Miracle-dz/UniFAR-FTUs huggingface dataset:
A review of horses as a source of spreading livestock-associated methicillin-resistant Staphylococcus aureus to human health

Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) was first discovered in horses in 1989. Since then, LA-MRSA has begun to be considered an important strain of pathogenic bacteria in horses, which can cause LA-MRSA infection and colonization in humans with public health impacts. The anterior nares are the primary site of LA-MRSA colonization in horses, although LA-MRSA colonization may also occur in the gastrointestinal tract in horses. LA-MRSA-infected horses typically exhibit clinical infection or may not exhibit clinical infection. There are two potential risks associated with LA-MRSA colonization in horses: The possibility of disease development in horses infected with LA-MRSA and the possibility of LA-MRSA transfer to humans and other horses. The diagnosis of LA-MRSA in horses can be made by conducting in vitro sensitivity testing for oxacillin and cefoxitin, and then followed by a molecular test using polymerase chain reaction. LA-MRSA transmission in animal hospitals and on farms is most likely due to contact with horses infected or colonized by LA-MRSA. The history of prior antibiotic administration, history of prior LA-MRSA colonization, and length of equine hospitalization were described as risk factors in cases of infection and colonization of LA-MRSA in horses. Nebulized antibiotics may be a viable alternative to use in horses, but nebulized antibiotics are only used in horses that are persistently colonized with LA-MRSA. Controlling the spread of LA-MRSA in horses can be done by regularly washing horses, eradicating vectors in horse stalls such as rats, and maintaining the cleanliness of the stable and animal hospital environment. Meanwhile, cleaning hands, using gloves, and donning protective clothes are ways that humans can prevent the transmission of LA-MRSA when handling horses. This review will explain the definition of LA-MRSA in general, LA-MRSA in horses, the epidemiology of LA-MRSA in horses, the diagnosis of LA-MRSA in horses, the transmission of LA-MRSA in horses, risk factors for spreading LA-MRSA in horses, public health impact, treatment of LA-MRSA infection in horses, and control of the spread of LA-MRSA in horses.
Surgical treatment of lower extremity lymphedema with subcutaneous implantation of silicone tubing

A 65-year-male patient was admitted to our clinic with swollen, painful, and wound discharge of lower extremity. There was widespread edema, skin infection, and lymphangitis secondary Stage 3 lymphedema below the knee. In addition to conventional treatment methods, lymphatic artificial pathway creation was used with subcutaneous implantation of silicone tubing. In conclusion, subcutaneous implantation of silicone tubing is a new technique that can be applied in advanced stage lymphedema patients, which increases the effectiveness of compression therapy.
An Electrolytic Capacitorless Modular Three-Phase AC–DC LED Driver Based on Summing the Light Output of Each Phase

The proposal of this paper is a modular three-phase ac–dc light-emitting diode (LED) driver for high-power luminaires based on LEDs that uses each phase to control an independent LED load removing in the process both the electrolytic capacitor and the second stage to increase both the lifetime and the efficiency. The driving of each LED load is done by means of a dc–dc converter operating as a loss-free resistor responsible for controlling the current across it. Furthermore, each dc–dc converter needs to achieve power factor correction (PFC) to comply with the restrictive IEC 61000-3-2 class C requirements, hence, achieving unity power factor and low total harmonic distortion. Taking advantage of the light properties, the output of the LED driver will be the sum of the light of each of the phases. Therefore, a theoretical study will be carried out to observe the feasibility of removing the electrolytic capacitor while guaranteeing a flicker-free behavior of the LED luminaire, even if the current of each string is pulsating at twice the mains frequency. This particular performance under high output current and voltage ripples requires reevaluating the well-known limits between the conduction modes in PFC converters. In addition, the theoretical analysis also discusses and proposes control methods for the LED driver, which thanks to its modularity can easily scale in power to drive high-power luminaires. In order to validate the theoretical analysis, a prototype has been built comprised three PFC boost converters disposing of their electrolytic capacitors. The designed prototype operates in the full range of the European three-phase line voltage, which varies between 380 and 420 V, and supplies an output light of 42.000 lm at a maximum power of 300 W while achieving an electrical efficiency of 97.5%.
Seeking Spoilage: The Impact of Content Challenge, Self-Control, and Traits on Spoiler Selection

