Miracle-dz/UniFAR-FTUs huggingface dataset:
The Happiness Atmosphere In Classroom As Medium Of Process Foreign Language Teaching

This study aims to determine the results of the teaching process in the classroom with the approach and design of learning happiness atmosphere in classroom which aims to increase mastery of a foreign language (English). This study used a qualitative descriptive method with data collection stages such as data collection steps including setting research boundaries, collecting information through observation, structured (or semi-structured) interviews, documents, visual materials, documenting the results of information in the field . The object of this research ware semester I students who toke speaking I courses at University of Ibrahimy. The stages and teaching in this class were used multiple methods in the stimulus so that students feel happy and happy in class. The research was used student-focused learning approach (student center). The learning model applied were CTL, Communicative approach, feedback review, discussion and natural learning. In the process of learning foreign language mastery in class, students were allowed used bilingual when having difficulty in vocabulary, students were allowed to directly ask their friends when they have difficulties and other friends were advised to provide feedback on their friends' questions, The final results obtained from the learning process with the application of the happiness atmosphere in the classroom turned out to be very positive results and the students were happy, accustomed to the teaching process and continued to apply learning theory to achieve appropriate success.
Reliability of mangrove radiocarbon chronologies: A case study from Mahé, Seychelles

Mangrove sediments are valuable archives of paleoenvironmental and relative sea-level changes. The most widely applied method to obtaining chronologies of past changes in mangrove sediments is radiocarbon dating, because mangroves produce large amounts of organic matter in situ. However, there are many challenges to obtaining reliable radiocarbon chronologies because bioturbation processes from roots and crabs can rework mangrove sediments, resulting in ages that are not in stratigraphic order. Previous studies have suggested that methods that isolate specific sediment size fractions may yield ages closer to the age of the paleo depositional surface by removing younger carbon contamination from fine roots. This study examines which sample types are more likely to yield reliable radiocarbon ages using shallow cores from a mangrove environment on Mahé, Seychelles, in the Indian Ocean. We compare radiocarbon ages from bulk sediment, sieved organic concentrates and above-ground macrofossils collected from the same stratigraphic depths. Bulk sediment and organic concentrate ages are comparable, which suggests that methods that separate out different size fractions do not sample different carbon sources in Seychelles mangrove cores. Identifiable above-ground macrofossils are rare in Seychelles mangrove cores, but yield older radiocarbon ages than comparable bulk sediment or organic concentrate ages. We suggest that in Seychelles, limited accommodation space over the late-Holocene, determined by relatively stable relative sea levels, has resulted in poor preservation of above-ground macrofossils for radiocarbon dating due to low rates of burial and sediment accretion. Low accretion rates have likely resulted in a mangrove sediment sequence that is highly bioturbated and degraded, meaning both bulk sediment and organic concentrate samples are impacted by contamination from younger roots. We argue that the availability of accommodation space and sediment composition controls the reliability of mangrove radiocarbon chronologies, which has implications for sample choice and site selection.
Fully automated longitudinal tracking and in-depth analysis of the entire tumor burden: unlocking the complexity

We present a novel approach for handling complex information of lesion segmentation in CT follow-up studies. The backbone of our approach is the computation of a longitudinal tumor tree. We perform deep learning based segmentation of all lesions for each time point in CT follow-up studies. Subsequently, follow-up images are registered to establish correspondence between the studies and trace tumors among time points, yielding tree-like relations. The tumor tree encodes the complexity of the individual disease progression. In addition, we present novel descriptive statistics and tools for correlating tumor volumes and RECIST diameters to analyze significance of various markers.
Photoinduced Oxidation of Lipid Membranes in the Presence of the Nonsteroidal Anti-Inflammatory Drug Ketoprofen

