Miracle-dz/UniFAR-FTUs huggingface dataset:
Do Members of Parliament Express More Opposition in the Plenary than in the Committee? Comparing Frontstage and Backstage Behaviour in Five National Parliaments

This study attempts to break new ground by systematically comparing oppositional behaviour of Members of Parliament (MPs) in the two key arenas found in parliament: the plenary and the committee. Do MPs express more opposition frontstage in the plenary than backstage in the committee when discussing European affairs? The article sheds new light on political opposition in parliament by using a dataset of hand-coded statements made by MPs during plenary debates and European Affairs committee deliberations in five national parliaments. The results lend strong support to the main hypothesis that MPs express more opposition during plenary debates than committee deliberations.
Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan

Traditional village tourism is an effective path to rural revitalization and an excellent way to preserve traditional sceneries and cultural heritage. However, research on the subject matter has been limited. To address some of the current research gaps, this study used 2372 online travelogues from popular travel websites to explore the spatio-temporal distribution and network structure of the tourism flow in traditional villages in western Hunan using ArcGIS and social network analysis. The main findings are as follows: (1) In terms of time distribution, the tourism flow in traditional villages in Western Hunan is dominated by short-term tourism and shows significant seasonal differences. (2) The spatial distribution forms a double-core and multipoint spatial pattern with “Fenghuang Ancient City—Zhangjiajie National Forest Park” as core. (3) The network of traditional villages in Western Hunan exhibits a “core-periphery” hierarchical structure, with a network density of 0.275. Aside from the attraction and appeal of the twin cores, Furong Town and Tianmen Mountain constitute the core points of the network structure, and the radiation drive of the core nodes is not pronounced.
Are species more harmful in their native, neonative or alien range? Insights from a global analysis of bark beetles

Anthropogenic environmental modifications such as climate or land‐use change are causing species to move on their own beyond their native ranges. As this phenomenon will increase in the near future, it is crucial to determine whether range‐expanding species, or neonatives, are more or less likely than native and alien species to impact their recipient ecosystems. Here, we compared impact magnitudes of bark beetle species from their native, neonative and alien ranges, simultaneously.
Real-Time Optimization for an AVR System Using Enhanced Harris Hawk and IIoT

: Recently, several research studies have used standard metaheuristic optimization algorithms rather than traditional algorithms and the Ziegler-Nichols (Z-N) method for tuning PID controller parameters. However, these studies have directly implemented these algorithms in order to configure the cascade control system one time. This paper presents a novel real-time monitoring and optimization architecture based on the Enhanced Harris Hawk Algorithm (EHHOA) and the Industrial Internet of Things (IIoT) for tuning the PID controller parameters for an Automatic Voltage Regulator (AVR) system. The EHHOA is based on a Chaotic map and an opposition-based learning technique that is linked to the IIoT layers. The proposed algorithm was implemented through Simulink in the MATLAB environment and it was compared with the Z-N method, the classical HHO/PID algorithm and the PSO/PID algorithm. The simulation results show that the proposed algorithm managed to enhance tuning with an insignificant difference in comparison with the other employed algorithms and EHHOA gave satisfactory results in adjusting the parameters of the PID controller, especially in IIoT real-time scenarios.
Characterization and Analysis of Polyphenols in Green and Black Tea Brands Available in Commercial Market of Pakistan

In present study, the quality of commercial brands of green and black tea available in Pakistan was analyzed on the basis of phenolic contents. Total phenolic content was analyzed through spectrophotometric measurement using the ferrous Tartrate method. Individual catechins along with gallic acid and caffeine were determined using HPLC-UV. TPC of green tea was found to be higher than black tea. Among green tea brands, Lipton Clear Green showed higher TPC than Tapal Gulbahar. Both green and black tea polyphenols showed higher solubility in the aqueous acetone (50%, v/v) compared towater. (-)-EGCG was detected as the most abundant catechins in all green and black tea samples. Theaflavin content of Lipton Yellow Label and Vital was significantly higher than Tapal Family Mixture and Tetley. Based on catechins and theaflavins content, Lipton Clear Green, Lipton Yellow Label, and Vital Tea were considered to be of higher quality than other brands.
POTENTIAL BENEFITS OF ARBUSCULAR MYCORRHIZA FUNGI IN SUSTAINABLE AGRICULTURAL CULTIVATION

