Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthesis and Biological Value of Thiouracils and Fused Thiouracils (A review)

A literature survey revealed that the thiouracil derivatives and their condensed heterocycles have occupied a marked position as synthon for various biologically active compounds. They have a wide range of therapeutic uses that include anti-cancer, anti-microbial, molluscicidal, anti-leishmanial, anti-oxidant, anti-viral as anti-HIV and anti-HCV, and anti-thyroid activities. Numerous methods for the synthesis of thiouracils offer enormous scope in the field of medicinal chemistry. The review article aims to review the work reported for the synthesis and the biological activities of thiouracils and fused thiouracils from the past to recent years.
A Rare Case of Limited Muscle Involvement in Polyarteritis Nodosa

Polyarteritis nodosa (PAN) is a systemic vasculitis that can affect multiple organs in its diffuse form and is associated with high rates of morbidity and mortality. From the standpoint of pathology, PAN is necrotizing arteritis predominantly involving medium and small muscular arteries, without glomerulonephritis or vasculitis in the arterioles, capillaries, or venules (1, 2). PAN has protean manifestations, and it may present as a systemic disease or in its limited form, be confined to a single organ (2). The limited form of PAN is rare and may pose a diagnostic challenge; it can mimic other common diseases, and its nonspecific presentation may lead to confusion or delays in diagnosis. Musculoskeletal system involvement in PAN is known to present as myalgia, arthralgia, polymyositis-like syndrome, asymmetric nondeforming polyarthritis, or rarely, as intermittent claudication, acute leg ischemia, or myopathy (2). Muscular involvement in PAN may occur as a component of systemic PAN or as a limited form. Patients with the limited form of PAN are known to present with pain, swelling, and tenderness of the lower leg (3). Magnetic resonance imaging (MRI) findings of muscular involvement in PAN have been reported in other studies, all in cases with the limited form of PAN (4). Most of the previous studies have reported nonspecific edematous signal changes in the affected muscles with hyper-signal intensities on T2-weighted or fat-saturated sequences (5), which may be found in all clinical mimics such as inflammatory or infectious myositis. Ultrasound is particularly useful in the diagnosis of largeand medium-sized vessel vasculitis, as the characteristic wall thickening of the affected arteries allows for the confirmation of a suspected diagnosis. However, only a few studies have reported ultrasonography findings for the limited form of PAN. Herein, we describe a rare case of PAN involving skeletal muscle as indicated on This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Received: January 16, 2021 Revised: February 22, 2021 Accepted: February 23, 2021
The Effects of Customer Learning and Shopping Value on Intention Purchase and Reuse in a Digital Market: The Institutional Trust–Commitment Perspective

The successes of the digital market depend on customers’ intentions to purchase and reuse products or services. Previous studies have extensively discussed customer shopping value and customer learning, but most studies have analyzed the influencing factor as a single entity and seldom investigated the combination of two factors based on the institutional trust–commitment mechanism. We based this study on the e-commerce institutional trust–commitment mechanism (customers’ trust and commitment calculation) to investigate the influence of customer learning (product and website knowledge) and customer shopping value (monetary value, product evaluation cost, and customer reputation) on customers’ intentions to purchase and reuse products. The data sample included 279 respondents with experience of electronic shopping in Taiwan. The results show that customer learning and customer shopping value positively and significantly influence customers’ trust and customers’ calculation commitment and indirectly influence customers’ intention to purchase and reuse. However, dimensions of customer learning, such as website knowledge, do not affect customers’ trust and commitment but have a partially an indirect relationship with customers’ trust via the influence of product knowledge. In addition, product knowledge has a partially indirect effect on customers’ intention to reuse products or services through the influence of product knowledge and customers’ trust in online vendors in the digital market environment. The findings presented here have important theoretical and practical implications for scholars and digital market providers.
Adaptive power sharing scheme for parallel‐connected hybrid inverters in microgrid

