Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceived usefulness, perceived ease of use, perceived enjoyment on behavioral intention to use through trust

The purpose of this study was to find out how perceived usefulness, perceived ease of use, perceived enjoyment, and trust affect the behavioral intention to use shopeepay users in DKI Jakarta. This research is quantitative. The survey was conducted on 160 respondents who are or have used shopeepay. Data analysis was carried out using structural equation modeling with AMOS. The results show that perceived usefulness, perceived ease of use, and trust variables have a significant positive influence on behavioral intention. However, this is different from perceived enjoyment which has a positive and insignificant influence on behavioral intention to use. This is different from perceived usefulness, perceived ease of use, and perceived enjoyment which show insignificant results if mediated by trust. Research reveals that overall trust makes the greatest contribution to behavioral intention to use, followed by perceived ease of use and perceived usefulness. So the conclusion is that companies can increase behavioral intention to use through personal information data security which is the largest contributor indicator to personal information security from hacking. The limitations in the research, among others, the limited theoretical studies up to the time of data collection, the location and research objects which only focused on e-wallet users in the DKI Jakarta area, and the number of respondents who had not reached the maximum limit that should have been.
Padina and Starčevo: game, fish and cattle

(p. 142) In 1971 Prof.Dr. R.W. Ehrich, one of the excavators of the settlement of Starcevo, asked me to study the animal remains which were collected during the excavations in 1932, 1969 and 1970. Some years later Dr. B. Jovanovic invited me to study the faunal remains which were collected during the excavation of the Late Mesolithic / Early Neolithic settlement of Padina in the Djerdap region (Iron Gate). Since both sites are situated on a bank of the Danube in Yugoslavia (fig. 1), and both are important for our understanding of the end of the Mesolithic period and the introduction of agriculture in Central Europe, I decided to review the results of both studies together.
Analysis Assessment, Psychotest, and Leadership Development for Organization Sustainability in The University

Purpose To prove by using scientific articles derived from international reputation journals by looking at whether there is really an influence between variables, research methods in the form of literature review by proving whether it is true between variables with this study, the results of this research study support the results of existing studies with variables related to this variable, but limitations in search and for researchers others to continue or use this differentiating variable as future research.
Cofiring of coal and dairy biomass in a 100,000 btu/hr furnace

Cofiring Of Coal and Dairy Biomass in a 100,000 BTU/hr Furnace. December 2007 Benjamin Daniel Lawrence, B.S. Kansas State University; Chair of Advisory Committee: Dr. Kalyan Annamalai Dairy biomass (DB) is evaluated as a possible co-firing fuel with coal. Cofiring of DB offers a technique of utilizing dairy manure for power/steam generation, reducing greenhouse gas concerns, and increasing financial returns to dairy operators. The effects of cofiring coal and DB have been studied in a 30 kW (100,000 BTU/hr) burner boiler facility. Experiments were performed with Texas Lignite coal (TXL) as a base line fuel. The combustion efficiency from co-firing is also addressed in the present work. Two forms of partially composted DB fuels were investigated: low ash separated solids and high ash soil surface. Two types of coal were investigated: TXL and Wyoming Powder River Basin coal (WYO). Proximate and ultimate analyses were performed on coal and DB. DB fuels have much higher nitrogen (kg/GJ) and ash content (kg/GJ) than coal. The HHV of TXL and WYO coal as received were 14,000 and 18,000 kJ/kg, while the HHV of the LA-PC-DBSepS and the HA-PC-DB-SoilS were 13,000 and 4,000 kJ/kg. The HHV based on stoichiometric air were 3,000 kJ/kg for both coals and LA-PC-DB-SepS and 2,900 kJ/kg
A Two‐Step Linear Model to Fill the Data Gap Between GRACE and GRACE‐FO Terrestrial Water Storage Anomalies

