Miracle-dz/UniFAR-FTUs huggingface dataset:
Bridging Recommendation and Marketing via Recurrent Intensity Modeling

This paper studies some unexplored connections between personalized recommendation and marketing systems. Obviously, the two systems are different, in two main ways. Firstly, personalized item-recommendation (ItemRec) is user-centric, whereas marketing recommends the best user-state segments (UserRec) on behalf of its item providers. (We treat different temporal states of the same user as separate marketing opportunities.) To overcome this difference, we realize a novel connection to Marked-Temporal Point Processes (MTPPs), where we view both problems as different projections from a uniﬁed temporal intensity model for all user-item pairs. In this way, we derive Recurrent Intensity Models (RIMs) as unifying extensions from recurrent ItemRec models, though the connection can be more general. The second difference is in the temporal domains where they operate. While recommendation happens in real-time as each user appears, marketers often aim to reach a certain percentage of audience in the distribution of all user-states in a period of time. We formulate both considerations into a constrained optimization problem we call online match (OnlnMtch) and derive a Dual algorithm based on dual decomposition. Dual allows us to make ItemRec decisions in real time, while satisfying long-term marketing constraints in expectation. Finally, our connections between recommendation and marketing lead to novel applications. We run experiments where we use marketing as an alternative to cold-start item exploration, by setting a positive minimal-exposure constraint for every item over the user-state distribution in a future period of time. Our experiments are scalable to inﬁnite streams of user-states and open-sourced. 1
Learning by Directional Gradient Descent

How should state be constructed from a sequence of observations, so as to best achieve some objective? Most deep learning methods update the parameters of the state representation by gradient descent. However, no prior method for computing the gradient is fully satisfactory, for example consuming too much memory, introducing too much variance, or adding too much bias. In this work, we propose a new learning algorithm that addresses these limitations. The basic idea is to update the parameters of the representation by using the directional derivative along a candidate direction, a quantity that may be computed online with the same computational cost as the representation itself. We consider several different choices of candidate direction, including random selection and approximations to the true gradient, and investigate their performance on several synthetic tasks.
Goldenberry (Physalis peruviana) alleviates hepatic oxidative stress and metabolic syndrome in obese rats

The objective of this study was to investigate the effect of goldenberry (GB) ( Physalis peruviana ) extract supplementation on fat accumulation, hepatic oxidative damage, hepatic fat deposition, inflammation, and hepatic scarring, as well as metabolic syndrome in obese rats. Obesity was induced by feeding rats a high-fat diet for 12 weeks. Female Wister rats were divided into four groups (eight each): control group, obese group, obese + a low-dose GB (200 mg/kg), and obese + a high-dose GB (400 mg/kg). Body mass index (BMI), adipose tissue hormones, lipid profile, liver enzymes, hepatic oxidative stress parameters, and hepatic histopathological changes were assessed. Treating obese rats with GB supplementation reduced their increased body weight, BMI, leptin level, cholesterol, triglycerides, glucose, and insulin resistance index (homeostatic model assessment for insulin resistance). Moreover, the GB regime significantly improved the antioxidant parameters in the liver. In addition, it has shown a significant antiobesity impact by lessening body weight, oxidative damage, BMI, lipids, and insulin insensitivity. Eventually, administration of GB extracts reduced markers of inflammation [tumor necrosis factor-alpha, interleukin (IL)-2, IL-6, and C-reactive protein], fat deposition, steatosis, and fibrosis in the liver of the obese rats. Moreover, GB intake can be used in coupling with a healthy diet to assist obese rats suffering from metabolic syndrome.
Weighing Dynamic Availability and Consumption for Twitch Recommendations

Twitch is a community driven live streaming video service which uses recommendations trained on implicit feedback data. While this data is available in large quantities, it is subject to various biases and shortcomings. In particular, Twitch watch history data is heavily affected by the unpredictable and irregular behavior of users and streams going online and offline. Two resulting issues are: accounting for negative examples caused by users and channels not being available simultaneously, and understanding the relative scale of importance of positive watch time feedback. In this paper, we propose two methods of loss weighting: one method to address the availability of channels, and another method to adjust for the preferences implied by differing amounts of minutes watched. We discuss the methods, offline experimentation, and the results of adjusting evaluation metrics to fit the new loss weighting methods. Finally, we demonstrate success in a sitewide A/B test that increased recommended minutes watched by 7.9%.
Ultrasound-guided screw fixation for patellar stress fracture in a female basketball player: A case report