The damage of cell membranes induced by photosensitive drugs has attracted the significant attention of researchers in various fields of medicine. Ketoprofen (KP) is known to be the most photosensitive among the nonsteroidal anti-inflammatory drugs. The phototoxic side effects of KP and other non-steroidal anti-inflammatory drugs are associated with the action of free radicals, but there is insufficient information about the nature of these radicals. In the present study, free radicals formed upon KP irradiation within lipid membranes were studied using nuclear magnetic resonance (NMR) and chemically induced dynamic nuclear polarization (CIDNP) methods, as well as a molecular dynamics simulation. Our study confirmed the effective penetration of KP into the lipid bilayer and showed a significant effect of the nature of the medium on the photolysis mechanism. While, in a homogeneous solution, the main channel of KP photolysis is free radical-mediated monomolecular decomposition with formation of radical pairs of benzyl and CO2H● radicals, then, in the lipid membrane, the reaction route shifts towards the bimolecular reaction of KP photoreduction. In addition, the effect of the presence an electron donor (the amino acid tryptophan) on lipid oxidation has been studied. It was found that photoreaction of KP with tryptophan proceeds more efficiently than with lipid molecules.
Profile of Obesity and Comorbidities and their Correlation among Hemodialysis Patients, Elbasan

INTRODUCTION: Nowadays, obesity is an enormous problem in the public health of undeveloped countries and developing countries. Being overweight, especially obesity in internal organs contributes to increased risk of metabolic and cardiovascular complications in patients with chronic kidney disease. There is no complete data available in our country on the correlation between obesity and comorbidity diseases among persons undergoing dialysis. So we do not know how BMI affects Diabetic or Cardio Vascular Disease (CVD) patients among dialysis patients. We, therefore, undertook this study to evaluate the association of obesity with mobility in hemodialysis patients at the Elbasan dialysis center. METHODOLOGY: This cross-sectional study was performed in 160 patients who have undergone the dialysis process at Elbasan Dialysis Center for three years (2016-2018). A standardized questionnaire was adopted to obtain data from all patients. The subjects were divided a priory into 4 categories based on the body mass index (BMI) (underweight <19, normal 19-25, pre-obese 25-30 and obese ≥30 kg/m2). Software SPSS version 20.0 is used to analyze and evaluate the data. Kaplan-Meier estimate were used to find the correlation between BMI with their prognostic abilities like cardiovascular disease and Diabetes Mellitus Type 2. We have considered statistically significant every p value less than 0.05. RESULT: Over all 160 patients, the men presented the highest number of cases compared to female 73.1% and 26.9% respectively. The mean age resulted 52.7 ± 15.6 years and age groups 50-59 years old and 60-69 years old with 29.4% and 34.3% respectively were the most frequent in this study. About the category of BMI index 8.8% patients resulted underweight, 45% were in normal weight, 28.2% were pre-obese and 6.6% were obese. We observed significant correlations between BMI and some of the demographic data such as: gender, age, place of residence, educational level, smoking and alcohol consumption for p <0.05. Changes in patient survival rates between BMI with DMT2 and cardiovascular disease are not statistically significant (long range p> 0.05). In terms of mortality, a strong significant correlation was observed with the age of 50-69 years and with the index of hemoglobin, urea and creatinine after dialysis with p value <0.05. CONCLUSION: In the paradoxical epidemiology, the overweight becomes chronic on hemodialysis patients and serves as a protective factor which is associated with better survival, but we weren`t found significant association between the BMI and some of the variables analyzed. This study presents a small number of chronic patients on hemodialysis center in Elbasan city. There is a need to better understand the reverse epidemiological causes in individuals on dialysis, which can help us improve the poor outcome in this population.
ASSESSMENT OF RADIO TELECOMMUNICATION COVERAGE SIGNAL USING GEOSPATIAL ANALYSIS

