Miracle-dz/UniFAR-FTUs huggingface dataset:
Grocery Sales Forecasting

Forecasting grocery items can not only avoid excessive stockpiling but also meet customer demand. This can reduce the grocery store's losses and increase the grocery store's turnover. On the other hand, considering features that affect sales is also the core of feature engineering. This article makes a forecast about the sales of merchandise in a large chain store. In this paper, two cores of time series and LGBM are mainly used to complete the model establishment. A model that can predict the sales of goods is built. The data used for training is analyzed and processed. The accuracy of the model is measured using the mean squared error, which gives a final accuracy of 0.35069696616549817. At the end of the paper, it proposes an improved method for this model, and how to solve the same problem under other conditions (such as when the data is particularly small).
Relaxation and Fascination through Outside Views of Mexican Dwellings

Exposure to outside views creates opportunities to distract and experience feelings of relaxation. To explore the relationship between the environmental qualities of the views with such psychological states, 89 participants from seven Mexican states evaluated the views they contemplated during the confinement due to the COVID-19 pandemic. Items on fascination, cognitive well-being, and how relaxing and helpful the views were to withstand the confinement were answered. Participants took photographs of the views, which were evaluated according to 41 environmental dimensions, considering the built elements, vegetation, and visibility. Based on these dimensions, a classification of the views into categories was realized with multidimensional scaling. The five categories obtained were (a) immersive views of extensive landscapes with vegetation, (b) non-immersive views of landscapes with vegetation, (c) views of courtyards with vegetation, (d) views of commonplace scenes, and (e) views of mostly built elements. The categories generating the highest and lowest relaxation, fascination, and cognitive well-being were identified. The views of extensive landscapes with vegetation and the views of courtyards were the categories presenting the most favorable psychological effects. Furthermore, a partial correlation network found direct relations between the environmental and psychological dimensions. Fascination relates to the observation of distant elements, mountains, and trees. Meanwhile, relaxation correlates with the presence of plants and anticorrelates with car visibility, the quantity of the windows of the visible buildings, and the variety of built elements. Relaxation was the psychological state with the highest direct relation with the environmental dimensions. Meanwhile, the perceived immersion (the feeling of being outdoors), the quantity of plants, and the attractiveness of the built elements were the environmental aspects most directly related to the psychological dimensions. The multiplicity of environmental and architectural qualities considered allowed specific implications for architecture to be obtained. An integrated configuration of the natural and the built elements, and a limited quantity and variation of the built elements were qualities that generated positive outcomes in the observers of the views.
Enhance Food Safety by Technology Management:A Study on Requiring Processed Foods to Submit Their Corresponding GC and/or LC Mass Spectrometry Chromatograms When Registering for Sales Permit

There have been many food safety incidents in recent years in Taiwan. For example, the 2011 plasticizer incident, 2013 poisonous starch and faked cooking oil are deliberate food adulteration incidents which caused societal panics over food safety. The major cause of these incidents is that food manufacturers used cheaper or even illegal ingredients to cut costs and earn unjust profits. However, there is no effective control method to deal with this problem currently. To manage components in food and prevent food manufacturers from using illegal and/or toxic ingredients, this research proposes that processed food must submit their corresponding GC and/or LC MS chromatograms when registering for sales permits, and GC and/or LC MS chromatograms are used for comparison by the authorities to monitor components of food products sold on the market. Through comparison of chromatograms, the authorities can easily identify materials that were not in the original food. The proposed method is expected to provide an effective and efficient method for controlling unknown ingredients and lead to enhancement of food safety. Demands of GC and/or LC analyses will increase dramatically when implementing this measure with Taiwan's current food analysis capacity. Therefore, this research examines the situations of Taiwan's food analysis system through reviewing literature and industrial reports. Second, other counties' practices are studied and supporting methods of implementing this method were proposed. Furthermore, this research adopted analytic hierarchy process (AHP) as a decision-support tool to construct the analytical hierarchy structure which includes 4 sub-objectives and 11 criteria. Lastly, the expert questionnaires were designed and two rounds' expert questionnaire surveys were conducted. The participants of the two rounds’ surveys are experts of food processing or food analysis, and data were collected from academia, industry and government agencies By analyzing the expert questionnaires using AHP, this study has found that the necessary supporting measures should be established when implementing processed food to submit their GC and/or LC MS chromatograms: 1. Increase number of analytical laboratories and control increasing analytical laboratories by strengthening
Nonlinear Analysis of Reinforced Geopolymer Concrete Beams

