Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary Results of Modular Embedded Tool Implementation

This work in progress paper reports on research that aims to measure student success in embedded systems upon implementing two educational hardware modules. Extending the research from Establishing Baseline Data on Student Success in Embedded Systems Education, the authors found that current projects within the Electrical and Computer Engineering curriculum at the University of New Haven do not sufficiently engage students, educate on embedded topics, nor inspire curiosity for independent learning. Courses following a traditional theoretical approach to embedded systems education do not leave a strong enough impression on students throughout their courses, nor best prepare students for the challenges of working in industry. To remedy these educational challenges, a novel series of Modular Embedded Tools (METs) has been developed to increase student competency, motivation and interest, level of independent ability to complete project assignments, their connection of embedded systems to other disciplines, and student readiness to solve real-world problems. Each tool has a design function targeting specific aspects of electrical engineering and embedded systems. Accompanying each designed tool are a series of projects to educate on the targeted subject. This paper presents data collected from the 2022-2023 academic year, highlighting the result of administration of new projects utilizing circuit boards named MET1155 and MET2230. Each of these tools focuses on a particular aspect of electrical engineering and embedded systems. MET1155 educates on digital systems concepts and general-purpose input and output manipulation and was implemented in the course titled Digital Systems: Logic Design. MET2230 educates on operational amplifiers and analog-to-digital conversions and was implemented in the course titled Fundamentals of Analog Circuits. Both modules were also introduced in the course titled Embedded Systems: Microcontrollers. The data was collected through surveys and semi-structured interviews administered within those courses. The findings show that utilizing these tools resulted in an increase from the baseline dataset in student motivation, engagement, and ability to problem solve utilizing embedded systems. Resulting from these findings, the data presented has informed the next step of expanding the quantity of tools to cover additional embedded topics.
Ameliorative Effect of Enhydra fluctuans on Liver Damage in Diabetic Rats

Diabetes mellitus and insulin resistance cause harm to the liver. In this study, ameliorative effect of Enhydra fluctuans on liver damage in alloxan-induced diabetic rats were examined. Thirty acclimatized male albino rats divided into six groups (n = 5). Normal rats were fed a standard diet (Group 1); diabetic rats were provided standard feed (Group 2); diabetic rats were fed standard feed and glibenclamide (Group 3); and diabetic rats were fed standard food and fractions of n-hexane E. fluctuans 57.03, 114.06, and 171.09 mg/kg, respectively (Group 4, 5 and 6). For 21 days, rats were fed the n-hexane fraction orally. On day 1 and day 21 of treatments, blood sugar levels were measured. The histophatology of the liver, serum glutamic oxaloacetic transaminase (SGOT) and serum glutamic pyruvate transaminase (SGPT) level were estimated. At a dosage of 57.03 mg/kg was substantially (p < 0.05) beneficial in decreasing blood sugar and SGOT. The n-hexane fraction of E. fluctuans ameliorated liver damage in diabetic rats and avoided diabetes complications, according to our findings. As a result, E. fluctuans has a considerable amount of potential as a novel diabetic therapy. Keywords: Diabetes, Enhydra fluctuans, Insulin resistance, Liver cells regeneration.
Mergers in Sharia Banking and Their Impact on Employee Performance: The Role of Self-Efficacy and Affective Commitment as Moderating

Human resources are one of the main aspects of an organization. Having quality resources can affect the success of an organization. Therefore, companies need to improve employee performance, one of which is by making organizational changes. This study aims to determine the effect of organizational change on employee performance moderated by self-efficacy and affective commitment. This research applied a qualitative method, and the questionnaire data involved 155 respondents from an unlimited total population. The analysis used in this study is the Structural Equation Modelling (SEM) method based on variance, namely Partial Least Square (PLS). The results of the study showed a significant effect between organizational change and employee performance. The affective commitment variable was also able to moderate the effect of organizational change on employee performance, while self-efficacy was not able to moderate the effect of organizational change on employee performance.
Selective Response of the South China Sea Circulation to Summer Monsoon

