Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-amplification and characterization of microsatellite markers in species of Manihot Mill. (Euphorbiaceae) endemic to the Brazilian Cerrado

The genus Manihot Mill. contains about 120 species of which about 104 occur in Brazil. We tested the cross-amplification of ten microsatellite markers developed for Manihot esculenta in 15 species of Manihot endemic to the Brazilian Cerrado. We also evaluated the genetic diversity of Manihot irwinii , M. orbicularis , and M. purpureocostata . Ten pairs of primers were amplified among 14 species of Manihot . The percentage of polymorphic loci per species varied from 70 to 100 %. Nine markers showed amplification and polymorphism when evaluated on polyacrylamide gel. The markers were combined to form three sets for multiplex genotyping for genetic diversity analysis, and showed 51, 75, and 75 alleles in M. irwinii , M. orbicularis , and M. purpureocostata , respectively. The levels of genetic diversity for the transferred markers were high for the three species and proved to be useful for population genetics studies of species of Manihot endemic to the Cerrado. The results of this study will help to better understand the genetic diversity, taxonomy and relationships among species Manihot , and to develop conservation programs for the genus.
CUK Converter for Power Factor Correction Using Moth Flame Optimization-PI Controller

Electronic equipment in household loads in the form of non-linear loads that require a circuit that requires a power supply in the form of a direct voltage (DC) that requires an AC to DC rectifier in the form of a full-wave rectifier. However, the installation of capacitor values in the circuit can cause the waveforms of the input current to become uneven or distorted so that the emergence of harmonics which results in a low power factor with the improvement of the power factor. It affects the output voltage to the load so we need control for the voltage regulator. The solutions to overcome the problem of input current defects can be overcome using a power converter used as a PFC. In this paper, CUK Converter used as PFC is expected to get close to 1 (one) results in increasing power factor and the need for a voltage regulator to regulate the voltage requirements for loads that are utilized by the Moth Flame Optimization algorithm method - PI method. This CUK Converter functions in DCM (Discontinuous Conduction Mode) which makes the system resistive. In conclusion from the results of simulations that have been done, the results obtained from the use of CUK Converter as PFC can improve the power factor from pf value 0.731 to 0.994 and with MFO-PI control it can maintain a constant output voltage of 12 volts with a current of 5 amperes.
DESMOCOLLIN 3 GENE (DSC3) EXPRESSION AND CANCER - IN SILICO EVALUATION

Desmocollin-3 (DSC3) is DSC3 protein coding gene, expressed in some epithelial cancers. DSC3 expression has prognostic value in some cancers. Using cBioportal and Kaplan– Meier plotter DSC3 gene was evaluated in 12 cancers using TCGA data and compared with Hallmark gene expression. Cancers were grouped to have low (Group I), intermediate (Group II) and high (Group III) DSC3 expression. Higher DSC3 expression in group III is associated with better survival and in group I with poor survival. DSC3 expression correlated with desmosomal genes DSG3, DSC1, DSG1, PKP1 in spite of its known reciprocal relationship with DSC1, DSG1 and PKP1 under physiological conditions. Of 10 Hallmarks evaluated, three hallmarks had no correlation with DSC3. Activating invasion and metastasis (AIM) (genes SERPINB5, PERP, SNAI2) and Evading Growth Suppressors (EGS) (gene TP63) were the key hallmarks associated with DSC3 expression. Gene expression correlation with DSC3 across various hallmark genes reveals no correlation in group I cancers. Our finding demonstrate that higher DSC3 expression level may be useful for prognostication and needs further evaluation. The finding of this analysis also suggests critical role of TP63 in DSC3 expressing cancers and potentially a different biological process unique to DSC3 expressing cancers
Production and characterization of inter and intraspecific hybridization eggplant