ABSTRACT Two experiments examined whether perceived content challenge, self-control, and trait variables predicted participants’ choice of a spoiled/unspoiled movie review. Study 1 found that perceived content challenge influenced spoiler selection as a function of need for cognition. Self-control had no effect. In Study 2, participants chose spoilers when content was perceived to be cognitively challenging but not affectively challenging. Need for affect moderated these effects. Choosing spoiler-laden reviews was also associated with reduced anticipated enjoyment and intention to watch the full film. The results point to the importance of trait and content variables in spoiler selection.
A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks

The recent COVID-19 (novel coronavirus disease) pandemic induced a deep polarization among regional as well as global communities. The sentiments regarding the pandemic and its impact on lifestyle and economy, often expressed via social networks, are regarded as critical metrics for capturing such polarization and formulating appropriate intervention by the relevant authorities. While there exist a myriad of Natural Language Processing (NLP) models for mining social media data, we demonstrate the shortcomings of the individual models in this paper, and explore how to improve the COVID-19 sentiment analysis in social media network data via two hybrid predictive models based on a Long-Short-Term-Memory (LSTM)-based autoencoder and a Convolutional Neural Network (CNN) model coupled with a bi-directional LSTM. Through extensive experiments on the recently acquired Twitter dataset, we compare the COVID-19 sentiments exhibited in the USA and Canada using our proposed hybrid predictive models and demonstrate their superiority over individual Artificial Intelligence (AI) models.
Reaction of O + , CO + , and CH + Ions with Atomic Hydrogen

Rate coefficients for reactions of the ions ${\mathrm{O}}^{+}$, C${\mathrm{O}}^{+}$, and C${\mathrm{H}}^{+}$ with atomic hydrogen have been measured for the first time at 300 K. This provides basic data for the ion chemistry of planetary atmospheres, cometary atmospheres, and interstellar molecular clouds. The ${\mathrm{O}}^{+}$+H measurement supports quantal calculations of this reaction. The C${\mathrm{O}}^{+}$+H reaction provides an example of partial spin nonconservation in a charge-transfer reaction occurring in a deep potential well. Reactions of the same ions with ${\mathrm{H}}_{2}$ that have been measured elsewhere are also reported.
Drying Kinetics and Chemical Properties of Mango

Four mango fruit varieties of average slice thickness 0.6 cm and slice area 10 cm2 were dried using a mechanical dryer at varied temperatures, 55°C, 65°C, and 75°C. In general, the moisture content (MC) for all samples analyzed decreased with increasing drying time. Palmer and Haden varieties recorded the lowest MCs of 8.7% (w.b.) and 9.3% (w.b.), respectively, when dried for 14 h at 65°C. Palmer variety with the highest initial MC of 87.2% (w.b.) recorded a low final MC of 8.7% (w.b.) when dried for 14 h at 55°C. Moisture ratio decreased from 1.00 to 0.13, 1.00 to 0.12, 1.00 to 0.12, and 1.00 to 0.10 at 55°C for Kent, Keitt, Haden, and Palmer varieties, respectively. Kent, Keitt, Haden, and Palmer varieties recorded effective moisture diffusivity values of 5.90 × 10–7, 6.40 × 10−7, 6.57 × 10−7, and 7.33 × 10−7 m2/s, respectively. Vitamin C content of 158.34 mg/100 g recorded for Palmer was highest compared to the other varieties. Activation energy values of samples analyzed were between 19.90 and 25.50 kJ/mol for the drying temperature range. The activation energy recorded by Haden variety was highest compared to the rest. Also, twelve mathematical models were analyzed in predicting the moisture ratio of mango fruit slices during thin layer drying. The results showed that the Midilli, Page, Wang and Singh, and Logarithmic models exhibited supremacy in predicting drying behavior compared to the other eight models.
Existence of solutions and asymptotic analysis of a class of singularly perturbed ODEs with boundary conditions