The Gravity Recovery and Climate Experiment (GRACE) and its Follow‐On (GRACE‐FO) missions have revolutionized global terrestrial water storage anomalies (TWSA) measurements. However, the 11‐month data gap between the two GRACE missions disrupts the measurement continuity and limits its further applications. Previous attempts to fill this data gap require further improvement in terms of method robustness and product quality. Here, we propose a novel two‐step linear model using precipitation, temperature data, and hydrological model‐simulated TWSA as predictors to fill the 11‐month data gap between the two GRACE missions and generate six global gridded GRACE‐like TWSA products from April 2002 to July 2021. These products are evaluated at grid scale globally and also basin scale for the world's largest 72 river basins. Results indicate that our GRACE‐like data show great consistency with the GRACE/GRACE‐FO observations. While most basins exhibit consistent performance across the six GRACE‐like TWSA products, certain areas with lower signal‐to‐noise ratios show significant variability. Furthermore, we assess the performance of our GRACE‐like data during the data gap using one previous reconstruction, a hydrological model simulation, and the Swarm satellite measurement. The results confirm that our GRACE‐like data exhibit equivalent performance within and outside the data gap. This study introduces a more simple and robust method for predicting the missing data between the two GRACE missions and provides readily applicable continuous GRACE‐like TWSA products for hydrologic applications.
PREDICTION OF BODY WEIGHT OF NIGERIAN NON-DESCRIPT GOATS FROM MORPHOMETRIC TRAITS USING CLASSIFICATION AND REGRESSION TREE MODEL

This study was conducted to evaluate the relationship between body weight and eleven (11) morphometric traits (body weight, body length, height at withers, rump height, chest girth, hind leg, fore leg, head length, ear length, neck length, and tail length) of non-descript goats using classification and regression tree technique. The data were generated from 120 non-descript goats randomly selected from different herds in three LGA areas of Kaduna State, North West Nigeria. Pearson’s moment correlation (r) between body weight and morphometric traits ranged from low to high values (r = 0.21-0.97; P≤0.05, P≤0.01). Based on the importance of the independent variables in predicting the body weight of goats, six body measurements namely; chest girth, body length, rump height, height at withers, head length and neck length were found to be more efficient. Thus, they were the variables entered to obtain the optimal regression tree. Among these six variables, chest circumference was found to be the primary splitting variable; and together with neck length accounted for about 84.20% of the variation in body weight. The regression tree analysis indicated that animals with chest circumference > 60.00cm and neck length >15cm could be expected to have higher body weights. This information could be exploited by livestock producers and researchers for determining the feed amount, drug dose, and market price of an animal, management, selection and genetic improvement of Nigerian non-descript goats.
Ash on snow a tool: A tool to prevent flooding?

Years with late spring in combination with thick snow-pack constitute risk for flooding. To decrease that risk, the possibility of spreading albedo-lowering material (wood ash) on parts of a basin snow has been examined. By blackening the snow more solar radiation is absorbed and the snowmelt is enhanced. If sun-exposed parts of the basin are ash-treated (before normal runoff starts) the runoff will be distributed over a longer period of time and the risk of flooding will be reduced. Wood ash in different concentrations was spread on small snow plots and melt rates and albedo were measured. For snow covered with 0.03 kg ash m −2 , the albedo was decreased from ≈ 0.60 for natural snow to ≈ 0.25, resulting in ≈ 90% more absorbed short-wave radiation. Melt on the ash treated surface, (daily average snow water equivalent), was 70% larger than melt on natural snow (12 and 7 mm d −1 respectively). A five times larger concentration (0.15 kg m −2 ) only increased the melt rate to 14 mm d −1 . The temperature-index method was shown to be inadequate for modelling the melt rate for the ash treated snow. A radiation-index model, based on absorbed incoming short wave radiation, was shown to model the melt rate better than the temperature-index method.
Combining Cardiorespiratory Signals and Video-Based Actigraphy for Classifying Preterm Infant Sleep States

