Miracle-dz/UniFAR-FTUs huggingface dataset:
The research for effect of aspects extraction of Chinese commodity comments on supervised learning methods

With the advent of Web 2.0, there are more and more websites for shopping. These websites often allow customers make comments of the commodity which they have purchased. Therefore, three is an increasing number of online reviews. More importantly, these reviews contain a mass of sentiment. The sentiment is meaningful for merchants and customers. This paper focuses on the extraction of aspects of online review of products. We will use Supervised Learning methods to extract aspects of online review of products. Through the experiment of this paper, we found that Machine Learning can be used for aspects extraction of Chinese online review of products. Using ME and presence character representation can achieve 85.6% accuracy.
Using surrogate organisms in hydraulic research: guidance on their design and implementation

When investigating or quantifying the interaction of organisms with the hydrodynamic environment, it is often necessary or desired to use surrogates instead of the prototype organisms. In order not to derogate the results, it is important to design surrogates to represent the essential properties of the prototype organism correctly. To do so, several aspects of organism behaviour and morphology have to be considered, which are rarely mentioned in studies that present work carried out with surrogates. This paper presents a guideline to the choice and design of surrogates and aims to offer support during the design phase of flume studies, particularly to researchers that (i) are not (yet) familiar with living organisms and their behaviour or (ii) have little experience with the strengths and limitations of hydraulic facilities in order to enhance the quality of collected data and provide meaningful results.
Significant bacteriuria among requested repeat urine samples and its clinical correlation

Background and Objectives: Urinary tract infections (UTI) are the most common bacterial infections in both outpatient and inpatient department received for routine bacterial culture and sensitivity. We looked for significant bacteriuria in requested repeat urine sample after primary urine culture yielded significant growth (>105 CFU/ml) of ≥3 types of colonies. Also studied, different isolates grown with their sensitivity pattern and contamination rates of urine samples from different departments. Materials and Methods: In routine, primary urine cultures yielding ≥3 types of colonies on Cystine Lactose Electrolyte Deficient (C.L.E.D) were requested for repeat samples, collected with aseptic precautions after proper instructions. Data was analyzed for the Microbiological profile and its clinical correlation. Results: Among 617 received requested urine samples, 292 (47.3%) yielded significant bacteriuria. Clinical details were available for 252 cases out of which 100 (39.7%) showed asymptomatic bacteriuria, 87 (34.5%) complicated UTI and 65 (25.7%) uncomplicated UTI. Null hypothesis was rejected as 292 (47.3%) of the received repeat samples showed significant bacteriuria and 325 (53%) showed normal flora/no growth i.e. there is a 50% chance of getting either a positive culture or normal flora/no growth in repeat urine samples after the primary urine culture showed ≥3 types of colonies. It indicates the importance of requesting repeat urine samples for an accurate urine culture report. Male patients were significantly associated with significant bacteriuria and complicated UTI (p= 0.001). Escherichia coli (n=112, 28%) was the most common followed by Klebsiella species (n=66, 16.4%) and Enterococcus species (n=69, 17.2%). 183 (45.6%) isolates were Multi-Drug Resistant (MDR) Gram Negative Bacilli (GNBs), Escherichia coli (50.3%) being most common. Vancomycin Resistant Enterococcus (VRE) (n=8, 2.0%) was also isolated. Conclusion: Our study justifies the rationale for asking a repeat urine samples which helps in providing an appropriate microbiological report with antibiotic sensitivity pattern, hence preventing unwanted reporting of commensals/contaminants facilitating evidence based therapy.
Cellulose Nanocrystal Based Bio‐Memristor as a Green Artificial Synaptic Device for Neuromorphic Computing Applications

