Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparative analysis of the anaesthetic effect of sodium bicarbonate (NaHCO3) on male and female three spotted tilapia (Oreochromis andersonii)

ABSTRACT The anaesthetic effect of sodium bicarbonate (NaHCO3) on male and female three spotted tilapia (Oreochromis andersonii) was investigated. A total of 210 broodstock O. andersonii (weight: 160 ± 10 g) of different sexes were immersed in NaHCO3 at concentrations of 0, 5, 10, 15, 20, 25 and 30.0 g/L in triplicates. The induction and recovery times were monitored using a stopwatch. The induction and recovery times at all stages of anaesthesia for both sexes were significantly higher at concentrations ≥10 g/L. The induction times were significantly longer in the male fish than in the female at concentrations of 15 g/L for stages 1, 20 g/L for stages 1 and 2, 25 g/L for all the stages and 30 g/L for stage 2. The recovery time for male fish was significantly longer than that of the female fish at concentrations of 10 g/L for stages 2 and 3, 15 g/L for stage 1 and 20–30 g/L for stages 1 and 2. Overall, the induction and recovery times of the three spotted tilapia broodstock exposed to different concentrations of NaHCO3 could be affected by sex. Therefore, 30 and 25 g/L of NaHCO3 concentrations are recommended for use in male and female broodstock, respectively.
Modeling the demand across three major protein sources: Focusing on seafood protein

Abstract Despite recent dramatic growth in seafood consumption worldwide, knowledge about seafood demand is limited relative to other protein sources. We model demand across three major protein categories (i.e., terrestrial meat, seafood, and plant-based protein) in South Korea to fill the research gap. This study models a quadratic almost ideal demand system (QUAIDS) by utilizing household panel data. The study takes this one step further by modeling demand within four seafood categories (i.e., fish, cephalopods, shellfish, and crustaceans). Sociodemographic variables, including health-related factors, are incorporated into the demand models. Results indicate that seafood is in a complementary relationship with terrestrial meat while it is a substitute for plant-based protein. All four seafood categories are a substitute for each other. The results reveal that people who take their health seriously tend to consume more seafood, particularly fish. The results have economic and marketing implications for which strategies could be adopted to influence seafood consumption.
WDBM: Weighted Deep Forest Model Based Bearing Fault Diagnosis Method

: In the research field of bearing fault diagnosis, classical deep learning models have the problems of too many parameters and high computing cost. In addition, the classical deep learning models are not effective in the scenario of small data. In recent years, deep forest is proposed, which has less hyper parameters and adaptive depth of deep model. In addition, weighted deep forest (WDF) is proposed to further improve deep forest by assigning weights for decisions trees based on the accuracy of each decision tree. In this paper, weighted deep forest model-based bearing fault diagnosis method (WDBM) is proposed. The WDBM is regard as a novel bearing fault diagnosis method, which not only inherits the WDF’s advantages-strong robustness, good generalization, less parameters, faster convergence speed and so on, but also realizes effective diagnosis with high precision and low cost under the condition of small samples. To verify the performance of the WDBM, experiments are carried out on Case Western Reserve University bearing data set (CWRU). Experiments results demonstrate that WDBM can achieve comparative recognition accuracy, with less computational overhead and faster convergence speed.
Detection of Common Arrhythmias by the Watch-PAT: Expression of Electrical Arrhythmias by Pulse Recording

