Miracle-dz/UniFAR-FTUs huggingface dataset:
Gesture Recognition Method Based on Wireless Data Glove

A gesture recognition method based on wireless data glove was provided, and this method could be used in large scenes convenient interactive exhibition application, theme pavilion application, entertainment, etc. CC2530 chip was selected as the main chip of the wireless data glove, four fingers buttons on the wireless data glove were set up, Xsens MTi sensor was used to acquire glove data in real-time, and the wireless communication was completed using the RS232 serial interface. After acquiring glove data, the data was conversed, and glove movement toward, acceleration, rotation and other features were extracted. Then gesture comparison was completed, and gesture recognition was finished. Finally, the results show that the method is feasible and valid. The system has been used in practical projects.
Dynamic characteristics and Functional Analysis Provide new insights into the role of GauERF105 in resistance against Verticillium wilt in Cotton

Verticillium wilt is the most devastating disease of cotton and it results in huge yield losses every year in the fields. The underlying mechanisms of VW in cotton are not well explored yet. In the current approach we used the transcriptome data from G. australe in response to Verticillium wilt attack to mine the ERF TFs and prove their potential role in resistance against VW attack in cotton. We identified 23 ERFs in total, and on the basis of expression at different time points i.e., 24h, 48h and 72h post inoculation and selected GauERF105 for further validation. We performed VIGS in cotton and over expression in Arabidopsis respectively. Moreover, DAB and trypan staining also suggests that the impact of disease was more in the wildtype as compared to transgene lines. On the basis of our results, we confirmed that GauERF105 is the key candidate and playing a key role for defending cotton against VW attack. Current finding might be helpful for generating resistance germplasm in cotton and it will be beneficial to recover the yield losses in field.
Grounding Grids Corrosion Diagnosis Using a Block Dividing Approach

For fault diagnosis,concepts of blocks and their prototypes,uncertain-branch groups and their prototypes,projection of blocks and part of touchable nodes are defined,and a new approach of diagnosing the fault of grounding grids by blocks is put forward.According to the desired fault diagnosis area,the blocks together with their projections and the parts of touchable nodes,which participate in the diagnosis,are determined.According to tested data of the corresponding parts,the resistances of intrinsic branches in a block can be determined by a linear least square method,by which the resistances of clear branches in the block can be worked out.The ranges of resistances of uncertain-branches in the block are also evaluated by a dichotomy algorithm.With the proposed approach,a grounding grid can be divided into several small-scale sub-grids.As a result,the efficiency is improved and the cross-interferences are reduced.An experimental grounding grid with thirty-eighty branches is used as an example.The results of fault diagnosis show that the proposed approaches are feasible,and only a few tests are needed to meet the requirements of diagnosing a certain part of the grounding grid.
Bibliometric Analysis and Development Proposals on China's System of Systems Engineering Research

To describe the domestic research development on system of system engineering,a systematic bibliometric analysis is performed on the data of openly published research papers from 1990 to 2012. By combining key words in system of systems research,a tailored data extraction mode is proposed owing to its specialty. The data preparation and methodology is introduced firstly. Based on the distribution characteristics of publication time,the developing stage of system of systems is then discussed. According to the distribution characteristics of related journals,the influential ones are analyzed. With the distribution characteristics of concerning authors and institutes,leading ones in the area are found. After analyzing the distribution characteristics of key words listed in papers,the current domestic research status and the knowledge map of the area are pictured. Finally,a series of systematic conclusions was drawn and some suggestions on future development are given.
Expectation violations produce error signals in mouse V1