Introduction: Stress fracture of the patella is an overuse disorder that occurs in the lower extremity. Surgery may be considered if conservative treatment does not work or if a quicker and more reliable return to sports is expected. Surgery is usually performed under fluoroscopic guidance based on the premise that the proper placement of the internal fixation material can be determined on radiographic images. Patient concerns: A 16-year-old female basketball player gradually became aware of pain in the anterior aspect of her right knee during basketball, without any particular history of trauma. A computed tomography scan revealed a small bone fragment on the lateral side of the distal end of the patella. Diagnosis: Stress fracture of the patella. Interventions: Since it was difficult to determine the exact location of the bone fragment on radiographs, the surgery was performed under ultrasound guidance rather than fluoroscopy. While checking the bone fragment with ultrasound images, insertion of the guide pin, drilling, and screw fixation were performed under ultrasound guidance. Outcomes: Postoperative computed tomography showed accurate screw insertion into the bone fragment. Two months after surgery, bony fusion was confirmed, and the patient returned to her preinjury level of basketball. Conclusion: Ultrasound-guided screw fixation was useful in this case in which internal fixation of fractures is difficult under fluoroscopic guidance.
Effect of platelet-rich plasma on meniscus repair surgery: A meta-analysis of randomized controlled trials

Background: Studies have shown that platelet-rich plasma (PRP) can enhance the effect of meniscus repair, but some studies have suggested different views on the role of PRP. Therefore, a meta-analysis was conducted to determine whether PRP can enhance the effect of meniscus repair with respect to pain reduction and improved functionality and cure rate in patients with meniscus injury. Methods: PubMed, EMBASE, Cochrane Library Databases, clinicaltrials.gov, and the CNKI Database were searched from their inception till December 1, 2020. The RCTs reporting the outcomes of the Pain Visual Analog Scale (VAS), Lysholm score, healing rate, and adverse events were included. The risk of bias was assessed using Cochrane collaborative tools. The simulated results were expressed with effect size and 95% confidence interval, and sensitivity and subgroup analysis were performed. Results: The meta-analysis included 8 RCTs and 431 participants. Compared with the control group, use of PRP during meniscus surgery significantly improved the VAS (SMD: –0.40, P = .002, 95%CI: –0.66 to –0.15) and Lysholm score (MD: 3.06, P < .0001, 95%CI: 1.70–4.42) of meniscus injury, but the PRP showed no benefit in improving the healing rate of meniscus repair (RR: 1.22, P = .06, 95%CI: 0.99–1.51). No serious adverse events were reported in any study. Conclusions: PRP is safe and effective in improving the effect of meniscus repair as augment. High quality RCTs with long follow-up and definitive results are needed in the future to confirm the use and efficacy of PRP in meniscus tears.
Age and sex-specific associations of visit-to-visit variability of glycated hemoglobin A1c with all-cause mortality in patients with diabetes

Background: Visit-to-visit variability (VVV) of glycated hemoglobin (HbA1c) levels have been found to be associated with prognosis of diabetes. However, little is known about whether or to what extent sex and age may modify the effects of VVV. Methods: To investigate age- and sex-specific rates of mortality from all causes and relative hazards of mortality in association with VVV of HbA1c levels, 47,145 patients with diabetes and prescription of any antidiabetic agents >6 months were identified from outpatient visits of a tertiary medical center in northern Taiwan during 2003–2018. VVV of HbA1c was measured by quartiles of standard deviation (SD), coefficient of variation (CV), and average real variability (ARV), respectively. The study subjects were linked to Taiwan’s National Death Registry to identify all-cause mortality. The person-year approach with the Poisson assumption was used to assess the all-cause mortality rates, and Cox proportional hazard regression model was used to evaluate the relative hazards of all-cause mortality concerning various levels of VVV of HbA1c. Results: The lowest all-cause mortality rate was found in either the first or second quartile of various measures for VVV of HbA1c, but the highest mortality rate was consistently observed in the fourth quartile of VVV, regardless of SD, CV, or ARV across ages and sexes. Increased hazards of overall all-cause mortality were noticed from the second to fourth quartile of VVV of HbA1c. In detailed age- and sex-stratified analyses, elevated risk of mortality was seen in the fourth quartile of those aged <50 years while in those aged >69 years, increased risk of mortality was noticed in the third and fourth quartiles of any VVV of HbA1c irrespective of sex. In those aged 50–69 years, incremental increased hazards of mortality were consistently observed in the second to fourth quartiles of VVV of HbA1c. Conclusion: HbA1c variability whether it was SD, CV, or ARV could strongly predict the risks of all-cause mortality. The extent of the relationship between VVV of HbA1c and all-cause mortality in different age groups was comparable between both sexes. Given the importance of long-term glucose fluctuation, the inclusion of HbA1c variability calculated from the standardized method should be considered by clinical guideline policymakers as part of the biochemical panel in daily diabetes management.
Electromagnetic Field Theory: A Problem Solving Approach

