Miracle-dz/UniFAR-FTUs huggingface dataset:
Retention of Non-Metal Single Crown Coping Supporting Single Implant Mandibular Overdenture (In –Vitro Study)

Purpose: This study aimed to evaluate the retention of single implant mandibular overdenture using different single crown coping materials. Materials and Methods: Clear acrylic resin mandibular cast was fabricated with single implant located in the mid-line of the cast. The cast with the implant was scanned for designing of nine copings of different materials using computer aided design computer aided manufacture CAD/ CAM and according to material used for copings fabrication, models were categorized as follow: Poly etherether ketone (PEEK) group, Zirconium dioxide (ZrO2) group, hybrid composite resin coping group. Nine identical mandibular complete overdentures were constructed, tensile force for removing overdenture with copings was then recorded. Results: Comparison of recorded tensile strength results showed a significant difference among groups where the highest retention was recorded with Zirconia group, followed by PEEK and the lowest retention results were noted with Hybrid composite resin. Conclusion: Within the limitation of this in vitro study, it could be concluded that single crown that fabricated from ZrO2 for supporting implant supported overdenture showed better retention results in comparison to PEEK a hybrid composite one.
ANALYSIS OF COMPENSATION, COMPETENCE, SELF EFFICACY AND JOB SATISFACTION ON NURSE PERFORMANCE

The purpose of this study was to examine the effect of compensation, competence and self-efficacy on job satisfaction and its impact on the performance of inpatient nurses in the Patut Patuh Patju Hospital. Collecting data using the census method with a number of respondents 63 nurses. Primary data collection was carried out by distributing questionnaires which were prepared using a Likert scale and then analyzed using the Structural Equation Model (SEM) with the Partial Least Square (PLS) program. The results showed that the compensation variable had a significant effect on job satisfaction and nurse performance. The competency variable has no significant effect on job satisfaction, but has a significant effect on nurse performance. The selfefficacy variable has no significant effect on job satisfaction. but has a significant effect on nurse performance. Job satisfaction variable has a significant effect on nurse performance. The conclusion of this study is that the variables of compensation, competence, selfefficacy, and job satisfaction have a significant effect on the performance of inpatient nurses in the Patut Patuh Patju Hospital Gerung.
UKB.COVID19: an R package for UK Biobank COVID-19 data processing and analysis

COVID-19 caused by SARS-CoV-2 has resulted in a global pandemic with a rapidly developing global health and economic crisis. Variations in the disease have been observed and have been associated with the genomic sequence of either the human host or the pathogen. Worldwide scientists scrambled initially to recruit patient cohorts to try and identify risk factors. A resource that presented itself early on was the UK Biobank (UKBB), which is investigating the respective contributions of genetic predisposition and environmental exposure to the development of disease. To enable COVID-19 studies, UKBB is now receiving COVID-19 test data for their participants every two weeks. In addition, UKBB is delivering more frequent updates of death and hospital inpatient data (including critical care admissions) on the UKBB Data Portal. This frequently changing dataset requires a tool that can rapidly process and analyse up-to-date data. We developed an R package specifically for the UKBB COVID-19 data, which summarises COVID-19 test results, performs association tests between COVID-19 susceptibility/severity and potential risk factors such as age, sex, blood type, comorbidities and generates input files for genome-wide association studies (GWAS). By applying the R package to data released in April 2021, we found that age, body mass index, socioeconomic status and smoking are positively associated with COVID-19 susceptibility, severity, and mortality. Males are at a higher risk of COVID-19 infection than females. People staying in aged care homes have a higher chance of being exposed to SARS-CoV-2. By performing GWAS, we replicated the 3p21.31 genetic finding for COVID-19 susceptibility and severity. The ability to iteratively perform such analyses is highly relevant since the UKBB data is updated frequently. As a caveat, users must arrange their own access to the UKBB data to use the R package.
Mechanical and Thermal Characterisation of Millscale Modified Al-Cu Alloy for Artificial Intelligence Systems

