Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing secondary school students’ engagement in chemistry through 7E context-based instructional strategy supported with simulation

Now days, the level of students’ engagement in secondary school chemistry is low. The aim of this study was then to enhance student chemistry engagement through simulation-integrated 7E context-based instructional strategy and compared its efficacy with 7E context-based instructional strategy, simulation-integrated conventional teaching approach, and conventional teaching approach. For the quantitative part, 15-item chemistry engagement scale was utilized to collect data from 229 grade 10 students as part of a quasi-experimental pre-/post-test non-equivalent control group design. Both descriptive and inferential statistics were utilized. Semi-structured interviews were used to collect qualitative data. The study’s findings revealed that, when compared to the other instructional strategies, the simulation-integrated 7E context-based instructional strategy was the most successful at raising students’ overall engagement and its dimensions. This study implies that implementing a simulation-integrated 7E context-based instructional strategy can boost students’ overall and individual levels of engagement in chemistry. Thus, to enhance chemistry learning, teachers may progressively move from the conventional approach to the use of simulation-integrated 7E context-based approach over the other strategies.
THE NEXUS OF BIG DATA ANALYTICS, KNOWLEDGE SHARING, AND PRODUCT INNOVATION IN MANUFACTURING

In today‘s highly competitive business environments, manufacturers face stiff competition. As digital technologies have become more pervasive, many businesses in the manufacturing sector have begun to tap into the potential of big data analytics to gain an edge in their markets. Companies in the manufacturing sector can gain a significant competitive advantage by strategically utilizing big data analytics to uncover profound insights that have the potential to significantly enhance their capabilities in product innovation. This research delves into communication’s role as a go-between for big data analytics and product innovations’ success at manufacturing firms. The validity and reliability of the measurement scales were first thoroughly examined in this study. The research model was then tested using structural equation modeling and process macro analysis. The analytical findings unveil those big data analytics exert a pronounced, positive, and statistically significant impact on product innovation performance and information-sharing dynamics. Furthermore, it is discerned that information-sharing exerts a substantial and affirmative influence on the capacity for product innovation. Additionally, it is established that the impact of big data analytics on product innovation performance undergoes moderation by the information-sharing mechanism.
AN OFFLINE PUSH NOTIFICATION FOR MOBILE DEVICE

the data. Moreover, since it is an internet-based service, and it may cause a delay in delivering the message due to internet failure or instability [4]. Thus, the development of the offline push notification which is a zero cost and not an internet-dependent service is necessary. The primary purpose of every business is minimizing the expenses to the lowest extent to increase profitability without compromising the quality [5]. The offline push notification will
Tumor characteristics, brain functional activity, and connectivity of tinnitus in patients with vestibular schwannoma: a pilot study

Background The mechanism underlying tinnitus remains unclear, and when it coexists with vestibular schwannoma (VS), it can significantly diminish the quality of life for affected patients. This study aimed to determine the correlation between preoperative clinical characteristics of VS, postoperative changes in brain function, and tinnitus in patients with VS through a cohort study. Methods We collected data from 80 patients with VS preoperatively and 28 patients with VS preoperatively and postoperatively, and recruited 28 healthy controls. We used Chi-squared tests and unpaired t-tests to identify clinical characteristics with a significant preoperative effect. We used paired t-tests to identify brain regions where patients demonstrated significant changes in amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) postoperatively. Tinnitus severity was evaluated using the Tinnitus Handicap Inventory (THI) and Visual Analogue Scale (VAS). Pearson correlation coefficients were applied to assess the relationship between the changes in ALFF and ReHo and the changes in THI and VAS scores postoperatively. We also conducted seed- and region of interest (ROI)-based functional connectivity (FC) analyses. Results Before surgery, patients with VS with tinnitus (n=49) had smaller tumors (t=3.293; P<0.001), more solid tumor (χ2=4.559; P=0.033), and less extrusion into the cerebellum brain stem (χ2=10.345; P=0.001) than those without tinnitus (n=31). After surgery, the 28 patients with VS showed a significant reduction in ALFF in the left Cerebellum_Crus2 (a lobule in the cerebellum anatomy) (ROI 1) and a significant reduction in ReHo in the left Cerebellum_Crus1 (a lobule in the cerebellum anatomy) (ROI 2) and the right precuneus (ROI 3). Conversely, ReHo was significantly increased in the right precentral gyrus (ROI 4) [cluster-level P value family-wise error (PFWE) <0.05]. The changes in ALFF values were negatively correlated with changes in the VAS score (r=−0.32; P<0.05). The FC strengths of patients between ROI 2 and the left and right posterior cingulate gyrus were significantly decreased postoperatively [false discovery rate (FDR) correction; P<0.05]. Conclusions Preoperative tinnitus in patients with VS may be influenced by tumor characteristics. The functional activities of brain regions are possibly altered postoperatively, which may be involved in the maintenance of postoperative tinnitus. Notably, the changes in ALFF are correlated with tinnitus.
Development of a Questionnaire for Measuring Trauma-Informed Care of Nurses Working with Traumatically Injured Patients

