Miracle-dz/UniFAR-FTUs huggingface dataset:
Advances in Bacterial Cellulose/Strontium Apatite Composites for Bone Applications

Abstract Bacterial cellulose (BC), associated with hydroxyapatite (HA), is a hybrid scaffold that shows promise for use in bone tissue engineering, owing to its osteoconductive, osteoinductive, and osteogenic properties. The hybrid material, constituted of organic and inorganic phases, can be produced by in situ or ex situ routes via three main processes: biomimetic, immersion cycles, and chemical precipitation. This composite has exceptional properties, such as biocompatibility, mechanical strength, conformability, and elasticity, due to the synergetic effect of both phases compared to the single phase. Recent studies have reported on the usefulness of this composite with regard to the adhesion, proliferation, and migration of bone cells for bone healing. The purpose of this review is to report on the state of the art of BC/HA as a hybrid membrane, presenting its synthesis process, the major properties of the single organic and inorganic phases, and their combination, as well as characterization methods, and pre-clinical and clinical studies of bone repair. We also highlight recent progress in the development of multiphasic systems (biopolymers, nanostructures, and factor growth), focusing on the addition of metal cations to improve functionality (particularly strontium).
Growth Characteristic, Mono-strain Mass Culture and Antioxidant Effects of Two Benthic Diatoms Amphora coffeaeformis and Achnanthes longipes from Korea

Amphora coffeaeformis and Achnanthes longipes are commonly found as dominant benthic microalgae in Jeju coastal water throughout the year. In order to investigate pharmaceutical uses of these diatoms, each single species was isolated with micropipette under phase contrast microscope and subcultured with synthetic seawater media which was enriched with F/2 media, trace metal solution and ). Growth characteristics of these species were also determined with different combination of salinity, nutrients concentration and temperature. Thereafter, mass culture of each species was done based on the maximum growth condition. Biomass was collected after two weeks of mass culture and freeze dried for antioxidant study. The antioxidant properties of different fractions (n-hexane, chloroform and ethylacetate) obtained by solvent fractionation of 80% methanolic extract of two microalgae were investigated for free radical, reactive oxygen species scavenging (Super oxide, Hydrogen peroxide, Hydroxyl radical and Nitric oxide), metal chelating and lipid peroxidation inhibition activities. All fractions of A. longipes showed higher (free radical) scavenging activities (n-hexane: 89.0%, Chloroform: 76.0%, Ethylacetate: 66.0%, Methanol: 90.6% and aqueous residue: 63.0%). N-hexane fraction of A. longipes showed significantly higher activity (49.0%) on nitric-oxide. Ethylacetate fraction of A. longipes and aqueous residue of A. coffeaeformis exhibited 64.0% and 75.6% metal chelating activity which was higher than commercial antioxidants (-tocopherol: 18.0% and BHT: 16.0%). The n-hexane fraction of A. coffeaeformis had 67.5% activity on . Chloroform and n-hexane fractions of A. coffeaeformis exhibited 46.2% and 47.6% scavenging effects which were closely similar to commercial antioxidants (-tocopherol: 49.2% and BHT: 58.6%). Chloroform and ethylacetate fractions of A. longipes and fraction of n-hexane and chloroform of A. coffeaeformis showed better lipid peroxidation activities than -tocopherol. These data suggest that both organic and aqueous fractions have good antioxidative compounds with different antioxidant properties.
Analysis of Click Bait Phenomena in Indonesia Online News Media: Tribunnews.com with News Value

— The purpose of this study is to find out how many news value elements are used in the article in the celebrity column that uses the click bait phenomenon in the tribunnews.com media. The research method used is descriptive quantitative content analysis. The data analysis of this study was conducted by analysing the results of nine articles obtained by random sampling. The results achieved in this study indicate that the calculation found the highest news value element contained in article number one and article number four where the two articles use five elements of news value. The conclusion of this study is that tribunnews.com uses five news items of news values in writing each article.
High speed light microLEDs for visible wavelength communication