We study the existence of solutions of a class of singularly perturbed BVPs ey′′ + 2y′ + f(y) = 0, y(0) = 0, y(A) = 0 for some A > 0 and f > 0. Given an f satisfying certain conditions, we will show that for each e > 0, there exists A(e) such that, if 0 1 for e > 0 sufficiently small. Both solutions have the same outer solution on (0, 1], but have different boundary behavior near x = 0. One of them is bounded, the other unbounded as e → 0. A uniform expansion for the smaller solution has been obtained from matched asymptotic expansions. We prove rigorously that these asymptotics are correct up to O(e). We also prove that for a class of functions, lim e→0 A(e) = 2 ∫∞ 0 dy/f(y).
UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning

Federated learning (FL) has found numerous applications in wireless and mobile networks thanks to its distinctive features. However, efficient FL networks require to address the energy limitation of FL users. Exploited the flexible deployment and agile mobility of unmanned aerial vehicles (UAVs), this work proposes to dispatch the UAV with edge computing capabilities as an aerial energy source to wirelessly power FL users and as an aerial server for model aggregation. In this regard, we investigate a resource allocation problem that minimizes the energy consumption of FL users and the aerial server. To resolve the nonconvexity of the formulated problem, we propose to decompose the entire set of variables into three blocks, and then develop an iterative algorithm. Simulations results are presented to show that our proposed algorithm significantly outperforms several benchmarks.
Reduction of Deep Dielectric Charging of Polyimide by Incorporation of Glass Microsphere or Glass Fiber Reinforcement

In outer space’s extreme electron radiation environment, the insulating medium will experience a deep dielectric charging effect. As an excellent insulating medium, polyimide is widely used in spacecraft. In practical use, glass microspheres and glass fibers are often added to increase its mechanical strength. However, the influence of glass microspheres and glass fibers on deep dielectric charging effects has often been ignored in previous studies. Therefore, the work in this article established a 3-D deep dielectric charging model of glass microsphere and glass fiber reinforced polyimide. Using the model, the effects of glass microsphere and glass fiber volume fraction, glass microsphere spacing, glass fiber orientation, and 3-D glass fiber structure were investigated. The results show that the larger the volume fraction of glass fiber or glass microsphere, the more obvious the decrease of polyimide composite media’s average electric field strength. Under the same volume fraction, glass fibers are more favorable to reduce the average electric field strength than glass microspheres. The surface of glass microspheres will form charge accumulation, increasing local maximum electric field intensity, which is greater than the maximum electric field value of pure polyimide under electron radiation. When the spacing of glass microspheres decreases, the degree of electric field distortion increases, but the electric field value decreases when the microspheres contact each other. When the glass fiber orientation is perpendicular to the ground plane, it can better provide the electronic release channel, thereby reducing the deep dielectric charging effect. Using 3-D glass fiber structures can reduce the polyimide’s average electric field value and reduce the maximum local electric field distortion.
Beta-Sitosterol Facilitates GLUT4 Vesicle Fusion on the Plasma Membrane via the Activation of Rab/IRAP/Munc 18 Signaling Pathways in Diabetic Gastrocnemius Muscle of Adult Male Rats

