Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring the Success of Moodle at the University of Belize

As information technology becomes more prevalent and sophisticated, some educational institutions inBelize have begun to implement e-learning for students at the university level. This research utilizedDelone a Mclean’s information success system (DaM ISS) model to evaluate the success of Moodle at theUniversity of Belize (UB), Belmopan Campus. Questionnaires handed out to UB students were based onthe following constructs in the DaM ISS model- Information Quality, System Quality, ComplimentaryTechnology, Self-Efficacy Measure, Service Quality, User Satisfaction, Use, and Perceived NetBenefits. The eight constructs used helped to get a better understanding of Moodle’s success. Mostrespondents had good complimentary technology and could use Moodle without much assistance, atrend which is not common in developing countries. Although there were positive results related to thosetwo constructs, most students did not believe that Moodle has substantial net benefits. Overall, theMoodle platform still has the possibility to be enhanced at the University of Belize in order to furtherserve educators and learners.
Blockchain Dalam Pendidikan: Lapisan Logis di Bawahnya

Edukasi merupakan proses bisnis yang selama berabad telah menjadi pilar pemerintahan dalam membangun bangsa. Proses pelaksanaan edukasi secara global masih belum ada perubahan yang mengikuti perkembangan zaman. Berbagai problem yang dihadapi saat ini oleh pelaksana penyedia jasa edukasi, dalam hal ini sebut saja permasalahan autentikasi dan verifikasi sertifikat yang merupakan luaran mikro maupun makro dari sebuah proses pembelajaran. Adanya mercusuar tentang Blockchain, disebut orang orang sebagai solusi dari masalah polemik pendidikan selama ini. Perpaduan ilmu antara bidang edukasi dan teknologi blockchain akan menciptakan revolusi baru dari industri pendidikan yang dirasa mandek dan tidak sesuai dengan perkembangan zaman saat ini. Terdapat berbagai pencerahan dari solusi ini, namun dirasa belum cukup untuk secara detail menjelaskan ontologi dari edukasi menggunakan blockchain, yang secara keseluruhan membahas tentang keberadaan blockchain for education berdasarkan kajian ilmu. Ontologi for education ini akan berguna sebagai platform literatur bagi peneliti yang akan memulai penelitian dasar dan terapan yang menjurus ke arah blockchain for education. Disamping itu, adanya kelemahan dan inefisiensi dari blockchain yaitu dari segi biaya, ruang penyimpanan, dan kecepatan akan diusulkan solusinya melalui in-chain dan off-chain protocol dalam bentuk framework. Alhasil, penelitian ini juga bisa menjadi landasan platform baru sebagai solusi bagi pemerintah dalam meluncurkan edukasi berbasis blockchain, yang menjadi cikal bakal untuk menciptakan pemerintahan berbasis blockchain.
Evidence-Based and Novel Psychological Therapies for People with Anorexia Nervosa

Anorexia nervosa (AN) is a serious and often highly persistent psychiatric disorder, whereby sufferers struggle to maintain a healthy weight. Its complexity creates challenges regarding treatment, however psychological therapy is recommended by the National Institute for Heath and Care Excellence (NICE). There are four major evidence-based psychotherapies recommended for treating adults – enhanced cognitive behavioural therapy (CBT-E), the Maudsley model of anorexia nervosa treatment for adults (MANTRA), specialist supportive clinical management (SSCM) and focal psychodynamic therapy (FPT)—and three main psychotherapies recommended for treating adolescents with anorexia-family therapy for anorexia nervosa (FT-AN), enhanced cognitive behavioural therapy (CBT-E) and adolescent focused therapy for anorexia nervosa (AFP-AN). Additionally, several novel adjunct treatments are under examination, two of which—cognitive remediation therapy (CRT) and cognitive remediation and emotion skills training (CREST)—are also discussed in this chapter. Other relevant areas regarding psychological treatment include: combinations of medication or occupational therapy and psychotherapy, treating individuals with comorbidities, the challenges of studying psychological treatment for anorexia and future directions of psychotherapies for anorexia, and are also discussed.
Statistical Inference on the Basis of Sequential Order Statistics under a Linear Trend for Conditional Proportional Hazard Rates

This paper deals with systems consisting of independent and heterogeneous exponential components. Since failures of components may change lifetimes of surviving components because of load sharing, a linear trend for conditionally proportional hazard rates is considered. Estimates of parameters, both point and interval estimates, are derived on the basis of observed component failures for s(≥ 2) systems. Fisher information matrix of the available data is also obtained which can be used for studying asymptotic behaviour of estimates. The generalized likelihood ratio test is implemented for testing homogeneity of s systems. Illustrative examples are also given.
Variability of six secondary metabolites in plant parts and developmental stages in natural populations of rare Gentiana pneumonanthe