AbstractThe response of the South China Sea (SCS) circulation to intraseasonal variability of the summer monsoon is studied with both observations and a 1.5-layer reduced-gravity model. Intraseasonal variability of the SCS summer monsoon is characterized by evolution of the wind jet intensity in the midbasin with typical amplitude of 6 m s−1 and several peaks on its power spectrum between 10 and 60 days. However, this study finds that intraseasonal variability of the sea surface height (SSH) in the SCS presents significant variability to the southeast of Vietnam with amplitude of 6 cm and a period only between 40 and 60 days. This implicates the frequency selectivity of oceanic response to wind forcing. Numerical experiments suggest that the intrinsic variability of the SCS circulation accounts for this phenomenon. Based on the Rossby basin mode theory, this is explained by the interaction between the long, westward-propagating Rossby waves and the short, eastward-propagating Rossby waves.
The Role of Social Media Utilization and Innovativeness on SMEs Performance

Companies that want to survive in the era of information technology disruption characterized by hyperconnected business operations must quickly adopt social media technology. The problems faced by the business sector often delay the use of today's business models due to high anxiety. In fact, the role of digital marketing through the use of social media is very large. So, the company’s main key in responding to and seizing opportunities from this upheaval is innovation. The purpose of this study is to determine the effect of social media and innovation on SME business performance. The diffusion of innovations theory is used in this study as an affirmation that the implementation of technological innovation by SMEs is driven by the characteristics of innovation and organizational characteristics, bearing in mind that the current research unit of analysis is SMEs, namely organizations. In this research, to acquire a better understanding of the relationship between variables, quantitative approaches based on variance Structural Equation Modeling (SEM) and Partial Least Squares (PLS) were applied. Respondents were drawn from SMEs in the food and beverage sector in Surabaya, Indonesia, via an online questionnaire. The findings of this study provide positive and significant evidence between the role of social media utilization and innovativeness on SME performance. This means that SMEs in Surabaya have realized that social media is a very important tool for the success of a company. These technologies take information and knowledge sharing, interaction, and advertising to a higher level, resulting in benefits for organizations and customers. SMEs will fail and perish if they do not dare to innovate in technology.
Nonhydrostatic Dam Break Flows. I: Physical Equations and Numerical Schemes

AbstractModeling of dam break flows is frequently required in civil and environmental engineering because of the risk associated with this catastrophic flow. Typically, model predictions are conducted using the Saint-Venant hydrostatic theory, which can lead to unrealistic predictions. The prediction of the amplitude of nonhydrostatic waves generated during dam break flows is an important engineering problem given the risk of overtopping of flow in manmade canals or the increasing of flooding areas in natural watercourses. The weakly nondispersive and fully nonlinear Serre equations are a suitable choice for modeling these flows, but there is a lack of a systematic assessment of this system of equations for dam break flow modeling reported in the literature. In this paper, the Serre equations are applied to dam break flows over horizontal rigid bottoms, whereas in the second part of this research, the nonhydrostatic dam break waves over erodible beds are considered. Here, a high resolution finite volume m.
HEAVY METALS IN WATER, SEDIMENTS AND MARINE FISHES FROM BULGARIAN BLACK SEA

In this study, the ecosystem marine water-sediment-biota was investigated and the pollution was assessed. The concentrations of eight elements were determined in marine water, sediments and four fish species collected from Black Sea (Varna), Bulgaria during 2013. Marine water recorded the highest concentrations of Zn (15-22 μg/L), As (1.1–1.2 μg/L) and Pb (0.7-0.8 μg/L) while Zn (31-52 μg/g), Pb (21-29 μg/g) and Cu (20-34 μg/g) and show the highest concentrations in sediments. Water and sediments showed similar spatial distribution patterns for the highest mean values of the different metals. In the analysed fish species, the highest concentration of the metals Cu and Zn were found in Trachurus Mediterrneus (0.42 mg/kg w.w) and in Sprattus Sprattus (12.7 mg/kg w.w), respectively while the heavy metals As and Hg were found with maximum values in Pseta Maxima (3.99 mg/kg w.w and 0.08 mg/kg w.w respectively). The results from this study were compared with our data for a previous period (2004-2006) and they show decrease in the levels of heavy metal.
STATISTICAL VALIDATION OF TRIPLE COLOCALIZATION ANALYSIS