With the advancement in Information and Communications Technology (ICT), the importance of telecommunication sectors is irrefutable. Rapid growth in this sector requires a good network coverage so the application of the technology is accessible for all purpose from everywhere. In this study, the radio telecommunication coverage signal in Kg. Gong Badak, Universiti Malaysia Terengganu (UMT) and Universiti Sultan Zainal Abidin (UNISZA) have analysed to estimate the frequency (MHz) level using different interpolation techniques (IDW, Natural Neighbor, and Kriging) to select the best method. Then, the relationship between signal strength level (amplitude) and Land Use Land Cover (LULC) data was identified. Several statistical approaches such as Linear Regression Model and Rank Spearman Correlation Coefficient were implemented in this study. From the findings, we found that the Kriging method is the best technique to be applied for network coverage assessment. We also found that the relationship between signal strength (amplitude) and LULC in Kg. Gong Badak exists either in environmental aspects or physical structures. Kg.Tok Jembal, UMT, Kg. Pak Tuyu and Kg. Jati show a strong positive linear relationship (p-value of < 1%) between signal strength received and a 100-meter interval for 1 kilometer from the base station tower (BST). This indicates that the distance from the BST determines the signal strength. This study can be beneficial for the government and the players in the telecommunication industry to monitor the network coverage in Malaysia to provide a better service.
Influence of Nutrient Management Practices on DTPA Soil Micronutrients and Its Relation with Soil pH and Cation Exchange Capacity in Pearlmillet (Pennisetum glaucum L.) Cultivated Soils of Western India

A field experiment was conducted during kharif, 2019 at Anand Agricultural University, Anand, Gujarat, India. The effect of nutrient management practices on soil pH, cation exchange capacity, DTPA micronutrient and their inter relationship were studied. The result of present study showed that relationship between available micronutrients and soil pH was significantly and negatively correlated for DPTA Fe, Mn and Zn. In case of DTPA Cu and soil pH relationship was positively correlated. The highest R2 value for the relationship between DTPA micronutrients and soil pH was for the available Fe (0 79). The relationship between available micronutrients and cation exchange capacity of soil was reverse of soil pH. Available Fe, Mn and Zn were positively correlated with cation exchange capacity and reverse for DTPA Cu. The lowest R2 value for relationship between DTPA micronutrients and soil cation exchange capacity was for DTPA Cu (0.008).
In-silico study on plant determined flavonoids compounds for the synthetic medications against breast cancer growth

Breast cancer is one of the genuine wellbeing worries in India bringing about the most elevated death rate in females, which happens because of uncontrolled cell division and can be metastasize to different parts of the human body, and different medications are accessible to its cure. Drugs like Tamoxifen and Herceptin can cure breast cancer however these medications have their unsafe impacts on human body. This study deals with the docking, toxicity, bioactivity and ADME expectation of flavonoids compounds with HER2 and estrogen receptor, to limit the utilization of existing medications. Lipinski's channel is utilized to screen the flavonoids compounds on the premise of five tenets. Out of 200 flavonoids compounds 15 compounds were screened on the premise of Lipinski's channel. The outcomes uncovered that the top positioning screened flavonoids indicates greatest docking and minimum binding energies with the HER2 and ER receptor when contrasted and the accessible medications. The above analysis demonstrated the compounds ST026594 (7-hydroxyflavone), ST070967 (2-(- 4-fluorophenyl)- 4n-chromen-4-one), ST086622 (3-hydroxyflavone) and ST055369 (8-methylflavone) were the best compounds indicating minimum binding energy in correlation with medication Tamoxifen with Estrogen receptor and compounds ST060160 (4-hydroxyflavone) and ST058442 (6,3- dimethylflavone) were the best compounds indicating minimum binding energy in examination with medication Herceptin with HER2 receptor, were likewise bioactive and non dangerous in nature with great pharmokinetics properties and drug likeliness.
Survey on algebraic numerical differentiation: historical developments, parametrization, examples, and applications

