Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiative and microphysical responses of clouds to an anomalous increase in fire particles over the Maritime Continent in 2015

Abstract. The year of 2015 was an extremely dry year for Southeast Asia where the direct impact of strong El Niño was in play. As a result of this dryness and the relative lack of rainfall, an extraordinary amount of aerosol particles from biomass burning remained in the atmosphere over the Maritime Continent during the fire season. This study uses the Weather Research and Forecasting model coupled with Chemistry to understand the impacts of these fire particles on cloud microphysics and radiation during the peak biomass burning season in September. Our simulations, one with fire particles and the other without them, cover the entire Maritime Continent region at a cloud-resolving resolution (4 km) for the entire month of September in 2015. The comparison of the simulations shows a clear sign of precipitation enhancement by fire particles through microphysical effects; smaller cloud droplets remain longer in the atmosphere to later form ice crystals, and/or they are more easily collected by ice-phase hydrometeors, in comparison to droplets under no fire influences. As a result, mass of ice-phase hydrometeors increases in the simulation with fire particles, so does rainfall. On the other hand, we see no clear sign of temperature differences between the two simulations that could stem from the semi-direct effects of aerosols by absorbing the incoming solar radiation. Clouds are more reflective in the simulation with fire particles as ice mass increases. Combined with the direct scattering of sunlight by aerosols, the simulation with fire particles shows higher albedo over the simulation domain on average. The simulated response of clouds to fire particles in our simulations clearly differs from what was presented by two previous studies that modeled aerosol-cloud interaction in years with different phases of El Niño-Southern Oscillation (ENSO), suggesting a further need for an investigation on the possible modulation of fire-aerosol-convection interaction by ENSO.
Analysis of Factors Affecting Individuals' Sources of Happiness with Multinomial Logistic Model

The happiness levels of individuals and their sources of happiness have been wondered a lot and researched from past to present. The aim of this study is to examine the factors that affect individuals' sources of happiness. The data set of the study was obtained from the Life Satisfaction Survey of the Turkish Statistical Institute. 9212 individuals were included in the study. In the study, chi-square independence tests were conducted to examine the relationship between the source of happiness and the independent variables included in the model, and multinomial logistic regression analysis was applied to determine the factors that may have an effect on the sources of happiness of individuals. As a result of the study, it has been determined that the factors of the individual's age, gender, marital status, educational status, satisfaction with income level, welfare level, life satisfaction, satisfaction with a social life are effective on sources of happiness. At such a time when it is clear that the coronavirus epidemic adversely affects many aspects of our lives, especially our psychology, and will leave a mark on our tomorrows, and the activities of decision-makers and policymakers are shed light through the study in order to increase the happiness of individuals and to ensure that the future will be better.
To optimize electrical properties of the ultrathin (1.6 nm) nitride/oxide gate stacks with bottom oxide materials and post-deposition treatment

The electrical properties affected by the bottom oxide materials and the post-deposition treatment on the ultrathin (down to 1.6 nm) nitride/oxide (N/O) stacks, prepared by rapid thermal chemical vapor deposition (RTCVD) with two-step NH/sub 3//N/sub 2/O post-deposition annealing, for deep submicrometer dual-gate MOSFETs have been studied extensively. N/O stack with NO-grown bottom oxide exhibits fewer flat-band voltage shifts and higher hole and electron mobility, but suffers from worse leakage current than that with conventional O/sub 2/-grown bottom oxide. In post-deposition treatment, increasing NH/sub 3/ nitridation temperature can effectively reduce the equivalent oxide thickness (EOT) and improve leakage current reduction rate, but can result in worse mobility. Furthermore, the subsequent N/sub 2/O annealing eliminates the defects and offers a contrary effect on the N/O stack in comparison with the NH/sub 3/ nitridation step.
Towards threshold‐agnostic heavy‐hitter classification

A heavy‐hitter (HH) network traffic flow consumes considerably more network resources than other flows combined. The classification of HHs is critical to provide, among others, the required level of Quality of Service and reliability in both conventional and data center networks. HH classification is typically threshold‐based. However, there is no consistent and accepted threshold or set of thresholds that would reliably classify flows. Furthermore, existing threshold‐driven approaches use counters (e.g., duration, packets, and bytes); thus, their accuracy depends on how complete the flow information is. This paper paves the way to threshold‐agnostic HH identification by proposing an approach that performs HH classification based on per‐flow packet size distribution (PSD) and template matching (TM). PSD allows capturing the behavior and dynamism of network traffic flows (even from their first few packets). TM enables to classify HHs by measuring the similarity between the PSD of observed flows and a set of master templates representing the flow size behavior of HH classes. We evaluated the PSD‐ and TM‐based approach using flows extracted from real traffic traces. Results show that our approach classifies HHs accurately and timely, corroborating that the threshold‐less perspective is feasible for HH identification.
The Effects of Intermarriage on Wages for Immigrant Women in Italy

