Miracle-dz/UniFAR-FTUs huggingface dataset:
PM2.5 Forecast System by Using Machine Learning and WRF Model, A Case Study: Ho Chi Minh City, Vietnam

Predicting has necessary implications as part of air pollution alerts and the air quality management system. In recent years, air quality studies and observations in Vietnam have shown that pollution is increasing, especially the concentration of PM2.5. There are warnings about excessively high concentrations of PM2.5 in the two major cities of Vietnam as Ho Chi Minh City and Hanoi. Projections for PM2.5 concentrations in these cities will provide short-term predictive data on air quality. Using the WRF model to forecast PM2.5 in Ho Chi Minh City is new research for providing forecast information on air pollution. Experiments with six machine learning algorithms show that the Extra Trees Regression model gives the best forecast with statistical evaluation indicators including RMSE = 7.68 μg m–3, MAE = 5.38 μg m–3, R-squared = 0.68, and the confusion matrix accuracy of 74%. The experimental setting of the Extra Trees Regression algorithm to predict PM2.5 for the next two days with WRF's simulated meteorological data compared with the forecast with observed data showing high accuracy of over 80%. The results show that machine learning with the WRF model can predict PM2.5 concentration, suitable for early warning of pollution and information provision for air quality management system in large cities as Ho Chi Minh City.
Rigid formations of autonomous agents

This thesis addresses rigid formations of autonomous agents. A key element in all future multi-agent systems will be the role of sensor and communication networks as an integral part of coordination. Network topologies are critically important for autonomous systems involving mobile underwater, ground and air vehicles and for sensor networks. This thesis focuses on developing techniques and strategies for the analysis and design of sensor and network topologies required to achieve a rigid formation for cooperative tasks. We address using different types of information, such as distances, directions, bearings, and angles between agents, to maintain rigid formations. Energy efficiency and communication bandwidth are critically important in formations of mobile autonomous agents, and hence strategies that make efficient use of power and energy are beneficial. Therefore, we develop topologies for providing sensing and communications with the minimum number of links, and propose methods requiring the minimum number of changes in the set of links in dynamic missions and maneuvers, including agent departure from a rigid formation, splitting a rigid formation and merging rigid sub-formations. To do this in a systematic manner, it is necessary to develop a framework for modeling agent formations that characterizes the communication/sensing links needed to maintain the formations. The challenge is that a comprehensive theory of such topologies of formations with sensing/communication limitations is in the earliest stage of development. We propose to use triangulations for creating sensing/communication links between agents. We address their local properties in rigidity. In particular, we propose to use the Delaunay triangulations. We address their geometric properties that are useful in formations. We also address and formulate the localization problem in sensor networks and formations of multiple mobile autonomous agents. Then we propose to use global rigidity in the study of this problem. Central to the development of these techniques and strategies will be the use of tools from rigidity theory, discrete and computational geometry, CAD programming and graph theory.
Study on the Antioxidant and Anticancer Activities of Sorbus pohuashanensis (Hance) Hedl Flavonoids In Vitro and Its Screen of Small Molecule Active Components

Abstract Firstly, the antioxidant capacity of total flavonoids that was extracted from Sorbus pohuashanensis (Hance) Hedl was determined by ABTS+·radical-scavenging method, and MTT assay was used to mensurate the anti-tumor activity of total flavonoids In Vitro. Subsequently, the extraction conditions of flavonoids were optimized by the response surface methodology, the antioxidant activity was investigated simultaneously. Furthermore, the anti-tumor activity mechanism of flavonoids was simulated by molecular docking software. The antioxidant activity of flavonoids was correlated with the content in the process of optimizing the extraction condition. Moreover, The MTT assay revealed that SPF inhibited the activity of four sorts of cancer cells and positively correlated with the concentration of total flavonoids. And the experimental data demonstrated its anticancer activity was better at high concentrations. Finally, its anti-tumor activity was found that may be related to small molecules from flavonoids bind the apoptotic proteins Caspase-3, Caspase-8, and Caspase-9. The study could provide a theoretical basis for further pharmacodynamic research of Sorbus pohuashanensis (Hance) Hedl flavonoids, and improved a valuable attribute to Sorbus pohuashanensis (Hance) Hedl.
Machinery Failure Analysis and Troubleshooting: Practical Machinery Management for Process Plants