Purpose To develop a new questionnaire for assessing nurses’ current situation of knowledge, attitude and practice related to trauma-informed care (TIC) for patients with traumatic injury. Methods By literature review, qualitative interview and Delphi consultation, the 46 preliminary items about trauma-informed care of nurses working with traumatically injured patients were selected. After that, the preliminary questionnaire was distributed to 293 Chinese nurses in relevant departments. The collected data were analyzed by internal reliability, split-half reliability, structural validity and content validity. Results The questionnaire was developed with a total of 30 items in 3 dimensions: 8 items in the TIC knowledge dimension, 10 items in the TIC attitude dimension and 12 items in the TIC practice dimension. The Cronbach’s alpha coefficient was 0.939, and the content validity was 0.971. Conclusion This designed questionnaire shews receptable reliability and validity, which could be used to assess the knowledge, attitude and practice of nurses in application of trauma-informed care for traumatically injured patients.
Ameliorating effects of Acanthopanax koreanum extract and components on nicotine dependence and withdrawal symptoms

Abstract Tobacco smoking is a serious health problem in society. While smoking rates are declining, smoking remains a serious risk to national health. Currently, there are several medications available to aid in smoking cessation. However, these medications have the disadvantages of low success rates in smoking cessation and various side effects. Therefore, natural‐based smoking cessation aids are being suggested as a good alternative due to their accessibility and minimal side effects. The roots and stems of Acanthopanax koreanum (AK) Nakai, a plant that is native to Jeju Island, South Korea, have traditionally been used as tonic and sedatives. Moreover, eleutheroside B and chlorogenic acid are the main components of AK stem extract. In the present study, we investigated the effect of 70% ethanol AK extract and its components on ameliorating nicotine dependence and withdrawal symptoms by using behavioural tests in mice. In addition, alterations in the dopaminergic and DRD1‐EPAC‐ERK‐CREB pathways were observed using dopamine ELISA and western blotting using mouse brains. Our findings demonstrate that the AK extract and its components effectively mitigated the effects of nicotine treatment in behavioural tests. Furthermore, it normalized the dopamine concentration and the expression level of nicotine acetylcholine receptor α7. Additionally, it was observed that AK extract and its components led to the normalization of DRD1, ERK and CREB expression levels. These results indicate that AK extract exhibits effects in ameliorating nicotine dependence behaviour and alleviating withdrawal symptoms. Moreover, EB and CGA are considered potential marker components of AK extract.
Counter-Intuitive Effects of Q-Learning Exploration in a Congestion Dilemma