Visible wavelength data communication is of interest for short distance chip-to-chip interconnects and free-space links such as Li-Fi, where modulated sources are incorporated in lighting systems. For the former, both high modulation bandwidth and low power consumption are critical. At Avicena, we have developed efficient high-speed light-emitting structures capable of multi-Gb/s NRZ modulation, which operate down to a few microamps of drive current. We have demonstrated a high speed and low energy optical communication links using these novel devices.
Low-Carbon Supply Chain Emission Reduction Strategy Considering the Supervision of Downstream Enterprises Based on Evolutionary Game Theory

In order to explore the issue of multi-party collaborative governance of energy conservation and emission reduction under the perspective of the low-carbon supply chain, the participation of downstream enterprises as an effective source of local government supervision is included in the selection of low-carbon behaviors of suppliers. First, this paper establishes a tripartite evolutionary game model among local governments, suppliers and downstream enterprise groups. By calculating and copying dynamic equations, the asymptotic stability analysis of the three parties of the game is performed and the stability of the Jacobian matrix proposed by Friedman is used to analyze the local stability of the model equilibrium point and the evolutionary stability strategy of the system. Secondly, the evolution results and evolution paths of the model under different strategies are simulated by system dynamics and the influence of different parameters on the main body selection strategy of the tripartite game is analyzed. Finally, the paper puts forward corresponding policy suggestions from the perspectives of local government, suppliers and downstream enterprises in order to provide new ideas for the governance of China’s environmental problems from the perspective of low carbon.
CRISPR technology incorporating amplification strategies: molecular assays for nucleic acids, proteins, and small molecules†

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-associated (Cas) protein systems have transformed the field of genome editing and transcriptional modulation. Progress in CRISPR–Cas technology has also advanced molecular detection of diverse targets, ranging from nucleic acids to proteins. Incorporating CRISPR–Cas systems with various nucleic acid amplification strategies enables the generation of amplified detection signals, enrichment of low-abundance molecular targets, improvements in analytical specificity and sensitivity, and development of point-of-care (POC) diagnostic techniques. These systems take advantage of various Cas proteins for their particular features, including RNA-guided endonuclease activity, sequence-specific recognition, multiple turnover trans-cleavage activity of Cas12 and Cas13, and unwinding and nicking ability of Cas9. Integrating a CRISPR–Cas system after nucleic acid amplification improves detection specificity due to RNA-guided recognition of specific sequences of amplicons. Incorporating CRISPR–Cas before nucleic acid amplification enables enrichment of rare and low-abundance nucleic acid targets and depletion of unwanted abundant nucleic acids. Unwinding of dsDNA to ssDNA using CRISPR–Cas9 at a moderate temperature facilitates techniques for achieving isothermal exponential amplification of nucleic acids. A combination of CRISPR–Cas systems with functional nucleic acids (FNAs) and molecular translators enables the detection of non-nucleic acid targets, such as proteins, metal ions, and small molecules. Successful integrations of CRISPR technology with nucleic acid amplification techniques result in highly sensitive and rapid detection of SARS-CoV-2, the virus that causes the COVID-19 pandemic.
Blue and green GaN-based vertical-cavity surface-emitting lasers with AlInN/GaN DBR

We demonstrated a room-temperature continuous-wave (CW) operation of the milliwatt-class single-mode blue and green VCSELs with epitaxially grown AlInN/GaN DBRs on c-plane GaN substrates. The emission wavelength and the threshold current of the blue VCSEL were 442.3 nm and 0.40 mA, respectively. The wall plug efficiency of the blue VCSEL was 13.6%, which is the highest value ever reported. Moreover, stable CW operation beyond 1,000 hours has been confirmed under 0.6 mW at 25 °C. Lasing yield in a 2 in. wafer was more than 80 percent at an average threshold current of 1 mA. Furthermore, we also succeeded in providing high performance green VCSELs. The emission wavelength and the threshold current of the green VCSELs were 514.9 nm and 2.8 mA, respectively. The optical output power was over 1.5 mW and the wall plug efficiency achieved 3.7%, which is the best record for GaN-based green VCSELs. These results will enhance the possibility of the practical use of blue and green VCSELs in the near future.
Optimum Additive Composition to Minimize Fat in Functional Goat Meat Nuggets: A Healthy Red Meat Functional Food

