (25.0), compared to those without ‘magnification’ (16.81; p = .018). Similarly, those with PCS ‘rumination’ scored higher on the COMM score compared to those without ‘rumination’ (25.9 vs 17.59, p = .038). Conclusions: These findings underscore the importance of future interventions to address mental health and pain catastrophizing symptoms when treating patients with chronic non-cancer pain for opioid misuse.
Bio-distribution of Gold Nanoparticles in Tumor Mass and Different Organs in Implanted Mice with Mammary Adenocarcinoma AM3 (in vivo study)

Nanoparticles has many properties, especially in treatment of medical field, but the controversy continues about their cytotoxicity. Hence, this research was conducted to estimate the concentration of gold nanoparticles (GNPs) in tumor and other organs such as kidney, liver, and spleen after injection GNPs by two routes, intratumor and intraperitoneal to compare between two methods in mice implanted with mammary adenocarcinoma for 28 days. Atomic Absorption Spectroscopy was used to measure the GNPs concentrations. The results revealed that the GNPs concentrations were significantly (P≤0.05) increased (3.75±1.75, 2.42 ±0.31 ppm) in kidney tissue after intratumor and intraperitoneal administration, respectively, when compared to the other organs (liver and spleen), followed by tumor mass (2.66±0.01, 1.09 ±0.06 ppm) in tissue. While the concentrations of GNPs in spleen and liver were (1.40 ±0.33, 0.726 ±0.01) and (0.602 ±0.03, 0.517 ±0.02) after intratumor and intraperitoneal administration respectively. Also, the experiment showed that the injection by intratumor was more efficient than intraperitonial method for tumor treatment, so, the nanoparticles were cleared by responsible lymphoid organs of body.
Considering Sub-graph Structure in Representation Learning

Representation learning aims to encode knowledge graphs into a low-dimensional vector space. However, since both the out-degree and in-degree of the entities in the knowledge graph follow the power-law distribution, only a small number of entities with higher frequency play a key role in training process, while the others have less effect. This leads to a more serious problem of data sparsity. In this paper, we propose two knowledge graph representation learning models for sub-graph structure fusion. Based on the original model, our models are trained by incorporating the sub-graph structure during training process. By incorporating the sub-graph information into the representation learning model, the structural associations between different relations can be incorporated while considering the semantic association between entities. So that the entities and relations can be modeled more accurately, and the data sparsity problem of the knowledge graph representation learning model can be alleviated effectively.
Insecticide susceptibility of Culex pipiens pallens (L.) and Aedes albopictus (Skuke) to five commonly used pesticides in the Republic of Korea

Field collected populations of two mosquito species, Culex pipiens pallens and Aedes albopictus, were tested for susceptibility to five pyrethroid insecticides using a topical application bioassay. The laboratory strain of Cx. pipiens pallens (KS‐CP) demonstrated the most and the lowest susceptibility to deltamethrin and d‐cis/trans prallethrine with LD50 values of 0.00022 μg/♀ and 0.00178 μg/♀, respectively, while Ae. albopictus (KS‐AL) showed the greatest and the lowest susceptibility to phthalethrin and deltamethrin with LD50 values of 0.00015 μg/♀ and 0.00085 μg/♀, respectively. Cx. pipiens pallens (JF‐CP) collected at a nearby rice field in Jeonju showed the greatest susceptibility to deltamethrin (LD50 value of 0.0473 μg/♀) and the resistance ratios (RRs) and compared to the laboratory strain were 215 fold greater. JF‐CP demonstrated the lowest susceptibility to d‐cis/trans phenothrin (0.7697 μg/♀) with RRs 711.0 fold greater than the KS‐CP. An Ae. albopictus (JF‐AL) collected at a nearby forest in Jeonju showed the highest susceptibility to deltamethrin (0.00203 μg/♀) with RRs 2.4 fold greater than the KS‐AL. JF‐AL demonstrated the lowest susceptibility to d‐cis/trans prallethrine (LD50 value 0.00646 μg/♀) with RRs 9.4 fold greater than the KS‐AL. JF‐AL demonstrated the greatest resistance to phthalethrin with RRs 39.3 fold greater than the KS‐AL. Resistance ratios of Cx. pipiens pallens between field and laboratory strains ranged from 215.0 to 711.0 and Ae. albopictus ranged from 2.4 to 39.3. These results indicate that the choice of effective insecticides to selected species of mosquito populations will result in more effective control against field strains of mosquito vectors and decrease environmental pollution.
The complete mitochondrial genome of Lasiopodomys brandtii

