Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracting Technology of Baicalin by Microwave from Scutellaria baicalensis Georgi

Objective To optimize the extraction conditions of baicalin from Scutellaria baicalensis Georgi by microwave. Methods The content of baicalin was served as indicating index,and the extraction conditions were optimized by orthogonal test. Results The optimal microwave condition was as follows:the feed-liquid rate was 1∶15;the ethanol concentration was 70%,the extraction time was 5 min and the extraction temperature was 90℃. Conclusion The extraction of baicalin from S.baicalensis by microwave is rapid and efficient.
Strategies for Improving the Sustainability of Data Centers via Practical and Effective Measures Such as Changing Energy Mix, Enhancing Energy Efficiency, Reducing Energy Use, and Circular Energy or Recycling Energy

Information and communication technologies (ICT) are increasingly permeating our daily life and we ever more commit our data to the cloud. Events like the COVID-19 pandemic put an exceptional burden upon ICT infrastructures. This involves implementation and utilization of data centers, which increasingly contribute to energy and environmental impact. In this work, we address strategies to improve energy efficiency of data centers, to enhance sustainability towards energy resource and the environment. Among key strategies are innovative cooling technologies, use of natural resources, automation techniques, low-power electronics, and equipment with extended thermal limits. Research perspectives are identified and estimates of improvement opportunities are presented.
Idealized Aquaplanet Simulations of Tropical Cyclone Activity: Significance of Temperature Gradients, Hadley Circulation, and Zonal Asymmetry

Earlier studies have proposed many semiempirical relations between climate and tropical cyclone (TC) activity. To explore these relations, this study conducts idealized aquaplanet experiments using both symmetric and asymmetric sea surface temperature (SST) forcings. With zonally symmetric SST forcings that have a maximum at 10°N, reducing meridional SST gradients around an Earth-like reference state leads to a weakening and southward displacement of the intertropical convergence zone. With nearly flat meridional gradients, warm-hemisphere TC numbers increase by nearly 100 times due particularly to elevated high-latitude TC activity. Reduced meridional SST gradients contribute to a poleward expansion of the tropics, which is associated with a poleward migration of the latitudes where TCs form or reach their lifetime maximum intensity. However, these changes cannot be simply attributed to the poleward expansion of Hadley circulation. Introducing zonally asymmetric SST forcings tends to decrease the global TC number. Regional SST warming—prescribed with or without SST cooling at other longitudes—affects local TC activity but does not necessarily increase TC genesis. While regional warming generally suppresses TC activity in remote regions with relatively cold SSTs, one experiment shows a surprisingly large increase of TC genesis. This increase of TC genesis over relatively cold SSTs is related to local tropospheric cooling that reduces static stability near 15°N and vertical wind shear around 25°N. Modeling results are discussed with scaling analyses and have implications for the application of the “convective quasi-equilibrium and weak temperature gradient” framework.
Defining Self-Awareness in the Context of Adult Development: A Systematic Literature Review

Self-awareness is often seen as a critical component in leadership and career success, and has therefore become a feature in MBAs, leadership development, and management education. It has become a popular “buzzword” in management literature, yet when reviewing this literature, there appears to be no consistent definition of the construct. This article reports a systematic literature review, covering how the construct of self-awareness is defined and how it differs from self-consciousness and self-knowledge within the context of management education. After screening, 31 articles were included in the review, analysis of which identified there is an overlap with how self-awareness, self-consciousness, and self-knowledge are defined. Other themes from our analysis include the identification of the components of self-awareness, how to be self-aware, and the purpose of self-awareness. The contribution of our article is the provision of clarity on the construct of self-awareness and a working definition, which can be used in the fields of leadership and management development by practitioners in education and organizations, and for future research within the context of adult development and the workplace.
Veterinary and Sanitary Assessment of Sheep Slaughter Products for Dermatitis