Repeated exposure to visual sequences changes the form of evoked activity in the primary visual cortex (V1). Predictive coding theory provides a potential explanation for this, namely that plasticity shapes cortical circuits to encode spatiotemporal predictions and that subsequent responses are modulated by the degree to which actual inputs match these expectations. Here we use a recently developed statistical modeling technique called Model-Based Targeted Dimensionality Reduction (MbTDR) to study visually-evoked dynamics in mouse V1 in context of a previously described experimental paradigm called “sequence learning”. We report that evoked spiking activity changed significantly with training, in a manner generally consistent with the predictive coding framework. Neural responses to expected stimuli were suppressed in a late window (100-150ms) after stimulus onset following training, while responses to novel stimuli were not. Omitting predictable stimuli led to increased firing at the expected time of stimulus onset, but only in trained mice. Substituting a novel stimulus for a familiar one led to changes in firing that persisted for at least 300ms. In addition, we show that spiking data can be used to accurately decode time within the sequence. Our findings are consistent with the idea that plasticity in early visual circuits is involved in coding spatiotemporal information.
Modeling of switched reluctance motor based on GA-ANFIS

To improve the convergence speed of modeling for switched reluctance motor(SRM) using adaptive network based fuzzy inference system(ANFIS),a mathematic model for SRM was proposed.This method combined the genetic algorithms(GA) with ANFIS.The fuzzy neural networks adopted Takagi-Sugeno model which has strong robustness and adaptability.GA were introduced to traditional hybrid algorithm of ANFIS to improve the training speed during parameter training.Based on testing sample data of 8/6 SRM,the inductance and torque models were established.The simulation results test that the new model has the merits of higher precision and strong generalization ability,and the convergence speed is improved more than twice.The SRM system were simulated with the trained inductance and torque models.Compared with the actual system,the current waves are similar.This proves the new modeling method is correct and feasible.
Solution of Medium Power Grid-connected PV Inverter Radiation Emission

In order to improve the efficiency of Power Grid-connected PV Inverter, semiconductor devices tend to use a faster switching speed to reduce the switching losses. Increase the switching speed, resulting in the increase of di/dt in the circuit, and the corresponding increase of the EMC interference. It is difficult to pass the relevant standards for the conduction emission and the radiation emission. This paper is taken medium power grid-connected PV Inverter as an example. Analysis and find the source of radiation emission, take special measures such as shielding, reduce common mode current of power line, and finally meet standard requirements.
Study of Navigation Safety Evaluation in navigable Waters

In order to evaluate ship navigation safety in navigable waters quantitatively,the method of fuzzy synthesis judgment is applied to establish a safety evaluation model for the navigable waters of main China's ports.According to the 11 main factors that affect navigation safety in navigable waters,a comprehensive evaluation model is established.The gray correlation analysis and factor analysis are used to determine weighted coefficients of evaluation index.In the paper,safety evaluations for the navigable waters of 10 China's main harbors are carried out.
RANLP 2019 12 th Workshop on Building and Using Comparable Corpora

We present an approach for exploring the lexical choice patterns in translation on the basis of word embeddings. Specifically, we are interested in variation in translation according to translation mode, i.e. (written) translation vs. (simultaneous) interpreting. While it might seem obvious that the outputs of the two translation modes differ, there are hardly any accounts of the summative linguistic effects of one vs. the other. To explore such effects at the lexical level, we propose a data-driven approach: using neural word embeddings (Word2Vec), we compare the bilingual semantic spaces emanating from source-totranslation and source-to-interpreting.
Assessment Of Serum C- Reactive Level InPatients With Peri-Implantitis- A ClinicalStudy

Background: Peri-implant disease is a chronic inflammatory condition caused by bacterialplaque contamination. The present study was conducted to assess serum Creactive level inpatientswith peri-implantitis. Materials & Methods: 40 radiographically and clinically confirmed patients with periimplantitis and equal number of controls was enrolled. Patients were divided into 2 groups.Group I was patients with periimplantitis and group II were healthy control. Serum Creactiveproteins levelsweredetected with autoanalyser. Results: There were 25 males and 15 females in group I and in group II, 22 males and 28females. The mean serum Creactive protein level in group I was 412.6 pg/ml and in groupIIwas 194.2 pg/ml. Thedifferencewas significant (P< 0.05). Conclusion: There was increased serum C reactive level in patients with periimplantitis.
To Enhancing the Agricultural Sector by Using IOT Enabled CNN Techniques