In the current article, we analyze the impact of intermarriage on the wages of immigrant women in Italy. Using a sample of married immigrant women from a randomly selected sample, representative of families with foreigners in Italy, we estimate Ordinary Least Squares and we address self-selection into employment, while simultaneously accounting for intermarriage endogeneity with the combined method. The results reveal 9 percentage points higher earnings for intermarried immigrant women. However, this vanishes once we add other characteristics, as well as when we account for endogeneity and selection into employment, separately and simultaneously. We conclude that although immigrant women who marry natives have higher wages, this is due to their observable and unobservable characteristics.
Progress of the First-Turn Commissioning Simulations for HEPS

This paper describes the progress of the first-turn commissioning simulation for the High Energy Photon Source. We develop and update the simulation algorithm for achieving the first-turn commissioning based on the latest HEPS storage ring lattice. The accelerator toolbox (AT)-based program is updated for automatically optimizating the first-turn commissioning. There is no significant difference compared to the results for previous lattice version. The 4D simulation results and the sensitivities of accumulation rate are also considered. The accumulation rates are higher than 65% with the corrector strength limit higher than 500 μrad and the quadrupole shift lower than 30 μm.
Status of Kidney Function in Hospitalised COVID-19 Patients in the Southern Gyeonggi Province, South Korea

Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to investigate the status of renal function in patients with COVID-19. The study surveyed a total of 649 patients hospitalized with COVID-19 at a hospital located in southern Gyeonggi Province, South Korea over a one month period in January 2021. The parameters analyzed were blood urea nitrogen (BUN), creatinine, sodium, potassium, chloride, and estimated glomerular filtration rate (eGFR). The BUN and creatinine of the COVID-19 patients were found to be higher than the normal reference range, specially in males, and in the elderly (60s and 80s or older). The serum electrolyte levels of the patients were observed to be within the reference intervals. Of the subjects, males over 80 years of age had a Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) of 60 mL/min/1.73 m 2 or less. Recent research suggests that some severe cases of COVID-19 are showing signs of kidney damage, even in those with no prior underlying kidney disease. Thus, assessment of kidney function using multiple indicators could help diagnose abnormal renal function in patients with COVID-19. Copyright Ⓒ 2021 The Korean Society for Clinical Laboratory Science. All rights reserved.
Multi-Parameter Optimization of Efficiency, Capital Cost and Mass of Ferris Wheel Turbine for Low Wind Speed Regions

The design and development of wind turbines in low-wind-speed areas involves several technical and financial challenges related to maximizing conversion efficiency and minimizing cost. Unfortunately, much of the African continent is dominated by low-wind-speed resources. In this study, a multi-parameter optimization method is used to explore the design of a novel Ferris wheel wind turbine (FWT) technology, which has an 800-kW generation capability. We used the tip speed ratio, lift-to-drag ratio and power coefficient to determine the optimal efficiency by varying the number of blades and rim diameters. The capital cost estimates, as affected by rim diameter and the number of blades, are presented. This paper studies FWTs at their rated wind speeds because wind turbines have their maximum performance at the rated wind speeds, and this allows one to observe the effects of changing the rim diameter and the number of blades without the need to consider the location of the turbine. The results show that reducing the number of spokes by half (from 64 to 32) on the four rim diameters studied decreases the efficiency by less than 0.19%, while reducing the acquisition cost by 42%, installation cost by 42% and mass by 28%. Reducing the number of spokes to a quarter (i.e., from 32 to 16) decreases the efficiency by less than 0.31%, reduces the acquisition and installation costs by 36% and 35.5%, respectively, and the mass by 19.2%, of the four rim diameters studied. The reduction of the number of blades has a significant effect on the efficiency and capital cost with varying rim diameters. This paper shows the potential for Ferris-wheel-based wind turbines for low-wind-speed conditions, such as those that prevail in parts of Africa.
Impact of available and perceived control on comfort and health in European offices

The objective of this study was to find out how perceived control and access to control options like operable windows and thermostats affect the comfort and health of European office workers. For this, the Health Optimisation Protocol for Energy-efficient Buildings database was re-analysed. Statistical analyses were conducted to find out what the impact is of available controls on perceived control of building occupants. Furthermore, the effect of perceived control on comfort and health (building-related symptoms) of building occupants was determined. Overall, no significant correlations were found between available controls and perceived control. Solar shading, however, was an exception. On the other hand, between perceived control and comfort or health, multiple significant correlations were found. Occupants are more comfortable in buildings in which the amount of perceived control over temperature, ventilation and noise is high. Perceived control also has an impact on the incidence of building related symptoms, also if one looks at combinations of perceived control (e.g. control over temperature and ventilation).
40-Gb/s Low Chirp Electroabsorption Modulator Integrated With DFB Laser