Background The WatchPAT (WP) device was shown to be accurate for the diagnosis of sleep apnea and is widely used worldwide as an ambulatory diagnostic tool. While it records peripheral arterial tone (PAT) and not electrocardiogram (ECG), the ability of it to detect arrhythmias is unknown and was not studied previously. Common arrhythmias such as atrial fibrillation (AF) or premature beats may be uniquely presented while recording PAT/pulse wave. Purpose To examine the potential detection of common arrhythmias by analyzing the PAT amplitude and pulse rate/volume changes. Patients and Methods Patients with suspected sleep disordered breathing (SDB) were recruited with preference for patients with previously diagnosed AF or congestive heart failure (CHF). They underwent simultaneous WP and PSG studies in 11 sleep centers. A novel algorithm was developed to detect arrhythmias while measuring PAT and was tested on these patients. Manual scoring of ECG channel (recorded as part of the PSG) was blinded to the automatically analyzed WP data. Results A total of 84 patients aged 57±16 (54 males) participated in this study. Their BMI was 30±5.7Kg/m2. Of them, 41 had heart failure (49%) and 17 (20%) had AF. The sensitivity and specificity of the WP to detect AF segments (of at least 60 seconds) were 0.77 and 0.99, respectively. The correlation between the WP derived detection of premature beats (events/min) to that of the PSG one was 0.98 (p<0.001). Conclusion The novel automatic algorithm of the WP can reasonably detect AF and premature beats. We suggest that when the algorithm raises a flag for arrhythmia, the patients should shortly undergo ECG and/or Holter ECG study.
Intraregional effect of IPOs on firm-level real earnings management: evidence from the governance role of financial analysts

ABSTRACT Using 12,950 firm-year observations of Chinese listed companies from 2010 to 2019, we find that city-level IPOs have positive spillover effects on real earnings management of regional incumbent firms. We identify the geographical segmentation of the governance role of financial analysts as the underlying explanation. IPOs distract analysts from previously covered regional peers and make them less effective in monitoring earnings manipulation through real actions. The findings are driven mainly by firms experiencing reduced analyst attention and weaker for firms monitored by other types of governance mechanisms. We rule out alternative explanations of intraindustry spillover effect or resource competition.
Bathtub ECG as a Potential Alternative to Light Stress Test in Daily Life

The exercise stress test (EST) is a common procedure to evaluate cardiovascular functions. However, the EST is not suitable for daily use, is sometimes risky, and even accompanies fatal incidents of myocardial infarction, arrhythmia, and sudden death during the test. The aim of this study was to evaluate heart rate variability (HRV) behaviors in the EST and during bathing, and to explore if daily bathing can serve as a potential alternative means of performing the EST. Electrocardiogram (ECG) signals were collected from 10 healthy subjects during the EST and bathing test (BT). The EST follows the modified Bruce protocol. ECG collection in the BT was conducted at five water temperatures ranging from 37 to 41 degrees Celsius (°C); each BT lasted 15 min. Twenty-three HRV features were used to group different bathing conditions corresponding to the EST stages using the Voronoi diagram method in terms of HRV behaviors. In all equivalent EST stages of BTs at the five water temperatures, the low stage, medium stage, and high stage account for 17.86%, 52.86%, and 29.29%, respectively. The results show that higher water temperatures and longer bathing durations in BT correspond to higher stages in the EST. The BT at the most severe condition of 41 °C and 15 min corresponds to a high EST stage in terms of HRV behavior. The results suggest that daily bathing can serve not only for healthcare monitoring but also as a reference for an at-home alternative to the EST.
Exploration and Research on the Cultivation of Innovation and Entrepreneurship Ability in College Mathematics Teaching

With the advent of the global information age and the rapid development of modern science and technology and social economy, the competition in the global higher education employment market is becoming more and more fierce. Facing the new challenges of talent training, we must firmly grasp the main line of "innovation and entrepreneurship ability training" in order to cultivate more compound excellent innovative talents for the country. Through the exploration and Research on the cultivation of college mathematics innovation and entrepreneurship ability, this paper has carried out various forms of teaching method reform, teaching mode reform and teaching content reform of college mathematics teaching innovation, continuously explored and deepened the effective breakthrough of college mathematics innovation and entrepreneurship education, in order to meet the new challenges of talent cultivation in Higher Education in China, It provides an effective new idea for innovating and reforming college mathematics education.
Observation-Resistant Multifactor Multimodal Authentication

This thesis investigates the use of hand gestures as an additional modality in authentication schemes, to thwart the risk of observation (shoulder surfing) attacks. We used the accelerometer already embedded in the iPod Touch to gather accelerometer signals, which were used to conduct experiments on how accurately we could recognize and differentiate different gestures. We restricted ourselves to a pre-defined set of gestures, and achieved an EER of 5% on the controlled wrist movements, and 8% after including two circular motions. The algorithms we used were tailored to fit the limited computational power of the iPod Touch, as we needed a recognition module that could be used in real time for our authentication schemes. After assessing the characteristics of the different hand gestures, we developed two unique authentication schemes that incorporate hand gestures as an additional modality for authentication. We developed suitable attack scenarios, and found that both schemes adds additional entropy to the scheme, as well as a significant amount of shoulder surfing resistance.
A dual‐system trusted computing node construction method based on ARM multi‐core CPU architecture