To decarbonise the current construction sector and meet the global net-zero target, there is a pressing need to develop an environmentally friendly alternative to Portland cement concrete. Alkali activated and geopolymer concrete have much to offer in this regard. At present, however, there is limited study on the behaviours of alkali activated structural members, particularly on flexural members, which encompass most practical design situations. This paper presents a database of 37 tests on slender alkali activated and geopolymer concrete beams available in the literature, with the aim to investigate the flexural strengths of this alternative concrete when used as a structural member. In addition, the results of nonlinear finite element analyses on fourteen reinforced geopolymer concrete beams are presented to highlight key influencing factors governing the behaviour and failure of flexural members. Of particular interest is to study the influence of reinforcement ratio, compressive strength, and material brittleness on the overall strength and ductility. Overall, it is shown that the flexural response of geopolymer concrete beams under short-term loading is comparable to that of ordinary reinforced concrete beams.
Polymorphism in STAT4 Increase the Risk of Systemic Lupus Erythematosus: An Updated Meta-Analysis

Previous studies have reported that STAT4 rs7574865 conferred the susceptibility to systemic lupus erythematosus (SLE). In this study, a meta-analysis (including 32 comparative studies of 11384 patients and 17609 controls) was conducted to investigate the role of STAT4 polymorphism in SLE in a comprehensive way. We found that the Asian population had the highest prevalence of the T allele than any other study population at 32.2% and that STAT4 rs7574865 polymorphism was associated with SLE in the overall population (OR = 1.579, 95%CI = 1.497-1.665, P < 0.001). In the subgroup analysis by ethnicity, STAT4 rs7574865 T allele was shown to be risk factor in SLE in Asian, European, and American origins. Our results do support STAT4 rs7574865 polymorphism as a susceptibility factor for SLE in populations of different ethnic and that its prevalence is ethnicity dependent.
Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis

Abstract Aims Hypothesizing that aortic outflow velocity profiles contain more valuable information about aortic valve obstruction and left ventricular contractility than can be captured by the human eye, features of the complex geometry of Doppler tracings from patients with severe aortic stenosis (AS) were extracted by a convolutional neural network (CNN). Methods and results After pre-training a CNN (VGG-16) on a large data set (ImageNet data set; 14 million images belonging to 1000 classes), the convolutional part was employed to transform Doppler tracings to 1D arrays. Among 366 eligible patients [age: 79.8 ± 6.77 years; 146 (39.9%) women] with pre-procedural echocardiography and right heart catheterization prior to transcatheter aortic valve replacement (TAVR), good quality Doppler tracings from 101 patients were analysed. The convolutional part of the pre-trained VGG-16 model in conjunction with principal component analysis and k-means clustering distinguished two shapes of aortic outflow velocity profiles. Kaplan–Meier analysis revealed that mortality in patients from Cluster 2 (n = 40, 39.6%) was significantly increased [hazard ratio (HR) for 2-year mortality: 3; 95% confidence interval (CI): 1–8.9]. Apart from reduced cardiac output and mean aortic valve gradient, patients from Cluster 2 were also characterized by signs of pulmonary hypertension, impaired right ventricular function, and right atrial enlargement. After training an extreme gradient boosting algorithm on these 101 patients, validation on the remaining 265 patients confirmed that patients assigned to Cluster 2 show increased mortality (HR for 2-year mortality: 2.6; 95% CI: 1.4–5.1, P-value: 0.004). Conclusion Transfer learning enables sophisticated pattern recognition even in clinical data sets of limited size. Importantly, it is the left ventricular compensation capacity in the face of increased afterload, and not so much the actual obstruction of the aortic valve, that determines fate after TAVR.
A new method for classification of built-up areas with deep learning technique

The high-precision classification of built-up areas was extracted by the management departments with the development of social economy. Traditional classification methods cannot discriminate the types of built-up areas very well. The paper proposed a new method for classification of built-up areas with deep learning technique, namely VGG-DeepLab-UNet, which is based on the UNet network. The feature generation part of VGGNet was selected as the encoder of UNet and the upsampling part of DeepLab network was selected as the decoder of UNet. In this paper, Xinjiang was selected as the experimental area, and the new model was used to extract the classification information of built-up areas. The experimental results showed that VGG-Deep-UNet can be used to extract the classification information of built-up areas with high precision. Compared with the manual annotation results, it is pointed out that the classification information of built-up areas can be extracted with higher precision with deep learning technique, which can effectively reduce manual operation and improve the efficiency of extraction.
Application of a sinusoidal internal model to current control of three phase utility-interface-converters

