Miracle-dz/UniFAR-FTUs huggingface dataset:
Selos de aprovação e o comportamento das receitas em Organizações Não Governamentais Brasileiras

O objetivo desse artigo é verificar o comportamento das receitas auferidas pelas ONGs, a partir do selo de aprovação, Prêmio 100 Melhores ONGs, edição 2017. A busca de informações foi realizada nos websites oficiais das ONGs dos anos de 2017 a 2020. A regressão linear múltipla foi aplicada, após a análise descritiva. Esta pesquisa visa contribuir no entendimento do uso de selos de aprovação como sinal de confiança às ONGs, assim, a discussão contribui para a evolução e ampliação dos sistemas de autorregulação já existentes, ou mesmo o despertar para a criação de programas involuntários de avaliação do Terceiro Setor no Brasil, como sendo um mecanismo para melhorar a imagem, a legitimidade, a transparência e a credibilidade do setor e, um agente menos oneroso e mais eficiente de ajuda na divulgação das informações e consequente aumento da arrecadação de recursos para continuidade dessas instituições. A sugestão da divulgação mais ampla dos selos de aprovação na mídia pode contribuir para o aprendizado, para a divulgação dos selos e das ONGs. Os achados apontam aumento das receitas médias totais para a maioria das ONGs (52 do total de 72) ao longo dos anos. Pode-se afirmar que as receitas têm relação positiva com a IDADE organizacional, sendo que para cada ano completo, se tem um aumento de 0,02% no logaritmo natural da RECEITA. As variáveis FORMA e REGIÃO não apresentaram significância estatística e os resultados não são generalizáveis.
A Study on the learning climate and job satisfaction of nurses and IT employees

Organizational learning in purview of the general definitions is the various practices followed by the employer from an employee’s point of view to facilitate learning at workplace. Training climate has been defined as a short-time instrumental variable capable of guaranteeing learning objectives, constituted by work-related factors that may influence training success and failure and the effectiveness of formal and informal training activities. Workplace identity refers to the psychological relationship between the individual and the organization, or rather the specific division where one works. Job Satisfaction is usually treated as a collection of feelings or affective responses associated with the job situation, or “simply how people feel about different aspects of their jobs”. The purpose of this paper was to explore if and to what extent workplace identity can mediate the relationship between learning climate dimensions and job satisfaction in a group of trainees. Sample of 30 each was taken from two types of sectors within the service industry. This was to see if these sectors within the service industry exhibit similar behavior.
Ferromagnetic hysteresis

An equation describing the initial magnetisation curve and hysteresis loops of ferromagnetic materials has been derived theoretically based on a mean field approximation. The mutual interaction of the moments is expressed as a coupling coefficient and a restraining force on the motion of the domain walls, caused by the pinning of the walls at defect sites, is expressed as a pinning coefficient. The resulting equation of state for the model is a first order linear differential equation incorporating the two parameters and a scaling parameter λ which represents the ratio of the coupling to the two fields H and M.
Interference ablation of nanogratings with different duty cycles on gold films

Abstract. Nanogratings with different duty cycles are directly written on gold films using interference ablation. After exposing the gold film to the interference pattern of ultraviolet laser beams, gold film in the bright fringes will be melted and ablated, whereas much weaker ablation occurs in the dark fringes. The duty cycle of gold nanogratings can be controlled by adjusting the pulse energy and the exposure times, which can be explained by the temperature rise and cumulative effect of the laser–metal interactions. These results introduce additional parameters for the fine fabrication of metal nanogratings based on interference ablation at a large scale and low cost.
Inverse Linking and Telescoping as Polyadic Quantification

