Miracle-dz/UniFAR-FTUs huggingface dataset:
Caffeine stabilises fission yeast Wee1 in a Rad24-dependent manner but attenuates its expression in response to DNA damage identifying a putative role for TORC1 in mediating its effects on cell cycle progression

The widely consumed neuroactive compound caffeine has generated much interest due to its ability to override the DNA damage and replication checkpoints. Previously Rad3 and its homologues was thought to be the target of caffeine’s inhibitory activity. Later findings indicate that the Target of Rapamycin Complex 1 (TORC1) is the preferred target of caffeine. Effective Cdc2 inhibition requires both the activation of the Wee1 kinase and inhibition of the Cdc25 phosphatase. The TORC1, DNA damage, and environmental stress response pathways all converge on Cdc25 and Wee1. We previously demonstrated that caffeine overrides DNA damage checkpoints by modulating Cdc25 stability. The effect of caffeine on cell cycle progression resembles that of TORC1 inhibition. Furthermore, caffeine activates the Sty1 regulated environmental stress response. Caffeine may thus modulate multiple signalling pathways that regulate Cdc25 and Wee1 levels, localisation and activity. Here we show that the activity of caffeine stabilises both Cdc25 and Wee1. The stabilising effect of caffeine and genotoxic agents on Wee1 was dependent on the Rad24 chaperone. Interestingly, caffeine inhibited the accumulation of Wee1 in response to DNA damage. Caffeine therefore modulates cell cycle progression contextually through increased Cdc25 activity and Wee1 repression following DNA damage via TORC1 inhibition.
Monetary Unions and National Welfare

This paper studies monetary regime choice between monetary union and flexible exchange rate regime in a large open economy framework. The classical approach emphasizes that monetary unions are inherently costly because a single interest rate cannot respond effectively to different shocks of members of the union. Therefore, it is argued that countries with similar shocks should establish a monetary union so that the cost of one-size-fits-all monetary policy is minimized. This study reveals that when there are inefficient shocks (namely those which distort the economy asymmetrically and break the 'divine coincidence') and countries are large, the classical approach fails. In that case, monetary regime choice should depend on relative variation (mean preserving spread) of inefficient shocks rather than proximity of shocks. A union implicitly imposes cooperation in monetary policy between its members. This cooperation improves response to foreign inefficient shocks while it worsens responses to domestic inefficient shocks slightly less in terms of domestic welfare. Therefore, a country chooses monetary union over flexible exchange rate regime if variation of foreign shocks is close to or larger than variation of domestic shocks. That is on the condition that losing exchange rate flexibility is not costly or has a small cost. In this way, the domestic country 'ties the hand of the foreign country' and prevents foreign monetary policy actions which hurt domestic welfare. Both countries benefit from cooperation provided by the union, if variances (spreads) of domestic and foreign shocks are close enough. Then, a monetary union becomes Pareto Improvement. How close variances should be so that monetary union is welfare increasing or Pareto Improvement, and welfare loss or gain of losing exchange rate flexibility are contingent upon price rigidity and trade elasticity.
Protective function of butylated hydroxytoluene in lead-induced oxidative alterations in tissues of Wistar rats

This study was designed to evaluate the protective function of butylated hydroxytoluene (BHT) in Pbinduced oxidative damage to blood, hepatic and renal tissues of exposed rats. Four groups (I-IV) with six male Wistar rats each, were considered in this study, where group I rats (control) received 1 ml of corn oil, group II received intraperitoneally 30 mg PbCl2/kg b. wt of rats only, group III rats were administered with NOAEL of BHT at 25 mg/kg and group IV rats were administered intraperitoneal injection of 30 mg PbCl2 plus oral administration of 25 mg BHT dispersed in corn oil per kg b. wt of the rats for 28 days with the evaluation of oxidative stress biomarkers in the tissues. Pb significantly increased tissue MDA levels in group II rats, but BHT reduced MDA levels in tissues for groups III and IV rats at p<0.05 relative to control. In serum, biomarkers (GSH: 1.46 ± 0.08 μg/mg protein; CAT: 63.74 ± 0.20 units/mg protein; SOD: 16.49 ± 0.39 units/mg protein and GPx: 12.84 ± 0.17 units/mg protein) exhibited significant reduction (p<0.05) in group II rats, but were significantly stimulated in groups III and IV rats relative to group I rats. Similar trends were observed in hepatic and renal tissues. Therefore, the present study successfully established the functional role of BHT in the amelioration of Pb-induced oxidative stress in exposed rats. DOI: https://dx.doi. org/10.4314/jasem.v23i11. 23 Copyright: Copyright © 2019 Obiwulu. This is an open access article distributed under the Creative Commons Attribution License (CCL), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Dates: Received: 04 October 2019; Revised: 11 November 2019; 23 November 2019
First neutral beam experiments on Wendelstein 7-X

