Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Machine Learning for E-justice

Decision support systems (DSS) in law enforcement have a long history. Starting from the late 50s, they have been developed through several architectural approaches. Still, having a proven capability of DSSes to improve legal practice, the real-world application is limited due to multiple issues, including lack of trust, interpretability, validity, scalability, etc. The paper develops a service-based decision support platform for machine learning applications for eGovernance and internal policy modelling and presents a case study of the application of the platform for the case of migration law enforcement. We have developed a decision support platform a number of micro services that connect with each other asynchronously via the REST protocol. The artificial intelligence core of the platform was built upon a knowledge base, which includes machine learning models and methods. In this work we have developed a method of structuring, analysis of legal data models based on machine learning. In the course of computational experiment, the efficiency of the developed method was proved and the interpretation of the obtained results was performed to provide recommendations for the enhancement of administrative regulation.
The Relationship Between Planning and Preparation, Classroom Environment, Soft Skills and Teaching Effectiveness at Dungun Secondary Schools

Most of an organization's problems are teaching effectiveness. This problem also occurred at one of the secondary schools in Dungun. For the different and different reasons and needs, it is not easy for the organization to solve the issue of effectiveness due to each teacher. The study examined the relationship between planning and preparation, classroom environment and soft skills towards teaching effectiveness in the Dungun Secondary School. For the purposes of this study, the researcher set the Dungun Secondary School as the population studied by 90 teachers. A set of questionnaires was used as the main instrument for the purpose of data collection. The convenience sampling was selected from teachers Dungun Secondary School for this study. This is because the method for the sampling design was the most efficient. In addition, the method is easily understood and results for the entire population are projected. After a number of follow-ups, a total of 73 questionnaires was received. The Pearson correlation coefficient was used to classify factors that affect the teaching effectiveness of Dungun Secondary School. Statistically, the Statistical Package for Social Science (SPSS) was used for data analysis. The hypothesis was accepted on the basis of the findings. In order to help teachers recognize their weaknesses, the training of teachers should be improved so that they can not only learn but also increase their teaching effectiveness. The researcher hopes that the results will also benefit the organization.
CSR spillover effect: the influence of a brand’s corporate social responsibility activity on competing brands

ABSTRACT This research examines the spillover effect of information about a brand’s corporate social responsibility (CSR) activity on competing brands’ evaluations. Two experimental studies show that receiving information about a brand’s CSR activity (vs. receiving descriptive information about a brand) has a negative effect on a competing brand’s evaluations among consumers with high product category knowledge. Decreased trustworthiness perceptions of other brands in the same product category drive this effect. However, the negative spillover of a brand’s CSR information to a competing brand disappears among consumers with low product category knowledge, or if a competing brand has low brand typicality. Together, this research allows a more nuanced understanding of the spillover effect of CSR information and offers managerial implications for the strategic use of CSR activities in brands’ marketing communications.
Surface Reactions of Carbon Dioxide at the Adsorbed Water-Oxide Interface.

In this study, FTIR spectroscopy is used to investigate surface reactions of carbon dioxide at the adsorbed water-oxide interface. In particular, FTIR spectra following CO 2 adsorption in the presence and absence of coadsorbed water on hydroxylated nanoparticulate Fe 2 O 3 and γ-Al 2 O 3 at 296 K are reported. In the absence of coadsorbed water, CO 2 reacts with surface O-H groups to form adsorbed bicarbonate on the surface. In the presence of coadsorbed water, this reaction is blocked as water hydrogen bonds to the reactive M-OH sites. Instead, CO 2 reacts with adsorbed water to yield adsorbed carbonate and protonated surface hydroxyl groups, M-OH 2 + , through a proposed carbonic acid intermediate. The carbonate spectra recorded between 10 and 90% RH are nearly identical to that of carbonate adsorbed on these surfaces in the presence of the liquid water. FTIR isotope studies show that there is extensive exchange between oxygen in adsorbed water and oxygen atoms in both adsorbed carbonate and gas-phase carbon dioxide. On the basis of these experimental results along with quantum chemical calculations, a mechanism is proposed for surface reactions of carbon dioxide at the adsorbed water-oxide interface.
Interdisciplinary Analysis of the Lehi Horse: Implications for Early Historic Horse Cultures of the North American West