Computer node security is the source and foundation of information system security. Trusted computing dual system architecture is an important implementation method to solve the security assurance by establishing the dual system of computing nodes, on the one hand, to achieve isolation on the other hand to achieve the active metrics of the system. This article systematically analyzes the dual architecture of trusted computing, summarizes the security assurance implementation of the dual architecture of trusted computing as the problem of trusted platform control module (TPCM) trusted root parallel access bus, and designs and implements it using ARM multi‐core CPU architecture, and designs the basic hardware security assurance capabilities such as TPCM resource isolation, active metrics, secure communication and other key components of trusted cryptography module and trusted software base based on it, thus implementing the two core mechanisms of trustworthy computing, namely, trust chain construction and dynamic metrics, are implemented. The design of system integration in computing node devices based on this ARM multi‐core CPU architecture is proposed, and the related design and implementation methods are proposed, and finally, the prototype implementation and test verification are performed on the Phytium CPU platform.
Kompleksowa ocena psychospołecznych warunków pracy kierowców autobusów miejskich i dalekobieżnych

Celem badania przedstawionego w artykule była kompleksowa ocena psychospołecznych warunków pracy kierowców autobusów miejskich i dalekobieżnych. Badaniem objęto 500 kierowców autobusów z 52 różnych firm przewozowych. Narzędziem badawczym był Kopenhaski Kwestionariusz Psychospołecznych Warunków Pracy – COPSOQ II. Analizę przeprowadzono za pomocą testu t-studenta, w którym porównywano średnie wyników kierowców miejskich i dalekobieżnych. Przeprowadzone badanie wykazało, że kierowcy tych pojazdów nie stanowią jednorodnej grupy zawodowej pod kątem występujących zagrożeń psychospołecznych w środowisku pracy. Kierowcy autobusów miejskich mają wyższy poziom wymagań emocjonalnych i tempa pracy, różnią się także od kierowców autobusów dalekobieżnych pod kątem warunków organizacji pracy oraz poziomami stresu i dobrostanu.
Original Basic Activation for Enhancing Silica Particle Reactivity: Characterization by Liquid Phase Silanization and Silica-Rubber Nanocomposite Properties

Silica fillers are used in various nanocomposites in combination with silanes as a reinforcing filler. In tire technology, silica is generally functionalized before (pre-treated) or during mixing (in-situ silanization or post-treated). In both cases, a soft base catalyst (e.g., triethylamine or diphenyl guanidine, DPG) is typically used to accelerate and increase the yield of the silane/silica coupling reaction. In this study, we investigated how pre-treatments of silica particles with either strong amine or hydride bases impact the silanization of silica prior to or during SBR mixing for silica-rubber nanocomposite fabrication. Our findings are supported by molecular characterization (solid state 29Si NMR, 1H NMR and TGA), and scanning electron microscopy. In addition, the impact of these silica pre-treatments on a nanocomposite’s mechanical properties was evaluated using dynamic mechanical analysis (DMA).
AN EMPIRICAL STUDY ON THE INFLUENCE OF UGC & WEB TALK ON BRAND ATTITUDE

: Social Media and Social Networking Sites are integrated part of our life today. Innovative features of Social Networking sites have empowered customers to share their own experiences with millions of other members, after consuming a product or service. These shared experiences of other users have been influencing the perception of other customer in building the attitude towards the brand because customers emphasizes more on user generated contents and social web talks than brand promoted contents and advertisements. Digitally exposed customers encounter with hundreds of user generated contents and electronic word of mouth every day. Present study used ‘Stimulus-Response’ framework to evaluate the influence of Brand related user generated content & electronic word of mouth on Brand Attitude. Responses from 256 respondents had been recorded and analyzed with help of suitable statistical applications to reach the conclusion. The study also evaluated combined influence of user generated content and electronic word of mouth on brand attitude and observed strong correlation between UGC & eWOM with brand attitude.
An Efficient Traffic-aware Caching Mechanism For Information-centric Wireless Sensor Networks

