Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of H. pylori infection indicated by their serum IgG antibodies with lymphoma malignancy

Lymphoma is a type of lymphocyte malignancy that develops in different types of lymphoid tissues, many pathogens are expected to be implicated in the establishment of the disease including Helicobacter pylori ( H. pylori ). A total of 64 B-cells lymphoma patients recruited to oncology-hematology unit in Azadi Teaching Hospital in Duhok city and 60 sex and age matched apparently healthy individuals were involved in the current study. Serum samples were collected from all subjects and tested for detecting IgG antibodies against H. pylori as an indicator for H. pylori infections. The age average was (52.5±12.4) years for lymphoma cases and (56±12.5) years for controls. IgG anti- H. pylori antibodies were found in 11/64 (17.9%) of the lymphoma patients and in 8/60 (13.3%) of the control subjects. Lymphoma cases younger than 80 years had higher prevalence of IgG anti H. pylori antibodies (28.6%) as compared with all other age categories with a significant increase compared to both age groups ˂40 years (p= 0.008), 51-60 years (p=0.04) and 61-70 years (p=0.02) respectively. No significant difference was found in the IgG anti H. pylori antibodies prevalence between the lymphoma and control subjects (p=0.087), the gender had no significant effect on the IgG anti H. pylori antibodies prevalence in both of the lymphoma and control subjects respectively and between the two groups. Based on OR=1.34 (95% CI= 0.49-3.42) a very weak association of IgG anti H. pylori antibodies prevalence was observed with an overall increased risk of lymphoma. In conclusion, a week association of H. pylori infection with lymphoma was found due to non categorization of the lymphoma cases pathologically, the association might increases significantly if being categorized pathologically.
Evaluation of an experimental Warn‐on‐Forecast 3DVAR analysis and forecast system on quasi‐real‐time short‐term forecasts of high‐impact weather events

The purpose of this study is to demonstrate the capability of an experimental, weather‐adaptive, high‐resolution, deterministic Warn‐on‐Forecast (WoF) analysis and forecast system (WoF3DVAR‐AFS) for predicting high‐impact severe weather events that occurred during the Hazardous Weather Testbed 2019 Spring Forecast Experiments. WoF3DVAR‐AFS uses a three‐dimensional variational (3DVAR) method as its core data assimilation system and the Advanced Research Version of the Weather Research and Forecasting (WRF‐ARW) model as its forward model. Surface measurements provided in meteorological aviation reports and the Oklahoma Mesonet, Doppler radar data, and spaceborne total lightning observations provided by the Geostationary Lightning Mapper are assimilated at 15‐min frequency over a target domain determined by the “Day 1” Convective Outlook product from the Storm Prediction Center. The chief goal of this system is to complement probabilistic forecasts generated by ensemble analysis and forecast systems, such as the experimental Warn‐on‐Forecast System (WoFS) with a higher‐resolution deterministic member to aid forecasters' decision‐making. We performed both qualitative and quantitative evaluations on 0–6 hr forecasts launched hourly from 1900 to 0300 UTC the next day for each of the 12 cases. Aggregated subjective forecast evaluation metrics from each individual case, as well as detailed comparison against available verification datasets, suggest that the forecasts are generally skillful in terms of composite reflectivity fields, quantitative precipitation forecasts, and the strength and location of rotation tracks and damaging winds. This study presents initial efforts to assess the performance of WoF3DVAR‐AFS and provides possible directions for further improvements, including the development of a weather‐adaptive, dual‐resolution analysis and forecast system hybrid with an ensemble system, such as the experimental Warn‐on‐Forecast system.
Steel Surface Defect Diagnostics Using Deep Convolutional Neural Network and Class Activation Map