Although recognized as one of the most significant cultural transformations in North America, the reintroduction of the horse to the continent after AD 1492 has been rarely addressed by archaeological science. A key contributing factor behind this limited study is the apparent absence of equine skeletal remains from early historic archaeological contexts. Here, we present a multidisciplinary analysis of a horse skeleton recovered in Lehi, Utah, originally attributed to the Pleistocene. Reanalysis of stratigraphic context and radiocarbon dating indicates a historic age for this horse (cal AD 1681–1939), linking it with Ute or other Indigenous groups, whereas osteological features demonstrate its use for mounted horseback riding—perhaps with a nonframe saddle. DNA analysis indicates that the animal was a female domestic horse, which was likely cared for as part of a breeding herd despite outliving its usefulness in transport. Finally, sequentially sampled stable carbon, oxygen, and strontium isotope values from tooth enamel (δ13C, δ18O, and 87Sr/86Sr) suggest that the horse was raised locally. These results show the utility of archaeological science as applied to horse remains in understanding Indigenous horse pastoralism, whereas consideration of the broader archaeological record suggests a pattern of misidentification of horse bones from early historic contexts.
Study of the effect of the opioid antagonist "Naltrexone" on acetic acid-induced enteritis in rats

Background: Crohn's disease is a transmural, relapsing inflammatory condition affecting the digestive tract. Opioid signaling was known to affect secretion and motility in the gut and may be implicated in the inflammatory cascade of Crohn's disease. Endogenous Opioid peptides modulate inflammatory cytokine production. Opioid antagonists have been shown to play a role in healing and repair of tissues. Aim of the study: to detect the possible beneficial effects of opioid antagonist naltrexone in acetic acid-induced enteritis in rats. Animals and Methods: Mature rats are allocated into 9 groups (6 rats each). Enteritis was induced by2trans-rectal injection of acetic acid 4%(2 mg/kg). Salfasalazine (500mg/kg/day), naltrexone (0.05,0.5and one mg/kg/day), and their combination were administered orally from day 1 to day 10. Disease activity index (DAI), biochemical parameters including serum levels of CRP and TNFα, macroscopic and microscopic pathological scores, and in vitro experimental motility studies were used to evaluate the effects of the tested drugs on normal as well as model groups. Results: Induction of enteritis with acetic acid resulted in significant deterioration of DAI, significant elevation of the measured biochemical parameters, and significant deterioration of pathological scores. Treatment with sulfasalazine, low dose of naltrexone, high dose of naltrexone as well as treatment with combination of salfasalazine and naltrexone in both used doses resulted in significant improvement of all measured parameters. Also, Ach-induced contraction of isolated ileal segment showed significant decrease in untreated ones. Conclusion: The results of the present study revealed that naltrexone has the potential to ameliorate the inflammatory response to acetic acid. So opioid antagonist.
Developing Chemical Engineering Acumen through Optimization of the Chocolate Process

The United States Military Academy’s Chemical Engineering Chocolate Club increases the interest in the sciences by combining chemical engineering knowledge with the production of a consumable product, chocolate. Cadets design the chocolate process by identifying the product (such as 70% dark chocolate), ingredients, and specific process details such as mixing standards and refinement time. They extend their design to include the use of rheology and a range of rheological models for quality control and assurance.
Porous 3D polymers for high pressure methane storage and carbon dioxide capture

