Miracle-dz/UniFAR-FTUs huggingface dataset:
The measure of agricultural modernization level in Shanxi Province based on entropy method

“Three rural issues” has been the party and the country’s attention to the major issues. The development degree of agricultural modernization directly decides the realization of national modernization. By constructing the evaluation index system of agricultural modernization in Shanxi Province and using entropy method to calculate the development level of agricultural modernization in Shanxi Province, the research results show that the level of agricultural modernization in Shanxi Province generally presents an upward trend, but the rising speed is not fast. Through analysis, it is found that the decrease of its sustainable development level leads to the hindrance of agricultural modernization. On the basis of this analysis, this paper combined with the actual situation of Shanxi Province, from the sustainable development, technology, innovation and other aspects of countermeasures and Suggestions.
Intensive Rehabilitation Program in Arterial Occlusive Disease Patients

Peripheral arterial occlusive disease (PAOD) limits walking efficiency and distance. The main disabling symptom is vasculopathy that leads to claudicatio intermittens and limits walking efficiency. Stretching techniques are effective in treatments for retractions and are used to improve flexibility of triceps surae and range of motion of the ankle. The aim of this study is to evaluate the effects of a combined walking and stretching program on walking efficiency in elderly PAOD patients. Seventy patients with PAOD stage II of the Leriche–Fontaine classification were randomly assigned into a stretching group (SG) or conditioning group (CG). Both groups participated in an eleven-day intensive rehabilitation program based on walking and strength training, while the SG performed five extra sessions of stretching. Walking autonomy was assessed through treadmill and overground tests with the recording of initial and absolute pain. A univariate ANOVA analysis was applied for the differences between the initial and final outcomes. Walking autonomy improved in both groups (p < 0.01), while only the SG improved flexibility (from −14.0 ± 8.1 to −10.3 ± 8.3 cm; p < 0.01). An intensive eleven-day rehabilitation program based on walking, strength, and stretching exercises is effective to improve the onset and the delay of pain during walking in patients with PAOD.
What is the impact of corporate governance on the food industry at different thresholds of internationalization? A review

This research analyzes the dynamic effects of corporate governance, research and development (R&D) innovation, and financial policy on firm business performance under different internationalization threshold structures in Taiwan's food industry during the 2008–2019 period. The results illustrate R&D innovation's negative impact on business performance and the collateralization ratio by directors also has a negative influence. Conversely, the findings reveal that by considering the internationalization threshold effect, at a level of high internationalization, firms have positive influences on R&D innovation, and financial policy has a positive influence on business performance.
Reliability of Finger Photoplethysmogram Assessment: Effect of Mental Stress and Day-to-Day Variability

Frequent assessment of vascular health (e.g., arterial stiffness) may predict the incidence of cardiovascular disease. The Second Derivative of the finger Photoplethysmogram Aging Index (SDPTGAI) may be used as an index of vascular aging and a screening tool for arteriosclerotic disease. To test its reliability as a measurement of arterial stiffness, we compared SDPTGAI with aortic Augmentation Index (AIx) at rest and during short-term mental stress (study 1). In addition, the day-to-day variability of SDPTGAI was evaluated (study 2). In study 1, a total of 31 apparently healthy adults were measured with the photoplethysmogram on the right index finger in the sitting resting condition. Simultaneously, the applanation tonometry was used to record blood pressure waveforms from the left radial artery (for aortic pressure waveform estimation via a general transfer function). Subsequently, 22 subjects underwent a 30-s arithmetic test (double-digit subtraction). In study 2, 10 young adults were measured with SDPTGAI for five consecutive days. In study 1, we found that SDPTGAI was significantly correlated with AIx ( r
Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features

Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols.
Estimation Method of Line Loss Rate in Low Voltage Area Based on Mean Shift Clustering and BP Neural Network

The main problems faced in the line loss management of the distribution network are the incomplete meter configuration, the difficulty of collecting operating data, and the excessive number of components and nodes. These problems lead to a very complicated calculation of line loss rate. This paper proposes an improved BP neural network estimation method for passive low voltage area line loss rate driven by low voltage area characteristic data, and realizes it through programming. First, the characteristic data required for calculating the line loss rate of the low-voltage passive station area is selected and classified according to the station area capacity after standardization. The BP neural network model improved by Mean Shift clustering method is used to calculate the line loss rate for the station area data of the same capacity, which provides scientific basis and data support for the calculation of the station area line loss rate and the management of high-loss stations in the future. A passive low-voltage station with a capacity of 315KVA in Zhejiang Province was used as the modeling object to perform simulation calculations to verify the accuracy of the proposed method.
Natural Inhibitors to Increase the Antioxidant Activity of Yacon Tubers Syrup

