Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Prevalence of Anemia according to Severity of Atopic Dermatitis

Background: Inflammatory diseases can increase the prevalence of anemia. Recent studies confirmed that the prevalence of anemia is increased by atopic dermatitis (AD), a chronic inflammatory disease. Therefore, we aimed to elucidate the correlation between AD severity and prevalence of anemia. Methods: We used data of pediatric patients from the Health Insurance Review and Assessment Service (HIRA-PPS-2016). We included pediatric patients ( < 18 years) with AD diagnosis who were prescribed medications for AD. We applied a propensity score method with inverse probability of treatment weighting (IPTW) adjusting for differences in prevalence of confounders and performed IPTW logistic regression to evaluate associations between the anemia and severity of AD. Results: In total, 91,501 patients (mild AD: 47,054 patients; moderate-to-severe AD: 44,447 patients) < 18 years who were prescribed drugs for AD were analyzed. Analysis of the probability of patients with mild AD and prevalence of anemia as a reference revealed an odds ratio (OR) of 1.159 (95% CI, 1.109-1.212; p < 0.001) in moderate-to-severe AD patients, indicating a correlation between anemia prevalence and AD severity. Subgroup analysis according to gender, age group, and type of health insurance revealed there was an association between AD severity and anemia except in patients equal or older than 7 years. Conclusion: The prevalence of anemia increased with AD severity despite adjusting for confounding factors. Our results support the hypothesis that AD can cause anemia, and anemia prevalence could be increased in severe AD patients. Further studies are needed to establish a pathological basis.
Factors Associated with Seasonal Influenza Vaccination Among Nursing Staff of Three Teaching Hospitals Affiliated to Kerman University of Medical Sciences, Iran

Background: Although seasonal influenza vaccination decreases infection rate and associated complications, its coverage rate is suboptimal in healthcare workers worldwide. Objectives: The present study aimed at assessing the predictors of influenza vaccination and reasons for accepting or refusing it among nursing staff. Methods: The present study was conducted from February to March 2019 on nurses of three teaching hospitals affiliated to Kerman University of Medical Sciences in the Southeast of Iran. Data were collected using a validated questionnaire, including demographic data, knowledge, and attitude toward influenza and its vaccine, and reasons for accepting or refusing the vaccine. Data were analyzed by SPSS version 22. Independent samples t- and the chi-squared tests and the binary logistic regression were employed for data analysis. Results: The influenza vaccination coverage rate was 10.1% among the nursing staff. Male gender (adjusted odds ratio (AOR) = 4.77, 95% confidence interval (CI) =2.13 - 10.64), receiving a recommendation for influenza vaccination in hospital (AOR = 1.86, 95% CI = 1.06 - 3.26), influenza vaccination of the family members (AOR = 2.61, 95% CI = 1.55 - 4.41), and a higher score of attitude toward influenza vaccination (AOR = 1.05, 95% CI = 1.03 - 1.07) increased the likelihood of influenza vaccination in the nursing staff. Fear of vaccine adverse effects (64.7%), lack of trust in vaccine manufacturers (36.0%), and being healthy (29.7%) were the most common reasons for refusing vaccination. Likewise, self-protection (79.6%), patient protection (73.0%), and family protection (72.4%) were the most common reasons for undergoing vaccination. The odds of influenza vaccine uptake was four times more among males than females (AOR = 4.77, 95% CI = 2.13 - 10.64), and odds of influenza vaccination was 1.86 times more among nursing staff receiving recommendations for influenza vaccination in hospital than the ones not receiving such recommendations (AOR = 1.86, 95% CI = 1.06 - 3.26). Also, odds of influenza vaccination increased 2.73 times in nursing staff whose family members received influenza vaccine (AOR = 2.61, 95% CI = 1.55 - 4.41). Furthermore, the model showed that one unit increase in the attitude score increased odds of influenza vaccination by 1.05 units (AOR = 1.05, 95% CI = 1.03 - 1.07). Conclusions: The influenza vaccination rate was suboptimal among the nursing staff. Also, there were poor knowledge and improper attitude toward influenza and its vaccine among healthcare workers. Therefore, appropriate policies should be made at national and regional levels on increasing the rate of influenza vaccination.
Measuring and Monitoring the Impact of Precision Land Levelling and Arable Cropping Systems on Aggregate Associated Carbon Fractions and Soil Carbon Stock in Sub-tropical Ecosystems