The work is devoted to assessing the quality of livestock slaughter products, taking into account skin diseases of various etiologies. This criterion sometimes makes a significant contribution to the quality of livestock products, so it must be taken into account during veterinary and sanitary examination in laboratories. To assess the state of health and predict changes in the quality of products of the slaughter of sheep, great importance belongs to the study of patterns in the clinical, anamnestic, morphological, metric, and anatomical indicators of the body of the sheep. The use of these patterns and their dynamic changes characteristics helps to find out certain patterns that made it possible to develop several rules for the modern veterinary and sanitary assessment of sheep slaughter products. These rules allow not only to indicate the premisses for the occurrence of dermatitis of various etiologies but also to improve existing developments, as well as improve the quality of preventive remedies to prevent and eliminate these types of diseases. It should also be noted that for the start of preventive steps, the strict observance of elementary rules is important when grazing the number of sheep. This includes their movement in compliance with certain periods, the seasonality of the use of forage land, and the mandatory inspection of the livestock of animals and their parking places. In the case of the detection of infected animals with signs of damage to the skin, the animals are immediately isolated with subsequent diagnosis and treatment.
Evaluation of Customer Service Delivery in Banking Operation Using Python

With competition intensifying across service-oriented business, customer satisfaction is the name of the game. If customers did not perceive the orgnisation well, the company will definitely run out of business. This paper analysed the data collected from customer service unit of a particular bank using Jupyter note - a framework under Python programming language to know customers need and to improve customer satisfaction. From the analysis, it was discovered that there were six (6) purposes of customers’ visitation to the banking hall i.e six services were rendered by the customer service unit of the bank, they are: account authentication; account list; authenticate user; balance check; fund transfer and register customer. All services except Balance Check and Fund Transfer are at their peak in the morning by 8am. Also, user authentication has highest queue length of 450 customers in the morning (8:00am). It was also discovered that customers call for services in the early part of the day and keeps decreasing until the break period when customers will be able to visit bank to make their transactions. Among all the services rendered by the bank, account authentication has the highest average queue length, followed by fund transfer, customers registration, user authentication, balance check and account listing with values 141.000, 131.600, 104.100, 103.500, 96.625 and 51.500 respectively for the month of April. This study was able to learn how customers really feel about the services rendered by the bank and the bank also has been able to know the level of the customers satisfaction, how to improve on the services render and where the immediate focus need to be in order to accelerate the bank growth because satisfied customers will buy more, stay longer and share their positive experience.
Control of double Fano resonances to double optomechanically induced transparencies in a four-mirror cavity set

We theoretically demonstrate the characteristics of an output probe field by considering a set of four mirrors that form a cavity system. In a set of four mirrors, two are fixed while two are moveable and each is driven by an external pump field. Each oscillatory mirror has an external plate (mirror) which can generate a Casimir force (CF). The two CFs affect the radiation pressure inside the cavity, influencing the output probe field profile. The double Fano profile is obtained in the presence of CF for different mechanical frequencies as well as for the same mechanical frequencies. Interestingly, we predicted that double Fano resonances occur in the presence of CF, while double optomechanically induced transparency (OMIT) occurs in the absence of CF. The switching between double Fano resonances and double OMIT is also investigated via CF.
Internet of things for aquaculture in smart crab farming

Internet of Things (IoT) has been introduced and applied in many applications and become an emerging technology in digital era. The major economic in southern part of Thailand is aquaculture such as fishery, shrimp, pearl, mud crab and so on. The concept of IoT which is about connecting the sensors and gathering all necessary data to cloud platform allowing us to compute, control measure, and manage farm efficiently. Soft shell crab is most important ingredient in Chinese, Japanese, and co-fusion menu requiring in many premium restaurants. Unfortunately, the productivity of soft-shell crab industry is very small due to a low survival rate in raising process and lacking of small crab. In tradition al soft-shell crab farm, each small crab has been grown separately of a small box in the old shrimp pond. Farmer has to feed them individually and monitor them every 4 hours in order to avoid soft-shell crab turns to hard shell. In this work, thus, we propose to apply IoT and intelligent system to improve the productivity in the traditional soft-shell crab farm. Water quality sensors, motion sensors, and feeding system are designed and developed to enhance the survival capability of soft-shell crab farm. Meanwhile, with the same concept, our system can be applied in another aquaculture to be smarter farm and be precision aquaculture in the southern path of Thailand.
Pesantren as a Halal Center Institution Towards Religious Tourism Development

