Miracle-dz/UniFAR-FTUs huggingface dataset:
Minimal Capacitor Voltage Ripple Control for the Modular Multilevel Converter Based Wind Energy Conversion System

Owing to the demand for larger wind turbine generators, the megawatt wind energy conversion system using the modular multilevel converter (MMC) has shown great potential in this area. However, the capacitor voltage of this topology is floating, whi0ch leads to the requirement of large capacitor and the increment of project cost. This paper proposes a minimal capacitor voltage ripple (MCVR) control for the MMC-based wind energy conversion system. In the method, the second and third harmonic components of the capacitor voltage are controlled to counteract its fundamental component. With the proposed MCVR control, the capacitor voltage ripple can be reduced without influencing the maximum power point tracking of the wind energy conversion system. Finally, the effectiveness of the proposed method is validated in MATLAB/Simulink.
A Trimodal Wireless Implantable Neural Interface System-on-Chip

A wireless and battery-less trimodal neural interface system-on-chip (SoC), capable of 16-ch neural recording, 8-ch electrical stimulation, and 16-ch optical stimulation, all integrated on a 5 × 3 mm2 chip fabricated in 0.35-μm standard CMOS process. The trimodal SoC is designed to be inductively powered and communicated. The downlink data telemetry utilizes on–off keying pulse-position modulation (OOK-PPM) of the power carrier to deliver configuration and control commands at 50 kbps. The analog front-end (AFE) provides adjustable mid-band gain of 55–70 dB, low/high cut-off frequencies of 1–100 Hz/10 kHz, and input-referred noise of 3.46 μVrms within 1 Hz-50 kHz band. AFE outputs of every two-channel are digitized by a 50 kS/s 10-bit SAR-ADC, and multiplexed together to form a 6.78 Mbps data stream to be sent out by OOK modulating a 434 MHz RF carrier through a power amplifier (PA) and 6 cm monopole antenna, which form the uplink data telemetry. Optical stimulation has a switched-capacitor based stimulation (SCS) architecture, which can sequentially charge four storage capacitor banks up to 4 V and discharge them in selected μLEDs at instantaneous current levels of up to 24.8 mA on demand. Electrical stimulation is supported by four independently driven stimulating sites at 5-bit controllable current levels in ±(25–775) μA range, while active/passive charge balancing circuits ensure safety. In vivo testing was conducted on four anesthetized rats to verify the functionality of the trimodal SoC.
NOOP: An IoMT System for Notifying Public Security Issues and Increasing Police Patrol Coverage

Although public security is still one of the major problems in most large cities, uninterrupted overt patrolling and rapid police intervention have been identified as effective mechanisms to combat street theft and crime. However, several police departments do not have access to technologies for reliable data communication and workforce management to be notified about occurrences and effectively respond to them. This paper presents the design and evaluation of NeighborhOOd Patrolling (NOOP), an open-source Internet of Mobile Things system for notifying public security issues and increasing police patrol coverage. This tool is being used as an initial version for the “Segurança Presente 5.0” overt patrolling initiative in the city of Rio de Janeiro, Brazil.
Integration of photogrammetry within laser scanning approach

This article is focused on photogrammetry and its basic parameters for achieving the highest quality output and subsequent application in practice with 3D scanner interconnection. Photogrammetry along with 3D digital spatial scanning is nowadays in demand. Output is more than just a 3D model. It is the actual state of the photographed and scanned object, which is accurate to one thousandths of a millimeter. This procedure is used mainly for the reconstruction of historical buildings, statues, sculptures, but also for the construction of new projects. Photogrammetry consists of several methods and procedures that are directly influenced by software and hardware. The main fields of application are construction, urbanism, forensic science, medical industry, aerospace industry. Photogrammetry can be used in small as well as in complex projects to create visualization of changes created by human or natural activity.
Change of Cathodoluminescence Spectra of Dimonds Irradiated by Electron Beam

Here we investigate the changes in the cathodoluminescence spectra of HPHT diamonds irradiated by electron beam at the room temperature (298 K) and liquid nitrogen temperature (77K). The temperature of diamond samples was varied from 80 to 300 K. The RADAN-220-IMA3-150E accelerator was used as a source of electrons (120 keV). For temperature control we used platinum thermo-resistor. All experiments were conducted in the vacuum chamber (10−2 Pa). Optical spectra of diamonds cathodoluminescence were recorded ever ~ 30 K and then compared with each other.
The G-Protein Linked Receptor Facts Book