In the previous divertor campaign, the Wendelstein 7-X (W7-X) device injected 3.6 MW of neutral beam heating power allowing for the achievement of densities approaching 2 × 1020 m−3, and providing the first initial assessment of fast ion confinement in a drift optimized stellarator. The neutral beam injection (NBI) system on W7-X is comprised of two beam boxes with space for four radio frequency sources each. The 3.6 MW of heating reported in this work was achieved with two sources in the NI21 beam box. The effect of combined electron-cyclotron resonance heating (ECRH) and NBI was explored through a series of discharges varying both NBI and ECRH power. Discharges without ECRH saw a linear increase in the line-integrated plasma density, and strong peaking of the core density, over the discharge duration. The presence of 1 MW of ECRH power was found to be sufficient to control a continuous density rise during NBI operation. Simulations of fast ion wall loads were found to be consistent with experimental infrared camera images during operation. In general, NBI discharges were free from the presence of fast ion induced Alfvénic activity, consistent with low beam betas. These experiments provide data for future scenario development and initial assessment of fast-ion confinement in W7-X, a key topic of the project.
Recent Advancements in Crystalline Pb-Free Halide Double Perovskites

Lead halide perovskites have gained more and more attention because of their ease of synthesis and excellent photoelectric properties including a large absorption coefficient, long carrier lifetime, long carrier diffusion length, and high carrier mobility. However, their toxicity, instability, and phase degradation in ambient environments impede their large-scale applications. To address these concerns, it is desirable to find stable alternative halide perovskites without toxicity and with comparable optoelectronic properties to lead-based perovskites. Over the years, a considerable number of lead-free halide perovskites have been added to this family of materials, including A2B’B’’X6, A2BX6, and A3B2X9 type perovskites. Among these, double perovskites with the general formula A2B’B’’X6 are deemed to be a potential alternative to lead halide perovskites as they possess good stability under ambient conditions and excellent optoelectronic properties. In this review, recent progress in exploring Pb-free halide double perovskites is highlighted. The synthesis, composition-tuning, physical properties, and applications of representative 3D, 2D, and nanocrystal A2B’B’’X6 double perovskites are introduced. In addition, perspectives about current challenges and solutions in this field are also provided.
Orthogonal Projection-Based Channel Estimation for Multi-Panel Millimeter Wave MIMO

Multi-panel MIMO is a promising technology in millimeter wave communications. Due to its partially hybrid structure and non-uniform antenna array, existing channel estimation cannot be directly applied to multi-panel MIMO. In this paper, we study channel estimation for multi-panel mmWave MIMO. We firstly model channel estimation of multi-panel MIMO as a block-sparse signal recovery problem. Then, according to maximum likelihood criterion, we propose an orthogonal projection method to firstly detect the support of the sparse channel response vector and then perform least square estimation, based on which we also propose a low-complexity greedy support detection in order to reduce computational complexity. Finally, through analyzing pairwise error probability of support detection, we verify the performance gain of joint multi-panel channel estimation over single panel channel estimation, and we further find that joint multi-panel channel estimation with independently generated random combining matrices outperforms that with identically generated combining matrices. Numerical results verify the superiority of our proposed joint multi-panel orthogonal projection based channel estimation over existing schemes.
Footwear Design Strategies for Thai Footwear Industry to Be Excellence in World Market

The potential of Thai industrial product design is still inferior to those of leading competitors in world market that give more importance on the design during their product development to increase their competitive edges on commercial scale. The product design is very important part for sustainable growth in this industry. Thus, this research aims at investigating footwear design strategies for Thai footwear industry to be excellence in world market. The research has been designed with the mixed method of both qualitative and quantitative study. The quantitative data were collected through semi-structure interview from 500 designers who presented their designs to join the award competition. The results revealed that the footwear design strategies consisted of 4 factors, i.e. 1) design, 2) market analysis, 3) innovation, and 4) information technology. This paper utilizes the method of Structural Equation Modeling (SEM) to establish a strategies model for competitive advantage in Thai footwear industry. The analysis results indicated that the footwear design strategies model could help make more effective policies and organization strategies for enterprises and designers to develop themselves to be excellence in world market.
The fate of standing variation and new mutation under climate change