Inverse linking We reinterpret three observations from the literature to support the idea that the quantifiers involved in an IL reading form a semantic unit rather than a sequence of quantifiers. The first two arguments show that the logical behavior of an NP containing an embedded quantifier differs from that of the same NP without embedded quantifier. The third one shows that the two quantifiers cannot be separated. 1) Moltmann (1995) points out that the IL readings for NPs such as the wife of every president allow for except-phrases (the wife of every president except Hillary), even though except-phrases are not compatible with singular definites, but very well with universals. 2) Woisetschlaeger (1983) shows with examples like (3) that definite NPs that embed an indefinite NP can occur in existential there-clauses, which normally disallow definites. (3) There is [[a well-known mathematician’s] proof] of the theorem on page 642.
Brief Paper - Fault-tolerant control of strict-feedback non-linear time-delay systems with prescribed performance

An approximation-based adaptive fault-tolerant (AFT) control problem is investigated for strict-feedback non-linear systems with unknown time-delayed non-linear faults. The error surfaces restricted by prescribed performance bounds are employed to guarantee the transient performance at the moment when faults with unknown occurrence time and magnitude occur. Based on the surfaces, we design a memoryless AFT control system where the function approximation technique using neural networks is applied to adaptively approximate unknown non-linear effects and changes in model dynamics because of the time-delayed faults. It is shown from Lyapunov stability theorem that the tracking error of the proposed control system is preserved within the prescribed performance bound and converges to an adjustable neighbourhood of the origin regardless of unknown time-delayed non-linear faults.
Effective Feature Selection and Deep Learning-Based Classification for Non-Intrusive Load Monitoring

Abstract The approach detects the load consumption of every device from the aggregated home energy consumption. Most current solutions utilize machine learning (ML) methods resulting in models with many parameters and a high computational load. This article develops an effective feature selection and deep learning-based classification for NILM, which enhances the overall classification accuracy for appliance classification. At first, the data is collected, and the pre-processing stage is performed. Then, the event detection process is performed using the mean absolute deviation-sliding window approach. Then, feature extraction is performed using the Huang–Hilbert transform and time-domain descriptors methods. Then, the most significant features are selected using the new efficient optimization algorithm named Wildebeest herd optimization. Finally, the classification of the individual household appliances is performed using the hybrid wavelet convolutional sparrow search algorithm. The proposed work is simulated in MATLAB using the iAWE dataset. Various evaluation metrics have been computed for the proposed work and are compared to the current methods. Simulation results proved that the proposed method provides better outcomes for appliance classification than other approaches. The proposed model improves the appliance classification accuracy by 3.36%, 3.47%, 8.92%, and 6.38%, respectively, compared to CNN, DNN, KNN, and SVM.
Research progress of cyclosporine A in treatment of recurrent abortion

: Recurrent spontaneous abortion (RSA) is one of the common complications of pregnancy in obstetrics and gynecology, and it seriously threatens the physical and mental health of women in the reproductive period. The etiology of RSA is complex, and based on the basic national conditions and clinical practice in China, it is found that the incidence rate of RSA among women of childbearing age increases year by year. At present, the etiology of some patients with RSA is unknown, and some studies have reported that its pathogenic factors are closely related to immune abnormalities. At present, immunization-related therapeutic scheme of RSA has attracted more and more attention from scholars. Many studies have found that the immunosuppressive agent A (cyclosporine A, CsA) has an affirmative effect on the prevention and treatment of RSA by benign regulation of maternal-fetal immune tolerance and positive regulation of trophoblast biological function. However, the application of CsA in the reproduction field is still in the exploratory stage, and there are no standardized treatment standards, large samples and high quality clinical trials. In view of this, we reviewed the mechanism of action of CsA in the treatment of RSA and the research progress of combination therapy in recent years, in order to provide new theoretical support for the subsequent clinical treatment of RSA.
A Cross-Sectional Study to Determine the Association of Corrected QT Interval With Microalbuminuria in Type 2 Diabetes Mellitus

