Miracle-dz/UniFAR-FTUs huggingface dataset:
Speech Act Representation of Doctor – Patient Interactions in Grey’s Anatomy Serial

The transition from face-to-face learning to distance learning is an example of COVID-19 pandemic effect. This condition is a challenge especially for vocational-based nursing education providers because during the COVID-19 pandemic the experience of students interacting with patients tends to be restricted. To identify the context of the interaction between medical personnel and patients, this study aims to identify the linguistic representation used by doctors when interacting with patients based on the type of speech used in the conversations. This study used a descriptive research design with a qualitative approach. The data source used was the doctor's speech in Grey's Anatomy. The analysis followed a theory of the types of speech action initiated by Searle. The results of this study indicate that the speech acts used by doctors can be categorized into representative (48.57%), directive (37.14%), commissive (8.57%), and expressive (5.71%). The results of this study are expected to enrich the teaching materials of English for Specific Purposes subject for Nursing students.
Knowledge, perception and beliefs of human health workers and veterinarians on antimicrobial resistance in Ouagadougou, Burkina Faso

Medical Biology Laboratories, Health Ministry, P. O. Box 7022, Ouagadougou 03, Burkina Faso. 2School of Sciences, Health and Technologies, Saint Thomas d ́Aquin University, P. O. Box 10212, Ouagadougou 06, Burkina Faso. Laboratory of Molecular Biology, Epidemiology and Surveillance of Bacteria and Viruses Transmitted by Food (LaBESTA), Center for Research in Biological, Food and Nutritional Sciences (CRSBAN), Graduate School of Science and Technology (EDST), University Professor Joseph KI-ZERBO, Ouagadougou 03 BP 7021, Burkina Faso. Tengandogo Teaching Hospital, P. O. Box 104, Ouagadougou CMS 11, Burkina Faso. Souro Sanou University Hospital, Bobo-Dioulasso, Burkina Faso. Livestock National Laboratory, P. O. Box 907, Ouagadougou 09, Burkina Faso.
The design and delivery of stress management in professional sport

The professional arena in which sport performers operate can be a breeding ground for stress. Despite the limited investigation of professional sport performers and their experiences of stress, the research conducted to date suggests that these individuals encounter a range of competitive and organizational stressors that are an inherent aspect of the organization in which they are contracted to operate. These stressors can typically lead to a range of adverse outcomes for well-being and performance if they are not appropriately managed. It is therefore important for psychologists to obtain a stronger evidence-base for understanding these performers’ experiences of stress in this organizational setting. By understanding the ways in which these individuals interact and adapt to their professional environment, this can inform the design and evaluation of organizational stress management interventions aimed to optimise performers’ well-being and performance. In so far that the evidence base for effective organizational interventions is limited, evaluating the effectiveness of organizational stress management interventions in sport organizations will make a strong contribution to psychologists’ knowledge of the conditions by which such initiatives may be effective in this organizational context. To make a contribution to the evidence base in this area, the purpose of this thesis was to examine the management of stress as it is experienced in a professional sport organization. [Continues. ]
FRIENDSHIP QUALITY IN SAME-SEX FRIENDSHIP AMONG ADOLESCENTS

A high quality friendship is good for health and longetivity. Friendship is a relationship in which two people spend a great deal of time together, interact in a variety of situations, and provide emotional support to each other. A closed friend is always valued for his or her sensitivity and honesty. There is a limited literature on the role of friendship quality among adolescents. To address this gap, the present study aimed to assess the gender differences on four indices of friendship quality (closeness, help, acceptance and safety). A sample of 64 participants (32 male and 32 female) was collected for the study. Friendship Quality Scale was used as a tool to assess four dimensions of friendship. t test was used for the analysis. The mean scores indicated that females provide more safety, show more acceptance, closeness and are more helping than males. Results indicated a significant difference on closeness and help dimensions of friendship quality. No significant difference was found on safety and acceptance dimensions of friendship quality. Significant difference was also found for overall friendship quality.
ICLR 2022 ? 1 ? ? ? ? Predict visual features at ? ? ?

