Miracle-dz/UniFAR-FTUs huggingface dataset:
Sliding mode control design based on the state-dependent Riccati equation: theoretical and experimental implementation

ABSTRACT In this paper, a suboptimal sliding mode control method is derived from combination of the sliding mode control (SMC) and the state-dependent Riccati equation (SDRE) technique, applied for a class of nonlinear closed-loop systems. One of the distinguished features of this control method is its robustness towards uncertainty. Due to lack of optimality in SMC method, in this paper, a robust and suboptimal method is presented by considering the SDRE in design of the sliding surface in two types of: algebraic and integral sliding surfaces. In addition, due to the use of the state-dependent differential Riccati equation in the integral form of sliding surface, proposed method is able to provide a robust attitude with desired finite-time control option. The sensitivity of various percentage of uncertainty in the physical structure of the system is studied and control strategies for general manipulators are provided. The proposed control structure was implemented on Scout robot theoretically and practically by the LabVIEW software; and the results were compared by considering the uncertainty in its structure. In comparison with conventional SMC, the proposed method reduced the required time to reach the sliding surface almost 50%.
Heterostructures of graphene and nitrogenated holey graphene: Moiré pattern and Dirac ring

Nitrogenated holey graphene (NHG) is a recently synthesized two-dimensional material. In this paper the structural and electronic properties of heterostructures of graphene and NHG are investigated using first-principles and tight-binding calculations. Due to the lattice mismatch between NHG and graphene, the formation of a moir\'e pattern is preferred in the graphene/NHG heterostructure, instead of a lattice-coherent structure. In moir\'e-patterned graphene/NHG, the band gap opening at the $K$ point is negligible, and the linear band dispersion of graphene survives. Applying an electric field modifies the coupling strength between the two atomic layers. The Fermi velocity ${v}_{F}$ is reduced as compared to the one of pristine graphene, and its magnitude depends on the twist angle $\ensuremath{\theta}$ between graphene and NHG: For $\ensuremath{\theta}={0}^{\ensuremath{\circ}}, {v}_{F}$ is 30% of that of graphene, and it increases rapidly to a value of 80% with increasing $\ensuremath{\theta}$. The heterostructure exhibits electron-hole asymmetry in ${v}_{F}$, which is large for small $\ensuremath{\theta}$. In NHG encapsulated between two graphene layers, a ``Dirac ring'' appears around the $K$ point. Its presence is robust with respect to the relative stacking of the two graphene layers. These findings can be useful for future applications of graphene/NHG heterostructures.
Phenobarbital responsive Sialadenosis in rottweiler dog - case report on clinical findings and treatments

Sialadenosis is a bilateral, painless, noninflammatory, uniform, and nonneoplastic condition reported in human and animal medicine. It is a rare condition in animal medicine with only a handful of case reports published to date. According to the different case reviews in the veterinary literature, it can be classified under different forms that are associated with enlargement of a salivary gland with gastrointestinal diseases or without any other abnormality and also phenobarbital responsive or non-responsive form. Phenobarbital-responsive sialadenosis associated with an oesophagal foreign body has also been reported in a dog. This communication presents a case report of phenobarbital responsive sialadenosis of a ten-month old male Rottweiler. This dog was presented with the main complaint of acute vomiting together with inappetence, gulping, and progressive weight loss. Imaging studies revealed gastrointestinal inflammation in the stomach with mild ulceration with unclear aetiology. The dog did not show any improvement to symptomatic treatments. Additionally, it developed bilateral enlargement of the submandibular salivary glands which were hard in consistency and evident at the second presentation at 10 days after the first. Treatment with oral phenobarbital brought rapid resolution of clinical signs. Until recently, the pathogenesis of sialadenosis and why it does respond to phenobarbital have not been well understood. Because of the response to phenobarbital treatments, sialadenosis may represent a form of limbic epilepsy or peripheral autonomic dysfunction.
Recursive Utility and Thompson Aggregators I: Constructive Existence Theory for the Koopmans Equation