The historical developments, parametrization, and numerous applications of algebraic numerical differentiation methods initiated by Fliess, Mboup, Join, and Sira-Ramírez are presented. These numerical non-asymptotic approximation approaches for higher-order derivatives of noisy signals are suited for real-time embedded systems. The different derivation approaches are reviewed according to their historical developments. Links to numerous established numerical differentiation algorithms like the Savitzky-Golay filters are discussed. Recent tuning approaches that are reviewed facilitate a parametrization for a good estimation accuracy without relying on trial-and-error approaches, which is essential for industrial applications. The use of these guidelines is demonstrated using two concrete examples: Identification of system parameters from noisy measurements and numerical inversion of the dynamics of analogue anti-aliasing filters. Moreover, an extensive literature survey with various applications of these methods by the control community in all engineering areas is presented. The problems solved include, but are not limited to, parameter estimation, state reconstruction, feedback control, fault diagnosis, anomaly detection, fault-tolerant control, and model-free control. A MATLAB and Python toolbox implementing all necessary functions for the design, analysis, and discretization of the filters is made available, for which a link is provided. Its use is demonstrated in a short appendix.
Experimental investigation on thermal performance of water wall systems exposed to fire

Water wall systems (WWSs) are increasingly being used as glass façades in modern green buildings owing to their enhancement in building energy efficiency. However, little is known about their performance when exposed to fire. In this study, 500 × 1000 mm2 sized water wall systems with 30 mm, 50 mm and 100 mm thick water columns were tested and compared to the thermal performance of a 500 × 1000 mm2 sized single skin glass façade system. These façade systems were heated by a 400 × 600 mm2 isopropanol pool fire. The distance from the pan centre to pane 1 of the façade was 350 mm. Time to first crack and surface temperatures were measured. The experimental results indicate that single skin glass façades are more vulnerable to cracking than water wall systems, but exposed glass pane fallout can easily occur in water wall systems compared to single skin façades. Since the overall performance is dependent on the failure of the fire unexposed glass pane, water wall systems are more fire resistant than single skin glass façades. The water layer thickness significantly affects the WWS thermal performance, where a 50 mm thick water layer would result in a longer time to first crack. The experimental findings of this study are useful for developing practical guidelines for fire-safe glass façade designs.
Neurobehavioral Differences of Valproate and Risperidone on MK-801 Inducing Acute Hyperlocomotion in Mice

Objective The glutamate system plays a major role in the development of neuropsychiatric disorders such as addiction, epilepsy, dementia, and psychosis. MK-801 (dizocilpine), an uncompetitive N-methyl-D-aspartate (NMDA) receptor antagonist, could increase locomotor activity and stereotyped neurobehaviors mimicking schizophrenic-like features in the mouse model. The study would explore the neuropharmacological differences of risperidone and valproic acid on the MK-801-induced neurobehavioral changes. Methods The subjects were male C57BL/6J mice obtained from the National Laboratory Animal Center. Drug effects were assessed using the open field with a video-tracking system and gaiting tests. After habitation, risperidone (0, 0.1 mg/kg) or valproic acid (0, 200 mg/kg) was injected and ran locomotion for 30 mins. Sequentially, mice were followed by intraperitoneal injection (i.p.) with MK-801 (0, 0.2 mg/kg) and ran locomotion for 60 mins. Gaiting behaviors such as step angles, stride lengths, and stance widths were measured following the study drugs. Results The results showed that risperidone and valproic acid alone could not alter the locomotor activities. Following the MK-801 injection, the travelled distance and speed in the entire open field dramatically increased. The dose 0.1 mg/kg of risperidone could totally inhibit the MK-801-induced hyperlocomotion compared with that of the saline-injected group (p < 0.001). The valproic acid (200 mg/kg) partially suppressed the hyperlocomotion which is induced by MK801. Conclusion The more dominant effect of risperidone to rescue MK-801 induced hyperlocomotion compared with that of valproic acid. The partial suppression of valproic acid may imply the psychopharmacological evidence as adjuvant effect to treat psychotic patients through tuning glutamatergic neurotransmission.
Investigating hydrologic controls on 26 Precambrian shield catchments using landscape, isotope tracer and flow metrics

