Miracle-dz/UniFAR-FTUs huggingface dataset:
Reasons Behind Mis/Understanding English Conversational Implicatures by University Learners in Yemen

English, as a communication tool, plays an extremely significant role in cross-cultural communication. While it is true that language users can mean exactly what they mean in their utterances, it is also true that they can have their utterances mean much more than what they say. Speakers of English speak indirectly, and using conversational implicatures is a way to be indirect. And as sentences often express messages above and beyond their literal meanings, it is not surprising that pragmatic errors are found in language learning process of EFL learners' communication. Therefore, this study aims at investigating the factors beyond misunderstanding or understanding of English conversational implicatures among Yemeni EFL university learners. It follows an empirical analytical-descriptive method consisting of a test and an interview. Randomly, 50% of the study population was selected as the study sample. They were 62 Yemeni EFL university learners. A multiple-choice discourse completion test ( MCDCT ) and a semi structure interview were used for collecting the study data. The test contained eleven types of conversational implicature The collected data was analyzed quantitatively and qualitatively. The results reveal that different factors caused misinterpretation of conversational implicatures among Yemeni EFL learners. However, the differences in socio-cultural knowledge and indirectness are instrumental in the misunderstanding of conversational contexts in the study. While the familiarity of some conversational implicatures and formulaic pattern of others pose no challenge for the study subjects to interpret some of the test conversational implicatures. The study test conversational implicatures that are formulaic or familiar to the subjects are easy to grasp. Therefore, this study provides some recommendations that are expected to enable EFL university learners to develop their pragmatic competence regarding English conversational implicature and suggests a reconsideration of the existing methodologies on teaching English as a foreign language. Hence, this would ease the concern of EFL students about English conversational implicature, build up their confidence and enhance language learning.
Analysis of the Specificity, Sensitivity and Accuracy of Goniometry Method Compared to Tape Method for Measuring Trunk Mobility in Normal Adults

Measurement of lumbar range of motion (LROM) is a routine method in the examination of patients with low back pain. There is no standard technique which may be used to accurately describe the range of motion in the different plane. So in present study, an attempt has been made to compare goniometric measurement with tape measurement for its sensitivity, specificity and accuracy for measuring spine mobility in normal adults. In this cross sectional study, 137 healthy adults between the ages of 18-26 years of age were included consecutively and assessed using Tape method and goniometry for trunk mobility in all planes (sagittal, frontal and transverse). The association of goniometry with tape method was assessed using chi square test. The study showed that the difference between goniometry and tape method was statistically significant (p value <0.05) for all movements except flexion (p value 0.215). Also the sensitivity, specificity and accuracy of goniometry is not as good as tape method except for flexion compared to tape method. So, from this study we can conclude that Goniometry was not as good as tape method for all movements except forward flexion where both can be equally used.
Milk fatty acid profile of crossbred Holstein x Zebu cows fed on cake licuri

The objective was to evaluate the inclusion level of licuri cake (LC) in the diet of confined cows on fatty acid profile and milk cholesterol. Four cows with a blood level of 1⁄2 to 3⁄4 Holstein x Zebu blood were used, distributed in a 4 x 4 Latin square, where the inclusion levels of the cake in the total diet were 0.0, 5.5, 11.0 and 16.5%, replacing soybean meal in the diet. There was a linear decreasing effect for the fatty acids Lauric, Elaidic, Gamma-Linolenic and conjugated linoleic acid isomers (C18:2cis9trans11; C18:2trans10cis12) from the inclusion levels of LC. The inclusion of licuri cake negatively influenced the Rev Mex Cienc Pecu 2021;12(1):72-86 73 concentrations of polyunsaturated fatty acids and conjugated linoleic acid isomers, in addition to the fatty acids of the Omega-6 series, which is not interesting from the human nutrition point of view.
Visualisation System of COVID-19 Data in Malaysia

Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about the pandamic. Machine learning algorithms can analyse the data and then we can plan for handling the pandamic. To date, many people are suffering because of the lack of reliable information system. The problem is that there is no integrated system to use the data and plan for pandemic management to minimise social panic. This study aims to provide a system, using COVID-19 data as a sample to visualise and analyse cases, deaths, discharged ICU cases updates in Malaysia as a whole state wise of COVID-19 daily statistics. The results provide visualisation and case comparison among states in Malaysia to easily and quickly understand the situation. This will help and assist the management in decision-making.
Tuning of material properties of ZnO thin films grown by plasma-enhanced atomic layer deposition at room temperature