We reconsider the theory of Thompson aggregators proposed by Marinacci and Montrucchio [34]. We prove a variant of their Recovery Theorem establishing the existence of extremal solutions to the Koopmans equation. We apply the constructive Tarski-Kantorovich Fixed Point Theorem rather than the nonconstructive Tarski Theorem employed in [34]. We also obtain additional properties of the extremal solutions. The Koopmans operator possesses two distinct order continuity properties. Each is sufficient for the application of the Tarski-Kantorovich Theorem. One version builds on the order properties of the underlying vector spaces for utility functions and commodities. The second form is topological. The Koopmans operator is continuous in Scott's [40] induced topology. The least fixed point is constructed with either continuity hypothesis by the partial sum method. This solution is a concave function whenever the Thompson aggregator is concave and also norm continuous on the interior of its effective domain.
High signal/noise ratio deep UV detector with maximum response at 230 nm based on mix-phase MgZnO deposited under high laser energy condition

A Mix-phase MgZnO thin film was fabricated on the c-plane sapphire substrate (Mg0.4Zn0.6O target) under high laser energy density condition by the PLD method. The internal quantum efficiency of the detector based on the mix-phase MgZnO thin film at 230 nm deep UV light reached 86% at 40 V bias voltage. And the Iuv(230 nm)/Idark ratio of the MgZnO detector reached 864 at 40 V bias voltage, which is mainly caused by both the higher internal gain of the detector at deep UV light and its smaller Idark. The high internal gain of the detector is mainly due to the higher density of interfaces between the different structure of MgZnO grains in the mix-phase MgZnO thin film, which is caused by the higher laser energy density deposition condition certified by contrast experiments. The small Idark of the detector is mainly caused by the higher barriers in the mix-phase MgZnO thin film and more cubic MgZnO in the mix-phase MgZnO thin film, and higher laser energy density deposition condition and O-rich c-plane sapphire substrate surface are key factors, which also agree with the contrast experiments results. So when the mix-phase MgZnO thin film that is constituted by both a small number of narrower band gap hexagonal MgZnO and a large number of wide band gap cubic MgZnO is used in the deep UV detector, and the difference in band gaps between different structures of MgZnO is relatively higher, a higher signal/noise ratio of the device at 230 nm deep UV light is gained, which is meaningful for developing high-performance deep UV detection technology.
Analysis and Modeling of Novel Organic Material BOBzBT2 With Strong Coupling of Frenkel Excitons and Surface Plasmon

The modeling studies and the experimental results have been demonstrated, showing a strong coupling (SC) between a collection of identical Frenkel excitons and the surface plasmon (SP) in this presented work. In an SP resonance (SPR) setup based on the Otto configuration, we have introduced a novel organic material, 1,4-bis[2-(5-thiophen-2-yl)-1-benzothiophene]-2,5-dioctyloxybenzene (BOBzBT2) and observed experimentally the SC regime at room temperature. We have demonstrated that the behavior of the SC regime can be simulated by placing the dipole sources in the simulation model, imitating the Frenkel excitons. The simulation model has demonstrated a close match with the experimental observation, indicating the applicability and practicality of the presented model.
Effects of Resistance Training with Blood Flow Restriction on Explosive Power of Lower Limbs: A Systematic Review and Meta-Analysis

The purpose of this systematic review and meta-analysis was to compare changes in explosive power between blood flow restriction training and traditional resistance training protocols. Searches of PubMed, Scopus, Web of Science, and OVID Medline were conducted for studies. Inclusion criteria were: (a) healthy people; (b) randomized controlled or controlled trials; (c) outcome measures of explosive performance (peak power, rate of force development, jump performance, sprint performance, etc.); (d) involving a comparison between blood flow restriction training and traditional resistance training. Quality assessment was conducted using the Physiotherapy Evidence Database (PEDro) scale. A total of 12 studies (262 subjects) were finally included for analysis. The PEDro scale score had a median of 5 of 10 points (range: 3–6 points). Significant small to moderate improvements were observed in blood flow restriction training [jump: standard mean difference (SMD) of 0.36 (95% CI: 0.02; 0.69); sprint: SMD of 0.54 (95% CI: 0.00; 1.07); power: SMD of 0.72 (95% CI: 0.17; 1.27)] when compared to traditional resistance training. The findings indicate that blood flow restriction training is more effective in improving explosive power of lower limbs compared to traditional resistance training in healthy people. In addition, blood flow restriction with a wide cuff (≥ 10 cm) during training improved explosive power better than with a narrow cuff or during the rest interval. Blood flow restriction training is very suitable for athletes in short competitive seasons and those who are not able to tolerate high loads (i.e., rehabilitators and the elderly).
Atmospheric Science: An Introductory Survey