The pesantren institutions have never lost interest from the young generation. An old pesantren continues the process, and new pesantren keep appearing. The education system and the institutions for pesantren are growing rapidly, as supported by facilities, infrastructure, and curriculum. They are adapted constanly according to the times. The halal center discourse is developing in the global world. It has made the continue of pesantren to offer applicative ideas. Then the institutions can become the promising center for religious tourism. This study used qualitative literature study and interviews to collect data that related to religious tourism in pesantren. It can be concluded that there are five potentials for developing religious tourism and halal centers in pesantren; such as the intrinsic value of the pesantren, the pattern of life, the environment and the surrounding community, the sacredness, and the spiritual atmosphere; and pesantren religious tourism aspect.
Search for high-Tcconventional superconductivity at megabar pressures in the lithium-sulfur system

Superconductivity at high-pressures has attracted considerable interest after the report of a record critical temperature (${T}_{c}$) of 203 K in sulfur hydride (H${}_{3}$S) at 200 GPa. In this work, the authors predict several novel lithium-sulfur compounds at high pressure using evolutionary crystal structure prediction techniques and investigate their superconducting properties with density functional linear response calculations. The calculations reveal an intrinsic correlation between superconductivity and real-space electron localization. We find that high-${T}_{c}$ superconductivity in the Li-S system occurs at pressures much higher than in H${}_{3}$S, i.e., only when the electrode-like interstitial charge localization typical of alkali-metal compounds is suppressed. This is illustrated in the image, which shows a comparison of the electron-phonon spectral function ${\ensuremath{\alpha}}^{2}\phantom{\rule{0}{0ex}}F(\ensuremath{\omega})$ of Li${}_{3}$S in the low- pressure (panel $a$, ${T}_{c}=0$ K) and high-pressure phases (panel $c$, ${T}_{c}=80$ K), calculated at 500 GPa. The right panels of the image show that the increase in ${T}_{c}$ is accompanied by a shift of the electronic charge from $i\phantom{\rule{0}{0ex}}n\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}e\phantom{\rule{0}{0ex}}r\phantom{\rule{0}{0ex}}s\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}a\phantom{\rule{0}{0ex}}l$ regions to Li-S bonds.
Unified Control with fuzzy MPPT and PSO based Parameter Optimization for Single Stage PV System based on Energy Saving

This paper presents a unified control for single stage grid-connected system with non-linear load. The proposed control not only ensures power injection into the grid, but also shows its advantage of controlling both active and reactive powers as well as harmonics restraints. This paper explains also the advantage of single stage using quasi- z source inverter (QZSI) which plays the buck/boost operation using space vector pulse width modulation technique (SVPWM) for shoot through insertion during the modulation period. Instantaneous power theory is used to simplify the implementation of the control design for both the inner and outer layer as well as for the reference current generation. To take off the challenge of tracking the maximum power point (MPPT) in any condition, including change in solar irradiance, fuzzy technique is used. Thereby, exhibiting its robustness and adaptability. Besides, to ameliorate the efficiency of the system, the well repute particle swarm optimization algorithm (PSO) is employed to improve the PI controllers’ parameters. Finally matlab/Simulink environment is used to implement and to confirm the effectiveness and the feasibility of the proposed control strategy as well as the optimization method.
Rapid and ultrasensitive electrochemical detection of circulating tumor DNA by hybridization on the network of gold-coated magnetic nanoparticles