Solve the machinery failure problems costing you time and money with this classic, comprehensive guide to analysis and troubleshooting Provides detailed, complete and accurate information on anticipating risk of component failure and avoiding equipment downtime Includes numerous photographs of failed parts to ensure you are familiar with the visual evidence you need to recognize Covers proven approaches to failure definition and offers failure identification and analysis methods that can be applied to virtually all problem situations Demonstrates with examples how the progress and results of failure analysis and troubleshooting efforts can be documented and monitored Failures of machinery in a plant setting can have wide-ranging consequences and in order to stay competitive, corporations across all industries must optimize the efficiency and reliability of their machinery. Machinery Failure Analysis and Troubleshooting is a trusted, established reference in the field, authored by two well-known authorities on failure and reliability. Structured to teach failure identification and analysis methods that can be applied to almost all problem situations, this eagerly awaited update takes in the wealth of technological advances and changes in approach seen since the last edition published more than a decade ago. Covering both the engineering detail and management theory, Machinery Failure Analysis and Troubleshooting provides a robust go-to reference and training resource for all engineers and managers working in manufacturing and process plants. Provides detailed, complete and accurate information on anticipating risk of component failure and avoiding equipment downtime Presents documented failure case studies and analyzes the procedures employed to define events that led to component or systems failure Includes numerous photographs of failed parts to ensure readers are familiar with the visual evidence they need to recognize
Role of Sex on the Genetic Susceptibility to Childhood Asthma in Latinos and African Americans

Asthma is a respiratory disease whose prevalence changes throughout the lifespan and differs by sex, being more prevalent in males during childhood and in females after puberty. In this study, we assessed the influence of sex on the genetic susceptibility to childhood asthma in admixed populations. Sex-interaction and sex-stratified genome-wide association studies (GWAS) were performed in 4291 Latinos and 1730 African Americans separately, and results were meta-analyzed. Genome-wide (p ≤ 9.35 × 10−8) and suggestive (p ≤ 1.87 × 10−6) population-specific significance thresholds were calculated based on 1000 Genomes Project data. Additionally, protein quantitative trait locus (pQTL) information was gathered for the suggestively associated variants, and enrichment analyses of the proteins identified were carried out. Four independent loci showed interaction with sex at a suggestive level. The stratified GWAS highlighted the 17q12-21 asthma locus as a contributor to asthma susceptibility in both sexes but reached genome-wide significance only in females (p-females < 9.2 × 10−8; p-males < 1.25 × 10−2). Conversely, genetic variants upstream of ligand-dependent nuclear receptor corepressor-like gene (LCORL), previously involved in height determination and spermatogenesis, were associated with asthma only in males (minimum p = 5.31 × 10−8 for rs4593128). Enrichment analyses revealed an overrepresentation of processes related to the immune system and highlighted differences between sexes. In conclusion, we identified sex-specific polymorphisms that could contribute to the differences in the prevalence of childhood asthma between males and females.
CMOS layout and bias optimization for RF IC design applications

High frequency and low noise performance of 0.8 /spl mu/m polysilicon gate CMOS device has been analyzed intensively with the various multi-finger polysilicon gate layout and bias to find the optimal condition. From the analysis, the optimal width of unit gate finger and bias condition have been found to maximize f/sub max/ and minimize F/sub min/. At the conditions, F/sub min/, gain and noise resistance characteristics of large width transistors are also analyzed.
Identification of Scopoletin and Chlorogenic Acid as Potential Active Components in Sunflower Calathide Enzymatically Hydrolyzed Extract towards Hyperuricemia