Continuous research into critical functional property enhancement of materials employed in artificial intelligence systems is imperative to overcome performance limitations. This study investigated the thermal and mechanical properties of stir-cast fabricated Al-Cu alloy modified with addition of iron-millscale (IMS) particles varied from 2-6 wt. %. The alloys microstructure was analysed using both optical and scanning electron microscope coupled with energy dispersive spectroscopy (SEM/EDS). PerkinElmer Thermogravimetry/Derivative thermal analyser was used to assess the alloys thermal characteristics while the mechanical properties were evaluated using relevant state of the art equipment. Results show that the best thermal and mechanical properties comparable to established standards were achieved at 6 wt. % IMS particle addition. Contributions to the alloy enhanced performances stemmed from the structure refining propensity of IMS particles. Based on the thermal and mechanical properties demonstrated, the alloy is recommended for application in pneumatic offshore valve actuator used in oil and gas flow process lines.
A Corpus-Based Study of the Arabic Lemma /mαṯαr/ (rain) and its Inflections in the Glorious Qur’an: A Linguaculture Perspective

Rain is always linked in the human mind with prosperity and growth. However, this is not the case with all occurrences of the word rain and its inflections in the Glorious Qur’an. This paper focuses on studying the Arabic lemma رطم /mαṯαr/ (rain) and its inflections in the Glorious Qur’an. The presented research elucidates the unusual collocations of this word in all its occurrences, and deduces the semantic prosody indicated by these collocations. Moreover, the paper touches on the link between language and culture, and points out the strong relation between them, and the mutual effect of each of them on the other. This work takes a linguacultural approach based on corpus linguistics to analyse the Qur’anic verses in which the lemma رطم /mαṯαr/ (rain) and its inflections occur. The study focuses on the collocations and the indicated semantic prosodies of this lemma. Sketch Engine is used to help in analysing the verses by automatically obtaining the concordances and collocations. After that, the indication of the semantic prosody of the lemmas and their collocations are deeply investigated. Furthermore, the paper gives an informative background on the relation between language and culture, and the effect of these two fields on each other. A brief on corpus linguistics and the importance of automatic tools, such as Sketch Engine, is also given. One of the main revelations of the qualitative and quantitative analyses presented in this paper is that all instances of رطم /mαṯαr/ (rain) in Qur’an have ‘negative’ semantic prosody, while its other synonyms all have ‘positive’ semantic prosodies.
Intelligent Process Automation of Industries Using Artificial Intelligence and Machine Learning

The application of Disruptive Technologies (DT), using Artificial Intelligence (AI) and Machine Learning (ML), is still a challenge for many industries in the modern age. Quick transformation of business’ models and enhancement of consumer expectation are fundamental elements of Intelligent Process Automation (IPA) to boosting delivery and production of goods and services. In this research contribution, we will evaluate IPAs and their influence in the management of industries. In that case, major elements of AI and ML will be discussed comprehensively. Areas of application and analysis will be discussed in relation to digital industries. The results in this contribution will be used as a recommend action plan for industries to enhance their management and optimization when it comes to AI and ML.
Long-term measurements of energy production of solar photovoltaic panels

This article deals with the forecast of solar energy in Latvia. Latvia characterizes with rather low irradiances and high nebulosity, but long days in summer in comparison to traditional solar energy using in the southern countries. Two stationary mounted and two tracking to sun solar photovoltaic (PV) panels Solet 60.6WF-250, the surface area 1.6 square meters for each, are studied in this article. Measurements are done in Ulbroka, Latvia, on the roof of the Ulbroka Scientific Centre. Energy produced by panels is entered into the public electricity grid using the solar micro invertor Enphase with MPPM function and registered by Envoy. The Enphase Micro inverter converts the DC output of the PV module into grid-compliant AC power and continuously adjusts electrical parameters for the maximum power gain. Daily energy sums are registered from April 1 till December 31 of 2020. Daily energy sum from the mentioned system can reach 10 kWh on a clear summer day, but in November and December the daily energy sum produced is near to zero. Total energy gain from the mentioned system (with total area of solar panels 6.4 square meters) in the whole mentioned time period is approximately 940 kWh. Measurements are compared to theoretical daily energy sums of solar radiation taking into account also nebulosity. Data on the nebulosity are taken from the public homepage of the Latvia Environment, Geology and Meteorology Centre. Such comparison allows to estimate real efficiency of panels. We obtained the efficiency 1213%, what is little bit less than 15% given in the technical characteristics of the panel given by the producer. Described calculations can be used for forecast of received solar energy if nebulosity forecast (real or many years mean for every day) is known. The method can be used for any location worldwide.
A2X: An Agent and Environment Interaction Benchmark for Multimodal Human Trajectory Prediction