A 40-Gb/s monolithically integrated transmitter containing an InGaAsP multiple-quantum-well electroabsorption modulator (EAM) with lumped electrode and a distributed-feedback semiconductor laser is demonstrated. Superior characteristics are exhibited for the device, such as low threshold current of 20 mA, over 40-dB sidemode suppression ratio at 1550 nm, and more than 30-dB DC extinction ratio when coupled into a single-mode fiber. By adopting a deep ridge waveguide and planar electrode structures combined with buried benzocyclobutene, the capacitance of the EAM is reduced to 0.18 pF and the small-signal modulation bandwidth exceeds 33 GHz. Negative chirp operation is also realized when the bias voltage is beyond 1.6 V.
Use of Multi-Zone DI Diesel Spray Combustion Model for Simulation and Optimization of Performance and Emissions of Engines with Multiple Injection

A multi-zone, direct-injection (DI) diesel combustion model, the so-called RK-model, has been developed and implemented in a full cycle simulation of a turbocharged engine. The combustion model takes into account: • transient evolution of fuel sprays, • interaction of sprays with swirl and walls, • evolution of near-wall flow formed after spray-wall impingement depending on impingement angle and swirl, fuel-air mixing, • interaction of near-wall flows formed by adjacent sprays,
Optimization of Milling Parameters of Unmodified Calotropis Procera Fiber-Reinforced PLA Composite (UCPFRPC)

This study involves the optimization of the milling parameters of unmodified Calotropis Procera fiber-reinforced PLA composite (UCPFRPC). The material is prepared from the combination of 20% Calotropis-Procera and 80% of PLA by weight. The experiments are designed using the Taguchi methodology, where 16 experiments are obtained using the spindle rotational speed, depth of cut, and feed rate as the parameters. These experiments were conducted while obtaining thermal images using an infrared camera and recording the machining time. The change in mass was then determined and the material removal rate computed. The machined workpieces were then investigated for surface roughness. The study shows that the optimal milling parameters in the machining of UCPFRPC for the lowest surface roughness are 400 rpm, 400 mm/min, and 0.2 mm, for the rotational spindle speed, feed rate, and depth of cut. The parameters were 400 rpm, 100 mm/min, and 1.2 mm for the largest MRR, and 400 rpm, 400 mm/min, and 0.2 mm for the least average milling temperature. In all the responses, the depth of cut is the most significant factor.
Applications of artificial intelligence in the apparel industry: a review

This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.
PZT thin film bulk acoustic wave resonators and filters

Thin Film Bulk Acoustic Wave Resonators (FBAR) using Lead Zirconate Titanate (PZT) thin films as the piezoelectric active layer are favourable for voltage controlled oscillators and wide band filters due to the large electro-mechanical coupling coefficient of PZT. This paper reports the fabrication process and results of PZT FBARs and filters. The temperature coefficient and bias voltage effect are also presented.
Aggregate Toughness/Abrasion Resistance and Durability/Soundness Tests Related to Asphalt Concrete Performance in Pavements

Numerous tests have been developed that empirically characterize aggregate without, necessarily, having a strong relationship to the performance of the final products incorporating these aggregates. This seems to be particularly true for aggregate toughness and abrasion resistance and durability and soundness. Toughness/abrasion resistance and durability/soundness tests for characterizing aggregate used in asphalt concrete were identified and evaluated, and those test methods that best correlate with field performance were determined. Based on a review of literature and specifications, laboratory tests for characterizing aggregate toughness/abrasion resistance and durability/soundness were selected. Sixteen aggregate sources with poor to good performance histories were identified for evaluation with the selected suite of tests. Performance histories of pavements containing these aggregates in asphalt concrete layers were established through personal contacts with state transportation agencies and performance evaluation questionnaires. Aggregate properties from laboratory tests were correlated with field performance. The micro-deval and magnesium sulfate soundness tests provide the best correlations with field performance of asphalt concrete and are recommended for characterizing aggregate toughness/abrasion resistance and durability/soundness.
1.5-nm gate oxide CMOS on [110] surface-oriented Si substrate