It is known that sunflower (Helianthus annuus L.) calathide enzymatically hydrolyzed extract (SCHE) contributes to the regulation of serum uric acid (UA); however, evidence regarding its bioactive components and mechanism are lacking. We identified two water-soluble components (scopoletin and chlorogenic acid) that are abundant in sunflower calathide, especially evaluated for the inhibition of xanthine oxidase (XO) and the expression levels of urate transporters with SCHE. Molecular docking of a chlorogenic acid–XO complex was more stable than that of the Scopoletin–XO, and its binding pockets, which closed the Mo = S center, was similar to xanthine pockets. Moreover, chlorogenic acid exhibited stronger inhibition than that of the scopoletin below 260 μM, despite the IC50 of scopoletin (577.7 μM) being lower than that chlorogenic acid (844.7 μM) on the UA generation assessed by a spectrophotometer in vitro. It revealed that chlorogenic acid and scopoletin were competitive inhibitors of XO. In addition, the SCHE (300 μg/mL) and chlorogenic acid (0.75 mM) obviously inhibited urate transporter 1 (URAT1) and glucose transporter 9 (GLUT9) expression levels, while scopoletin significantly upregulated the expression of GLUT9. To summarize, chlorogenic acid served a crucial role in UA regulation consistent with the SCHE and functioned as an important ingredient of SCHE. The strategic analysis of SCHE combined with scopoletin and chlorogenic acid may contribute to the development of food supplemental alternatives on UA metabolism and the reduction of agricultural byproduct waste.
Evaluation of Digital X-Ray Detectors for Medical Imaging Applications

Digital x-ray detectors are now the detector of choice in many X-ray examinations. They have been accepted into clinical practice over the past decade but there are still ongoing developments in the technology. Complementary metal oxide semiconductor (CMOS) active pixel sensors (APS) are a novel digital technology that offers advantages compared to some of the more established approaches (charge-coupled devices (CCD), thin film transistor arrays (TFT) and CMOS passive pixel sensors (PPS)). This thesis looks at the performance of these new sensors and attempts to identify their role in future medical imaging applications. Standard electro-optical and x-ray performance evaluations of two novel CMOS APS, namely the large Area Sensor (LAS) and Dexela CMOS x-ray detector, are presented. The evaluation was made in terms of the photon transfer curve (PTC), the modulation transfer function (MTF), the normalized noise power spectrum (NNPS) and the resultant detective quantum efficiency (DQE). Modifications were introduced to extend the standard methods to overcome technical limitations. The performance of these detectors was compared to three commercial systems (Remote RadEye HR (CMOS APS), Hamamatsu C9732DK (CMOS PPS) and Anrad SMAM (a-Se TFT)) at beam qualities (28 kV for mammography and 52 kV and 74 kV for general radiography) based on the IEC standards. Both the LAS and Dexela CMOS detectors demonstrate enhanced performance. The effect of the CMOS APS inherent nonlinearity on the x-ray performance was also evaluated. Finally, the measured performance parameters were used to simulate images for different mammographic imaging tasks in order to establish possible areas of application for the new sensors. Two software phantoms (one representing a 3-D breast and the other the CDMAM test tool) were used to simulate a range of mammographic conditions. The results show that both novel CMOS APS detectors offer high image quality compared to the commercial detector systems.
The Layered Virtual Reality Commerce System (LaVRCS): An Approach to Creating Viable VRCommerce Sites

In this paper, the authors argue that Virtual Reality (VR) does have a place in an e-commerce environment. However, VR is not yet ready to supplant standard e-commerce Web interfaces with a completely immersive VR environment. Rather, Virtual Reality in e-commerce (VRCommerce) must rely on a mixed platform presentation to account for various levels of usability, user trust, and technical feasibility. The authors propose that e-commerce sites that want to implement VRCommerce offer at least three layers of interaction to users: a standard Web interface, embedded VR objects in a Web interface, and semi-immersive VR within an existing Web interface. This system is termed the Layered Virtual Reality Commerce System, or LaVRCS.
Endogenous selection into single and coauthorships by surname initials in economics and management

