Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Artificial Intelligence Machine Learning in Deepening the Internet Plus Social Work Service

The traditional social work services are mainly visits which have some problems such as inconvenient information circulation, unreasonable resource allocation, and low service efficiency. To improve these problems, Internet plus is used to reform social work services and form an Internet plus social work service mode. Although this model has a very good improvement effect on social work service, with the rapid increase of the number of social work services and the rapid growth of the number of volunteers, this model has limitations in the arrangement of social work services and volunteer management. Therefore, based on this model, with the help of machine learning, the Internet plus social work service mode can be deepened by using machine learning to manage social services and volunteers. Internet plus social work service is the main problem in this paper. The Internet plus social work service mode is formed. Then, the deepening role of machine learning in Internet + social work service is discussed, and some problems in Internet plus social work service mode are improved. Internet plus social work service mode can better improve the problems in traditional social work service. The paper also uses machine learning to further optimize the mode of Internet plus social work service, which has a good application in social work service prospects.
ProDCoNN-server: a web server for protein sequence prediction and design from a three-dimensional structure

We present ProDCoNN-server, a web server for protein sequence design and prediction from a given protein structure. The server is based on a previously developed deep learning model for protein design, ProDCoNN, which achieved state-of-the-art performance when tested on large numbers of test proteins and benchmark datasets. The prediction is very fast compared with other protein sequence prediction servers - it takes only a few minutes for a query protein on average. Two models could be selected for different purposes: BBO for full sequence prediction, extendable for multiple sequence generation, and BBS for single position prediction with the type of other residues known. ProDCoNN-server outputs the predicted sequence and the probability matrix for each amino acid at each predicted residue. The probability matrix can also be visualized as a sequence logos figure (BBO) or probability distribution plot (BBS). The server is available at: https://prodconn.stat.fsu.edu/.
WIDE AREA DETECTION SYSTEM: CONCEPTUAL DESIGN STUDY

An integrated sensor for traffic surveillance on mainline sections of urban freeways is described. Applicable imaging and processor technology is surveyed and the functional requirements for the sensors and the conceptual design of the breadboard sensors are given. Parameters measured by the sensors include lane density, speed, and volume. The freeway image is also used for incident diagnosis.
Liquid Bio Fuels for Gas Turbines

In this study the different liquid biofuels that could be used as alternative fuels in gas turbines are reviewed. The pre-conditions are biofuel in liquid state, suited for seven specific gas turbines at E.ON Varmekraft that are a part of the disturbance reserve of Svenska Kraftnat. The alternative fuels need to comply with the agreement with Svenska Kraftnat. The most probable candidates are biooil, dimethyl ether, bio-ethanol, Fischer-Tropsch synthesized fuels, straight vegetable oils, fatty acid (m) ethyl esters (FAME, RME, bio-diesel) and hydro-treated (or -genated) vegetable oils (HVO). These fuels are studied and their different properties are listed. Earlier works where these fuels have been used in gas turbines are studied and conclusions are drawn from this. Several issues concerning combustion and emissions with respect to gas turbines are reviewed. The gas turbine fuel consumption regarding alternative fuels is presented and a market research of prices of the alternative fuels is performed. The specific sustainability demands of both the Swedish Energy Agency and E.ON are discussed. An analysis is performed of the alternative fuels, of the earlier work and how this will affect the issues with combustion and emissions. Some specifics concerning the use and storage of these alternative fuels are also analyzed. An economic analysis is performed calculating the total cost from using these alternative fuels, including cost for fuel and investments and possible subsidies. The conclusion is that it is both technically feasible to use liquid biofuels in gas turbines, and with some requirements, there can be an economical gain in it. Though this requires large investments. Biooil or Pyrolysis oil could, during an estimated time period of 15 years, with subsidies, cover the material investments needed for the conversion. Disregarding economy, there is a relatively new alternative fuel on the market, HVO, that seems very good and it is in some aspects better than the current fuel. The price on this fuel is on the other hand very high due to the fact that it can substitute diesel fuel for vehicles.
Enhancing MINIX 3.X input/output performance

MINIX 3.X is an open-source operating system designed to be highly reliable, flexible, and secure. The kernel is extremely small and user processes, specialized servers and device driver runs as user-mode insulated processes. These features, the tiny amount of kernel code, and other aspects greatly enhance system reliability. The drawbacks of running device drivers in user-mode are the performance penalties on input/output ports access, kernel data structures access, interrupt indirect management, memory copy operations, etc. As MINIX 3.X is based on the message transfer paradigm, device drivers must request those operations to the System Task (a special kernel representative process) sending request messages and waiting for reply messages increasing the system overhead. This article proposes a direct call mechanism that keeps system reliability running device drivers in user-mode but avoiding the message transfer, queuing, dequeuing and scheduling overhead.
Development, Optimization, and Evaluation of Luliconazole Nanoemulgel for the Treatment of Fungal Infection

