Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling Credibility in Social Big Data using LSTM Neural Networks

: Communication accounts for a vital need among people in order to express and exchange ideas, emotions, messages, etc. Social media fulﬁll this necessity as users can make use of a variety of platforms like Twitter, to leave their digital ﬁngerprint by uploading personal data. The ever humongous volume of users claims for evaluation and that is why the subject of user credibility or trust in a social network is equally vital and meticulously discussed in this paper. Speciﬁcally, a trust method, as we measure user credibility and trust in a social environment using user metrics, is proposed. Our dataset is derived from Twitter and consists of tweets from a popular television series. Initially, our text data are analyzed and preprocessed using NLP tools and in following, a balanced dataset that serves in model evaluation and parameter tuning, is constructed. A deep learning forecasting model, which uses LSTM/BiLSTM layers along with classic Artiﬁcial Neural Network (ANN) and predicts user credibility, is accessed for its worth in terms of model accuracy.
INVESTIGATION OF LASER RANGEFINDERS WITH SENSOR NETWORK INTERFACE

The object of research is a laser rangefinder with a wireless sensor network interface protocol ZigBee, which in this study is proposed for the function of measuring the distance between objects. The main spheres of application are spheres where reliable information about the location of objects relative to each other is required. To increase the reliability, it is proposed to combine the possibility of measuring the distance between objects of sensor networks and data obtained from a laser rangefinder. These two methods are combined in one device. One of the most problematic places is the error of the measuring equipment. Also, for the objects described above, various obstacles are typical, like mechanical (trees, hills, lowlands), and radio interference. In the course of the research, the method of increasing the accuracy of measuring the distance of wireless sensor networks was used. To do this, they are combined with laser rangefinders, which are part of computerized distance measuring systems built on the basis of a combination of measurement methods of a different nature. Site localization studies were carried out for the average deviation value when ranking in 1 m (20 measurements), as well as on the progressive function of the required number of transactions. To calibrate the measured measurements, a minimum period of two-sided pass was calculated for the average value, when the receivers are in close proximity to one another (0.01 m). This average value on was calculated from each ranking measurements before converting to an immediate distance value. The results confirm an improvement in the efficiency of the ranking by averaging a plurality of samples to an error value of 6.0 m. The accuracy of the method was constant throughout the test propagation range (within a radius of 250 m).
You’ll never want to watch alone: the effect of displaying in-stadium social atmospherics on media consumers’ responses to new sport leagues across different types of media

ABSTRACT Research question This paper examines how displaying fans in the stadium using different types of visual content (pictures and videos) influences media consumers’ responses to sport leagues previously unknown to them. Specifically, we investigate how high versus low displays of social atmospherics in pictures and videos affect consumers’ cognitive (attributions of attractiveness to the league) and affective (emotional arousal) responses. In addition, we analyze how these responses transfer to intentions to watch future broadcasts. Research methods The hypotheses are tested in two online experiments using one-factorial (social atmospherics: high versus low) between-subjects designs. The research context is German sport media consumers and promotional material of the Australian Football League (AFL). Results and findings The findings suggest that displaying high (versus low) social atmospherics in pictures can increase the perceived attractiveness that consumers attribute to a new sport league, while such content in videos increases consumers’ emotional arousal. These cognitive and affective processes transfer to intentions to view future broadcasts of the league. Implications Our findings imply that while on-site fans are declining in relative numbers in media-dominated professional team sport markets, these fans are highly relevant for the success of team sport-related media offers and the attraction of new consumers.
THE INFLUENCE OF USING FUNDAMENTAL AND TECHNICAL ANALYSIS ON SHARE PRICES

This study aims to determine the effect of the variables contained in fundamental and technical analysis of stock prices. Variables used include Earning Per Share, Return On Assets, Book Value Per Share, Price to Book Value, Past Share Prices, Dup and Ddown. Sample selection uses saturated samples by using all food and beverage companies listed on the Indonesia Stock Exchange in the 2014-2018 period. The data analysis technique used is regression analysis using SPSS 23. The results of the study show that simultaneously all variables affect the stock price. Partially Earning Per Share, Price to Book Value, Past Share Prices, and Ddown have a significant effect on stock prices, while Return On Assets, Book Value Per Share, and Dup have no significant effect on stock prices.
Dynamics of Plant Metabolism during Cold Acclimation

Plants have evolved strategies to tightly regulate metabolism during acclimation to a changing environment. Low temperature significantly constrains distribution, growth and yield of many temperate plant species. Exposing plants to low but non-freezing temperature induces a multigenic processes termed cold acclimation, which eventually results in an increased freezing tolerance. Cold acclimation comprises reprogramming of the transcriptome, proteome and metabolome and affects communication and signaling between subcellular organelles. Carbohydrates play a central role in this metabolic reprogramming. This review summarizes current knowledge about the role of carbohydrate metabolism in plant cold acclimation with a focus on subcellular metabolic reprogramming, its thermodynamic constraints under low temperature and mathematical modelling of metabolism.
Carpogenic ZnO nanoparticles: amplified nanophotocatalytic and antimicrobial action.