Steel defect diagnostics is considerably important for a steel-manufacturing industry as it is strongly related to the product quality and production efficiency. Product quality control suffers from a real-time diagnostic capability since it is less-automatic and is not reliable in detecting steel surface defects. In this study, we propose a relatively new approach for diagnosing steel defects using a deep structured neural network, e.g., convolutional neural network (CNN) with class activation maps. Rather than using a simple deep learning algorithm for the classification task, we extend the CNN diagnostic model for being used to analyze the localized defect regions within the images to support a real-time visual decision-making process. Based on the experimental results, the proposed approach achieves a near-perfect detection performance at 99.44% and 0.99 concerning the accuracy and F-1 score metric, respectively. The results are better than other shallow machine learning algorithms, i.e., support vector machine and logistic regression under the same validation technique.
Timing and Prosody of Lexical Repetition: How Repeated Instructions Assist Visually Impaired Athletes’ Navigation in Sport Climbing

ABSTRACT How can lexical repetition help in guiding someone to do something? We take the example of sports climbing. Climbing demands complex bodily movements to reach holds and propel the body upwards. It is harder for visually impaired athletes, since they cannot see in advance where holds are located, so guides help them. There is a great deal of interplay between the (a) affordances of the climbing wall; (b) the guides’ understanding of what the climbers are touching; and (c) the formatting, timing, and delivery of their instructions. We find that guides use carefully timed and prosodically calibrated lexical repetition (for example, up up up! ) to adjust both the duration and direction of the climbers’ ongoing movements and to make sure that they get to their planned holds. Data are in Italian with English translation.
Educational Programs Development, Using Intervention Mapping Protocol and Kern Model in Primary Health Care Setting to Prevent Elders Abuse: A Randomized Controlled Trial Study.

Background: Several studies have focused on to find out the factors that may improve psychological, physical well-being, and quality of life among elders and prevent their abuse. Objectives: We investigated the impact of developing educational programs, using Intervention Mapping (IM) protocol and Kern Model in Primary Health Care Setting to prevent elder abuse. Methods: The integrated educational package was provided using both the IM protocol and Kern Model. The family members of the eighty elderly women were trained once a week for 4 sessions. The self-administrated Elder Abuse Questionnaire (EAQ) was completed before and after intervention by elderly women. The linear mixed model was used for the comparison of elder abuse frequency in two groups of control and trail. Results: The data of this study indicated that our intervention resulted in reduction in frequency of psychological and financial abuse (F=127.12, p<0.005; and F= 16.53, p<0.07 respectively) and neglect (F=95.4; p<0.005). None of the elders reported any physical abuse. Conclusion: This study showed that, the developed integrated educational package improves elder abuse and specifically it is tailored to the education of family members of the elderly women
Comparison of the Effect of Moringa Extract and Powder on Coliform and BOD Variation with Time

The study investigated the use of moringa extract and powder on coliform and BOD variation with time. Jar test analysis revealed optimum dosages that were used in the experimentation. Raw and waste water samples were treated separately with the extract and powder at detention periods of 1, 24, 48 and 72 hours respectively. Coliform and BOD values of the water samples which were either flocculated or not were measured. The results revealed that, raw water coliform in excess of 1700cfu/ml and BOD of 78mg/L were reduced to 540cfu/ml and 60mg/L after 72 hours of using moringa extract in the treatment. But the same treatment using particle sizes of the powder indicated poor performance, especially in waste water treatment. The study reveals that moringa oleifera extract is comparatively better than powder in raw and waste water treatment. Key words - Comparison, moringa extract, powder treatment
Where do angry birds tweet? Income inequality and online hate in Italy

Do spatial socioeconomic features influence a digital behaviour like cyberhate? Our contribution provides an answer to this question, showing how high levels of income inequality determine high volumes of hate tweets in Italy. Our findings are robust to potential endogeneity problems of income inequality, as well as to the inclusion of confounding factors and to competing estimation strategies. Additionally, we find that education does not act as a protective factor against cyberhate in unequal places, aligning with existing evidence showing that inequality may trigger intolerance, including among educated people, threatening the perceived stability of social positions. Also, in the Italian case, the perception of economic insecurity fuels cyberhate, alongside the transmission of self-interest values along family generations. The latter finding relates to existing evidence supporting the role of persistent social norms in shaping people’s attitudes.
Synthesis of Monodisperse Spherical Nanocrystals