The present study aimed to optimize luliconazole nanoemulsion using Box–Behnken statistical design, which was further incorporated into the polymeric gel of Carbopol 934. The formulation was characterized for its size, entrapment efficiency, ex vivo permeation, and mechanism of release. The size of the dispersed globules of the optimized drug-loaded nanoemulsion was found to be 17 ± 3.67 nm with a polydispersity index (PDI) less than 0.5. Although the surface charge was recorded at –9.53 ± 0.251, the stability was maintained by the polymeric matrix that prevented aggregation and coalescence of the dispersed globules. The luliconazole-nanoemulgel (LUL-NEG) was characterized for drug content analysis, viscosity, pH, and refractive index, where the results were found to be 99.06 ± 0.59%, 9.26 ± 0.08 Pa.s, 5.65 ± 0.17, and 1.31 ± 0.08, respectively. The permeation across the rat skin was found to be significantly higher with LUL-NEG when compared with LUL gel. Furthermore, the skin irritation test performed in experimental animals revealed that the blank NEG, as well as the LUL-NEG, did not produce any signs of erythema following 48 h exposure. In addition, the histopathological findings of the experimental skins reported no abnormal signs at the formulation application site. Finally, the NEG formulation was found to create a statistically significant zone of inhibition ( P < 0.05) when compared to all other test groups. Overall, it could be summarized that the nanoemulgel approach of delivering luliconazole across the skin to treat skin fungal infections could be a promising strategy.
Performances of novel fuzzy logic based indirect vector control for induction motor drive

This paper presents a novel speed control scheme of an induction motor (IM) using fuzzy logic control. The fuzzy logic controller (FLC) is based on the indirect vector control. The fuzzy logic speed controller is employed in the outer loop. The complete vector control scheme of the IM drive incorporating the FLC is experimentally implemented using a digital signal processor board DS-1102 for the laboratory 1 hp squirrel cage induction motor. The performances of the proposed FLC based IM drive are investigated and compared to those obtained from the conventional proportional integral (PI) controller based drive both theoretically and experimentally at different dynamic operating conditions such as sudden change in command speed, step change in load, etc. The comparative experimental results show that the FLC is more robust and hence found to be a suitable replacement of the conventional PI controller for the high performance industrial drive applications.
Social and Emotional Support Highly Associated with Helplessness among Coronary Heart Disease Patients

BACKGROUND: Helplessness is a factor that adversely affects patients with coronary heart disease (CHD). The factors related to this situation have become essential to be investigated. Meanwhile, one of the factors that have the potential to reduce this situation is social support. However, there has been no research related to this in the Indonesian population. AIM: Therefore, this study aims to assess the relationship between social support and helplessness among patients with CHD. METHODS: This was a correlational study where 107 outpatient and inpatient patients at a hospital in West Java, Indonesia, were obtained. The data were collected using a demographic questionnaire, Illness Cognition Questionnaire on the dimensions of helplessness, and the Enhancing Recovery in CHD Social Support Inventory. Furthermore, the data were analyzed by Pearson and linear regression. RESULTS: The respondents were 78% of males, while 22% were female. Most of the patients (88%) were married. The bivariate analysis showed that social support and its subvariable emotional support were significantly related to helplessness (p < 0.05, r = −0.248), while the other subvariable structural and instrumental support were not significantly related (p > 0.05). The regression analysis results showed that social and emotional support had a significant effect (p < 0.05) with R2 (95% CI) of 042 and 0.05, respectively. CONCLUSIONS: The social and emotional support among CHD patients was associated with helplessness. The higher the supports obtained, the lower the patient’s helplessness. Therefore, nurses need to encourage family or those closest to patients to provide adequate social and emotional support.
Factors influencing readiness for transformational e-government : a perspective of local governments in South Africa