John M Wallace and Peter V Hobbs London: Academic 1977 pp xvii + 467 price £12.80 This is a comprehensive textbook for undergraduate courses in atmospheric physics. It contains general physical meteorology (atmospheric hydrostatics, cloud physics, radioactive transfer and thermodynamics), some selected topics of special interest (aerosol physics, aeronomy and physical climatology) and dynamic meteorology describing and interpreting large scale atmospheric motions.
MEDICINAL PLANTS USED AGAINST GASTROINTESTINAL DISORDERS IN SETIFIAN HIGH PLATEAU, ALGERIA

An ethnobotanical survey of plants used for the treatment of gastrointestinal disorders was carried out in the region of Setifian High Plateau, Algeria. Information on the names of plants, used parts and methods of preparation was obtained from traditional medical practitioners, herbalist, hawkers in traditional medicines and rural dwellers, using semi-structured questionnaire. In studied region 50 plants belonging to 29 families ( Table 1 ) were found to be used against gastrointestinal ailments. Most dominant family used against gastrointestinal complaints was Lamiaceae (8 plants) followed by Apiaceae (7 plants) and Myrtaceae, Asteraceae, Poaceae and Fabaceae (3 plants each). The rest are represented by one plant each (23 families). Among all parts of a plant, medicinal property is mainly found in the leaves (36%), followed by seeds (22%), aerial parts (14), fruits (12%), roots (6%), flowers 6%) and bulbs (4%). Also, it was determined that gastrointestinal system ailments for which the folk medicinal plants are mostly used, are as follows: constipation, diarrhea, gastritis and ulcer, intestinal winds, nausea, gastralgia and indigestion. Most of the herbal recipes were taken orally in decoction or infusion form with water, salt, and sugar. This study showed that plants are actively used for the treatment of gastrointestinal disorders in the region of Setif, Algeria.
U . S . Risk and Treasury Convenience ∗ — — — — — — — — — — — — — — — — — — — — — — — — — — — — –

We document that, over the past two decades, investors’ assessment of U.S. risk has risen relative to other G.7 economies, driven by expectations of greater long-run (permanent) risk. Analytically, we develop a two-country no-arbitrage framework with a rich maturity structure of bonds and convenience yields, alongside equities, which links carry-trade returns, cross-border convenience yields and relative country risk across maturities. Informed by our model, we construct novel empirical measures of country risk from bond and equity premia that adjust for within-country convenience yields. Taking theory to the data, we find that a perceived increase in U.S. permanent risk is associated with a fall in the convenience yield that Foreign investors attach to long-maturity U.S. Treasuries. Overall, our results suggest that the rise of U.S. risk and fall in long-maturity U.S. Treasuries convenience yields are two sides of the same coin.
Innovative leadership and its influence on the creative behavior of academic leaders in Jordanian universities

The study identifies innovative leadership and its influence on the creative behavior of the communityacademic leaders in Jordanian universities. It uses the descriptive analytical approach. The nature of the community work is the following leadership positions: Vice President, Dean of Faculty, Vice Dean, and Head of Department, which numbered (1131) academic leaders, and consisted of (399) academic leaders. The study showed a statistically significant effect of innovative leadership in the creative behavior of academic leaders in Jordanian public universities with no such differences in the responses of the sample members in the level of innovative leadership and creative behavior attributed to gender variables, college specialization, academic rank and nature of work. Further, the responses are statistically differentin the creative behavior because ofthe nature of the work and in favor of the assistant dean. In this work, * indicates statistical significance at the significance level (α≤0.05) and ** is statisti cal significance at significance level (α≤0.01).
Genetic parameters, correlations and trends of reproductive traits in Holstein cattle from Mexico

