Miracle-dz/UniFAR-FTUs huggingface dataset:
Method proposal for the management of geographic information in water and sewer companies

Geographic information has been used in water and sewage companies and currently has worldwide application, in rich and poor countries, from basic actions such as georeferencing points of interest to cross-referencing complex Enterprise Resource Planning (ERP) and Spatial Data Infrastructures systems together with other public services. But has the creation, use and management of this information been carried out successfully harnessed? Considering the constant changes occurred in Information Technology, in the demography of urban areas, in water and sewage systems and in corporate management, we propose a method for implementing Geographic Information Systems (GIS) for water and sewage services in metropolitan areas. Based on two models, it is possible to elaborate requirements related to the use and management of GIS and guide actions and decisions for their development, considering the organizational management of companies and the regional context in which they operate.
A Reusability Study of Vehicle Lateral Control System

SUMMARY The architecture of the PATH vehicle lateral control system is presented in this paper. The two main modules are an intelligent reference/sensing system, and an Frequency-Shaped-Linear-Quadratic/preview control algorithm. The whole lateral control system was formerly evaluated on a two-door test vehicle. It was transplanted to a four-door vehicle which is considerably different from the older two-door test vehicle in dynamic characteristics. The objective of this study is to investigate the reusability of our control system.
Ionic liquid-air interface probed by sum frequency generation spectroscopy and molecular dynamics simulation: influence of alkyl chain length and anion volume

ABSTRACT Understand the structure of the ILs/air interface on a molecular level is significant. In this work, the liquid-air interface of a class of ILs containing 1-alkyl-3-methylimidazolium cations ([Cnmim]+, n = 4, 6 and 8) was investigated by a sum-frequency generation vibrational spectroscopy experiment. The length of the alkyl chain of cations and anion type (tetrafluoroborate ([BF4]−), thiocyanate ([SCN]−), dicyanamide ([DCA]−), hexafluorophosphate ([PF6]−)) were varied to determine their intrinsic effects to the micro-structure on the interface. Meanwhile, combining with the experiment, the orientation angle and surface density for cations and anions of ILs at the air interface was analyzed by molecular dynamics simulation. It is found that the butyl side chain of cations protrudes out into the air as well as the orientation angle between the side chain and interface is 30°–50°. Meanwhile, the anion volume of ILs has almost no influence on the butyl side chain and the methyl on the side chains tend almost planar to the interface with the increased chain length. This research is highly significant for the theoretical and quantitative understanding of the interface chemistry of imidazole-based ILs.
Traditional Chinese Mind-Body Exercise Baduanjin Modulate Gray Matter and Cognitive Function in Older Adults with Mild Cognitive Impairment: A Brain Imaging Study

Background: Previous studies found traditional Chinese mind-body exercise Baduanjin could modulate cognition of community older adults. Objective: This study aims to investigate the effect of 6 months of Baduanjin exercise on brain structure and cognitive function in older adults with mild cognitive impairment (MCI). Methods: The MCI older adults were randomly assigned into either Baduanjin training, brisk walking training or usual physical activity control group. Magnetic Resonance Imaging (MRI), Montreal Cognitive Assessment (MoCA) and Wechsler Memory Scale-Chinese Revised (WMS-CR) were applied to measure gray matter volume (GMV), global cognitive ability and memory at baseline and end of intervention. Results: Compared to usual physical activity, Baduanjin exercise significantly improved MoCA, WMS-CR scores, WMS-MQ, and mental control and comprehension memory subscores of the WMS-CR; significantly increased the GMV in the temporal gyrus, frontal gyrus, parietal gyrus, medial occipital gyrus, cingulate gyrus and angular gyrus after 6 months of intervention. Compared to brisk walking, Baduanjin significantly improved MoCA scores and picture reproduction subscores of memory, and significantly increased the GMV in the right frontal gyrus, precentral gyrus, occipital gyrus. Furthermore, the increased GMV in the right medial temporal gyrus was significantly associated with improvement in the MoCA scores. Conclusion: The present study suggested that regular Baduanjin training could have a positive effect in increasing brain gray matter and improving cognitive function in older adults with MCI.
Spurious suppression of a microstrip filter using three types of rectangular PBG loops