The purpose of this article was to explore the readiness of local governments (municipalities) in South Africa to transform to be able to deliver services to its citizens using ICT. The study applied Structuration Theory (ST) and drew on the concepts of duality of structure and action particularly: the enactment of technology-in-practice (ETiP) as a lens to understand and interpret the social construct. The objective was to determine the factors contributing to the readiness of municipalities to adopt ICT to transform the way and manner they deliver essential services to the public. The concept "Transformational e-Government" (TeG) is discussed in this paper to analyse the determinant factors influencing service delivery. This paper aimed to analyse the readiness of South African local government when rendering services through information and communication technology (ICT). An interpretive case study research methodology where structured interviews were used to collect data was applied. The findings were that out of the 15 municipalities interviewed only 7% were ready for TeG initiatives, 60% were near ready and 33% have a long way to go to implement TeG initiatives. The results also showed that 5 out of the 8 Metro Cities in South Africa were ready to implement TeG initiatives successfully. The implications of the study were that, the ST is able to provide the lens through which to understand, interpret and determine the factors contributing to the readiness of municipalities to implement TeG to improve service delivery.
Solder interconnect life prediction under complex temperature cycling with varing mean and amplitude

Title of Dissertation: SOLDER INTERCONNECT LIFE PREDICTION UNDER COMPLEX TEMPERATURE CYCLING WITH VARYING MEAN AND AMPLITUDE Fei Chai, Ph.D, 2013 Directed By: George E. Dieter Professor, Michael Pecht, Mechanical Engineering Electronic devices are under concurrent loading of the power cycling of the devices and the temperature cycling from the surrounding environment. Temperature histories resultant from these concurrent loading would be a complex temperature cycling with varying cyclic temperature mean and amplitude, as well as spatial thermal gradient. This study developed modeling approaches and quantified accuracies for predicting solder interconnect life under complex temperature cycling. Three modeling approaches were presented in this study: 1) modeling the strain energy under the resultant complex temperature cycling and employing the energy based fatigue life models; 2) segmenting the resultant complex temperature cycle into multiple simple temperature cycles with a single temperature range for each first, then assessing the life expectancy of the solder interconnect under the segmented simple temperature cycles and at last applying Miner’s rule to superpose the damage; 3) estimating solder damage under the resultant complex temperature cycling by a standard temperature cycling with a single temperature range. Two case studies were included in this thesis: 1) chamber controlled complex temperature cycling with mini cycles occurring at the upper excursion on ceramic leadless chip carriers assembled by Sn36Pb62Ag2 and SnAg3.0Cu0. 5 solder (without spatial thermal gradient); 2) combined temperature and power cycling on plastic ball grid array assembled by Sn63Pb37 and SnAg3.0Cu0. 5 solder (with spatial thermal gradient). Physical tests were also conducted to quantify the developed modeling
Total Carotenoid, Flavonoid and Phenolic Compounds Concentration in Willowleaf Cotoneaster (Cotoneaster Salicifolius Franch.) Fruits

Willofleaf cotoneaster (Cotoneaster salicifolius Franch.) is a low, prostrate shrub, grown in Romania as an ornamental plant. Its fruits are small, ovoid pomes. Fruit tissues were analyzed for total carotenoid content (through acetone extraction and spectrophotometry), flavonoid content (methanol extraction and spectrophotometry) and total concentration of phenolic and polyphenolic compounds (methanol extraction and spectrophotometric Folin-Ciocâlteu method). C. salicifolius fruits analyzed contained an average of 311.50 mg/kg DW carotenoids (heat-dried fruits – only 100.25 mg/kg). Average flavonoid concentration was 9,777.62 mg/kg in fresh frozen fruits and 4,574 mg/kg in dried ones. 25,056.09 mg/kg GAE was the average concentration of total phenolics in fresh fruits, while dry fruit powder contained 5,271 mg/kg GAE. These concentrations of bioactive compounds are comparable, or even have a higher than in pomes belonging to related species, including domestic cultivars of rowanberry (Sorbus sp.), wild Sorbus species, firethorns (Pyracantha sp.), or other studied cotoneasters. This shows a significant potential for these pomes, requiring further investigation. However, heat-drying was found to be an unsuitable processing method for these fruits, since it led to a 53.22-78.94 percent decrease in bioactive compounds concentrations.
Analysis of fault diagnosis of DC motors by power consumption pattern recognition