ABSTRACT The eggplant is a highly valuable horticultural crop grown all over the world and it is of substantial economic importance in Asia. However, its production is severely threatened by several soil-borne and foliar diseases, insect-pests, drought, heat, and frost damage. Therefore, efforts to transfer useful resistance genes into eggplant from their wild relatives is important. In the present study, interspecific and intraspecific hybridization was carried out, that included three cultivated genotypes of eggplant (Solanum melongena MEE, Solanum melongena MEP, Solanum melongena MEB) and one wild Solanum species (Solanum incanum INC). The F1 hybrids were made by inter and intraspecific hybridization. A total of 632 possible inter and intraspecific reciprocal crosses was performed where only three were successful. The minimum days to flowering were observed in parent MEP, and maximum plant height was measured in MEE×MEB. Maximum fruit length was observed in parent MEB. Furthermore, fruit diameter, leaf width, leaf length, and fruit yield per plant were found maximum in hybrid MEExINC. Our results suggest that these materials will be of great interest for the genetic improvement of eggplant; they may have a tremendous potential to increase tolerance to abiotic stresses, such as to drought and heat, as well as increased nutrient and herbal values. Findings of this study will be helpful for the human health, ultimately contributing to the development of a new generation of plants adapted to climate.
Impact of Workplace Empathy Training on Employees’ Helping Behavior

Helping coworkers outside one's main job description has a positive impact on organizational achievement, a behavior known in industrial psychology research as helping behavior. Helping behavior is an employee's activities that are performed but are not part of the main job function and that are focused on helping to solve personal problems or complete the work of colleagues. Empathic concern is an important factor related to the emergence of helping behavior and describes the emotional response of compassion and concern experienced by employees when they see a colleague in need. This two-part, applied research study sought to determine the factors associated with these behaviors. Study 1 was conducted to determine the relationship between empathic concern and helping behavior within an organization. Data were collected from 40 employees using the Interpersonal Citizenship Behavior scale and the Empathic Concern subscale of the International Reactivity Index. A significant positive relationship between empathic concern and helping behavior was observed. Study 2 was conducted to determine the results of an empathy at work training program. On the basis of the evaluation of the five participants, the program was effective with a significant increase in participants' understanding of empathic concern. Participants also showed a more positive attitude toward empathic concern and helping behavior. From the observations of coworkers and direct supervisors, the research found that participants were able to demonstrate empathic concern and helping behavior by meeting more than half of the expected indicators.
Generation of Missing Words in Assamese text using N-gram based Model

It is very common to miss certain words when writing while listening to others. A similar problem can arise when typing on the computer. The automatic generation of missed words shall very much helpful for users by suggesting the required words. In this research work, missed words of the Assamese sentences are generated, at present, there is no such tool/method exists which can provide or generate the missed words in an Assamese sentence. N-gram based models like bigram and trigram are used to generate missed words. Using the bigram and trigram models a rank is calculated for each possible suggested words and the suggested word list is sorted according to this rank value in decreasing order. Finally, these suggested words can be used to fill the place of the missed Assamese words. Different levels of experiments are carried out and the present proposed system can correct the missed words at an accuracy ranging from 58% to 66%. The proposed model can precisely generate accurate five relevant suggestions for a sentence containing an average of six words with two missed words separated by three words.
A Methodology for Tunning Cascade PI Controllers for Power Electronics Converters

This paper presents a methodology for tuning cascade PI controllers for power electronics (PE) converters. In general terms, this paper presents a step by step mathematical procedure for obtaining the transfer functions useful for tunning PI controllers. Most of converters exhibit nonminimum phase behavior for voltage to duty transfer function; in consequence, cascade PI controller is needed. The proposed cascade PI controller features inner and outer loops. The inner loop allows controlling the inductor current while the outer loop permits to control the capacitor voltage and provides the reference current of the inner loop. The methodology was applied to the Boost converter. Controllers were tuned using Matlab R2020b while control implementation was performed by using Open Modellica.
Effects of KF Loading on Mg–Al Mixed Oxides for the Selective Synthesis of Trimethylolpropane Triesters