Abstract Variability in the contents of representative secondary metabolites in Gentiana pneumonanthe individuals was investigated in relation to population origin, plant parts and developmental stage. Chemical analyses (HPLC) of six secondary metabolites (swertiamarin (SWM), gentiopicrin (GP), sweroside (SWZ), mangiferin (MGF), isoorientin (ISOOR), and isovitexin (ISOV)) were performed for individuals from six populations located within a 3 × 3 km area at Maljen Mt., and separately for below- and above ground plant parts in three developmental stages. Different plant parts showed pronounced differences in the contents of the six secondary metabolites and a high level of variability during the plant ontogeny. The highest contents of three dominant compounds (SWM, GP, and MGF) were detected in different developmental stages. Both below- and above ground plant parts contained GP, MGF, SWZ, and SWM at some developmental stages, whereas ISOOR and ISOV were registered in above ground parts. The full-flowering stage was characterized by the highest contents of MGF, GP, and ISOOR in aboveground-, and GP in belowground parts. In the post-flowering stage, a high content of MF was detected in below ground parts. The results of this study contribute to a better understanding of interpopulation, ontogenetic and between-organ variability in rare and threatened G. pneumonanthe.
Pericytes and Astrocytes Crosstalk: Understanding Perivascular Synergism at the BBB

The Blood brain barrier (BBB) plays a critical role in maintaining brain homeostasis. Astrocytes (AC) lying adjacent to BBB endothelial cells (EC) have been reported to play a major role in ECs polarization and differentiation into a BBB phenotype. Pericytes (PC) have been reported to synthesize most elements of the basement membrane and provide structural support and vasodynamic capabilities to the brain microvasculature thus suggesting a more primary role in BBB differentiation than previously anticipated. Whether PC and AC modulate each other functions and activities (thus affecting the BBB) are still poorly understood. For this purpose we analyzed the conditioned media from human AC, PC and AC‐PC cultures and assessed the morphological changes in correspondingly treated human BBB EC. Analysis of culture media have shown that Ang‐1 (important for BBB TJ formation) was primarily released by PC rather than AC (release of Ang‐2) thus suggesting that PC play an important role in BBB maturation. Furthermore, PC induced AC redistribution (cytosol to membrane) of glut‐1, important for glucose transport across the BBB was seen. This suggests that PC can modulate AC functions thus affecting the BBB. In addition, EC culture in presence of PC and/or AC‐PC conditioned media (but not AC alone) reassembled in a capillary like structure formation. This suggests that PC also play a role during angiogenesis of brain microcapillary.
90 nm Current Mirror Based Transimpedance Amplifiers for Fiber Optic Applications

This research displayed the new design of a 90 nm CMOS technology transimpedance amplifier (TIA) with current mirror executed. The goal and challenge in this research are to arrive at low consumption of power while activating other required performances. Integrated circuits CMOS(Complimentary Metal-Oxide Semiconductor) tend to be the best technology achieving the desired level of integration with appropriate speed, cost, and gain for this were used. The proposed transimpedance amplifier (TIA) consists of a common-gate (CG) topology with a current mirror to increase TIA gain and common-source (CS) TIA with the active feedback resistor. In addition, to verify the proposed TIA performance, circuit simulations are done in NI Multisim 14.1 using 90nm CMOS technology parameters. Therefore, the simulation results of the proposed TIA for 90 nm CMOS technology indicate a transimpedance gain of 66.63 dBΩ with -3dB frequency bandwidth of around 1.0 GHz for input capacitance of 250 fF, input-referred noise of 25.413 pA/ and with the power consumption of only 1.08m at 1V supply voltage. This low power consumption and supply voltage are the main emphases of this work in comparison with other research literature.
Pan-cancer analysis on microRNA-mediated gene activation

While microRNAs (miRNAs) were widely considered to repress target genes at mRNA and/or protein levels, emerging evidence from in vitro experiments has shown that miRNAs can also activate gene expression in particular contexts. However, this counterintuitive observation has rarely been reported or interpreted in in vivo conditions. We systematically explored the positive correlation between miRNA and gene expressions and its potential implications in tumorigenesis, based on 8375 patient samples across 31 major human cancers from The Cancer Genome Atlas (TCGA). Results indicated that positive miRNA-gene correlations are surprisingly prevalent and consistent across cancer types, and show distinct patterns than negative correlations. The top-ranked positive correlations are significantly involved in the immune cell differentiation and cell membrane signaling related processes, and display strong power in stratifying patients in terms of survival rate, demonstrating their promising clinical relevance. Although intragenic miRNAs generally tend to co-express with their host genes, a substantial portion of miRNAs shows no obvious correlation with their host gene due to non-conservation. A miRNA can upregulate a gene by inhibiting its upstream suppressor, or shares transcription factors with that gene, both leading to positive correlation. The miRNA/gene sites associated with the top-ranked positive correlations are more likely to form super-enhancers compared to randomly chosen pairs, suggesting a potential epigenetics mechanism underlying the upregulation. Wet-lab experiments revealed that positive correlations partially remain in the in vitro condition. Our study provides the field with new perspectives on the critical role of miRNA in gene regulation and novel insights regarding the complex mechanisms underlying miRNA functions, and reveals the clinical significance of the potential positive regulation of gene expression by miRNA.
Automated Identification and Application of Code Refactoring in Scratch to Promote the Culture Quality from the Ground up

