Miracle-dz/UniFAR-FTUs huggingface dataset:
Incipient Boiling Characteristics at Atmospheric and Subatmospheric Pressures

Experimental data are reported for incipient boiling of water, refrigerant R-113, and methanol from a flat horizontal stainless steel surface of known surface roughness. The work was carried out over a pressure range of 1, 0.5, and 0.25 atm. Overshoot temperature at incipience for R-113 and methanol were systematically investigated and found to exist for all pressures employed. The overshoot in temperature at incipience did not occur for water within the experimental range covered. Surface temperature fluctuations were found to increase in amplitude with decreasing pressure, reaching a maximum at incipience. In general, these temperature fluctuations became less pronounced as fully developed nucleate boiling became established. An abnormal occurrence of transition from single-phase free convection to film boiling is also reported.
A study of gauge-invariant non-local interactions

The paper investigates the possibility of introducing ‘non-local’ interactions, i. e. interactions represented by four-dimensional integral operations, in order to eliminate divergences in the quantum theory of interacting fields. In particular, a type of equation is discussed which preserves all the required invariance properties, including gauge invariance and macroscopic causality. It turns out that equations of this type still give divergent results. The origin of these divergences is discussed, and it is shown that if there is any way of formulating a finite theory it would have to be very different from the one investigated here.
The Moufang Laws, Global and Local

There are many possible ways to define Moufang element. We show that the traditional definition is not the most felicitious — for instance, the set of all Moufang elements in an arbitrary loop, qua the traditional definition, need not form a subloop. We offer a new definition of Moufang element that ensures that the set of all Moufang elements in an arbitrary loop is a subloop. Moreover, this definition is "maximally algebraic" with respect to autotopisms. We also give an application of this new definition by showing that a flexible A-element in an inverse property loop is, in fact, a Moufang element, thus sharpening a well-known result of Kinyon, Kunen, and the present author [6]. Finally, we prove that divisible, Moufang groupoids are Moufang loops, thus sharpening a result of Kunen [9], one of the first computer-generated proofs in loop theory.
A disturbed molecular disc in the Circinus galaxy

We have used the Swedish ESO Submillimeter Telescope to observe the molecular gas in the Circinus galaxy using the CO(1→0) transition as a tracer. The central region and major axis have been mapped and several other points were also observed. The gas in the galaxy is concentrated towards the nucleus, the peak being coincident with the radio/optical core. The inclination of the molecular galactic disc is more comparable to that of the radio continuum than to that of the large-scale H I emission. Evidence for an anomalous spur structure pointing radially away from the galactic centre is presented, and may indicate a causal link between it and similar features seen in optical lines and radio continuum. Our data suggest the presence of a central molecular ring or disc with radius 300±50 pc and a rotation velocity of about 200 km s (assuming i = 73°). The dynamical mass of the nucleus is estimated to be no greater than 3.9 × 10 M. Assuming that the distribution of gas varies smoothly in the outer regions, we calculate the mass of molecular gas in the galaxy to be at least M = 1.1 × 10 M, and the star-forming efficiency to be 11 ± 2 L M . These results imply that Circinus is undergoing a massive central starburst which may be, at least partially, responsible for its extended minor axis emission seen in several wavebands.
Model of Automatic Distribution of Topologically Related Objects to Layers in Navigation Systems

In article the problem of automatic distribution of spatial objects to layers is considered. The result of the distribution is multi-layered vector map. Hierarchical model of topological relations has been developed. It is the basis for implementation of objects distribution algorithms. The practical significance of the work is processing of spatial objects in navigation systems.
Impacts on the CV parent body: A coordinated, multiscale fabric analysis of the Allende meteorite

Evidence of impact‐induced compaction in the carbonaceous chondrites, specifically CMs and CVs, has been widely investigated utilizing microscopy techniques and impact experiments. Here, we use high‐resolution photography and large area and high‐resolution electron backscattered diffraction (EBSD) mapping analyses in tandem, to explore the effects of impact‐induced compaction at both the meso‐ and micro‐scales in the Allende CV3.6 carbonaceous chondrite. Macro‐scale photography images of a ~25 cm slab of Allende captured meso‐scale features including calcium‐aluminum inclusions (CAIs) and chondrules. CAIs have a long‐axis shape‐preferred orientation (SPO). Examination of such meso‐scale features in thin section revealed the same trend. Matrix grains from this section display a large amount of heterogeneity in petrofabric orientation; microscale, high‐resolution, large area EBSD mapping of ~300,000 olivine matrix grains; high‐resolution large area EBSD map across an elongate CAI; and a series of high‐resolution EBSD maps around two chondrules and around the CAI revealed crystallographic preferred orientations (CPOs) in different directions. Finally, internal grains of the CAI were found to demonstrate a weak lineation CPO, the first crystallographic detection of possible CAI “flow. ” All results are consistent with multiple, gentle impacts on the Allende parent body causing hemispheric compaction. The larger, more resistant components are likely to have been compressed and oriented by earlier impacts, and the matrix region petrofabrics and CAI “flow” likely occurred during subsequent impacts. Meteoritic components respond differently to impact events, and consequently, it is likely that different components would retain evidence of different impact events and angles.
Perspectives on vitamin E, canthaxanthin and selenium to chick embryo antioxidant protection