High surface area 3D polymers represent one of the most promising classes of porous materials because of their high gas uptake and stability to thermal and chemical degradation. A series of porous organic polymers with aromatic building units have been synthesized and compared to explore their high-pressure performance as adsorbents of gases of relevant importance for energy and the environment. Particular attention was paid to methane storage up to pressures as high as 180 bar at ambient temperature. Porous polymers were prepared starting from a wide choice of spatially expanded aromatic monomers: a systematic change in the number of rings, variable size and shape was taken under consideration. The high number of rings (up to 6), which act as multiple reactive sites and form a number of connections between the multi-dentate nodes, result in an extensive cross-linked framework. Condensation was obtained by two alternative synthetic routes, viz., Yamamoto cross-coupling and Friedel–Crafts alkylation reactions. The structural characteristics and high stability of the porous polymers, even to mechanical compression, were carefully determined by several methods, including 1D and 2D solid state NMR, FT IR and thermal analyses. The CH4 uptake in the porous polymers allowed an understanding of the incremental response to pressure, up to extremely high values, and the exploitation of the extensive pressure range to customize the gas adsorption/desorption cycles for storage and transportation. Owing to the notable presence of large mesopores and network flexibility, combined with high surface area, a remarkable gain at high pressure was achieved, ensuring a highly competitive uptake/delivery efficiency. At 180 bar, adsorption values up to 445 cm3 STP g−1 were measured for porous organic polymers such as carbazolyl- and triptycene-based materials. The benchmark of these materials PAF1 reaches the value of 916 cm3 STP g−1 of adsorbed CH4, exceeding the performance of most of the best performing MOFs, COFs and activated carbons. CO2 and N2 adsorption isotherms collected at room temperature enabled the assessment of the suitability of such polymer networks for CO2 selective separation and capture. In summary, the in-depth and extensive comparative screening within this class of materials up to high pressures provides the necessary parameters for further synthetic and applicative work.
Monitoring Urban Expansion Using Remote-Sensing Data Aided by Google Earth Engine

Urbanization is accompanied by rapid social and economic development, while the process of urbanization causes the degradation of the natural ecology. Direct loss in vegetation biomass from areas with a high probability of urban expansion can contribute to the total emissions from tropical deforestation and land-use change. Monitoring of urban expansion is essential for more efficient urban planning, protecting the ecosystem and the environment. In this paper, we use remote sensing data aided by Google Earth Engine (GEE) to evaluate the urban expansion of the city of Isfahan in the last thirty years. Thus, in this paper we use Landsat satellite images from 1986 and 2019, integrated into GEE, implementing Support vector machine (SVM) classification method. The accuracy assessment for the classified images showed high accuracy (95-96%), while the results showed a significant increase in the urban area of the city of Isfahan, occupying more than 70% of the study area. For future studies, we recommend a more detailed investigation about the city expansion and the negative impacts that may occur due to urban expansion.
Carrots or Sticks: Which Policies Matter the Most in Sustainable Resource Management?

Green growth has resulted from resource management, setting the speed for sustainable development. Eco-innovations are essential for the improvement of a firm’s performance with societal gains, demanding special attention from policy makers. This paper deals with the effect of policy actions on the enhancement of eco-innovation adoption. The Community Innovation Survey (CIS) 2012–2014 is used to estimate the impact of ‘carrots’ and ‘sticks’ on innovations with ecological benefits. In addition, the impact of a firm’s structural characteristics in ecological strategies is investigated. Regulations and taxes enhance eco-innovation, but grants are only relevant in the case of eco-innovations with external benefits. The firm dimension and non-technological innovation also increase the eco-innovation propensity. Embedding policy actions with environmental concerns will enhance social responsibility and promote resource preservation, providing waste as an economic value. The purpose of this paper is twofold. First, it aims to appraise the effectiveness of the different policy instruments applied in the adoption of innovation with ecological benefits with both internal and external benefits. Secondly, it aims to identify which firm characteristics determine these managerial strategies. Hopefully, light will be cast on the topic so that public and private decision-makers will be given recommendations for policy package design working towards smart and green growth.
Minimizing Honey Bee Exposure to Pesticides

To safely solve a pest problem, growers and pesticide applicators must be aware of the potential impacts of some pest-control strategies on bees, other pollinators, and beneficial arthropods. This 14-page fact sheet written by J. D. Ellis, J. Klopchin, E. Buss, and others and published by the UF/IFAS Entomology and Nematology Department explains the issue and provides strategies to protect honey bees and other beneficial insects from pesticides. https://edis.ifas. ufl.edu/in1027
Strengthening healthcare providers’ capacity for intra-uterine device and contraceptive implant services in humanitarian and fragile settings: a case study from Nepal using the clinical outreach refresher training model (S-CORT)