Background: in the last decades, colocalization analysis of fluorescently tagged biomolecules has proven to be a powerful approach to studying functional relationships between these biomolecules. However, in many cases, to give this analysis a biological meaning, colocalization coefficients must be tested statistically, comparing them with the colocalization expected by chance. Aim: It addressed the statistical significance of triple colocalization to distinguish real triple colocalization and classify different triple signal scenarios. Methods: we use biological and generated images of triple signal scenarios to contrast seven independent statistical facts with independent statistical tests. Three of these tests correspond to pairwise relationships (double scrambling tests), and the others correspond to triple relationships: single scrambling tests (red, green, and blue scrambling) and the triple scrambling test. The analysis and methodology proposed can be reproduced using the application developed in our laboratory. Results: In the study approach, we found true triple relationships ignored by using traditional methods of computing the statistical significance, while we could reinterpret cases of not significant triple colocalization wrongly considered as significant by traditional methods. Discussion: single scrambling tests can reveal significant triple colocalization for low levels of triple co-occurrence, even when all pairwise relationships were exclusion relationships. Moreover, on the other hand, single scrambling tests can reveal the absence of a significant triple colocalization for high levels of triple co-occurrence, even when all pairwise relationships were significant colocalization. Conclusion: all scrambling tests are useful to classify a specific scenario of a triple relationship. Dynamics like mitosis can be distinguished into their phases by triple signal relationships using these 7 independent statistical tests.
Effects of milk type, pasteurization, and in-container heating on Nabulsi cheese yield, chemical composition, and texture

ABSTRACT Nabulsi cheese is a white-brined cheese made from different types of milk using different processing methods. This research aimed to investigate the effects of the following three factors on the quality of Nabulsi cheese, milk type (cow's, goat's, and sheep's milk), milk pasteurization (unpasteurized vs. pasteurized), cheese pasteurization (traditional boiling vs. in-container heating), and their two- and three-way interactions. The effect of the first two factors on the cheese yield and those of all three factors on the chemical composition and texture profile analysis (TPA) of cheese were investigated. The type of milk significantly affected all parameters tested. Similarly, milk pasteurization affected all parameters evaluated except ash content and hardness, while cheese pasteurization affected moisture content and cohesiveness. The two-way interaction between the type of milk and milk pasteurization affected the cheese yield, chemical composition (except for protein, fat, and ash contents), and TPA. The three-way interaction significantly affected the chewiness of cheese. The type of milk had the highest effect on cheese yield, fat and ash contents, and chewiness. In comparison, the effect of the interaction between the type of milk and milk pasteurization was highest on cheese hardness, while milk pasteurization had the highest effect on the remaining tested parameters.
Associations of Heart Failure Onset Age with All-Cause Mortality: The Kailuan Study

Objective: This study was aimed at investigating the correlations between heart failure onset age and all-cause mortality. Methods: The study examined 186,249 patients treated at Kailuan Group hospitals who underwent medical evaluations between 2006 and 2018. Biennial health assessments were conducted, and, as of December 31, 2020, 4022 heart failure instances were identified. For each patient with new-onset heart failure, four control participants were randomly selected, matched for age (within ±1 year) and sex. Cox regression models were used to calculate the hazard ratios of all-cause mortality across age groups. Results: The median follow-up duration was 5.25 (2.65, 8.63) years. All-cause mortality occurred in 1783 participants in the new-onset heart failure group and 2633 participants in in the control group. Refined multivariable Cox regression analysis revealed that patients with heart failure under 55 years of age had the highest relative mortality risk, with an HR (95% CI) 6.86 (4.42–10.64) with respect to their matched controls. Moreover, the relative mortality risk systematically decreased with increasing age of heart failure onset: HR (95% CI) 4.70 (3.73–5.92) for ages 55–64, HR (95% CI) 3.23 (3.73–3.81) for ages 65–74, and HR (95% CI) 1.69 (1.48–1.94) for 75 years or older. Conclusion: Heart failure significantly elevates the risk of all-cause mortality, and the risk is more pronounced with earlier manifestation of the condition.
ULK2 Is a Key Pro-Autophagy Protein That Contributes to the High Chemoresistance and Disease Relapse in FLT3-Mutated Acute Myeloid Leukemia