Introduction Cardiac autonomic neuropathy (CAN) is a frequent and life-threatening complication of type 2 diabetes. Failure to diagnose can lead to high mortality and morbidity. In patients who have diabetes mellitus, microalbuminuria is an independent marker for cardiovascular disease. This study aimed to assess the corrected QT interval with microalbuminuria in type 2 diabetes mellitus. The objective of this study was to estimate the corrected QT interval in subjects with type 2 diabetes mellitus and to determine the association of the corrected QT interval with microalbuminuria type 2 diabetes mellitus. Methodology Ninety-five adult patients (>18 years to 65 years) diagnosed with type 2 diabetes mellitus with microalbuminuria were included in this study. Data were collected on the proforma through history taking and a general physical and systemic examination. An electrocardiograph was taken on the day of admission; the most prolonged QT interval was measured, and the RR interval was calculated. The data were statistically analyzed using IBM SPSS Statistics for Windows, Version 24 (Released 2016; IBM Corp., Armonk, New York, United States). Results There was a significant difference in the corrected QT interval prolongation prevalence between diabetic patients with microalbuminuria and without microalbuminuria (P-value <0.001). The mean corrected QT interval distribution did not differ significantly across various age groups of cases studied with microalbuminuria (P-value 0.98). The distribution of mean corrected QT interval did not differ significantly between the group of male cases and group of female cases studied with microalbuminuria (P-value 0.66). The mean corrected QT interval distribution did not differ significantly across various duration of diabetes groups among the cases studied with microalbuminuria (P-value 0.60). The mean corrected QT interval distribution did not differ significantly across different types of anti-diabetic treatment groups among the cases studied with microalbuminuria (P-value 0.64). Conclusion Type 2 diabetes has been prevalent in Indian and Asian populations. The early management of type 2 diabetes is necessary since the early stages of the disease can reduce the risk of CAN. Therefore, these patients should be diagnosed as early as possible and treated to reduce associated mortality and risk and to improve quality of care.
Model Predictive collision-free path following control for nonholonomic mobile robots

In this research, a model predictive collision-free path following controller is developed and applied for an omnidirectional mobile robot (OMR). The mobile robot is controlled to track a reference path while avoiding collision with obstacles. The path-following problem is reformulated into the regulation problem of an extended plant by introducing a virtual degree of freedom, the path parameter of a geometric reference curve. Then a Model Predictive Controller (MPC) is then applied to steer the mobile robot. The optimization cost function is established from the difference between the state of the robot and the parameter path. The solution of MPC can be obtained by repeatedly solving an optimal control problem (OCP) to reduce the optimization cost function to a minimum value, making the robot state as close to the state of the path as possible. Obstacle avoidance is considered by adding terms as a function of the gap between the mobile robot and the objects in front of the robot. Constraints on the states and inputs of the system are also easily considered in the optimal control problem of MPC. This makes the control inputs not exceed the allowable limits of the robot. Simulations are carried out to reveal the controller's efficiency and show how to choose the right parameters to synchronize path tracking and obstacle avoidance tasks.
Implementation and Penetration of the Green Concept in Bridge Construction

: With the concept of sustainable development being put forward, people pay more attention to green ecology and emphasize green development. The construction field is no exception. Therefore, the discussion on building construction under the guidance of green concept has become a hot topic in the society. As a special project in construction, bridge construction should also implement the green concept. This work mainly studied the implementation and penetration of the green concept in bridge construction, and analyzed the main green construction techniques based on making clear the significance of bridge green construction. In this way, the objectives of implementing the green concept in bridge construction will be really achieved. It is also hoped that this work will provide some guidance and reference for the exploration of green construction in other fields of architecture.
Variable Duration Hidden Markov Model and Morphological Segmentation for Handwritten Word Recognition

The present paper describes a complet,e syst.ein for t.he recognit,ion of unconstra.ined handwrit,ten words using a Cont,inuous De1isit.y \‘aria.ble Duration Hidden Markov Model ( CD\? DHMM ). First. a new segment,a.t,ion algorithm based on mat8hematical morphology [3] is used t.0 t,ransla.te t.he 2-D image int.0 1-D sequence of sub-c11aract.er symbols. This sequence of symbols is modeled by t,he CD1‘DHMh.I. Generall! , there a.re t.wo information sources associa.t. ed with t.he writ,t.en t,ext. II’hile the sha.pe inforination of each character symbol is modeled a.s a. mixt,ure Gaussian distribution. t.he linguist,ic knowledge. i.e. constra.int. is modeled as a Ma.rkov chain. In this cont,est. the variable durat.ion st,ate is used t,o take care of the segmentmation a.mbiguity ainong the consecutive chara.cters. Some esperiinent.al resu1t.s are described to demonst.rate the success of t.he proposed scheme.
A sequential discrimination procedure for two almost identically shaped wrapped distributions