Three phase voltage-source converters are used as a utility interface. In such a case, the converter line currents are required to track sinusoidal references synchronized with the utility grid without a steady-state error. A current control method based on a sinusoidal internal model is employed. The method uses a sine transfer function with a specified resonant frequency, which is called an S-regulator. The combination of a conventional PI regulator and an S-regulator is called a PIS regulator. The PIS regulator ensures that the steady-state error in response to any step changes in a reference signal at the resonant frequency and zero hertz reduces to zero. Experiment was carried out using a 1 kVA prototype of three utility-interface-converters, a voltage source rectifier, an active power filter, and STATCOM. Almost perfect current tracking performance can be observed.
Architecture and algorithms for the implementation of digital wireless receivers in FPGA and ASIC: ISDB-T and DVB-S2 cases

The first generation of Terrestrial Digital Television(DTV) has been in service for over a decade. In 2013, several countries have already completed the transition from Analog to Digital TV Broadcasting, most of which in Europe. In South America, after several studies and trials, Brazil adopted the Japanese standard with some innovations. It was the first country to commercially broadcast Digital Television in the region, in 2007. Nevertheless, in 2013 the country still had not completed the transition to Digital. Japan and Brazil started Digital Terrestrial Television Broadcasting (DTTB) services in December 2003 and December 2007 respectively, using Integrated Services Digital Broadcasting Terrestrial (ISDB-T), also known as ARIB STD-B31 [1]. ISDBT was clearly inspired on DVB-T [2], the first generation of European Terrestrial Digital Television Broadcast standard. Nevertheless, it overcomes one of the weaknesses of DVB-T, i.e. the bad performance under impulsive noise. DVB-T and ISDB-T make use of Orthogonal Frequency Division Multiplex (OFDM) as a Transmission Technique. Due to its unique characteristics, OFDM has been chosen by several wireless systems designers and standardization bodies. In order to provide an idea about the importance of the OFDM transmission technique, we can mention some examples of standards that employ it: IEEE802.15. 4.g, IEEE802.11a/g/n/ac, Wimax, DVB-T, IEEE 802.20 and the 3GPP Long Term Evolution (LTE) mobile broadband standard downlink. Before adopting ISDB-T, the Brazilian government made an enormous effort, putting together Universities, R&D Centers, the local Broadcast Industry and Broadcasters in order to establish a Brazilian digital television standard that would explore state-of-art techniques, e.g., Low Density Parity Check (LDPC) code and Space-Time Coding. Nevertheless, after all that effort, due to scale economy and its unique characteristics at that time, the Brazilian government adopted the ISDB-T Physical Layer, with some updates on Video and Audio Coding and Interactivity, as the basis for the Brazilian System of Terrestrial Digital Television (SBTVD). So, the ISDB-T with the aforementioned updates became known as ISDB-Tb. On the Digital Broadcasting Expert Group (DIBEG) website (www.dibeg.org), the reader can find the equivalence
Investigating the Effect of Six-Legged Element Placement Density on Local Scour at Wing-Wall Bridge Abutments

The focus of this study is to investigate the application of six-legged elements around wing-wall abutments experimentally. Six-legged elements have extensively been used for river engineering purposes for scour protection. The experiments were done in a 1m wide laboratory flume with uniform sand material. Four baseline tests were performed in different ratios of flow velocity to critical velocity values (0.65-0.95). The six-legged elements were then placed in three different placement densities on the bed; open (T1), medium (T2), and dense (T3). The amount of created coverage for T1, T2 and T3 densities were 54, 76 and 97 percents, with 63, 76, and 97 pieces respectively. Each alternative was tested under different flow conditions. Generally, the results proved that six-legged elements can considerably reduce the scour depth so as it reduced the maximum scour depth of abutment nose up to 100%. This maximum reduction of scour depth has been obtained when the elements were placed densely. However the extent and intensity of edge failure increased with higher density placements. Displacement of the maximum scour depth from the abutment tip was witnessed during the experiments especially in high Froude numbers. Hence each placement density could leave different effects on the bed topography in the vicinity of the abutment and on the downstream of the bridge; this gives alternatives to the designer for selecting six-legged elements placement densities with respect to the features of each placement density and conditions of the site.
Jointly Learning Sentimental Clues and Context Incongruity for Sarcasm Detection

Sarcasm is widely used in social communities and e-commerce platforms, failing to detect it in natural language processing tasks leads to false positives, e.g., opinion mining and sentiment classification. Recent works have indicated that the two linguistic characteristics, sentiment and incongruity information are beneficial to sarcasm detection. However, sarcasm datasets with sentiment labels are usually unavailable, and researchers consider little semantic information while modeling incongruity. In this paper, we propose a multi-task learning framework that incorporates sentiment clues by soft sentiment labels and integrates semantic information while modeling context incongruity. Experimental results on datasets show that the model we proposed yields better performance for the sarcasm detection task with the help of sentiment clues and incongruity information.
Effect of doping titanium ions on semi‐conducting behavior, photovoltaic, and thermoelectric perovskite‐type oxides VSc1−xTixO3: Ab‐inito study