The ability to grow inorganic thin films with highly controllable structural and optical properties at low substrate temperature enables the manufacturing of functional devices on thermo-sensitive substrates without the need of material postprocessing. In this study, the authors report on the growth of zinc oxide films by direct plasma-enhanced atomic layer deposition at near room temperature. Diethyl zinc and oxygen plasma were used as the precursor and coreactant, respectively. The process was optimized with respect to the precursor and coreactant dosing as well as to the purging times, which ultimately resulted in saturated atomic layer deposition growth. The so-obtained films exhibit a polycrystalline pattern with a (100) texture and low amount of incorporated carbon. Furthermore, the possibility to tune crystallite size, refractive index, and bandgap of the films by adapting the plasma radio-frequency power is demonstrated.
Effects of Organic Additives on Grain Growth in Electrodeposited Cu Thin Film during Self-Annealing

The microstructural changes in electrodeposited Cu films during self-annealing is demonstrated in this study. The structural change is strongly influenced by the organic additives in the Cu electrodeposition. The use of either polyethylene glycol (PEG) or bis-(3-sulfopropyl) disulfide (SPS) decreases the Cu(111) grain size of deposited films, as the adsorption of the additives suppresses the surface diffusion of the Cu ions during the electrodeposition. After the electrodeposition, the average grain size of the deposited film was simultaneously increased by 10% in a self-annealing process to reduce the defect energy, which is mainly composed of the surface energy of the grains. Meanwhile, the grain grew 4 times larger than the as-deposited grain size during the self-annealing when both the PEG and SPS were introduced. The drastic grain growth was attributed to the accumulation of a high defect energy in the deposited film. The dynamic interaction between the co-adsorbed PEG and SPS on the Cu surface during the electrodeposition promotes an unoriented dispersion-type deposition, resulting in high-strain energy as well as surface energy. Releasing the strain energy accumulated by the high density of misorientation also leads to the simultaneous growth of Cu(200) grains.
Development and initial validation of the Subjective Academic Wellbeing Measure: A new tool of youth wellbeing in school

The purpose of the current study was to investigate the preliminary development and validation of the Subjective Academic Wellbeing Measure (SAWM), which is a six-item self-report rating measure intended for use as a screening tool to assess the positive academic functioning of young people within the elementary and high school context. Exploratory factor analysis was performed with Sample 1 (N= 161), indicating that the SAWM was characterized by a unidimensional measurement model and had strong factor loadings. Results from confirmatory factor analysis, which was carried out with Sample 2 (N= 199), confirmed the measurement model by yielding good data-model fit statistics that were characterized by strong latent construct and internal reliability estimates. Further analyses showed that the scale had good convergent validity considering scores from several self-reported scales of student mental health problems and positive school functioning. Further analyses also showed that configural, metric, and scalar measurement invariance were observed across gender groups. These results provide initial evidence suggesting that the SAWM is a reliable and valid measure that can be used to assess the positive academic functioning of students within the school context. Implications are discussed, and some suggestions are provided for future research and practice
SPATIAL RESLUTION SENSITIVITY ANALYSIS OF CLASSIFCIATION OF SENTINEL-2 IMAGES BY PRE-TRAINED DEEP MODELS FROM BIG EARTH NET DATABASE

Classifying and monitoring different vegetation types is important for forest management, food resources, and assessing the potential impacts of climate change. In this regard, several methods have been developed to study them using remote sensing data, and with the advent of neural networks, new methods are being proposed, especially in the field of automatic land use classification. In this research, multispectral Sentinel-2 satellite image has been used due to having spectral information and different spatial resolution for classifying plant species. Deep learning models have the ability to learn and recognize different features of images, but require a large number of training samples, so we used pre-trained ResNet networks with depths of 50, 101 and 152 layers, that trained with BigEarthNet dataset. The main purpose of this study is to evaluate the sensitivity of ResNet networks to spatial resolution. Results show that ResNet 101 was more stable than other networks, and the Resent 50 with an overall accuracy of 76.2 has the highest accuracy at a resolution of 20 meters.
Survival Rate of Patients with Gastric Cancer and effective factors in two referral hospitals of Mashhad, Iran: A Multiple Regression Analysis