Yacon tubers contain various bioactive including flavonoids and phenolic compounds, having antioksidant properties. The aim of the study was to obtain the effect of using natural inhibitors on the antioxidant activity of yacon tubers syrup. Phytochemical tests are used in the determination of flavonoids, phenolic content and antioxidant activity. Total content of phenol and flavonoid were measured by spectrophotometry, while the antioxidant activity was measured by DPPH method. The results showed that the use of natural inhibitors affects the antioxidant activity of yacon tuber syrup. The content of flavonoids and phenolic compounds in yacon syrup using natural inhibitors were 148.093±3.973 and 1244.595±67.672 ppm, significantly different from yacon syrup without inhibitors 100.923±9.277 and 978.912±54.223ppm. Antioxidant activity of syrup with natural inhibitors were 52.888% and IC50: 6.383, while yacon syrup without inhibitors were 24.388% and IC50: 11.180.
Lightweight Residual Network for Person Re-identification

In this paper, we investigated several lightweight convolutional neural network (CNN) classifiers for person re-identification problems. Person re-identification can be described as finding a person by performing a query with a specific person image on some defined gallery of people images. We construct the lightweight CNN classifier by utilizing the lightweight residual network architectures originally used for the CIFAR dataset. The goal is to design a lightweight CNN classifier with a maximum of 3 million number of parameters that produce good accuracy on person re-identification problems. The last layer of the residual network is detached and changed by two fully-connected layers, one for learning the discriminant features, and the other fully-connected layer for calculated the final classification score in the training process. Experiment results show that the ensemble of lightweight residual networks achieved a good performance on Market-1501 (rank-1 accuracy of 89.46% with mAP of 84.48% for single-query and rank-1 accuracy of 92.23% with mAP of 88.07% for multi-query). Although the lightweight residual network does not achieve state-of-the-art performance, our analysis shows that the lightweight residual network has higher information density comparing with other state-of-the-art models. More information density means that the classifier is more efficient in terms of performance with the number of parameters in the classifier. Implementation of these experiments are available at https://github.com/rezafuad/ person-reid-lightweight-residualnet.
Numerical Solution of SIRS model for Dengue Fever Transmission in Makassar Citywith Runge Kutta Method

The aim of this study was to obtain a SIRS model solution for the spread of dengue fever (DF) using the 4th order Runge-Kutta method. The data used was data on the number of dengue cases in Makassar city. The method used is the 4th order Runge Kutta Method. The results of this study are numerical solutions of the SIRS model on the spread of DF in Makassar city using the Runge Kutta method; Model simulation analysis shown that the estimated number of dengue cases in Makassar city, so that the government can take steps to prevent the spread of dengue in Makassar city.
Sensorless control of SMPMSM drive system integrated the differential algebra with the algebraic parameter identification

The differential algebraic sensorless control has the technical features of clear concept and low calculation amount. However, this method is particularly sensitive to motor parameters. Therefore, a differential algebraic sensorless control strategy combined with algebraic parameter identification is proposed and applied to surface mounted permanent magnet synchronous motor (SMPMSM) drive system in this paper. Without the signal injection, the proposed method can promptly and accurately realize the online simultaneous identification of stator resistance and inductance based on the different torque conditions of system, and then the motor parameters used in the differential algebraic sensorless control are updated in time. In addition, the tracking differentiator is designed to accurately obtain the first-order differential of the stator current signal with noises for rotor position estimation. Finally, the effectiveness of the proposed sensorless control method is validated by the simulation results.
Image processing and Pattern Recognition based Plant Leaf diseases Identification and Classification

The relationship between plants and folks are long-lasting and continuous one as we know plants are having major priority plants play an awfully necessary role in our lives. We tend to relay on plants for food, medicines, soaps, furniture, textiles, etc., therefore it’s terribly crucial for us to early observe various styles of diseases in plants to induce higher yielding. Identification of those plant diseases by Oculus technique is incredibly troublesome and time overwhelming. If identification is inaccurate then there would be a large loss in crops and economical worth of market. Therefore, to resolve these issues and to induce higher returns, we are able to use Image process techniques Laptop assisted technology continually provides higher accuracy than the manual work. Therefore, during this research, we tend to perform segmentation using k-means clustering and classification of diseases using Support Vector Machine classifier.
Effects of Fe(III) Oxide Mineralogy and Phosphate on Fe(II) Secondary Mineral Formation during Microbial Iron Reduction

