Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Load Constant of Worker in Industry By Using A Fuzzy Logic Approach

Low back disorders (LBDs) continue to be the most common musculoskeletal problem in the workplace. It affects many workers, is associated with high costs to industry and the individual, and can negatively influence the quality of life for the workers. In this paper researchers work on load constant , which play an important rule for elimination health related problem in industry , for this researcher use the fuzzy logic approach .
Probabilistic assessment of local scour in bridge piers under changing environmental conditions

Abstract Scour is one of the most widespread causes of bridge failure worldwide. The magnitude of the river flow at the bridge location is a key factor which directly affects the scour hole depth. Climate change may cause changes in the flow characteristics in a river due to changes in the precipitation patterns and catchment characteristics. In this paper, statistical analysis of the expected maximum annual flow of rivers is combined with the Monte Carlo simulation to estimate the probability of local scour failure. Climate change is assumed to manifest itself through gradual changes in the statistical characteristics of the expected maximum annual flow distributions. Results are presented from a case study using a bridge in the UK, which revealed that a time-dependent increase in the mean of the expected maximum annual flow has a more pronounced effect on scour performance as compared to an increase of its variability alone. Amongst the cases examined, however, the most adverse effect on local scour performance is observed from the simultaneous increase in both mean and variability of the expected maximum annual flow. The results also highlighted the significance of the foundation depth and local scour model parameter in relation to the changing flow characteristics.
Title: HER2-Overexpressing Ductal Carcinoma In Situ Associated with Increased Risk of Ipsilateral Invasive Recurrence and Receptor Discordance with Subsequent Lesion

Title: HER2-Overexpressing Ductal Carcinoma In Situ Associated with Increased Risk of Ipsilateral Invasive Recurrence and Receptor Discordance with Subsequent Lesion Authors: Thomas J O’Keefe, Sarah L Blair, Ava Hosseini, Olivier Harismendy, Anne M Wallace Division of Breast Surgery And The Comprehensive Breast Health Center, University of California San Diego Mailbox 0819, 3855 Health Sciences Dr, La Jolla, CA 92037 Moores Cancer Center and Division of Biomedical Informatic, Department of Medicine, University of California San Diego 3855 Health Sciences Dr, La Jolla, CA 92037
Supplementary Materials for Statistically Consistent Saliency Estimation

U 2 ↵ = 0, where D+ is the pseudo-inverse of D and U2 is related to the left singular vectors of D. More precisely, letting D = U⇥V T denote the singular value decomposition of D, U2 is the submatrix that corresponds to the columns of U for which ⇥j is zero. The linearity constraint ensures that the differences between the adjoint pixels is proper. Derivation of the alternative formulation follows from Theorem 1 in [3] and is omitted. This formulation can be expressed in the standard augmented form, i.e. minAx=b,x 0 cTx, by writing x = [↵+,↵ , s+, s ] T ,
The Role of the SOX9/lncRNA ANXA2P2/miR-361-3p/SOX9 Regulatory Loop in Cervical Cancer Cell Growth and Resistance to Cisplatin

Cervical cancer is a highly prevalent female malignancy. Presently, cisplatin (DDP) is a first-line agent for cervical cancer chemotherapy. However, its curative effect is limited because of chemo-resistance. It has been previously reported that SOX9 targeted and activated oncogenic genes, enhancing cervical cancer cell resistance to DDP. The effects of the SOX9/lncRNA ANXA2P2/miR-361-3p/SOX9 regulatory loop on cervical cancer cell growth and resistance to DDP have been demonstrated. miR-361-3p expression was decreased in DDP-resistant cervical cancer cells and tissues. Moreover, miR-361-3p overexpression inhibited the growth of resistant cervical cancer cells and the resistance to DDP, whereas miR-361-3p inhibition exerted opposite effects. miR-361-3p inhibited SOX9 expression through binding; the effects of miR-361-3p inhibition were partially reversed by SOX9 knockdown. LncRNA ANXA2P2 expression was elevated in DDP-resistant cervical cancer cells and tissues. LncRNA ANXA2P2 inhibited miR-361-3p expression by binding, thereby upregulating SOX9. LncRNA ANXA2P2 knockdown inhibited DDP-resistant cervical cancer cell growth and resistance to DDP, whereas the effects of lncRNA ANXA2P2 knockdown were partially reversed by miR-361-3p inhibition. SOX9 expression was elevated in DDP-resistant cervical cancer cells and tissues, and SOX9 activated lncRNA ANXA2P2 transcription by binding. Collectively, SOX9, lncRNA ANXA2P2, and miR-361-3p form a regulatory loop, modulating DDP-resistant cervical cancer cell growth and response to DDP treatment.
The Influence of Technical and Contextual Variables of the Last Stroke on Point Outcome in Men’s and Women’s Singles Badminton