We recently demonstrated that a small subset of cells in FLT3-mutated acute myeloid leukemia (AML) cell lines exhibit SORE6 reporter activity and cancer stem-like features including chemoresistance. To study why SORE6+ cells are more chemoresistant than SORE6− cells, we hypothesized that these cells carry higher autophagy, a mechanism linked to chemoresistance. We found that cytarabine (Ara-C) induced a substantially higher protein level of LC3B-II in SORE6+ compared to SORE6− cells. Similar observations were made using a fluorescence signal-based autophagy assay. Furthermore, chloroquine (an autophagy inhibitor) sensitized SORE6+ but not SORE6− cells to Ara-C. To decipher the molecular mechanisms underlying the high autophagic flux in SORE6+ cells, we employed an autophagy oligonucleotide array comparing gene expression between SORE6+ and SORE6− cells before and after Ara-C treatment. ULK2 was the most differentially expressed gene between the two cell subsets. To demonstrate the role of ULK2 in conferring higher chemoresistance in SORE6+ cells, we treated the two cell subsets with a ULK1/2 inhibitor, MRT68921. MRT68921 significantly sensitized SORE6+ but not SORE6− cells to Ara-C. Using our in vitro model for AML relapse, we found that regenerated AML cells contained higher ULK2 expression compared to pretreated cells. Importantly, inhibition of ULK2 using MRT68921 prevented in vitro AML relapse. Lastly, using pretreatment and relapsed AML patient bone marrow samples, we found that ULK2 expression was higher in relapsed AML. To conclude, our results supported the importance of autophagy in the relapse of FLT3-mutated AML and highlighted ULK2 in this context.
Thespesia lampas mediated green synthesis of silver and gold nanoparticles for enhanced biological applications

The present study investigated the synthesis and biological applications of green, economical, and multifunctional silver and gold nanoparticles (TSAgNPs and TSAuNPs) using the ethnomedical important medicinal plant Thespesia lampas for biological activities. Relatively higher levels of antioxidant components were measured in T. lampas compared to the well-known Adhatoda vasica, and Diplocyclos palmatus suggested the potential of T. lampas for the study. Synthesized TSAgNPs and TSAuNPs were characterized through UV–Vis, XRD, SEM-EDS, HR-TEM, SAED, and FTIR techniques. SEM revealed that TSAgNPs and TSAuNPs were predominantly spherical in shape with 19 ± 7.3 and 43 ± 6.3 nm crystal sizes. The sizes of TSAgNPs and TSAuNPs were found to be12 ± 4.8 and 45 ± 2.9 nm, respectively, according to TEM measurements. The FTIR and phytochemical analyses revealed that the polyphenols and proteins present in T. lampas may act as bio-reducing and stabilizing agents for the synthesis. Synthesized NPs exhibited enhanced scavenging properties for ABTS and DPPH radicals. TSAgNPs and TSAuNPs were able to protect DNA nicking up to 13.48% and 15.38%, respectively, from oxidative stress. TSAgNPs possessed efficient antibacterial activities in a concentration-dependent manner against human pathogenic bacteria, such as E. coli, B. subtilis, P. vulgaris, and S. typhi. Furthermore, TSAgNPs and TSAuNPs showed significant cytotoxicity against FaDu HNSCC grown in 2D at 50 and 100 μg mL−1. Tumor inhibitory effects on FaDu-derived spheroid were significant for TSAgNPs > TSAuNPs at 100 μg mL−1 in 3D conditions. Dead cells were highest largely for TSAgNPs (76.65% ± 1.76%), while TSAuNPs were non-significant, and Saq was ineffectively compared with the control. However, the diameter of the spheroid drastically reduced for TSAgNPs (3.94 folds) followed by TSAuNPs (2.58 folds), Saq (1.94 folds), and cisplatin (1.83 folds) at 100 μg mL−1. The findings of the study suggested the bio-competence of TSAgNPs and TSAuNPs as multi-responsive agents for antioxidants, DNA protection, antibacterial, and anti-tumor activities to provide a better comprehension of the role of phytogenic nanoparticles in healthcare systems.
Latent Heat Flux Sensitivity to Sea Surface Temperature: Regional Perspectives