The Arbuscular Mycorrhiza fungi have a mutualistic relationship with 80% of terrestrial plants. Arbuscular Mycorrhiza fungi are considered as a biofertilizer source because of their positive effects on plant growth andproductivity They can help to reduce the amount of chemical fertilizers by up to 50% due to their ability in enhancing crops to uptake mineral nutrients efficently such as nitrogen, phosphorus, potassium, calcium, zinc. thereby increasing crop yield. Moreover, this endosymbiotic fungus also shows its potential as a biopesticide due to its ability to biologically antagonize a wide range of fungi, viruses, and nematodes, which cause diseases on plants. Besides, Arbuscular Mycorrhiza fungi also help plants to resist to abiotic streeses such as drought, salinity, and toxicity of heavy metals. The glomalin compound secreted by mycorrhizal fungi has the ability tobind tiny soil particles together to form a stable soil structure and aggregates, helping to improve soil qualitỵ Thus, Arbuscular Mycorrhiza fungi have a high use potential in sustainable agricultural development under the context of climate change such as drought, salinity intrusion.
Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Title Relationship of adiposity to the population distribution of plasma triglyceride concentrations in vigorously active men and women Permalink

9 Although it is known that triglyceride concentrations increase with adiposity, whether the same increase applies for different percentiles of the triglyceride distribution has not been reported. Therefore, physican-supplied triglyceride concentrations from 7288 male and 2359 female runners were divided into strata according to the body mass index (BMI) and circumferences of the waist, hip and chest. The percentiles of the triglyceride distribution within each stratum were used to determine the cross-sectional regression slope between adiposity and triglyceride levels at each triglyceride percentile. 10
A Class IIb Bacteriocin Plantaricin NC8 Modulates Gut Microbiota of Different Enterotypes in vitro

The gut microbiota is engaged in multiple interactions affecting host health. Bacteriocins showed the ability of impeding the growth of intestinal pathogenic bacteria and modulating gut microbiota in animals. Few studies have also discovered their regulation on human intestinal flora using an in vitro simulated system. However, little is known about their effect on gut microbiota of different enterotypes of human. This work evaluated the modification of the gut microbiota of two enterotypes (ET B and ET P) by the class IIb bacteriocin plantaricin NC8 (PLNC8) by using an in vitro fermentation model of the intestine. Gas chromatography results revealed that PLNC8 had no influence on the gut microbiota’s production of short-chain fatty acids in the subjects’ samples. PLNC8 lowered the Shannon index of ET B’ gut microbiota and the Simpson index of ET P’ gut microbiota, according to 16S rDNA sequencing. In ET B, PLNC8 enhanced the abundance of Bacteroides, Bifidobacterium, Megamonas, Escherichia-Shigella, Parabacteroides, and Lactobacillus while decreasing the abundance of Streptococcus. Prevotella_9, Bifidobacterium, Escherichia-Shigella, Mitsuokella, and Collinsella were found more abundant in ET P. The current study adds to our understanding of the impact of PLNC8 on the human gut microbiota and lays the groundwork for future research into PLNC8’s effects on human intestinal disease.
Improved LiDAR-Camera Calibration Using Marker Detection Based on 3D Plane Extraction

– In this paper, we propose an enhanced LiDAR-camera calibration method that extracts the marker plane from 3D point cloud information. In previous work, we estimated the straight line of each board to obtain the vertex. However, the errors in the point information in relation to the z axis were not considered. These errors are caused by the effects of user selection on the board border. Because of the nature of LiDAR, the point information is separated in the horizontal direction, causing the approximated model of the straight line to be erroneous. In the proposed work, we obtain each vertex by estimating a rectangle from a plane rather than obtaining a point from each straight line in order to obtain a vertex more precisely than the previous study. The advantage of using planes is that it is easier to select the area, and the most point information on the board is available. We demonstrated through experiments that the proposed method could be used to obtain more accurate results compared to the performance of the previous method.
Glycaemic index and glycaemic load of commonly consumed Thai fruits