The Long term experiment (2009-10 to-2018-19) was conducted to study the effects of precision land levelled (PLL) versus traditional land levelled (TLL) systems on aggregate-associated soil organic carbon (SOC) in a farmers participatory fields under sub-tropical ecosystems (Western Uttar Pradesh) of Indian conditions. The significance of this study mainly focus to determine the suitability of various labile carbon fractions as indicators of soil quality and the stability of aggregates plays a vital role in preserving and long term storing of soil organic carbon by implementing Precision Land Original Research Article Naresh et al.; IRJPAC, 21(24): 197-220, 2020; Article no.IRJPAC. 64481 198 Levelling under various arable cropping system. The treatment comprised of sixteen alternative arable cropping systems strategies viz. R-WPLL, R-WTLL, S-WPLL, S-WTLL, R-P-MbPLL, R-P-MbTLL, RP-OPLL, R-P-OTLL, R-C-OPLL, R-C-OTLL, O-W-MbPLL, O-W-MbTLL, M-W-MbPLL, M-W-MbTLL, M-P-MbPLL, and M-P-MbTLL etc were taken with recommended dose of fertilizers and various observations were recorded. The results indicated that the M-P-MbPLL produced 79.5 kgha -1 day -1 productivity and used only 110 cm irrigation water which was 48.1 per cent less than irrigation water used for R-WPLL. The land use efficiency under R-P-MbPLL, R-P-OPLL, R-P-MbPLL, R-C-OPLL and M-P-MbPLL were recorded as 86.2, 85.1, 84.8, 84.6 and 83.9%. However, energy value in terms total input energy and energy productivity were 39.9 and 218.5 GJ ha -1 over existing R-W system (32.9 & 105.7 GJ ha -1 ). The quantity of water used in the R-C-O, M-W-Mb, M-P-Mb, and O-W-Mb were 46.1, 44.9, 40.1 and 36.3 per cent less than quantity of water used for R-W system. Aggregate-associated SOC contents in 015 cm depth were recorded highest SOC at 15-30 cm depth in PLL systems as 9.4% for both M-PMbPLL and M-W-MbPLL. Highest PON change in arable cropping system (30.9 & 40.1%) was found in O-W-Mb with precision land levelling (T11) plots followed by R-P-O with precision land levelling (T7) plots (26.1 & 35.8%) as compared to R-W and S-W system. The values of LFOC in surface soil were 194.7, 187.9, 176.2, 170.9, 168.5, 150.6, 132.8 and 123.8 mgkg −1 in R-P-O, R-C-O, M-W-Mb, O-W-Mb, M-P-Mb, R-P-Mb, R-W and S-W with precision land levelling treatments. Higher SOC sequestration was observed with precision land leveling along with alternative arable cropping systems with O-W-MbPLL, R-C-OPLL, R-P-OPLL, O-W-MbPLL and M-P-MbPLL respectively. Therefore, PLL systems had greater soil surface aggregation and carbon storage, land levelling did not affect SOC patterns across aggregates, but changed the distribution of aggregate size, reflecting that land levelling mainly influenced soil fertility by altering soil structure.
Potentials for tourism development based on protected natural resources in Moravica administrative district territory: Opinion of the city of Čačak residents

The purpose of this paper is to indicate the potentials for tourism development based on the protected natural resources of the Republic of Serbia situated in the Moravica administrative district territory, the degree of their current utilization for the purposes of tourism and local population information on the above mentioned. Closed-ended survey was conducted (five-point scale) on the random sample of the residents in the urban part of the city of Cacak as the administrative center of the Moravica administrative district. The results are: 1) low degree of information among the local population, 2) medium (good) potential for tourism development, and 3) very low level of its utilization for tourism purposes. The results are also considered according to the natural resources protection type. The contribution of this paper is in the indication of potentially successful elements in future tourism offer for the entities in the field of tourism and hospitality.
TÜRKİYE’DE KAMU VE ÖZEL KURUMLARIN BÜYÜK VERİ ALANINDA MEVCUT DURUM VE BEKLENTİLERİNİN DEĞERLENDİRİLMESİ ÜZERİNE NİTEL BİR ARAŞTIRMA