Abstract In this study, the complete mitochondrial (mt) genome sequence of Lasiopodomys brandtii was determined using Illumina NovaSeq platform. The assembled genome was 16,557 bp in length and included 13 protein-coding genes, 2 ribosomal RNA genes, and 22 transfer RNA genes. The total nucleotide composition frequencies present clearly the A-T skew (59.5%), which mostly in D-loop and PCGs regions. Whole mt genome phylogenetic analysis revealed a closely related among Lasiopodomys, Proedromys, and Microtus with high support. It would provide further evolutionary research for the subfamily Arvicolinae.
Context matters: how internal and external factors impact servitization

Abstract The study investigates how internal and external context factors impact a manufacturer’s servitization process (i.e. the strategic transformation from competing through products towards competing through services). A theoretical framework was developed that integrates a multi-stage conceptualisation of servitization with a focus on the wide range of internal and external context factors that support or oppose the transformation. The study draws on the collective experiences of 25 senior executives from 17 servitizing small- and medium-sized manufacturers, using a focus group-based enquiry method. The findings recognise servitization as a multi-stage transformation process with each stage being exposed to different context factors. The findings identify a wide range of context factors and show how their specific impact varies depending on the manufacturer’s servitization stage. Several theoretical and practical implications are provided.
DEA Model with Hesitant Fuzzy Polyhedral Set in Benchmarking

Data Envelopment Analysis (DEA) method is a linear programming approach that has been widely used as a framework for evaluating efficiency and measurement. DEA decision making is often faced with situations where the existing DMU has input and output that contains fuzzy and hesitant elements so that it is difficult to make efficiency measurements. This study will design a DEA model in the state of inputs and outputs that contain hesitant elements by using polyhedral uncertainty sets. The results of this study are expected to produce a benchmarking model with DEA that can overcome the hesitant element and have the advantage of using a polyhedral uncertainty set that can measure the linearity of the nominal problem.
Reduced Permanent Deformation of Asphalt Pavement by Enhancing Aggregate Gradation

Permanent deformation (rutting Phenomena) of asphalt mixes is considered as one of the major forms of distress that affects the performance of flexible pavement structures. Many factors can cause permanent deformation to occur in asphalt mixtures, but aggregate gradation is one of the key factors responsible for this deterioration. In this study, aggregate structure was designed using the Bailey method. Eight aggregate gradations were used to analyze their effect on rutting resistance of asphalt mixtures. Three additional mixes were then designed using Styrene Butadiene Styrene (SBS) as a modifier to improve the rutting resistance. Three percentages of SBS, namely (2 %, 4 % and 6 %) by weight of asphalt cement, were mixed for 60 min at a temperature of 180°C using a shear mixer with a rotation speed of 3000 rpm. The asphalt mixtures were subjected to rutting test using a wheel tracking device at an air void level of 4% corresponding to optimum asphalt content. The results showed that the Bailey method maintained good resistance to permanent deformation as compared to conventional mixes. Overall, mixes with coarser gradation (Bailey Parameter, CACUW, greater than 95 %) and 4% SBS modified asphalt produced more resistance to rutting.
Measurement of Executive Functioning Using a Playful Robot in Kindergarten

Abstract We explored the potential of a robotics application in education as a measurement tool of child executive functioning skills. Sixty-five kindergarteners received assignments to go through a maze with a programmable robot, the Bee-Bot. Via observation we quantified how they solved these tasks. Their performance was successfully aggregated into a latent variable, which was used to predict the outcomes on standardized tasks that measure executive functioning. The latent variable significantly predicted performance on several tasks that measure problem-solving abilities, memory, visuospatial abilities and attention. It did not significantly predict pencil-and-paper tasks that measured visuospatial ability and nonverbal or design fluency. This study showed that it is possible to use a playful robotics task to obtain information on children’s ability. We recommend more research on using diverse robots in larger samples with different age groups to further explore the possibilities of robots as a test instrument.