The present work was aimed to determine the glycaemic index (GI) and glycaemic load (GL) of commonly consumed Thai fruits for the potential risk of chronic diseases. Healthy subjects consumed 25 g available carbohydrate (fruits and glucose) in random order. Eighteen fruits were classified as low GI (26.5 - 54.8%) including jujube, unripe mango, banana (Kluai-Namwa, Kluai-Khai, and Kluai-Leb-Mu-Nang varieties), guava, tamarind, jackfruit, durian (Monthong and Chanee varieties), tangerine, longan, starfruit, pomelo (Thong Dee variety), sapodilla, white dragon fruit, sala, and rambutan. Fruits with medium GI (55.4 - 69.6%) includes pomelo (Kao Nampheung variety), banana (Kluai Hom variety), red dragon fruit, watermelon, coconut, mangosteen, longkong, ripe mango, papaya, rose apple, and lychee. Pineapple has a high GI value. Most of the studied fruits were classified as low GL except for tamarind, red dragon fruit, mangosteen, lychee, and pineapple which were classified as medium GL. Various kinds of Thai fruits provided different GI and GL values. Therefore, low GI fruit with low GL regimen can be considered as alternative food sources to be used for diet manipulation in diabetic patients as well as in healthy population.
Identification of Unknown Endpoint Payload Mass Parameter of Flexible Space Manipulator Based on Subspace Method

： After capturing a non-cooperative object by space manipulator, the unknown mass parameters of manipulator endpoint payload need to be estimated to revise the control parameters. A novel identification method is presented to identify the endpoint payload mass parameters for flexible space manipulator. This approach is based on the projection approximation subspace tracking(PAST) algorithm, and the manipulator’s system dynamical model is linearized at a certain working point. Moreover, the mechanical motion and structural vibration in the dynamical equations are decoupled. Then, the system frequency in this configuration can be determined, and the mass parameter of unknown payload can be derived by extracting the corresponding block matrix. In numerical simulation, the dynamical model of a two-links flexible space manipulator is established, and the parameter identification problems for the different payload masses and manipulator configurations are discussed. The computational results illustrate that the proposed recursive method can effectively identify the endpoint payload mass parameters of space manipulator. Moreover, the recursive method is also compared with the frequently-used algebraic identification algorithm, and the simulation results show that the proposed approach can obtain the payload mass parameters more quickly than the classical algebraic algorithm.
Lidar With Velocity: Correcting Moving Objects Point Cloud Distortion From Oscillating Scanning Lidars by Fusion With Camera

Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes more demanding with the emerging of oscillating type lidars, which feature back-and-forth scanning patterns and complex distortions. Accurately correcting the point cloud distortion would not only describe the 3D moving objects more accurately, but also enable accurate estimation of moving objects’ velocities with enhanced prediction and tracking capabilities. A lidar and camera fusion approach is proposed to correct the oscillating lidar distortions with full velocity estimation. Lidar measures the time-of-flight distance accurately in the radial direction but only with sparse angular information while camera as a complementary sensor could provide a dense angular resolution. In addition, the proposed framework utilizes a probabilistic Kalman-filter approach to combine the estimated velocities and track the moving objects with their real-time velocities and correct point clouds. The proposed framework is evaluated on real road data and consistently outperforms other methods. The complete framework is open-sourced to accelerate the adoption of the emerging lidars.
A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques

Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Among the variety of wireless technology, Wi-Fi surely plays a leading role, especially in local area networks. The spread of mobiles and tablets, and more recently, the advent of Internet of Things, have resulted in a multitude of Wi-Fi-enabled devices continuously sending data to the Internet and between each other. At the same time, Machine Learning has proven to be one of the most effective and versatile tools for the analysis of fast streaming data. This systematic review aims at studying the interaction between these technologies and how it has developed throughout their lifetimes. We used Scopus, Web of Science, and IEEE Xplore databases to retrieve paper abstracts and leveraged a topic modeling technique, namely, BERTopic, to analyze the resulting document corpus. After these steps, we inspected the obtained clusters and computed statistics to characterize and interpret the topics they refer to. Our results include both the applications of Wi-Fi sensing and the variety of Machine Learning algorithms used to tackle them. We also report how the Wi-Fi advances have affected sensing applications and the choice of the most suitable Machine Learning models.
A STUDY OF HYBRID WIDE SLOT ANTENNA WITH HYBRID PARASITIC ELEMENT FOR WIDEBAND APPLICATIONS

In this communication, a hybrid shaped wide slot antenna with hybrid parasitic element has been investigated which is fabricated on an FR-4 substrate (tan(δ) = 0.02, εr = 4.3). The mutual coupling (between the slot and tuning stub), tuning of resonating modes and bandwidth of the antenna are adjusted by changing the dimension of parasitic element and tuning stub. The measured fractional bandwidth of the proposed antenna is 146.82% for S11 < −10 dB which covers the frequency span from 0.92 to 6 GHz. This antenna exhibits resonances at 1.094, 1.56, 2.073, 2.67 and 4.02 GHz. Surface current distribution has been investigated, and series of equations are deduced for resonating frequencies. Radiation characteristic exhibits an eight-shaped pattern at fundamental mode frequency whereas at frequencies 2.85 and 3.91 GHz a distorted pattern has been observed. For understanding the behavior of the antenna, structural parameters are varied in specific ranges.
Experiência de compra online de bens de luxo

A experiência de compra tem sido sugerida como um elemento importante no segmento de luxo no contexto online. Este artigo de revisão de literatura tem como objetivo identificar e compreender o tema de experiência de compra online em websites de luxo e todos os seus possíveis antecedentes e consequências. As interações do cliente com o site de uma organização criam oportunidades para experiências positivas que podem promover a intenção de compra dos consumidores. Esta pesquisa baseou-se numa metodologia de levantamento de informação através da revisão de artigos de literature sobre o tema abordado, particularmente, a experiência de compra online. Os resultados deste estudo indicam que a intenção de compra é um dos elementos mais estudados e relacionados com a experiência de compra online.
Social Media Use and Mental Health in Young Adults of Greece: A Cross-Sectional Study

Background Social media use has vastly increased during the past few years, especially among young adults. Studies examining the relationship of social media use with mental health have yielded mixed findings. Additionally, such studies are extremely limited in Greece. The present study aimed to investigate the association between social media use, depressive symptoms and self-esteem among Greek young adults. Method A total of 654 individuals (50.5% male) aged 18-30 years (Μ = 23.62, SD = 2.71) completed self-reported questionnaires regarding social media use, depressive symptoms and self-esteem. Results Increased daily use of YouTube (more than five hours) showed a significant association with higher depressive symptomatology, b = 2.99, 95% CI [. 78, 5.20], p = . 008, while daily use of Facebook between two and five hours was related to significantly higher self-esteem, b = 1.61, 95% CI [. 78, 2.44], p < . 001, after adjusting for participants’ gender, age, educational level and employment status. The association of increased daily use of YouTube with depressive symptoms was more pronounced in males than in females. Moreover, self-reported active use of Facebook and Instagram were linked with significantly lower depressive symptoms and higher self-esteem compared to passive involvement. Conclusion The results suggest that social media use is closely related to self-esteem and depressive symptomatology in young adults. These findings may contribute to a deeper clinical understanding of the association between electronic social networking and mental health.
Wind Speed Modeling by Nested ARIMA Processes