Correspondence Jinsong Kang, Tongji University, Shanghai, China. Email: kjs@tongji.edu. cn Abstract This paper presents an adaptive power sharing control method of parallel-connected hybrid inverters in microgrid. Normally the AC microgrid is composed of hybrid inverters, other power generation equipment and some loads in parallel. Droop control or virtual synchronous generator is usually adopted to control parallel inverters, so the output power ratio between each inverter is fixed by droop parameters. The input of hybrid inverter is PV panel and battery, so the power output ability of each hybrid inverter is different because of the different PV panel capacity, illumination condition, battery capacity and battery state of charge. Hence, the output power of some hybrid inverters is short or redundant sometimes, which makes microgrid unstable or causes power generation restraints. It is necessary to recognize the actual power capacity of each inverter and control the output power reasonably. This paper analyzes the characteristics of parallel-connected hybrid inverters with droop control in microgrid. An adaptive power sharing method is developed to identify the unbalanced between the each inverter on DC bus. By adjusting the droop parameters, the output power of each inverter is regulated where the controlled parameters are defined in system transfer function with an optimal target. Experimental tests are executed following the numerical simulation. The results show that the output power of each inverter can be adjusted adaptively according to the practical needs. The excessive power from one inverter can be absorbed by the others. Therefore, the stability and the power capability in the system are both ensured by adopting the proposed methods. The outcomes of the study provide a reference to the development of the adaptive inverter in microgrid.
Student feedback literacy in L2 disciplinary writing: insights from international graduate students at a UK university

Abstract Although student feedback literacy has drawn increasing attention in higher education, how it is adapted in second language (L2) disciplinary writing discourse is still under-researched. Situated within an MA TESOL programme at a UK university, this paper reports on exploratory qualitative research into the components of student feedback literacy in L2 disciplinary writing. Data were collected through retrospective interviews with five Chinese students, stimulated recall sessions, and their essay drafts with course tutors’ feedback. The qualitative data analysis was initially informed by two broad-stroke dimensions of student feedback literacy, i.e. students’ cognitive and socio-affective readiness to engage with feedback. Within each dimension, specific categories that characterised the student feedback literacy in L2 disciplinary writing were identified, such as subject/disciplinary knowledge, linguistic and pragmatic competence, students’ proactivity and attitudes towards using feedback. These components not only suggest the situated and multi-faceted nature of student feedback literacy, but highlight the necessity for course tutors to: (a) be fully aware of the challenges for international students in engaging with discipline-bounded feedback, and (b) adjust instruction and feedback practice accordingly, to develop these students’ feedback literacy and foster their success in higher education.
A concatenated approach based on transfer learning and PCA for classifying bees and wasps

Convolutional neural networks (CNNs) are a type of deep model that can accomplish image classification tasks resulting in outstanding performances. From recognizing handwritten numbers to tachyarrhythmia, researchers and engineers have used CNNs for classification tasks in various domains. However, there lacks a comparison and analysis of the performances of different models in classifying insects. Previous methods are currently limited to using only one particular type of network in finishing one specific task. This approach fails to use the strengths of different models. In this paper, a concatenated model is developed, which is able to take advantage of the strengths of multiple CNNs. The performances of VGG, ResNet, XceptionNet, and EfficienNet in classifying bees and wasps are firstly compared. Then, outputs of the penultimate layers in the four networks are merged, which is similar to encoding. In addition, we use principal component analysis (PCA) to decrease computation cost and increase explanatory. Finally, to achieve the final classification, a deep neural network (DNN), which takes the concatenated outputs and four labels separately as input data and output, is structured. In comparison to the traditional classification methods, the proposed model achieves high-level performance and better explanation. Furthermore, it is worth remarking that this paper discovers the encoding characteristics of VGG, ResNet, XceptionNet, and EfficientNet.
Dissociative recombination and vibrational excitation of BF+ in low energy electron collisions

The latest molecular data—potential energy curves and Rydberg-valence interactions—characterising the super-excited electronic states of BF are reviewed in order to provide the input for the study of their fragmentation dynamics. Starting from this input, the main paths and mechanisms of BF+ dissociative recombination and vibrational excitation are analysed. Their cross sections are computed for the first time using a method based on the multichannel quantum defect theory (MQDT), and Maxwellian rate-coefficients are calculated and displayed in ready-to-be-used format for low temperature plasma kinetics simulations.
Hot-Wire Laser-Directed Energy Deposition: Process Characteristics and Benefits of Resistive Pre-Heating of the Feedstock Wire

This study investigates the influence of resistive pre-heating of the feedstock wire (here called hot-wire) on the stability of laser-directed energy deposition of Duplex stainless steel. Data acquired online during depositions as well as metallographic investigations revealed the process characteristic and its stability window. The online data, such as electrical signals in the pre-heating circuit and images captured from side-view of the process interaction zone gave insight on the metal transfer between the molten wire and the melt pool. The results show that the characteristics of the process, like laser-wire and wire-melt pool interaction, vary depending on the level of the wire pre-heating. In addition, application of two independent energy sources, laser beam and electrical power, allows fine-tuning of the heat input and increases penetration depth, with little influence on the height and width of the beads. This allows for better process stability as well as elimination of lack of fusion defects. Electrical signals measured in the hot-wire circuit indicate the process stability such that the resistive pre-heating can be used for in-process monitoring. The conclusion is that the resistive pre-heating gives additional means for controlling the stability and the heat input of the laser-directed energy deposition.
A Shift Toward Childbearing in One-Child Families Through a Mindfulness-Based Stress Reduction Program: A Randomized Controlled Trial

Objective: Fertility patterns are a key to the estimation of future population size, but they are restricted by serious indecision. One-child families are one of these patterns that is caused by a set of factors and one of these factors is the fear of re-pregnancy. In this regard, this study aimed to use a mindfulness-based stress reduction (MBSR) program to reduce the fear of women who have been experiencing anxiety after their first pregnancy and delivery. Materials and methods: This interventional study was conducted on 67 one-child women, who at least 6 years have been passed since the birth of their child and according to the short form of the Pregnancy Related Anxiety Questionnaire (PRAQ-17), have been experienced anxiety. These women were randomly divided into control and intervention groups. For the intervention group, the MBSR program was conducted in 8 sessions, once every week, each session lasting 2.5 hours. At the end of the program, a second PRAQ-17 was completed by both groups. Results: The findings showed that the MBSR approach in the intervention group significantly decreased the anxiety score in total (p=0.001) and individually in all subcategories. Conclusion: The MBSR approach can reduce the anxiety of one-child women who have experienced anxiety after their pregnancy and childbirth. Thus, using this method in helping women with pregnancy-related anxiety is recommended to increase the birth rate.
Utilizing a Storm-Generating Hotspot to Study Convective Cloud Transitions: The CACTI Experiment

The Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign was designed to improve understanding of orographic cloud life cycles in relation to surrounding atmospheric thermodynamic, flow, and aerosol conditions. The deployment to the Sierras de Córdoba range in north-central Argentina was chosen because of very frequent cumulus congestus, deep convection initiation, and mesoscale convective organization uniquely observable from a fixed site. The C-band Scanning Atmospheric Radiation Measurement (ARM) Precipitation Radar was deployed for the first time with over 50 ARM Mobile Facility atmospheric state, surface, aerosol, radiation, cloud, and precipitation instruments between October 2018 and April 2019. An intensive observing period (IOP) coincident with the RELAMPAGO field campaign was held between 1 November and 15 December during which 22 flights were performed by the ARM Gulfstream-1 aircraft. A multitude of atmospheric processes and cloud conditions were observed over the 7-month campaign, including numerous orographic cumulus and stratocumulus events; new particle formation and growth producing high aerosol concentrations; drizzle formation in fog and shallow liquid clouds; very low aerosol conditions following wet deposition in heavy rainfall; initiation of ice in congestus clouds across a range of temperatures; extreme deep convection reaching 21-km altitudes; and organization of intense, hail-containing supercells and mesoscale convective systems. These comprehensive datasets include many of the first ever collected in this region and provide new opportunities to study orographic cloud evolution and interactions with meteorological conditions, aerosols, surface conditions, and radiation in mountainous terrain.
Gender Pay Gap in India: A Reality and the Way Forward—An Empirical Approach Using Quantile Regression Technique

There is a growing body of empirical work on gender studies that mostly focus on the gender-wise representation of individuals in different sectors. One such study is the wage gap attributed to gender. In this article, we have tried to focus on a detailed study of the gender wage gap in the Indian context. The study was carried out on the most recent Employment–Unemployment Survey carried out by NSS for the year 2012. The study was based on the personal characteristics as well as the characteristics of the job undertaken by the employees. Ordinary least square regression and linear quartile regression model were used for analysis. In our study we have come up with a few interesting determinants of wage inequality based mostly on the personal traits. For women, personal characteristic like age was highly significant determinant of wage whereas in case of men more industry specific determinants were significant. JEL Classifications: C01, C10, J16, J31
Robot Motion Planning Benchmarking and Optimization using Motion Planning Pipeline

Algorithms have been designed for robot motion planning with various adaptability to different problems. However, how to choose the most suitable planner in a scene has always been a problem worthy of research. This paper aims to find the most suitable motion planner for each query under three different scenes and six different queries. The work lies in optimization of sampling-based motion planning algorithms through Motion Planning Pipeline and Planning Request Adapter. The idea is to use the pre-processing of the planning request adapter, to run OMPL as a pre-processer for the optimized CHOMP or STOMP algorithm, and connect through the motion planning pipeline, to realize the optimization of the motion trajectory. The optimized trajectories are compared with original trajectories through benchmarking. The benchmarking determines the most suitable motion planning algorithm for different scenarios and different queries. Experimental results show that after optimization, the planning time of the algorithm is longer, but the efficiency is significantly improved. In the low-complexity scenes, STOMP optimizes the sampling algorithm very well, improves the trajectory quality greatly, and has a higher success rate. CHOMP also has a good optimization of the sampling algorithm, but it reduces the success rate of the original algorithm. However, in more complex scenes, optimization performance of the two optimization methods may not be as good as the original algorithm. In future work, we need to find better algorithms and better optimization algorithms to tackle with complex scenes.
A Prognostic Model Constructed Based on Rna Binding Protein to Predict the Prognosis of Patients With Rectal Cancer

Background: The incidence of rectal cancer in young people is increasing, and there has been a problem of poor prognosis in recent years. Many studies have shown that RNA binding protein (RBP) is related to the progression of various malignant tumors. However, the role of RBPs in rectal cancer is poorly understood. New prognostic models are urgently needed.Materials and methods: In the study, we used the RBPTD database, The Cancer Genome Atlas (TCGA) database and the transcription data information and corresponding clinical information of rectal cancer patients in the Gene Expression Omnibus (GEO) database to screen out RBPs that are differentially expressed in tumor tissues and normal tissues. Subsequently, we analyzed the prognostic value of these RBPs using bioinformatics methods. In order to screen the key RBP in the occurrence of rectal tumors and establish a prognostic risk score model. The use of survival analysis shows that assessing the relationship between key RBPs and the patient's overall survival rate. In the TCGA cohort, the prognostic model was further tested. At the same time, the nomogram of the 6 RBP mRNAs in the TCGA cohort was constructed, and the ROC curve was used for verification. Finally, q-PCR was performed on clinical samples to verify the expression of hub genes.Results: The new 6RBP (EXO1, TOP2A, RUVBL1, NXT1, PACSIN2, WDR4) prognostic model was established to predict the prognosis of rectal cancer. The ROC curve showed good results in the training cohort and validation cohort. The new 6RBP (EXO1, TOP2A, RUVBL1, NXT1, PACSIN2, WDR4) prognostic model was established to predict the prognosis of rectal cancer. The ROC curve showed good survival prediction in both the training cohort and the validation cohort. The constructed nomogram has certain guiding significance for clinical decision-making. In addition, GSEA analysis revealed potential biological functions. The q-PCR verification results showed the consistency with the construction of the prognostic model.Conclusions: We constructed a six RBPs prognostic model and a nomogram to predict the prognosis of patients with rectal cancer, and performed q-PCR expression testing through clinical samples, which may help clinical decision-making.
Standard molar enthalpies of formation of sulfosalts in the Ag-As-S system and thermochemistry of the sulfosalts of Ag with As, Sb, and Bi

AssrRAcr High-temperature direct-synthesis calorimetry of the silver thioarsenite minerals smithite (AgAsSr), trechmannite (AgAsSr), and proustite (Ag.AsSr) at 793 Kyielded mean values for the standard enthalpy of formation from the elgments of -59.1 + 2.3, -74.77 + 2.9, and -lll.3 + 3.4 kJ.mol ', respectively. The enthalpy of transformation of the low-temperature polymorph of AgAsS, (trechmannite) to the high-temperature polymorph (smithite) was determined to be 15.65 + 1.7 kJ.mol-'. At the equilibrium temperature of this transformation, 593 IC this yields an entropy of transformation of 26.4 + 3.0 J.K-r'mol '. A systematic study of the thermochemistry of the sulfosalts of Ag with the Group V elements As, Sb, and Bi shows that the enthalpies of formation for the low-temperature polyrnorphs become progressively more exothermic in the order Bi - Sb - As. The enthalpies of transformation from the low- to high-temperature polymorphs of AgBiS, (0 - a matildite), AgSbS, @ - A miargyrite), and AgAsS, (trechmannite - smithite) become more endothQrmic in the order Bi = Sb - As, whereas the corre$ponding entropies of transformation of these minerals (i.e., AS,.",") increases in the order Sb - Bi - As. For the transformation of a- to B-miargyrite, AS,,"n. x 2R lt 2 and may be attributed to the complete disordering of Ag and Sb atoms in the miargyrite structure. This approximate equality is in marked contrast to both AgAsS, and AgBiSu for which AS,,. "" > 2Rln 2. The molar volume differences (i.e., AZ,.*") for these polymorphic transformations are negative and decrease in magnitude in the order AgAsS, - AgSbS, - AgBiSr. Each of the polymorphic transformations therefore involves (at 298 K) a decrease in molar volume and a positive entropy change with no apparent correlation between Atr{. -. and AS,on. INrnoouc.rIoN
Hypnotic Anesthesia for Blepharoplasty Surgery: A Case Report

Introduction: Blepharoplasty, which is performed for either functional or cosmetic purposes, is one of the most common surgeries around the world. This procedure can be performed under either local or general anesthesia. It depends on the surgical indication, patient’s demand, surgeon’s plan, and need for auxiliary operations. It has been proved that both local and general anesthesia have different complications. Hypnosis is a skill by which hypnotherapists can make changes in perceptual experience and can be used instead of anesthetic drugs on some occasions. The present study was conducted to survey the effectiveness of hypnosis used as an alternative to anesthesia procedures. Case Presentation: A 54-year-old woman was scheduled for bilateral upper lid cosmetic blepharoplasty. Hypnotic anesthesia was conducted owing to her fear of anesthesia and drug-related side effects. Hypnotic anesthesia was accomplished by a hypnotherapist who was an anesthesiologist, and the operation was done without any surgical complications. Conclusions: Hypnosis may be a good alternative to local anesthesia and lead to a reduction in analgesics consumption.