The bioreduction of Fe(III) oxides by dissimilatory iron-reducing bacteria may result in the formation of a suite of Fe(II)-bearing secondary minerals, including magnetite (a mixed Fe(II)/Fe(III) oxide), siderite (Fe(II) carbonate), vivianite (Fe(II) phosphate), chukanovite (ferrous hydroxy carbonate), and green rusts (mixed Fe(II)/Fe(III) hydroxides). In an effort to better understand the factors controlling the formation of specific Fe(II)-bearing secondary minerals, we examined the effects of Fe(III) oxide mineralogy, phosphate concentration, and the availability of an electron shuttle (9,10-anthraquinone-2,6-disulfonate, AQDS) on the bioreduction of a series of Fe(III) oxides (akaganeite, feroxyhyte, ferric green rust, ferrihydrite, goethite, hematite, and lepidocrocite) by Shewanella putrefaciens CN32, and the resulting formation of secondary minerals, as determined by X-ray diffraction, Mössbauer spectroscopy, and scanning electron microscopy. The overall extent of Fe(II) production was highly dependent on the type of Fe(III) oxide provided. With the exception of hematite, AQDS enhanced the rate of Fe(II) production; however, the presence of AQDS did not always lead to an increase in the overall extent of Fe(II) production and did not affect the types of Fe(II)-bearing secondary minerals that formed. The effects of the presence of phosphate on the rate and extent of Fe(II) production were variable among the Fe(III) oxides, but in general, the highest loadings of phosphate resulted in decreased rates of Fe(II) production, but ultimately higher levels of Fe(II) than in the absence of phosphate. In addition, phosphate concentration had a pronounced effect on the types of secondary minerals that formed; magnetite and chukanovite formed at phosphate concentrations of ≤1 mM (ferrihydrite), <~100 µM (lepidocrocite), 500 µM (feroxyhyte and ferric green rust), while green rust, or green rust and vivianite, formed at phosphate concentrations of 10 mM (ferrihydrite), ≥100 µM (lepidocrocite), and 5 mM (feroxyhyte and ferric green rust). These results further demonstrate that the bioreduction of Fe(III) oxides, and accompanying Fe(II)-bearing secondary mineral formation, is controlled by a complex interplay of mineralogical, geochemical, and microbiological factors.
Application of the particle swarm optimization method for the analysis of wide-angle X-ray diffraction curves of semicrystalline polymers

The analysis of wide-angle X-ray diffraction curves of semicrystalline polymers is connected with a thorough decomposition of these curves into crystalline peaks and amorphous components. A reliable and unambiguous decomposition is the most important step in calculation of the crystallinity of polymers. This work presents a new algorithm dedicated to this aim, which is based on the particle swarm optimization (PSO) method. The PSO method is one of the most effective optimization techniques that employs a random choice as a tool for going through the solution space and searching for the global solution. The action of the PSO algorithm imitates the behaviour of a bird flock or a fish school. In the system elaborated in this work the original PSO algorithm has been equipped with several heuristics. The role of heuristics is performed by procedures which orient the search of the solution space using additional information. In this paper it is shown that this algorithm is faster to converge and more efficiently performs a multi-criterial optimization compared with other algorithms used for this purpose to date.
Green tea (Camellia assamica) concentrate as a source of L-theanine used in kombucha fermentation for relaxation drink.

Abstrak Konsentrat teh hijau (Camellia assamica) grade Pekoe yang dihasilkan melalui pemurnian oleh membran mikro-filtrasi (MF) berpotensi sebagai substrat pada fermentasi kombucha untuk efek relaksasi (anti stres) karena kandungan L-theanine yang tinggi. Kegiatan penelitian dilakukan untuk mendapatkan ratio terbaik antara konsentrat teh hijau dan air guna menghasilkan komposisi teh kombucha yang setara dengan teh kombucha komersial sebagai minuman santai. Fermentasi dilakukan pada nisbah konsentrat teh hijau dan air 1:4, 1:3, 1:2, 1:1 dan 1: 0 (v/v) dengan starter Kombucha komersial 0,5 % (b/v) pada suhu kamar selama satu minggu. Sebagai kontrol digunakan teh kombucha dengan nisbah teh hijau komersial dan air adalah 1:0. Hasil penelitian menunjukkan bahwa kandungan L-theanine dalam produk teh kombucha yang setara dengan produk komersial (2,51 % berat kering) dicapai pada nisbah konsentrat teh hijau dan air 1 : 2 (2,16 % berat kering) dan 1:1 (3,01 % berat kering). Selain L-theanine, pada ratio konsentrat teh hijau dan air tersebut teh kombucha yang dihasilkan mengandung total polifenol 1,03 %, total padatan 11,67 %, total asam 0,53 % dan gula pereduksi 27,4 mg/mL, serta jumlah mikroba total log 5,88 CFU/mL atau 7,72 x 10 5 CFU/mL. Abstract Concentrate of green tea ( Camellia assamica ) of Pekoe grade produced through purification by means of microfiltration (MF) membrane is potentially used as a substrate in kombucha fermentation for relaxation (anti stress) due to high L-theanine concentration. This experiment was conducted to find out the best ratio of green tea concentrate and water in order to generate kombucha tea composition that is equal to commercially available kombucha tea as relaxation drink. Fermentation process was performed with green tea concentrate and water ratio of 1: 4, 1: 3, 1: 2, 1: 1 and 1: 0 (v/v) using 0.5 % (w/v) of commercial kombucha starter at room temperature for one week. As a control kombucha tea with ratio of commercial green tea and water of 1 : 0 was used. The result shows that L-theanine content in kombucha tea product equal to commercial kombucha tea (2.514 %, dry weight) was reached at the ratio of green tea concentrate and water of 1 : 2 (2.16 %, dry weight) and 1 : 1 (3.01 %, dry weight). Beside L-theanine, kombucha tea resulted from this ratio of green tea concentrate and water contains total polyphenol 1.03 %, total solids 11.67 %, total acids 0.53 % and reducing sugar 27.4 mg/mL, and total microbial counts of log 5.88 CFU/mL or 7.72 x 10 5 CFU/mL.
Study of B-spline collocation method for solving fractional optimal control problems

