Miracle-dz/UniFAR-FTUs huggingface dataset:
Event Monitoring and Intelligence Gathering Using Twitter Based Real-Time Event Summarization and Pre-Trained Model Techniques

Recently, an emerging application field through Twitter messages and algorithmic computation to detect real-time world events has become a new paradigm in the field of data science applications. During a high-impact event, people may want to know the latest information about the development of the event because they want to better understand the situation and possible trends of the event for making decisions. However, often in emergencies, the government or enterprises are usually unable to notify people in time for early warning and avoiding risks. A sensible solution is to integrate real-time event monitoring and intelligence gathering functions into their decision support system. Such a system can provide real-time event summaries, which are updated whenever important new events are detected. Therefore, in this work, we combine a developed Twitter-based real-time event detection algorithm with pre-trained language models for summarizing emergent events. We used an online text-stream clustering algorithm and self-adaptive method developed to gather the Twitter data for detection of emerging events. Subsequently we used the Xsum data set with a pre-trained language model, namely T5 model, to train the summarization model. The Rouge metrics were used to compare the summary performance of various models. Subsequently, we started to use the trained model to summarize the incoming Twitter data set for experimentation. In particular, in this work, we provide a real-world case study, namely the COVID-19 pandemic event, to verify the applicability of the proposed method. Finally, we conducted a survey on the example resulting summaries with human judges for quality assessment of generated summaries. From the case study and experimental results, we have demonstrated that our summarization method provides users with a feasible method to quickly understand the updates in the specific event intelligence based on the real-time summary of the event story.
The Bicarbonate Transporter (MoAE4) Localized on Both Cytomembrane and Tonoplast Promotes Pathogenesis in Magnaporthe oryzae

Bicarbonate (HCO3−) transporter family including the anion exchanger (AE) group is involved in multiple physiological processes through regulating acid-base homeostasis. HCO3− transporters have been extensively studied in mammals, but fungal homologues of AE are poorly understood. Here, we characterized the AE group member (MoAE4) in Magnaporthe oryzae. MoAE4 exhibits more sequence and structure homologies with the reported AE4 and BOR1 proteins. In addition to the common sublocalization on cytomembrane, MoAE4 also localizes on tonoplast. Yeast complementation verified that MoAE4 rescues boron sensitivity and endows NaHCO3 tolerance in the BOR1 deleted yeast. MoAE4 gene is bicarbonate induced in M. oryzae; and loss of MoAE4 (ΔMoAE4) resulted in mycelial growth inhibited by NaHCO3. Lucigenin fluorescence quenching assay confirmed that ΔMoAE4 accumulated less HCO3− in vacuole and more HCO3− in cytosol, revealing a real role of MoAE4 in bicarbonate transport. ΔMoAE4 was defective in conidiation, appressorium formation, and pathogenicity. More H2O2 was detected to be accumulated in ΔMoAE4 mycelia and infected rice cells. Summarily, our data delineate a cytomembrane and tonoplast located HCO3− transporter, which is required for development and pathogenicity in M. oryzae, and revealing a potential drug target for blast disease control.
Benzodiazepines: Uses, Dangers, and Clinical Considerations

Benzodiazepines (BZDs) are among one of the most widely prescribed drug classes in the United States. BZDs are a class of psychoactive drugs known for their depressant effect on the central nervous system (CNS). They quickly diffuse through the blood–brain barrier to affect the inhibitory neurotransmitter GABA and exert sedative effects. Related to their rapid onset and immediate symptom relief, BZDs are used for those struggling with sleep, anxiety, spasticity due to CNS pathology, muscle relaxation, and epilepsy. One of the debilitating side effects of BZDs is their addictive potential. The dependence on BZDs generally leads to withdrawal symptoms, requiring careful tapering of the medication when prescribed. Regular use of BZDs has been shown to cause severe, harmful psychological and physical dependence, leading to withdrawal symptoms similar to that of alcohol withdrawal. Some of these withdrawal symptoms can be life threatening. The current treatment for withdrawal is through tapering with clonazepam. Many drugs have been tested as a treatment for withdrawal, with few proving efficacious in randomized control trials. Future research is warranted for further exploration into alternative methods of treating BZD withdrawal. This call to action proves especially relevant, as those seeking treatment for BZD dependence and withdrawal are on the rise in the United States.
Pressure wave propagation technique to measure the space charge distribution in pressboard impregnated with aged transformer oil