This paper proposes a traffic-aware caching mechanism (TCM) for resource-constrained nodes in information-centric WSNs. TCM pushes up popular upstream content objects to be cached nearby the sink. Less popular content objects are cached farther from the sink compared to popular content objects. TCM also pushes down popular downstream content objects to be cached inside the network. The objective of TCM is to reduce the number of interest messages required forwarding in multiple hops inside WSNs to optimize stretch ratio, energy efficiency, and content retrieval latency. We implement TCM on the top of existing popularity-based caching schemes to improve their performance. Through analysis and experimental results, we show that TCM achieves a significant improvement in terms of energy efficiency, content retrieval latency, cache hit ratio, and stretch ratio compared to state-of-the-art popularity-based caching schemes.
A Method to Determine the Efficacy of a Commercial Phage Preparation against Uropathogens in Urine and Artificial Urine Determined by Isothermal Microcalorimetry

Background: Urinary tract infections are commonly encountered and often treated with antibiotics. However, the inappropriate use of the latter has led to the appearance of resistant strains. In this context we investigate the use of calorimetry to rapidly determine if a phage cocktail can be used as alternative to antibiotics. Methods: We used a commercially available phage cocktail from an online pharmacy and tested it against a strain of Escherichia coli and a strain of Proteus mirabilis. We used isothermal microcalorimetry to follow the metabolic activity of the bacterial culture treated with the phage cocktail. Results: Isothermal microcalorimetry was able to follow the dynamic of the bacterial metabolic activity reduction by the phage cocktail. Both pathogens were strongly inhibited; however, some regrowth was observed for E. coli in urine. Conclusions: Isothermal microcalorimetry proved to be a valuable technique when investigating the efficacy of phage cocktails against uropathogens. We foresee that isothermal microcalorimetry could be used to obtain rapid phagograms.
ProteasesIgA to Cleavage by Diverse Bacterial IgA1 Composition on the Susceptibility of Human The Influences of Hinge Length and

The inﬂuences of IgA hinge length and composition on its susceptibility to cleavage by bacterial IgA1 proteases were examined using a panel of IgA hinge mutants. The IgA1 proteases of Streptococcus pneumoniae , Streptococcus sanguis strains SK4 and SK49, Neisseria meningitidis , Neisseria gonorrhoeae , and Haemophilus inﬂuenzae cleaved IgA2-IgA1 half hinge, an Ab featuring half of the IgA1 hinge incorporated into the equivalent site in IgA1 protease-resistant IgA2, whereas those of Streptococcus mitis , Streptococcus oralis , and S. sanguis strain SK1 did not. Hinge length reduction by removal of two of the four C-terminal proline residues rendered IgA2-IgA1 half hinge resistant to all streptococcal IgA1 metalloproteinases but it remained sensitive to cleavage by the serine-type IgA1 proteases of Neisseria and Haemophilus spp. The four C-terminal proline residues could be substituted by alanine residues or transferred to the N-terminal extremity of the hinge without affect on the susceptibility of the Ab to cleavage by serine-type IgA1 proteases. However, their removal rendered the Ab resistant to cleavage by all the IgA1 proteases. We conclude that the serine-type IgA1 proteases of Neisseria and Haemophilus require the Fab and Fc regions to be separated by at least ten (or in the case of N. gonorrhoeae type I protease, nine) amino acids between Val 222 and Cys 241 (IgA1 numbering) for efﬁcient access and cleavage. By contrast, the streptococcal IgA1 metalloproteinases require 12 or more appropriate amino acids between the Fab and Fc to maintain a minimum critical distance between the scissile 20 and then immersed in a 1/1000 dilution of HRP-labeled goat Ab to human IgA ( (cid:1) -Fab-speciﬁc; Kirkegaard & Perry Laboratories) in PBS containing 0.1% Tween 20 and agitated for 2 h atroom temperature. After thorough washing in several changes of PBS, the membranes were developed in 10 ml of 50 mM Tris- HCl pH 7.6 buffer containing 0.3 mg/ml nickel chloride, 10 mg of diami-nobenzidine, and 60 (cid:3) l of 30% hydrogen peroxide.
Low phase noise oscillator based on complementary split-ring resonators loaded quarter-mode circular SIW cavity