Nanoparticles, small units of matter with dimensions in the range1-100 nm, exhibit many advantageous size-dependent magnetic, electrical, chemical and optical properties, which are not observed at the micro scale or bulk. These properties are extremely sensitive to particle size, and thus the ability to produce monodisperse particles is critical. Due to its ease of use and flexibility, precipitation of nanoparticles from solution is one of the most widely used synthesis methods. The main disadvantage of this method is that the relationship between particle growth and system conditions is not fully understood. In practice, the optimal reaction conditions are usually ascertained empirically or intuitively. In this report we consider several different applied mathematical techniques to explain nanoparticle growth via the precipitation method. In particular, we describe the impact of size focussing and defocussing (or Ostwald ripening) on the evolution of the nanoparticle size distribution.
Effect of Carrot and Pumpkin Pulps Adding on Chemical, Rheological, Nutritional and Organoleptic Properties of Ice Cream

Ice cream manufactured using a substantial amount of pumpkin pulp (PP) and carrot pulp (CP) has a high organoleptic acceptability. PP and CP were added to typical control ice cream (TC) up to 20%. Through adding PP and CP, natural flavor, unique color, and health-promoting constituents were presented. The resultant ice cream was subjected to chemical, rheological, nutritional, and organoleptic properties investigation. Results revealed that dry matter especially SNF in both PPand CP-ice creams were increased significantly. Accordingly, ash, fiber, and available carbohydrates contents were significantly increased whereas opposite result was recorded for crude protein as a result of PP and CP substitution. The ice cream containing high PP and CP contents had higher melting resistance and lower overrun %. Health beneficial phytochemicals such as carotenoids, flavonoids (TF), flavonols (TFL), and vit. C were commonly detected in PP and CP-ice creams, reflecting the attributes of PP and CP ingredients. PP and CP-ice cream had the valuable content of TPC, vit. C and antioxidant capacity. However, only ice cream made with 15% of PP and CP was highly accepted than others. Therefore, it is possible to use a substantial amount from PP and CP to produce ice cream up to 15% with retained much of natural color, unique vit. C, TPC, carotenoids, TF, TFL contents as well as valuable antioxidant capacity. Health beneficial compounds and organoleptic attributes of prepared ice cream formulas were encouragingly the commercial possibility of using PP and CP for scaling up further.
Effect of moisture stress on anaerobic metabolism and seed filling in maize.

Fifteen maize genotypes were screened for their tolerance towards flooding and drought stress. Various biochemical parameters (enzymes/metabolites) were studied in leaves and roots at two leaf seedling stage in selected maize genotypes after 72 h drought and flooding stress. Activities of ADH, ALDH, PDC, CAT, POX, HXK and SuSy increased in roots of tolerant genotypes after flooding stress, while drought stress increased the activity of POX and SuSy and ascorbic acid content in the leaves of tolerant genotypes. An 85 kDa protein was exclusively synthesized in roots of tolerant genotypes under flooding stress. Parkash and Paras cultivars were sown in the field and effect of water deficit conditions (rain-fed) was studied at 7, 21 and 28 days after silking. GR, CAT and APX activity and glutathione content decreased in the leaves while H2O2 content increased in leaves and grains of Paras (drought susceptible) under water deficit conditions. A short term flooding experiment (16 h) was conducted on Parkash and Paras cultivars in laboratory and field conditions and in general, an increase was observed in the enzymes of antioxidant and ethanolic fermentation system in roots of both the genotypes. Seeds of drought tolerant genotypes exhibited higher activity of APX, GR, acid invertase, SuSy and HXK and lower H2O2 content as compared to susceptible genotypes while, seeds of flooding tolerant genotypes exhibited higher GR and SuSy activity and lower phytic acid content as compared to susceptible ones. Twenty sequence specific primers pairs for stress related genes/mRNA present in maize and Arabidopsis genome were designed and DNA of 15 maize genotypes was amplified with them. DNA was amplified with only five primer pairs corresponding to SuSy mRNA, SuSy gene and ADH3 mRNA. These primers can be employed as potential markers for screening of flood tolerant genotypes. DNA amplification with RAPD markers revealed that genotype LM13 and LM14 are closely related with highest genetic similarity coefficient of 0.71, whereas, farthest related genotypes are JH3459 and LM6 with similarity coefficient of 0.40.
Convective Precipitation Nowcasting Using U-Net Model

