Miracle-dz/UniFAR-FTUs huggingface dataset:
Five phototrophic Scrippsiella species lacking mixotrophic ability and the extended prey spectrum of Scrippsiella acuminata (Thoracosphaerales, Dinophyceae)

Mixotrophic dinoflagellates act as primary producers, prey, and predators in marine planktonic food webs, whereas exclusively autotrophic dinoflagellates are primary producers and prey. Species of the dinoflagellate genus Scrippsiella are commonly found in marine ecosystems and sometimes cause harmful red tides. Among the 28 formally described Scrippsiella species, S. acuminata has been found to be mixotrophic and two unidentified species have been found to be mixotrophic. To determine whether the other species in this genus are similarly mixotrophic, the mixotrophic ability of S. donghaiensis SDGJ1703, S. lachrymosa SLBS1703, S. masanensis SSMS0908, S. plana SSSH1009A, and S. ramonii VGO1053 was explored using 15 potential prey items, including 2-µm fluorescently labeled microspheres (FLM) and heterotrophic bacteria (FLB), the cyanobacterium Synechococcus sp. , and various microalgal prey species. The ability of S. acuminata to feed on FLM and FLB was also investigated. We found that S. donghaiensis, S. lachrymosa, S. masanensis, S. plana, and S. ramonii did not feed on any potential prey tested in this study, indicating a lack of mixotrophy. However, S. acuminata fed on both FLM and FLB, confirming its mixotrophic ability. These results lowered the proportion of mixotrophic species relative to the total number of tested Scrippsiella species for mixotrophy from 100% to 29–38%. Owing to its mixotrophic ability, S. acuminata occupies an ecological niche that is distinct from that of S. donghaiensis, S. lachrymosa, S. masanensis, S. plana, and S. ramonii.
A new theorem on finite‐time stability of stochastic homogeneous systems and its application

This paper provides a novel Lyapunov theorem on finite‐time stability of stochastic homogeneous systems. Different from the existing results, the differential operator LV$$ \mathcal{L}V $$ in this paper is not required to be negative definite and could be negative semidefinite. The obtained condition is somehow similar to the LaSalle's condition. Moreover, the existing theorem of finite‐time stability for stochastic homogeneous systems is a special case of our result. As an application of the obtained theorem, stochastic finite‐time stabilization is considered for stochastic homogeneous affine control systems. Some examples and simulations are provided to show the effectiveness of the results.
ESL Learners’ Qualitative Perspective on Learner-to-Instructor Interaction in Blended Environment

English language proficiency exceptionally verbal communication is essential in achieving Sustainable Development Goal four, which is a good quality higher education. Nevertheless, past literature reported a lack of verbal communication among the graduates of English as a second language. Due to the emphasis on technology integration in Malaysian Education Blueprint 2015-2025, blended learning has been widely implemented in most tertiary institutions. However, learners complain they face challenges during verbal communication learning, particularly in learner-to-instructor interaction in a blended environment. Therefore, this study explores the learners’ opinions regarding learner-to-instructor interaction for verbal communication learning in a blended environment. The result of this research is substantial to English language instructors, curriculum designers, and English language learners as the input provides the information to understand the phenomenon in-depth and suggestions to improve verbal communication problems in learner-to-instructor interaction in the blended learning environment. The research question this study intends to answer is “What are the informants’ opinions on learner-to-instructor interaction for verbal communication learning in a blended environment? ”. This study employed qualitative research inquiry, particularly phenomenological design, and the data was collected through semi-structured interviews, written accounts, and a focus group discussion. The data was then analyzed using thematic analysis. The findings revealed two significant themes related to the phenomenon: the roles of the instructor and the issues in the learner-to-instructor interaction as well as six sub-themes. Future studies might consider including English language instructors to obtain different perspectives.
El Amigo y El Esé: Stereotyping of the “Criminal Immigrant”

