Miracle-dz/UniFAR-FTUs huggingface dataset:
Aerosol Atmospheric Rivers: Climatology, Event Characteristics, and Detection Algorithm Sensitivities

Abstract. Leveraging the concept of atmospheric rivers (ARs), a detection technique based on a widely utilized global algorithm to detect ARs (Guan et al., 2018; Guan and Waliser, 2015, 2019) was recently developed to detect aerosol atmospheric rivers (AARs) using the Modern-Era Retrospective analysis for Research and Applications, Version 2 reanalysis (Chakraborty et al., 2021a). The current study further characterizes and quantifies various details of AARs that were not provided in that study, such as AARs’ seasonality, event characteristics, vertical profiles of aerosol mass mixing ratio and wind speed, and the fraction of total annual aerosol transport conducted by AARs. Analysis is also performed to quantify the sensitivity of AAR detection to the criteria and thresholds used by the algorithm. AARs occur more frequently over, and typically extend from, regions with higher aerosol emission. For a number of planetary-scale pathways that exhibit large climatological aerosol transport, AARs contribute 40–80 % to the total annual transport. DU AARs are more frequent in boreal spring, SS AARs are often more frequent during the boreal winter (summer) in the Northern (Southern) Hemisphere, CA AARs are more frequent during dry seasons and often originate from the global rainforests and industrial areas, and SU AARs are present in the Northern Hemisphere during all seasons. For most aerosol types, the mass mixing ratio within AARs is highest near the surface and decreases monotonically with altitude. However, DU and CA AARs over or near the African continent exhibit peaks in their aerosol mixing ratio profiles around 700 hPa. AAR event characteristics are mostly independent of species with mean length, width, and length/width ratio around 4000 km, 600 km, and 8, respectively.
DEVELOPMENT WITH CHARACTERISTICS AND INNOVATION – CONFUCIUS INSTITUTE AT LBUS

The research is on how to manage language teaching and culture promotion effectively through building explicit characteristics and seeking for innovative development of the program for the purpose of mutual understanding and common prosperity, taking Confucius Institute of Lucian Blaga University of Sibiu (LBUS) as an example. A brief introduction of the overall development of Chinese teaching program in the world and specifically in Romania will be conducted in the first part of the thesis. And then, characteristics of C.I. at LBUS in teaching and culture promotion will be discussed with detailed elaboration and progresses especially in the past five years. In the third part, some innovative ideas to accelerate the development of management will be proposed for more practical purpose. The conclusion provokes further research in managing language teaching and culture promotion overseas.
The Beneficial Effects of Pomegranate Juice on Immunity and Intestinal Integrity in
Healthy Albino Rats

Pomegranate has long been recognized as a "healing food," with significant health benefits in a variety of disorders. It has potent anti-inflammatory, antioxidant, anti-obesity, and anticancer effects, thus there has been lately a virtual outbreak of interest in the pomegranate as a functional food. Pomegranate may have physiological effects on the intestines, and the gut microbiota plays an essential part in its therapeutic effects. Therefore, we believe that the beneficial effects of pomegranate are intimately tied to the intestine. Hence, we evaluated the immunomodulatory effect and the intestinal health benefits of the administration of pomegranate juice (PJ). Rats received 1 ml of PJ for consecutive 28 days. The present data revealed that PJ administration did not affect the production of TNF-α, INF-γ, and IL-8, but it enhanced the production of IL-4 exerting an anti-inflammatory effect. It increased villus heights and goblet cell numbers. Moreover, it improved mucosal immunity by enhancing the development of germinal center (GC) in the gut-associated lymphoid tissue (GALT) that is related to the production of efficient IgA. Therefore, pomegranate juice can increase mucosal integrity, improve intestinal morphology, which beneficially alters digestion in the small intestine, and enhance mucosal immunity against pathogens.
Nonasymptotic Concentration Rates in Cooperative Learning–Part I: Variational Non-Bayesian Social Learning

In this article, we studied the problem of cooperative inference where a group of agents interacts over a network and seeks to estimate a joint parameter that best explains a set of network-wide observationsusing local information only. Agents do not know the network topology or the observations of other agents. We explore a variational interpretation of the Bayesian posterior and its relation to stochastic mirror descent algorithm to prove that, under appropriate assumptions, the beliefs generated by the proposed algorithm concentrate around the true parameter exponentially fast. In part I of this two-part article series, we focus on providing a variational approach to distributed Bayesian filtering. Moreover, we develop computationally efficient algorithms for observation models in exponential families. We provide a novel nonasymptotic belief concentration analysis for distributednon-Bayesian learning on finite hypothesis sets. This new analysis is the basis for the results presented in Part II. We provide the first nonasymptotic belief concentration rate analysis for distributed non-Bayesian learning over networks on compact hypothesis sets in Part II. In addition, we provide extensive numerical analysis for various distributed inference tasks on networks for observational models in the exponential distribution families.
Development of an allocation method to synthesis of unequally spaced arrays with minimum number of elements and mutual coupling considerations