: The objective was to calculate the parameters, correlations and describe the genetic trends of reproductive traits in Holstein cattle from Mexico in three different periods of time, in females born between 2006 and 2019, using records of the Mexican Holstein association. The reproductive parameters calculated were: calving to first insemination interval (CFI), number of services per conception (NSC), days open (DO), interval between calving (IBC),
THE EFFECT OF GRATITUDE AND ACADEMIC SELF EFFICACY ON STUDENTS’ ACADEMIC ENGAGEMENT

Engagement plays an important role in academic success and in the world of work; it is a hallmark of an optimal learning experience (Bilge, Tuzkol, Dots & Cetin, 2014). Engaged students usually do well in their studies (Kuh, Kinzie, Buckley, Bridges, & Hayek, 2007; Salanova, Schaufeli, Martinez, & Breso, 2010). Therefore, academic engagement is needed for students, so that the objectives of the academic process activities can be achieved effectively and efficiently. This study aimed to determine the effect of gratitude, academic self-efficacy, on academic engagement. The sample in this study was students of the Faculty of Psychology, State Islamic University Raden Fatah Palembang with a total population of 968 students. The sample in this study amounted to 155 students of the psychology faculty. The sampling technique in this study used a non probability sampling technique, which means that not all students have the same opportunity to be used as research samples. Data analysis was carried out by linear regression analysis at a significance level of 0.005, using the SPSS.20 application. The results showed that there was a significant effect of gratitude, academic self-efficacy on academic engagement (R2 = 29.4%). The results of the hypothesis test showed that gratitude and academic self-efficacy had a significant effect on academic engagement.
The Influence of Tax Practices on the Probability of Financial Distress among B3 Non-Financial Companies

Objective : this study aimed to verify whether engaging in tax practices influences the probability of financial distress. Method : financial information from 2010 to 2020 of non-financial companies listed on B3 was collected from the Refinitiv Thomson Reuters database. This information was used to measure financial distress (i.e., when earnings before interest and taxes, depreciation, and amortization (EBITDA) are lower than financial expenses, besides a drop in the company’s market value in two consecutive periods) and tax practices using the following proxies: Generally Accepted Accounting Principles, Effective Tax Rate (GAAP ETR), Book-Tax Differences (BTD), CURRENT ETR, and Deferred ETR (DIF ETR). The relationship between the companies’ financial distress and tax practices was obtained using logistic regression. Results : the variable Generally Accepted Accounting Principles, Effective Tax Rate (GAAP ETR) was found to positively and significantly influence the response variable, while Book-Tax Differences (BTD) and Deferred ETR (DIF ETR) negatively and significantly affect the likelihood of financial distress to occur, suggesting that the fewer tax reducing activities a company performs, the higher the probability of it to face financial distress.
Welfare Impacts of Subscriptions for Digital Goods: The Case of Video Games

Offering content via bundle-based subscription services has become a prevalent business strategy for media platforms. Despite its popularity, there is limited empirical evidence on whether the subscription model can generate better outcomes for customers and content providers than the traditional à la carte sales model. We answer this question using a novel proprietary dataset from the Xbox video game platform. We develop and estimate a model of demand and supply for individual games and the subscription service Game Pass. We find consumer surplus increases by 16% when Game Pass is introduced. The decomposition analysis shows that the bundling and renting features of the subscription service contribute almost equally to the surplus change. We further simulate subscription-only models that are widely used by streaming video and music platforms. We find that if the Xbox platform only offers one subscription bundle, consumer surplus is lower than its level under the traditional à la carte sales model, but it can be increased if the platform offers multiple tiers of subscription bundles. Based on our assumptions on the contract structures, we find content providers are better off with the subscription-only model when the platform shares greater than 70% of the subscription revenue with them. Lu: Stanford University, hhlu@stanford.edu. LaRiviere: University of Washington, jlarivi1@uw.edu. Lu would like to thank Brad Larsen, Ali Yurukoglu, Liran Einav, and Harikesh Nair for their invaluable mentorship and advice. We thank Luis Armona, Lanier Benkard, Shengmao Cao, Camilo Castillo, Jose Ignacio Cuesta, Matthew Gentzkow, Wesley Hartmann, Yewon Kim, James Lattin, Caio Waisman, Chuan Yu, Anthony Lee Zhang, and the seminar participants at the Stanford IO workshop, Stanford GSB Quant Marketing workshop, and Microsoft Research workshop for valuable comments. We thank Microsoft for the data support that made this project possible. Lu acknowledges financial support from Stanford Institute for Economic Policy Research (SIEPR). Any opinions and findings in this paper are those of the authors and do not reflect the views of Microsoft or SIEPR. All errors are our own.
THE PREVALENCE OF INTEGRON CLASS I AND II AMONG MULTI-DRUG RESISTANCE PRODUCING KLEBSIELLA pneumonia