By the growth of world population, most of the Countries that focusing in an agricultural sector, by improving the majority of food production is very important role in the global economy. With the help of IOT Concepts, the massive agriculture improvement Technology has been widely using modern Agricultural farming [1, 2]. This research effort that implies the Guidance of tools and Techniques to overcome the Agricultural challenges like sensing the temperature of water and soil management, soil humidity, needed nutrients, disease detection, analysing the plant growth, water consumption, crops cultivation. To tackle the problems in un high yielding. There are several AI techniques have been explored, likewise, by enhancing the techniques of CNN in Agriculture to yields the high performance for the end users. The layers of CNN are easy to reduce the effort of manpower by using Mobile Applications based solutions and proposing the Surveillance system to identify the Automatic crop cultivation with accurate solution [2].
GOVERNING THE COMMONS TO ATTAIN LAND DEGRADATION NEUTRALITY IN LESOTHO BY 2030

Land degradation is labeled as a universal problem that corrodes the three pillars of Sustainable development: social, environmental and economic. Social and ecological processes are frequently treated as different units and yet this is where environmental problems emanate. In an effort to address land degradation, the UNCCD (United Nations Convention to Combat Desertification) drafted a concept called Land Degradation Neutrality (LDN) which was later adapted into the Sustainable Development Goals. The UNCCD invited countries to set their voluntary LDN targets and Lesotho followed suit. With Lesotho’s targets in place, this study aims to analyse how Lesotho can facilitate effective implementation of LDN through understanding of the local socio ecological factors contributing to degradation and their interlinkages. The study focuses on Lesotho’s rangeland socio-ecological system as an area of prime concern due to its being the major land cover (60%), the benefits derived from rangelands and the vulnerability to erosion. To analyse the rangeland socio-ecological system (SES), the study employed the Socio-Ecological System Framework, designed by Elinor Ostrom and fellow scholars. A detailed desk analysis was compiled, and a survey was undertaken in Lesotho with the use of an online survey software. Results from the study describe Lesotho’s rangeland SES as unique in terms of the hierarchy and power dynamics. The role of Chiefs in land management is crucial and a potential bottleneck in the system. Ineffective implementation of laws causes rangelands to be susceptible to degradation. The results further indicate that practices that are deeply embedded in the farming culture such as rest rotation (leboella) should be widely adopted. In terms of local indigenous knowledge, herd boys were recognized as a vital component in the rangeland SES and the governing system (i.e. ministries) should utilize their knowledge as they are the major custodians of rangelands in Lesotho. The study therefore offers insight on how Lesotho can act locally towards the greater achievement of the LDN as a global goal. Land Restoration Training Programme Keldnaholt, 112 Reykjavik, Iceland UNU Land Restoration Training Programme ii
AYURVEDIC ABSTRACT REGARDING ORAL HEALTH

Oral disease continue to be a vital health problem world-wide with the incidence of halitosis, plaque, gingival inflammation and other disorders are on the rise in developing Countries. For prevention of oral diseases, modern medicine has had only limited success. Some types of viruses, bacteria, mouth and nasal cavity attack first . So we should be vigilant towards oral health. So there is a global need for safe and effective alternative preventive or therapeutic strategies for oral health. Ayurveda texts and researches have shown that chewing sticks described in ancient Ayurveda texts have medicinal properties. Kavala and gandoosh kriyas are claimed to cure several oral disease. Scientific validation of the Ayurveda dental health practices could justify their incorporation into modern dental care. In this paper an attempt has been made to review various Ayurvedic therapeutic procedure such as dantadhawan (Chewing sticks), kavala, gandoosh and jihwanirlekhan and herbal plants for the prevention and the treatment of oral health and hygiene mentioned in Ayurveda.
Socrates, 2021, Nr. 3 (21)