Superfamily of Seven Transmembrane Proteins: Acetylcholine. Adenosine and Adenine Nucleotides. Adrenaline and Noradrenaline. Angiotensin. Bombesins. Bradykinin. C5a Anaphylatoxin. Calcitonin. Calcitonin-Gene Related Peptide and Amylin. Cannabinoid. Chemokines. Cholecystokinin (CCK) and Gastrin. Dopamine. Endothelin. Formyl-Methionyl Peptides. GABA. Galanin. Glucagon. Glucagon-like Peptide 1. Glutamate. Glycoprotein Hormones. Gonadotropin-Releasing Hormone. Histamine. 5-Hydroxytryptamine. Leukotrienes. Melanocortins. Melatonin. Neuropeptide Y. Neurotensin. Odorant Receptors. Opioid Peptides. Opsins. Orphan Receptors. Parathyroid Hormone. Platelet Activating Factor. Prostanoids. Somatostatin. Tachykinins. Taste Receptors. Thrombin. Thyrotropin-Releasing Hormone. Vasoactive Intestinal Polypeptide Family. Vasopressin and Oxytocin. Viral and Other Nonmammalian
Towards an Agile Framework for Business Intelligence Projects

Business Intelligence (BI) solutions provide decision makers with information about their business and beyond as a utility to help them to make better decisions for their business purpose. Establishing such a BI system in a company can often be very complex and may end up in a financial disaster due to cancelling the project because of no valuable output after a specific time. Complex technologies, different stakeholders from various domains in a company, and vague requirements are often the initial situation for a BI project and reasons for delayed project delivery. Thus, being flexible and adaptable in the project are key factors for success. An agile approach can be the answer for a successful BI project. This paper deals with a conceptional agile framework for such a project. The focus is put on identifying yet unspecific or unknown aspects during a starting phase of a BI project.
Circularly Polarized Fabry–Perot Resonant Cavity based on Frequency Selective Surface

This paper designs a circularly polarized Fabry-Perot antenna based on FSS loading. The FSS is composed of a dielectric substrate and two printed metal layers, which are etched on the top and bottom layers of the substrate. The two metal layers are composed of a patch layer and a square loop slot layer. The partially reflecting surface is composed of 8×8 FSS units, and is placed at a distance h from the feed. And the overall size of the proposed CP F-P antenna designed in this paper is about 1. 5λ0 × 1. 5λ0 × 0. 5λ0. The actual measured impedance bandwidth is 22.2%, the axial ratio bandwidth is 4.3%, and the maximum gain is 10.4 dB.
A Deep Learning Approach for Multi-Depth Soil Water Content Prediction in Summer Maize Growth Period

Advance knowledge of soil water content (SWC) in the soil wetting layer of crop irrigation can help develop more reasonable irrigation plans and improve the efficiency of agricultural irrigation water use. To improve the accuracy of predicting SWC at multiple depths, the ResBiLSTM model was proposed, in which continuous meteorological and SWC data were gridded and transformed as model inputs, and then high-dimensional spatial and time series features were extracted by ResNet and BiLSTM, respectively, and integrated by a meta-learner. Meteorological, SWC and growth stage records data from seven typical maize monitoring stations in Hebei Province, China, during the 2016–2018 summer maize planting process were utilized for the training, evaluation and testing of the ResBiLSTM model, with model prediction targets set at 20cm, 30cm, 40cm and 50cm depths. Experimental results showed that: 1) ResBiLSTM model could achieve better model fit and prediction of meteorological and SWC data at all growth stages, with R2 within [0.818, 0.991], average MAE within [0.79%, 2.00%], and the overall prediction accuracy ranked as follows: anthesis maturity stage > seedling stage > tassel stage; 2) The average MSE of the ResBiLSTM model for the prediction of SWC in the next 1–6 days was within [3.91%, 15.82%], and the prediction accuracy decreased with the extension of the prediction time; 3) Compared with the classical machine learning model and related deep learning models, the ResBiLSTM model was able to obtain better prediction accuracy performance.
Epigenetic modification‐dependent androgen receptor occupancy facilitates the ectopic TSPY1 expression in prostate cancer cells