This study aimed to determine antibiotic resistance profiles and the distribution of Integron I, Integron II, and genes among uropathogenic Klebsiella pneumonia e isolated from patients suffering from urinary tract infection. The results revealed that one hundred and thirty-seven (91%) out of 150 clinical specimens were Klebsiella pneumonia e. The isolates (137 isolates) were given a higher percentage of resistance against Piperacillin (94.89%)and Rifampicin (93.43%) and the lowest resistance was with Meropenem (40.87%). According to PCR amplification for 15 isolates showed the proportion of class I ( intl1 ) and class II ( intl2 ) integrons were investigated. What are 100% (n=15) and 45% (n=7) of isolates had intl1 and intl2 genes, respectively. PCR products for (Five)isolates were subjected to direct sequencing, and both strands of PCR products were sequenced with an automatic sequencer. These sequences were analyzed for the presence of variance of these genes and the detection of the differences in the nucleotides
STANDARDIZATION AND EVALUATION OF QUALITY OF THE JACKFRUIT PULP INCORPORATED ICE CREAM

Jackfruit (Artocarpus heterophyllus Lam.) is one of the most underutilised fruit containing high amounts of vitamins, minerals, phytochemicals, proteins, carbohydrates and other nutrients. During the flush season, jackfruit is inexpensive and readily available in large quantities.An infinite number of raw fruits are wasted each year, as the fruit is perishable and there are only few value addedproducts.Ice cream is one of the most popular dairy products that is enjoyed by people of all ages. The experiment was conducted at the Department of Community Science, College of Agriculture, Kerala Agricultural University, Vellanikkara, Kerala in the year 2022.The organoleptic evaluation of the standardised ice creams was conducted in order to select the best treatment. The revealed that the selectedice cream had incorporation of 10 percent jackfruit pulp securing the highest mean score in terms of parameters like appearance (8.89), taste (8.82) and overall acceptability (8.81). These scores were significant when statistically evaluated using Kendall’s Coefficient of Concordance. The selected ice cream was subjected to physico-chemical analysisusing standard procedures along with control. The jackfruit incorporated ice cream is a nutritious delicacy with novel taste.
Scalable geometric Markov chain Monte Carlo

Markov chain Monte Carlo (MCMC) is one of the most popular statistical inference methods in machine learning. Recent work shows that a significant improvement of the statistical efficiency of MCMC on complex distributions can be achieved by exploiting geometric properties of the target distribution. This is known as geometric MCMC. However, many such methods, like Riemannian manifold Hamiltonian Monte Carlo (RMHMC), are computationally challenging to scale up to high dimensional distributions. The primary goal of this thesis is to develop novel geometric MCMC methods applicable to large-scale problems. To overcome the computational bottleneck of computing second order derivatives in geometric MCMC, I propose an adaptive MCMC algorithm using an efficient approximation based on Limited memory BFGS. I also propose a simplified variant of RMHMC that is able to work effectively on larger scale than the previous methods. Finally, I address an important limitation of geometric MCMC, namely that is only available for continuous distributions. I investigate a relaxation of discrete variables to continuous variables that allows us to apply the geometric methods. This is a new direction of MCMC research which is of potential interest to many applications. The effectiveness of the proposed methods is demonstrated on a wide range of popular models, including generalised linear models, conditional random fields (CRFs), hierarchical models and Boltzmann machines.