Early detection of faults in DC motors extends their life and lowers their power usage. There are a variety of traditional and soft computing techniques for detecting faults in DC motors. Many diagnostic techniques have been developed in the past to detect such fault-related patterns. These methods for detecting the aforementioned potential failures of motors can be utilized in a variety of scientific and technological domains. Motor Power Pattern Analysis (MPPA) is a technology that analyzes the current and voltage provided to an electric motor using particular patterns and protocols to assess the operational status of the motors without disrupting production. Engineers and researchers, particularly in industries, face a difficult challenge in monitoring spinning types of equipment. In this work, we are going to explain how to use the motor power pattern/signature analysis (MPPA) of a power signal driving a servo to find mechanical defects in a gear train. A hardware setup is used to simplify the demonstration of obtaining spectral metrics from the power consumption signals. A DC motor, a set of metal or nylon drive gears, and a control circuit are employed. The speed control circuit was eliminated to allow direct monitoring of the DC motor's current profiles. Infrared (IR) photo-interrupters with a 35 mm diameter, eight-holed, standard servo wheel were employed to gather the tachometer signal at the servo's output. The mean value of the measurements was 318 V for the healthy profile, while it was 330 V for the faulty gears power data. The proposed power consumption profile analysis approach succeeds to recognize the mechanical faults in the gear-box of a DC servomotor via examining the mean level of the power consumption pattern as well as the extraction of the Power Spectral Density (PSD) through comparing faulty and healthy profiles
Recent Advances on Electrolysis for Simultaneous Generation of Valuable Chemicals at both Anode and Cathode

To make efficient use of electrical energy in the whole electrocatalysis conversion process, the integrating of anode and cathode reactions plays a vital role. The combination of electrocatalytic anodic oxidation with cathodic reduction can not only maximize the return of energy investment, but also produces value‐added materials on both sides. Herein, in this review, recent advances in co‐electrolysis processes for valuable chemical production are systematically summarized. To be more specific, the popular hydrogen evolution reaction, carbon dioxide reduction reaction, nitrogen reduction reaction as well as nitrate reduction reaction integrated with anodic oxidation reactions to value‐added products, respectively are comprehensively reviewed, and then other paired electrolysis systems (especially for biomass‐based compounds) toward high‐value‐added chemical generation are discussed in detail. This review sheds light on the integration of electrocatalytic reductions and oxidation reactions to develop high‐value substances. To benefit researchers and facilitate the progress in this field, the challenges and future prospects for these integrated reactions are also proposed.
Constraints on Olivine Deformation From SKS Shear‐Wave Splitting Beneath the Southern Cascadia Subduction Zone Back‐Arc

Shear‐wave splitting observations of SKS and SKKS phases have been used widely to map azimuthal anisotropy, as caused by the occurrence of olivine, to constrain the dominant directions of upper mantle deformation. While SK(K)S splitting measurements at individual seismic stations are often averaged before interpretation, it is useful to consider additional information, for example, based on the variation of splitting parameters with azimuth due to the non‐vertical incidence of core‐phases. These constraints in theory enable a differentiation between various types of olivine and may allow us to infer otherwise poorly known upper mantle parameters such as stress, temperature, and water content. In this study, we predict the azimuthal variation of splitting parameters for A‐, C‐, and E‐type olivine fabrics and match them with observations from the High Lava Plains, Northwestern Basin and Range, and Western Yellowstone Snake River Plain in the Pacific Northwest US. This helps to constrain the amount of water in the upper mantle in the back‐arc of the Cascadia subduction zone, known for its consistent E‐W oriented seismic anisotropy, and particularly large splitting delay times. Our investigation renders the C‐type olivine mechanism improbable for this location; A‐ and E‐type fabrics match the observations, although differentiating between them is difficult. However, the agreement of the amplitude of backazimuthal variation of the fast orientation, plus the potential to explain large splitting delay times, suggest the occurrence of E‐type olivine, and thus the likely presence of a moderately hydrated upper mantle beneath Cascadia's back‐arc.
Modelling of C-terminal tail of human STING and its interaction with tank-binding kinase 1

Stimulator of interferon genes (STING) plays a significant role in a cell’s intracellular defense against pathogens or self-DNA by inducing inflammation or apoptosis through a pathway known as cGAS-cGAMP-STING. STING uses one of its domains, the C-terminal tail (CTT) to recruit the members of the pathway. However, the structure of this domain has not been solved experimentally. STING conformation is open and more flexible when inactive. When STING gets activated by cGAMP, its conformation changes to a closed state covered by 4 beta-sheets over the binding site. This conformational change leads to its binding to Tank-binding kinase 1 (TBK1). TBK1 then phosphorylates STING aiding its entry to the cell’s nucleus. In this study, we focused on the loop modeling of the CTT domain in both the active and inactive STING conformations. After the modeling step, the active and inactive STING structures were docked to one of the cGAS-cGAMP-STING pathway members, TBK1, to observe the differences of binding modes. CTT loop stayed higher in the active structure, while all the best-scored models, active or inactive, ended up around the same position with respect to TBK1. However, when the STING poses are compared with the cryo-EM image of the complex structure, the models in the active structure chain B displayed closer results to the complex structure.