Many prior studies suggest that alphabetic ordering confers professional advantages on authors with earlier surname initials. However, these studies assume that authors select into coauthorships without regard to the incentives identified. We consider the alternative and develop a model of endogenous selection into single and coauthorships for economics, which uses alphabetical ordering. We then tested it with authorship data from economics, with management (which does not use alphabetical ordering) as a benchmark. We predicted that lower “quality” authors with earlier surnames would be less desirable as coauthors, while higher quality authors with later surnames would have a lower desire to coauthor. Both types of authors are therefore more likely to single- author. Furthermore, higher quality authors with earlier surnames should have more and better coauthoring options. Consistent with our predictions, we found citation ranks were increasing on surnames for single-authored works and decreasing for coauthored in economics, both absolutely and compared to management. Also as predicted, this effect is driven by lower-tier journals in which there is likely a thinner market for coauthors. Furthermore, comparing citation ranks of first-authors of alphabetical and nonalphabetical papers shows that the “larger share” effect of being first is dominated by the “smaller pie” effect of selection from second authors who will accept a smaller share.
Influencing Factors and Prevention of Sepsis or Acute Kidney Injury in 85 Patients with Severe Trauma

Severe trauma can cause systemic reactions, leading to massive bleeding, shock, asphyxia, and disturbance of consciousness. At the same time, patients with severe trauma are at high risk of sepsis and acute renal injury. The occurrence of complications will increase the difficulty of clinical treatment, improve the mortality rate, and bring heavy physical and mental burdens and economic pressure to patients and their families. It is of great clinical significance to understand the high risk factors of sepsis and AKI and actively formulate prevention and treatment measures. In this study, the clinical data of 85 patients with severe trauma were analyzed by univariate and multivariate logistic regression to identify the risk factors leading to sepsis or AKI and analyze the prevention and treatment strategies. The results showed that multiple injuries, APACHE II score on admission, SOFA score on admission, and mechanical ventilation were independent influencing factors of sepsis in patients with severe trauma, while hemorrhagic shock, APACHE II score on admission, CRRT, and sepsis were independent influencing factors of AKI in patients with severe trauma. Severe trauma patients complicated with sepsis or AKI will increase the risk of death. In the course of treatment, prevention and intervention should be given as far as possible to reduce the incidence of complications.
FRAGMENTASI PARTAI-PARTAI ISLAM PASCA ORDE BARU

Spektrum politik Indonesia diwarnai oleh pergulatan elit politik yang terpilah dalam banyak kelompok, Kelompok islam dan yang memakai simbol-simbol islam merupakan salah-satu kelompok yang ikut andil dalam pertarungan politik, ketika orde baru masih eksis, partai yang ada hanya terdapat tiga partai yaitu Golkar, PDI dan PPP. Dari ketiga partai tersebut yang berafiliasi dan bernafaskan islam hanya PPP. Namun begitu bola reformasi menggelinding maka PPP melahirkan partai-partai islam lainnya, semisal PKB, PBB, PKS dan lainnya, Khusus kasus politik islam pasca orde baru Kaum formalis memang meluncurkan partai-partai islam formal. Bahkan PPP yang semula berasaskan pancasila berganti berasaskan Islam, dan gambar ka’bah menggantikan gambar bintang segi lima, tetapi dari sejumlah partai yang menjamur di pasca orde baru, hanya ada satu partai yang menjadi dambaan dan tetap melekat di hati kaum santri yaitu Partai Persatuan Pembangunan.
Effective boundary conditions for the time-domain analysis of the EMC performances of fiber composites

An efficient model is proposed for the analysis of the shielding performances of fiber reinforced composites against transient electromagnetic plane waves. The non-homogeneous material is simulated by an equivalent non-uniform anisotropic slab, characterized by proper tensors of effective permittivity and conductivity. The analysis of the field propagation through the effective panel is carried out in the frequency-domain, in order to compute the transmission and surface impedance matrices of the panel. The time-domain effective boundary conditions, which describe the relations among the TE and TM field components tangential to the external faces of the slab, are expressed in terms of the transient transmission and surface impedance matrices. The model is implemented in a three-dimensional finite-difference time-domain procedure and is applied to the analysis of the field penetration inside a composite box illuminated by an impulsive plane wave.
Post Disaster Illumination for Underground Mines