ABSTRACT The way of investigating a distribution knowing its interesting properties might be often inadequate when the shapes of two distributions are almost similar. In each of these circumstances, the accurate decision about the genesis of a random sample from any of the two parent distributions will be very much ambiguous even with the availability of the existing testing procedure of the circular data. A sequential discrimination procedure has been suggested which is also invariant to the sample size. The performance of the proposed discrimination procedure has been evaluated by checking its capability of detecting the genesis of the known samples from the two identically shaped wrapped distributions.
ROBUST ROUTING AND CROSS-ENTROPY ESTIMATION H´ el` ene Le Cadre

In this article we present a novel way to estimate the amounts of trafﬁc on the Origin-Destination couples (OD couples). This new approach combines together a routingalgorithm based on the principle of the shortest path and a recent technique of stochas-tic optimization called Cross-Entropy. The CE method was built at the origin, totackle problems of rare-event simulation. However, its inventor, R. Rubinstein, re-alized soon that the underlying idea should be applied efﬁci ently to combinatorial andmulti-extremal optimization problems.In a ﬁnal part, we adapt a particular ﬁltering algorithm in or der to be able to dynami-cally estimate the evolution of the trafﬁc on the OD couples.The aim of this report is to highlight rather original ideas, however the choices of theprior distributions and some speciﬁc parameters may be quit e arbitrary.
Unmanned vending counter abnormal behavior recognition based on YOLOv5

: In the open-door unmanned vending machine monitoring scenario, a detection scheme for multiple states of user's hand is designed to analyze the abnormal behavior during the user's shopping process, and a hand multi-state detection algorithm based on YOLOv5 is proposed. To improve the inference speed of the algorithm, the 3×3 convolution in YOLOv5 is replaced with RepVGG by using the idea of structural re-referencing. The accuracy of the algorithm is improved by adding CBAM attention mechanism. The model size is greatly reduced while ensuring the model recognition accuracy. The experimental results show that the algorithm in this paper can accurately identify the hand state of the user when shopping and has some practical application value.
1. Coordinating constructions

1.Coordination: Basic concepts and terms 1.1 Coordination 1.2 Basic patterns 1.3 Semantic types of coordination 2. The position of the coordinator(s) 3. Category-sensitivity of coordinating constructions 4. Semantic distinctions in conjunction 5. From comitative to conjunctive marker 6. Semantic maps 7. Inclusory constructions 8. Disjunction 9. Extraction from coordinating constructions 10.Ellipsis in coordination 11.Coordination and subordination/dependency
Research on the Innovation of Talent Cultivation Mode of Product Design Specialty in Higher Vocational Colleges

: Through the investigation of the current situation of the talent training mode of product design specialty in higher vocational colleges, it is found that the current talent training mode of product design specialty has some problems, such as the lack of pertinence in curriculum setting, inaccurate orientation of talent training objectives, and insufficient practical teaching conditions. Therefore, in the context of the new era, higher vocational colleges must establish a talent training system oriented by job demand, strengthen the construction of "double qualified" teachers and practical teaching conditions, optimize the curriculum structure system, pay attention to practical links, and actively promote the innovation of the talent training mode of product design in higher vocational colleges.
A Review of Maite Correa’s Article on Forensic Linguistics: An Overview of the Intersection and Interaction of Language and Law