Doping titanium's ions on perovskite‐type oxides as VTixSc1−xO3; changes the semi‐conducting behavior as well as magnetic, optical, and thermoelectric properties of VScO3 pervoskites. Doping titanium ions with different concentrations (x = 0.25, 0.5, 0.75, and 1) is investigated through the density functional theory (DFT) by the full potential linearized augmented plane wave (FP‐LAPW) technique using GGA‐mBJ potentials. All doped structures show semiconductor behavior in spin down channel, while the original structure VScO3 shows the same behavior in spin up channel. The values of energy band gap changes according the doped ions concentration Ti. The total spin magnetic moment increases as the concentration of Ti increases; the optical properties show a remarkable change during doping processes. The requirements for elastic‐stability of crystal lattices are applied. All studied structures are mechanically stable, high value of the temperature of melting (Tm), and Debye temperature for VSc1−xTixO3 compounds is higher than 400°K, besides the high values of Young's modulus and bulk modulus all are implying the hardness of the perovskite. Calculated energy band structure by WIEN2k is utilized to calculate the transport coefficients by using the semi‐classical Boltzmann transport theory depends on the constant relaxation time (τ) employed in the BoltzTraP package. Thermoelectric properties for all compounds are calculated and indicated that these compounds may be used in thermoelectric applications.
Vibration Exposure, Vibration-Induced White Finger and Digital Arterial Tone in Chain Saw Operators

In a group of 65 Italian forestry operators using chain saws, the overall prevalence of vibration-induced white finger (VWF) was found to be 29.2%. The occurrence of VWF was higher in the chain sawyers who had operated non-antivibration (non-A/V) as well as A/V saws (46.4%) than in those with experience limited to A/V saws (16.2%). The latency time before VWF averaged 9.4 yr (SD 6.8). The mean value of the four-hour energy-equivalent frequency-weighted acceleration [(ah,w)eq(4)] was 7.2 m/s2 (SD 1.2). On the basis of the known VWF prevalence and of [(ah,w)eq(4)], a latent period before VWF of 7.1 yr was expected according to ISO 5349. The measurement of finger systolic pressure (FSP) at 15°C and 10°C by plethysmographic technique showed that the chain sawyers affected with VWF experienced a more intense digital vasospasm than a group of comparable controls and the chain sawyers without VWF. The sensitivity of the method to detect vibration-induced digital arterial hyper-responsiveness to cold was 84.2% and the specificity was 100%. The findings of this study showed a good agreement between the expected and observed latency times before VWF, even though the ISO dose-effect relationship seems to overestimate slightly the risk. The results of the cold test indicated that the measurement of FSP during local cooling is an accurate laboratory method to diagnose objectively Raynaud's phenomenon of occupational origin.
Computer Network and Infrastructure Qualification and Validation of Associated IT Applications: A Case Study

Validation of computerised systems generally focuses on the providing documented evidence that a specific software application is fit for its intended p u rpose. The Food and Drug A dministration (FDA) Guidances for Industry such as Computerised Systems Used in Clinical Tr i a ls or the G e n e ral Principles of Software Va li d a t i on make no direct mention of computer networks or network infrastructure. Similarly, industry guidelines, such as Validation of C o m p u t e r-Related Systems and the Good Automated Manufacturing P ra c t i c e (GAMP) guidelines c o ncentrate on an application or a process system. However, the emphasis is changing and network infrastructure and the Information Te c h n o logy (IT) departments that operate them on behalf of the users are now under regulatory scrutiny and this can open a black hole in many org a n i z a t i o n s . During the summer of 2000, two Pharmacia sites (Mälardalen and Strängnäs) in Sweden were inspected over the course of four weeks and some IT-related 483 observations were given. The company and the FDA discussed the issues over five letters, and in January 2001, the FDA issued two warning letters to the company. Therefore it appears that a closer focus is coming into the IT Department and the nature of the security via the desktop with respect to access to data outside of the application. The two main issues to consider here is the impact of 21 Code of Federal Regulations (CFR) Part 11, the Electronic Records; Electronic Signatures final rule, and the approaches that the FDA is taking to enforce the regulation. Throughout the whole of the 21 CFR Part 11 regulation only systems are mentioned and never applications. Therefore this regulation means that the IT department, the networks they operate, and the ways that they work must be compliant with this regulation and the applicable predicate rule(s).