A novel microstrip bandpass filter with three types of rectangular, photonic bandgap (PBG) loops on a middle layer was designed and demonstrated using a full-wave electromagnetic (EM) simulator, with the predicted results verified by experiment. This investigation presents the configurations of conventional parallel-coupled 2 GHz filters with arid without a PBG. The middle-layer of PBG loops adds an extra stopband-rejection mode to filter stop-band; and it provides attenuation in excess of 25 dB at the second, third, and fourth harmonics, thus demonstrating that superior stopband characteristics at high frequency can be obtained using the proposed PBG loops in microwave filters.
The application of machine learning and deep learning in sport: predicting NBA players’ performance and popularity

ABSTRACT Basketball is known for the vast amount of data collected for each player, team, game, and season. As a result, basketball is an ideal domain to work on different data analysis techniques to gain useful insights. In this study, we continued our previous study published in 2020 Computational Collective Intelligence (12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings) reviewing some important factors to predict players’ future performance and being selected in an All-Star game, one of the most prestigious events, of National Basket Association league. Besides traditional Machine Learning, Deep Learning is also applied in this study for prediction purpose. However, compared to traditional Machine Learning, Deep Learning’s performance is not as good for our dataset. It is understandable when our data are relatively small and structured with a few predictor variables which limited Deep Learning’s ability to deal with a vast amount of Big Data. Our final results, through both Regression and Classification Analysis, indicated that scoring is the most important factor from the primary players for any team and also basketball fan’s favourable style.
RNA-Sequencing-Based lncRNA Biomarker Profiling on Triple Negative Breast Cancer

: Basal-like triple-negative breast cancer (TNBC) is highly heterogeneous and lack of effective molecular targets for therapy. In this study, we developed the lncRNA signatures of TNBC as molecular biomarkers. RNA-sequencing in 12 paired breast cancer and adjacent tissues identified up-regulated and down-regulated lncRNAs of Basal subtype in contrast to Luminal A, Luminal B and HER2 subtypes. Additionally, Kaplan-Meier analysis revealed that high expression of lncRNA (ZEB1-AS1 and TMEM254-AS1) had a poor relapse-free survival rate (RFS), while high expression of lncRNA (LINC01087, LINC01122 and LINC00856) had a positive correlation with RFS. Furthermore, qRT-PCR analysis showed that the mRNA expressions of the ZEB1-AS1 and TMEM254-AS1 lncRNA were up-regulated in TNBC tissues, while the mRNA expression of lncRNA, including LINC01087, LINC01122 and LINC00856 were down-regulated in TNBC tissues. Taken together, our results elucidated that 5 novel lncRNAs, including ZEB1-AS1, TMEM254-AS1, LINC01087, LINC01122 and LINC00856 contributed to the progression of invasive TNBC. These lncRNAs could be molecular biomarkers for the development of TNBC treatment.
Enhancing supply chain security with vulnerability management and new technology

This study discusses risk management tools and the mobile enterprise factory innovation process as a motor for security enhancement using new technological solutions. New technologies provide opportunities for increasing the overall security and safety of shipments by proactive supply chain risk management and introduction of powerful security solutions. Concept development methods, risk management tools and technology expertise were combined to a process that resulted in effective business solutions for enhancing supply chain security. As practical results, this study presents a new risk assessment model, the supply chain security and technology management model, and a case study of a solution for integrity monitoring of shipments.
Reliability analysis of two frequency converter generations using system-level stress testing