Nanocomposites based on biomaterials are promising candidates for emerging green‐ electronics benefiting from environment‐friendly, renewable, biocompatible, and biodegradable resources for sustainable research and development. Especially, the application of biocomposites‐based memristor for simulating artificial synapses called bio‐memristor has further facilitated the progress of ecologically benign bioelectronics. In this study, the authors present that the environment‐friendly nanocomposites films, consisting of Ag nanoparticles and cellulose nanocrystal (CNC)‐based bio‐memristor with excellent bipolar resistive switching behavior can perform the artificial bio‐synaptic emulation with continuous resistance modulation for memory storage and neuromorphic computing applications. The bio‐memristor exhibits a large resistive switching (ION/OFF as high as ≈104 and ultralow SET/RESET voltage of ≈0.2 V) and reliable switching characteristics through the electrochemical formation/rupture of Ag metallic filaments within the nanocomposite layer. The device presents coexistence of digital and analog switching properties favorable for both nonvolatile digital memory and neuromorphic computing applications. By applying appropriate pulse stimulations to the device, the authors demonstrate biological synaptic functions, including long‐term potentiation/depression, spike‐rate‐dependent plasticity, excitatory post‐synaptic current, paired‐pulse facilitation, and paired‐pulse depression. Thus, this CNC‐based bio‐memristor as an effective artificial synaptic device is beneficial towards the realization of green‐electronics and bio‐inspired neuromorphic systems.
Evaluating the Effectiveness of Collaboration in Water Resources Planning in California: A Case Study of CALFED

This thesis examines the collaborative processes used by the CALFED Operations Group (Ops Group) and the outcomes achieved by these processes. The CALFED Bay Delta Program is a complex partnership of over 20 state and federal agencies that seeks to balance competing needs and interests in the Sacramento-San Joaquin Delta. The Ops Group coordinates the operations of the two large water export projects in the south Delta -— the Central Valley Project (CVP) and State Water Project (SWP) -— with environmental and water quality regulations. Participants in the Ops Group were brought together by a conflict between environmental protection and water supply reliability. Fish populations were declining, while actions taken under the Endangered Species Act threatened the stability of the water supply. Through collaboration, dialogue, and detailed modeling of the system, the Operations Group was able to overcome decades of mistrust, legal barriers, financial risks, and scientific uncertainty to develop new tools for managing the complex Delta water system. The Ops Group moved from a system of isolated bureaucratic decision making and prescriptive standards for protecting endangered fish in the Delta to a system based on cooperative real-time management, where minor modifications to the CVP and SWP were made on a daily basis based on real-time monitoring data. The program at the center of this breakthrough was the Environmental Water Account. The Environmental Water Account is a program that was designed to let the Operations Group maintain reliability in the SWP and CVP water supply while reducing the amount of water pumped out of the Delta when the pumps pose a danger to fish. It is too soon to tell whether the Ops Group and the Environmental Water Account have improved either fish populations or long-term water supply reliability. However, this paper describes several notable achievements that Ops Group members would not have been able to accomplish without collaboration. Agency staff and stakeholders with a history of adversity were able to create positive working relationships and shared understandings of the Delta water system. The social capital and new institutional structures built by these processes have enabled the Ops Group to creatively deal with challenges that would have previously resulted in an impasse.
A Robust Data Exchange Framework for Connected Vehicle Technology Supported Dynamic Transit Operations