In recent years, human trajectory prediction (HTP) has garnered attention in computer vision literature. Although this task has much in common with the longstanding task of crowd simulation, there is little from crowd simulation that has been borrowed, especially in terms of evaluation protocols. The key difference between the two tasks is that HTP is concerned with forecasting multiple steps at a time and capturing the multimodality of real human trajectories. A majority of HTP models are trained on the same few datasets, which feature small, transient interactions between real people and little to no interaction between people and the environment. Unsurprisingly, when tested on crowd egress scenarios, these models produce erroneous trajectories that accelerate too quickly and collide too frequently, but the metrics used in HTP literature cannot convey these particular issues. To address these challenges, we propose (1) the A2X dataset, which has simulated crowd egress and complex navigation scenarios that compensate for the lack of agent-to-environment interaction in existing real datasets, and (2) evaluation metrics that convey model performance with more reliability and nuance. A subset of these metrics are novel multiverse metrics, which are better-suited for multimodal models than existing metrics. The dataset is available at: https://mubbasir.github. io/HTP-benchmark/.
Productivity and carbon dioxide (CO2) emissions of compact class Vimek 404 T5 harvester in thinning of young birch stands in afforested cropland

The aim of the study is to evaluate the productivity and carbon dioxide (CO2) emissions of the compact class Vimek 404 T5 harvester in thinning of birch plantations, including the determination of production costs to evaluate the possibility to use compact class forest machines in management of woody shelter belts around drainage systems in farmlands. A total of 69 m of logs were prepared in the experiments, the average diameter of the sawn tree was 10 cm (average stem volume was 0.06 m). The average productivity of the harvester is 6.2 m per productive hour. Logging costs, according to the assumptions used in the study, are 21.1 EUR·m (under the bark), including 8.1 EUR·m of logging costs. The total CO2 emitted to produce and forward 1 m of timber (about 235 kg of carbon) is 3.6 kg, excluding chipping (1.3 kg m). According to the study results the hourly cost and CO2 emissions of a Vimek 404 T5 harvester is significantly smaller than of a middle-class harvester due to lower fuel consumption, maintenance costs and initial investments.
Characteristics of mangosteen rind peel off gel mask masker (Garcinia mangostana L.) with various concentrations

Mangosteen (Garcinia mangostana L.) is a plant that has purplish-red fruit consisting of fruit flesh and fruit skin. The fruit's skin contains antioxidant compounds needed in facial skin rejuvenation in cosmetic products such as peel-off gel masks. This study aims to determine the best concentration of mangosteen rind extract for peel-off gel masks. The research consisted of two stages: the manufacture of mangosteen rind extract and peel-off gel mask. Mangosteen rind in powder form was soaked in 96% ethanol solution in a ratio of 1:5 for 24 hours and then filtered. The solution was extracted by the maceration method and then evaporated using a rotary evaporator. Antioxidant activity was carried out using the DPPH method. The peel-off gel mask consists of PVA (polyvinyl alcohol), HPMC (hydroxypropyl methylcellulose), methylparaben, propylene paraben, and propylene glycol with the addition of mangosteen rind extract of 10g (F1), 20g (F2), and 40g (F3). The results showed that the IC50 value obtained was 7.33 ppm. All treatments had a pH between 5.98-6.41 which was following the 1996 SNI for facial skin. The viscosity of the peel-off gel mask in all treatments ranged from 11606-23012.5 cps and was following SNI 1996. The drying time of the mask took between 29-38 minutes. The best peel-off gel mask was the F3 treatment compared to the F1 and F2 treatments for a long time. The addition of mangosteen rind extract to the peeloff gel mask preparation has a powerful antioxidant ability and is following SNI 1996 on pH and viscosity.
PERSPECTIVE OF INTERNAL COMBUSTION ENGINE