Although many studies focus on catchment classification, hydrologists are challenged to find the most important variables for a meaningful catchment classification, especially in the heterogeneous environment of the Precambrian Shield. This study investigates landscape controls on hydrologic response by conducting a catchment classification of 26 catchments located within two Precambrian Shield watersheds (Sturgeon–French–Nipissing [SNF] and Muskoka) in central and Northeastern Ontario, Canada, using combinations of landscape characteristics (e.g. topography, geology, landcover), hydrometric variables, and stable isotopes of δ18O and δ2H in river flow. Weekly to monthly surveys of δ18O and δ2H in river flow were collected between 2013 and 2019. Flow metrics (e.g. Pardé coefficient and coefficient of variation of streamflow) were generated for 14 of the 26 rivers between 2008 and 2018. Principal component analyses (PCA) and Hierarchical Clustering on Principal Components (HCPC) analyses were used to identify variables controlling catchment clustering according to their similarities for four different scenarios. Despite their similar location along the southern edge of the Precambrian Shield, the 26 catchments generally clustered by watershed (SNF and Muskoka) with some exceptions. Differences in wetland and lake area (%), mean slope, and % area covered by glacialacustrine and glaciofluvial outwash deposits were the most influential variables in catchment classification. A positive correlation between % wetland area and streamflow stable isotope damping ratios suggests greater % wetland area (with shallow and potentially seasonally variable surface areas and/or hydrologic connection) observed in the SNF catchments increases variability in the influence of evaporative enrichment in SNF catchments. The catchment classification analyses in combination with stable isotopes of δ18O and δ2H were functional tools to investigate the combined influences of diverse types of catchment characteristics that lead to differences in hydrometric response. These results could support future studies focusing on generating hydrologic models and representing wetlands connectivity in the region.
Intergroup Contact and Prejudice Reduction: Prospects and Challenges in Changing Youth Attitudes

Intergroup contact has long been lauded as a key intervention to reduce prejudice and improve intergroup attitudes among youth. In this review, we summarize classic perspectives and new developments in the intergroup contact literature, highlighting both prospects and challenges associated with achieving desired youth outcomes through contact. First, we review literature showing how positive intergroup outcomes can be facilitated through cultivating optimal conditions for contact, as well as by attending to youth’s emotional responses to contact. We then discuss how desired contact outcomes may be inhibited by limited understanding of ways in which contact strategies may affect youth across developmental stages, as well as by limited focus on societal inequalities and intergroup conflict, which require examination of outcomes beyond prejudice reduction. We also review growing bodies of research on indirect contact strategies—such as extended contact, vicarious contact, and online contact—showing many options that can be used to promote positive relations among youth from diverse backgrounds, beyond the contact literature’s traditional focus on face-to-face interaction. We conclude this review by acknowledging how understanding both prospects and challenges associated with implementing contact strategies can enhance our capacity to prepare youth to embrace group differences and build more inclusive societies.
Zircon xenocrysts in Late Cretaceous magmatic rocks in the Kermanshah Ophiolite: link to Iran continental crust supports the subduction initiation model

ABSTRACT Geochronological and geochemical data show that Late Cretaceous Zagros ophiolites were generated by forearc seafloor spreading during a subduction initiation event along the southwestern margin of Iran. These ophiolites define a ~ 3000 km long belt passing from Cyprus to Turkey, Syria, Iran, the UAE, and Oman. Ten samples of plagiogranites, amphibole gabbros and diorites of the Kermanshah ophiolite yield U-Pb zircon magmatic ages indicating ophiolite formation at 98 to 96 Ma. Some Kermanshah rocks also contain abundant zircon xenocrysts with age peaks (in order of decreasing size): Triassic (~247 Ma), mid-Paleoproterozoic (~2150 Ma), Late Paleoproterozoic (~1850 Ma), Late Ediacaran (~560 Ma), Early Cretaceous (~140 Ma), and Tonian (~850 Ma). Similar age peaks are seen in magmatic and detrital rocks of Iranian crust to the north. The xenocrysts have εHf(t) values from +6.3 to – 21.6, corresponding to depleted mantle Hf model ages (TDM) of 0.6 to 3.6 Ga. The xenocryst age peaks are similar to those of zircons in Iranian continental crust. The occurrence of zircon xenocrysts in the Kermanshah ophiolite suggests that this formed adjacent to the Iranian continent, as expected for Late Cretaceous subduction initiation.