A series of Mg–Al hydrotalcites (HTCs) calcined at different temperatures were evaluated for their suitability as solid base catalysts for the selective synthesis of trimethylolpropane triesters (TMPTEs) via transesterification of trimethylolpropane (TMP) with a mixture of C8–C10 fatty acid methyl esters (FAMEs). The effect of potassium fluoride (KF) loading of the calcined HTCs on the physicochemical and catalytic properties of the materials attained was ascertained. Using a 5 wt% catalyst loading and a FAME:TMP molar ratio of 3.5:1 at 170°C for 8 h, the Mg–Al mixed oxide obtained by calcining HTC at 500°C (HTC-500) gave the highest TMPTE selectivity and FAME conversion. Impregnating HTC-500 with 10 wt% KF (KF/HTC-500) generated strongly basic KMgF3, KOH, K2O, and coordinatively unsaturated F− sites. The FAME conversion and TMPTE yield obtained over different HTC and KF/HTC-500 catalysts depended on their total basicity, where a basic strength of 15 < H_ < 18.4 was required for optimal TMPTE selectivity. The KF/HTC-500 calcined at 500°C was the most suitable catalyst and showed a superior performance to NaOCH3, a common homogeneous base for the polyol ester production.
Method for the Blind Estimation of Power Coefficients in PD-NOMA Systems

A method of power domain non-orthogonal multiple access with user channel multiplexing is a promising approach for organizing multichannel communication in modern digital wireless systems. Generation of a non-orthogonal group signal involves the superposition of user signals with different weight power coefficients in a single frequency-time resource segment. Decoding such a signal at the receiver requires the information about the weights used in multiplexing. This information is transmitted in control channels and provides additional load on the data network, which in turn reduces its effectiveness. A blind estimation method of power coefficients is proposed to solve this issue. A simulation model has been developed to study proposed method. Simulation resulted in the dependence of the blind estimation of power coefficients error on the signal-to-noise ratio in the transmission channel and on the signal sample length. The result of the study showed that the blind estimation of power coefficients insignificantly worsens the probability of a bit error when decoding a group non-orthogonal signal. Despite this, the proposed blind estimation method can be considered in an attempt to optimize control channel traffic.
Customer Satisfaction Level of Bangladesh Parjatan Corporation’s Restaurants

The study aimed to assess Bangladesh Parjatan Corporation's restaurants' customer satisfaction to improve quality and services. It was found that the price of the food items was not extensive comparing to international standards, but expensive in the country context. It takes an extended time in-between ordering and delivery. The manner and etiquette of the waiters and other restaurant service people were not up to the mark. Customers enjoy a healthy environment during food consumption. The food quality is not appropriately controlled, and less quantity of food, notably inferior portion, was served, which was treated as cheating activities. The study found that the outside washroom and interior designs were not satisfactory. Hence, the restaurant needs to take the initiative to bring more mobility for ensuring prompt service where customers will not have to wait long for food. A training program is required to improve human resources' professionalism, including waiters/waitresses and kitchen staff. Special attention is warranted on food portioning so that the customers are not cheated.
CuS quantum dot modified carbon aerogel as an immobilizer for lithium polysulfides for high-performance lithium–sulfur batteries

CuS quantum dot (QD) modified carbon aerogels were successfully prepared via a facile and scalable method to encapsulate sulfur and polysulfides into the hierarchical porous channel of lithium–sulfur batteries. The surface morphologies and microstructures of the CuS QD modified composites and their electrochemical performances are investigated in detail. The modified 3D interconnected porous CA with excellent conductivity and high specific surface can effectively facilitate electron and ion transfer. The well-distributed CuS QDs further provide abundant active adsorption sites to anchor sulfur particles and polysulfides. As a result of the synergistic effect of CuS QD and hierarchical mesoporous carbon, the composite delivers a high initial capacity of 1318 mA h g−1 at a current rate of 0.2C and retains 1073 mA h g−1 after 100 cycles. Furthermore, the high conductive CuS QD modified composite provides a stabilized capacity of over 840 mA h g−1 for over 500 cycles with only 0.05% decay per cycle at 0.5C.
Target recognition algorithm based on improved depth separable convolution