Transit systems are an integral part of surface transportation systems. A connected vehicle technology (CVT) supported transit system will assist the users to manage trips both dynamically and efficiently. The primary focus of this research is to develop and evaluate the performance of a secure, scalable, and resilient data exchange framework. In the developed data exchange framework, a new data analytics layer, named Transit Cloud, is used to receive data from different sources, and send it to different users for a Dynamic Transit Operations (DTO) application. The DTO application allows the transit users to request trip information and obtain itineraries, using their personal information devices, (e.g., cell phone), and provides dynamic routing and scheduling information to the transit operators. A case study was conducted to investigate the effectiveness of the developed data exchange framework by comparing the framework with the USDOT recommended data delivery delay requirements. This data exchange framework was simulated in the CloudLab, a distributed cloud infrastructure, in which, the data exchange delay for DTO was examined for different simulation scenarios, utilizing the synthetic data generated from Connected Vehicle Reference Implementation Architecture (CVRIA) and Research Data Exchange (RDE). Security, scalability, and resiliency of the developed data exchange framework are illustrated in this thesis. The results from the simulation network reveal that the data exchange delay satisfies the USDOT data delivery delay requirements. This suggests that the developed secure, scalable, and resilient data exchange framework, which is presented in this study, meets the application performance iii requirements. Thus, Transit Cloud is a more preferable alternative than the existing framework because of its added benefits in terms of security, scalability, and resiliency. iv DEDICATION I would like to dedicate this thesis to my parents in recognition of their constant and deepest love, inspiration, and support. v ACKNOWLEDGMENTS I would like to express my sincere appreciation and gratitude to my advisor Dr. Mashrur Chowdhury for his continuous and patient guidance in my Master's research. In every aspect of this research, Dr. Chowdhury provided a lot of valuable advises and assistance. It is my luck to meet such a nice advisor in my master's study. I am also grateful to Dr. Yongxi Huang and Dr. Eric Morris for serving as my thesis committee member. Thank them for squeezing time from their busy schedule to review my thesis and provide insightful comments and suggestions. I would like to specially thank my friend Mizanur …
An Intelligent Garbage Can Decision-Making Model Evolution Algorithm on Optimal Design of Fuzzy Controller of Intelligent Lighting Systems

In this paper, an intelligent garbage can model-based differential evolution algorithm (IGCMDE) is proposed to simulate human social organization by its population system, based on the differential evolution algorithms (DEs) and the logical framework of the garbage can decision model with group meeting. When faced with issues such as unclear goals and technologies, participators turnover, etc., representatives of all participating parties will communicate, argue, compromise and adapt with each other, in order to find a solution to the problems. Group meetings are conducted to choose the best solution in a more objective, reasonable and efficient way. At last, we used IGCMDE to optimize the fuzzy controller with fuzzy logic control theory. We present a method for daylight blending control with two novel contributions: 1) smart luminance sensing; 2) daylight luminance control. The proposed method was implemented as an intelligent lighting system in a parking tower environment. The result demonstrated that IGCMDE possesses an excellent search performance and the intelligent lighting system showed significant energy savings.
Challenges Faced by Novice English Language Instructors in the application of their Teaching Strategies: A Case Study of University A

This qualitative research study used the semi-structured interviews and classroom observations in exploring the challenges faced by novice English language instructors in University A. These qualitative methods have provided the author the means of capturing the participants’ experiences and actual teaching performance. Participants were chosen from among five newly employed English instructors. The findings revealed that majority of the participants used constructivist, communicative language teaching, and performance-based strategies in their classes. This can be explained by their educational background, as the majority of them have a master's degree. This is also attributed to their previous teaching experience and the pedagogical seminars and training they have attended. Four primary challenges surfaced as having an effect on the participants’ efficiency to teach. These factors include leaners’ individual differences, availability of instructional materials, class size, and various school activities, which disrupt classes. More specifically, the participants disclosed that the learners’ attitudes toward the subject and their studies interests and capacity to learn greatly affect their instructional strategy. They also revealed that having big class size (40 or more students) is not desirable for language courses. Keywords— Challenges, Novice Teachers, Teaching Strategies.
Face Identification System Based on Synthesizing Realistic Image using Edge-Aided GANs

Presently, facial image recognition via a thermal camera is a critical phase in numerous fields. Systems using thermal facial images suffer from numerous problems in face identification. In this paper, a model Edge-Aided Generative Adversarial Network (EA-GAN) is introduced to overcome the difficulties of thermal face identification by synthesizing a visible faces image from the thermal version. To enhance the performance of the Conditional Generative Adversarial Network (CGAN) model for the create realistic face images, the edge information extracted from the thermal image has been used as input, thus lead to improving overall the system's achievement. Moreover, a new model is presented in the present work for face identification by integrating two Convolutional Neural Networks (CNN) to achieve high and rapid accuracy rates. Based on the experiments on the Carl dataset for faces, it is indicated that EA-GAN can synthesize visually comfortable and identity-preserving faces; thus, better performance is achieved in comparison with the state-of-the-art approaches for thermal facial identification.
A Local Cross-Site Scripting Attack against Android Phones