Nutritional overload in the form of high-fat and nonglycolysis sugar intake contributes towards the accelerated creation of reactive oxygen species (ROS), hyperglycemia, and dyslipidemia. Glucose absorption and its subsequent oxidation processes in fat and muscle tissues alter as a consequence of these modifications. Insulin resistance (IR) caused glucose transporter 4 (GLUT4) translocation to encounter a challenge that manifested itself as changes in glycolytic pathways and insulin signaling. We previously found that beta (β)-sitosterol reduces IR in fat tissue via IRS-1/PI3K/Akt facilitated signaling due to its hypolipidemic and hypoglycemic activity. The intention of this research was to see whether the phytosterol β-sitosterol can aid in the translocation of GLUT4 in rats fed on high-fat diet (HFD) and sucrose by promoting Rab/IRAP/Munc 18 signaling molecules. The rats were labeled into four groups, namely control rats, HFD and sucrose-induced diabetic control rats, HFD and sucrose-induced diabetic rats given oral dose of 20 mg/kg body wt. /day of β-sitosterol treatment for 30 days, and HFD and sucrose-induced diabetic animals given oral administration of 50 mg/kg body wt. /day metformin for 30 days. Diabetic rats administered with β-sitosterol and normalized the titers of blood glucose, serum insulin, serum testosterone, and the status of insulin tolerance and oral glucose tolerance. In comparison with the control group, β-sitosterol effectively regulated both glycolytic and gluconeogenesis enzymes. Furthermore, qRT-PCR analysis of the mRNA levels of key regulatory genes such as SNAP23, VAMP-2, syntaxin-4, IRAP, vimentin, and SPARC revealed that β-sitosterol significantly regulated the mRNA levels of the above genes in diabetic gastrocnemius muscle. Protein expression analysis of Rab10, IRAP, vimentin, and GLUT4 demonstrated that β-sitosterol had a positive effect on these proteins, resulting in effective GLUT4 translocation in skeletal muscle. According to the findings, β-sitosterol reduced HFD and sucrose-induced IR and augmented GLUT4 translocation in gastrocnemius muscle through insulin signaling modulation via Rab/IRAP/Munc 18 and glucose metabolic enzymes. The present work is the first of its kind to show that β-sitosterol facilitates GLUT4 vesicle fusion on the plasma membrane via Rab/IRAP/Munc 18 signaling molecules in gastrocnemius muscle.
Channel Estimation for Massive MIMO in the Presence of Cauchy Noise

In this paper, we work on channel estimation techniques for massive multiple-input multiple-output (MIMO) with Cauchy noise. In the standard massive MIMO setup, the users transmit orthonormal pilots during the training phase and the received signal in the base station is projected onto each orthonormal pilot signal. This process is optimum when the noise is Gaussian. In other words, the obtained signal after this process is the sufficient statistic and we do not lose any information. We show that this process is not optimum when the noise is Cauchy. Hence, we propose a channel estimation technique for the unprocessed received signal. The proposed channel estimation technique is compared with the channel estimates that are obtained from the projected signal.
Comparative Floral Fertility in Heat Tolerant and Heat Sensitive Tomatoes1

The heat tolerant tomatoes (Lycopersicon esculentum Mill.) breeding line AU 165 and ‘Nagcarlang’ were compared with the heat sensitive ‘Floradel’ in fruit set, pollen abortion, and embryo sac abortion. The 2 heat tolerant cultivars had a significantly higher percentage fruit set under both moderate and high temperature in spring and summer than did ‘Floradel’, but fruit set of all 3 cultivars was significantly lower at high temperature. The fruit set of all 3 cultivars was markedly improved by hand pollination, indicating that insufficient pollination probably was a major cause of heat sterility at high temperature. Both pollen and embryo sac abortion were minor factors in the reduced fruit set observed. Heat tolerance in the cross AU 165 × ‘Floradel’ appeared to be partially dominant.
A Statistical Tool for Time Synchronization Problem in WSN

In recent research, time synchronization has a great importance in the various application of wireless sensor network. Localization, tracking, message passing using contention-based schemes and communication are some of the fields where synchronization between sensor clocks is highly required. Therefore, several algorithms were designed to achieve a rational and reliable frame of time within the wireless sensor network. Patents related to time synchronization in WSN were also analyzed. This paper discusses the powerful statistical tool using maximum probability theory for synchronizing the time within the sensor's clock. In this paper, maximum probability theory is applied to estimate the best value of clock offset between two sensor clocks. The proposed algorithm is analyzed by exchanging timing messages between nodes using two-way message exchange schemes. The proposed algorithm is also implemented along with a Time-Sync Protocol for Sensor Network. It reduces error deviation from 2.32 to 0.064 ms as compared with Time-Sync Protocol for Sensor Network without proposed works. It was observed that for a small network, proposed work gives better and efficient results with Time-Sync Protocol for Sensor Network.
Iron Loss Calculation Based on Loss Surface Hysteresis Model and Its Verification