Bu çalışmanın amacı, Türkiye’de kamu ve özel kurumlarda büyük veri analitiğinin kullanımını inceleyerek, mevcut durumun ve beklentilerinin ne yönde olduğunun değerlendirilmesidir. Bu doğrultuda Türkiye’de en çok tercih edilen büyük veri araçlarını ve bilgi teknolojileri sektörünün öğrencilerden ve üniversitelerden beklentilerini belirlemektir. Araştırma Ankara ilinde büyük veri analitiği çözümleri sunan 10 kamu ve özel kurumun büyük veri ekip liderleriyle derinlemesine mülakat yapılarak gerçekleştirilmiştir. Verilerin analizi için nitel araştırma yöntemlerinden gömülü teori yaklaşımı ve tematik kodlama kullanılmıştır. Elde edilen bulgular, kurumların büyük veri analitiği mevcut durumu, üniversitelerin ilgili bölümlerinden ve öğrencilerden beklentileri ve öğrencilere ve üniversitelere önerileri olmak üzere üç ana başlıkta belirtilmektedir. Kurumların büyük veri analitiği mevcut durumu kategorisinde, büyük veri ekibinde hangi pozisyonların tercih edildiği, bu ekiplerde çalışan sayısı, bu sayının yeterliliği ve kullandıkları teknolojilere yer verilmektedir. Beklentiler kategorisinde, büyük veri alanında hangi bölüm mezunlarının tercih edildiği, mezunlardan yetenek ve teknik beceri anlamında beklentilerin ne yönde olduğu yer almaktadır. Öneriler kısmında ise kurumların, bu alanda çalışmayı düşünen öğrencilere ve bu alanla alakalı olarak üniversitelere olan önerilerine yer verilmektedir.
The effect of the local cold application on low back pain and vascular complications of patients undergoing coronary angiography

Fariba Ebrahimi-Shalmani1, Farideh Hasavari1, Salman Nikfarjam2, Ehsan Kazemnejad Leili3, Nazila Javadi-Pashaki*4,5 1Cardiovascular Diseases Research Center, Rudsar Shahid Ansari Hospital, Guilan University of Medical Sciences, Rasht, Iran 2Department of Cardiology, Cardiovascular Diseases Research Center, Heshmat Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran 3Department of Biostatistics, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran 4Department of Nursing, Social Determinants of Health Research Center (SDHRC), Guilan University of Medical Sciences, Rasht, Iran 5Department of Nursing, Cardiovascular Diseases Research Center, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
Multivariable Unconstrained Pattern Search Method for Optimizing Digital PID Controllers Applied to Isolated Forward Converter

Most of the traditional PID tuning methods are heuristic in nature. The heuristic approach-based tuned PID controllers show only nominal performance. In addition, in the case of a digital redesign approach, mapping of the heuristically-designed continuous-time PID controllers into discrete-time PID controllers and in case of the direct digital design approach, mapping of the continuous-time plant (forward converter) into the discrete-time plant, results in frequency distortion (or warping). Besides this, nonlinear elements such as ADC and DAC, and delay in the digital control loop deteriorate the control performance. There is a need to tune conventionally-designed digital controllers to enhance performance. This paper proposes optimized discrete-time PID controllers for a forward DC–DC converter operating in continuous conduction mode (CCM). The considered conventional digital PID controllers designed on the basis of the digital redesign and direct digital approaches are tuned by one of the multivariable unconstrained pattern search methods named Hooke–Jeeves (H–J) search method to ensure excellent output voltage regulation performance against the changes in input voltage and load current. Numerical results show that the H–J-based optimized PID compensated forward converter system shows tremendous improvement in performance compared to its unoptimized counterpart and simulated annealing (SA)-based compensated system, thus justifying the applicability of the H–J method for enhancing the performance.
Research on the Domestic Service of the Urban Middle-old Empty-nest Elderly in China

Under the mainstream model of ‘home-based care for the aged’ in China, the urban empty-nest elderly family is a very important family type. In order to improve the domestic service system of the empty-nest elderly and promote the diversified development of the aging service industry, this study focuses on the important group of middle-aged empty-nest elderly to explore the types of tangible or intangible service experiences and physiological or psychological demand characteristics and combined with a questionnaire to analyze their relationship. The differences and influencing factors of different demand characteristics under the two types of ‘self-based service’ and ‘other-based service’ are derived. Finally, it is concluded that middle-aged empty-nest elderly have a higher demand for ‘other-based service’, but they lack sufficient guarantees in terms of physiological safety, so it is necessary to strengthen the experience design of domestic health and safety. Keyword : Domestic service, Urban, Middle-old, Empty-nest elderly, China
Preisingerite, Bi 3 O(OH)(AsO 4 ) 2 , a new species from San Juan Province, Argentina; its description and crystal structure