This investigation has for the first time utilised environmental resource Prunus cerasifera seed extract phytochemicals for the green synthesis of carpogenic ZnO nanoparticles (NPs). Spherical morphology and size range of 56.57-107.70 nm at variable calcination temperatures without the use of any external reducing agent was obtained. The synthesised NPs exhibited hexagonal wurtzite geometry with an average crystal size 5.62 nm and a band gap of 3.4 eV. Carpogenic NPs were investigated for optical, compositional, morphological, and phytochemical make up via ultraviolet spectroscopy (UV-Vis), Fourier transform infrared analysis, X-ray powder diffraction, scanning electron microscopy, and gas chromatography and mass spectrometry. Carpogenic NPs degraded methyl red up to 83% with pseudo-first-order degradation kinetics (R2 = 0.88) in 18 min signifying their remediation role in environment in conformity with all principles of green chemistry. Photocatalytic assays were performed in direct solar irradiance. Nine pathogens of biomedical and agricultural significance having multi-drug resistance were inhibited in vitro via the Kirby-Bauer disc diffusion assay. The enhanced photocatalytic and antimicrobial inhibition not only makes carpogenic ZnO NPs a future photo-degradative candidate for environmental remediation but also a nanofertiliser, nanofungicide, and nanobactericide synthesised via bioinspired, biomimetic, green, and unprecedented route.
A microbial siderophore-inspired self-gelling hydrogel for noninvasive anticancer phototherapy.

Microbial carboxyl and catechol siderophores have been shown to have natural iron-chelating abilities, suggesting that hyaluronic acid (HA) and the catechol compound, gallic acid (GA), may have iron-coordinating activities. Here, a photoresponsive self-gelling hydrogel that was both injectable and could be applied to the skin was developed based on the abilities of HA and GA to form coordination bonds with ferric ions (Fe3+). The conjugate of HA and GA (HA-GA) instantly formed hydrogels in the presence of ferric ions and showed near infrared (NIR)-responsive photothermal properties. Following their subcutaneous injection into mice, HA-GA and ferric ion formed a hydrogel, which remained at the injection site for at least 8 days. Intratumoral injection of HA-GA/Fe hydrogel into mice allowed repeated exposure of the tumor to NIR irradiation. This repeated NIR irradiation resulted in complete tumor ablation in KB carcinoma cell-xenografted mice, and suppressed lung metastasis of 4T1-Luc orthotopic breast tumors. Application of HA-GA/Fe hydrogel to the skin of A375 melanoma-xenografted tumor sites, followed by NIR irradiation, also resulted in complete tumor ablation. These findings demonstrate that single applications of HA-GA/Fe hydrogel have photothermal anticancer effects against both solid tumors and skin cancers.
Kolyvagin’s work and anticyclotomic tower fields:
the supersingular case

Let E/Q be an elliptic curve, p a prime and K∞/K the anticyclotomic Zp-extension of a quadratic imaginary field K satisfying the Heegner hypothesis. Kolyvagin has shown under certain assumptions that if the basic Heegner point yK ∈ E(K) is not divisible by p, then rank(E(K)) = 1 and X(E/K)[p∞] = 0. Assuming that E has supersingular reduction at p and other conditions, we show using Kolyvagin’s result and Iwasawa theory that for all n we have rank(E(Kn)) = pn and X(E/Kn)[p∞] = 0
Climatological water balance and climate classification of thornthwaite and mather for benin, west Africa, in 1970-2015 period