ion Duplication-eliminating refactorings have an obvious impact on abstraction (i.e., Extract Custom Block increases procedural abstraction, Extract Parent Sprite increases object abstraction, and Extract Constant increases uses of variable, a basic data 72 Chapter 5. Systematic Code Quality Improvement for Scratch abstraction). Lastly, Reduce Variable Scope improves information hiding or encapsulation, which correlates with the increase in the usage of local variables. The result indicates the refactored projects (N=43) which have used local variables at least once could see an increased usage of local variables by 52% on average. A great room for improvement in the usages of local variable is expected as changing the scope of declared variable in Scratch is an expensive and tedious transformation requiring the programmer to create a new variable with the intended scope and replace each existing variable block with the newly created one manually.ion). Lastly, Reduce Variable Scope improves information hiding or encapsulation, which correlates with the increase in the usage of local variables. The result indicates the refactored projects (N=43) which have used local variables at least once could see an increased usage of local variables by 52% on average. A great room for improvement in the usages of local variable is expected as changing the scope of declared variable in Scratch is an expensive and tedious transformation requiring the programmer to create a new variable with the intended scope and replace each existing variable block with the newly created one manually.
A REVIEW OF THE ANTI-INFLAMMATORY AND ANTIMICROBIAL ACTIVITIES OF THE COMPONENTS OF THE CECROPIA GENUS

The genus Cecropia belongs to the Urticaceae family and has a wide diversity of species in several regions of South America. In folk medicine, they have many uses, such as hypoglycemic, antihypertensive, anti-inflammatory, and sedative. Species of the genus Cecropia, such as Cecropia pachystachya, Cecropia glaziovii, and Cecropia obtusifolia, have been the subject of several phytochemical studies, and the main isolated compounds were orientin, isoorientin, isovitexin, vitexin, as well as c-glycosylflavonoid compounds. These active compounds were characterized as responsible for the use of Cecropia plants in the treatment of inflammation and also as antimicrobial agents. This review aims to describe the main characteristics of the genus Cecropia, exploring the compounds responsible for the medicinal uses of these species and focusing on anti-inflammatory and antimicrobial uses.
Thematic influences on word-to-text integration across a sentence boundary

ABSTRACT We report ERP evidence for local (preceding sentence) and global (thematic centrality) influences on word-to-text integration. Helder et al. (2019) found that the preceding sentence, rather than the central theme, is the primary source of integration, indexed by the N400 on the sentence-initial noun. The present experiments add evidence for thematic centrality effects. In Experiment 1, an N400 reduction occurred on the sentence-initial noun when an antecedent was remotely positioned in the preceding sentence and referred to the central theme, relative to Baseline. Experiment 2 further encouraged thematic processing by having participants select passage titles, producing an N400 reduction for sentence-initial nouns related to the central theme. Sentence-final nouns showed local influence on the N400 and P600, with no effect of centrality. We conclude that thematic centrality can influence integration across a sentence boundary when the antecedent is less accessible and the reader’s task encourages attention to global structure.
PROGRAMOVANIE CNC STROJOV – JE TO SKUTOČNÉ PROGRAMOVANIE?

V ramci kurikuralnej reformy, ktora aktualne prebieha v Ceskej republike, sa planuje vytvoriť samostatna vzdelavacia oblasť „Clověk a technika“ s vyucovacim predmetom Technika. Tento predmet ma zabezpeciť vzdelavanie žiakov a studentov po technickej stranke, do ktorej spada aj praca s CNC strojmi. Veľakrat sa prave s CNC strojmi spaja slovo „programovanie“, ktore vsak nie je typicke pocitacove programovanie vyucovane na stredných a vysokých skolach. Nasledujuci clanok sa venuje prave teoretickej analýze a porovnaniu týchto dvoch druhov programovania, z ktoreho vyplýva ci sa programovanie CNC strojov može považovať za programovanie alebo nie.
Environmental and Economic Sustainability of Swine Wastewater Treatments Using Ammonia Stripping and Anaerobic Digestion: A Short Review