The criminal immigrant narrative (CIN) is the embodiment of stereotypes suggesting that foreign nationals are engaged in crime. Research has documented how this narrative has influenced discourse, policies, and enforcement, but none to date has addressed how the CIN affects the stereotyping and interactions of crime-involved individuals with those deemed “immigrants. ” This study draws from in-depth, semi-structured interviews of 25 individuals actively engaged in street crime from Atlanta, Georgia, to understand their beliefs regarding immigration, stereotyping of “immigrants,” and their interactions with perceived immigrants, including targeting. Our findings suggest that interviewees’ stereotypes of immigrants and their ascribed attributes are based on perceived nationality, nativity, documentation status, work ethic, criminality, and prior interactions with foreign nationals. Participants demonstrated an understanding of immigration policies from media and political rhetoric. This understanding influenced the stereotyping of immigrants as “illegal” or “doing illegal things,” shaping participants’ views of foreign nationals as vulnerable or dangerous.
Claims Management and Firm Performance of Insurance Companies in Nigeria: Moderating Effect of Marketing Factors

The study aims to analyse the effect of claims management on firm performance of insurance companies through marketing factors. The data was collected from 776 of management, senior and junior (frontline) staff of selected Insurance companies in Lagos State using a questionnaire as a data collection tool. This research uses a quantitative approach with a survey method. Respondents were selected from the the 20 registered insurance companies across composite, general and life Insurance businesses in Lagos State through a stratified ransom sampling technique. The collected data were analysed using hierarchical regression analysis (HRA) to test hypothesis and evaluates the regression model specified. The collected data were analysed using hierarchical regression analysis (HRA) to test hypothesis and evaluates the regression model specified. The findings indicates that marketing factors significantly moderated the effect of claims management practices on firm performance of selected Insurance Companies (β = -0.009, R2∆ = 0.002; F∆ = 17.928, p < 0.05). The study concludes that marketing factors moderated the effect of claims management practices on firm performance of selected Insurance Companies in Lagos State. The study therefore recommends that the management of selected insurance companies in Lagos State focus on creating a positive marketing factor that bolsters claims management practices to achieve a sustainable performance in the industry. This may involve developing marketing policies and training that encourage employee involvement, job satisfaction, and a positive working environment.
Compact UWB bandpass filter with sharp roll‐off using APCL structure

In this letter, a quintuple-mode bandpass filter for a UWB system with improved performance is presented. The presented filter is implemented with asymmetric parallel-coupled lines loaded open stub and short stub connected at the symmetrical plane of the filter to increase its frequency selectivity. Five resonant frequencies within the UWB band and two transmission zeros at the lower and upper passband/stopband edges are observed. A filter prototype is fabricated for verification and the experimental data are corresponding well with the simulated results. The proposed filter achieves a bandwidth that can exactly cover the whole UWB frequency band. Moreover, this filter has a compact size (0.645λ g × 0.318λ g) and low insertion loss.
Formation Control with Mismatched Orientation in Multi-Agent Systems

In formation control problems, the orientation information of an autonomous agent may suffer from measurement errors among sensors, e.g., gyroscopes drifts, calibrate data errors and communication link failures. These measurement errors may lead to some changes of the positions of agents such that the specified formation of all agents cannot be achieved. This paper investigates the formation control problem of multi-agent systems, where each agent has orientation measurement errors when moving forward in a three-dimensional space. Such orientation measurement errors can be considered as rotation behaviors of agents, and we call this phenomenon mismatched orientation. To analyze the formation control problem with mismatched orientation, the position and velocity information of multi-agent systems is tackled by utilizing the Hajnal inequality and several mathematical techniques. The derived results reveal that the actual final formation of multi-agent systems is distorted from the desired position and can asymptotically approach to some local spheres. Based on the derived results, a distributed compensation control strategy is then applied to dealing with the formation control problem under mismatched orientation to achieve the specified shape. Subsequently, an example validates the effectiveness of our results.
Symmetry breaking induced mode splitting based on a plasmonic waveguide system

