Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating Online Products Using Text Mining: A Reliable Evidence-Based Approach

To address the uncertainty about the quality of online merchandise, e-commerce sites often provide product review ranking services to help customers make purchasing decisions. Such services can be very useful, but they are not necessarily reliable when the ranking results are based on ratings without considering their reliability. In this paper, we propose a reliable evidence-based approach to online product evaluation by using text mining to analyze product reviews while taking into account the reliability of each review. We parse the product reviews and classify the opinion orientations for each recognized product feature as positive or negative. Then, we weight the classified opinion orientations by their reliability and use them as independent evidence to calculate the belief values of the product using Dempster-Shafer (D-S) theory. Based on the belief values of a list of similar products, we can calculate their product effectiveness and cost-effectiveness values for product ranking. The case studies show that our approach can greatly help customers make better decisions when choosing the right online products.
Adapting Language Models When Training on Privacy-Transformed Data

In recent years, voice-controlled personal assistants have revolutionized the interaction with smart devices and mobile applications. The collected data are then used by system providers to train language models (LMs). Each spoken message reveals personal information, hence removing private information from the input sentences is necessary. Our data sanitization process relies on recognizing and replacing named entities by other words from the same class. However, this may harm LM training because privacy-transformed data is unlikely to match the test distribution. This paper aims to fill the gap by focusing on the adaptation of LMs initially trained on privacy-transformed sentences using a small amount of original untransformed data. To do so, we combine class-based LMs, which provide an effective approach to overcome data sparsity in the context of n-gram LMs, and neural LMs, which handle longer contexts and can yield better predictions. Our experiments show that training an LM on privacy-transformed data result in a relative 11% word error rate (WER) increase compared to training on the original untransformed data, and adapting that model on a limited amount of original untransformed data leads to a relative 8% WER improvement over the model trained solely on privacy-transformed data.
LeviPrint: Contactless Fabrication using Full Acoustic Trapping of Elongated Parts.

LeviPrint is a system for assembling objects in a contactless manner using acoustic levitation. We explore a set of optimum acoustic fields that enables full trapping in position and orientation of elongated objects such as sticks. We then evaluate the capabilities of different ultrasonic levitators to dynamically manipulate these elongated objects. The combination of novel optimization algorithms and levitators enable the manipulation of sticks, beads and droplets to fabricate complex objects. A system prototype composed of a robot arm and a levitator is tested for different fabrication processes. We highlight the reduction of cross-contamination and the capability of building on top of objects from different angles as well as inside closed spaces. We hope that this technique inspires novel fabrication techniques and that reaches fields such as microfabrication of electromechanical components or even in-vivo additive manufacturing.
Developmental Disability, Sexuality, and Counseling: A Call for Action and Ecological Implications

Despite significant efforts in changing the particular views that society holds about people with developmental disabilities, there had been only a few research attempts to understand the counselors’ views and willingness to discuss and address sexuality issues in the work with these clients (Stinson, 2004). This article used Bronfenbrenner’s ecological model (1979) to explore the intersection between sexuality and disability, and proposed action steps for advocacy and social change recommendations for counselors and counselor educators.
ประสิทธิผลของการเจริญสติต่อการลดอาการปวดเรื้อรังในผู้สูงอายุ: การทบทวนวรรณกรรมอย่างเป็นระบบ The Effectiveness of Mindfulness Meditation in Relieving Chronic Pain in Older Adults: A Systematic Review

Chronic pain is a common problem that affects older populations. It is a common condition that does not completely respond to medical treatment. Consequently, in recent years many alternative treatments have been suggested. Among them, mindfulness meditation is receiving growing attention. The purpose of this paper is to review studies that has determined whether mindfulness mediation can relieve chronic pain in older adults. The PRISMA model guided a systematic literature search method. A literature search was undertaken using MEDLINE, CINAHL, Ovid, and ProQuest. The search terms were “mindfulness meditation,” “mindfulness-based intervention,” “meditation,” “chronic pain,” “arthritis,” “older,” and “aged or elderly. ” The search included articles written in English published during the period of 2003 thru 2018. This systematic literature review search yielded 35 articles through an electronic database search effort. Nineteen articles were evaluated for relevancy after removing duplicates. Three studies were then selected for the present review. Two articles were randomized control trials, and only one article was a pretest-posttest experimental study. All reviewed studies showed that mindfulness meditation interventions led to improvement in pain acceptance, physical functioning, quality of life and well-being in patients with chronic pain. There is not yet sufficient evidence to show that mindfulness meditation techniques are more effective than other non-specific interventions. More research is needed to investigate mindfulness meditation interventions in longer follow ups.
ParlaMint II: The Show Must Go On