A method is proposed to synthesize unequally spaced arrays so that it has minimum number of elements. Also, it is shown that the proposed method can reduce the total number of elements of equally spaced arrays. The advantage of the proposed method is that it is very fast and straightforward. In this method, the locations of array elements are calculated by considering the mutual coupling between two adjacent array elements, first. After determining the elements locations, two scenarios may be existed. In the first scenario, conventional least square method is proposed. In the second scenario and to increase the accuracy of the final design, recursive least square estimation algorithm is suggested. Mean square error between the desired and synthesized pattern is considered to measure the performance of the method. Several arrays are examined to check the performance of the proposed method. Since, the matrix pencil method (MPM) method has been widely used in the design of nonuniformly spaced arrays, in all examples, the results of MPM technique are considered in comparison process. The obtained results show that the proposed method has a good performance both in reducing the number of array elements and in the accuracy of the synthesized pattern, especially for arrays with beam‐shaped pattern such as flat‐top and cosecant radiation patterns.
Disulfiram: A Repurposed Drug in Preclinical and Clinical Development for the Treatment of Infectious Diseases.

This article reviews preclinical and clinical studies on the repurposed use of disulfiram (Antabuse) as an antimicrobial agent. Preclinical research covered on the alcohol sobriety aid includes uses as an anti-MRSA agent, a carbapenamase inhibitor, antifungal drug for candidiasis, and treatment for parasitic diseases due to protozoa (e.g., giardiasis, leishmaniasis, malaria) and helminthes (e.g., schistosomiasis, trichuriasis). Past, current, and pending clinical studies on disulfiram as a post-Lyme disease syndrome (PTLDS) therapy, an HIV latency reversal agent, and intervention for COVID-19 infections are also reviewed.
Model Aturan dalam Menentukan Prestasi Nilai Siswa di SMK GKPS 1 Raya Menggunakan Algoritma C4.5

Data nilai siswa merupakan suatu data penting bagi pihak departemen, maupun pada pihak sekolah karena perlu untuk melihat bagaimana perkembangan nilai siswa-siswi di SMK GKPS 1 Raya dikemudian hari. Data nilai siswa pun semakin bertambah bila semakin tahun berganti tahun, dan data tersebut dapat memberi informasi yang berguna bila diolah dengan baik. Maka dari itu, dalam penelitian ini penulis akan memanfaatkan 202 data nilai siswa yang diperoleh dari pihak sekolah SMK GKPS 1 Raya yang dikelola menggunakan data mining untuk mendapatkan suatu informasi klasifikasi perkembangan nilai siswa dan menentukan prestasi siswa. Dalam metode ini, algoritma yang digunakan yaitu algoritma C 4.5 decision tree yang didukung dengan Software RapidMiner, Kriteria yang digunakan adalah seperti NISN, Nama Siswa, Nilai Rata-rata dan Nilai Kehadiran yang di input ke input kedalam Microsoft Excel 2007 dan dilakukan transformasi dari nilai angka ke nilai huruf yang dimana Jika nilai >90 maka nilainya A, 80 – 89 = B, 70 – 79 = C, dan <60 = D. Dengan menggunakan metode ini dapat menjadi salah satu alat untuk dapat membantu pihak sekolah dalam melihat perkembangan nilai siswa, sehingga hasil yang di dapat dalam metode ini dapat menentukan nilai yang berprestasi dan yang tidak berprestasi serta dapat memberikan rekomendasi untuk pihak sekolah semakin memperbaiki sistem pembelajaran yang berlaku untuk kedepannya.
Critical Review of Nanopillar-Based Mechanobactericidal Systems

15 The rise of multidrug resistant bacteria is the biggest threat to human health globally as 16 described by the World Health Organization (WHO). Mechano-bactericidal surfaces provides 17 a sustainable approach to address this concern by eradicating pathogens, especially bacteria, 18 “right-at-the-point” of first contacting the surface. However, the lack of a “design to 19 manufacture” approach due to our limited understanding of the mechano-bactericidal 20 mechanism has impeded engineering optimization to develop scalable exploitation routes in 21 various healthcare applications. It can be argued that the reason, most particularly, is the 22 limitations and uncertainties associated with the current instrumentation and simulation 1 capabilities which has led to several streams of test protocols. This review highlights the current 2 understanding on the mechano-bactericidal mechanisms in light of the contributing factors and 3 various techniques which are used to postulate these mechanisms. The review offers a critique 4 on the variations observed on how nanostructured surfaces found in literature have been 5 evaluated such that the test protocols and the outcomes are incomparable. The review also 6 shows a strong need of developing more accurate models of a bacterium as the currently 7 reported experimental data is insufficient to develop bacteria’s material models (constitutive 8 equations). The review also alludes to the scarcity of direct experimental evidence of the 9 mechano-bactericidal mechanism suggesting a strong need for further in-situ monitoring as a 10 future research direction. 11
Corporate Research and Development Strategy and Stock Price Crash Risk