Exploration is an integral part of learning dynamics which allows algorithms to search a space of solutions. When many algorithms simultaneously explore, this can lead to counter-intuitive effects. This paper contributes an analysis of the influence that exploration has on a multi-agent system of <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-learners in a famous congestion dilemma, the Braess paradox. I find ranges of the exploration rate for which <inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>-greedy <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-learners show chaotic and oscillatory dynamics which do not converge, and yield better than Nash equilibrium results. I decouple the dynamics endogenous to <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-learning from the exogenous exploration rate <inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>, and find that <inline-formula> <tex-math notation="LaTeX">$Q$ </tex-math></inline-formula>-learners implicitly coordinate with low exploration rates <inline-formula> <tex-math notation="LaTeX">$\epsilon \in (0, 0.1)$ </tex-math></inline-formula>, but are disrupted in their coordination for larger exploration rates <inline-formula> <tex-math notation="LaTeX">$\epsilon > 0.1$ </tex-math></inline-formula>. The best implicit coordination leads to a 20% reduction in average travel times which approaches the social optimum. I discuss how our results may inform multi-agent algorithm design, fit within a cognitive science perspective of cognitive noise during learning, and provide a mechanistic hypothesis for the lack of empirical evidence of the Braess Paradox in traffic systems.
Scarring Skin: Mechanisms and Therapies

Skin injury always results in fibrotic, non-functional scars in adults. Although multiple factors are well-known contributors to scar formation, the precise underlying mechanisms remain elusive. This review aims to elucidate the intricacies of the wound healing process, summarize the known factors driving skin cells in wounds toward a scarring fate, and particularly to discuss the impact of fibroblast heterogeneity on scar formation. To the end, we explore potential therapeutic interventions used in the treatment of scarring wounds.
Improving Pea Growth and Nutrient Efficiency in Calcareous Soils through the Synergy of Organic Amendments and Chemical Fertilizers

Introduction Soil fertility in Pakistan is hindered by insufficient and unstable organic matter, leading to stagnation and a decline in overall agricultural productivity. Methodology A pot study was conducted in 2018-19 comprised of four treatments including T1 = Recommended NPK fertilizer, T2 = NPK+FYM, T3 = NPK + Poultry manure, and T4 = NPK + Plant residue based on Complete Randomized Design (CRD) and was replicated thrice. Result The results exhibited significant differences in peas’ growth, yield, and nutrient use efficiency across the organic amendments. Among them, the higher plant height (70.63 cm), pod length (9.37 cm), and pod yield (158.63 g pot-1) was observed in T3 followed by T2. Regarding nutrient concentration and uptake, both T2 and T3 treatments elevated leaf tissue levels of N (4.76% and 5.03%), P (1.01% and 0.98%), and K (2.27% and 2.31%). These values were statistically comparable, accompanied by higher but non-significant P uptake (0.61 and 0.67 g pot-1) and K uptake (1.13 and 1.21 g pot-1) for the respective treatments. Further, higher nitrogen, phosphorus, and potassium use efficiency (49.4, 5.20, and 42.0%) were recorded in T3 followed by T2. Together with that significantly positive correlation between soil properties and pod yield was found which reflects the nutrient-supplying power of soil under organic amendments. Conclusion Consequently, it is suggested that the joint utilization of organic additives of any source and chemical fertilizer is necessary for increasing yield and nutrient use efficiency over sole chemical fertilizer application in calcareous soils.
Genome-Wide Analysis of Pentatricopeptide Repeat Gene Family in Peanut and Identification of AhPPR598 Resistance to Ralstonia solanacearum