Convective precipitation nowcasting remains challenging due to the fast change in convective weather. Radar images are the most important data source in nowcasting research area. This study proposes a radar data-based U-Net model for precipitation nowcasting. The nowcasting problem is first transformed into an image-to-image translation problem in deep learning under the U-Net architecture, which is based on convolutional neural networks (CNNs). The input of the model is five consecutive radar images; the output is the predicted radar reflectivity image. The model consists of three operations: upsampling, downsampling, and skip connection. Three methods, U-Net, TREC, and TrajGRU, are used for comparison in the experiments. The experimental results show that both deep learning methods outperform the TREC method, and the CNN-based U-Net can achieve almost the same performance as TrajGRU which is a recurrent neural network (RNN)-based model. With the advantages that U-Net is simple, efficient, easy to understand, and customize, this result shows the great potential of CNN-based models in addressing time-series applications.
The influence of brand image, Brand Personality and Brand Experience on Brand Love and Their Impact on Brand Loyalty of Cellular Card Users

<p align="center"><strong>Abstract</strong></p><p>The purpose of this research is to know: (1) influence of brand image to brand love (2) influence of brand personality to brand love, (3) influence of brand experience to brand love (4) influence of brand image to brand loyalty (5) influence of brandexperience to brand loyalty, (6) the influence of brand love on brand loyalty. This research was conducted using a sample of 131 people and data are taken by giving respondents structural questionaires. In terms of data analysis, this research used Partial Least Square (PLS)<strong> </strong></p>
Expressed motives of amateur karate and taekwondo athletes for sport participation

This study aimed to investigate amateur karate and taekwondo athletes' participation motivation mutually. A total of 206 amateur karate and taekwondo athletes voluntarily participated in the study. In the study to collect data Turkish version of Participation Motivation Questionnaire (PMQ) used. The questionnaire consisted of 30 items and eight factors. In the evaluation of data in addition to descriptive statistical methods, MANOVA was used to identify significant differences. As a result, according to descriptive statistics, while the most important motive for sport participation was found to be as "skills development," the least important motive was found to be as "friend" for both karate and taekwondo athletes. But MANOVA results did not reveal any significant differences (p>.05). This result is thought to be because of both karate and taekwondo are individual sport branches and requires both skill and talent.
Biomechanical analysis of the late approach and the take off in the indoor women’s long jump

Aim of the study was to provide evidence concerning the biomechanical parameters of contemporary Women’s long jump in indoor competition. The final six steps and the take-off of 11 jumps (6.88 ± 0.23 m) were recorded (panning camera; sampling frequency: 300 fps) in an indoor competition. The examined parameters were a) the step parameters, the percentage distribution of adjustment (ADJ%) and the inter-limb symmetry angle (θ SYM ) in the late approach, b) the joint angles and the take-off parameters. Pearson’s correlation analysis revealed that approach velocity (9.8 ± 0.3 m/s) was significantly correlated (r = .86, p = .001) with effective distance (6.96 ± 0.23 m). The largest ADJ% (57.6 %) was executed at the penultimate step which was 12.2 ± 2.8 % larger than the last step. An inter-limb difference was revealed for step frequency (t 10 = 6.965, p < .001) due to the large asymmetry observed (θ SYM = 5.54 deg). The knee angle of the push-off leg at take-off was 171.2 ± 4.7deg. Resultant velocity (8.3 ± 0.4 m/s), height (1.15 ± 0.05 m) and angle (20.7 ± 2.3 deg) of take-off significantly predicted effective distance (F 3,7 = 12.671, p = .003, R 2 = .844). The present findings are in reasonable agreement with previous research. Future studies should examine the possible reliance and asymmetry for the step parameters in the final approach.
Alkali Metal-Assisted Synthesis of Graphite Carbon Nitride with Tunable Band-Gap for Enhanced Visible-Light-Driven Photocatalytic Performance