The classification of sleep state in preterm infants, particularly in distinguishing between active sleep (AS) and quiet sleep (QS), has been investigated using cardiorespiratory information such as electrocardiography (ECG) and respiratory signals. However, accurately differentiating between AS and wake remains challenging; therefore, there is a pressing need to include additional information to further enhance the classification performance. To address the challenge, this study explores the effectiveness of incorporating video-based actigraphy analysis alongside cardiorespiratory signals for classifying the sleep states of preterm infants. The study enrolled eight preterm infants, and a total of 91 features were extracted from ECG, respiratory signals, and video-based actigraphy. By employing an extremely randomized trees (ET) algorithm and leave-one-subject-out cross-validation, a kappa score of 0.33 was achieved for the classification of AS, QS, and wake using cardiorespiratory features only. The kappa score significantly improved to 0.39 when incorporating eight video-based actigraphy features. Furthermore, the classification performance of AS and wake also improved, showing a kappa score increase of 0.21. These suggest that combining video-based actigraphy with cardiorespiratory signals can potentially enhance the performance of sleep-state classification in preterm infants. In addition, we highlighted the distinct strengths and limitations of video-based actigraphy and cardiorespiratory data in classifying specific sleep states.
Effect of different agricultural practices on carbon emission and carbon stock in organic and conventional olive systems

Agricultural practices, particularly land use, inputs and soil management, have a significant impact on the carbon cycle. Good management of agricultural practices may reduce carbon emissions and increase soil carbon sequestration. In this context, organic agricultural practices may have a positive role in mitigating environmental burden. Organic olive cultivation is increasing globally, particularly in Italy, which is ranked first worldwide for both organic olive production and cultivated area. The aim of the present study was to assess the effects of agricultural practices in organic and conventional olive systems on global warming potential (GWP) from a life cycle perspective and to identify the hot spots in each system. The impacts assessed were associated with the efficiency of both systems at sequestering soil in order to calculate the net carbon flux. There was a higher environmental impact on GWP in the organic system because of higher global greenhouse gas (GHG) emissions resulting from manure fertilisation rather than the synthetic foliar fertilisers used in the conventional system. However, manure was the main reason behind the higher soil organic carbon (SOC) content and soil carbon sequestration in the organic system. Fertilisation activity was the main contributor to carbon emissions, accounting for approximately 80% of total emissions in the organic system and 45% in the conventional system. Conversely, given the similarity of other factors (land use, residues management, soil cover) that may affect soil carbon content, manure was the primary contributor to increased SOC in the organic system, resulting in a higher efficiency of carbon sequestration in the soil following the addition of soil organic matter. The contribution of the manure to increased SOC compensated for the higher carbon emission from the organic system, resulting in higher negative net carbon flux in the organic versus the conventional system (–1.7 vs –0.52 t C ha–1 year–1, respectively) and higher efficiency of CO2 mitigation in the organic system.
Green Packaging as a Precursor to Sustainable Environment: Evidence From Rural India

This research aims to investigate the effect of green packaging on a sustainable environment. A double-layered complex conceptual model was developed, and the relationships between green packaging awareness (GPA), green packaging behavior (GPB), and environmental benefits were tested. A carefully crafted survey instrument was used in collecting data from 389 respondents from 41 villages in southern India. After checking the psychometric properties of the survey instrument using the LISREL package of structural equation modeling (SEM), the hypothesized relationships were tested using Hayes’s PROCESS macros. The results indicate (i) GPA and GPB are positively associated with environmental benefits and (ii) GPB mediates the relationship between GPA and environmental benefits. The findings also support the three-way interaction between GPA, green packaging initiatives (GPI), and environmental concern in enhancing GPB. The double-layered moderation tested in this research adds to the novelty of the study, thus making a unique contribution to the bourgeoning literature on sustainability.
Development of Apoptotic-Cell-Inspired Antibody–Drug Conjugate for Effective Immune Modulation