Background – Access to modern family planning methods, including long-acting and reversible contraceptives (LARCs), to prevent unplanned pregnancy is critical to avert maternal deaths in humanitarian and fragile settings, where clinicians often have limited LARC competencies. This paper explores the perspectives and recommendations of providers and trainers involved in piloting the Clinical Outreach Refresher Training for Sexual and Reproductive Health module (S-CORT) on LARCs in Nepal.Methods – Qualitative data from end-of-training evaluations, which were self-filled by 15 trainees, a focus group discussion involving 11 of them, and written feedback from five co-trainers were transcribed, coded, and thematically analyzed. Results were intersected with those from pilots held in Bangladesh and the Democratic Republic of Congo.Results – Results suggest that the module could increase participants’ counseling and clinical skills, help anchor readiness for family planning and LARC provision before humanitarian emergencies, and reinforce informed consent, service privacy and confidentiality, and access for underserved populations, including adolescents. Recommendations for improvement included the advanced provision of the learning resources for self-study to promote blended learning and avail more clinical practice time.Conclusions – When the lack of skilled human resources is a barrier to LARC services in humanitarian and fragile settings, the S-CORT strategy could offer a rapid hands-on refresher training opportunity for clinicians requiring knowledge and skills update. Such a capacity-development approach could be valuable not only for emergency response but also in contexts prioritizing disaster preparedness planning.
Edible oil from Tiger nut (Cyperus esculentus L.): mechanical pressing and aqueous enzymatic extraction methods

The tiger nut tuber of the Cyperus esculentus L. plant is an unusual storage system with similar amounts of starch and lipid. The extraction of its oil employing both mechanical pressing and aqueous enzymatic extraction (AEE) methods was investigated and an examination of the resulting products was carried out. The effects of particle size and moisture content of the tuber on the yield of tiger nut oil with pressing were initially studied. Smaller particles were found to enhance oil yields while a range of moisture content was observed to favour higher oil yields. When samples were first subjected to high pressures up to 700 MPa before pressing at 38 MPa there was no increase in the oil yields. Ground samples incubated with a mixture of α- Amylase, Alcalase, and Viscozyme (a mixture of cell wall degrading enzyme) as a pre-treatment, increased oil yield by pressing and 90% of oil was recovered as a result. When aqueous enzymatic extraction was carried out on ground samples, the use of α- Amylase, Alcalase, and Celluclast independently improved extraction oil yields compared to oil extraction without enzymes by 34.5, 23.4 and 14.7% respectively. A mixture of the three enzymes further augmented the oil yield and different operational factors were individually studied for their effects on the process. These include time, total mixed enzyme concentration, linear agitation speed, and solid-liquid ratio. The largest oil yields were obtained with a solid-liquid ratio of 1:6, mixed enzyme concentration of 1% (w/w) and 6 h incubation time although the longer time allowed for the formation of an emulsion. Using stationary samples during incubation surprisingly gave the highest oil yields, and this was observed to be as a result of gravity separation occurring during agitation. Furthermore, the use of high pressure processing up to 300 MPa as a pre-treatment enhanced oil yields but additional pressure increments had a detrimental effect. The quality of oils recovered from both mechanical and aqueous enzymatic extraction based on the percentage free fatty acid (% FFA) and peroxide values (PV) all reflected the good stabilities of the oils with the highest % FFA of 1.8 and PV of 1.7. The fatty acid profiles of all oils also remained unchanged. The level of tocopherols in oils were enhanced with both enzyme aided pressing (EAP) and high pressure processing before AEE. Analysis on the residual meals revealed DP 3 and DP 4 oligosaccharides present in EAP samples but these would require further assessment on their identity and quality.
Disposition Index (DI) is not Improved with High-Intensity Intermittent Exercise in Adults with Hyperinsulinemia and Pre-Diabetes