Pentatricopeptide repeat (PPR) proteins, with tandem 30–40 amino acids, were characterized as one kind of nucleus coding protein. They have been demonstrated to play important roles in RNA editing, plant growth and development, and plant immunity. Although the PPR gene family has been characterized in some plant species, less is known about this family in peanut, especially their functions in response to Ralstonia solanacearum. In this study, we performed a genome-wide analysis to identify PPR genes and their functions in resistance to R. solanacearum. Here, 389, 481, and 1079 PPR genes were identified from Arachis duranensis, Arachis ipaensis, and Arachis hypogaea, respectively. Allopolyploidization was the main reason for the increased number of the AhPPR members. Gene duplication brought about 367 pairs of homologous genes of PPRs in A. hypogaea. Whole-genome replication, tandem repeats, scattered repeats, and unconnected repeats constituted the replication types. The substitution rates of nonsynonymous (Ka) versus synonymous (Ks) of all homologous pairs were less than 1.0, suggesting that the homologous AhPPRs underwent intense purifying selection pressure and remained conserved in both structure and function. RNA-seq and RT-qPCR analyses showed that AhPPR598 gene was highly expressed in the aerial part of peanut and involved in response to R. solanacearum. The transient expression of AhPPR598 in Nicotiana benthamiana induced the HR-mediated cell death, up-regulated expression of resistant marker genes, and enhanced the resistance to R. solanacearum, suggesting AhPPR598 was a positive regulator of immunity by regulating the JA and SA pathways. These results provide a new understanding of the origin, distribution, and evolution of the AhPPR gene family and potential gene resources for peanut-resistant breeding.
Eco-Friendly Synthesis of Lipophilic EGCG Derivatives and Antitumor and Antioxidant Evaluation

Epigallocatechin gallate (EGCG) was structurally modified to obtain EGCG fatty acid esters using an eco-friendly method employing Er(OTf)3 in 2-MeTHF as the catalyst. The products were purified in short times on a large scale using VERSAFLASH HTFP station on octadecyl-functionalized silica gel. The same Lewis acid showed to be a good catalyst for the synthesis of EGCG peracetated. The EGCG derivatives were assayed for their antioxidant capacity by DPPH assay and by ROS formation using the SH-SY5Y cell line.
The influence of the local and general environment on the use and distribution of drugs by adolescents in Belgrade

The aim of this paper was to determine if there are significant differences in the variables of the local and general environment between adolescents who have not had any contact with drugs and those who use and distribute drugs. The examination of these differences was carried out on a two-stage random sample of 1286 high school students in Belgrade, of both sexes, between the ages of 15 and 19. All data were collected by a specially constructed questionnaire in a completely anonymous situation. Analysis of the data on the differences between drug-free and drug-using adolescents was performed by canonical discriminant analysis, especially for boys and especially for girls. In the difference analysis, one significant discriminative function was obtained for boys, whose canonical correlation was of the order of . 616. That function is defined by the easy availability of drugs in the local environment, but some other variables of the local and general environment also played a significant role in the structure of that function. For girls, one discriminative function was also isolated, with the correlation of . 540. That function is also defined by the ease of availability of the drug. In the structure of that function, certain differences can be observed in relation to this structure in boys. Research data undoubtedly show that when choosing preventive interventions, special attention must be paid to the form of abuse that manifests itself as the simultaneous use and distribution of drugs, and to the factors from these two environments that influence the behavior.
Introduction to Digital Rock Physics and Predictive Rock Properties of Reservoir Sandstone

Rock properties analysis (porosity, permeability, elastic modulus, and wave velocity) of the rock is important to note as one of the methods to determine the characteristics of the reservoir rock. Rock properties can calculated in conventional (laboratory), indirect (inversion of seismic waves), and digital computation (Digital Rock Physics). This paper will introduce and discuss the digital calculation/simulation and empirical equation to predict the value of the rock properties from reservoir sandstone. The data used is the samples of the data sandstone core (reservoir) subsurface in an oil field. The research method is to combine the data from a thin layer, a digital image of rocks in three-dimensional (μ-CT-Scan), and empirical approaches of the equations of permeability on rocks and Lattice Boltzmann equation. Digital image of a scanned using μ-CT-Scan used to determine value rock properties and pore structure at the microscale and visualize the shape of the pores of rock samples in 3D. The method combined with rock physics can be powerful tools for determining rock properties from small rock fragments.
Alteration effects on petrophysical properties of subaerial flood basalts : Site 990, Southeast Greenland margin