The pressure wave propagation (PWP) technique makes it possible to quantitatively investigate the relationship between the space charge and the conduction process of liquid impregnated pressboard. The space charge and the electric field distributions in an pressboard impregnated with oxidized oil are investigated using the PWP technique under dc voltages at room temperature. A special test cell was designed to hold the sample which was dried in vacuum and thereafter impregnated with the oxidized oil. DC electric fields of /spl plusmn/15.0 kV/mm, /spl plusmn/30.0 kV/mm and /spl plusmn/45.0 kV/mm were applied to the sample to study the dependence of accumulation of space charge on the amplitude and the polarity of applied voltage. Negative space charge is always observed in the vicinity of the negative electrode. At low fields negative space charge is observed also at the positive electrode. Above a certain "critical value" however, both positive and negative charges are observed. <<ETX>>
Using satellite data and deep learning to estimate educational outcomes in data-sparse environments

ABSTRACT The lack of systematic measurements of socioeconomic factors on a worldwide scale remains a significant challenge to our understanding of human well-being. A growing body of literature suggests that some of these measurement gaps can be filled using remote sensing, imputing human conditions on the ground based on the ways in which social groups have modified – or, not – their physical environment. In this article, we contribute to this growing body of literature by presenting a case study estimating school test scores based solely on publicly available imagery in both the Philippines (2010, 2014) and Brazil (2016). We contrast single image convolutional neural network (CNN) approaches to multi-source ensembles and find predictive accuracy for individual schools across years and regions ranging from 76% to 80%. Finally, we discuss broader considerations related to the operational use of CNN-based approaches for measuring socioeconomic factors, and provide open source computer code for community use.
Tumbuhan Yang Dikunjungi Lebah Pekerja Apis (Hymenoptera: Apidae) Di Sumatera Barat

Research about plant visited by Apis forager was conducted at altitude < 500 m and 600-1400 m of West Sumatra from December 2009-July 2010. The plant visited by forager was collected at radius 500 m from nests in fruits cropping, coffea and cinnamom plantation and forest edge. Honeybee from genus Apis visit on plant consisted of four species, those are A. andreniformis, A. cerana, A. dorsata and A. koschevnikovi . Plant visited by forager Apis consisted of 61 species belong to 26 families. The number of 36 plant species found at lowland and highland, 20 species only at lowland and five species at highland. Most of plant species visited by Apis forager are Asteraceae and Leguminoceae. About 29 plant species visited by Apis were agriculture crop and 32 species of non agriculture. Apis andreniformis visited 29 plant species, A. cerana 56 species, A. dorsata 57 species and A. koschevnikovi one plant species. Cucumis sativus was visited by four bee species, Galiansoga farviflora was visited only by A. cerana . Five plant species ( Rorippa indica, Cinnamomum burmanii, Nasturrium indicum, Rorippa indica and Eryngium foetidum ) were visited by only A. d orsata . Other three plants species ( Mangifera indica, Cytrus aurantifolia and Oryza sativa ) were visited by A. cerana and A. andreniformis, 31 plant species were visited by A. cerana and A. dorsata , 21 species were visited by A. andreniformis , A. cerana and A. dorsata. Keywords: lebah madu, Apis forager, food source plant, visit
A multi‐image monitoring framework for statistical process control to improve manufacturing systems