The dc and RF analog characteristics of ultrathin gate oxide CMOS on [110] surface-oriented Si substrates were investigated for the first time. The transconductance of p-MOSFETs on [110] substrates is 1.9 times greater than that on [100] substrates even in gate oxides in the direct-tunneling regime. An extremely high cutoff frequency of 110 GHz was obtained in 0.11 /spl mu/m gate length p-MOSFETs with 1.5 nm gate oxides. This is the highest value ever obtained for p-channel Si MOSFETs at room temperature. Further, it was demonstrated that more than 100 GHz of cutoff frequency is realized both for n- and p-MOSFETs. Thus, using [110] substrates results in a better balance for n- and p-MOS performances. The SiO/sub 2/ film and SiO/sub 2//Si interface qualities on [110] substrates were also investigated. In this experiment, it was found that direct-tunneling gate leakage current and initial 1/f noise of MOSFETs on [110] substrates are larger than those on [100] substrates. The reliability regarding Negative Bias Temperature Instability (NBTI) for p-MOSFETs on [110] substrates was also inferior to that for [100] MOSFETs. However, with a high-k insulator or improvement of the SiO/sub 2/ film quality, high mobility of p-MOSFETs on [110] substrates will have a potential not only for digital applications but also for new RF analog circuits under low supply voltage.
Experimental Study on the Effect of Acupuncture on ERM/PI3/Akt Signal Pathway in Rats with Ischemic Stroke

Objective: To observe the effect of acupuncture on the expression of ERM/PI3K/Akt signaling pathway in the brain tissue around the infarct focus of ischemic stroke model rats. Methods: According to the block randomization method, 80 male SD rats were divided into normal group (n = 10), sham operation group (n = 24), model group (n = 23) and acupuncture group (n = 23). The normal group was bred routinely without any intervention. In the sham operation group, only the skin was cut to find and the nerves and blood vessels were stripped and sutured. The model group and the acupuncture group were sutured to prepare the MCAO model. After the model was successfully established, acupuncture of the acupuncture group rats was given once a day, and the needles were kept for 30 minutes each time. The rats in the sham operation group and the model group only imitated capture and return, and were treated with acupuncture for 2 consecutive courses, each course was 5 days, and the two courses were rested for 2 days. After that, Western blot was used to detect ERM, changes in the concentration of PI3K and Akt proteins. Results: Compared with the normal group, the expression levels of ERM, PI3K, and Akt proteins in the sham operation group were reduced. Compared with the sham operation group, the expression levels of ERM, PI3K, and Akt proteins in the model group were significantly down-regulated. Compared with the model group, the protein expression levels of ERM, PI3K and Akt were significantly up-regulated in the acupuncture group, and the difference was statistically significant (P < 0.05). Conclusion: Acupuncture can significantly up-regulate the expression of ERM, PI3K and Akt proteins, and its effect mechanism may be related to the transduction of ERM/PI3K/Akt signaling pathway in cells.
ANALYSIS DETERMINANT OF DIVIDEND PAYOUT RATIO AND ITS IMPACT TO THE FIRM VALUE (EMPIRICAL STUDY ON FOOD AND BEVERAGE INDUSTRY ISSUER 2016-2019)

The purpose of this research is to Analyze Determinant of Dividend Payout Ratio and Its Impact to The Firm Value (Empirical Study on Food And Beverage Industry Issuer 2016-2019). The samples in the form of secondary data as many as 16 companies collected from financial statements listed on the Indonesia Stock Exchange (IDX). In this study, nine research hypotheses were formulated. The analysis design used is quantitative data with panel data regression method which is processed with Eviews 9 with a random effect model. Hypothesis testing using F test, T test, and Sobel test (Path Analysis). The results showed that partially direct financial performance as proxied by the current ratio, debt equity ratio and return on assets had a positive effect on firm value, and partially current ratio, debt equity ratio and return on assets had a positive effect on dividend payout ratio. Simultaneously, the current ratio, debt equity ratio and return on assets have a positive effect on firm value. Indirectly, the dividend payout ratio is able to strengthen the relationship between the current ratio, debt equity ratio and return on assets to firm value.
Algorithmic Music for Therapy: Effectiveness and Perspectives

This study assessed the short-term effects of conventional (i.e., human-composed) and algorithmic music on the relaxation level. It also investigated whether algorithmic compositions are perceived as music and are distinguishable from human-composed music. Three hundred twenty healthy volunteers were recruited and randomly allocated to two groups where they listened to either their preferred music or algorithmic music. Another 179 healthy subjects were allocated to four listening groups that respectively listened to: music composed and performed by a human, music composed by a human and performed by a machine; music composed by a machine and performed by a human, music composed and performed by a machine. In the first experiment, participants underwent one of the two music listening conditions—preferred or algorithmic music—in a comfortable state. In the second one, participants were asked to evaluate, through an online questionnaire, the musical excerpts they listened to. The Visual Analogue Scale was used to evaluate their relaxation levels before and after the music listening experience. Other outcomes were evaluated through the responses to the questionnaire. The relaxation level obtained with the music created by the algorithms is comparable to the one achieved with preferred music. Statistical analysis shows that the relaxation level is not affected by the composer, the performer, or the existence of musical training. On the other hand, the perceived effect is related to the performer. Finally, music composed by an algorithm and performed by a human is not distinguishable from that composed by a human.