The development of high-performance semiconductor photocatalysts using solar energy has become a hot topic, which is crucial for a sustainable future. However, construction of a nontoxic and efficient catalyst still remains an enormous challenge. Here, we uncover a simple hydrothermal recalcination method to prepare a novel potassium (K)-doped porous ultrathin g-C3N4 (denoted as KMCN) photocatalyst with efficient catalytic performance, eco-friendly characteristics, and excellent stability. The obtained KMCN nanosheets were applied to the photodegradation of tetracycline (TC) under different reaction condition to simulate practical wastewater treatment. It was found, that the porous structure and K+ addition of g-C3N4 enhanced the pore size and specific surface area, and they increased the photoabsorption region and activity sites. The optical properties of KMCN nanosheets were systematically characterized by PL, UV-DRS, etc. The results revealed that the KMCN(0.05) sample possessed a narrowed band gap, lo.
Plasmon-Coupled Resonance Energy Transfer II: Exploring the Peaks and Dips in the Electromagnetic Coupling Factor

We study resonance energy transfer between a donor–acceptor pair located on opposite sides of a spherical silver nanoparticle and explore the dependence of energy-transfer rate on nanoparticle size using a quantum electrodynamics theory we developed previously. This theory indicates that the rate is determined by the product of donor emission spectra, acceptor absorption spectra, and an electronic coupling factor (CF) that is determined by electrodynamics associated with the donor as a dipole emitter near the nanoparticle. We find that the CF spectra show peaks that are associated with localized surface plasmon resonances, but the locations of the most significant peaks are less correlated to the size of the nanoparticle than is found for extinction spectra for the same particle. For small nanoparticles (≲30 nm), where dipole plasmon excitation dominates, a quasi-static analysis leads to an analytical formula, in which the CF peaks and dips involve interference between donor electric field and the scatter.
Evaluation of Field Practices of Building Education Program

This research aims to find out the process of implementing field practices in Building Education Program of Faculty of Engineering at Medan State University. The implementation of field practice is one of the implementation of vocational education. Field practice activities for building education programs are conducted through observation and analysis of various problems in building and civil construction observation and analysis of various problems in building and civil construction work. The subjects of the study were students of Building Education Program of Faculty of Engineering at Medan State University who had conducted field practice as many as 34 people in 2019. Based on the results of research and discussion of the implementation of field practice in building education, it is necessary to improve, namely: 1) acceleration of completion, because the average length of field practice is 6.88 months, 2) acceleration of administration process such as correspondence, 3) implementation of field practice conducted during college holidays to be more efficient, 4) The focus of field practice report is quickly determined when guidance with each student, and 5) field practice exam materials around the student's written report. Overall, the results show that the implementation of field practice can improve competence and attitude towards the world of work especially in the field of construction. The implementation of field practice in Building Education Program still needs attention to prepare more competent graduates in the field of building and civil construction.
Students’ motivation during experimental activities: an empirical study with GeoBoxes in Germany

Abstract This study investigates students’ motivation during experimentation in geography lessons by implementing a newly developed experimental kit on soils (GeoBox) in Germany. The study focuses on a first evaluation by means of a one-group pretest/posttest design. Fifth-grade students (N = 166) answered a questionnaire pertaining to regular geography lessons (pretest) and took part in eight lessons with GeoBox, followed by a questionnaire regarding the experimental learning phase (posttest). Upon comparison of pretest and posttest scores, the results showed significant intra-individual differences regarding activation and students’ motivation. Students valued GeoBox and expected to be successful at tasks that entailed use of the kit.