Machine vision system has been widely used for detecting surface defects in a manufacturing process. This paper proposes a new framework for image monitoring with control charts that aims to improve the overall performance in detecting a variety of surface‐related process shifts. Specifically, multiple images of the same object are acquired under different capturing parameters. To illustrate this framework, this paper considers two multi‐image control chart approaches: (1) fusing multiple images together with multilinear principal component analysis and monitoring with a single‐image control chart and (2) using a combined single‐image control chart. A two‐image simulation study, based upon real cross‐correlated images, is accomplished to compare the performances of these two multi‐image control chart approaches to a traditional single‐image control charts. The results indicate that multi‐image control charts outperform single‐image control charts when multiple shifts are considered. Another two‐image simulation study investigates the effect of cross‐correlations to multi‐image control charts’ performances. This study indicates that the two multi‐image control charts have similar performances at low cross‐correlation but the fused‐image control chart outperforms the combined single‐image control chart at high cross‐correlation. In addition, a case study with real images is conducted to demonstrate the proposed multi‐image monitoring framework's ability in detecting shifts.
Time-Delayed Acceleration Feedback Control of a Single-Link Flexible Manipulator Using Kalman Filter

The design problem of a discrete controller with time delay and acceleration feedback for a single-link flexible manipulator system is addressed in this paper. The dynamical model of a single-link flexible manipulator system is presented by the adoption of the finite element method and Lagrange’s equation. Based on the random-walk process and the discrete reduction method, an augmented discretized delay-free state derivate space equation containing the random noise is established. An acceleration-based Kalman filtering method is developed in order to estimate the system state and external excitation necessary for the controller design. In light of the estimated augmented states, a hybrid controller that combines a feedback control algorithm and a feedforward control algorithm is designed according to optimal control theory and Moore–Penrose theory. Numerical simulation results show that the proposed controller can damp out the vibration response of the flexible manipulator system effectively upon external excitations. Moreover, it is further revealed that the control performance of the presented method can be improved by adding the time delay appropriately.
Intelligent reflecting surface‐assisted downlink nonorthogonal multiple access systems

Recently, intelligent reflecting surface (IRS)‐based communication systems are analyzed for 6G and beyond wireless networks. In this paper, we propose an IRS‐assisted downlink nonorthogonal multiple access (NOMA) system by considering separate IRS for near users (NUs) and far users (FUs). The optimal power allocation strategy among NUs and FUs is formulated for the proposed downlink IRS‐NOMA system. The symbol error probability and the sum‐rate performance of the IRS‐NOMA system are analyzed. Further, the impact of the modulation order, the number of reflecting surfaces, the number of phase shifts of reflected signals on symbol error, and power allocation between NU and FU is studied.
Bestuur van die Nasionale Skoolvoedingsprogram in hulpbronarm skole in Limpopo - praktyk, suksesse en uitdagings : oorspronklike navorsing : voedsel

Hierdie studie stel ondersoek in na die wyse waarop die implementering van die Nasionale Skoolvoedingsprogram (NSVP) bestuur word deur skoolhoofde in hulpbronarm laerskole in die Waterberg-distrik van die Limpopo-provinsie. Dit vorm deel van 'n groter gesamentlike studie van die Universiteit van Pretoria en Northeast Normal University (UP en NENU) wat fokus op die stand van prinsipaalskap in beide stedelike en landelike omgewings in Suid-Afrika en in China. Data vir hierdie kwalitatiewe studie is met behulp van onderhoude en waarneming verkry binne die raamwerk van die vier bestuursfunksies soos omskryf deur Van Deventer en Kruger: beplanning; organisasie; leiding en rigtinggewing; asook kontrole en evaluering. Die primere bevinding van die studie is dat hoewel skoolhoofde bewus is van riglyne en praktyke vir die implementering van die NSVP wat deur die Departement van Basiese Onderwys voorgeskryf word, hulle byna volledig op ander rolspelers op skoolvlak staatmaak om die program te bestuur, sonder enige daaglikse betrokkenheid by die proses of enige erkenning van hul eie rol en verantwoordelikhede in hierdie verband. Managing the National School Nutrition Programme in under-resourced schools in Limpopo - practice, successes and challenges. This study investigates the manner in which the implementation of the National School Nutrition Programme (NSNP) is managed by the principals in under-resourced primary schools in the Waterberg district of Limpopo province, and as such forms part of a larger joint UP and NENU study of the state of the principalship in both urban and rural settings in the two countries. Data for this qualitative study was collected within the framework of the four management functions described by Van Deventer and Kruger: planning, organising, leading and directing, as well as controlling and evaluating, by interviewing and observation. The study's primary finding is that, although principals are aware of the guidelines and practices for the implementation of the NSNP, prescribed by the Department of Basic Education, they rely almost entirely on other role player at school level to manage the programme, without any day-to-day involvement in the process or any recognition of their own roles and responsibilities in this regard.
A Study to Assess the Prevalence of Nomophobia among School Going Children