Mode splitting is numerically predicted in a symmetry breaking plasmonic waveguide system, which consists of a metal–insulator–metal structure with a square cavity. By introducing a baffle in the square cavity, the anti-symmetric waveguide mode is excited and the transmission properties analyzed in detail. Simulation results show that we can obtain a longer resonant wavelength by only increasing the length of the baffle. Using the relationship between the length h and resonant wavelength λ, we can get a resonant cavity with a quality factor (Q-factor) as high as Q ≈ 150. Furthermore, a compact 1 × 2 plasmonic wavelength demultiplexer is successfully achieved without increasing the total size of the structure, which is very conducive to integration. In addition, a refractive index sensor with a high sensitivity about 1320 nm/RIU is also realized. When the lateral symmetry of the structure is broken, the anti-symmetric waveguide mode splits into two high-order modes, and a typical Fano profile is also achieved. Our compact plasmonic structure may have potential applications in nanoscale optical switching, nanosensors, nanolasers, wavelength demultiplexers and slow-light devices in highly integrated optical circuits.
Growth of Gram-Negative Bacteria in Antiseptics, Disinfectants and Hand Hygiene Products in Two Tertiary Care Hospitals in West Africa—A Cross-Sectional Survey

Antiseptics, disinfectants, and hand hygiene products can act as reservoirs of Gram-negative bacteria causing healthcare-associated infections. This problem is rarely documented in low- and middle-income countries, particularly in sub-Saharan Africa. In a cross-sectional survey, we assessed the bacterial contamination of antiseptics, disinfectants, and hand hygiene products in two university hospitals in Burkina Faso and Benin. During ward visits and staff interviews, in-use products were cultured for the presence of Gram-negative bacteria. The growth of Gram-negative bacteria was absent or rare in alcohol-based products, povidone iodine, and Dakin solution. Contamination was highest (73.9% (51/69)) for liquid soap products (versus antiseptic/disinfectants (4.5%, 7/157) (p < 0.0001)), mostly used in high-risk areas and associated with high total bacterial counts (>10,000 colony-forming units/mL). Contaminating flora (105 isolates) included Enterobacterales and the Vibrio non-cholerae/Aeromonas group (17.1%) and non-fermentative Gram-negative rods (82.8%). Multidrug resistance was present among 9/16 Enterobacterales (Klebsiella and Enterobacter spp.) and 3/12 Acinetobacter spp. , including carbapenem resistance (Acinetobacter baumannii: NDM, Pseudomonas stutzeri: VIM). The risk factors for contamination included the type of product (cleaning grade and in-house prepared liquid soap), use of recycled disposable containers and soft drink bottles, absence of labeling, topping-up of containers, dilution with tap water (pharmacy and ward), and poor-quality management (procurement, stock management, expiry dates, and period after opening).
The Comparison of Classical and Bayesian Bivariate Binary Logistic Regression Prediction for Unbalanced Response (Case Study: Customers of Antivirus Software 'X' Company)

The purpose of this study was to compare the performance of classical bivariate binary logistic regression and Bayesian bivariate binary logistic regression. The sizes of sample used in research were small and large sample. The size of the small sample was 200 and the large sample was 10000 samples. Parameter estimation method that often used in logistic regression modeling is maximum likelihood which is called the classical approach. However, using a maximum likelihood parameter estimation has several weaknesses. When the number of sample is small and the dependent variable is unbalanced, bias parameters are frequently obtained. Nevertheless, when the sample size is too large, it has propensity to reject H0. As the solution, the use of Bayesian approach to overcome the small sample size problem and unbalanced dependent variable is suggested. The case study carried out in this research was customer loyalty of 'X' Company. This study used two dependent variables, i.e. Customer Defections and Contract Answer. Initial information on the number of consumers who defected and not defected was unbalanced, likewise for the Contract Answers. Based on the comparison of classical and Bayesian bivariate binary logistic regression prediction, Bayesian method was evidenced to yield better performance compared to classical method.
Sales Volatility, Operating Cash Flow Volatility, Debt, and Firm Size on Future Earnings Persistence