Optimally designed functional foods are considered the most important part of a balanced and healthy diet. Goat meat nuggets, an otherwise healthy option, are packed with undesirable saturated and unsaturated fats. The present work suggests an optimal functional formulation to reduce the surplus fat content of goat meat nuggets by adding two optimally calculated functional ingredients, namely, fenugreek leaves (FL) and psyllium husk (PH). Response surface optimization was performed to determine the optimal content of the functional ingredients (FL and PH), resulting in minimum fat content without affecting the overall acceptability (OA) and other properties representing the taste and texture (e.g., ash content, pH, crude fiber content, and moisture content) of the nuggets. Functional additives at optimum levels successfully reduced the fat content of the weight-conserved nuggets by almost 39% compared with the control nuggets. Minimal and acceptable effects were observed regarding OA and other properties representative of the taste and texture of the nuggets. An optimally designed, fat-attenuated goat meat nugget formulation is therefore prescribed, which complies with the nutritional standards of a balanced diet.
Event‐triggered adaptive tracking control of uncertain switched nonlinear systems

This article is concerned with the event‐triggered adaptive tracking control of switched systems with uncertain nonlinearities and unknown control gains. The switch can occur within two consecutive sampling instants and may trigger new events that raise the mismatch problem and bring the challenge to avoid the Zeno behavior. To address these problems, we propose a novel codesign scheme composed of a switching event‐triggered mechanism and a mode‐dependent adaptive control law. A logarithmic threshold strategy is introduced into the event triggering mechanism. The absence of Zeno is proved from its formal definition. Based on the codesign scheme, the tracking error can be steered to an adjustable neighborhood of the origin. At last, a numerical example is applied to validate the obtained results.
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

The analysis of microscopy images has always been an important yet time consuming process in materials science. Convolutional Neural Networks (CNNs) have been very successfully used for a number of tasks, such as image segmentation. However, training a CNN requires a large amount of hand annotated data, which can be a problem for material science data. We present a procedure to generate synthetic data based on ad hoc parametric data modelling for enhancing generalization of trained neural network models. Especially for situations where it is not possible to gather a lot of data, such an approach is beneficial and may enable to train a neural network reasonably. Furthermore, we show that targeted data generation by adaptively sampling the parameter space of the generative models gives superior results compared to generating random data points.
Investigating the effect of innovative storing-restoring hybrid passive ankle-foot orthosis on braking and propulsion impulse of walking in drop-foot patients: a prospective cohort study

Background: Drop foot is a disorder that is characterized by reduction in speed and the patients’ inability to propel the paretic side, which disrupts the walking patterns. Ankle-foot orthoses (AFO) are widely prescribed in these patients in order to facilitate their leg propulsion and foot clearance during the swing phase. The purpose of this study was to use the correlation between effect of innovative AFO on braking and propulsion impulse and speed, in order to interpret the innovative AFO’s influence on the paretic and nonparetic side in drop-foot patients. Methods: Ten participants with drop foot walked at their self-selected speed, in order to collect the kinetic and kinematic data. The anteroposterior ground reaction force (GRF) components were extracted from the decomposition method with an innovative storing-restoring hybrid passive AFO and compared with baseline shoes only for both paretic and nonparetic sides. Results: There is a strong correlation between the innovative AFO speed and the anteroposterior component of GRF. After that, correlation was found between anteroposterior GRF and the storing-restoring hybrid passive AFO in comparison with baseline shoes only in both the paretic and nonparetic sides. Conclusions: This study demonstrated a strong correlation during walking between speed and the propulsion and braking impulses of the anteroposterior component of GRF on both sides. Level of Evidence: Level II.
Effect of structural relaxation on crystal nucleation in a soda‐lime‐silica glass