We introduce environment predictive coding, a self-supervised approach to learn environment-level representations for embodied agents. In contrast to prior work on self-supervised learning for individual images, we aim to encode a 3D environment using a series of images observed by an agent moving in it. We learn these representations via a masked-zone prediction task, which segments an agent’s trajectory into zones and then predicts features of randomly masked zones, conditioned on the agent’s camera poses. This explicit spatial conditioning encourages learning representations that capture the geometric and semantic regularities of 3D environments. We learn the representations on a collection of video walkthroughs and demonstrate successful transfer to multiple downstream navigation tasks. Our experiments on the real-world scanned 3D environments of Gibson and Matterport3D show that our method obtains 2 6× higher sample-efficiency and up to 57% higher performance over standard image-representation learning.
Energy efficiency in pea organic production

Efficient use of energy in agriculture will minimize environmental problems, prevent the degradation of natural resources and improve sustainability. The purpose of this study was to determine the energy use in pea organic production and to compare it with conditions of conventional production through the following parameters: energy value of forage, energy input/ output, energy efficiency. The organic system included eight variants with alone and combined application of organic nanoferilizers Lithovit (2000 g ha-1) and Nagro (500 ml ha-1), and bioinsecticides Madex (600 ml ha-1) and Agricolle (1000 ml ha-1). They are compared with a conventional system (three variants with alone and combined application of synthetic fertilizer Kristalon (5000 g ha-1) and insecticide Proteus (600 ml ha-1) as well as with a control variant. The results showed that pea growing in organic production conditions required energy inputs of 8580.65 MJ ha-1. The obtained energy had increased values (96582.87 MJ ha-1 for GE, 55916.47 MJ ha-1 for ME and 32972.42 MJ ha-1 for NE) and differences from 10.3 to 38.1% compared to the control. In conventional growing, energy consumption and energy outputs were similar to those in organic growing, especially regarding ME and NE. The close values of energy input and output in the organic and conventional production determined and close coefficients of energy efficiency for both productions (11.08 and 11.06). As the most energy efficient variant can be determined the combined application of Lithovit and Madex which increased the energy efficiency by 26.7% (for GE) compared to the control. With high efficiency was distinguished also the alone treatment with organic fertilizer Lithovit (20.8%) and the organic combination of Nagro with Madex (19.7%). Under conventional production, maximum energy efficiency was found in the synthetic combination of Kristalon with Proteus, whose effect was equivalent to that of the organic fertilizer Lithovit.
Evaluation of the price transmission in the commodity chain of milk and butter in the Czech Republic

Lekesová, J. & Blazkova, I. (2022). Evaluation of the price transmission in the commodity chain of milk and butter in the Czech Republic. Bulg. J. Agric. Sci., 28 (3) , 369–375 The paper deals with the price transmission within the milk commodity chain in the Czech Republic. The aim of the paper is to assess the price transmission within the commodity vertical of the semi-skimmed long-life cow’s milk (1.5% fat) as a product with low added value, and of butter as a higher added value product. The dataset consists of monthly prices on the sub-markets of the analysed commodity chain with the period of January 2002 to August 2020 that were retrieved from the Czech Statistical Office and the Ministry of Agriculture of the Czech Republic. Methodologically, the analysis is based on the elasticity of price transmission (EPT) coefficients used in both supply and demand direction, on the correlation of price differences, and on the evaluation of the time-lag changes in output prices in case of changes in input prices. The results show imperfections in the transmission of price changes between individual levels of the commodity chain. Time delays of price transmission are not obvious in the case of these commodities due to the perishability of these products. Finally, several suggestions for further research are given.
On the Analysis of ships' Oscillations as a Time Series