Background: Gastric cancer (GC) is among the most prevalent cancers in both genders, and the survival rate constitutes a measure to evaluate the diagnosis and treatment of GC. Mashhad is a city located in the northern part of Iran where has been identified as a high incidence region for GC. Objective: To determine survival rate of GC patients diagnosed in Mashhad and identify whether underling factors including demographic factors, family history, education, addiction and co-morbidities can affect survival rate. Methods: This cross-sectional study was conducted in two tertiary referral hospitals (Ghaem Hospital and Imamreza Hospital) in Mashhad. Patients were all diagnosed with GC from 2012 to 2016, and their status in 2019 was determined by data collected from the patients’ records in the hospitals and also by phone calls. KaplanMeier, Log-Rank test, and Cox Proportional Hazards Model, were used for data analysis using STATA 14.1 software. Results: Among 308 patients, 230 (74.7%) were male, and 78 (25.3%) were female. The mean of patients’ age and age at diagnosis time were 65.49 and 64.72 years, respectively. Survival proportion at first, third, and fifth year after diagnosis in both sexes using Kaplan-Meier were 0.63, 0.20, and 0.16. Univariate analysis showed that ethnicity (HR=1.58, p=0.034), addiction (HR=0.53, p=0.016), positive family history (HR=1.56, p=0.023), past medical history (HR=7.93, p=0.002) and education level (HR=0.44, p=0.045) had significant effect on survival rate. Multivariate analysis was somehow consistent with those results except for education level. (HR=9.33, p=0.013). Conclusion: Older age at diagnosis time, male sex, positive family history, coronary artery disease, diabetes mellitus, and hypertension can negatively influence the survival rate of gastric cancer patients, and these could be applied for improving the GC screening and treatment guidelines.
Using automation to produce a ‘living map’ of the COVID-19 research literature

Journal of EAHIL 2021; Vol. 17 (2): 11-15 doi 10.32384/jeahil17469 Abstract The COVID-19 pandemic has disrupted life worldwide and presented unique challenges in the health evidence synthesis space. The urgent nature of the pandemic required extreme rapidity for keeping track of research, and this presented a unique opportunity for long-proposed automation systems to be deployed and evaluated. We compared the use of novel automation technologies with conventional manual screening; and Microsoft Academic Graph (MAG) with the MEDLINE and Embase databases locating the emerging research evidence. We found that a new workflow involving machine learning to identify relevant research in MAG achieved a much higher recall with lower manual effort than using conventional approaches.
Effect of metformin on serum level of vitamin B12 and folate in patients of type-2 diabetes mellitus

Background: Several types of DM are caused by a complex interaction of genetic and environmental factors. Depending on the etiology of the DM, factors contributing to hyperglycaemia include- reduced insulin secretion, decreased glucose utilization, and increased glucose production.Objective of the current study was to study the effect of metformin on the level of vitamin B12 and folate in patients of type 2 DM.Methods: This is hospital based study before and after metformin therapy randomized controlled trial was conducted in medicine ward of M. B. hospital, Udaipur. Baseline serum vitamin B12 and folate level of all patients were measured and treatment with metformin 500 mg twice a day was given for 6 months. After 6 months serum vitamin B12 and folate level of all patients were re-evaluated.Results: There was a significant positive correlation (r=0.824, p<0.001) between decrease in vitamin B12 and decrease in folate level after metformin treatment. When analysis for change in vitamin B12 is compared with change in MCV values after 6 months, negative correlation (r=-0.08, p>0.05) was obtained. A non significant correlation (r=-0.08, p>0.05) with change in level of serum folate and change in MCV values or haemoglobin level was obtained.Conclusions: Low serum vitamin B12 level is associated with longer duration and higher dose of metformin use. Routine determination of vitamin B12 level in patients with type 2 DM on high dose of metformin and those with prolonged use of metformin might help in identifying patients that would benefit from vitamin B12 supplements.
Medicinal uses of Cannabis sp . Usos medicinais de Cannabis sp

The therapeutic properties of Cannabis have been described since antiquity and are of great relevance for the Egyptian, Chinese, Indian, Arab and Latin people. Cannabis-based medicines show several therapeutic purposes, mainly to treat disorders as constipation, some types of pain, epilepsy, anxiety and among others. In addition, the genus Cannabis exhibits great clinical relevance due to its Central Nervous System activities attributed to some phytochemicals compounds, as cannabidiol and Δ9-tetrahydrocannabinol. The interest in the pharmacological properties of Cannabis is growing and several new studies are being carried out to prove its pharmacotherapeutic use which are important to design of novel drugs with different routes of administration and for multiple pathologies resistant to the conventional treatments. In this context, there is a pressure on countries to review the laws that still limit the research development related to medicinal Cannabis purposes. Herein, our aim is to perform an overview about the plant, endocannabinoid system, Cannabis-based medicines and clinical uses, regulatory aspects of Cannabis sp and its chemical compounds of therapeutic interest.
Vetting and verifying multimodal false information. A challenge for democratic societies

The rapid proliferation of fake news is a challenge for free societies, founded on freedom of expression and information, endangering their democratic systems through audience confusion. Fake news is a type of disinformation with the ability to alter the logical orientation of readers, and as evidenced in different academic publications, it can radicalize the citizen and favour violence. This news is also created to confuse audiences and reinforce certain trends. This is important enough to produce a scientific interest in information science studies and urge the creation of tools capable of detecting and identifying this type of news, especially those disseminated by social networks, where a personal relationship is maintained with the group. In these close and friendly social spaces, users experience more induced forgetfulness than when interacting with strange social groups, that is, the convergence of memory is more likely to occur within the same group. There is a danger that false news and collective false memories could become the price of defending freedom of expression. The increase in misinformation can alter individual and collective memories in a worrying way. Understanding how and why false memories form could offer some protection the next time a massacre that never took
Modern methods used in production-operations management