The progression from pre-diabetes to overt type 2 diabetes is largely attributed to β-cell dysfunction and reduced insulin responsiveness. Exercise improves β-cell function in type 2 diabetics, however in pre-diabetic populations there is no data to support a similar response to acute high intensity exercise. Nine individuals diagnosed with prediabetes [HbA1c; 6.1 (0.2)%)] underwent a resting control, a continuous exercise and a high-intensity exercise trial.
A Case Report of Bilateral Abducens Palsy in the Setting of Clival Fracture – Recovery Related to Pathophysiological Basis of Injury

ABSTRACT Head trauma resulting in clival fracture and bilateral abducens palsy is uncommon. We depict a case of bilateral abducens palsy in a 45-year-old man who, following a period of conservative management showed unilateral improvement in function which was correlated to magnetic resonance imaging findings. We review the anatomical relations of the abducens nerve as well as the potential mechanisms and pathophysiological basis for its compromise in the setting of trauma.
Cross Validation of Stress Drop Estimates and Interpretations for the 2011 Prague, OK, Earthquake Sequence Using Multiple Methods

We compare source parameter estimates for earthquakes in the 2011 Prague Mw 5.7, Oklahoma, sequence to investigate random uncertainty and systematic bias, and resolve reliable relative variations in stress drop. Source parameters provide insight into the earthquake rupture processes but large variations between studies occur. The Prague earthquake sequence is a prime example of this, with different studies reaching contrasting interpretations of the effects of injection on source parameters. We examine the Prague earthquake sequence using a single coherent catalog for all the events detected by the Oklahoma Geological Survey (OGS) and McMahon et al. (2017). We use three principal approaches to estimate stress drop in order to understand the biases of each: a spectral decomposition method based on stacking, individual event spectral modeling, and a spectral ratio method based on highly correlated events. We also compare our results with previous studies for the Prague sequences aftershocks, as well as past results for the Mw 4.8 foreshock and Mw 4.8 aftershock and Mw 5.7 mainshock. The absolute values of stress drop vary significantly between methods, but the relative patterns remain consistent, except when low quality or low bandwidth data are included. The consistent relative patterns reveal that the stress drops of aftershocks are dependent on the fault orientation and the proximity of the events to the mainshocks slip. These results indicate that fault structure as well as past events play an important role in stress drop patterns.
Effect of dietary protein level on growth, food utilization, food conversion and survival rate of giant trevally (Caranx ignobilis)

Background: Proper feed formulation is required for successful fish farming activities. Therefore, it is necessary for fish feed to provide optimal growth so that the cultivation business generates profits. Currently, there is very limited information about the appropriate feed for Caranx ignobilis, causing problems with its development. This study aims to provide feed with different protein levels to C. ignobilis. Methods: We will examine the protein levels’ effects on the daily growth rate (DGR), specific growth rate (SGR), absolute growth rate (AGR), feed conversion ratio (FCR), feed efficiency (FE), and survival rate (SR). This research was conducted for 35 days, from June to October 2017, at the Center Brackiswater Aquaculture Development (BPBAP) Ujung Batee, Ministry of Marine Affairs and Fisheries, Aceh Besar, Indonesia. This study used a completely randomized design method, with five treatment levels (30%, 40%, 50%, 60%, and 70% protein feed) and four replications. Results: The results showed that feeding with different proteins on C. ignobilis had a significant effect on the mean values ​​of DGR, SGR, AGR, FCR, FE, and SR. The 50% protein feed gave the best results for C. ignobilis, with a mean DGR value of 0.267 ± 0.005 g / day, a mean SGR of 1.722 ± 0.030% / day, a mean AGR of 0.081 ± 0.003 cm/day, a mean FCR of 1.290, a mean FE 77.755% and a mean SR was 86.667%. Conclusions: Furthermore, feed treatment with increased protein content between 30%–50% has a positive correlation with the growth of C. ignobilis. However, the ability to grow fish will decrease if the feed protein content is >50%.