The oscillations of ships under voyage are produced by the ocean waves, and the ocean waves contain randum elements like the other geophysical phenomena. Recently the theory of probability and statistical inference were used as a means of analysis of these geophysical phenomena. That is to say, the record of these phenomena were used as a Time Series that contained the elements of variance that follow the laws of randumness. If the compulsory force upon ships were regarded like this process, the oscillations of ships produced by that force may be regarded similarly.I studied the motions of ships from this standpoint, and succeeded in analizing them as a Stationary Time Series.At frst I made it clear that the Correlogram of the time series of ships oscillation can be regarded as a sample of a certain Auto-regressive Process, and then introduced the method of analysis of the theoretical Correlogram and the Spectrum Density of ships oscllations.As a result, the following things became clear : -(i) The prominent period of oscillations of ship can be found clearly from a rather irregular record by means of the Periodograms of Time Series. (ii) Analiying by the method of Harmonic Analysis, we can get the periods and amplitudes of the elemental waves of oscillations that are tested the level of significance from the standpoint of statistical inference. (iii) By calculating Correlograms from the record of oscillations of ships that are under way on ocean waves, we can get the real period and the damping factor of the elements of its oscillations, which could not be found correctly until now. (iv) By making a Fourier-Cosine Inversion from the Correlogram, we can directly obtain a Spectrum of a ships oscillation and can clarify the construction of the compulsory force upon the ship, composed of the period and the damping of elements of ocean waves. (v) If we synthesize the Correlogram of ocean waves and the nature of a ship's free oscillations, we can obtain a theoretical Correlogram and Spectrum of a ship's motion on waves, and from this the knowledge of a ship's forced motion on irregular waves.And by this method, I analized several records of oscillations of the Aomori-Hakodate Train Ferry Ship, and made clear many points of characteristics of this ship that were unknown for us untill now.
Psychosis spectrum symptoms among individuals with schizophrenia-associated copy number variants and evidence of cerebellar correlates of symptom severity

The 3q29 deletion syndrome (DS) is a copy number variant (CNV) with the highest known effect size for psychosis-risk (>40-fold increased risk). Systematic research on this CNV offers promising avenues for identifying mechanisms underlying psychosis and related disorders. Relative to other high-impact CNVs like 22q11.2DS, far less is known about the phenotypic presentation and pathophysiology of 3q29DS. Emerging findings indicate that posterior fossa abnormalities are common in 3q29DS; however, their clinical relevance is unknown. Here, we report the first in-depth evaluation of psychotic symptoms in study subjects with 3q29DS (N = 23), using the Structured Interview for Psychosis-Risk Syndromes (SIPS), and compare to SIPS data from 22q11.2DS participants (N = 31) and healthy controls (N = 279). We also investigate the relationship between psychotic symptoms, cerebellar morphology, and cystic/cyst-like malformations of the posterior fossa in 3q29DS by structural brain imaging. Cumulatively, 48% of the 3q29DS sample exhibited a psychotic disorder or attenuated positive symptoms. Among 3q29DS individuals with attenuated symptoms, 43% met the frequency and timing criteria for a formal attenuated psychotic symptom syndrome. Males with 3q29DS scored higher in negative symptoms than females. 3q29DS participants had more severe ratings than controls on all domains and exhibited less severe negative symptoms than 22q11.2DS participants. An inverse relationship was identified between positive symptom severity and cerebellar cortex volume in 3q29DS, while cystic/cyst-like malformations yielded no clinical link with psychosis. Overall, our findings establish the unique and shared profiles of psychotic symptoms across two CNVs and highlight cerebellar involvement in elevated psychosis-risk in 3q29DS.
The relationship between BMI and COVID-19: exploring misclassification and selection bias in a two-sample Mendelian randomisation study