An accurate and robust method for quantifying the levels of circulating tumor DNA (ctDNA) is vital if this potential biomarker is to be used for the early diagnosis of cancer. The analysis of ctDNA presents unique challenges because of its short half-life and ultralow abundance in early stage cancers. Here we develop an ultrasensitive electrochemical biosensor for rapid detection of ctDNA in whole blood. The sensing of ctDNA is based on hybridization on a network of probe DNA modified gold-coated magnetic nanoparticles (DNA-Au@MNPs). This DNA-Au@MNPs biosensor can selectively detect short- and long-strand DNA targets. It has a broad dynamic range (2 aM to 20 nM) for 22 nucleotide DNA target with an ultralow detection limit of 3.3 aM. For 101 nucleotide ctDNA target, a dynamic range from 200 aM to 20 nM was achieved with a detection limit of 5 fM. This DNA-Au@MNPs based sensor provides a promising method to achieve 20 min response time and minimally invasive cancer early diagnosis.
When the pursuit of happiness backfires: The role of negative emotion valuation

ABSTRACT Recent research has uncovered a downside to the pursuit of happiness; placing a high value on happiness can ironically lead to lower well-being. Not all approaches have this effect, however, and individuals who seek positivity within their day-to-day routines may experience higher well-being. The current research investigated whether the difference between these two approaches (valuing happiness vs. prioritizing positivity) exists in how people orient towards their negative emotions. Across two studies (n = 496) we find that feeling pressured to avoid feeling anxious or depressed partially mediated the relationship between valuing happiness and decreased well-being, but this was not the case for prioritizing positivity. The findings suggest the negative well-being effects of placing a high value on happiness may be partially explained by a related tendency to devalue negative emotions, providing evidence for a mechanism through which the pursuit of happiness can become detrimental.
Transcriptional Landscape of Pathogen-responsive Lncrnas Reveals OS_LNC1812-Induced Disease Resistance by Abscisic Acid Pathway in Rice

Background: Long non-coding RNAs (lncRNAs) produced by the plant genome are essential regulators in diverse biological processes. Despite increasing knowledge of lncRNAs in plant development, little is known about responding to plant disease, especially in rice. Results: In this study, we investigated a comprehensive disease-responding lncRNA profiles in rice defence against Rice black-streaked dwarf virus (RBSDV) and Rice stripe virus (RSV) for the first time. Analysis of RNA sequencing of rice leaves infected with the two pathogens identified total 1,925 lncRNAs, in which 724 lncRNA were derived from alternative splicing (AS) events and the largest number of lncRNAs produced by intron retention (IR) of AS events. We calculated the regulatory relationship between transcription factors, lncRNAs, and mRNAs by constructing gene regulatory network and found that a lncRNA, OS_LNC1812 regulated by Os01t0730700-01 encoding transcription factor WRKY14 may target abscisic acid (ABA) responsive element binding factor ABF (Os01t0867300-01) involved in ABA signaling pathway during pathogens infection. We subsequently found that highly expression of OS_LNC1812, WRKY14, and ABF after ABA treatment. Conclusions: Our results reveal the common lncRNAs profiles respond to RBSDV and RSV in rice and provide novel potential modulation of lncRNAs in ABA pathway in the regulation of plant disease resistance.
Retraction Retraction: Parameterized Comparison of Regularized Regression Models to Develop Models for Real Estate

This research paper has been made on the data of life expectancy. Data carries two sort of regression tasks in it; one is continuous feature (Life expectancy) while another one is discrete feature (Status). Life expectancy depends on many a thing such as alcohol consumption, polio, infant deaths, etc. Generally, in data there exists two models separately, but research has been made to implement both at once. Research goes in a manner that it also involves the comparison or models accuracy among linear, ridge, and lasso. Visualization, normalization, data cleaning, feature reduction, etc, is also performed so as to increase the accuracy. One always looks for less time to complete task with less workout. Ultimately, research successfully implemented both linear regression and logistic regression both at once with optimized model. It is also stating the importance of the ridge and lasso algorithms for optimization.
An Optimized and Decentralized Energy Provision System for Smart Cities