This study aims to find out the impact of sales volatility, operating cash flow volatility, debt, and firm size on earnings persistence in agricultural sector companies listed on the Indonesia Stock Exchange for the period 2009-2022. The sample in this study is 14 companies using the purposive sampling method. This type of research is quantitative research. The analytical tool used was SPSS with multiple linear regression testing. The results of the tests carried out are that sales volatility has a negative and insignificant effect on future earnings persistence, conversely, the volatility of operating cash flows and debt has a positive but not significant impact on future earnings persistence, but firm size have positive effect on future earnings persistence in agricultural sector companies listed on the Indonesia Stock Exchange for the 2009-2022 period. Suggestions can be submitted to management to monitor the company's sales value so that there are no significant changes in a very short period of time, and avoid recording errors or manipulation of the company's sales value.
Establishing Evidence for Internal Structure Using Exploratory Factor Analysis

ABSTRACT Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making provided.
Patellar Tendon Reconstruction Using Peroneus Longus Tendon Autograft Following Revision Knee Arthroplasty: A Case Report

Patellar tendon rupture is a rare but serious complication resulting in loss of knee extension that may develop during and after total knee arthroplasty and negatively affects the patient's quality of life. There are a number of surgical options available, from primary repair to reconstruction. Peroneus longus tendon autograft has begun to be used for knee extensor mechanism repair in recent years. In this case report, we aimed to present the case of a patient with traumatic patellar tendon rupture after revision knee arthroplasty. In conclusion, patellar tendon reconstruction using peroneus longus tendon autograft can be considered a successful method in selected patients following knee arthroplasty. It allows early rehabilitation via stable graft fixation and provides good clinical and functional outcomes in the late period.
Onset of Guillain-Barre Syndrome and Transverse Myelitis Following COVID-19 Vaccination

Guillain-Barre syndrome (GBS) and transverse myelitis (TM) are both neuro-inflammatory disorders that are attributed to dysfunctions of the peripheral nervous system and spinal cord, respectively. The two conditions involve immune-mediated destruction and inflammation of the nervous system and may present clinically as a weakness in the muscles, loss of normal sensations, and even paralysis of the body or extremities. Although the incidence of GBS and TM is quite rare, there have been reports of the two diseases developing in patients, either independently or concurrently, following COVID-19 vaccinations. In this case report, we present a patient (male) who lost functions and sensations in his lower extremities 60 days after he received the COVID-19 booster vaccine. The patient’s blood work was unremarkable. Magnetic resonance imaging (MRI) of his thoracic spine and an electromyography study revealed evidence of nerve demyelination, which supports the diagnosis of GBS/TM overlap syndrome. He was ultimately treated with intravenous immunoglobulins (IVIGs) and gained back functions in his lower extremities.
Exciton-phonon coupling in a CsPbBr3 single nanocrystal

We have performed micro-photoluminescence measurements on a single CsPbBr3 nanocrystal (NC) with a size comparable to the Bohr diameter (7 nm). When the NC has an orthorhombic crystal symmetry, we observe an exciton fine structure composed of three peaks linearly polarized. We took advantage of the polarization properties of micro-photoluminescence to monitor in situ both the energy and linewidth of individual peaks when increasing temperature. We reveal that two regimes exist, at low and high temperature, which are dominated by acoustic or longitudinal optical phonon (Frohlich term) couplings, respectively. The acoustic contribution does not change when the energy of the excitonic transition varies in the range of 2.46–2.62 eV, i.e., with NC sizes corresponding to this range. We find that line broadening is mainly ruled by the Frohlich term, which is consistent with the polar nature of CsPbBr3.
Comparison of Gas–Particle Partitioning of Glyoxal and Methylglyoxal in the Summertime Atmosphere at the Foot and Top of Mount Hua