Preisingerite, ideally BirO(OHXAsOa)2, tricl inic, Pl, a:9.993(3), b:7.404(3), c: 6 . 937 (3 )A ,a :87 . 82 (2 ) ,F :115 . 01 (2 ) , y : l l l . M (2 ) " , 2 :2 ,washe re to fo reknownasan unnamed species, for which only qualitative chemical composition and unindexed X-ray powder patterns had been reported. The mineral described here occurs in the weathering zones of the Bi-As-Cu deposits of San Francisco de Los Andes and Cerro Negro de la Aguadita, Department of Calingasta, San Juan Province, Argentina, as poorly developed tiny translucent grayish white crystals which are tabular parallel to (010) with a rhomboidal shape. Electron microprobe analysis yields Bi 68Vo, As l5%,P 0.3Vo andPb < 0.5%. The calculated density is7.24 glcm3. The crystals are biaxial with a : 2.130, B : 2.16 and 7 : 2.195 (\ : 589 nm) derived from reflectivity measurements and from 2V, which is close to 90o as determined with a polarizing microscope. The structure analysis, which converged to R : 0.046 for 1440 observed reflections, reveals clusters of six Bi atoms which are connected by two oxygens and two OH groups. These Bi6O2(OH)2 groups are linked into a framework via the AsOa tetrahedra. The three different Bi atoms have one-sided coordinations, each with four oxygens at distances of 2.ll-2.464 (average 2.284\. These coordinations are supplemented by five additional oxygens at distances of 2.57-3.36A. Bonds within the AsOa tetrahedra measure 1.66-l.711^ (average 1.682A). A hydrogenbond between the OH oxygen and an arsenate oxygen is indicated bv O . O : 2.724.
EFFECTIVENESS OF FDI, TECHNOLOGICAL GAP AND SECTORAL LEVEL PRODUCTIVITY IN THE VISEGRAD GROUP

The objective of this paper is to investigate the impact of foreign direct investment (FDI) on economic growth and productivity in sectors of the Visegrad Group one decade after their accession to the EU. In order to account for sample heterogeneity, as well as productivity differences, we construct a generalized true random-effects model with varying efficiency distribution. We find that FDI has a positive impact on the Visegrad Group’s sectors and that its effectiveness depends upon the technological gap between the host and home economy. There are three sources of this positive impact: (i) sectoral output and labour productivity growth, (ii) more effective use of input factors, and via (iii) higher efficiency component of the total factor productivity (TFP). These sources form a three-way transmission mechanism through which FDI can impact economic growth conditioned upon FDI effectiveness due to the technological gap.
Ethical Issues of Neural Machine Translation

The paper is focused on the issues of machine translation ethics. The goal of the present study is to discuss the role of neural machine translation tools from an ethical point of view and their impact on humans. Although traditionally ethics of translation is viewed in terms of sameness and difference, it is human translator who is a party to ethics of translation. It is discussed that translators should rely on technology as a helpful leverage in their job, since it allows them to be faster and more productive. On the other hand, we take an interest in examining the extent to which translation technology tools are given power. Neural machine translators can be unsupervised by humans, therefore viewed as a party to ethics of translation.
Detecting statistically significant geographical anomalous regions from spatial sampling points by coupling Gaussian function and multidirectional optimization

An anomalous geographical region refers to a collection of spatially aggregated objects whose non‐spatial attribute values are significantly inconsistent with those of their spatial neighbors. The detection of anomalous regions plays an important role in spatial data mining. However, the requirement of user‐specified parameters for spatial neighborhood construction and anomalous region discovery will inevitably result in the omission or misjudgment of spatial anomalies; it is still challenging to detect arbitrarily shaped anomalous regions in an objective way. Inspired by the data field theory, this study models spatial anomaly degree by considering the distance decay effect and develops an approach for the objective detection of significantly anomalous regions from spatial sampling points. First, constrained Delaunay triangulation is employed to construct reasonable and stable spatial neighborhoods by quantifying the spatial distribution characteristics of sampling points. On this basis, a Gaussian function is adopted for the measurement of spatial anomaly degree considering both distance decay effect and non‐spatial attribute value differences, based upon which anomalous objects can be captured. Finally, treating each anomalous object as a seed, a multidirectional optimization method is developed to identify arbitrarily shaped anomalous regions, and a Monte Carlo simulation is employed to further test the statistical significance of anomalous regions. Experiments on both simulated and real‐world datasets demonstrate that the proposed approach outperforms existing methods in terms of both accuracy and sufficiency for anomalous region detection.
Culturally Ostracized Emoji: A Semiotic Analysis of Emojis and Emoticons