Realizing accurate target recognition in the fields of drones, vehicle-mounted systems, robots, etc. has increasingly become a hot research direction for researchers. Aiming at the problem of using deep learning algorithms to identify targets on mobile devices with limited size, the network model has a large number of parameters resulting in a large calculation cost, a complicated recognition process, and a large number of iterations resulting in a long recognition time. This paper proposes an improved deep separable convolution algorithm, which consists of deep convolution and point-by-point convolution, which is based on convolution kernels for step-by-step filtering and combination. After deep convolution, batchnorm is added, and the activation function uses a linear function. Add batchnorm and nonlinear activation function ReLU after 1×1 convolution to ensure the accuracy of target detection. This algorithm reduces the amount of parameters while ensuring recognition accuracy, reduces the amount of recognition calculations, and reduces the weight of the network model. It provides a network foundation for implementing image recognition on devices with limited size.
Human action recognition based on Kinect

With the emergence of Kinect, many research results have emerged in human action recognition based on skeleton information, which has promoted the development of human-computer interaction. In this paper, from the skeleton data obtained by Kinect, static features and dynamic features are extracted, and the two are merged; SVM classifier is used for action recognition. It is verified on the MSR Daily Activity 3D data set, and the experimental results show that the method in this paper improves the accuracy of action recognition.
Multidimensional Liquid Chromatography

Multidimensional Liquid Chromatography (MDLC) is a very powerful separation technique for analyzing exceptionally complex samples in one step. This authoritative reference presents a number of recent contributions that help define the current art and science of MDLC. Topics covered include instrumentation, theory, methods development, and applications of MDLC in the life sciences and in industrial chemistry. With the information to help you perform very difficult separations of complex samples, this reference includes chapters contributed by leading experts or teams of experts.
Real-time object detection and face recognition system to assist the visually impaired

The application system presented here is for use in an Android based mobile phone by the visually impaired for detecting objects in their vicinity, which will help them move around safely, without crashing into objects. The detection of objects is done from a real time video taken from the mobile phone camera. People and objects are detected from this video using OpenCV, YOLO and FaceNet. If a human is detected, the system identifies the person. His identity will then be converted into audio and presented to the user. Similarly, objects detected in the vicinity will be presented in audio format to the user.
Surfactant Directed Growth of Gold Metal Nanoplates by Chemical Vapor Deposition

Surface supported, low dimensional gold nanostructures are of interest for plasmonic applications. Low dimensional nanostructures are readily accessible by solution-phase growth, where shape control through the addition of growth-directing surfactants is well established. Yet, shape control in chemical vapor deposition (CVD) has not been well explored, and metallic gold films are typically limited to nanoparticulate or thin film morphologies. This article describes the self-seeded growth of high aspect ratio gold plates and wires by CVD. A directed growth mechanism is proposed, where growth is directed by the coordinating N-heterocyclic carbene (NHC) and phosphine ligands originating from the thermal decomposition of the two gas-phase precursors, [Au(HMDS) (NHC)] (HMDS = hexamethyldisilazide, NHC = 1,3-diisopropyl-imidazolidin-2-ylidene) and [Au(HMDS) (PMe3)]. These ligands acted as transient surfactants for plate growth between 370 and 460 °C and at high precursor flux. Energy dispersive X-ray spectrosco.
Diagnostic Utility of AMCAR and p63 Cocktail Antibody in the Benign and Malignant Lesions of Prostate