Problem. For expert studies of the technical condition of a car, a difficult task is to determine the causes and development of malfunction of engine mechanisms and systems. The paper proposes a model of engine malfunction during overheating, including in emergency mode caused by rapid loss of coolant. It has been established that thermal damage to the cylinder head is possible within 10 seconds after the cooling failure. The piston heats up more slowly and can only be damaged in the upper part and for a much longer time. According to the results of the study, it was found that in the event of an emergency loss of coolant, the driver does not have the technical ability to see the temperature rise, which may be important when investigating the causes of engine malfunctions associated with overheating. Goal. The goal is to investigate and reproduce the model of engine failure after overheating. Methodology. The theoretical calculated data are confirmed by real experimental studies of engine overheating failures. Results. It was calculated by calculation that in the absence of coolant, the temperature sensor, if it is located on the outlet pipe of the cylinder head, will not increase the temperature until the engine fails. A certain definite character of malfunction of parts of engine mechanisms during its sudden overheating is shown. Originality. On the basis of the developed models, a methodology was drawn up and the calculation of the thermal state of engine parts after overheating was performed. Practical value. The research carried out and the computational models compiled allow the expert to make a more objective assessment of the development of the engine malfunction mechanism when it overheats during the operation of the car.
Effects of Extracorporeal Shockwave Therapy on Clinical and Neurophysiological Indices of Spasticity Inpatients With Upper Motor Neuron Lesions: A Systematic Review and Meta-analysis

Objective: Spasticity is one of the components of an Upper Motor Neuron (UMN) lesion that occurs usually after a period of flaccidity in the form of velocity-dependent resistance to passive stretch. Spasticity is a significant cause of limited mobility and disability in neurological diseases. There are several clinical approaches to control spasticity. Recently, Shock Wave Therapy (SWT) has been reported to be a new, safe, and effective method for reducing spasticity for people with upper motor neuron lesions. We conducted a meta-analysis of relevant clinical trials to assess the effect of applying SWT on spasticity in UMN lesions. Materials & Methods: An electronic search was performed in PubMed, ISI Web of Science, Scopus, Science Direct, MEDLINE, and Google scholar from January 2005 to January 2020. Studies were included if they measured spasticity with the Modified Ashworth Scale (MAS) or/and neurophysiological indices in patients with stroke, multiple sclerosis, and cerebral palsy. The keywords of muscle hypertonia or spasticity, extracorporeal shock wave therapy, stroke, multiple sclerosis, and cerebral palsy were used. Two independent researchers searched articles, screened eligible studies against the inclusion criteria, and assessed the methodological quality of included studies. The methodological quality of studies was evaluated using the Downs and Black tool. The difference between the means was considered as the effect size in the MAS and Hoffman reflex/motor response (H/M) ratio before and after the intervention with 95% CI in random-effects models. Analyzes were performed using STATA software version 11. Results: The initial search led to the retrieval of 98 studies based on the inclusion and exclusion criteria, of which 24 full-text articles were reviewed and 14 articles were included in the meta-analysis process. All 14 articles had examined the effects of shockwave on the MAS. Four studies with 120 patients had examined the effects of shockwave therapy on the H/M ratio. Significant reduction in MAS grade was observed immediately [I2 = 100%, P<0.001, SMD=1.38 with 95%CI: (0.80, 1.87)] and three months after SWT [I2 = 100%, P<0.001, SMD=1.13 with 95%CI: (0.50, 1.76)] in comparison with the baseline values. ESWT had no significant effects on the H/M ratio [I2 = 97.5%, P<0.001, SMD=1.09 with 95%CI: (-0.54, 2.73)]. Conclusion: SWT can improve spasticity based on the MAS. The lack of SWT effects on the neurophysiological parameter of spasticity supports this opinion that SWT acts on the non-neural component of spasticity. Differences observed in studies in terms of treatment sessions, intervals of treatment sessions, energy density, number of shocks, and follow-up duration need to be examined more closely. More randomized clinical trials are needed in the future to analyze the impact of these factors on the efficacy of SWT for spastic patients.
Perceptions of the state of health services and the Brexit vote