One of the most promising systems to treat swine wastewater is air stripping. This system simultaneously recovers nitrogen salts, to be used as fertiliser, and reduces the organic pollutant load in the effluents of swine breeding farms. Several reviews have discussed the air stripping as a treatment for many types of industrial wastewater or nitrogen-rich digestate (the liquid effluent derived from the anaerobic digestion plants) for the stripping/recovery of nutrients. However, reviews about the use of air stripping as treatment for raw or anaerobically digested swine wastewater are not available in literature. To fill this gap, this study: (i) Summarises the experiences of air stripping for recovery of ammonium salts from both raw and digested swine wastewater; and (ii) compares air stripping efficiency under different operational conditions. Moreover, combined systems including air stripping (such as struvite crystallisation, chemical precipitation, microwave radiation) have been compared. These comparisons have shown that air stripping of raw and digested swine wastewater fits well the concept of bio-refinery, because this system allows the sustainable management of the piggery effluent by extracting value-added compounds, by-products, and/or energy from wastewater. On the other hand, air stripping of raw and digested swine wastewater has not been extensively studied and more investigations should be carried out.
The Influence of R&D Intensity on Financial Performance: The Mediating Role of Human Capital in the Semiconductor Industry in Taiwan

Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.
An Ultra-Low Power 2.4 GHz Transmitter for Energy Harvested Wireless Sensor Nodes and Biomedical Devices

We present a 2.4GHz ultra-low power energy-harvested narrowband transmitter (TX) for wireless sensing and biomedical devices. We used a 434 MHz RF energy for resonant cavity based wireless power transfer (WPT). An efficiency tracking loop maximizes the power transfer efficiency of WPT and achieves an efficiency of 11.5%. The TX comprises a voltage-controlled power oscillator (VCPO) and a loop antenna which is patterned over a flexible Parylene C substrate to achieve biocompatibility. The loop antenna acts as a radiator as well as an inductive element for the VCPO, eliminating a power amplifier stage and bulky off-chip matching network. The TX is designed for low active and sleep mode power consumption to support both continuous-data mode or deeply duty cycled burst-data mode of transmission. Implemented in <inline-formula> <tex-math notation="LaTeX">$0.18~\mu \text{m}$ </tex-math></inline-formula> CMOS, the TX supports OOK and FSK modulations with the sleep mode power dissipation of 128 pW. Our active RF TX consumes an active-mode power of <inline-formula> <tex-math notation="LaTeX">$70~\mu \text{W}$ </tex-math></inline-formula> at 10 Mbps while radiating −33 dBm of power, resulting in an energy efficiency of 7 pJ/bit, which is the best reported till date.
Social aspects role and the behavior of drinking water among students in a private university

Lack of consuming drink water can cause many effects on the body. The long term effects of less consuming water dangerous for health. The diseases related to the less consuming water are respiratory tract infections, gastrointestinal disease, urinary infections, cancer, diabetic, kidney disease, and also others metabolic disorders. Those diseases affected to the financial burden due to this situation. It happens because of some factors, many studies mentioned about the behavior of drinking water among adolescents in school affected by some sociodemographic and behavioral factors. This study shows that most of respondents have a bad habit to keep their health kidney it is evident that the majority of respondents have urine color that tends to concentrated which is categorized as unhealthy urine. The limitation of the study was not measure the amount of drink water consuming for each respondents per day.
Graph Attention LSTM: A Spatiotemporal Approach for Traffic Flow Forecasting

This article investigates a traffic-flow forecasting problem based on long–short term memory (LSTM), an artificial recurrent neural network architecture used in deep learning. By representing the road network as an unweighted directed graph, the traffic flow prediction problem becomes how to capture the spatiotemporal dependencies among nodes in the graph. We present a novel graph-attention LSTM structure, which leverages the strength of the graph-attention mechanism for non-Euclidean structured data modeling and that of the LSTM cell for time-series modeling. To demonstrate the effectiveness of the proposed method, two real-world data sets are evaluated. The results show that our model performs better than existing baselines.
Reasons of the transformed toward NOSQL Databases and its data models

The relational database model is the main focus of the database for the previous time. It provides robust data storage and structure that supports transaction characteristics and data retrieval with structured query languageSQL. The emergence of web technologies and clustering technology in large servers called for the need to store unstructured data and move away from the pattern of tables and static fields and not topic to transaction conditions, especially in distributed systems. Instead, it used CAP theory. New data models are emergence including: Document Data model, Key-Value model, Column-Family model, and Graph model, And new programming languages that deal with these models. An asset inventory system is a model of systems that are not topic to a fixed structure. Each location in the organization has fairly different assets and assets in the same location have different specifications that are difficult to organize in the form of tables and columns. For this reason using of NOSQL CouchDB database system was adopted and the use of MAP-REDUCE technology to organize data display and Cloudant Query in Mango-view method to retrieve data from the inventory database.