Background: Histopathological examination of prostatic specimen is gold standard for the diagnosis of prostate cancer. Current study evaluates the expression of AMACR and p63 in the prostate lesions using AMACR and p63 cocktail. Materials and Method: Total of 180 cases were collected and Haematoxylin and Eosin staining performed followed by immunohistochemical analysis using AMACR and p63 antibody. Result: Out of 180 cases, Benign Prostatic Hyperplasia is the most common lesion noted in about 120 cases. In this study, the predominant population was in the 6th to 7th decade of age. Most of the patients presented with difficulty in micturition. Immunohistochemistry revealed that p63 expression is positive in all normal basal cells, 118 cases (98.33%) were negative for AMACR and only 2 cases were showing focal and weak AMACR immunoreactivity. AMACR was positive in all the 6 HGPIN cases with variable intensity. Out of 5 LGPIN cases AMACR was positive in 3 cases with low intensity, remaining 2 cases shows AMACR negative. p63 is positive in all 11 PIN cases (LGPIN & HGPIN) showing discontinuous staining pattern. All 22 cases of Prostatic adenocarcinomas were negative for p63 and all cases expressed positive immunostaining with AMACR. A diagnosis of adenocarcinoma was made in 48% of atypical cases. Cases which were negative for both AMACR and p63 were diagnosed as Atypical Small Acinar Proliferation, for which further follow-up is required. Conclusion: AMACR/p63 Cocktail antibody is very much useful as it saves time, tissue and is cost-effective.
Research on the Performance of Machine Learning Algorithms for Intrusion Detection System

Intrusion Detection System (IDS) is a critical approach to ensure network system security. Currently, network attacks are complicated and volatile. Moreover, hackers are also more inclined to adopt new attack techniques to obtain users’ privacy. Under this circumstance, the intelligent intrusion detection system has become the primary approach to detect hackers’ attacks. In this study, intelligent intrusion detection models applying the novel UNSW-NB15 data set as well as various machine learning algorithms are investigated. Furthermore, data set is pre-processed through using one-hot encoding and normalization in our experiment. Subsequently, the performance comparison of six different types of machine learning algorithms in intrusion detection tasks was implemented. The experimental results reveal that in the complex and changeable network traffic data, machine learning technology has presented desired performance.
Determination of Sudan I in duck feed by microscopic image processing and confocal Raman spectroscopy

Duck feed is a globally traded agricultural product that is sometimes adulterated illegally with Sudan I for colour enhancement. This paper proposes a novel method combining microscopic image processing and confocal Raman spectroscopy to detect qualitatively the adulteration of duck feed. Image analysis of duck feed samples adulterated with Sudan I can rapidly and objectively locate highly suspicious areas to improve detection accuracy and speed. Confocal Raman spectroscopy is a valuable analytical tool in trace detection of Sudan I due to its high spatial resolution (below 1 μm) and non-invasive nature. In this study, the microscopic images of Sudan I-spiked duck feed tablets (spiking levels: 0.0001–2%) are used to locate suspicious pixels that may contain the adulterant. The spectra of detected pixels were recorded using a confocal Raman spectrometer. An improved spectral angle measurement algorithm, feature-enhanced spectral angle measurement (FESAM), was used to enhance Raman spectral characteristics. Very good calibration statistic results were obtained to distinguish Sudan I from duck feed. In addition, model reliability was verified by other common additives that have similar colour to Sudan I. Results showed that an extension of the Sudan I adulterated calibration range increased the robustness of the model. FESAM effectively extracted and enhanced the characteristic peaks of low concentration Sudan I in duck feed, which decreased the limits of detection to 2.5 ppm. The whole detection process was completed very quickly (several minutes) without requiring sample pre-treatment. Therefore, Raman technology combined with image analysis data is a promising technique for detecting Sudan I adulteration in feed. The proposed method may be used to analyse other adulterated feeds with low concentrations of contaminants.
THE KINETICS OF THE FORMATION OF THE MONOSULPHATO COMPLEX OF IRON (III) IN AQUEOUS SOLUTION

The kinetics of formation of the monosulphato complex of iron (III) has been examined spectrophotometrically using a continuous-flow technique over the range of temperatures 15.6 to 34.5 °C in an aqueous medium of ionic strength 0.5 and a range of concentrations of hydrogen ions 0.05 to 0.30 M. The experimental data may be interpreted on the assumption that the significant reactions are a bimolecular association opposed by a first-order dissociation For the forward reaction ΔH≠ is 18.0 kcal mole−1 and ΔS≠ is 19.4 cal mole−1 deg−1.