In this article, a class of fractional optimal control problems (FOCPs) are solved using a direct method. We present a new operational matrix of the fractional derivative in the sense of Caputo based on the B-spline functions. Then we reduce the solution of fractional optimal control problem to a nonlinear programming (NLP) one, where some existing well-developed algorithms may be applied. Numerical results demonstrate the efficiency of the presented technique.
Investigation on Structural Behavior of Bamboo Reinforced Concrete Slabs under Concentrated Load

Reinforced concrete is perhaps the most widely used building material in the world. However, the materials used for reinforcement of concrete i.e. steel is quite expensive and scarcely available in the developing world. As a result, bamboo is considered to be a cheaper replacement with high tensile strength. This research investigated the structural behaviour of bamboo-reinforced concrete slabs used for footplate foundation subjected to concentrated load. For this purpose, four different reinforced concrete slab panels were developed and analyzed. The influence of replacing steel with bamboo for the reinforcement of concrete slabs on their structural behaviour was assessed by determining the load-deflection characteristics, the ultimate load, the stiffness, the ductility, the cracking pattern, and the energy absorption capacity. The results showed that in comparison to steel reinforced concrete slabs, the strength of 82% can be acquired by the bamboo reinforced slabs. Furthermore, ductility demonstrated by the two types of specimens was almost equivalent i.e. up to 93%. Those indicated that the structural behaviour demonstrated by bamboo reinforced slabs is quite comparable to that of steel reinforced concrete slabs. Therefore, bamboo can prove to be a promising substitute for steel in concrete reinforcement. Future studies may further examine this opportunity.
Analysis of the Relationship Between Preoperative Arterial Oxygen Partial Pressure and Acute Kidney Injury after Surgery for Tetralogy of Fallot and Explore the Related Risk Factors

Background: Acute kidney injury (AKI) is a severe complication of pediatric cardiothoracic surgery (CTS). It is debatable whether patients with the low preoperative arterial partial pressure of oxygen (PaO2) are more likely to develop AKI after surgery. The study aims to investigate the incidence and possible influencing factors of AKI in patients undergoning the radical operation of tetralogy of Fallot (TOF) with different preoperative oxygen partial pressure. Methods: In this retrospective clinical study, 36 pediatric patients who underwent CTS were enrolled in this study. The patients were divided into 4 groups according to preoperative PaO2. We examined the baseline data and outcomes of the study population among groups.Results: Of the 36 patients, 17 developed AKI. Compared with the high preoperative PaO2 group, the low preoperative PaO2 group mostly had severe AKI and persistent, but there was no significant difference in AKI among groups (P＞0.05). In the 48-hour continuous monitoring after surgery, the oxygen metabolism indexes (Pv-aCO2/Ca-vO2) were correlated with AKI and there were significant differences among the groups. Conclusions: Low preoperative PaO2 does not significantly increase the incidence of AKI and Pv-aCO2/Ca-vO2 is associated with postoperative AKI and persistent.
Preschool teachers and caregivers’ lack of repositioning in response to changed responsibilities in policy documents

Preschool teachers and caregivers have a close working relationship as part of a working team to benefit the children in Swedish preschools. In 2011, a new educational reform was introduced according to which preschools became a school form in their own right within the overall educational system in Sweden. The objective of the policy was to strengthen the profession of preschool teachers by affording them clearer responsibility over the quality of educational practices and curriculum work. It also entailed a division of labour between the preschool teachers and caregivers in the working team. The current study explored how Swedish preschool teachers and caregivers positioned themselves in response to these changes in responsibility. In this qualitative study, data were collected from 17 preschool teachers and caregivers via an open-ended questionnaire. Preschool teachers and caregivers viewed themselves as having equal responsibility in the working team. Specifically, preschool teachers upgraded the competence and position of caregivers while downgrading their own professional competence and position. Caregivers downgraded the profession and position of preschool teachers and upgraded their own competence and position to be equal to that of preschool teachers.