Testis‐specific protein Y‐encoded 1 (TSPY1), a Y chromosome‐linked oncogene, is frequently activated in prostate cancers (PCa) and its expression is correlated with the poor prognosis of PCa. However, the cause of the ectopic transcription of TSPY1 in PCa remains unclear. Here, we observed that the methylation status in the CpG islands (CGI) of the TSPY1 promoter was negatively correlated with its expression level in different human samples. The acetyl‐histone H4 and trimethylated histone H3‐lysine 4, two post–translational modifications of histones occupying the TSPY1 promoter, facilitated the TSPY1 expression in PCa cells. In addition, we found that androgen accelerated the TSPY1 transcription on the condition of hypomethylated of TSPY1‐CGI and promoted PCa cell proliferation. Moreover, the binding of androgen receptor (AR) to the TSPY1 promoter, enhancing TSPY1 transcription, was detected in PCa cells. Taken together, our findings identified the regulation of DNA methylation, acting as a primary mechanism, on TSPY1 expression in PCa, and revealed that TSPY1 is an androgen‐AR axis‐regulated oncogene, suggesting a novel and potential target for PCa therapy.
Relationship of Forced Social Distancing and Home Confinement Derived from the COVID-19 Pandemic with the Occupational Balance of the Spanish Population

Abrupt interruption in the performance of everyday occupations as a consequence of forced social distancing and home confinement, coupled with a lack of regulatory capacities and skills, can trigger harmful effects on people’s health and well-being. This study aimed to determine the factors related to the occupational balance in the Spanish population during home confinement as a consequence of the coronavirus disease 19 (COVID-19) pandemic. A total of 3261 subjects completed an online survey, which was disseminated through the mainstream social media platforms in Spain and included the Occupational Balance Questionnaire (OBQ), sociodemographic variables, and factors related to COVID-19 infection. The mean age of the participants (81.69% women) was 40.53 years (SD ± 14.05). Sociodemographic variables were related to a greater occupational balance, and the multivariate analysis showed that age (β = 0.071; p = 0.001), the perception of having received enough information (β = 0.071; p ≤ 0.001), not telecommuting (β = −0.047; p = 0.022), and not being infected by COVID-19 (β = 0.055; p = 0.007) contributed to a better occupational balance. There were profiles of people less likely to suffer disturbances in occupational balance during home confinement, but more studies are needed to help understand and analyze the effects of the COVID-19 pandemic on people’s occupational and mental health.
A Novel Privacy Preserving HMAC Algorithm Based on Homomorphic Encryption and Auditing for Cloud

Cloud is the perfect way to hold our data every day. Yet the confidentiality of our data is a big concern in the handling of cloud data. Data integrity, authentication and confidentiality are basic security threats in the cloud. Cryptography techniques and Third Party Auditor (TPA) are very useful to impose the integrity and confidentiality of data. In this paper, a system is proposed Enhancing data protection that is housed in cloud computing. The suggested solution uses the RSA algorithm and the AES algorithm to encrypt user data. The hybridization of these two algorithms allows better data protection before it is stored in the cloud. Secure hash algorithm 512 is used to compute the Hash Message Authentication Code (HMAC). A stable audit program is also introduced for Third Party Auditor (TPA) use. The suggested algorithm is applied in python programming and tested in a simple sample format. It is checked that the proposed algorithm functions well to guarantee greater data protection
Joint Amplitude and Phase Refinement for Monaural Source Separation

Monaural source separation is often conducted by manipulating the amplitude spectrogram of a mixture (e.g., via time-frequency masking and spectral subtraction). The obtained amplitudes are converted back to the time domain by using the phase of the mixture or by applying phase reconstruction. Although phase reconstruction performs well for the true amplitudes, its performance is degraded when the amplitudes contain error. To deal with this problem, we propose an optimization-based method to refine both amplitudes and phases based on the given amplitudes. It aims to find time-domain signals whose amplitude spectrograms are close to the given ones in terms of the generalized alpha-beta divergences. To solve the optimization problem, the alternating direction method of multipliers (ADMM) is utilized. We confirmed the effectiveness of the proposed method through speech-nonspeech separation in various conditions.
Use of Tobacco for Weight Control across Products among Young Adults in the U.S. Military