Objective: To use the example of the effect of body mass index (BMI) on COVID-19 susceptibility and severity to illustrate methods to explore potential selection and misclassification bias in Mendelian randomisation (MR) of COVID-19 determinants. Design: Two-sample MR analysis. Setting: Summary statistics from the Genetic Investigation of ANthropometric Traits (GIANT) and COVID-19 Host Genetics Initiative (HGI) consortia. Participants: 681,275 participants in GIANT and more than 2.5 million people from the COVID-19 HGI consortia. Exposure: Genetically instrumented BMI. Main outcome measures: Seven case/control definitions for SARS-CoV-2 infection and COVID-19 severity: very severe respiratory confirmed COVID-19 vs not hospitalised COVID-19 (A1) and vs population (those who were never tested, tested negative or had unknown testing status (A2)); hospitalised COVID-19 vs not hospitalised COVID-19 (B1) and vs population (B2); COVID-19 vs lab/self-reported negative (C1) and vs population (C2); and predicted COVID-19 from self-reported symptoms vs predicted or self-reported non-COVID-19 (D1). Results: With the exception of A1 comparison, genetically higher BMI was associated with higher odds of COVID-19 in all comparison groups, with odds ratios (OR) ranging from 1.11 (95%CI: 0.94, 1.32) for D1 to 1.57 (95%CI: 1.57 (1.39, 1.78) for A2. As a method to assess selection bias, we found no strong evidence of an effect of COVID-19 on BMI in a 'no-relevance' analysis, in which COVID-19 was considered the exposure, although measured after BMI. We found evidence of genetic correlation between COVID-19 outcomes and potential predictors of selection determined a priori (smoking, education, and income), which could either indicate selection bias or a causal pathway to infection. Results from multivariable MR adjusting for these predictors of selection yielded similar results to the main analysis, suggesting the latter. Conclusions: We have proposed a set of analyses for exploring potential selection and misclassification bias in MR studies of risk factors for SARS-CoV-2 infection and COVID-19 and demonstrated this with an illustrative example. Although selection by socioeconomic position and related traits is present, MR results are not substantially affected by selection/misclassification bias in our example. We recommend the methods we demonstrate, and provide detailed analytic code for their use, are used in MR studies assessing risk factors for COVID-19, and other MR studies where such biases are likely in the available data.
Artificial Neural Network Performance Analysis for Solar Radiation Prediction, Case Study at Baron Techno Park

As stated in Government Regulation No. 79 of 2014 on National Energy Policy (KEN), the New and Renewable Energy (NRE) mix target is at least 23% by 2025. Now the utilization of solar energy in Indonesia has only reached about 0.05% or 100 MW. Government compiles a roadmap for the use of solar energy that targets the installed PV mini-grid capacity until 2025 is 6.5 GW. Technically, before installing a solar power plant, solar potential data is needed for a certain period of time. This is absolutely necessary considering the potential for solar is intermittent. The solar data are then processed to create a model forecasting so that it can optimize the resulting energy output. Forecasting using artificial intelligence with artificial neural network algorithms is a good solution because it has higher accuracy. To see the comparison of the performance of the ANN of this research with previous research. The finding shows that Baron 1-7-1 performed better than 2P 1-2-1 and Baron 1-2-1, regardless that the RMSE have a slight difference but still Baron 1-7-1 outperformed the others, with the best value of RMSE 0.15185 and R2 of 0.88996.
Diagnosis and Repair of the Cracking House Next to the River

Natural disasters and human error factors can cause damage to buildings. Human error causes various issues, including inadequate craftsmanship in the mixing of building materials and preliminary structural design and specification. Inadequate knowledge of the building’s structure and the type of soil on which it stands is also one of the fault designs in construction. This study utilises a case study methodology divided into three sections: soil analysis, building analysis, and techniques for avoiding and repairing the research object. A literature review is essential to ascertain the type of soil and the proper footing to utilise when examining the soil. In the building analysis, it is necessary to determine the damage of the building and its repair. These steps demanded were to prevent further damage by adding structures to reinforce existing structures in load distribution. After determining that the structure is safe from further damage, the final step is to repair the walls, floor, and ceiling. These improvements are part of an effort to ensure the building’s long term sustainability. The final phase in home restoration is to decorate the interior to make the residents feel comfortable.
Relationship between Self-Concept and Aggressive Behavior among Deaf Students