Analysing the problematic aspects of the legal regulation of local self-government of the Republic of Lithuania related to the realisation of the rights provided for the minority (opposition) of the municipal council in the Law on Local Self-Government and other legal acts, the following empirical research was performed. During the research, the method of interviews was used in order to identify, as precisely as possible, the problems of the realisation of the rights of political minorities (opposition) in the whole Lithuanian municipality. It is the interview method that was chosen to ensure the interaction between the researcher and the respondent, which enables to obtain the widest and deepest possible information in identifying practical problems and also allows to collect the detailed data needed to solve the identified problems. The interview focused on the target group of respondents from many different Lithuanian municipalities who are fully acquainted with the practical aspects of the realisation of the minority rights of the council. All respondents are current or former opposition members of municipal councils. With the aim of maximising practical benefits, as many as thirty respondents were interviewed in this research.
PHYTOPLANKTON COMMUNITY STRUCTURE AND ITS RELATIONSHIP WITH ENVIRONMENTAL FACTORS IN TAIHU NATIONAL WETLAND PARK IN NORTHEAST CHINA

In order to understand the community structure of phytoplankton and its relationship with environmental factors in Taihu National Wetland Park in northeast China, a study was conducted in Taihu in September 2020. The results showed that there were 39 species of phytoplankton belonging to 27 genera and 6 phyla, among which Chlorophyta was the most abundant (20 species). The abundance and biomass of 5# and 6# sampling sites were significantly higher than other sampling sites, which may be caused by eutrophication. In Taihu National Wetland Park, the dominant species were Merismopedia minima, Aphanizomenon flosaquae, Synedra acus, Synura.sp and Scenedesmus quadricauda. Phytoplankton community structure in autumn in Taihu National Wetland Park were mainly influenced by pH, NO3-N, and water temperature. This research can provide a scientific basis for biodiversity protection and pollution control in Taihu National Wetland Park.
Review on Power Converters for Electric Vehicles

The utmost protuberant concern in the Electric Vehicles (EVs) primarily is the process by which the charging of the batteries should be done and secondly the growing appeal of power required due to the quick demand of electric power necessitated by EVs, Hybrid Electric Vehicles (HEVs) and Plug-in Hybrid Electric Vehicles (PHEVs). There has been a detailed, critical evaluation of converters that are being used for the charging modules of electric vehicles. This paper has enlisted seventeen power converters that are being used within the charging modules of electric vehicles in terms of their features, performance parameters, advantages, disadvantages, circuit complexities and cost. Further it has been illustrated that owing to the simplicity of structure and operational mode, electric vehicles are much more efficient than HEV and PEV. Amongst these seventeen converters, the use of four converters namely Half Bridge LLC (HBLLC), Full Bridge LLC resonant converter (FBLLC), EF2 converter and Full Bridge (FB) converters are gaining popularity. This is due to the fact that these converters have an increased factor of efficiency and improved performance. Therefore a fair conclusion states that the use of FB LLC resonant converter best suited for the charging modules of electric vehicle applications. Keywords— Electric vehicle, Bridge converter, Bidirectional converter, Resonant Converter.
Peepal and Mixed adsorbent

In this study, two adsorbents Neem and Peepal were prepared from the leaves of Azadirachta indica (Neem) and Ficus religiosa (Peepal). During batch studies, four parameters i.e., pH, adsorbent dose, contact time and initial metal ion concentration were studied. It was observed that the optimum pH, adsorbent dose, contact time and initial metal ion concentration for Neem were 9, 0.14g/50ml, 120 minutes, and 5 mg/l respectively. For Peepal, the optimum pH, adsorbent dose, contact time and initial metal ion concentration were 9, 0.12g/50ml, 80 minutes, and 5 mg/l respectively. For Mixed adsorbent, the optimum pH, adsorbent dose, contact time and initial metal ion concentration were observed 9, 0.10g/50ml, 160 minutes, and 5 mg/l respectively. The Freundlich adsorption isotherm was well fitted than Langmuir adsorption isotherm in all cases.
Reflection Techniques in Real-Time Computer Graphics