Glyoxal and methylglyoxal are important volatile organic compounds in the atmosphere. The gas–particle partitioning of these carbonyl compounds makes significant contributions to O3 formation. In this study, both the gas- and particle-phase glyoxal and methylglyoxal concentrations at the foot and top of Mount Hua were determined simultaneously. The results showed that the gaseous-phase glyoxal and methylglyoxal concentrations at the top were higher than those at the foot of the mountain. However, the concentrations for the particle phase showed the opposite trend. The average theoretical values of the gas–particle partitioning coefficients of the glyoxal and methylglyoxal concentrations (4.57 × 10−10 and 9.63 × 10−10 m3 μg−1, respectively) were lower than the observed values (3.79 × 10−3 and 6.79 × 10−3 m3 μg−1, respectively). The effective Henry’s law constants (eff.KH) of the glyoxal and methylglyoxal were in the order of 108 to 109 mol/kgH2O/atm, and they were lower at the foot than they were at the top. The particle/gas ratios (P/G ratios) of the glyoxal and methylglyoxal were 0.039 and 0.055, respectively, indicating more glyoxal and methylglyoxal existed in the gas phase. The factors influencing the partitioning coefficients of the glyoxal and methylglyoxal were positively correlated with the relative humidity (RH) and negatively correlated with the PM2.5 value. Moreover, the partitioning coefficient of the glyoxal and methylglyoxal was more significant at the top than at the foot of Mount Hua.
Effect of Hydrolyzed Lima Protein (Phaseolus Lunatus) on The Quality of Yogurt Products

This study was conducted to evaluate the quality of yogurt with partial replacement of hydrolyzed Lima protein (Phaseolus lunatus). The hydrolysis of phaseolus protein by Alcalase at the rate of 0.24 AU/g protein, at 50 °C, shaking speed of 150 rpm for 1 hour was used to receive the hydrolyzed protein. The analytical results showed that the hydrolyzed protein content had a great influence on the whey separation of yogurt. The higher the hydrolyzed protein content (0% - 2%), the higher the whey separation (39.12% - 46.6%). Besides, hydrolyzed protein also contributed to shortening yogurt fermentation duration. The results of rheological analysis of yogurt samples showed that the yogurts partially replaced with hydrolyzed Lima protein had higher viscosity and shear stress than the reference sample 1 (Ref1 - without protein replacement). Sensory evaluation results showed that yogurt samples replacing 1% hydrolyzed protein (YP1) were preferred over other replacement samples. Microbial transglutaminase (MTGase) of 1.5 IU/g protein formed a cross-link between protein molecules that improved the water holding capacity of yogurt better than the Ref1. Product YP1 has chemical composition and microbiological criteria that meet the standards of TCVN 7030:2009 (Codex stan 243-2003) about fermented milk. The technological process of the researched yogurt production is fully applicable at pilot and industrial scales.
High-rate GNSS data in seismic moment tensor inversion: application to anthropogenic earthquakes

Abstract Earthquakes are traditionally monitored by seismic networks. However, the progress in high-rate Global Navigation Satellite Systems (GNSS) observations caused them to be included as a standard supplementary tool for strong natural earthquake monitoring. Here, we demonstrate that the displacement time series obtained with high-rate GNSS data can be included as a supplementary tool for the characterization of low-magnitude anthropogenic earthquakes to monitor the dangerous impact that such tremors may have on infrastructure. We analyzed two mining tremors with magnitudes of 3.7 and 4.0, respectively, and utilized the spectral amplitudes of seismic and high-rate GNSS observations in the seismic moment tensor calculation. Our study reveals that the high-rate GNSS time series can be successfully included in moment tensor calculations and might also be crucial if there is a lack of seismic data.