Develops problem solving confidence through a series of increasingly complex worked examples, emphasizing problems based on physical processes, devices, and models. Covers charges as the source of the electric field coupled to polarizable and conducting media with negligible magnetic field; currents as the source of the magnetic field coupled to magnetizable media with electromagnetic induction generating an electric field; and electrodynamics where the electric and magnetic fields are of equal importance resulting in radiating waves. Presents sample problems and solutions for each new concept, using different problem solving methods to demonstrate advantages and limitations of each approach. Clarifies the rigorous mathematical development by describing systems with linear, constant co-efficient differential and difference equations.
Effect of circuit training with low-carbohydrate diet on body composition, cardiometabolic indices, and exercise capacity in adults with mild to moderate obesity in Saudi Arabia: A randomized control trial

Background: Circuit training that combines aerobic and resisted training is reported to reduce body fat, weight, and improve exercise capacity than performing either type of exercise independently. There is no study evaluating the combined effect of circuit training exercise (CTE) and dietary intervention (low-carbohydrate [LC] diet) among young males with obesity. Methods: A randomized control trial was conducted to explore the effects of a combined program of CTE and a LC diet for adults with mild or moderate obesity. Seventy adults with obesity were allocated randomly into 2 groups. The experimental group (group 1) received circuit training with LC diet intervention, whereas the control (group 2) received only circuit training. The study variables such as exercise capacity, body composition, and cardiometabolic indices were measured at the baseline and the end of 60 days of intervention. Results: The participants of group 1 showed significant improvements in body composition (body weight, body mass index, waist circumference, waist hip circumference, and body fat percentage), exercise capacity (maximal oxygen consumption), and cardiometabolic indices (high-density lipoprotein, low-density lipoprotein, triglycerides, and total cholesterol) with a P < . 05 for all the variables, when compared with group 2. Conclusions: The combined structured CTE with controlled LC diet intervention in obese adults caused significant reduction in body composition and cardiometabolic indices variables and an increase in exercise capacity.
Single- and double-electron capture in low-energy Ne10+-He collisions

We present a combined experimental/theoretical study of Ne10+-He collisions in the 50? E? 150? keV impact energy range using improved-resolution recoil ion momentum spectroscopy. Total and differential cross sections for single-electron capture onto the levels n = 3,4,5 and 6 of Ne9+(nl) and double-electron capture onto series of doubly excited states 3, n and 4, n with n = 4, 5 and 6 of Ne8+ have been obtained. They are found to be in good agreement with close-coupling calculations. Population mechanisms for the dominantly populated double-capture channels have been deduced from this work. Special emphasis is brought to the analysis of the partial stabilization ratios to obtain a new insight into the velocity dependence of total stabilization ratios.
Comparison of five depth-averaged 2-d turbulence models for river flows

In this study, five depth-averaged 2-D turbulence models for river flows, including the depth-averaged parabolic eddy viscosity model, modified mixing length model, standard k-" turbulence model, non-equilibrium k-" turbulence model and re-normalized group (RNG) k-" turbulence model, are compared in the simulation of flows around a spur-dyke, in a sudden-expanded flume and in two natural rivers. It is shown that in the two field cases where the channel geometries are simple, all five models can give generally good predictions for the main flow features. However, in the two laboratory cases where the channel geometries are complex, differences have been found among these models. The depth-averaged parabolic eddy viscosity model over-predicts the recirculation flows behind the spur-dyke and the flume expansion. The modified mixing length model gives better prediction than the depth-averaged parabolic model. The standard k-" turbulence model predicts well for the recirculation flow in the sudden-expended flume, but under-predicts the length of recirculation zone behind the spur-dyke, while the non-equilibrium and RNG k-" turbulence models provide good results for both laboratory cases.
Double Gate Nmos Structure Delineated Using Hfo2 Dielcetric

Eloquent challenges to circuit design takes place on vigorous scaling contemporary MOSFETs below 100nm. Diminishing dimensions of transistors leads to phenomenon like gate leakage, DIBL, short channel effects. As feature size is reduced by inclusion of interconnect layers, the density of the digital and analog circuit will rise while intrinsic gate switching delay is reduced. This resulted in emergence of DGMOSFET. We have depicted DG NMOSFET with HfO 2 dielectric at 35nm scale wielding Silvaco TCAD tool and obtained result. A two dimensional device delineating was carried out and observed that DG NMOSFET with HfO 2 dielectric has a low leakage current, subthreshold slope as compared to conventional DG NMOSFET.
The rise and rise of renewable cities

The decoupling of fossil fuels from growth in economic activity has been proceeding rapidly for most of the 21st century and is analysed globally in terms of structures and technologies for energy efficiency and for switching to renewable energy in the world’s cities. This is leading to the decline of coal and oil. The evidence suggests that the changes are based on demand for the structures and technologies that are emerging, facilitating a disruptive process. The rise of renewable cities can therefore be expected to accelerate.
Detection of monochromatic x-ray emission in the interaction of ultrarelativistic electrons with a diamond single crystal