Acceleration of reliability testing is required especially with products having high-reliability requirements and long-service lives. Reduction of test time can be achieved by increasing the stress level. However, this increase is restricted by the operational limits of the product, which must not be exceeded. Acceleration of test time may also be realised by using simultaneous stresses. Although the interpretation of failures in such testing can be more complicated due to concurrent failure mechanisms, it may provide important information about the interaction effects of the used stresses. In this study, the application of system-level reliability testing incorporating simultaneous environmental stresses was studied with two frequency converter models. The test method was developed using a device model with field failure data available from use conditions. This test method was then applied to a newer device model and the failure times and the failure modes were compared. The results show that by using concurrent stresses the testing time could be markedly reduced and similar failure modes were discovered in both device models that are comparable with normal use conditions. However, when a same test method is applied to two different device models, limitations such as material properties and component ratings must be taken into account.
Evolutionary state‐based novel multi‐objective periodic bacterial foraging optimization algorithm for data clustering

Clustering divides objects into groups based on similarity. However, traditional clustering approaches are plagued by their difficulty in dealing with data with complex structure and high dimensionality, as well as their inability in solving multi‐objective data clustering problems. To address these issues, an evolutionary state‐based novel multi‐objective periodic bacterial foraging optimization algorithm (ES‐NMPBFO) is proposed in this article. The algorithm is designed to alleviate the high‐computing complexity of the standard bacterial foraging optimization (BFO) algorithm by introducing periodic BFO. Moreover, two learning strategies, global best individual (gbest) and personal historical best individual (pbest), are used in the chemotaxis operation to enhance the convergence speed and guide the bacteria to the optimum position. Two elimination‐dispersal operations are also proposed to prevent falling into local optima and improve the diversity of solutions. The proposed algorithm is compared with five other algorithms on six validity indexes in two data clustering cases comprising nine general benchmark datasets and four credit risk assessment datasets. The experimental results suggest that the proposed algorithm significantly outperforms the competing approaches. To further examine the effectiveness of the proposed strategies, two variants of ES‐NMPBFO were designed, and all three forms of ES‐NMPBFO were tested. The experimental results show that all of the proposed strategies are conducive to the improvement of solution quality, diversity and convergence.
Model Bantu Deteksi Masker Sebagai Pencegahan Virus Covid- 19 Pada New Normal Bagi Penyandang Tunanetra

Wabah pneumonia baru-baru ini yang disebabkan oleh coronavirus(COVID-19) menunjukkan risiko luar biasa terhadap kesehatan masyarakat dunia. Virus Covid-19 juga berdampak pada penyandang tunanetra. Namun alat yang mendukung tunanetra dalam menghadapi virus Covid-19 masih terbatas. Penelitian ini bertujuan untuk membantu penyandang tunanetra agar dapat mengetahui orang di sekitarnya menerapkan protokol kesehatan dengan memakai masker dan menjaga jarak, serta pengasuh dapat melakukan pengawasan lokasi dan kondisi penyandang tunanetra melalui smartphone. Metode deteksi yang digunakan pada penelitian ini menggunakan Convolutional Neural Network (CNN). Dengan menggunakan Tensorflow sebagai framework deep learning yang mampu mengenali dan mengklasifikasi suatu objek. Langkah pertama adalah mengumpulkan dataset jenis-jenis masker yang sering digunakan masyarakat, dilanjutkan representasi dataset sebelum dimodelkan ke dalam perhitungan matematis yang nantinya akan diolah menggunakan metode CNN dengan arsitektur MobileNet-V2. Hasil pembelajaran mesin deteksi masker mendapatkan akurasi sebesar 98%. Sistem deteksi masker dan estimasi jarak akan diimplementasikan pada Raspberry Pi dan mendapatkan FPS sebesar 0,33. Hasil klasifikasi deteksi masker dan estimasi jarak akan diterima pengguna melalui earphone. Sistem pengawasan pada alat ini yaitu pengasuh dapat melakukan monitoring secara real time suhu badan, keadaan dan lokasi keberadaan penyandang tunanetra melalui aplikasi smartphone. Pada aplikasi tersebut dilengkapi dengan API Google Maps sehingga dapat menampilkan lokasi penyandang tunanetra.
Quality management in new automotive supply chains: a study of select Indian auto component SMEs