Many species face existence threat under anthropogenic climate change, and standing genetic variation was proposed as a way for sessile species to adapt to novel environments. However, it is still unknown whether standing genetic variants, being adaptive to current environmental variability, are sufficient to guarantee future survival. Here we investigate the relative importance of standing variation versus new mutations and their relative effect sizes from the past to infer the future. While theoretical and experimental evolution studies provided valuable insights, examples in nature are scarce. In the wild banana Musa itinerans in Taiwan, we found enrichment of standing variation with environmental associations. New mutations exert larger effect size per variant in precipitation-related climatic variables, where Taiwan contains extreme environments beyond the ancestral climatic range, and novel alleles have stronger association with novel environments. This pattern is reversed for temperature-related variables, where Taiwan is within the ancestral environmental range. Despite such differences, anthropogenic climate change impacts both types of variants strongly. The results constitute one of the few examples in nature demonstrating that the effect sizes of adaptive variants differ under distinct environmental pressures, and the patterns support theoretical predictions that natural selection favors new mutations with larger effect sizes in a novel environment where the population is far from the adaptive peak. Despite the importance of new mutations, however, the pace of anthropogenic climate change may not allow the accumulation of such mutations.
Relationship among Eating Behavior, Effortful Control, and Working Memory in Female Young Adults

The management of eating behavior plays an important role in health maintenance. In this study, we investigated the relationship between eating behavior and effortful control in female young adults. Participants completed the questionnaire measures of effortful control and eating behaviors and Stroop cognitive interference task. The results showed that restrained eating was positively correlated with activation control; emotional eating was negatively correlated with inhibitory control and attentional control; external eating was negatively correlated with inhibitory, activation, and attentional control. The scores for activation control and restrained eating were higher for participants with a low Stroop error rate than for those with a high Stroop error rate. These results indicate that restrained eating has a different association with effortful control than doing emotional and external eating.
Exploiting Low-Cost 3D Imagery for the Purposes of Detecting and Analyzing Pavement Distresses

Road pavement conditions have significant impacts on safety, travel times, costs, and environmental effects. It is the responsibility of road agencies to ensure these conditions are kept in an acceptable state. To this end, agencies are tasked with implementing pavement management systems (PMSs) which effectively allocate resources towards maintenance and rehabilitation. These systems, however, require accurate data. Currently, most agencies rely on manual distress surveys and as a result, there is significant research into quick and low-cost pavement distress identification methods. Recent proposals have included the use of structure-from-motion techniques based on datasets from unmanned aerial vehicles (UAVs) and cameras, producing accurate 3D models and associated point clouds. The challenge with these datasets is then identifying and describing distresses. This paper focuses on utilizing images of pavement distresses in the city of Palermo, Italy produced by mobile phone cameras. The work aims at assessing the accuracy of using mobile phones for these surveys and also identifying strategies to segment generated 3D imagery by considering the use of algorithms for 3D Image segmentation to detect shapes from point clouds to enable measurement of physical parameters and severity assessment. Case studies are considered for pavement distresses defined by the measurement of the area affected such as different types of cracking and depressions. The use of mobile phones and the identification of these patterns on the 3D models provide further steps towards low-cost data acquisition and analysis for a PMS.
Optimizing Weight Mapping and Data Flow for Convolutional Neural Networks on Processing-in-Memory Architectures

Recent state-of-the-art deep convolutional neural networks (CNNs) have shown remarkable success in current intelligent systems for various tasks, such as image/speech recognition and classification. A number of recent efforts have attempted to design custom inference engines based on processing-in-memory (PIM) architecture, where the memory array is used for weighted sum computation, thereby avoiding the frequent data transfer between buffers and computation units. Prior PIM designs typically unroll each 3D kernel of the convolutional layers into a vertical column of a large weight matrix, where the input data needs to be accessed multiple times. In this paper, in order to maximize both weight and input data reuse for PIM architecture, we propose a novel weight mapping method and the corresponding data flow which divides the kernels and assign the input data into different processing-elements (PEs) according to their spatial locations. As a case study, resistive random access memory (RRAM) based 8-bit PIM design at 32 nm is benchmarked. The proposed mapping method and data flow yields <inline-formula> <tex-math notation="LaTeX">$\sim 2.03\times $ </tex-math></inline-formula> speed up and <inline-formula> <tex-math notation="LaTeX">$\sim 1.4\times $ </tex-math></inline-formula> improvement in throughput and energy efficiency for ResNet-34, compared with the prior design based on the conventional mapping method. To further optimize the hardware performance and throughput, we propose an optimal pipeline architecture, with ~50% area overhead, it achieves overall <inline-formula> <tex-math notation="LaTeX">$913\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$1.96\times $ </tex-math></inline-formula> improvement in throughput and energy efficiency, which are 132476 FPS and 20.1 TOPS/W, respectively.
Supermagnetic Nano-Bifunctional Catalyst from Rice Husk: Synthesis, Characterization and Application for Conversion of Used Cooking Oil to Biodiesel