The purpose of this study was to identify the effects of the technical and context-related variables of last strokes in rallies on the point outcomes of both men’s and women’s players in elite singles badminton matches. A total of 100 matches during the 2018 and 2019 seasons were analyzed, and the data of 4,080 men’s rallies and 4,339 women’s rallies were collected. The technical variables including strokes per rally, forehand strokes, overhead strokes, and defensive action, and the context-related variables including game status, result against serve, importance of rally, and importance of set, were modeled with Probit regression modeling as the predictor variables. The binary variables of “winner or not” and “error or not” were considered the response variables. The results showed that defensive actions had the greatest impacts on the winners and errors of both the men’s and women’s singles players, and the forehand and overhead strokes were negatively associated with the winners and errors of the women’s singles players and the winners of the men’s singles players. No significant effects were found for the strokes per rally on the winners and errors of the men’s singles players, while significant effects were found for the women’s singles players. The context-related variables appeared to have positive effects on the winners and negative effects on the errors of both sexes. These findings can provide important insights for coaches and players to evaluate their performances of last strokes in rallies and to improve training interventions and match tactics and strategies.
Aplicación de las LMI al diseño de controladores robustos

The design of precise controllers in presence of significant uncertainly requires the use of robust controllers. A variety of specifications and design constraints for control systems can be expressed in terms of Linear Matrix Inequalities (LMI), which are solved using Convex Optimization algorithms. This article presents the design of robust controllers using LMI for typical systems whose models are obtained from the control literature to which are complemented with parameter uncertainty. The designed controllers use system state feedback.
Influences on risk taking behaviour of property developers in Perth, Western Australia

Risk is inherently part of the process of property development so property developers are driven to engage in risk taking behaviour. This paper investigates project developers’ perception of influences on their risk taking behaviour of small-scale residential developments in Perth (Western Australia) based on structured interviews with twenty property developers. It was found that property developers perceive risktaking behaviour is influenced by the risk level in projects in terms of the degree of variability of outcomes and/or magnitude of potential losses. Property developers expressed a strong risk averse attitude, which means risk-taking behaviour is influenced by the desire to not engage in projects where risks greatly exceed to rewards; in fact, many seek out developments where the rewards disproportionately exceed the risks because risk and reward are seem as not necessarily being related. These potential rewards and risks tend to be framed opportunistically, which suggest that rewards are likely to be more emphasised than risks. Property developers seem to be particularly prone to availability bias, which means their risk-taking behaviour may result in irrational decisions based on irrelevant information. All these influences on risk-taking behaviour – level of risk, risk averse attitude and opportunistic framing – are tempered by a personality trait that promotes proper planning and problemsolving when involved in risk-taking behaviour. Finally, it must be emphasised that this research is based on project developers’ perceptions of their own behaviour and provides a foundation for further observational or experimental research to compare these perceptions with actual risk taking behaviour.
Ensemble‐based adaptive soft sensor for fault‐tolerant biomass monitoring