SUMMARY The egg provides the nutritional support for the development of the embryo; thus, the embryo’s antioxidant system can be enhanced with antioxidant supplementation agents in the breeder’s diet or antioxidant supplementation agents in in ovo feeding. The 19th day of broiler embryonic development can be cited as a moment of increased oxidative action on chick embryo tissues as on the 18th day of development, the chick starts the internal pipping of the air chamber and starts to have a greater oxygen supply, which can intensify the oxidative action and the generation of free radicals. The use of vitamin E in doses higher than 200 mg/kg in the breeders’ feed influences the oxidative protection in the egg yolk, with a greater concentration of antioxidant enzymes (GSH-Px activity, SOD and catalase) in the serum, liver and musculature of breeders and in the serum of newly hatched chicks. Canthaxanthin (6 mg/kg) in the broiler breeders’ diet is efficient in improving the results of egg fertility, hatchability and oxidative status of the newly hatched chick. Supplementing selenium in the breeder’s feed is capable of increasing the availability of selenium for embryonic development and increasing the antioxidant capacity of the embryo’s tissues, increasing the hatching. Vitamin E in ovo feeding was studied, but the doses administered need to be further investigated because there is a certain discrepancy between the results found. The only study that evaluated a commercial product containing canthaxanthin in ovo indicated an improvement in the antioxidant capacity of the embryo; however, it was recommended that the studies are carried out to elucidate the use of pure canthaxanthin. The present review found that oxidative protection of embryonic tissues during development and at hatching period is essential for an incubation with a high number of hatched chicks and a low incidence of embryonic mortality.
THE IMPACT OF ACCOUNTABILITY AND TRANSPARENCY ON FINANCIAL MANAGEMENT IN TOURISM VILLAGES: PARTICIPATION AS A MEDIATOR

Support from the community and village authorities is necessary for the development of a tourist village. The availability of funds to support the development of facilities and infrastructure is a crucial aspect in developing a tourist village. For this reason, the effectiveness of financial management in tourism villages is beneficial. Accountability, transparency, and community involvement are some of the characteristics that affect how well villages manage their finances. This research aims to investigate the direct and indirect effects of accountability and transparency on village financial management through community participation as a mediating variable. Stewardship theory, which portrays a circumstance where management is not driven by individual goals but is more focused on their major results in order to develop the organization, offers as the theoretical foundation for this research. In this study, the partial least squares (PLS) data analysis method with structural equation modeling (SEM) was utilized to test the hypothesis. Whereas to test the mediating variable, we will use the testing method of the Sobel test, namely testing the path coefficient of indirect influence. The seven hypotheses offered were significant, according to the findings of hypothesis testing using partial least squares (PLS). These findings demonstrate that involvement can moderate the connection between accountability and transparency in financial management. Following the study's findings, participation, accountability, and transparency all have an impact on how effectively finances are managed. So that these three things can be a concern for the village government, It is hoped that further research will enable the development and addition of other independent variables that will influence the effectiveness of financial management variables.
Asymptotically Unbiased Estimation in Generalized Linear Models with Random Effects

SUMMARY Obtaining estimates that are nearly unbiased has proven to be difficult when random effects are incorporated into a generalized linear model. In this paper, we propose a general method of adjusting any conveniently defined initial estimates to result in estimates which are asymptotically unbiased and consistent. The method is motivated by iterative bias correction and can be applied in principle to any parametric model. A simulation-based approach of implementing the method is described and the relationship of the method proposed with other sampling-based methods is discussed. Results from a small scale simulation study show that the method proposed can lead to estimates which are nearly unbiased even for the variance components while the standard errors are only slightly inflated. A new analysis of the famous salamander mating data is described which reveals previously undetected between-animal variation among the male salamanders and results in better prediction of mating outcomes.
Service-aware and Interference Avoiding Multi-node Parallel Resource Scheduling Algorithm for Smart Grid Networks

The efficiency of wireless resource scheduling is a technical challenge in the fields of smart grid networks when time slot, frequency, and channel resources are limited and transmission service requests appearing. In this paper, a novel multi-node cooperative parallel resource scheduling scheme is proposed to solve this problem. Based on the perception of global network transmission services and the topology of scheduling services, multi-node cooperative parallel resource scheduling is performed. The computer simulation verifies that the proposed algorithm can maximize the number of parallel business data streams, satisfy the QoS quality of power services, and save network resources.
Transcriptomics Reveals the Molecular Basis for Methyl Jasmonate to Promote the Synthesis of Monoterpenoids in Schizonepeta tenuifolia Briq.