A yield of monochromatic radiation with an energy of about 19 keV has been detected in the scattering of 600- and 900-MeV electrons by the (100) planes of a diamond. The orientational and spectral characteristics that were measured indicate that a parametric (quasi-Cerenkov) x-radiation has been detected for the first time.
Method to detect or monitor the demagnetization of a magnet

The invention relates to a method to detect or monitor the demagnetization of a magnet. The invention relates to a method to detect a decrease of the demagnetization of permanent magnets (32) of the generator (12) of a wind turbine (1), wherein a frequency converter (14) is able adapt the variable frequency (f1) of the generator output voltage (Vout) to the frequency (f2) of a power grid (19), wherein the AC/DC converter (13) or the DC/AC converter (16) of the frequency converter (14) is been disabled, the electrical connections (Vout) between the generator (12) and the frequency converter (14) are switched on via circuit breakers (17), the generator speed ([omega]) is determined; the generator output voltage (Vout) is determined by a voltage sensor (21) which is part of the frequency converter (14), the magnetic flux density ([phi]) of the generator (12) is calculated depending on the generator speed ([omega]) and the generator output voltage (Vout), a demagnetization event is determined by comparing the resulting flux density value ([phi]res) with a predetermined flux density value ([phi]ref).
li n e F i r s t Enhancing the yield of antitubercular compounds from fenugreek [ Trigonella foenum-graecum (Methi)] seeds using response surface methodology

The Plackett–Burman design was applied to determine the factors significant for the enhancement of antitubercular compound yield from fenugreek [ Trigonella foenum-graecum (Methi)] seeds crude extract. By optimizing various conditions like solid-to-solvent ratio, time, shaking rate, temperature, seed particle size, and light yield of antitubercular compounds from fenugreek seeds studied in a batch system, a mathematical model was constructed showing the influence of each variable. The optimal level of each variable and its interaction with each other were determined by response surface methodology. A highly significant model was generated, with correlation coefficients ( R 2 ) of 0.9109 and 0.8307 for adjusted correlation coefficients ( R 2 ). Using this model, it was possible to achieve more than 90% of anti-TB compound yield from fenugreek seed crude extract, which could be produced when solid-to-solvent ratio, temperature, and time were set at 15 ml, 30°C, and 36 hours, respectively. Resazurin microtiter assay was used to determine the in-vitro antitubercular activity of the crude seed extract against Mycobacterium tuberculosis . The model accurately predicted the percentage yield and antitubercular effect of the crude extract.
Adaptive sliding mode formation control of multiple underwater robots

This paper proposes a new adaptive sliding mode control scheme for achieving coordinated motion control of a group of autonomous underwater vehicles with variable added mass. The control law considers the communication constraints in the acoustic medium. A common reference frame for velocity is assigned to a virtual leader dynamically. The performances of the proposed adaptive SMC were compared with that of a passivity based controller. To save the time and traveling distance for reaching the FRP by the follower AUVs, a sliding mode controller is proposed in this paper that drives the state trajectory of the AUV into a switching surface in the state space. It is observed from the obtained results that the proposed SMC provides improved performance in terms of accurately tracking the desired trajectory within less time compared to the passivity based controller. A communication consensus is designed ensuring the transfer of information among the AUVs so that they move collectively as a group. The stability of the overall closed-loop systems are analysed using Lyapunov theory and simulation results confirmed the robustness and efficiency of proposed controller.
Predicting Psychological Well-being in Survivors of Armed Conflict in Colombia

ABSTRACT The assessment and promotion of the psychological well-being in people and communities affected by the armed conflict are pending tasks for the Colombian health system. This study aimed to analyze the extent to which the dimensions of social support and quality of life significantly predict psychological well-being in survivors of the armed conflict in Colombia. For this purpose, a structural equation model describing the links between these variables was developed. A predictive cross-sectional design allowed confirming significant differences between a sample of 272 survivors (Mage = 43.24, SD = 14.25, range 18–85) and other 212 participants not affected by the armed conflict (Mage = 32.42, SD = 12.03, range 18–69). Using a Mann Whitney U test, the results revealed that both samples differed in all the dimensions of quality of life and social support, with the exception of the dimensions Environment and Instrumental. In survivors specifically, psychological well-being positively correlated with both quality of life (r = .40, p. <.01) and social support (r = .30, p. <.01). A binary logistic regression correctly classified 72.4% of the sample of survivors revealing that the model acceptably classifies this population according to their level of well-being. The structural equation model developed showed a good fit GFI y TLI ≥. 93, RMSEA ≤. 06, CFI e IFI ≥. 95. In addition to contributing to the existing knowledge about psychological well-being in survivors, the findings provide guidelines that allow the improvement and reinforcement of public health actions and comprehensive reparation policies.