The reasons behind the Brexit have been extensively analysed. Different studies have focused on factors as diverse as age, education, ethnicity, income, social class, unemployment, religion, immigration, and the support for parties and leaders, amongst others. No work has however studied the impact of perceptions of the quality of health services. This void is surprising because the Brexiteers repeatedly (and misleadingly) promised that 350 million pounds a week would be spent on the National Health Service (NHS) should the exit option triumph. As people who perceive health services to be bad might benefit from a better endowed NHS, we expect them to show a higher propensity to vote leave. Our results provide strong support for this, even when a wide array of controls is considered. This finding constitutes an original contribution to a crucial international political issue and stresses the importance of perceptions and fake news for voting behaviour.
CMAR_A_262745 7527..7537

State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People’s Republic of China Abstract: Interleukin (IL)-33 is a member of the IL-1 superfamily and is a crucial cytokine playing the role of a dual-function molecule. IL-33 mediates its function by interacting with its receptor suppression of tumorigenicity 2 (ST2), which is constitutively expressed on T helper (Th)1 cells, Th2 cells, and other immune cells. Previously, we summarized findings on IL-33 and performed an intensive study of the correlation between IL-33 and tumor. IL-33 enables anti-tumor immune responses through Th1 cells and natural killer (NK) cells and plays a role in tumor immune escape in cancers via Th2 cells and regulatory T cells. Herein, we discuss the contradictory role of IL-33 in immune cells in different cancer, and our summaries may be helpful for better understanding of the development of research on IL-33 and tumor immunity.
Continuing education and active methodologies in distance courses in nursing: integrative literature review

| Objective: To verify and discuss the active teaching methodologies adopted in the education of nurses in distance learning courses. Method: The research was approved by the Research Ethics Committee of the Federal University of São Paulo. An integrative literature review was carried out on databases using the following descriptors and their combinations: Distance Education, Nursing and Active Methodologies. Results: It was observed that 33,3% of the studies promoted learning through a virtual learning environment, 30,3% used the e-learning format and 12.1% used a hybrid method. Conclusion: Active teaching methodologies have been used in training courses for health professionals, including nursing, and have contributed positively to the quality of care provided to patients.
Artificial intelligence: Explainability, ethical issues and bias

Artifi cial Intelligence (AI) is a topic of growing signifi cance for businesses as well as academic researchers. Its applications encompass many domains such as healthcare [1], fi nance [2] and manufacturing [3]. Artifi cial intelligence is represented in general purpose smart technologies that give the machines the ability to imitate human intelligence and perform complex tasks. Communicating with the machine using natural language, operating autonomous and adaptive assembly lines, and predicting supply chain demand stock market fl uctuations are all examples of AI implementation in industrial contexts. Investigating the literature and despite AI’s broad range of applications in several industry domains, till now, there is no agreement on a unifi ed defi nition of artifi cial intelligence. For instance Simmons and Chappell [4], defi ne AI as the term that “denotes behaviour of a machine which, if a human behaves in the same way, is considered intelligent”. Also Kumar, et al. [5], describe AI as the “A system’s ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specifi c goals and tasks through fl exible adaptation”. Consequently, it can be inferred that AI is not confi ned to limited number of applications, but rather it is considered as a pervasive economic, societal, and organizational phenomenon.