Abstract Background: Approximately 17% of young adults currently use tobacco, most commonly cigarettes and/or electronic cigarettes (e-cigarettes), followed by other products (i.e., cigarillos, pipe/hookah, smokeless tobacco). Cigarettes have been historically used to control weight. Little is known about use of non-cigarette products for weight control, particularly among non-college young adults. Tobacco use in the military is higher than civilians, and personnel have increased motivation for weight control due to military fitness standards. This population might be vulnerable to use tobacco for this purpose. Purpose: Exploring prevalence, as well as demographic and behavioral correlates, of using tobacco products for weight control, among a large, diverse sample of military young adults. Methods: U.S. Air Force recruits (N = 24,543) completed a questionnaire about tobacco use. Among users of tobacco products, recruits reported if they had ever used that product to maintain their weight. Results: Smokeless tobacco was most commonly used for weight control (12.2%), followed by cigarettes (7.3%), e-cigarettes (5.5%), cigarillos (3.3%), and hookah/pipe (3.2%). Using tobacco for weight control was associated with fewer harm beliefs and more regular use of that product. Among e-cigarette users, having a higher BMI and a lower educational background was associated with ever using this product for weight control. Conclusions: The belief that a tobacco product helps control one’s weight might increase the prevalence, and frequency of use, of that product among military young adults. Tobacco cessation programs should assess for this motivation of use and provide education about tobacco harm and alternative strategies for weight maintenance.
Identification of intra-abdominal lymphatics in canine carcasses by laparoscopic fluorescence lymphography with intradermal and intrapopliteal ICG administration

Objective To evaluate the feasibility of laparoscopic fluorescence lymphography (LFL) using indocyanine green (ICG) via intradermal (ID) or intrapopliteal (IPP) administration in an ex vivo canine model. Methods Six thawed adult male dog carcasses were placed in the Trendelenburg position after placing three surgical ports in triangulation. ICG (0.5 mg/ml; 0.05 mg/kg) was administered to five of the carcasses (one carcass was a pilot) via ID in the left torso and IPP (right position, by surgical access) to stain the lymphatic pathway and medial iliac lymph node (MILN). Fluorescence quality, staining time, structures stained, and lymph node histopathology were assessed. Thoracic duct staining was also evaluated. Results ID administration showed staining of parts of the lymphatic pathway of the iliosacral lymph center in all cases using a single dose of ICG, with left MILN visualization in four carcasses. IPP administration showed staining of the right MILN in all cases, using a single dose in four carcasses. ICG reached the thoracic duct in one case. The two administration routes showed similar results in terms of required ICG volume, staining time, and visualization quality, although IPP was more effective in staining the MILN. Conclusions This study confirms the feasibility of staining the iliosacral lymph center (mainly the MILNs) by LFL in thawed dog carcasses via ID or IPP administration of ICG. However, the IPP route showed greater effectiveness in staining the MILN.
AODC: Automatic Offline Database Construction for Indoor Localization in a Hybrid UWB/Wi-Fi Environment

With the rapid development of mobile terminals and the ever-expanding deployment of wireless infrastructures, the requirement of location-based services (LBS) has permeated majority industries. However, fingerprint-based localization method has a bottleneck, namely, the offline database construction is time-consuming and labor-intensive, which hampers its implementation and adaption. Moreover, the mismatch of fingerprint due to various environmental interferences during the online localization phase is another critical issue to be addressed. In view of this, we consider the fingerprint-based indoor localization in a hybrid UWB/WiFi environment, which integrates UWB and Wi-Fi to speed up the construction of offline database, while maintaining a meter-level localization accuracy. Specifically, the system does not require manual labeling efforts for reference points (RP). Instead, we propose a heterogeneous data synchronization scheme (HDSS) to integrate the RSSI data obtained by the Wi-Fi device and the corresponding coordinates obtained by UWB device. Then, an automatic radio map generation scheme (ARMGS) is proposed, which can automatically generate the fingerprints profiles of RPs. Furthermore, for the online localization, unlike traditional approaches, which estimate locations only based on features of signal space, we proposed a dual-domain constraints localization algorithm (DCLA), which takes the physical space into consideration at the same time based on mean shift clustering algorithm. Finally, we implement the prototype of AODC system and carry out extensive real-world experiments. The experimental results validate the effectiveness of the proposed solutions.
Delineation of connected buses and smart bus shelter by employing IoT and Machine Learning