Over the years, iron loss evaluation is still a tough issue. A lot of iron loss models have been developed, and most of them are based on the loss separation model. Another alternative is to calculate the iron loss from the hysteresis loop. One benefit of hysteresis models is that the iron loss can be directly obtained if the B-H hysteresis loops are known. This paper introduces an iron loss estimation method based on the loss surface (LS) hysteresis model and finite element analysis. The proposed method has been applied for iron loss evaluation on different topology specimens. Different excitations with harmonics are investigated. The calculated iron loss is compared with the measured one, which verified the modeling accuracy of the proposed method. The developed LS hysteresis model is applied to calculate the iron loss of an interior permanent magnet synchronous motor. From the evaluation of results, it is shown that the proposed iron loss method can be applied in electromagnetic mechanisms.
A Hybrid VLC/RF Cell-Free Massive MIMO System

Achieving high data rate is always a goal that could be met by developing new technologies and investigating potential ones. Recently, the concept of cell-free massive MIMO systems (CF-mMIMO) has been considered to enhance the performance of systems that operate merely with Radio Frequency (RF) or visible light communication (VLC) technologies. In this paper, a hybrid VLC/RF cell-free massive MIMO system is proposed where an RF cell-free network is used to support a VLC cell-free network. The idea is to utilize the benefits of each network and balance the load aiming at maximizing the system’s sum-rate. The system is evaluated using zero-forcing (ZF) precoding scheme. A user association algorithm is proposed to assign users to either VLC or RF networks. Results show that the proposed algorithm outperforms a random network association of users. Results also show great potential for the proposed system compared to standalone cell-free networks.
Towards a technique for articulating aesthetic experiences in design using Focusing and the Felt Sense

Abstract Aesthetic experiences embody a sense of unity that makes their particular qualities memorable to our existence. The richness of meaning encapsulated by routine acts on the other hand, is mostly taken for granted. We introduce the somatic Focusing technique to access the tacit dimension of people’s personal stories, offering a new perspective on experiential content for design use. This technique facilitates extracting aesthetic meaning from unremarkable experiences, by prompting participants to ponder situations through their bodily felt-sensing. Focusing has proven effective to scaffold the emergence of self-discoveries or insights, being revealed directly by those who experience the technique.
Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks

In this paper, we apply reconfigurable intelligent surface (RIS) technique to aid the computation offloading of mobile edge computing (MEC) network and investigate how it can be exploited to reduce computation offloading delay. In order to minimize the long-term computation offloading delay, we formulate an optimization problem, which jointly optimizes the power control, computation offloading volume, the edge computing resource assigned to each user equipment (UE), as well as the RIS phase shift. To tackle this problem, we first convert it into a Markov decision process (MDP), then propose an efficient algorithm based on deep reinforcement learning (DRL), namely deep deterministic policy gradient (DDPG). Numerical results demonstrate that 1) compared to the MEC network without RIS, the RIS aid MEC network can achieve lower delay; 2) the proposed DDPG-based scheme can learn from the RIS aided environment to effectively reduce the computation offloading delay.
Informality versus shadow economy: reflecting on the first results of a manager’s survey in Kyrgyzstan

ABSTRACT This article is the first attempt to apply Putnis and Sauka's approach to direct measurement of the shadow economy through a survey of company managers in Central Asia. The results of the survey are used to calculate a shadow economy index for 2017 and 2018 in Kyrgyzstan, and to discuss the difference between direct and indirect methods in calculating the size of a shadow economy. We also propose a distinction between shadow economies and informality in general. While a shadow economy is usually understood to arise as a consequence of underreporting of income, we argue that informality is best understood as the aggregate of non-monetary and non-economic practices used in society. Applying this distinction to our case, we suggest that the origins of Kyrgyzstan's shadow economy are not only economic; rather social and cultural processes have had significant effects. This has implications for policy responses that address shadow economic activities.