Background: Apoptotic cells’ phosphoserine (PS) groups have a significant immunosuppressive effect. They inhibit proinflammatory signals by interacting with various immune cells, including macrophages, dendritic cells, and CD4+ cells. Previously, we synthesized PS-group-immobilized polymers and verified their immunomodulatory effects. Despite its confirmed immunomodulatory potential, the PS group has not been considered as a payload for antibody–drug conjugates (ADCs) in a targeted anti-inflammatory approach. Aim: We conducted this research to introduce an apoptotic-cell-inspired antibody–drug conjugate for effective immunomodulation. Method: Poly(2-hydroxyethyl methacrylate-co-2-methacryloyloxyethyl phosphorylserine) (p(HEMA-co-MPS)) was synthesized as a payload using RAFT polymerization, and goat anti-mouse IgG was selected as a model antibody, which was conjugated with the synthesized p(HEMA-co-MPS) via 1-Ethyl-3-(3-dimethylaminopropyl)carbodiimide/N-Hydroxysuccinimide (EDC/NHS) reaction. The antibody-binding affinity, anti-inflammatory potential, and cytotoxicity measurements were evaluated. Results: We successfully synthesized ADCs with a significant anti-inflammatory effect and optimized the antibody–polymer ratio to achieve the highest antibody-binding affinity. Conclusion: We successfully introduced p(HEMA-co-MPS) to IgG without decreasing the anti-inflammatory potential of the polymer while maintaining its targeting ability. We suggest that the antibody–polymer ratio be appropriately adjusted for effective therapy. In the future, this technology can be applied to therapeutic antibodies, such as Tocilizumab or Abatacept.
Evaluation of Counteraction Potential of ZnO-NPs
and/or Piperacillin-Tazobactam against Multi-Drug
Resistant Pseudomonas aeruginosa and MCF-7
and HepG2 Cell Lines

Nanotechnology offers promising opportunities in combating infectious agents, especially multidrug-resistant bacteria (MDR), which is a major concern in modern times. Zinc oxide nanoparticles (ZnO-NPs) are effective in delivering therapeutic agents to living systems due to their biocompatibility and bioactivity, making them effective against infectious microbes and also allowing them to be
Elementary School Students' Metacognitive Awareness: PBL Study with HPC Strategy in Science Learning

The results of previous studies show that biological science learning for elementary school students is in the sufficient category. This is because teachers do not familiarize students with being trained in high-level thinking in the form of life skills, namely metacognitive awareness. Therefore, effective strategies are needed to increase students' metacognitive awareness. One model that can increase students' metacognitive awareness is the problem-based learning (PBL) model with the homogeneity psychocognition (HPC) strategy. The aim of the research is to analyze differences in elementary school students' metacognitive awareness in learning biological science using the PBL model, PBL with HPC strategies, and conventional models. This research used a quasi experiment with a pretest-posttest nonequivalent control group design. The number of samples participating in the research was 155 students where sampling was carried out randomly. The instrument used was the metacognitive awareness inventory which was adapted from the Junior Metacognitive Inventory (Jr. MAI) by Sperling et al (2002). The inventory consists of 18 questions with 9 items each on the aspects of knowledge of cognition and regulation of cognition. The research results found that there were significant differences in metacognitive awareness in the PBL learning model, PBL with HPC strategies compared to conventional learning. This research recommends that teachers can optimize PBL, as well as PBL with HPC strategies in increasing students' metacognitive awareness.
RESEARCH ON THE PREVALENCE, CLINICAL CHARACTERISTICS, AND RELATED FACTORS IN ACNE VULGARIS PATIENTS WITH DEMODEX INFECTION IN CAN THO CITY FROM 2021 TO 2023