The present work investigated the biodiesel production from used cooking oil catalyzed by nano-bifunctional supermagnetic heterogeneous catalysts (RHC/K2O/Fe) derived from rice husk doped with K2O and Fe synthesized by the wet impregnation method. The synthesized catalysts (RHC/K2O/Fe) were characterized for crystallinity by X-ray diffraction spectroscopy (XRD), total acidity and basicity using CO2/NH3-TPD, textural properties through Brunauer-Emmett-Teller (BET), thermal stability via thermogravimetric analyzer (TGA), functional group determination by Fourier-transform infrared spectroscopy (FTIR), surface morphology through field emission scanning electron microscopy (FESEM), and magnetic properties by vibrating sample magnetometer (VSM). The VSM result demonstrated that the super-paramagnetic catalyst (RHC/K2O-20%/Fe-5%) could be simply separated and regained after the reaction using an external magnetic field. The operating conditions such as catalyst loading, methanol/oil molar ratio, temperature, and reaction duration were studied. The screened RHC/K2O-20%/Fe-5% catalyst was selected for further optimization and the optimum reaction parameters found were 4 wt % of catalyst, a molar ratio of methanol/oil of 12:1, 4 h reaction duration, and 75 °C reaction temperature with a maximal yield of 98.6%. The reusability study and reactivation results revealed that the nano-bifunctional magnetic catalyst (RHC/K2O-20%/Fe-5%) could be preserved by high catalytic activity even after being reused five times.
Comprehensive model of linear PMSM-based ropeless lift for comparing control algorithms – Field-oriented control versus direct torque control

This is a further study of two previous articles of the authors. The simulation model includes saliency and almost all common imperfections of linear permanent magnet synchronous machine. Based on the same model, three types of control have been applied to drive the lift car for a typical fully loaded upward journey, namely field-oriented control, which was used in two previous articles, direct force control (conventional direct torque control on a linear machine) and a newly proposed direct speed control (a new direct torque control method that could be used in the lift industry). The performances in terms of speed accuracy during start-up and rated speed operation, power and energy consumption have been studied. The conclusion is that for such a new application in the lift industry, at this moment in time, the more conventional field-oriented control is highly recommended. Two new findings are reported. Direct speed control that involves a simpler circuitry and reasonable speed control is proposed, although there is always a small steady-state error due to the absence of a proportional–integral controller. Conventional direct torque (force) control involves continuous integration to estimate the magnetic fluxes, which is not applicable to a permanent magnet synchronous machine with saliency. A new definition to analytically estimate the magnetic flux linkages in real time is also proposed. It should be noted that field-oriented control is superior at this time. When technology continues to get advanced, direct force control and direct speed control may one day be more appropriate for linear permanent magnet synchronous machine application. The software to perform the simulation has been uploaded to the BSER&T/SAGE website. Practical application: It is generally agreed by the lift industry that the installation of multi-dimensional lifts employing linear permanent magnet synchronous machines is a clear trend in the future. This article is a follow up of two previous ones, studying the performance of three types of control for linear permanent magnet synchronous machine. Necessary equations of the machine model, imperfections, digital control loops are included. Some findings regarding the differences in performance are reported. It is hoped that this article is useful for lift manufacturers to enter this new market of vertical transportation.
EFSA NDA Panel (EFSA Panel on Dietetic Products, Nutrition and Allergies), 2015. Scientific Opinion on Dietary Reference Values for calcium

Following a request from the European Commission, the Panel on Dietetic Products, Nutrition and Allergies derived Dietary Reference Values for calcium. These include Average Requirement (AR), Population Reference Intake (PRI) and Adequate Intake (AI). For adults, data were analysed from a number of balance studies undertaken in North America and the mean value at which calcium intake equals excretion was calculated as 715 mg/day in adults ≥ 25 years. An allowance for dermal calcium losses (not included in the balance data) of 40 mg/day was added to derive an AR of 750 mg/day. The upper bound of the 95 % prediction interval at the estimated population mean at null balance (which represents the 97.5 th percentile of the distribution of the individual predictions for each calcium intake level) was 904 mg/day, and when dermal losses are added this gives a PRI of 950 mg/day for adults ≥ 25 years. For infants (7–11 months), an AI was derived by extrapolating the average amount of calcium absorbed by exclusively breast-fed infants (120 mg/day) using isometric scaling and assuming an absorption of 60 %, and was calculated as 280 mg/day. The AR for children was derived using the factorial approach. The total quantity of calcium required for bone accretion and replacement of endogenous losses was adjusted for percentage absorption to derive PRIs for children aged 1–3, 4–10 and 11–17 years of 450, 800 and 1 150 mg/day, respectively. The PRI for young adults (18–24 years), who still accumulate calcium in bones, is 1 000 mg/day. This is the intermediate value between children aged 11–17 years and adults. Taking into consideration adaptive changes in calcium metabolism that occur during pregnancy and lactation, the PRI for non-pregnant women also applies to pregnant and lactating women of the same age group. © European Food Safety Authority, 2015