AbstractA global analysis of latent heat flux (LHF) sensitivity to sea surface temperature (SST) is performed, with focus on the tropics and the north Indian Ocean (NIO). Sensitivity of LHF state variables (surface wind speed Ws and vertical humidity gradients Δq) to SST give rise to mutually interacting dynamical (Ws driven) and thermodynamical (Δq driven) coupled feedbacks. Generally, LHF sensitivity to SST is pronounced over tropics where SST increase causes Ws (Δq) changes, resulting in a maximum decrease (increase) of LHF by ~15 W m−2 (°C)−1. But the Bay of Bengal (BoB) and north Arabian Sea (NAS) remain an exception that is opposite to the global feedback relationship. This uniqueness is attributed to strong seasonality in monsoon Ws and Δq variations, which brings in warm (cold) continental air mass into the BoB and NAS during summer (winter), producing a large seasonal cycle in air–sea temperature difference ΔT (and hence in Δq). In other tropical oceans, surface air is mostly of marine origin and.
Effect of Spatial Resolution and Cumulus Parameterization on Simulated Precipitation over South Asia

This paper evaluates the ability of a regional-scale climate model to simulate precipitation over the South Asian tropical region. Experiments were conducted using three different spatial resolutions, with and without cumulus parameterization (CP), to assess the influence of horizontal mesh size and the CP on regional-scale precipitation. The experiments that used a finer mesh size but no CP improved the spatial distribution of monthly precipitation relative to that in the experiments based on a coarser spatial resolution. Meanwhile, the impact of horizontal mesh size was much less in the experiments that included the CP because an overestimation of precipitation caused by the CP strongly affected the simulation accuracy in these experiments. Regional differences in diurnal variations in precipitation intensity and frequency were captured reasonably well in the pre-monsoon season regardless of the spatial resolution, and both with and without the CP. In contrast, the diurnal characteristics of precipitation were difficult to simulate during the mature monsoon season. During both seasons, those experiments that incorporated the CP tended to predicted a continuous weak precipitation due to the excessive release of convective instability; accordingly, precipitation intensity was weaker, and precipitation frequency greater than in those experiments that did not use the CP. (Citation: Sugimoto, S., and H. G. Takahashi, 2016: Effect of spatial resolution and cumulus parameterization on simulated precipitation over South Asia. SOLA, 12A, 7−12, doi:10.2151/sola. 12A-002.)
Outbreak of Diarrhea Caused by a Novel Cryptosporidium hominis Subtype During British Military Training in Kenya

Abstract Background We report clinical, epidemiological, and laboratory features of a large diarrhea outbreak caused by a novel Cryptosporidium hominis subtype during British military training in Kenya between February and April 2022. Methods Data were collated from diarrhea cases, and fecal samples were analyzed on site using the multiplex polymerase chain reaction (PCR) BioFire FilmArray. Water was tested using Colilert kits (IDEXX, UK). DNA was extracted from feces for molecular characterization of Cryptosporidium A135, Lib13, ssu rRNA, and gp60 genes. Results One hundred seventy-two of 1200 (14.3%) personnel at risk developed diarrhea over 69 days. One hundred six primary fecal samples were tested, and 63/106 (59.4%; 95% CI, 0.49%–0.69%) were positive for Cryptosporidium spp. Thirty-eight had Cryptosporidium spp. alone, and 25 had Cryptosporidium spp. with ≥1 other pathogen. A further 27/106 (25.5%; 95% CI, 0.18%–0.35%) had non-Cryptosporidium pathogens only, and 16/106 (15.1%; 95% CI, 0.09%–0.23%) were negative. C. hominis was detected in 58/63 (92.1%) Cryptosporidium spp. –positive primary samples, but the others were not genotypable. Twenty-seven C. hominis specimens were subtypable; 1 was gp60 subtype IeA11G3T3, and 26 were an unusual subtype, ImA13G1 (GenBank accession OP699729), supporting epidemiological evidence suggesting a point source outbreak from contaminated swimming water. Diarrhea persisted for a mean (SD) of 7.6 (4.6) days in Cryptosporidium spp. cases compared with 2.3 (0.9) days in non-Cryptosporidium cases (P = .001). Conclusions Real-time multiplex PCR fecal testing was vital in managing this large cryptosporidiosis outbreak. The etiology of a rare C. hominis gp60 subtype emphasizes the need for more genotypic surveillance to identify widening host and geographic ranges of novel C. hominis subtypes.