Energy efficiency and data security of smart grids are one of the major concerns in the context of implementing modern approaches in smart cities. For the intelligent management of energy systems, wireless sensor networks and advanced metering infrastructures have played an essential role in the transformation of traditional cities into smart communities. In this paper, a smart city energy model is proposed in which prosumer communities were built by interconnecting energy self-sufficient households to generate, consume and share clean energy on a decentralized trading platform by integrating blockchain technology with a smart microgrid. The efficiency and stability of the grid network were improved by using several wireless sensor nodes that manage a massive amount of data in the network. However, long communication distances between sensor nodes and the base station can greatly consume the energy of sensors and decrease the network lifespan. Therefore, bio-inspired algorithm approaches were proposed to improve routing by obtaining the shortest path for traversing the entire network and increasing the system performance in terms of the efficient selection of cluster heads, reduced energy consumption, and extended network lifetime. This was carried out by studying the properties and mechanisms of biological systems and applying them in the communication systems in order to obtain the best results for a specific problem. In this comprehensive model, particle swarm optimization and a genetic algorithm are used to search for the optimal solution in any problem space in less processing time.
DCAECSCS: Divide and Conquer Algorithm Based Electro Cardiac Signal Compression Scheme

The method of recording heart electrical activity over a period of time using electrodes implanted in the skin is referred to as electrocardiography (ECG). In constant patient monitoring, vast volumes of ECG data need to be treated. Therefore, when each time we need to track the patient’s heart condition, we have to store more details. It is very costly, however, to store, transfer and allocate bandwidth to this Meta data. Here, an effective compression technique has been applied to solve this problem in such a way that all the salient features that have been clinically needed can be preserved. We used the MIT-BIH ECG data database to validate the ECG.
Lifestyle Experiences: Exploring Key Attributes of Lifestyle Hotels Using Instagram User-Created Contents in South Korea

This study aims to investigate the key attributes of a steadily growing hotel sector (lifestyle hotels), which has shown great success in the global competitive market, by analyzing user-created content on Instagram. The dataset used in this study were prepared from a total of 20,999 lifestyle hotel posts and 24,262 boutique hotel posts created from 2013 to 2020 and retrieved using a Python web crawler. The locations, hashtags, and image data were analyzed based on frequency analysis using social network analysis methods and computer vision technology, after which they were visualized with a geographical information system and Gephi. The results demonstrated that lifestyle hotels share key attributes that differentiate them from others in terms of physical, geospatial, and experiential contexts. Design, location, and management type are the main attributes that comprise the distinct identity of each lifestyle hotel. Moreover, a lifestyle hotel is distinct from a boutique hotel in that staying in the former means consuming experiences with continuous changes. The information and knowledge gained from this research will contribute to bridging the gap between theoretical literature and the practical development of lifestyle hospitality.
Hand Side Recognition and Authentication System based on Deep Convolutional Neural Networks

The human hand has been considered a promising component for biometric-based identification and authentication systems for many decades. In this paper, hand side recognition framework is proposed based on deep learning and biometric authentication using the hashing method. The proposed approach performs in three phases: (a) hand image segmentation and enhancement by morphological filtering, automatic thresholding, and active contour deformation, (b) hand side recognition based on deep Convolutional Neural Networks (CNN), and (c) biometric authentication based on the hashing method. The proposed framework is evaluated using a very large hand dataset, which consists of 11076 hand images, including left/ right and dorsal/ palm hand images for 190 persons. Finally, the experimental results show the efficiency of the proposed framework in both dorsal-palm and left-right recognition with an average accuracy of 96.24 and 98.26, respectively, using a completely automated computer program.