The accuracy and precision of soft sensors depend strongly on the reliability of underlying model inputs. These inputs (particularly readings of hardware sensors) are frequently subject to faults. This study aims to develop an adaptive soft sensor capable of reliable and robust biomass concentration predictions in the presence of faulty model inputs for a Pichia pastoris bioprocess. Hence, three soft sensor submodels were developed based on three independent model inputs (base addition, CO2 production, and mid‐infrared spectrum). An ensemble‐based algorithm combined the submodels to form an ensemble model, that is, an adaptive soft sensor, to achieve fault‐tolerant prediction. The algorithm's basic steps are as follows: the initial determination of submodel reliability is followed by selecting appropriate submodels to generate a reliable prediction via variance‐based weighting of the submodels. The adaptive soft sensor demonstrated high robustness and accuracy in biomass prediction in the presence of multiple simulated sensor faults (RMSE = 0.43 g L−1) and multiple real sensor faults (RMSE = 0.70 g L−1).
'Unified trait approach' in combining individual test day and lactation records of Ayrshire cows from Nordic countries.

INTRODUCTION Four Nordic countries (Denmark, Finland, Norway and Sweden) have agreed on joint testing and use of AI-bulls. To enable accurate comparison and selection of bulls and cows across countries a joint genetic evaluation based on Nordic data is needed. In order to gain general acceptance the joint Nordic evaluation model has to be at least as good as the current national models and exploit optimally the genetic links between the countries. At the present, genetic evaluation of production traits in Finland is based on test day (TD) observations whereas in Sweden and Norway 305d lactation records are used. In Denmark genetic evaluation will soon move from using only 305d records to include both TD and 305d records. Consequently, the joint Nordic animal model for production traits should be able to deal with both types of records. The objectives of this study were to apply an evaluation model fitting both TD and lactation records using Nordic data and to compare results to those from individual withincountry evaluations.
The Relationship Between Perceived Assertiveness/Shyness and Emergent Bilinguals’ Vocabulary Intervention Outcomes: A Preliminary Investigation

This preliminary study examined the relationship between clinicians’ perceptions (i.e., speech pathologists) of children’s scores on the Assertiveness scale of the Teacher-Child Rating Scale 2.1 and gains in naming and defining words following English-only or Spanish–English intervention for emergent bilinguals (EBs). Twenty-eight Spanish-speaking preschoolers were randomly assigned to participate in one of two vocabulary intervention groups: English-only (n = 14) and Spanish-English with Spanish provided through a tablet computer (n = 14). EBs were assessed in naming and definition before and after interventions. The clinicians provided perceptions of levels of assertiveness and shyness of both groups of EBs using the Assertiveness scale. A correlation analysis indicated a strong relationship between the Assertiveness scale and English word naming and definition gains in both groups (English-only and Spanish–English) and Spanish gains in the Spanish–English group. Clinicians’ perceptions of shyness should be considered as a variable of interest that affects response to intervention.
Mathematical modeling of therapeutic neural stem cell migration in mouse brain with and without brain tumors

Neural stem cells (NSCs) offer a potential solution to treating brain tumors. This is because NSCs can circumvent the blood-brain barrier and migrate to areas of damage in the central nervous system, including tumors, stroke, and wound injuries. However, for successful clinical application of NSC treatment, a sufficient number of viable cells must reach the diseased or damaged area(s) in the brain, and evidence suggests that it may be affected by the paths the NSCs take through the brain, as well as the locations of tumors. To study the NSC migration in brain, we develop a mathematical model of therapeutic NSC migration towards brain tumor, that provides a low cost platform to investigate NSC treatment efficacy. Our model is an extension of the model developed in Rockne et al. (PLoS ONE 13, e0199967, 2018) that considers NSC migration in non-tumor bearing naive mouse brain. Here we modify the model in Rockne et al. in three ways: (i) we consider three-dimensional mouse brain geometry, (ii) we add chemotaxis to model the tumor-tropic nature of NSCs into tumor sites, and (iii) we model stochasticity of migration speed and chemosensitivity. The proposed model is used to study migration patterns of NSCs to sites of tumors for different injection strategies, in particular, intranasal and intracerebral delivery. We observe that intracerebral injection results in more NSCs arriving at the tumor site(s), but the relative fraction of NSCs depends on the location of injection relative to the target site(s). On the other hand, intranasal injection results in fewer NSCs at the tumor site, but yields a more even distribution of NSCs within and around the target tumor site(s).
Assessment of Nutritional Status of Chronic Renal Failure Patients on Hemodialysis in Damanhour National Medical Institute in El-Beheira Governorate, Egypt