Lighting systems provide mine workers improved visibility and contribute to improved safety, productivity, and morale. Lighting is critical to miners, since they depend heavily on visual cues to spot fall of ground, pinning & striking and slipping & tripping hazards. Most conventional systems of lighting are used in mines are extracting a lots of power and deal with major maintenance problems. Apart from the conventional grid-power lighting systems, additional emergency lighting system using green energy is mandatory in case of grid-power failure or in disaster situation of the underground mines. The luminous efficacy increases with switching frequency while providing eye comfort to user. Even though CFL has low power consumption for solar photovoltaic (SPV) power system, but CFL’s electrical requirements are not easily met by hard-switched inverters due to their higher switching losses at higher frequencies and preheat and ignition voltage of CFL results lower efficiency. This paper demands well suited high frequency inverter and a series interrupting type charge controller for illumination at remote areas. DOI: http://dx.doi. org/10.11591/telkomnika.v13i3. 7069
Empowering IT entrepreneurships: what's the contribution of business incubators?

Este artigo tem como tema a analise da contribuicao das incubadoras para o desenvolvimento de empreendimentos em TI, sendo entao realizado um estudo em profundidade nas 3 incubadoras especializadas em TI do Estado de Minas Gerais. Gerentes das incubadoras e empresarios incubados e ja graduados foram entrevistados a respeito da estrutura e do apoio oferecidos pelas incubadoras, interacao com universidades e centros de pesquisa, e sobre a capacitacao gerencial oferecida aos empresarios. Os resultados apontam para a necessidade de uma atuacao mais proficua das incubadoras, fundamentalmente na prospeccao de clientes, busca por recursos financeiros e relacionamento com universidades e centros de pesquisa, principalmente no que tange a transferencia de tecnologia.
THE RELEVANCE OF INTIMACY WITH MY INTELLIGENT VIRTUAL ASSISTANT

Artificial intelligence (AI) to machines with software and algorithm that can think and perform tasks like humans. AI can dynamically change various aspects of people’s lives, both in business and in a personal context (Loureiro, Guerreiro, & Tussyadiah, 2021; Romero et al., 2021). This technology functions through automation and continuous learning, and the main characteristic that makes it so life-changing and extremely popular is its level of personalization (Kumar et al ., 2019). “AI seeks to simplify communication between humans and machines by means of natural language” (Pantano & Pizzi, 2020, p. 3). AI-powered voice assistants, or Intelligent Virtual Assistants (IVA), such as Amazon Alexa, Apple Siri, Google Assistant and others, represent a very relevant subject to research, due to its growth in the most recent years. These smart devices are changing people's daily routine, by completing tasks for them, searching for information, making purchases online, through a simple voice command. In addition, their characteristics and features which make them so human-like, such as their voice, the natural language and the fact that they personalize the content taking into account the user's interests and behaviours (McLean & Osei-Frimpong, 2019), can encourage users to bond with them (Schweitzer et al ., 2019). IVA, through machine learning, can better adapt and personalize throughout time, by learning the user’s interests and preferences (Bishop, 2006). Therefore, these smart devices, due to their friend-like characteristics, encourage users to develop feelings like brand warmth and attachment.
New support perspectives and contracting methodologies for the consolidated automated support system (CASS)

Development of novel and innovative ATE support concepts is evidenced by the Consolidated Automated Support System (CASS) Maintenance Support Pool (MSP), Direct Vendor Delivery (DVD), and Consolidated Support Pool (CSP) programs. These initiatives have simultaneously reduced total ownership costs to the Navy, improved operational readiness, and provided sufficient return on investment for the contractor. The migration of MSP to DVD to CSP has allowed the contractor to compile data required for determining trends, usage, and failure data. An important factor in ensuring success is the long-term commitment by the Navy and the contractor. This paper outlines support business process re-engineering required to affect cultural change.