The influence of structural relaxation on crystal nucleation has been underexplored and remains elusive. This article discusses its possible effect on the nucleation process using a stoichiometric soda- lime-silica (2Na 2 O·CaO·3SiO 2 ) glass as a model system. We show that the relaxation effect is powerful at low temperatures, close and below the glass transition, T g , and leads to a continuous increase in the nucleation rate. At any given temperature, the nucleation rate eventually reaches its ultimate steady-state corresponding to the fully relaxed supercooled liquid (SCL). However, the time to reach the steady-state is two to three orders of magnitude longer than the average relaxation time estimated by the Maxwell relation (shear viscosity / shear modulus). The proposed nucleation mechanism and model, which take relaxation into account, and related experimental results also explain the alleged “breakdown” of CNT at low temperatures reported for various glasses. It confirms a few recent papers that this apparent flaw is merely because most researchers did not prolong nucleation treatments enough to complete the relaxation process to achieve a steady state. Another remarkable result is that the actual maximum nucleation temperature, T max , is significantly lower than the previously reported values. Finally, a comparative analysis of the kinetic coefficient using viscosity versus growth velocity favors the last. These results for this soda- lime-silica glass extend and validate recent findings for lithium disilicate on the significant (but often neglected) effect of relaxation on crystal nucleation.
G-GERT network model of online public opinion reversal based on kernel and grey degree

PurposeIn recent years, online public opinion reversal incidents have been occurring frequently, which has increased the complexity of the evolution of online public opinion, and they have become a difficult issue for public opinion management and control. It is of great significance to explore the regularity of online public opinion reversal.Design/methodology/approachCombined with the grey characteristics of online public opinion information, a grey graphical evaluation review technique (G-GERT) network model is constructed based on kernel and grey degree, and the frequency, probability and time of online public opinion reversal nodes are calculated using C-marking method and Z-marking method.FindingsThroughout the online public opinion reversal events, there are all repeated outbreak nodes occurring, so the authors regard the repeated occurrence of outbreak nodes as reversal. According to the average frequency, probability and time of repeated outbreak nodes in the G-GERT network model, the authors predict the corresponding key information of reversal. It can simulate the evolution process of public opinion events accurately.Originality/valueThe G-GERT network model based on kernel and grey degree reveals the regulation of public opinion reversal, predicts the frequency, probability and time of reversal nodes, which are the most concerned and difficult issues for decision-makers. The model provides the decision basis and reference for government decision-making departments.
Building Knowledge: Giving a New Meaning to the Teaching of Chemistry in Everyday School Life

This work was developed from an Extension Project developed in the 1st year of High School, in Public Schools located in the municipality of Passos, Minas Gerais. The project aimed to assist teachers and students of the 1st year of high school in learning the discipline of Chemistry and show that the performance of experimental and playful activities help to bring the chemistry seen in the classroom to the students’ daily lives, thus making more dynamic classes. For this, the project proposed a participatory teaching methodology, through pedagogical workshops on the theoretical contents, taught in the classroom, that is, a creative and constructive teaching practice of Chemistry, different from the traditional pedagogy that values verbalization and transmission of theoretical content, decontextualized knowledge and memorization of formulas. After the practices, a questionnaire with closed questions was used to evaluate the workshops developed. The project was carried out in three public schools, focusing on acid and base themes and chemical reactions. The workshops were held between August and October 2019, four workshops were held in each school, totaling 114 students. From the activities carried out, it was possible to conclude that, the students are able to identify and assimilate the chemical contents in a playful and participatory way, arousing the curiosity for the Teaching of Chemistry.
The Status of Chemotherapy in Metastatic Breast Cancer: Insights for the Advanced Practitioner