A high Q -factor substrate integrated waveguide (SIW) cavity resonator and its application of X-band low phase noise oscillator is proposed. Complementary split-ring resonators are used to improve the Q -factor of the proposed resonator. The size of the resonator is reduced by using quarter-mode circular SIW cavity. The oscillator based on the proposed SIW cavity resonator can be easily designed and tested. Measured results demonstrate an output frequency of 10.11 GHz and a phase noise of -108.7 dBc/Hz at 100 kHz offset. The oscillator is also able to deliver an output power of 4.6 dBm and harmonic rejection of better than 30 dBc. The proposed oscillator is suitable for low-cost high-frequency systems.
CYBERBULLYING DETECTION USING MACHINE LEARNING

: Cyberbullying has recently been reported to cause significant damage to society and the economy. Technological advances regarding the annotation of web documents and the diversity of online communities make the detection and tracking of such cases quite difficult and very difficult. Cyberbullying occurs through various information and communication technologies such as instant messaging, email, text messaging, social networking sites, blogs, and websites. We must fight this kind of abuse. The purpose of this project is to analyze and evaluate the communication between two specific individuals or an anonymous person. Recommended machine learning model to detect and prevent harassment in one-on-one conversation. Two classifiers, SVM and Naïve Bayes, are used to train and test social media bullying. Naive Bayes and SVM (Support Vector Machine) were able to detect true positives with 70% and 50% accuracy, respectively. SVM outperforms Naive Bayes by a similar dataset. We use the Twitter chat dataset to train the ml model.
Identified improvements of wireless sensor networks in smart grid: issues, requirements and challenges

Communications infrastructure is a basic part for the success of smart grid. Optimisation of energy consumption in the future intelligent energy networks (smart grids) will be based on the integrated near real-time between the different elements of grid network communications. Through a communication infrastructure, a smart grid can improve the reliability of power, eliminate power outages, and optimise energy consumption. The network gets smarter by improving detection, so the most important element that makes the smart grid is wireless sensor networks. Among them, one of the most important applications is a sensor data collection. This paper discusses some of communications research challenges and opportunities in the areas of smart grid and smart meters. In particular, we focus on some of the main communications challenges to achieve interoperability and future proof, smart grid/metering networks. We describe the basic taxonomy and propose to break the network data collection of wireless sensors.
OAuth 2.0 Proof-of-Possession (PoP) Security Architecture

The OAuth 2.0 bearer token specification, as defined in RFC 6750, allows any party in possession of a bearer token (a "bearer") to get access to the associated resources (without demonstrating possession of a cryptographic key). To prevent misuse, bearer tokens must be protected from disclosure in transit and at rest. Some scenarios demand additional security protection whereby a client needs to demonstrate possession of cryptographic keying material when accessing a protected resource. This document motivates the development of the OAuth 2.0 proof-of-possession security mechanism.
Architecture of low duty-cycle mechanisms

We describe the principles of low duty WSN architectures and we summarize the main WSN asynchronous MAC low duty-cycle schemes found in the literature. They are mainly two schemes, the first technique is sender-oriented and the second technique is receiver oriented. We explain how MAC low duty-cycle schemes and opportunistic routing algorithms can be combined in cross-layer approach. We propose two low duty WSN architectures: one is based on B-MAC (Sender-oriented), the second on RI-MAC (Receiver-oriented). We depict several variants for each cross-layer scheme. Depending on the transmission range, we evaluate the average i) packet delivery probability, ii) delay at each hop, iii) number of hops to reach the sink and iv) end-to-end delivery delay. We compare the simulation results, for each scheme, with those obtained by a simple analytical model using a Poisson point process. We study the energy consumed when no event is detected and the additional energy to convey a packet to the sink. We show that the gain in energy obtained with a low duty-cycle is very significant.