Background: Nutritional problems are of the most important risk factors of increasing mortality rates in chronic renal failure patients on hemodialysis and morbidity occurring from malnutrition significantly severely affects their quality of life. Aim: To assess the nutritional status of chronic renal failure patients on hemodialysis (HD) attending HD unit in Damanhur National Medical Institute. Methods: A cross-sectional study was carried out in the hemodialysis unit on 174 patients. Data collection was done via a specially designed questionnaire containing; socio-demographic and clinical data, anthropometric measurements, biochemical measurements, 24-hour recall list and questions for assessment of nutritional knowledge. Malnutrition inflammation score (MIS) was used for assessment of the nutritional status. Results: 65.5% of the patients were mildly malnourished, 24.7% were moderately malnourished and only 9.8% were normal and the level of malnutrition was significantly affected by duration of renal disease and hemodialysis duration. 44.3 % of patients had poor nutritional knowledge level, and only 4% had good nutritional knowledge and the nutritional knowledge level had a significant association with level of malnutrition. 96% did not attend any nutritional health education sessions, but they were willing to attend these sessions. Conclusions: Malnutrition was highly prevalent among the studied patients. There was a statistically significant relationship between levels of malnutrition (MN) and the level of nutritional knowledge of hemodialysis patients.
Planning Horizon in International Travel Decision-Making: The Role of Individual and Cultural Determinants

A solid understanding of when travel decisions are made in relation to travelers’ planning horizons is crucial for travel service providers. Despite its importance, there are very few empirical studies investigating the planning horizon and its antecedents in travel research literature. This study contributes to bridging this gap by conceptualizing a two-level model of antecedents of travelers’ planning horizons. In addition to individual traveler- and trip-related aspects, the model provides a cross-cultural perspective on international travelers’ planning horizons by including uncertainty avoidance, individualism, and long-term orientation as cultural-level antecedents. Drawing on a nested dataset of 4,074 international travelers from 17 countries worldwide, the results of a two-level hierarchical regression model show that, in addition to individual-level aspects, cultural antecedents play an important role in determining planning horizons. Based on the empirical results, the paper discusses implications for theory and travel service providers.
Ultralow-Dose Pediatric Total-Body PET/CT Imaging Using an Artificial Intelligence Technique

Purpose Young children are more sensitive to radiation than adults, and their absorption of effective dose can be four times higher than that of adults, inducing a higher risk of secondary injury. Here, we propose for the first time the use of artificial intelligence techniques combined with low dose CT prior information to improve image quality in ultralow-dose total-body PET/CT scans.MethodsA total of 44 pediatric patients (weight range: 8·5–50·1 kg; ages 1–12 years) who underwent total-body PET/CT at the Sun Yat-sen University Cancer Center were retrospectively enrolled. 18F-FDG was administered at a dose of 3·7 MBq/kg and an acquisition of 600 s. The low-dose PET images were simulated by truncating the list-mode data to reduce the count density. The neural network uses the residual network as the basic structure and fuses low-dose CT images as the priori information into the network at different scales. The image quality was assessed by subjective and objective analyses. Bland-Altman plots were used to assess the agreement of regional SUV ratios between the image types. Statistical analysis was carried out to assess the differences in the image quality metrics and reader agreement.ResultsThe use of artificial intelligence techniques can significantly improve PET image quality. When combined with a prior CT information, the anatomical information of the images was better recovered, and the 15 seconds acquisition yields a quality equivalent to the 10 minutes acquisition, it can equivalently guide the concentration of the injected tracer to decrease, which is very important for dose-sensitive pediatric patients.ConclusionsThe proposed artificial intelligence technology is safe and can effectively enhance the quality of pediatric total-body PET/CT ultralow-dose images and has the potential to further reduce the concentration of injected tracers for clinical applications.
The quandary over Antiviral Therapy for a COVID-19 Patient with Glucose-6-Phosphate Dehydrogenase Deficiency, Hypertension, and Resolved Hepatitis B Infection: A Case Report