In ParlaMint I, a CLARIN-ERIC supported project in pandemic times, a set of comparable and uniformly annotated multilingual corpora for 17 national parliaments were developed and released in 2021. For 2022 and 2023, the project has been extended to ParlaMint II, again with the CLARIN ERIC financial support, in order to enhance the existing corpora with new data and metadata; upgrade the XML schema; add corpora for 10 new parliaments; provide more application scenarios and carry out additional experiments. The paper reports on these planned steps, including some that have already been taken, and outlines future plans.
QUALITY-OF-SERVICE WITH LOAD BALANCING IN CLOUD COMPUTING

: Because of the added complexity of dealing with quality of service (QoS) needs in a highly virtualized dynamic environment, the cloud computing paradigm brings new problems to performance management of both applications and infrastructure. This is especially true.This is true for either SaaS apps in public clouds that are being launched into production with strict security requirements, or for SaaS applications in private clouds that are being deployed into production with strict security SLAs or important internal applications developed on private cloud PaaS/IaaS infrastructures.As a result, performance testing activities are critical for lowering the risks associated with software development. Managing significant changes in user and transaction workloads or deploying to production. Enterprise apps have been migrating to the cloud in large numbers in recent years. Managing QoS, the difficulty of assigning resources to the application in order to provide a service level in terms of performance, availability, and dependability, is one of the difficulties faced by cloud applications. QoS modelling approaches applicable for cloud systems are summarised in this paper, which aims to help researchers in this area. We also discuss and characterise their early use in different cloud QoS management decision-making concerns.
Simulation of the Summer Monsoon Rainfall over East Asia Using the NCEP GFS Cumulus Parameterization at Different Horizontal Resolutions

The most recent version of the simpliﬁed Arakawa–Schubert (SAS) cumulus scheme in the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) (GFS SAS) is implemented in the Weather Research and Forecasting (WRF) Model with a modiﬁcation of the triggering condition and the convective mass ﬂux in order to make it dependent on the model’s horizontal grid spacing. The East Asian summer monsoon season of 2006 is selected in order to evaluate the performance of the modiﬁed GFS SAS scheme. In comparison to the original GFS SAS scheme, the modiﬁed GFS SAS scheme shows overall better agreement with the observations in terms of the simulated monsoon rainfall. The simulated precipitation from the original GFS SAS scheme is insensitive to the model’s horizontal grid spacing, which is counterintuitive becausetheportionoftheresolvedcloudsinagridboxshouldincreaseasthemodelgridspacingdecreases.This behavior of the original GFS SAS scheme is alleviated by the modiﬁed GFS SAS scheme. In addition, three different cumulus schemes (Grell and Freitas, Kain and Fritsch, and Betts–Miller–Janji (cid:1) c) are chosen to in-vestigate the roleofa horizontalresolutiononthe simulatedmonsoonrainfall.Althoughthe forecastskill ofthe surface rainfall does not always improve as the spatial resolution increases, the improvement of the probability density function of the rain rate with the smaller grid spacing is robust regardless of the cumulus parameteri- zation scheme.
Project of a Pilot-Microgrid connected to the Main Grid

The interest on renewable sources of energy and sustainable energy management has driven a lot of countries to develop projects and researches about this subject. The microgrid is one of the approaches within the concept of Smart Grids that has been studied through recent years. This paper describes the recent state of the researches about microgrids in Federal University of Espı́rito Santo, and presents the pilot project of a microgrid developed in this university. The microgrid is connected to the electrical main grid with wind and solar photovoltaic resources and with a control system for studies on energy management, electrical systems protection, multi-objective optimization and virtual synchronous generation
Concrete Problems for Safety in Autonomous Vehicles through Bayesian Deep Learning

Autonomous vehicle (AV) software is typically composed of a pipeline of individual components, linking sensor inputs to motor outputs. But erroneous component outputs propagate downstream, hence safe AV software must consider the ultimate effect of each component’s errors. Improving safety alone is not sufﬁcient though. Passen-gers must also feel safe to trust and use safer AV systems. To address such concerns, we investigate three under-explored themes for AV research: safety, interpretability, and compliance. Safety can be improved by quantifying the uncertainties of component outputs and propagating them forward through the pipeline; Interpretability is concerned with explaining what the AV observes and why it makes the decisions it does, building reassurance with the passenger; Lastly, compliance refers to maintaining some control for the passenger. We discuss open challenges for research within these themes. We highlight the need for concrete evaluation metrics, propose example problems, and high-light possible solutions.
EXISTENCE AND UNIQUENESS OF INVARIANT MEASURES FOR STOCHASTIC EVOLUTION EQUATIONS WITH WEAKLY DISSIPATIVE DRIFTS