Ocean Drilling Program Hole 990A penetrated 131 m of subaerially emplaced Paleocene flood basalts on the Southeast Greenland margin with a recovery of 74%. Shipboard P-wave velocity (V p ), density, and magnetic susceptibility were measured with 2- to 15-cm intervals on the core. Individual flow units were divided into four zones based on the observed petrophysical characteristics. From the top, these are Zone I (<7 m thick with a V p of ∼2.5 km/s), Zone II (3-5 m thick with a strongly increasing V p from 2.5 to 5.5 km/s), Zone III (up to 20 m thick with a V p of ∼5.5-6.0 km/s), and Zone IV (<2 m thick with a strongly decreasing V p from 6.0 to 2.5 km/s).
The Study of Hysteretic Characteristics of FeFETs for Neuromorphic Computing Using a Closed-Form Analytical Model

The emerging ferroelectric field effect transistor (FeFET) holds tremendous potential for neuromorphic computing beyond Moore’s law, offering advantages such as high-energy efficiency, easy scalability, high-density integration, and compatibility with mainstream complementary-metal-oxide-semiconductor (CMOS) technology. In this article, we propose an analytical current–voltage ( ${I}-{V}$ ) model, which involves solving coupled Poisson, Pah-Sah, and Landau–Khalatnikov equations for long-channel double-gate FeFETs with a metal–ferroelectric–metal–insulator–semiconductor (MFMIS) structure. We rigorously validate the accuracy of our developed models through technology computer aided design (TCAD) numerical simulations and experimental data. Subsequently, we derive analytical expressions for the two critical voltages that characterize the hysteretic behavior of FeFET-based switches. Furthermore, we explore the intricate influence of voltage bias and geometrical parameters on these critical voltages, utilizing a combination of analytical expressions and SPICE simulations. The findings from this study hold significant promise in optimizing the design of FeFET-based neurons.
Impact of Pesticides on Food Quality and Human Health

This research explores the impact of pesticides on crop quality and food safety. The widespread use of pesticides is a fundamental practice in modern agriculture, aimed at protecting crops from the perils of pests and diseases. However, pesticide usage goes beyond pest control, affecting both crop quality and food safety. Studies indicate that prolonged exposure to specific pesticides, such as organophosphates, can lead to adverse changes in the aroma, taste, and nutrient content of crops, raising concerns about the nutritional value of pesticide-treated produce. Factors influencing pesticide residues, including application timing and soil characteristics, add complexity to managing residue levels in crops. Public awareness and education initiatives are crucial in addressing the potential risks associated with pesticide residues, emphasizing safe food handling practices. A critical worry is how pesticides affect people's health, with chronic health effects including neurotoxicity, carcinogenicity, and reproductive issues. Acute pesticide poisoning remains a pressing global issue, especially in regions with intensive pesticide use. Children, due to their vulnerability, are at higher risk of cognitive development issues linked to pesticide exposure. Regulatory measures play a crucial role in minimizing health impacts. Protecting vulnerable populations, monitoring long-term health effects, and promoting sustainable agricultural practices are essential steps in mitigating the adverse effects of pesticide use.
A systematic review of in-memory database over multi-tenancy

The significant cost and time are essential to obtain a comprehensive response, the response time to a query across a peer-to-peer database is one of the most challenging issues. This is particularly exact when dealing with large-scale data processing, where the traditional approach of processing data on a single machine may not be sufficient. The need for a scalable, reliable, and secure data processing system is becoming increasingly important. Managing a single in-memory database instance for multiple tenants is often easier than managing separate databases for each tenant. The research work is focused on scalability with multi-tenancy and more efficiency with a faster querying performance using in-memory database approach. We compare the performance of a row-oriented approach and column-oriented approach on our benchmark human resources (HR) schema using Oracle TimesTen in-memory database. Also, we captured some of the key advantages on optimization dimension(s) are the traditional approach, late-materialization, compression and invisible join on column-store (c-store) and row-base. When compression and late materialization are enabled in a query set; it improves the overall performance of query sets. In particular, the paper aims to elucidate the motivations behind multi-tenant application requirements concerning the database engine and highlight major designs over in-memory database for the tenancy approach on cloud.