In the rst quarter of 2011, Android has become the top-selling operating system for smartphones. Its increase in market share has made Google’s mobile operating system an attractive target for attackers. In this paper, we present a novel cross-site scripting attack that allows unprompted installation of arbitrary applications from the Android Market. Our attack is based on a single malicious application, which, in contrast to previously known attacks, does not require the user to grant it any permissions.
Discovering Nano-Nutraceutical concepts, existing knowledge and future perceptions

Nanotechnology is a vital progressive technology facilitating role, progress, and viable effect on food, treatment, medicine, cultivation and farming sector. A nutraceutical is characterized as an ingredient that is related to food and gives medical compensations to the human being, including the prevention and healing of illness. The well-being and health of people are to a great extent, directed by the utilization of nutritious diets. Further numerous investigations have connected good diets as supportive in fighting various deteriorating communicable and non-communicable diseases. There are various studies that explore the relationship between health promotion and various plant and animal food. Although, a considerable number of naturally arising health-promotion constituents are the source of plants, there are various physiologically dynamic parts in animal items that have worth considering for their possible function in ideal well-being. Moreover, the utilization of naturally active constituents in leafy foods and fruits has been connected to fighting various illnesses, such as malignant growth, cardiovascular illnesses, weight, and gastrointestinal problems.
Polarization-Dependent Mode Analyzer and Controlled-Z Gate in Ti:LiNbO3 Quantum Photonic Circuits

Abstract On-chip integrated photonic circuits are crucial for further progress toward quantum technologies and in the science of quantum optics. The quantum controlled-Z gate is an example of the maximally entangling gate, which is universal for quantum computing when coupled with single-qubit gates. This article demonstrates a deterministic controlled-Z photonic quantum gate based on titanium in-diffused channel waveguides in which polarization and modal degrees of freedom of a single photon are used for encoding the control and target qubits, respectively.
Strong Light–Matter Interaction and Spontaneous Emission Reshaping via Pseudo‐Cavity Modes

Strong light–matter interaction is usually achieved by embedding a gain medium in a high‐quality (Q)‐factor cavity made with thick external mirrors. The high reflectivity of the mirrors poses, therefore, a trade‐off between pump radiation coupling efficiency and high Q‐factor, thus preventing the use of optical cavities in photonic contexts where the photosensitive element necessitates to be readily accessible. Here, this long‐standing problem is overcome by engineering “Pseudo‐Cavity Modes” (PCM) in a Metal/Dielectric Open Cavity (MDOC) system that has been commonly thought to be incapable to show resonances. The MDOC system lets the embedded fluorophore exposed to radiation, opening to strong light/matter interaction. To prove this: i) exciton/PCM strong coupling regime, with 160 meV Rabi splitting, ii) photoluminescence enhancement by more than 7 times, and iii) polarized and angle‐dependent spontaneous emission are experimentally and theoretically demonstrated. The proposed system holds great potential envisioning scenarios like cavity‐enhanced photovoltaics, surface‐enhanced Raman scattering, open‐cavity lasers, photoluminescence steering and polarization.
CW and Modulated Input Second Harmonic Injection for Efficiency Enhancement in Broadband Power Amplifiers

The second-harmonic input impedance plays a critical role on the performance of GaN power amplifiers. In a recent paper, a drain efficiency enhancement for a continuous-mode power amplifiers was reported to be achieved using active broadband second-harmonic injection at the PA input. In this paper, the strategy for selecting the second-harmonic input impedance and the necessity for using active injection in such broadband PAs are discussed in detail. Additionally, the methodology for designing an embedded broadband diplexer in the input matching network is reported. Finally, the importance of the phase of the second-harmonic signal injected is demonstrated for both CW and modulated signals using both simulation and measurement, respectively. The effectiveness of the CW and modulated active second-harmonic injection methodology presented here are validated by previously reported measurements that demonstrated an average drain efficiency improvement of 9.4% from 1.3 to 2.4 GHz for CW signals and of 9.7% at 2 GHz for a frequency-modulated 30 MHz chirp radar signal.
Evaluation of accessible regions of Escherichia coli fimH mRNA through computational prediction and experimental investigation

Background and Objectives: This study aimed to investigate the accessible regions of the fimH mRNA using computational prediction and dot-blot hybridization to increase the effectiveness of antisense anti-virulence therapeutics against Uropathogenic Escherichia coli. Materials and Methods: We predicted the secondary structure of the E. coli fimH mRNA using the Sfold and Mfold Web servers and RNA structure 5.5 program. Considering the predicted secondary structure, accessible regions in mRNA of fimH were determined and oligonucleotides complementary to these regions were synthesized and hybridization activity of those oligonucleotides to the fimH Digoxigenin (DIG) labeled mRNA was assessed with dot-blot hybridization. Results: When searching the fimH gene in the GenBank database, two lengths for this gene was discovered in different strains of E. coli. The difference was related to the nine bases in the first part of the gene utilizing either of two translation initiation sites. Based on the bioinformatics analyses, five regions lacking obvious stable secondary structures were selected in mRNA of fimH. The result of dot-blot hybridization exhibited strongest hybridization signal between the antisense oligonucleotide number one and fimH labeled mRNA, whereas hybridization signals were not seen for the negative control. Conclusion: The results obtained here demonstrate that the region contains start codon of fimH mRNA could act as the potential mRNA target site for anti-fimH antisense therapeutics. It is recommended in the future both of utilizing translation initiation sites be targeted with antisense oligomers compounds.
Study of Body Measurements and Slaughter Characteristics in Japanese quail as Influenced by Age

The study wasconducted at Avian Research and Training Centre, UVAS Lahore, Pakistan in orderto quantify changes in body measurements and slaughter characteristics as aresponse to aging (3rd, 4th and 5th week)respectively. For this purpose seventy two birds were slaughtered each week.The analysis of data through one way ANOVA in Completely Randomized Design(CRD) and the comparison of means using Least Significant Difference (LSD) test,with the help of SAS 9.1 showedsignificant increase in body,keel, drum stick, shank and length of intestine as well as drumstick and shankcircumference with the advancement in age. Heart and intestinal weightpercentage to that of the live weight also increased with the age showing thehighest values for 5th week and the lowest for 3rd weekwhile liver, gizzard and gibletsweight percentage decreased significantly.
Astonishing insights: emerging market debt spreads throughout the pandemic

ABSTRACT We investigate how Covid-19 affects the emerging market (EM) bonds by analysing, on a standalone basis, investment grade (IG) and high yield (HY) debt per type of issuer. We document evidence that the option-adjusted spreads (OAS) of the IG and HY financials have recovered to the pre-Covid levels by the end of year 2020, while for the HY sovereigns and corporates the OAS remain twice as wide as before the pandemic. The weight of the liquidity component in the OAS for the IG sovereigns has climbed to astonishing 45%. Our results are potentially useful for investors, traders, risk managers and regulators.
Static and dynamic characteristics of double transverse coupled cavity VCSELs for high speed modulations

We present experimental results for extending the 3-dB modulation bandwidth of an 850-nm vertical-cavity surface-emitting laser (VC-SEL) with passive double transverse-coupled cavities (DTCC). The 3-dB modulation bandwidth of DTCC-VCSEL is 21GHz while that of a conventional VCSEL (C-VCSEL) fabricated in the same wafer is 12GHz. We realize eye-opening at large-signal modulations of 36 Gbps (NRZ) and 44Gbps (PAM4). Intensity ﬂuctuations of single-transverse-coupled cavity(STCC)-VCSELandDTCC-VCSELwerealsoexaminedatdiﬀerentbias currentsunderCWoperations.TheresultshowsaDTCC-VCSELismorestablewithlowerintensityﬂuctuations.