This paper investigates the effect of research and development activity on stock price crash risk. Using a large sample of 3568 Chinese listed companies for the period 2007-2019, it is found that R&D expenditure in China is negatively associated with stock price crash risk, which suggests that the disclosure of innovation expenditures decreases the risk of dominant stock price fall. The robustness analyses suggest that the association between research and development ratio and crash risk is more pronounced in firms from emerging markets with high leverage, lower return on assets, non-Big 4 auditors, lower institutional shareholdings, and non-stated-owned enterprises. Our findings advance the understanding of research and development activity’s attributes and the benefits of its disclosure in emerging markets.
The impact of credit risk and liquidity risk on bank margins during economic fluctuations: evidence from MENA countries with a dual banking system

ABSTRACT This study investigates the simultaneous impact of the major sources of bank default, namely credit risk and liquidity risk on price-cost margins during economic fluctuations in the MENA countries with a dual banking system. We use an annually balanced data set including 30 conventional banks and 14 Islamic banks from 9 countries covering the period 2004–2020. Our findings highlight the importance of the two risk factors on determining banks’ cost of intermediation. The most interesting result is that their effects on bank margins are sensitive to economic fluctuations. More specifically, both risk factors have more significant effect on price-cost margins during good economic times. One important implication of our findings is that the authorities and policymakers should pay more attention to liquidity and risks during booms.
The Effect of Financial Literacy on Financial Behavior Moderated by Information Access

The purpose of this study was to obtain empirical evidence of the effect of financial literacy on financial behavior moderated by the variable of access to information, in economics faculty students. The phenomenon of this research wanted to detect empirical evidence that students who were wellliterate with the support of access to sufficient information will have good financial behavior. The questionnaire distribution obtained a sample of 42 students of economics. This research used the regression analysis method with moderation. The results of the study indicated that financial literacy had an influence on students' financial behavior which was moderated by information access.
Thermoelectrical properties of graphene knife-coated cellulosic fabrics for defect monitoring in Joule-heated textiles

Knife-coating can confer new properties on different textile substrates efficiently by integrating various compounds into the coating paste. Graphene nanoplatelets (GNP) is one of the most used elements for the functionalization of fabrics in recent years, providing electrical and thermal conductivity to fabrics, later used to develop products such as sensors or heated garments. This paper reports thermoelectrically conductive textiles fabrication through knife-coating of cellulosic fabrics with a GNP load from 0.4 to 2 wt% within an acrylic coating paste. The fabric doped with the highest GNP content reaches a temperature increase of 100°C in few seconds. Besides, it is found out that the thermographic images obtained during the electrical voltage application provide maps of irregularities in the dispersion of conductive particles of the coating and defects produced throughout their useful life. Therefore, the application of a low voltage on the coated fabrics allows fast and effective heating by Joule’s effect, whose thermographic images, in turn, can be used as structural maps to check the quality of the GNP doped coating. The temperature values and the heating rate obtained make these fabrics suitable for heating devices, anti-ice and de-ice systems, and protective equipment, which would be of great interest for industrial applications.
S-Methylcysteine Ameliorates the Intestinal Damage Induced by Eimeria tenella Infection via Targeting Oxidative Stress and Inflammatory Modulators