Background: Methyl jasmonate has an important effect on the synthesis of plant secondary metabolites. Schizonepeta tenuifolia Briq. has a wide range of pharmacological effects and the secondary metabolites are dominated by monoterpenes (pulegone, menthone). Objective: It is essential to determine the changes in secondary metabolites in S. tenuifolia under methyl jasmonate treatment and to probe the molecular mechanism. This can improve the accumulation of secondary metabolites in the medicinal plant S. tenuifolia and enrich the information gene expression at different MeJA levels, which can help to elucidate the molecular mechanism of monoterpenoid synthesis in S. tenuifolia. Methods: In this study, we determined the changes in the content of monoterpenoids in S. tenuifolia under methyl jasmonate treatment. Meanwhile, we established a transcriptome database of S. tenuifolia under methyl jasmonate level using high-throughput sequencing. Results: A certain concentration of MeJA promoted the accumulation of monoterpenoids in S. tenuifolia. The transcriptome database of S. tenuifolia leaves under 0, 50, 100 and 250 μM MeJA treatment was established. We generated 88,373 unigenes with an N50 length of 2678 bp, of which 50,843 (57.53%) can be annotated in at least one database. Compared with the CK (0 μM) group, 12,557 (50 μM), 15,409 (100 μM) and 13,286 (250 μM) differentially expressed genes were identified. GO and KEGG enrichment analysis revealed that JA signal transduction and monoterpenoid synthesis were the two most significant enrichment pathways. The expression levels of related DEGs involved in JA signaling and monoterpenoid synthesis were significantly up-regulated by MeJA. In addition, our phenotypic and differentially expressed gene association analysis revealed that monoterpenoid biosynthesis in S. tenuifolia was more associated with genes involved in plant trichome branching, phytohormone signaling and transcriptional regulation. Conclusions: This study confirmed that methyl jasmonate significantly promoted monoterpenoid biosynthesis in S. tenuifolia. A large number of genes responding to methyl jasmonate were associated with JA signaling and monoterpenoid biosynthesis.
Traffic Sign Classification using Deep Learning

The ability of a vehicle to self-drive is receiving a lot of attention these days. One of the most significant features of a self-driving car is its capacity to identify traffic signs, which ensures the safety and security of passengers both inside and outside the vehicle. Negligence in viewing and interpreting traffic signs accurately is a major cause of road accidents. A system that assists in identifying traffic signs, allowing the vehicle to make appropriate judgments is essential. Therefore, a method based on a Convolutional Neural Network (CNN), which aids in the classification of traffic signs has been suggested in this paper. The main objective is to develop a system with better performance that helps in the classification of the signs efficiently to avoid accidents and encourage the development of autonomous vehicles. Moreover, the proposed model is compared with the standard Le-Net 5 model. The accuracy for the proposed TrafficSign CNN model is 95.8%.
Analysis of Coherence Relation for Complex Sentences Using Attributes of Verbs and Subjects

本論文は, 動詞と主体の属性を用いて, 複文中の連接関係を解析するモデルを作成し, 評価した結果を述べる. 複文中の連接関係の関係的意味は, 接続詞, 助詞等の接続の表現だけでは決まらず, 曖昧性がある. 例えば, 助詞「て」による連接関係には, 「時間的継起」のほかに「方法」, 「付帯状態」, 「理由」, 「目的」, 「並列」などがある. これらの関係的意味は, 従属節や主節の述語の表している事象の意味タイプ, およびその組み合わせによって決まってくる. 従って, 動詞と名詞の意味的関係を表すために, 動詞と名詞の意味分類を用いた格パターンがあると同様に, 従属節と主節の連接関係にも, 各々の節を構成する動詞と主体の属性を用いた連接関係パターンが存在すると考えることができる. 本論文のモデルでは, 従属節と主節の, 動詞と主体の属性を用いて, 連接関係の関係的意味を推定する. 動詞の属性として, 意志性, 意味分類, 慣用的表現, ムード・アスペクト・ヴォイス, 主体の属性として, 主節と従属節の主体が同一かどうか, 無生物主体かどうかを用いた. このモデルを, 技術文書に適用した結果, 95%の文が正しく解析できた.
Adaptive Multi-Variate Deep Learning Model for Music Hit Prediction: A Systematic Review