As the Indian auto component industry has matured, SMEs have emerged as strong contributors to the overall output of this industry in the country and have a significant share in the exports of the industry. The present paper aims to study the extent of quality management implementation in Indian auto component SMEs and to further examine the association between organisational cultural values and the extent of quality management principles practiced in this sector. Results indicate a higher level of implementation of all quality principles in these SMEs. In addition, values of organisational culture and principles of quality management were found interrelated; however, each dimension of culture is related to seven quality management principles in different manner.
Cooperative Multi-Objective Optimization of DC Multi-Microgrid Systems in Distribution Networks

By constructing a DC multi-microgrid system (MMGS) including renewable energy sources (RESs) and electric vehicles (EVs) to coordinate with the distribution network, the utilization rate of RESs can be effectively improved and carbon emissions can be reduced. To improve the economy of MMGS and reduce the network loss of the distribution network, a cooperative double-loop optimization strategy is proposed. The inner-loop economic dispatching reduces the daily operating cost of MMGS by optimizing the active power output of RESs, EVs, and DC/AC converters in MMGS. The outer-loop reactive power optimization reduces the network loss of the distribution network by optimizing the reactive power of the bidirectional DC/AC converters. The double-loop, which synergistically optimizes the economic cost and carbon emissions of MMGS, not only improves the economy of MMGS and operational effectiveness of the distribution network but also realizes the low-carbon emissions. The Across-time-and-space energy transmission (ATSET) of the EVs is considered, whose impact on economic dispatching is analyzed. Particle Swarm Optimization (PSO) is applied to iterative solutions. Finally, the rationality and feasibility of the cooperative multi-objective optimization model are proved by a revised IEEE 33-node system.
A Systematic Literature Review on the Automatic Creation of Tactile Graphics for the Blind and Visually Impaired

Currently, a large amount of information is presented graphically. However, visually impaired individuals do not have access to visual information. Instead, they depend on tactile illustrations—raised lines, textures, and elevated graphics that are felt through touch—to perceive geometric and various other objects in textbooks. Tactile graphics are considered an important factor for students in the science, technology, engineering, and mathematics fields seeking a quality education because teaching materials in these fields are frequently conveyed with diagrams and geometric figures. In this paper, we conducted a systematic literature review to identify the current state of research in the field of automatic tactile graphics generation. Over 250 original research papers were screened and the most appropriate studies on automatic tactile graphic generation over the last six years were classified. The reviewed studies explained numerous current solutions in static and dynamic tactile graphics generation using conventional computer vision and artificial intelligence algorithms, such as refreshable tactile displays for education and machine learning models for tactile graphics classification. However, the price of refreshable tactile displays is still prohibitively expensive for low- and middle-income users, and the lack of training datasets for the machine learning model remains a problem.
Plastic Deformation of Plagioclase in Oceanic Gabbro Accreted at a Slow‐Spreading Ridge (Hole U1473A, Atlantis Bank, Southwest Indian Ridge)