The worldwide usage of Emoji is a source to assess the globalization of the Japanese popular culture in the struggle to promote cultural literacy and multiculturalism. This new visual writing system of Emoji reveals prejudice among its users across the global village. The cultural diversity have made it more complex and unreadable, hence it requires to be used with conventional modes of expression to evade misunderstandings. This rise of Emoji icons was acknowledged in 2015 by Oxford Dictionary by declaring Face with Tear of Joy Emoji as the word of the year. The present research aims to explore the visual practices employed to propagate different ideologies in the culturally banned Emoji icons and Emoticons. This research is carried out with a proposed semiotic reading of Emoji icons and Emoticons inspired by Marcel Danesi’s the Semiotic of Emoji: The Rise of Visual Language in the Age of Internet.
Effect of addition of multi-enzyme and varying levels of toasted African yam bean seed meal on carcass characteristics and internal organs of broiler starter

African yam bean seed is one of the underutilized legumes and a prospective feed ingredient in poultry diet. This study was carried out to examine carcass characteristics and internal organs of broiler starter fed partial replacement of toasted African yam bean seed meal supplemented with multi-enzyme (TAYBSM+E). There were five treatments: treatment one (T1) served as control without TAYBSM+E while T2, T3, T4 and T5 contained 20%, 40%, 60% and 80% TAYBSM+E, respectively and supplied experimental broiler birds for four weeks. Each treatment was randomly assigned to one of the five experimental diets in a completely randomized designed. Two hundred birds were allotted to five treatments replicated four times with 10 birds per replicate. At four weeks of age, experimental birds were starved for 12 hours; one bird was sacrificed per replicate (four per treatments), defeathered and cut into different parts. Carcass cuts and vital organs were carefully collected and weighed with sensitive scale. All parameters in the carcass cuts and internal organs weight examined were not statistically (P>0.05) influenced except intestine, lungs and thigh that significantly (P<0.05) different. It is concluded that toasted African yam bean seed meal supplemented with multi-enzyme is a good source of protein that can be used in broiler feeds safely up to 80% inclusion level to give satisfactory results.
Verification of names for certain Populus L. clones (Salicaceae) commonly grown in the United Kingdom

For eleven Populus clones, P. ‘Beaupre’, P. ‘Boelare’ P. ‘Columbia River’, P. ‘Fritzi Pauley’, P. ‘Gaver’, P. ‘Ghoy’, P. ‘Gibecq’, P. ‘Primo’, P. ‘Robusta’, P. ‘Scott Pauley’, P. ‘Trichobel’widely cultivated across Europe and grown in the UK, their taxonomy and clonal names were verified using morphological and molecular markers. Correct scientific names were applied to all clones. For nine of them, the correct clonal names were found. One new combination was made, and seven scientific names were typified.
Failure Threshold Determination of Rolling Element Bearings Using Vibration Fluctuation and Failure Modes

One of the challenges in predicting the remaining useful life (RUL) of rolling element bearings (REBs) is determining a proper failure threshold (FT). In the literature, the FT is usually assumed to be a constant value of an extracted feature from the vibration signals. In this study, a degradation indicator was extracted to describe damage to REBs by applying principal component analysis (PCA) to their run-to-failure data. The relationship between this degradation indicator and the vibration peak was represented through a joint probability distribution using statistical copula models. The FT was proposed as a probability distribution based on the fluctuation increase in the vibration trend. A set of run-to-failure tests was conducted. Applying the proposed method to this dataset led to various FTs for the different failure modes that occurred. It is shown that, for inner race degradation, a higher FT can be assumed than for rolling element degradation. This could help extend the lives of REBs regarding the degrading elements. A dataset for an industrial machine was also analyzed and it is shown that the proposed model estimated a reasonable and proper FT in an actual case study.