The quandary over Antiviral Therapy for a COVID-19 Patient with Glucose-6Phosphate Dehydrogenase Deficiency, Hypertension, and Resolved Hepatitis B Infection: A Case Report Prakash Gyandev Gondode , Ankita Garg , Satyajeet Sahoo , Ankit Sharma Department of Anesthesiology, All India Institute of Medical Sciences, Nagpur, India; Department of Anaesthesiology, Dr Babasaheb Ambedkar Hospital, Rohini, Delhi, India; Department of Pulmonology, All India Institute of Medical Sciences, Nagpur, India; Department of Onco-Anesthesia, IRCH, All India Institute of Medical Sciences, Delhi, India
Simultaneously tracing the fate of seven metals at a global level with MaTrace‐multi

Keeping materials in use for a long time is key to reducing primary material demand and environmental impacts of resource use. Recycling yields of metals should only be limited by thermodynamically unavoidable losses of the remelting processes for well‐defined scraps. In practice, however, additional dissipative losses for metals occur due to incomplete collection of end‐of‐life products, insufficient waste sorting, remelting of contaminated or diluted scrap, and the downcycling of secondary materials. Here we simultaneously trace the fate of Al, Cr, Fe, Ni, Cu, Zn, and Pb in MaTrace‐multi, a planetary dynamic material flow system. Metals pass the processes mining, fabrication, use‐phase, collection, sorting, scrap allocation, remelting, and secondary material allocation. We calculate the circularity and longevity of the cohort of metal requirements for the final demand of 1 year. Nickel is found to have the best longevity at 116 (78 to 205) years, whereas zinc only has a longevity of 47 (37 to 61) years. While nickel, on average, is used in 5.13 (3.45 to 8.78) applications before dissipation, zinc is used only in 1.94 (1.52 to 2.47) applications. Our study results can be used to model the impacts of circular economy policies and technological developments on global metal cycles beyond the scope of studies modeling one metal at a time. This article met the requirements for a Gold–Gold JIE data openness badge described at http://jie.click/badges
Detection of stator incipient faults and identification of faulty phase in three-phase induction motor – simulation and experimental verification

Motor current signature analysis is a well-known method for the diagnosis of stator incipient faults on a three-phase induction motor (IM). In classical motor current signature analysis the fault feature is extracted by analysing the frequency spectrum obtained from the Fourier analysis. However, for proper fault diagnosis, time–frequency domain analysis is required. This study proposes an algorithm based on wavelet analysis for detection of stator incipient faults and identification of faulty phase in three-phase IM. A turn level distributed parameter model of a 3-hp IM is considered for the simulation of inter-turn faults. The parameters used in the simulated model are calculated by conducting experiments on a 3-hp IM. This model is validated by comparing the frequency response of the simulated model with the frequency response measured on practical machine. The proposed algorithm uses an adaptive threshold-based logic for detecting the inter-turn faults and identifying the faulty phase. The algorithm is validated with data generated by the specially designed 3-hp IM. The experimental and simulation results show that the proposed algorithm is effective in detecting the inter-turn faults and identifying the faulty phase even in the presence of supply unbalance conditions.
Saringosterol Acetate Isolated from Sargassum fusiformis Induces Mitochondrial‐Mediated Apoptosis in MCF‐7 Breast Cancer Cells

Sargassum fusiformis is among the most important edible brown seaweeds in Eastern Asia that contains various bioactive compounds and strong activities. Saringosterol acetate (SA) was successfully isolated from S. fusiformis in our previous research. In this study, SA was investigated for its anticancer effect on MCF‐7 breast cancer cells. SA attenuated the survival rate of MCF‐7 cells with an IC50 value of 63.16±3.6 μg/mL. Staining with Hoechst 33342 demonstrated that SA treatment mediated apoptotic body generation. SA significantly downregulated Bcl‐xL and upregulated Bax, and cleaved PARP, and cleaved caspase 3 in a dose‐dependent manner. Thus, these results suggest that SA induced mitochondria‐mediated apoptosis in MCF‐7 cells, making it a plausible candidate for drug development against breast cancer.