Wind speed modelling is of increasing interest, both for basic research and for applications, as, e.g., for wind turbine development and strategies to construct large wind power plants. Generally, such modelling is hampered by the non-stationary features of wind speed data that, to a large extent, reflect the turbulent dynamics in the atmosphere. We study how these features can be captured by nested ARIMA models. In this approach, wind speed fluctuations in given time windows are modelled by one stochastic process, and the parameter variation between successive windows by another one. For deriving the wind speed model, we use 20 months of data collected at the FINO1 platform at the North Sea and use a variable transformation that best maps the wind speed onto a Gaussian random variable. We find that wind speed increments can be well reproduced for up to four standard deviations. The distributions of extreme variations, however, strongly deviate from the model predictions.
A Revised Technology–Organisation–Environment Framework for Brick-and-Mortar Retailers Adopting M-Commerce

This paper argues that brick-and-mortar retail Small and Medium Enterprises (SMEs) can benefit significantly from the capabilities of mobile commerce (m-commerce) to respond to the unpredictable changes in the business environment, accommodate new consumer experiences, boost sales of products/services, and achieve a competitive advantage. Consequently, this study explored the potential application of the Technology–Organisation–Environment (TOE) framework for m-commerce by brick-and-mortar retail SMEs. The study adopted the positivist paradigm and followed a cross-sectional study design. A structured questionnaire was used to collect data from a sample of 263 retail business personnel. The Analysis of Moment Structures (AMOS) software was used to analyse the data. The findings unveil that all the proposed constructs associated with the organisational context and technological context are critical for the use of m-commerce. The proposed framework provides a fresh set of contextual variables which align with brick-and-mortar retailer operations and mobile commerce practices. It is envisaged that the extended framework may help conventional businesses to understand and identify the requisite factors in the adoption and use of m-commerce and assist business supporters in the process of technological innovation transfer.
Production and Purification of Pectinase from Bacillus subtilis 15A-B92 and Its Biotechnological Applications

Enzymes that degrade pectin are called pectinases. Pectinases of microbial origin are used in juice clarification as the process is cost-effective. This study screened a pectinase-producing bacterium isolated from soil and identified as Bacillus subtilis 15A B-92 based on the 16S rRNA molecular technique. The purified pectinase from the isolate showed 99.6 U/mg specific activity and 11.6-fold purity. The molecular weight of the purified bacterial pectinase was 14.41 ± 1 kD. Optimum pectinase activity was found at pH 4.5 and 50 °C, and the enzyme was 100% stable for 3.5 h in these conditions. No enzymatic inhibition or activation effect was seen with Fe2+, Ca2+, or Mg2+. However, a slight inhibition was seen with Cu2+, Mn2+, and Zn2+. Tween 20 and 80 slightly inhibited the pectinase, whereas iodoacetic acid (IAA), ethylenediaminetetraacetate (EDTA), urea, and sodium dodecyl sulfate (SDS) showed potent inhibition. The bacterial pectinase degraded citrus pectin (100%); however, it was inactive in the presence of galactose. With citrus pectin as the substrate, the Km and Vmax were calculated as 1.72 mg/mL and 1609 U/g, respectively. The high affinity of pectinase for its substrate makes the process cost-effective when utilized in food industries. The obtained pectinase was able to clarify orange and apple juices, justifying its application in the food industry.
ROR1 and BMI-1 proteins as potential predictors of the effectiveness of hormone therapy in luminal breast cancer

The purpose of the study was to generalize information regarding the molecular and biological mechanisms involved in the resistance to endocrine therapy with aromatase inhibitors in patients with luminal breast cancer. Material and Methods. The literature search was conducted using Medline, Cochrane Library, Elibrary and PubMed databases. Results. The review highlights the results of international studies on molecular and biological characteristics of breast tumors and their relationship with the effectiveness of hormone therapy. Particular attention was paid to the description of modern studies on ROR1 and BMI-1 proteins and their contribution to the development of tumor resistance to treatment. Conclusion. The analysis of the world literature confrms the relevance of studying the molecular and genetic characteristics of tumor tissue in patients with luminal breast cancer. The data obtained were compared to the clinical course and response to hormone therapy in order to standardize them for implementation in everyday practice as the “gold standard of diagnosis”.