Reflections have a long history in computer graphics, as they are important for conveying a sense of realism as well as depth and proportion. Their implementations come with a multitude of difficulties, and each solution typically has various trade-offs. Approaches highly depend on the geometry of the reflective surface since curved reflectors are usually more difficult to portray accurately. Techniques can typically be categorized by whether they work with the actual geometry of the reflected objects or with an image of these objects. For curved surfaces, image-based techniques are usually preferred, whereas for planar surfaces the reflected geometry can be used more easily because of the lack of distortion. With current advances in graphics hardware technology, ray tracing is also becoming more viable for real-time applications. Many modern solutions often combine multiple approaches to form a hybrid technique. In this paper, we give an overview of the techniques used in computer graphics applications to create real-time reflections. We highlight the trade-offs that have to be dealt with when choosing a particular technique, as well as their ability to produce interreflections. Finally, we describe how contemporary state-of-the-art rendering engines deal with reflections
Effect of Nanopriming with Zinc Oxide and Silver Nanoparticles on Storage of Chickpea Seeds and Management of Wilt Disease

Chickpea is an important pulse crop of India, but its productivity is quite low due to several biotic and abiotic stresses. Low seed vigor is one of the issues that occur due to changes in different biochemical properties during improper storage condition. To overcome the biochemical activity during storage, seed priming is a promising strategy. In the present study, two nanopriming agents viz., Zinc Oxide Nanoparticles (ZnONPs) and silver Nanoparticles (AgNPs) were evaluated for biochemical activity (Peroxidase activity, alpha amylase activity, total soluble sugar, total protein) of chickpea at 2, 4, 6 and 9 months storage period after priming for 1, 2, and 6 hours. Result showed increased activity of Peroxidase (POX) with increase of storage time, but the rate of increase was comparatively low when seeds were nanoprimed with ZnONPs. Similarly, alpha amylase activity and protein content were recorded highest and Total Soluble Sugar (TSS) was found lowest in ZnONPs primed seed. Out of the different priming times, 6 hrs was found to be the best at 9 months of storage with positive effect on biochemical parameters. Among the biotic stresses, disease caused by Fusarium oxysporum f.sp. ciceri has been considered as a destructive one, which causes yield loss up to 10% every year. To overcome the biotic stress and enhance the storage life, chickpea seeds were primed with ZnONPs and AgNPS at 100 ppm alone and in combination with each other. We found positive effect on seed germination (%), plant growth, and yield attributing parameter and negative effect on per disease incidence of F. oxysporum f.sp. ciceri.
The Ethical Organizational Culture of University Hospitals in Finland

The purpose of this paper is to describe the ethical organizational culture, and to identify factors predicting the ethical culture of Finnish university hospitals. In Finland, the restructuring of health and social services raise issues related to values and ethics as well as leadership. Data were collected using the 58-item Corporate Ethical Virtues (CEV) scale by Kaptein [1]. Data were analyzed using descriptive statistics, parametric tests, and logistic regression models with the enter method. Participants gave the highest ethical culture ratings for clarity, congruency of supervisors, and discuss ability, and the lowest for the congruency of senior management, supportability, and transparency. The strongest predictors of a stronger ethical organizational culture were age, profession, work experience, level of management, and the number of subordinates. Evidence generated by this study could be put to good use in identifying the strengths and weaknesses of the organizations and developing educational interventions for managers. International Journal of Nursing and Health Care Research Salonen P, et al. Int J Nurs Health Care Res 4: 1259. https://www.doi. org/10.29011/2688-9501.101259 www.gavinpublishers. com Citation: Salonen P, Leino K, Lepistö S, Kaunonen M, Helminen M, et al. (2021) The Ethical Organizational Culture of University Hospitals in Finland Int J Nurs Health Care Res 4: 1259. DOI: 10.29011/2688-9501.101259
Molecularly Imprinted Polymer Sensor for Triclosan Sensing

In this study, a MIP sensor was developed for quantitative triclosan detection in 13 wastewater samples. Qualitative analysis of the samples was also performed by using an electronic 14 nose. The MIP sensor exhibits responses proportional to triclosan concentrations (0.1–1000 pg/mL) 15 with a detection limit of 0.23 pg/mL. The sensor was applied for Triclosan detection in spiked 16 wastewater samples with a significant recovery (99%). Radar plots constructed from E-nose re17 sponses show different chemical signatures according to analyzed samples. Results from both sens18 ing systems were employed to build a model by using partial least scare (PLS) with correlation co19 efficient R = 0.98. 20