In this paper, a new decay estimate for a class of stochastic evolution equations with weakly dissipative drifts is established, which directly implies the uniqueness of invariant measures for the corresponding transition semigroups. Moreover, the existence of invariant measures and the convergence rate of corresponding transition semigroup to the invariant measure are also investigated. As applications, the main results are applied to singular stochastic p -Laplace equations and stochastic fast diffusion equations, which solves an open problem raised by Barbu and Da Prato in [ Stoc. Proc. Appl. 120(2010), 1247-1266 ] .
Plant Disease Identification and Prevention using Image Processing and Internet of Things

:- For over a decade, agriculture has been the key source of income inIndia. In a country like India, which is developing now, agriculture provides a huge number of employment opportunities. According to a study, a huge population of the country, around 60-70% of the country depends on agriculture. Most of the work related to farming in India is being done manually because most of the farmers lack the technical knowledge required to do it in a modern way. Pesticides are being sprayed presently on the plants by the farmers but it will have bad effects on the people who consume them. Farmers have no proper idea of what type of crop can be grown on the type of soil they are working on. When different types of diseases affect the plants, where the main part of the plant that gets affected is the leaf, they will suffer a huge loss economically. There will also be a significant decrease in the production of the plants. A leaf is one of the most important parts of the plants. The most challenging job for both the farmers and researchers is the identification of the disease that has affected the leaf. For identifying the plant diseases, farmers need to adapt to too many modern techniques. Through this paper, we will overview various plants and their illnesses and the different propelled procedures that can be utilized to identify these diseases.
Miniaturized planar filters exhibiting flexible placement of three transmission zeros suitable for duplexer design

In this work, we show that a stub‐loaded open‐loop double resonator filter can produce three transmission zeros at finite frequencies close to the passband when designed using our proposed asymmetric feed point topology. We demonstrate that by selecting the length of the stub, the placement of double transmission zeros on either the high side of the passband or the low side of the passband can be selected. This selection can be achieved by using a single design parameter: the stub length. The flexibility in the double zero placement makes these filters particularly advantageous for duplexer designs. Two duplexers are fabricated using the proposed filter topology in a microstrip on a duroid substrate and substrate‐embedded stripline via Low‐Temperature Cofired Ceramic technology (LTCC). The measurements show steep attenuation of approximately 30 dB, close to the filters' passband as well as a compact size down to 0. 075λ × 0. 17λ.
Water diffusion in RTM textile composites for aircraft applications

2017) Abstract. This paper presents a first step towards the understanding of water diffusion in RTM textile composite materials for aircraft applications and focuses on the development of experimental and numerical approaches to characterize the diffusion kinetics within the material. The method consists in making samples which are representative of the materials architecture and carrying out gravimetric tests on such samples. Analysis of results with the aid of a diffusion model reconstructing the architecture of the samples helps identifying the diffusion behaviour of the
A Study on Financial Stress and Coping Strategies among Students in Rift Valley University, Ethiopia

: The purpose of this study was to assess financial stress among students and the coping strategies employed to manage the negative consequences of being stressed due to their own financial situation. For the purpose of this study, 56 first year students of accounting department of Rift Valley University 6 kilo branch were included using probability-sampling strategy. Once data through questionnaire which included both open ended and closed ended questions was gathered, it was analyzed via mixed approaches of both quantitative and qualitative approaches. Statistical Package for Social Science version 21 (SPSS V-21) was used to analyze the collected data. About 55.88% of the respondents scored a mean which was beyond the expected mean score (20) on financial stress. About half of the participants applied praying to God/ Allah as a major coping strategy to cope financial stress. This research result indicated that some of the respondents believed that financial stress can negatively affect academic performance. Participants also identified both effective and less effective coping strategies which can be used by young adult students in order to manage the negative consequences of financial stress.
Combined effect of ocean acidification and warming on coral calcification

Combined effect of ocean acidification and warming on coral calcification Coral calcification responses to interactive effects of elevated temperature and pCO2 have been investigated sufficiently to produce quantitative estimates for some families. The collection of 13 publications resulted in 40 separate samples (i.e. effect sizes). When all studies were pooled together, warming had no effect on calcification responses to OA. The growth reductions induced by OA matched the effect of combined stressors (-16.7% and -15.7%, respectively). The combined effect of elevated temperature and reduced pH on coral calcification appeared to be additive. The division into most studied taxa showed inconsistencies in the direction of the interaction across different families (Fig. 16). Acroporids responded with stronger reductions in growth following exposure to combined stressors compared to the effects of single stressors. All other main taxa experienced mitigating effects in combined treatments. In Merulinids and Porites spp. , OW offset negative effects of OA while in Pocilloporids the image was reversed (OA offset positive effects of OW).
An Adaptive Variable-Frequency Control With Constant Crossover Frequency Achieving Fast Transient Response for Wide-Operation-Range Flyback Converter