Our lives have been drastically altered by smart phones. Nowadays, we can't do anything without our phones. We must analyse ourselves or think clearly in order to determine whether a cell phone is a boon or a curse. We are all a part of technoculture. Schoolchildren have also been immersed in this aspect of techno-culture during the previous two years. We must properly prepare technology because each technology has both positive and negative elements. Overuse of mobile phones is extremely dangerous to one's health. Students need to have mobile phone to attend classes from the comforts of their home. Smart phone has become the basic necessity of school children daily life and students are slowly coping with this new method of technology for their academic progress. Over usage of mobile phone leads to such an extent that children comes across a situation where they cannot live without the use of mobile phone. Such a situation when students start to have fear when they cannot access their smart phones is known has nomophobia. The present study was carried among the school going children in the Surendernagar district of Gujarat. The findings of the study reveal that overall 52.58 % of the study subjects had moderate level of Nomophobia. Around 32.58 % of the study subjects had mild level of nomophobia. 14.40 of the school children had severe level of nomophobia, while only 0.44% had no signs and symptoms of Nomophobia. Mobile phones have lead to disturbance in the family relationship.
A Retrospective Cohort Study of Lung Cancer Incidences and Epidemiological Analysis in Saudi Arabian Population from 2006–2016

Introduction: Lung cancer is one of the leading causes of cancer-related deaths worldwide, including in Saudi Arabia. In the past few decades, the incidence and mortality has increased considerably among the Saudi population. The incidence of lung cancer has increased more than 3% in less than two decades. The current study focuses on analyzing the frequency of diagnosed lung cancer cases, age-standardized incidence rate (ASIR), and crude incidence rate (CIR) classified by year of diagnosis, age group, and different administrative regions of Saudi Arabia, based on the Saudi cancer registry (SCR) for the period of 10 years from 2006–2016. Methodology: The present study is a cohort study that focuses on the epidemiological analysis of lung cancer cases. The statistical analysis was performed by t-test, sex ratio, Kruskal–Wallis, and descriptive statistics through SPSS version 20.0. Results: A total of 4530 lung cancer cases were reported from January 2006 to December 2016. Among males, the ASIR range was reported as 1.2 to 12.3 per 100,000 cases in different regions of Saudi Arabia. Moreover, among females, the ASIR range was reported from 0.2 to 3.1 per 100,000 cases in different regions of Saudi Arabia. Additionally, the overall age-standardized incidence sex ratio was 3.2 per 100,000 cases. The incidence of lung cancer increased with age as 23% was reported in the age group of more than 75 years. Conclusions: The study concludes a rise in crude incidence rates and ASIR for lung cancer among Saudi population. Among males, the Eastern region had the highest overall ASIR followed by Tabuk region, and, among females, the highest overall ASIR was reported in the Eastern region followed by Riyadh and the Northern region.
A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring

Wireless sensor nodes (WSNs) are the fundamental part of an Internet of Things (IoT) system for detecting and transmitting data to a master node for processing. Several research studies reveal that one of the disadvantages of conventional, battery-powered WSNs, however, is that they typically require periodic maintenance. This paper aims to contribute to existing research studies on this issue by exploring a new energy-autonomous and battery-free WSN concept for monitor vibrations. The node is self-powered from the conversion of ambient mechanical vibration energy into electrical energy through a piezoelectric transducer implemented with lead-free lithium niobate piezoelectric material to also explore solutions that go towards a greener and more sustainable IoT. Instead of implementing any particular sensors, the vibration measurement system exploits the proportionality between the mechanical power generated by a piezoelectric transducer and the time taken to store it as electrical energy in a capacitor. This helps reduce the component count with respect to conventional WSNs, as well as energy consumption and production costs, while optimizing the overall node size and weight. The readout is therefore a function of the time it takes for the energy storage capacitor to charge between two constant voltage levels. The result of this work is a system that includes a specially designed lead-free piezoelectric vibrational transducer and a battery-less sensor platform with Bluetooth low energy (BLE) connectivity. The system can harvest energy in the acceleration range [0.5 g–1.2 g] and measure vibrations with a limit of detection (LoD) of 0.6 g.
Minimal Pathway for the Regeneration of Redox Cofactors

Effective metabolic pathways are essential for the construction of in vitro systems mimicking the biochemical complexity of living cells. Such pathways require the inclusion of a metabolic branch that ensures the availability of reducing equivalents. Here, we built a minimal enzymatic pathway confinable in the lumen of liposomes, in which the redox status of the nicotinamide cofactors NADH and NADPH is controlled by an externally provided formate. Formic acid permeates the membrane where a luminal formate dehydrogenase uses NAD+ to form NADH and carbon dioxide. Carbon dioxide diffuses out of the liposomes, leaving only the reducing equivalents in the lumen. A soluble transhydrogenase subsequently utilizes NADH for reduction of NADP+ thereby making NAD+ available again for the first reaction. The pathway is functional in liposomes ranging from a few hundred nanometers in diameter (large unilamellar vesicles) up to several tens of micrometers (giant unilamellar vesicles) and remains active over a period of 7 days. We demonstrate that the downstream biochemical process of reduction of glutathione disulfide can be driven by the transfer of reducing equivalents from formate via NAD(P)H, thereby providing a versatile set of electron donors for reductive metabolism.
Uma metaheurística para a programação de projectos com multi-modos e recursos limitados

Este artigo apresenta uma nova abordagem (MM-GAV-FBI), aplicavel ao problema da programacao de projectos com restricoes de recursos e varios modos de execucao por actividade, problema conhecido na literatura anglo-saxonica por MRCPSP. Cada projecto tem um conjunto de actividades com precedencias tecnologicas definidas e um conjunto de recursos limitados, sendo que cada actividade pode ter mais do que um modo de realizacao. A programacao dos projectos e realizada com recurso a um esquema de geracao de planos (do ingles Schedule Generation Scheme - SGS) integrado com uma metaheuristica. A metaheuristica e baseada no paradigma dos algoritmos geneticos. As prioridades das actividades sao obtidas a partir de um algoritmo genetico. A representacao cromossomica utilizada baseia-se em chaves aleatorias. O SGS gera planos nao-atrasados. Apos a obtencao de uma solucao e aplicada uma melhoria local. O objectivo da abordagem e encontrar o melhor plano (planning), ou seja, o plano que tenha a menor duracao temporal possivel, satisfazendo as precedencias das actividades e as restricoes de recursos. A abordagem proposta e testada num conjunto de problemas retirados da literatura da especialidade e os resultados computacionais sao comparados com outras abordagens. Os resultados computacionais validam o bom desempenho da abordagem, nao apenas em termos de qualidade da solucao, mas tambem em termos de tempo util.