In this world, one of the major IT (Information Technology) hub is located in Bengaluru, Karnataka, in the developing country of India and hence technological effectuation is expected. Many people are availing the state bus transport facility for their day to day life activities. This research focuses on the concept of smart bus shelter under smart city mission. It promotes the idea of a bus shelter and connected buses. The former is equipped with IoT technologies like smart lights and information kiosk, for the benefit of both stakeholders and commuters. The latter deals with bus schedule information wherein the passengers are made aware of the bus schedule, thereby minimizing the waiting time in the shelter which in turn will lead to the minimization of the crowd density in shelters and as well as buses. The bus shelter is equipped with Zigbee Receiver, Raspberry Pi and other IoT modules which sends data to a cloud periodically. The data is then analysed against the bus schedule for the ease of operations in real-time. Machine learning (ML) algorithm is applied to predict the crowd density well in advance. In addition to all this, an android mobile application and a website have been developed for educating the commuters on bus information and crowd density and help them plan their travel accordingly.
The resistance of sangkuriang catfish (Clarias gariepinus Burchell 1822) against Aeromonas hydrophila bacteria given moringa leaf extracts (Moringa oleifera L.) through the feed

This study aims to reveal effective concentration of moringa leaf extract which is inducing body resistance of sangkuriang catfish against Aeromonas hydrophila. This study used as experimental method of Completely Randomized Design (CRD) with six treatments and three replications. The treatment used in this research are the addition of Moringa leaf extract into feed with concentration of 0 ppm (A), 100 ppm (B), 125 ppm (C), 150 ppm (D), 175 ppm (E) and 200 ppm (F). Observed Parameters are total leukocyte count, increase in leukocyte, clinical sign and survival rate. Increase in leukocyte and survival rate data were analyzed using F test and Duncan test with significance level 0,05, while clinical sign data was analyzed descriptively. The results showed that Moringa leaf extract was effective to induce the immune of sangkuriang catfish. The 150 ppm concentration resulted the highest total leukocyte count of 23.46 ± 6.46% and didn’t have clinical symptons after challenge with Aeromonas hydrophila and highest survival rate 80.0 ± 5.00%. Based on the regression analysis, 153.95 ppm of Moringa leaf extract is the optimum concentration with 95.62% on the survival of sangkuriang catfish after challenge with Aeromonas hydrophila.AbstrakPenelitian ini bertujuan untuk menentukan konsentrasi yang efektif dari ekstrak daun kelor untuk menginduksi ketahanan tubuh ikan lele sangkuriang terhadap serangan bakteri Aeromonas hydrophila. Penelitian ini menggunakan metode eksperimental Rancangan Acak Lengkap dengan enam perlakuan dan tiga ulangan. Perlakuan penelitian yang digunakan adalah penambahan ekstrak daun kelor ke dalam pakan dengan konsentrasi 0 ppm (A), 100 ppm (B), 125 ppm (C), 150 ppm (D), 175 ppm (E) dan 200 ppm (F). Parameter yang diamati meliputi jumlah total sel darah, peningkatan jumlah sel darah putih, gejala klinis, dan sintasan. Data peningkatan jumlah sel darah putih dan sintasan dianalisis menggunakan uji F dan uji jarak berganda pada taraf kepercayaan 5%, sedangkan data gejala klinis dianalisis secara deskriptif. Hasil penelitian menunjukkan ekstrak daun kelor efektif untuk menginduksi ketahanan tubuh benih lele sangkuriang. Konsentrasi 150 ppm menghasilkan rata-rata jumlah sel darah putih tertinggi 23,46±6,46% dan setelah diuji tantang tidak menunjukkan gejala klinis, serta tingkat sintasan yang tertinggi sebesar 80,0±5,00%. Berdasarkan analisis regresi konsentrasi ekstrak daun kelor memberikan pengaruh sebesar 95,62% dengan konsentrasi optimum sebesar 153,95 ppm terhadap sintasan ikan lele sangkuriang setelah di uji tantang dengan Aeromonas hydrophila.