Flyback converters with universal serial bus power delivery (USB-PD) specification are widely used in low-power adapter application. The wide output voltage range operation of USB-PD makes the loop gain vary under different working conditions. To ensure stability in all working conditions, the loop gain has to be compensated based on the worst case of control-to-output transfer function. However, in other conditions, the crossover frequencies of loop gain are sacrificed, resulting in poor transient responses. This paper proposes an adaptive variable-frequency peak current mode control with constant crossover frequency to mitigate the tradeoff between stability and transient response while possessing the variable frequency characteristic to improve light load efficiency. The adaptive control law is derived from the proposed small-signal model. Experimental and simulation results verify the analysis. The proposed control reduces the output voltage variation at load transient by 43% and 34% at 5 and 20 V output voltage, respectively.
Validation of MACC models

N. Elguindi, C. Ordóñez, V. Thouret, J. Flemming, O. Stein, V. Huijnen, P. Moinat, A. Inness, V. -H. Peuch, A. Stohl, S. Turquety, J.-P. Cammas, and M. Schultz Université de Toulouse, UPS, LA (Laboratoire d’Aérologie), 14 avenue Edouard Belin, Toulouse, France CNRS, LA (Laboratoire d’Aérologie), UMR 5560, 31400 Toulouse, France Met Office, Atmospheric Dispersion Group, Exeter, UK European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK FZ Jülich, Institute for Chemistry and Dynamics of the Geosphere-Troposphere, Jülich, Germany
AN EXAMINATION BETWEEN TOTAL QUALITY MANAGEMENT AND HOTEL FINANCIAL PERFORMANCE: EVIDENCE FROM JORDANIAN INTERNATIONAL HOTELS

The objective of this study is to investigate the relationship between total quality management (TQM) elements and it`s multi-dimensions "Top Management Commitment, Supplier Quality Management, Quality Planning, Quality Data, and Reporting and Customer focus" on financial performance in five stars international Jordanian hotels. Therefore, 59 questionnaires were received from middle and top management deportments, the quality, operation and financial managers of five-star international hotels in Jordan; regression and correlation analysis was used to test the relationship study aim. For results of the study, have a positive and significant relationship between five dimensions of TQM "Top Management Commitment, Supplier Quality Management, Quality Planning, Quality Data, and Reporting and Customer focus" on financial performance as measured (Market share, Return on capital). Past research concerted on the manufacturing sector and not the hotel business in Jordan, so this study came to bridge the Literature Review gab and Meaningful implications are made that building a reputation and effective TQM implementations hotels are vital to face high competition, increase improve quality, and improve financial performance in five-star international hotels in the Jordan sector. What is the relationship between the dimensions of total quality management and financial performance in five-star Jordanian international hotels?
Composing Semantic Web Services Online and an Evaluation Framework

— This article presents an approach for semantic web service composition using Artificial Intelligence planning techniques. Our research prototype, M AD S WAN , is able to support various stages of web service composition, both manually and automatically. It comprises a semantic web service registry, an editor of semantic description files, as well as manual and automatic web service composition modules. The system adheres to the reusable nature of web services, by utilizing existing open source projects as sub-elements. Furthermore, it tackles the problem’s inherent non-determinism through the use of planning techniques, particularly contingency planning. Finally, we designed a set of evaluation benchmarks for web service composition systems, based on an existing collection of semantically annotated web services, and applied it in part to M AD S WAN with very encouraging results.
Face Recognition using Unsupervised Feature Learning (UFL) Approach

: In our paper, we propose a facerecognition system that uses joint feature learning that helps us learn feature representation directly from raw pixels. Unsupervised feature learning enables us to recognize faces even in unconstrained environment like varying poses and expressions. Firstly, we input an image or video into our system. Then we pre-process it by converting it into a gray-scale image. This is to reduce the complexity of the computation. Then we apply Face Detection algorithm (Viola Jones Algorithm) to detect the faces in the input image. After this process, we get the all the faces in the image along with the count of it. Then we adopt Gradient Boost Algorithm (Feature Extraction) to extract the features from the faces obtained in the previous step. This is followed by Correlation matching in which, the features obtained are matched with a template of the face to be recognized. If it matches, it signifies that the face is available in the input frame. Or else the face to be recognized is not available in the given image. The final step is using Support Vector Machines classifiers that are used for the actual authentication process. If this step is complete, the recognized face is given as output. Here, the usage of Viola Jones Algorithm has shown an overall increase in accuracy and reduction in computation time.