Climate change, resource depletion, technical progress, growing consumer awareness and changing requirements causes companies to look for new production methods. They may concern various areas of the company’s activity, starting from product design, procurement organization, optimization of production processes, control of manufactured products and services, through improvement of work organization and reduction of production costs, and ending with the implementation of modern solutions based on digital technologies. The purpose of implementing new production methods is to improve labour mobility, optimization of the use of raw materials and resources, costs reduction, increase efficiency, productivity, etc. In the literature, there are many different types of methods that can be used by modern enterprises. It is practically impossible to present all methods in this study. The authors focused on the presentation of selected methods, which are characterized on the one hand by innovation and, on the other hand, by the possibility of implementation. Particular attention should be paid to methods focused on environmental aspects. This group presents basic information on environment-conscious manufacturing (ECM), life-cycle assessment (LCA) and waste management and recycling. These methods allow to implement the concept of sustainable development and are directly related to the 17 goals set out in the 2030 Agenda for Sustainable Development and adopted by UN member states. In the group of methods related to next generation production management, the focus was on Matrix shop floor control and cooperative manufacturing. Of particular importance is cooperative management, because cooperation in practice is considered as a specific resource and one of the most important factors of a competitive position. The next group of methods concerned production planning and control. Drum Buffer Rope (DBR) and theory of constraints (TOC) were discussed as part of it. From the company’s point of view, methods related to manufacturing processes are very important, including group technology (GT) and cellular manufacturing (CM). Another group focused on commercial aspects, including demand chain management (DCM) and competitive intelligence (CI). The chapter also presents methods related to auxiliary software support, advanced organizational manufacturing and focused on product design. In the first case, Electronic Data Interchange (EDI) was discussed, in the second, virtual enterprises (VE) and World Class Manufacturing (WCM) were presented, and in the third, the assumptions concerning the Quality Function Deployment (QFD) and House of Quality (HOQ) method were shown. Additionally, Statistical Process Control (SPC) and Computer-Aided Process Planning (CAPP) are discussed within the framework of methods focused on cost and quality manufacturing.
APTITUD FÍSICA EN DEPORTISTAS ADOLESCENTES TEMPRANOS DE DEPORTES DE COMBATE

The aim of this research was to obtain reference data of early adolescent athletes of Judo, Taekwondo and Wrestling in a set of physical fitness tests, and to evaluate relationships between the tests. A battery of field tests was implemented: Handgrip strength (HAST), Abalakov, Countermovement and Squat jumps (ABJ, CMJ and SQJ), 0-10 m Sprint acceleration (0-10SA) and Sit Rev.int.med.cienc. act. fís. deporte vol. 21 número 82 ISSN: 1577-0354 254 and reach flexibility (SARF). Pearson’s r was used to assess correlations between the physical capacities. Covariance analyses were carried out to evaluate comparatively the performances in HAST, ABJ, CMJ, SQJ, 0-10SA and SARF. SARF showed negligible correlations with the rest of the tests. The differences between boys and girls seemed to remain constant across sports. The judokas and taekwondists showed higher performances ABJ, and the taekwondists revealed higher performances than the wrestlers in CMJ, SQJ and SARF.
Creating new problems on proving inequalities, finding maximum and minimum values based on the critical properties and tangent inequalities of convex and concave functions

In this paper, we present some ideas and methods to create new problems of proving inequalities, problems of finding maximum and minimum values. Based on the maximum and minimum properties and tangent inequalities of convex and concave functions, we propose some ideas and methods to create new problems. We make all ideas and methods to be real via many specific functions. Especially, we combine the ideas and methods with equivalent transforms, Cauchy-Schwarz inequality, and inequality of arithmetic and geometric means to create new hard problems. New proposed examples, they have showed that our ideas and methods are important and efficient to lecturers at high schools and universities in giving questions in examinations, especially in examinations of selecting good students at levels, in Olympic examinations for high school and university students.
The Incidence of Ovarian Involvement in Endometrioid Endometrial Adenocarcinoma: A Retrospective Analysis

1. Preventative Gynecology Research Center, Imam Hossein Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran 2. Department of Gyneco-oncology, Shahid Beheshti University of Medical Sciences, Tehran, Iran 3. Department of Obstetrics and Gynecology, Iran University of Medical Sciences, Tehran, Iran 4. Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran 5. Department of Pathology, Imam Hossein Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran