Miracle-dz/UniFAR-FTUs huggingface dataset:
Pinning Properties of 1144 Polycrystalline Samples With Aliovalent Doping

The 1144 Iron-Based Superconductors (IBSC), characterized by the A<sub>1</sub>AE<sub>1</sub>Fe<sub>4</sub>As<sub>4</sub> chemical composition (A = Alkaline, AE = Alkaline-Earth), has gained significant interest in the recent years due to their crystalline structure characterized by an intrinsic modulation of the strain along the <italic>c</italic>-axis and by the proneness in forming crystalline defects with a positive impact on flux pinning. Moreover, it has been proved that the compound is compatible with the cost-effective powder-in-tube (PIT) manufacturing process. In our recent experiments, we have showed that the A<sub>1</sub>AE<sub>1</sub>Fe<sub>4</sub>As<sub>4</sub> structure can be tailored to obtain a 1144 compound characterized by different (A<sub>x</sub>AE<sub>1-x</sub>)(AE<sub>y</sub>A<sub>1-y</sub>)Fe<sub>4</sub>As<sub>4</sub> chemical formulae without any depression in the critical temperature value. On the other hand, it has been recently shown that the doping with selected elements on both A and AE sites has a clear influence on the pinning and the grain boundary properties of poly-crystalline samples. In this work we report the results of the extensive magnetic characterization performed on pristine Ca<sub>1</sub>K<sub>1</sub>Fe<sub>4</sub>As<sub>4</sub> and doped (A<sub>x</sub>Ca<sub>1-x</sub>)(AE<sub>y</sub>K<sub>1-y</sub>)Fe<sub>4</sub>As<sub>4</sub> with Ba as dopant on the K site and either La or Na as dopant on the Ca site. In particular, the magnetization hysteresis loops recorded at different temperatures <italic>M</italic>(<italic>H, T</italic>) and the critical current density dependences extracted from the <italic>M</italic>(<italic>H</italic>) using the Bean model, <italic>J</italic><sub>c</sub>(<italic>B</italic>, <italic>T</italic>), have been analyzed in order to assess the effect of aliovalent doping on the quality of the produced samples in terms of grain boundary properties and pinning efficiency.
Evaluation of Early Childhood Learning Using the Independent Curriculum

In this era, education is needed to support children in continuing the next generation of the nation. In education today, an update in education is needed, in order to change education in Indonesia to be more advanced. To achieve the goal of more advanced education, there must be a curriculum update in Indonesia. In February 2022 last year, the Ministry of Education and Culture launched an independent curriculum where the independent curriculum method refers more to the talents and interests of children. This independent curriculum allows students to choose the lessons they like or are most interested in. The purpose of this study is to evaluate early childhood learning on the use of the independent curriculum. This research method uses quantitative methods, this data is obtained from interviews to kindergartens. The results showed that the independent curriculum is very good in supporting students' learning in improving skills, character, by using flexible learning. From this research it can be concluded that the use of an independent curriculum for early childhood is very effective and efficient. The independent curriculum leads to the development of skills and character, focuses on essential material, and uses flexible learning. The limitation of this research is that researchers only conducted research in one kindergarten in 50 cities in West Sumatra Province, researchers hope that future researchers can conduct research with a wider range so that they can continue this research. This study also recommends to future researchers as a reference in conducting research on the use of Merdeka Curriculum in Early Childhood.
Marking Estimation in a Class of Time Labeled Petri Nets

This paper proposes an efficient marking estimation method for a subclass of time labeled Petri nets (TLPNs), in which each transition is associated with an infinite upper bound delay. The unobservable subnet of the considered subclass of TLPNs is backward-conflict-free, and all the output transitions of each conflict place are observable. The highlight of this method is that the markings set consistent with a given observation can be determined by a linear algebraic system based on the so-called slow-bound marking and fast-bound marking pairs. An algorithm to compute an online estimator is provided, and an example is given. By this method, the exhaustive construction of the full state space including the state class graph is avoided. This approach provides guidelines of sensor deployment in the design stage so that the online marking estimation problem can be efficiently solved.
Cone-beam computed tomography in endodontics: from the specific technical considerations of acquisition parameters and interpretation to advanced clinical applications

The implementation of imaging methods that enable sensitive and specific observation of anatomical structures has been a constant in the evolution of endodontic therapy. Cone-beam computed tomography (CBCT) enables 3-dimensional (3D) spatial anatomical navigation in the 3 volumetric planes (sagittal, coronal and axial) which translates into great accuracy for the identification of endodontic pathologies/conditions. CBCT interpretation consists of 2 main components: (i) the generation of specific tasks of the image and (ii) the subsequent interpretation report. A systematic and reproducible method to review CBCT scans can improve the accuracy of the interpretation process, translating into greater precision in terms of diagnosis and planning of endodontic clinical procedures. MEDLINE (PubMed), Web of Science, Google Scholar, Embase and Scopus were searched from inception to March 2023. This narrative review addresses the theoretical concepts, elements of interpretation and applications of the CBCT scan in endodontics. In addition, the contents and rationale for reporting 3D endodontic imaging are discussed.
Determination of moment tensor and location of microseismic events under conditions of highly correlated noise based on the maximum likelihood method

We examine the problem of localization of a single microseismic event and determination of its seismic moment tensor in the presence of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic events from a daylight surface during producing or surface monitoring of hydraulic fracturing. We propose a solution to this problem based on the method of maximum likelihood. We discuss mathematical aspects of the problem, some features and weak points of the proposed approach, estimate the required computing resources, and present the results of numerical experiments. We show that the proposed approach is much more resistant to correlated noises than diffraction stacking methods and time reverse modeling.
Constrangimentos às visitas aos centros de ciência : o caso do Pavilhão do Conhecimento

O presente trabalho propoe-se identificar e analisar os constrangimentos que inibem ou bloqueiam a visita e participacao nas actividades cientificas, educativas e de lazer que o Pavilhao do Conhecimento disponibiliza e promove. Pretende-se, deste modo, compreender e conhecer melhor os publicos ausentes dos Centros de Ciencia Viva em geral e, em particular, do Pavilhao do Conhecimento. Neste sentido, foi desenvolvido um estudo empirico atraves da aplicacao de um inquerito por questionario a 240 visitantes do Pavilhao do Conhecimento e de recursos concorrentes ou complementares deste Pavilhao, o qual permitiu tirar conclusoes muito relevantes sobre a natureza das motivacoes e constrangimentos as visitas ao Pavilhao do Conhecimento. Verificou-se ainda que a maioria dos constrangimentos identificados tem um elevado impacte no numero de visitas realizadas ao Pavilhao do Conhecimento e identificaram-se tambem importantes determinantes de diversos constrangimentos. ABSTRACT: The present dissertation aims to identify and analyze the constraints which inhibit or block visitation and participation in the scientific, educational and leisure based activities provided and promoted by the Pavilhao do Conhecimento. The goal is to reach, understanding and improve the general knowledge about the absentee public of the Centros de Ciencia Viva’s and in particular of the Pavilhao do Conhecimento. Following this theoretical approach, an empirical study was developed administering a questionnaire to 240 visitors of the Pavilhao do Conhecimento and of its complementary and competing attractions. This allowed for significant conclusions to be reached about the nature of the motivation and constraints on visiting the Pavilhao do Conhecimento. It was possible to observe that the majority of identified constraints have a strong influence on the number of visits to the Pavilhao do Conhecimento as well as to identify important determinants of constraints.
Early inflammatory markers as prognostic indicators following allogeneic stem cell transplantation

Allogeneic stem cell transplantation is used widely in the treatment of hematopoietic malignancy although graft versus host disease and relapse remain major complications. We measured the serum protein expression of 92 inflammation-related markers from 49 patients at Day 0 (D0) and 154 patients at Day 14 (D14) following transplantation and related values to subsequent clinical outcomes. Low levels of 7 proteins at D0 were linked to GvHD whilst high levels of 7 proteins were associated with relapse. The concentration of 38 proteins increased over 14 days and higher inflammatory response at D14 was strongly correlated with patient age. A marked increment in protein concentration during this period associated with GvHD but reduced risk of disease relapse, indicating a link with alloreactive immunity. In contrast, patients who demonstrated low dynamic elevation of inflammatory markers during the first 14 days were at increased risk of subsequent disease relapse. Multivariate time-to-event analysis revealed that high CCL23 at D14 was associative of AGvHD, CXCL10 with reduced rate of relapse, and high PD-L1 with reduced overall survival. This work identifies a dynamic pattern of inflammatory biomarkers in the very early post-transplantation period and reveals early protein markers that may help to guide patient management.
Pedestrian Dead Reckoning Based on Complex Motion Mode Recognition Using Hierarchical Classification

The pedestrian positioning algorithm based on inertial measurement unit (IMU) has been widely applied in scenarios such as firefighting and counterterrorism where global navigation satellite system (GNSS) performance is limited. However, most existing systems do not take into account crawling-type motions. Additionally, the zero velocity update error constraint method often used in pedestrian navigation is not applicable to crawling-type motions. As a result, errors introduced by crawling-type motions become the primary source of error in complex motion scenarios. In order to enhance pedestrian positioning accuracy during complex motion modes, this study analyzed data across various motion modes and developed specific positioning algorithms based on a hierarchical classification. First, we observe that data patterns for standing mode and crawling-type mode are distinct based on the analysis of motion mode. Therefore, to improve step detection accuracy, support vector machine (SVM) is employed to classify motion modes into three coarse categories: standing mode (forward/lateral/backward walking, and running), crawling mode (baby/military crawling), and one side crawling mode (one side military crawling). Specific step detection algorithms are designed for each category. Furthermore, the step lengths of standing motions and crawling-type motions exhibit relatively strong correlations with data characteristics and height, respectively. Hence, different step length models are designed. Fine classification of motion modes is accomplished using the minimally random convolutional kernel transform (MINIROCKET), optimizing step length model parameters and heading correction for various fine motion modes. Finally, precise position estimation is achieved. Experimental results demonstrate that this algorithm exhibits stronger adaptability and superior performance in complex motion scenarios.
Monolayer WS2 electro- and photo-luminescence enhancement by TFSI treatment

Layered material heterostructures (LMHs) can be used to fabricate electroluminescent devices operating in the visible spectral region. A major advantage of LMH-light emitting diodes (LEDs) is that electroluminescence (EL) emission can be tuned across that of different exciton complexes (e.g. biexcitons, trions, quintons) by controlling the charge density. However, these devices have an EL quantum efficiency as low as~10−4%. Here, we show that the superacid bis-(triuoromethane)sulfonimide (TFSI) treatment of monolayer WS2-LEDs boosts EL quantum efficiency by over one order of magnitude at room temperature. Non-treated devices emit light mainly from negatively charged excitons, while the emission in treated ones predominantly involves radiative recombination of neutral excitons. This paves the way to tunable and efficient LMH-LEDs.
Estimating ETO and scheduling crop irrigation using Blaney–Criddle equation when only air-temperature data are available and solving the issue of missing meteorological data in Egypt

Accurate assessment of evapotranspiration is essential for crop irrigation planning. In developing countries and given the cost of evaluating evapotranspiration based on the Penman-Monteith equation, this research is an attempt to provide a simple equation that depends only on temperature to estimate evapotranspiration and serve as an alternative method to FAO56-PM when only air temperature data are available and the problem of missing meteorological data is solved. Four reference methods for evapotranspiration (ET) were compared under the local climatic conditions of the El-Nobaria region in northern Egypt. The Blaney–Criddle method was found to have the highest correlation with the FAO56-PM method. Using the simple equations to calculate ETo for irrigation scheduling of peanuts had a positive effect on the yield and yield components of peanuts. The highest productivity value was obtained when the Blaney–Criddle equation was used to estimate peanut irrigation scheduling, while equation resulted in lower productivity. When the equation was used, the differences in productivity between the equations were highly significant. It is worth noting that when the Blaney–Criddle and Thorthwaite equations were used, followed by the FAO56-PM equation, the superiority of the water productivity value became evident, as the increase in nutrient concentration in the root zone led to increased nutrient uptake, resulting in an increase in the productivity of peanut yield, oil and protein.
Regional numerical modelling of offshore monopile wind turbine impacts on hydrodynamics and sediment transport

The purpose of this work is to find a parameterization which is able to represent properly the modifications caused by offshore wind turbines foundations on the hydrodynamics and sediment transport at regional scales. As a case study, the regional hydrosedimentary model MARS3D is applied on an area including the future offshore wind farm of Courseulles-sur-Mer (Normandy, France). Turbines are represented in the model using two approaches. The first method takes into account monopiles directly in the mesh as dry cells and the second one uses a sub-grid parameterization method by adding drag force term in momentum equations and source terms in k-epsilon turbulence model equations. Comparisons between the results obtained by the different approaches are carried out. As expected, both show impacts on the circulation, with formation of a wake downstream, flow deceleration in front of the pile, and flow acceleration at the side edges. Near-bed erosion occurs in locations where current speeds increase due to the monopile presence, leading to an increase of suspended sediment concentration.
4.096 Tbit/s multidimensional multiplexing signals transmission over 1000 km few mode fiber

We experimentally transmit eight wavelength-division-multiplexing (WDM) channels, 16 quadratic-amplitude-modulation (QAM) signals at 32-GBaud, over 1000 km few mode fiber (FMF). In this experiment, we use WDM, mode division multiplexing, and polarization multiplexing for signal transmission. Through the multiple-input – multiple-output (MIMO) equalization algorithms, we achieve the total line transmission rate of 4.096 Tbit/s. The results prove that the bit error rates (BERs) for the 16QAM signals after 1000 km FMF transmission are below the soft-decision forward-error-correction (SD-FEC) threshold of 2.4 × 10 − 2 , and the net rate reaches 3.413 Tbit/s. Our proposed system provides a reference for the future development of high-capacity communication.
MOLECULAR CHARACTERIZATION AND ANTIBACTERIAL ACTIVITY OF BACTERIOCIN-PRODUCING LACTIC ACID BACTERIA ISOLATED FROM SOME FERMENTED MEAT PRODUCTS

In this investigation, 123 lactic acid bacterial strains (LAB) were isolated and identified from 30 of each type of fermented meat products (sausage, salami and hotdog). Colony and cell morphology, Gram reaction, biochemical assessments and sequencing of the 16S rRNA gene using PCR technique were principally employed to identify some of the LAB strains. According to the molecular characterization data, Lactobacillus plantarum , Lactococcus lactis spp . Lactis and Leuconostoc mesentroides spp. mesentroides were the three most common LABs. Additionally, the results revealed that the mean inhibition zone of antibacterial activity of pure bacteriocin of LAB was expressed as 21.50±3.55, 25.71±2.18, 20.07±5.16, and 2.93±3.97 in millimeter against Listeria monocytogenes ATCC 7644, Staphylococcus aureus ATCC 6538, Escherichia coli ATCC 25922 and Salmonella Typhimurium ATCC 14028, respectively. So, pure bacteriocin is shown by its capability to inhibit the growth of both Gram-positive and Gram-negative bacteria. Currently, bacteriocins producing LAB are frequently utilized as an alternative to antibiotics in the food sector as a food preservation agent. In terms of promoting food safety, extending shelf life, and upgrading product quality, it will further expand the application area of bacteriocin. In the categories of fermented food sectors, they are economically very important.
Investigation on Chinese Function Words and Construction of Generalized Function Word Knowledge Base in Natural Language Processing

: The study of function words in Chinese has a long history and has achieved fruitful results. However, most of the existing research on function words is human-centered, and it is difficult to avoid subjective and vague description of the character characteristics of function words. Therefore, it is difficult to apply it directly to the research of Natural Language Processing (NLP). From the perspective of computational linguistics, and combined with the existing literature and the People’s Daily of part of speech tagging and its corpus, this paper aimed to provide some scientific basis for the use of function words in Chinese. This paper mainly explains the theory and method of conjunctions and phrases in Chinese function words. This paper integrated, proofread and identified Chinese function words through various kinds of dictionary corpus, and the knowledge base was constructed. By comparing the two preprocessing models in NLP, this paper mainly compared the function word recognition rate, text, grammar, semantics, lexical resolution, and the amount of training text data. The results showed that the ELMo model improved the recognition rate of function words by 14.5% compared with NNLM model in the constructed knowledge base, and had a higher understanding of all kinds of grammar and morphology. There would also be more text data for training. However, the NNLM model would be more stable in the amount of training text.
Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain

Abstract. The large-scale emissions of airborne particulates from burning of agricultural residues particularly over the upper Indo-Gangetic Plain (IGP) have often been associated with frequent formation of haze, adverse health impacts, and modification in aerosol climatology and thereby aerosol impact on regional climate. In this study, short-term variations in aerosol climatology during extreme biomass burning emissions over the IGP were investigated. Size-segregated particulate concentration was initially measured and submicron particles (PM1.1) were found to dominate particulate mass within the fine mode (PM2.1). Particulate-bound water-soluble ions were mainly secondary in nature and primarily composed of sulfate and nitrate. There was evidence of gaseous NH3 dominating neutralization of acidic aerosol species (SO42-) in submicron particles, in contrast to crustal-dominating neutralization in coarser particulates. Diurnal variation in black carbon (BC) mass ratio was primarily influenced by regional meteorology, while gradual increase in BC concentration was consistent with the increase in Delta-C, referring to biomass burning emissions. The influence of biomass burning emissions was established using specific organic (levoglucosan), inorganic (K+ and NH4+), and satellite-based (UV aerosol index, UVAI) tracers. Levoglucosan was the most abundant species within submicron particles (649±177 ng m−3), with a very high ratio (> 50) to other anhydrosugars, indicating exclusive emissions from burning of agriculture residues. Spatiotemporal distribution of aerosol and a few trace gases (CO and NO2) was evaluated using both spaceborne active and passive sensors. A significant increase in columnar aerosol loading (aerosol optical depth, AOD: 0.98) was evident, with the presence of absorbing aerosols (UVAI > 1.5) having low aerosol layer height (∼ 1.5 km). A strong intraseasonality in the aerosol cross-sectional altitudinal profile was even noted from CALIPSO, referring to the dominance of smoke and polluted continental aerosols across the IGP. A possible transport mechanism of biomass smoke was established using cluster analysis and concentration-weighted air mass back trajectories. Short-wave aerosol radiative forcing (ARF) was further simulated considering intraseasonality in aerosol properties, which resulted in a considerable increase in atmospheric ARF (135 W m−2) and heating rate (4.3 K day−1) during extreme biomass burning emissions compared to the non-dominating period (56 W m−2, 1.8 K day−1). Our analysis will be useful to improve understanding of short-term variation in aerosol chemistry over the IGP and to reduce uncertainties in regional aerosol–climate models.