Crustal architecture at slow‐spreading oceanic ridges results from complex interactions between magmatism, hydrothermalism, and tectonics. IODP Hole U1473A was drilled during Expeditions 360 and 362T at the summit of the Atlantis Bank, a gabbroic massif exhumed at the Southwest Indian Ridge. In this study, we identify and quantify plastic deformation processes in gabbroic lithologies and active slip systems in plagioclase from 115 microstructural domains throughout Hole U1473A. We describe deformed zones using petrographic observations and electron backscattered diffraction analyses made all along the core. Ductile deformation is widespread, and in places strongly localized in mylonitic and ultramylonitic zones. Plagioclase represents ∼60% of rock's volume and is the dominant phase accommodating deformation in samples. It shows strong dynamic recrystallization accommodated by subgrain rotation in the dislocation creep regime, forming a fine‐grained matrix. Electron backscattered diffraction analyses reveal weak to moderate crystallographic preferred orientations of plagioclase as a result of plastic deformation and strain localization, producing a fabric characterized by (010) parallel to the foliation plane and [100] parallel to the lineation. The fabric strength is first increasing from slightly deformed lithologies to mylonites before decreasing significantly in ultramylonites. This could be explained by orientation scattering after recrystallization, and a change of active slip systems. Subsequent granular flow has likely occurred in some samples. A detailed investigation of intracrystalline misorientations measured at plagioclase subgrain boundaries reveals the activity of four dominant slip systems: [001](010), [100](001), ½[110](001), and ½[ 11¯0 ](001). These slip systems reflect decreasing temperatures during CPO development and subgrain wall formation.
A single cell penetration system by ultrasonic driving

The researches of single cell's control and operation are the hotspots in whole world. Among the various technologies, the transmission of ectogenic genetic materials between cell membrane is very significant. Imitating the Chinese traditional acupuncture therapy, a new ultrasonic resonance driving method, is imported to drive a cell's penetration probe. A set of the single cell penetration system was established to perform this function. This system includes four subsystems: driving part, micromanipulation part, observation and measurement part, and actuation part. Some fish egg experiments indicate that this system is workable and effective.
A novel temperature-compensating structure for micromechanical bridge resonator

A novel temperature-compensating structure for micromechanical bridge resonators has been developed in this paper. The temperature drift of resonance frequency is compensated by the output voltage of a Si/SiO2 bilayer cantilever temperature sensor, which is integrated in the same chip with the bridge resonator. The mechanism of this kind of temperature sensor resembles that of commercial bimetallic temperature sensors. The deformation of the cantilever measured by a Wheatstone bridge located at the clamped end changes with temperature due to the different thermal expansion coefficients of silicon and silicon dioxide. Both the bridge and the cantilever are of the same thickness and are fabricated simultaneously with the same materials and by an identical process flow. So there are few errors caused by the temperature difference between the temperature sensor and the resonator itself, which occurs during fast temperature changes.
The Contribution of Hand Loads to Cervical Disc Compression

Twenty male and female subjects participated in an experiment to measure the activity in neck muscles above C6/C7 resulting from loads held in the hands. Integrated electromyographs (EMGs) were measured for the spenius, levator scapula, and trapezius (two locations) muscles using surface electrodes. Subjects held no load, five pounds, and ten pounds in each hand with the arms hanging at rest, extended in front of the body, or extended to the sides. The results showed that integrated EMG levels increased as the loads in the hands increased. In addition, signals were larger for loads held to the side of the body as compared to the front of the body, and both of these conditions were much larger than for loads held with the arms hanging. The results demonstrate that loads held in the hands add to the compressive force acting on cervical intervertebral discs and contribute to musculoskeletal injury.
On the modelling of vehicle‐road interaction

During the last years axle loads and demand for transport have been increasing steadily. Although a lot of experimental data exists on the corrugation of roads by heavy vehicles, basic investigations concerning vehicle‐road interaction are still necessary to improve the understanding of the process. Therefore, a simple model is built which will allow for some analytical reflections. The road exhibits viscoelastic and plastic characteristics whereas the vehicle is approximated as a simple quarter car model. Results of long term simulations are presented. (© 2009 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Operating Frequency Prediction of Piezoelectric DC–DC Converters

Piezoelectric dc–dc converters operate between the series and parallel frequencies of the piezoelectric resonator to achieve soft switching and energy-balance conditions. This letter presents an experimentally validated model to accurately predict the operating frequency, the switching angles, and the piezoelectric current for any six-phase piezoelectric dc–dc converter. This model reduces the transient simulation's calculation time to reach the steady state. It can be used to initially setup the switching angles in the experiment or to predict the high-frequency spectrum generated by the converter cycle.