© 2021 HarborsideTM Breast cancer is the most frequently diagnosed cancer in the United States and ranks second as the most common cause of cancerrelated death among women (Siegel et al., 2020). According to American Cancer Society (ACS) estimates, approximately 276,480 new cases of breast cancer would have been diagnosed in 2020, and greater than 42,000 deaths would be attributed to breast cancer (ACS, 2020). Although only 7% of all cancer-related deaths are from breast cancer every year, it is the leading cause of death among women between the ages of 40 and 49 years (Siegel et al., 2020). The death rate associated with breast cancer, however, has decreased by 1.3% annually from 2013 to 2017. While improvements in treatment and management coupled with early detection have accounted for the decreased death rate, as of January 2020, there were more than 3.5 million women with a history of breast cancer in the United States (ACS, 2020). Indeed, a vast majority of women with newly diagnosed breast cancer have localized or regional disease that is associated with almost 99% to 85.7% 5-year survival rates, respectively (ACS, 2020). The primary treatment goal for patients with early-stage disease is to reduce the probability of recurrence and spread with primary surgery (lumpectomy or mastectomy) of the breast and regional nodes, with or without radiation therapy and/or in conjunction with neoadjuvant and adjuvant systemic therapy. Despite the successes of these approaches, up to 30% of women with early-stage, nonmetastatic breast cancer will eventually develop distant metastatic disease, and almost 6% of newly diagnosed women have metastatic breast cancer (MBC) at diagnosis (ACS, 2020; Early Breast Cancer Trialists’ Collaborative Group, 2005). It has been estimated that more than 150,000 women are living with MBC, among whom 3 in 4 patients were initially diagnosed with earlier stage disease (Mariotto et al., 2017). Unfortunately for these women, MBC is not curable, and while meaningful improvements have been reported due to the introducJ Adv Pract Oncol 2021;12(suppl 2):3–5 Th is ar tic le is dis tri bu te d u nd er th e t er m s o f t he Cr ea tiv e C om m on s A ttr ibu tio n N on -C om m er cia l N on -D er iva tiv e L ice ns e, wh ich pe rm its un re str ict ed
Demand forecasting model analysis for Al-kufa road network

For the design of transport facilities and services, as well as for planning, expenditure, and policy development, travel demand modelling studies are important. The goal of this research is to improve and apply projected models for each stage of the Al-Kufa city travel demand forecast process that includes, in addition to the road network database, social, economic, location and land-use features. The study region is separated into four sectors to accomplish the study goal. For data collection, full interview, and home questionnaire, two methods have been used. In September 2019, the data collection began. The six-purpose trip generation models (home base work, educational, religious, social, shopping, other trips) were advanced by stepwise regression method (Multiple Linear Regression, MLR) using software SPSS version 20. The results indicated that the determination coefficient R2 for (Y) (the total number of trips is 0.88 and considered to be a very good correlation. Travel time and cost of each utility mode are the key parameters that have affected the mode option models and the gravity model used in Al-Kufa city for the trip distribution method. The assignment models for the allocation of traffic in the Al-Kufa road network for the base year of the analysis are used by the (Stochastic user equilibrium), the network suffers from high congestion with near and higher v/c links 1.
Tümör Lizis Sendromunda Hemşirelik Yaklaşımı

Tumor lysis syndrome is an oncometabolic emergency caused by rapid cell death. Tumor lysis syndrome can occur spontaneously or as a result of tumor-targeted therapy. The aim of this study is to review the literature on Tumor Lysis Syndrome and nursing care. The cancer patient should be closely monitored regarding the laboratory and clinical symptoms of tumor lysis syndrome, and preventive interventions such as adequate hydration, use of phosphate binders, uric acid-lowering treatment and reduction of the patient's potassium intake are important in high-risk patients. Oncology and intensive care nurses, who are health professionals, should classify each hospitalized cancer patient and especially those receiving chemotherapy in terms of tumor lysis syndrome risk and provide supportive care to the cancer patient.