Background: Acne is a common disorder, associated with inflammation of the sebaceous and bacterial hair follicle units and has diverse clinical manifestations. The most commonly mentioned causes and factors associated with the onset of acne in adulthood are hormones, antibiotic-resistant bacteria, and the use of drugs and cosmetics. In particular, the increase in the number of Demodex mites due to the habit of using cosmetics of unknown origin, has caused complicated clinical symptoms and difficulties in the treatment of acne today. Objectives: To determine the prevalence, clinical characteristics and some related factors in patients with acne vulgaris superinfected with Demodex. Materials and methods: A cross-sectional descriptive study with analysis was conducted on 154 acne vulgaris patients visiting medical facilities in Can Tho city in 2021-2023. Results: The study included 154 acne vulgaris patients with an average age of 22.16 ± 6.739 years old, with males constituting the majority. Among the patients, 29.87% had Demodex infestation, and 9.74% of them had a Demodex density of 5 or more mites. The majority of acne cases were of moderate or higher severity, with the most severe cases accounting for 85.7% of those with Demodex presence. Clinical features observed in patients with Demodex infestation included closed comedones (97.8%), open comedones (93.5%), papules (63%), pustules (60.9%), and cystic nodules (52.2%). Additionally, 93.5% and 91.3% of patients reported symptoms of peeling skin, but only 50% reported a feeling of ants, which appeared to be related to Demodex infection in acne patients. Furthermore, habits such as sharing towels, makeup, and wearing masks for more than 8 hours were identified as risk factors for Demodex infection. Conclusions: The presence of Demodex in acne patients is associated with a variety of clinical manifestations, including acne accompanied by skin peeling, scaling, and itching sensation. The relationship between Demodex infestation and the sensation of ants requires further investigation. Additionally, papules, pustules, and crawling sensations were also found to be related to Demodex infection. Moreover, certain habits, such as sharing towels, using makeup, and wearing masks for prolonged periods, appear to be risk factors for Demodex infection in acne patients
Positive Effects of Organic Amendments on Soil Microbes and Their Functionality in Agro-Ecosystems

Soil microbial characteristics are considered to be an index for soil quality evaluation. It is generally believed that organic amendments replacing chemical fertilizers have positive effects on changing microbial activity and community structure. However, their effects on different agro-ecosystems on a global scale and their differences in different environmental conditions and experimental durations are unclear. This study performed a meta-analysis based on 94 studies with 204 observations to evaluate the overall effects and their differences in different experimental conditions and duration. The results indicated that compared to chemical fertilizer, organic amendments significantly increased total microbial biomass, bacterial biomass, fungal biomass, Gram-positive bacterial biomass and Gram-negative bacterial biomass, and had no effect on the ratio of fungi to bacteria and ratio of Gram-positive bacteria to Gram-negative bacteria. Meanwhile, land use type, mean annual precipitation and soil initial pH are essential factors affecting microbial activity response. Organic-amendment-induced shifts in microbial biomass can be predominantly explained by soil C and nutrient availability changes. Additionally, we observed positive relationships between microbial functionality and microbial biomass, suggesting that organic-amendment-induced changes in microbial activities improved soil microbial functionality.
A Retrospective Analysis of Porcine Circovirus Type 3 in Samples Collected from 2008 to 2021 in Mexico

Porcine circovirus type 3 (PCV3) is a nonenveloped virus of the Circoviridae family. This virus has been identified in pigs of different ages and pigs with several clinical manifestations of the disease or even in apparently healthy pigs. While PCV3 was first reported in 2015, several retrospective studies have reported the virus before that year. The earliest report indicates that PCV3 has been circulated in swine farms since 1996. In this study, we evaluated the presence of PCV3 in samples collected in Mexico in 2008, 2015, 2020, and 2021. This study assessed PCV3 DNA by qPCR and antibodies against CAP protein by indirect ELISA. The results showed that PCV3 (DNA and anti-CAP antibodies) was detected in the samples collected from 2008 to 2021. The highest prevalence was in 2008 (100%), and the lowest was in 2015 (negative). Genetic analysis of ORF2 showed that the virus identified belonged to genotype a, as most of the viruses identified thus far. PCV3 was detected in samples from piglets with respiratory signs and growth retardation, sows with reproductive failure, or asymptomatic piglets and sows. Pigs with respiratory signs, growth retardation, or reproductive failure had a higher prevalence of antibodies and qPCR-positive samples. In conclusion, this study showed that PCV3 has been circulating in Mexico since 2008 and that PCV3 DNA and antibodies were more prevalent in samples from pigs with clinical manifestations of diseases.