The evolution of multimedia encourages the development of research perspectives to increase the assistance provided by several platforms which include Spotify. Thus, a recent technique for retrieving a huge volume of data related to music is found to be a challenging task in the MIR (Music Information Retrieval) framework. But, it is still considered inaccurate with the lack of data required to identify the popularity of the song. Though there are many platforms available to quantify the popularity in various aspects,there is still difficulty in performing a generalized model. An innovative Multimodal Deep Learning architecture is used to conduct experiments and analyze the music recordings which has the highest popularity by undergoing preliminary stage autoencoder technique for making the system to provide accurate popularity. An exclusive Adaptive Multi-Variate Deep Learning Model (AMVDLM) was proposed in this study to categorize the ‘TAMIL’ language music according to the mood of listeners and promote the hit song to the listener to benefit the creators. This study used the SpotGenTrack Popularity Dataset (SPD) to train the model, which will take it in turns to the existing datasets which will make it easy for the researchers/music creators to compare and promote their song files. The dataset is named a multimodal database that uses genius platforms and Spotify which consists of high-level data, low-level data, and metadata. These features are included to extract new feature that provides higher precision when predicting the popularity. To test the AMVDLM, the music features extracted were tested with other deep learning algorithms and achieved about 95% accuracy.
Performance Analysis for Load Balancing Algorithms using POX Controller in SDN

Software-Defined Networking (SDN) makes network management simpler to configure, more flexible, and more secure than traditional methods. The primary objective of SDN is to decouple the network configuration (control plane) from the routing of traffic (data plane). Implementing load balancing on the SDN is essential to maintain the network's performance at the required level. The present research sets up an experimental test for implementing and comparing four load balancing algorithms, such as (Random, RR, WRR, and LC), using a Mininet emulator and an Open Flow switch connected to a POX. The effectiveness of the comparison process is evaluated according to many parameters, including the workload, degree of load balancing, and time values such as Max-Time, Min-Time, Average-Time, and Response Time. , also evaluated by generating different numbers of packets transmitted (300,3000,15000,45000) and different sizes of packets (1M, 10M, 25M, 50M, 75M) with work in a homogeneous environment. Depending on the evaluation results, the LC algorithm was the best of the other algorithms as it achieved the highest accuracy for the workload metric $(\text{LC}=99.87\%)$ and the average RT metric $(\text{LC}=97.6\%)$, and the second highest accuracy for the average degree of LB metric $(\text{Random}=98.7\%,\text{LC}=96.9\%)$.
OPTIMIZATION TECHNIQUES FOR SOLVING BASIS PURSUIT PROBLEMS

Signal processing is important for data reduction and signal denoising. Given a signal b ∈ R, we seek to represent b in fewer than m atoms from an overcomplete dictionary A. This paper will analyze the Basis Pursuit (BP) and Method of Frames (MOF) methods for achieving signal representations. A noisy version of the problem will be presented, where we aim to retrieve a signal b from a signal b′, which contains unwanted data.
Towards Intelligent Flow Scheduling in Software Defined Data Center Networking

With the rapid development of information technology, software defined network (SDN) has been widely used in data centers, and has become an important trend in the development of the new generation of networks. Flow scheduling is one of the core problems in large-scale distributed networks. Aiming at the problems of low bandwidth utilization and high delay in network flow scheduling in high-load data centers, a flow scheduling method based on improved ant colony algorithm, DI-ACO, was proposed. In this method, we construct a flow scheduling model, and a differentiated path pheromone initialization method based on link load and design a dynamic update mechanism of pheromone volatility coefficient. Experimental results in typical topologies show that, compared with ECMP and other existing algorithms, DI-ACO can effectively improve the average bandwidth utilization of network links by 7.6% to 30%, and effectively reduce the round-trip delay by 7.2% to 39.5%.
Defect structure of Langasite-type crystals: a challenge for applications

Whereas quartz crystals are grown hydrothermally, langasites are grown from the melt, by Czochralski. Particularities of this growth method and inherent physicochemical properties of these materials lead to a specific defect structure, which actually limits reproducibility in device parameters. In this study, crystals and wafers grown in different laboratories worldwide have been investigated. Striations, inclusions, voids, dislocations, and faceting effects are discussed in terms of their origin and 3D distribution/pattern within the samples, and their effects on device properties (when known). Ways to improve the quality of Czochralski grown langasites and ideas for future materials developments are also given.