This review article attempted to provide readers with a valuable, informative, and critical summary of a specific topic or area in the field of forensic linguistics. Maite Correa’s article entitled Forensic Linguistics: An Overview of the Intersection and Interaction of Language and Law is the subject of this study. The article presents a summary of the expansive field of forensic linguistics (FL) and shows the various ways in which the discipline might help to a criminal justice system. A synopsis of some of the most famous and widely discussed legal cases is provided, as well as an explanation of the intersections between applied linguistics and other academic fields. In a critical point of view, the author has thoroughly discussed each point of the debate. The problem of various types is mentioned and clearly analyzed. The problems were described first, followed by explanations to help readers understand the issues being discussed. Nevertheless, the article lacks compatibility, so readers might only get its explanation without knowing what kind of methodology was used to analyze the data.
Histopathology and virulence of an in vitro-adapted Trypanosoma evansi TEDC 953 strain (Thailand isolate) in mice

Background and Aim: Trypanosoma evansi is a blood and tissue protozoan parasite affecting domestic and wild animals. The T. evansi Thai strain, namely, T. evansi from dairy cattle number 953 (TEDC 953) strain, has been successfully isolated from dairy cattle and cultivated in vitro. The in vitro-cultivated parasite is useful for biological studies, evaluation of novel chemotherapeutic agents, and production of antigens for diagnostic tests. This study aimed to observe the histopathology and virulence of an in vitro-adapted T. evansi TEDC 953 strain in vivo. Materials and Methods: The histopathology and virulence of the TEDC 953 strain were clarified in mice. Six mice were infected with 1 × 105 trypomastigotes of TEDC 953 strain intraperitoneally, and four mice were in the negative control. Parasitemia was monitored daily, and the mice were euthanized on 30 days post-infection (DPI). Internal organs were collected for histopathological examination using hematoxylin and eosin staining. Results: Histopathological lesions were found in the liver, lung, heart, kidney, spleen, and brain of the inoculated mice. The main histopathological feature was lymphoplasmacytic inflammation in parenchyma and perivascular areas of multiple organs, and the severity of histopathological changes was related to the presence of trypomastigotes in the regional vessels. Granulomatous inflammation was seen in meninges, pleura, renal capsule, renal pelvis, and spleen of some infected mice. Four mice died at 17, 24, 26, and 27 DPI with an average parasitemia of 4.05 × 1011 trypomastigotes/mL. The average survival time was 23.5 DPI (mice = 4). Conclusion: This study confirmed that the TEDC 953 strain is infectious and pathogenic in mice after the continuously cultivated in vitro. To replace the use of experimental animals, the in vitro-cultivated parasite can be used instead in further studies.
A Brief Analysis of Internet of Things Security

: With the rapid development of the Internet of Things, it has brought serious security threats. IoT security technology can guarantee the sustainable and healthy development of IoT. First, this paper analyzes the concept and principle of the IoT; then, builds the architecture of the IoT security based on the security technology of each component of IoT, and analyzes the role of each component and its security protection technology; finally, analyzes the current status of IoT security, and looks forward to next working.
Holographic Wilson loops in Lifshitz-like backgrounds

In this paper, we continue to investigate nonequilibrium properties of the anisotropic quark-gluon plasma produced in heavy ion collisions within the holographic approach. We evaluate spatial Wilson loops using both static and time-dependent dual backgrounds. The anisotropic time-dependent plasma is dual to the Lifshitz-Vaidya background, while we use a black brane in the Lifshitz-like spacetime for a finite temperature plasma in equilibrium. To probe the system we calculate Wilson loops oriented in different spatial directions. We find that anisotropic effects in the Lifshitz-like backgrounds are more visible for the Wilson loops lying in the transversal plane unlike the Wilson loops with partially longitudinal orientation. We also observe that these Wilson loops are more sensitive to the parameter controlling the anisotropy of the metric. We compute the string tension and the pseudopotential at different temperatures for the static quark-gluon plasma. We also compare the thermalization times of spatial Wilson loops with the thermalization times of entanglement entropy and two-point correlation functions. We note that the thermalization of 2-point correlators is faster compared to Wilson loops, the thermalization of which is faster than the thermalization of entanglement entropy. Increasing the anisotropy we decrease the thermalization times of all these observables keeping the order of their thermalization.