Hearing, language and speaking are the fundamental elements of communication. Communication difficulties among deaf adolescents can lead to significant interruptions in psycho-social development of the individuals. The study aimed to examine the relationship between self-concept and aggressive behavior among deaf adolescence. Descriptive correlational design was used to achieve the purpose of this study. This study was conducted at Al Amal School for deaf students in Shebin Elkom city, Menufia Governorate. A convenience sample of 60 deaf students from the above mentioned settings were recruited. Three Tools were used for data collections as :( 1)structured interview questionnaire to assess demographic data, (2) Self-concept scale to measure self-concept and (3) Aggression scaleto measure level of aggression among students. Results reveals that near to half of the studied sample have low self-concept, near to two third of the studied sample have moderate aggression, there is highly significant negative correlation between self-concept and total mean score of aggression . This is mean when self-concept increase aggression decrease and there is highly statistical significant difference between gender and both of self-concept and level of aggression among the studied sample. Based on the study finding it was concluded that, there was higher statistical significant difference between male and female among deaf students regarding self-concept and level of aggression. There was highly significant negative correlation between self-concept and total mean score of aggression Recommendation: Stress management and assertiveness training program should be given to those students to minimize level of aggression and improve their self-concept.
DB120348 3304..3313

Diabetic nephropathy (DN) is a progressive kidney disease, a well-known complication of long-standing diabetes. DN is the most frequent reason for dialysis in many Western countries. Early detection may enable development of specific drugs and early initiation of therapy, thereby postponing/preventing the need for renal replacement therapy. We evaluated urinary proteome analysis as a tool for prediction of DN. Capillary electrophoresis–coupled mass spectrometry was used to profile the low–molecular weight proteome in urine. We examined urine samples from a longitudinal cohort of type 1 and 2 diabetic patients (n = 35) using a previously generated chronic kidney disease (CKD) biomarker classifier to assess peptides of collected urines for signs of DN. The application of this classifier to samples of normoalbuminuric subjects up to 5 years prior to development of macroalbuminuria enabled early detection of subsequent progression to macroalbuminuria (area under the curve [AUC] 0.93) compared with urinary albumin routinely used to determine the diagnosis (AUC 0.67). Statistical analysis of each urinary CKD biomarker depicted its regulation with respect to diagnosis of DN over time. Collagen fragments were prominent biomarkers 3–5 years before onset of macroalbuminuria. Before albumin excretion starts to increase, there is a decrease in collagen fragments. Urinary proteomics enables noninvasive assessment of DN risk at an early stage via determination of specific collagen fragments. Diabetes 61:3304–3313, 2012
Effect of Intermediate Semiconducting TiOx Thin Films on Nanoparticle-Mediated Electron Transfer: Electrooxidation of CO

The concept of nanoparticle-mediated electron transfer (eT) across insulating thin films was elucidated theoretically by Allongue and Chazalviel in 2011. In their model, metal nanoparticles (NPs) are immobilized atop passivating, self-assembled monolayers (SAMs). They found that under certain conditions, related to the thickness of the SAM and the size of the NPs, efficient faradaic oxidation and reduction reactions could proceed at the NP surface. In the absence of NPs, however, eT was suppressed by the insulating SAM thin films. Allongue and Chazalviel concluded that, within certain bounds, eT is mediated by fast tunneling between the conductive electrode and the metal NPs, while the kinetics of the redox reaction are controlled by the NPs. This understanding has been confirmed using a variety of experimental models. The theory is based on electron tunneling; therefore, the nature of the intervening medium (the insulator in prior studies) should not affect the eT rate. In the present manuscript, however, we show that the theory breaks down under certain electrochemical conditions when the medium between conductors is an n-type semiconductor. Specifically, we find that in the presence of either Au or Pt NPs immobilized on a thin film of TiOx, CO electrooxidation does not proceed. In contrast, the exact same systems lead to the efficient reduction of oxygen. At present, we are unable to explain this finding within the context of the model of Allongue and Chazalviel.