Avian coccidiosis is one of the major parasitic diseases in the poultry industry. The infection is caused by Eimeria species, and its treatment relies mainly on the administration of anticoccidial drugs, which can result in drug resistance and side effects. The recent trends in avian coccidiosis treatment is directed to the development of a new therapy using herbal compounds. S-Methylcysteine (SMC) is considered one of the organosulfur compounds in garlic that showed promising activity in the treatment of different pathological conditions via a wide range of anti-inflammatory and antioxidant mechanisms. In this study, the anticoccidial activity of SMC was investigated in Eimeria tenella-infected chickens compared to diclazuril as a widely used anticoccidial drug. In this regard, 14-day-old broilers were divided into six groups (n = 18). The first group (G1) was the healthy control group, while the second group (G2) was the non-infected SMC group treated at a dose of 50 mg/kg b.w. (high dose). Moreover, the third group (G3) was the positive control group (infected and non-treated). The fourth group (G4) was the infected group treated with SMC of 25 mg/kg b.w. (low dose), while the fifth group (G5) was the infected group treated with SMC of 50 mg/kg b.w. (high dose). Conversely, the sixth group (G6) was the diclazuril-treated group. The anticoccidial effects of SMC and diclazuril were evaluated by counting oocysts and recording the body weight gain, feed conversion ratio, clinical signs, lesions, and mortality rate. Interestingly, SMC showed potent anticoccidial activity, which was exemplified by reduction of oocyst count. Furthermore, the biochemical, antioxidant, and anti-inflammatory parameters in the cecal tissues were restored toward their control levels in G4, G5, and G6. Histopathological observation of cecal tissues was consistent with the aforementioned results revealing the ameliorative effect of SMC against E. tenella infection. This study concluded novel findings in relation to the anticoccidial role of SMC as a plant-based compound against the E. tenella-induced coccidiosis in broiler chickens combined with its antioxidative and anti-inflammatory properties. Further studies for exploring the mechanistic pathways involved in this activity and the potential benefits from its use in association with conventional anticoccidial drugs are warranted.
Ambient vibration test and numerical simulation for modes of wind turbine towers

Based on the theory of random vibration and system identification,ambient vibration tests of three wind turbine towers in wind-power station of Inner Mongolia Wulanyiligeng were carried out.The method of coupling overall modeling of blade,hub,nacelle and tower was put forward,and the numerical stimulation and tests results showed that the wind turbine towers can effectively avoid resonance,and meet the standard design requirements of Germanischer Lloyd;the vibrational forms of the wind turbine towers mainly are lateral bending vibration,forth-and-back bending vibration and torsional vibration;the translational damping ratio in the first mode is about 1.75%,and the torsional damping ratio in the first mode about 0.6%. The overall modeling showed excellent consistency with the test results,it could benefit wind-induced dynamic response analysis and vibration control analysis of wind turbine tower systems.
Torque Ripple Reduction of PM Brushless DC Motors Based on Auto-disturbances-rejection Controller

Torque ripple reduction of PM brushless DC motors is considered, and a new approach based on auto- disturbances-rejection controller(ADRC) is proposed subsequ- ently. Inheriting the merit of independent of system model and overcoming the shortcomings of classic PID controller, ADRC possesses good performance with relatively simple algorithm. Starting from the characteristics of the PM brushless DC motors and the principles of the design of ADRC, the motor model is transferred into a series-connection object. Then two one-order ADRCs are constructed to carry out closed-loop control. One ADRC, which represents the outer loop, controls the rotor speed and specifies the reference torque for the inner loop; while the other manipulates the torque to minimize torque ripple, which actually improves the waveform of the feeding current. The inner loop of torque sub-system adopts three uniform extended state observers(ESO) to obtain the estimation torque and the real operational value of the torque sub-system. A one-order ADRC with the DC value as the control input, is then configured. The experiment results show that the scheme ensures prominent reduction of torque ripple when the motor is in operation; moreover, the motor produces good dynamic performance, good robustness and adaptability.
Internet News as a Market for News Lemons

This article frames the problem of news dissemination as a problem of the market lemons, analogous to the issue raised by George Akerlof in 1970. Framing news as a mechanism of vetting common knowledge as opposed to entertainment allows one to see that instant common knowledge in the byzantine and uncertain in which humans communicate and live in is unattainable. Given this frame of the problem a potential solution is posited which allows traditional news paper companies to serve and focus on the role of validating news rather than simply creating or capturing it. The most value added service that traditional news organizations can provide is validation of truth and quality assurance.
The Shifting Landscape of Lupus Nephritis Management: A Review

Systemic lupus erythematosus (SLE) is commonly the first autoimmune disease that comes to mind for most people when rheumatology is mentioned. It remains an enigma that many of us, including patients and healthcare providers, do not fully understand. Although an ancient disease, it still remains difficult to both diagnose and treat. Historically, there has always been a paucity of therapeutic interventions for SLE as a whole. One of the most distressing manifestations for the patient and diagnostic and therapeutically challenging aspects of SLE is lupus nephritis (LN). There has historically been some difficultly in the development of LN drugs that provide significant therapeutic benefits while having an acceptable side-effect profile. This difficulty led to decades in which no drugs were approved for LN. With a better understanding of the pathogenesis of SLE and LN and improvement in trial design, great therapeutic strides have recently been made. The immunosuppressive landscape of LN has changed recently with the approval of two newer agents as well as a number of promising trials in LN. With the increased number of therapeutic agents (both immunosuppressive and non-immunosuppressive), the clinical question is how and when to use these medications, and, more importantly, which agents to use first. With the increased number of agents, the answers to these questions are becoming more difficult to answer. The purpose of the paper is to review updates in LN diagnosis and management.