The climate is described by the predominant atmospheric conditions in a particular region and influences several human activities. In agriculture, water availability defines the growth and yield of crops and can be obtained by the water balance. The climate classification also aids to identify suitable areas for agricultural crops. Thus, the aim of this work was to elaborate the water balance and perform the climate classification through the method of Thornthwaite and Mather (1955) for six weather stations (Bohicon, Cotonou-Airport, Kandi-Airport, Natitingou, Parakou-Airport and Savè) located in Benin, Western Africa. For the execution of this work, monthly series of precipitation and potential evapotranspiration from 1970 to 2015 were used. Once the monthly water balance of the six seasons was elaborated, it was observed that the rainy (dry) period decreases (increases) from the coast (Cotonou-Airport) to the north of Benin (Kandi-Airport) and, coincides with Boreal summer and part of autumn (Boreal winter and part of spring). Regarding the climate classification, the Cotonou-Airport station was characterized as Subhumid Megathermal climate with moderate winter deficit (C2wA’a’); the stations of Bohicon and Savè presented similar climate classification with Subhumid Dry Megathermal climate with low or without water surplus (C1dA’a’); Natitingou with Subhumid Dry climate Megathermal with large summer surplus (C1s2A’a’); Parakou-Airport with Subhumid climate Dry Megathermic with moderate summer surplus (C1sA’a’) and, Kandi-Airport presented Semi-arid Megathermal climate with moderate summer surplus (DsA’a’). In Benin, subsistence and rainfed farming showed greater risk in the north of the country due to the decrease in the rainy season and the water surplus from the coast (south) to the north of the country, with the increase in aridity.
Approximate optimality and approximate duality in nonsmooth composite vector optimization

This paper concentrates on studying a nonsmooth composite vector optimization problem (P for brevity). We employ a fuzzy necessary condition for approximate (weakly) efficient solutions of a nonconvex and nonsmooth cone constrained vector optimization problem established in [Choung, T. D. Approximate solutions in nonsmooth and nonconvex cone constrained vector optimization Ann. Oper. Res. (2020), https://doi.org/10.1007/s10479-020-03740-3. ] and the a chain rule for generalized differentiation to provide a necessary condition which exhibited in a Fritz-John type for approximate (weakly) efficient solutions of P. Sufficient optimality conditions for approximate (weakly) efficient solutions to P are also provided by means of proposing the use of (strictly) approximately generalized convex composite vector functions with respect to a cone. Moreover, an approximate dual vector problem to P is given and strong and converse duality assertions for approximate (weakly) efficient solutions are proved.
Memoryless: A Two-phase Methodology for Setting Memory Requirements on Serverless Applications

: Serverless computing, also known as Function as a Service, is a new paradigm that aims to separate the user of the platform from details about any infrastructure deployment. The problem lies in the fact that all the current Serverless platforms require the user to specify at least the needed memory usage for their Serverless offerings. Here we have a paradox since the users must be involved in technical issues to run their applications efﬁciently, both in terms of execution time and ﬁnancial costs. To the best of our knowledge, the state-of-the-art lacks on providing studies regarding the best memory size for a particular application setting. In this context, this work presents Memoryless, a computational methodology that is in charge of removing the completion of memory limits by the user when launching Serverless demands. To accomplish this, we introduce in the literature a two-pass algorithm composed of a microbenchmark where users inform simple application parameters (ﬁrst pass) and receive from the hypervisor the memory required to run their demands. In addition to user abstraction, ﬁnancial cost also drives our research, since commonly this metric is directly proportional to the selected memory size. We implemented Memoryless using NodeJS, Kubeless, and Kubernetes. The result conﬁrms that the proposed methodology is capable of lowering the memory needs to run an application while maintaining expected execution times. This beneﬁts both cloud administrators (who can run more Serverless demands for different users in parallel) and cloud users, who will pay less on using the cloud, so exploring better the pay-as-you-go policy.
Implementation of genomic selection in public-sector plant breeding programs: Current status and opportunities

The usefulness of genomic selection (GS) for improvement of complex traits has been demonstrated in plant and animal breeding. While fully adopted in the livestock sector and commercial plant breeding, the implementation of GS in public-sector plant breeding programs lags. The goal of this review is to discuss advancements in GS implementation and opportunities for near-term and long-term adoption in public-sector plant breeding programs. We also highlighted specific applications of GS for cultivar development ordered by what we believe to be their feasibility, where feasibility is defined by cost, disruption to current breeding practices, and risk.
MACULAR SENSITIVITY AND CAPILLARY PERFUSION IN HIGHLY MYOPIC EYES WITH MYOPIC MACULAR DEGENERATION

We evaluated the macular sensitivity and retinal perfusion density in 138 highly myopic eyes with myopic macular degeneration. A strong correlation was found between reduced macular sensitivity and increasing myopic macular degeneration severity and was correlated with reduction in the deep retinal perfusion density, suggesting a vasculature–function relationship. Purpose: To evaluate the interrelationship between macular sensitivity and retinal perfusion density (PD) in eyes with myopic macular degeneration (MMD). Methods: One hundred and thirty-eight highly myopic eyes from 82 adult participants were recruited. Macular sensitivity was evaluated using the Microperimeter MP-3. Retinal PD was measured using the PLEX Elite 9000 swept source optical coherence tomography angiography. Macular sensitivity values between different categories of MMD and its relationship with optical coherence tomography angiography measurements were evaluated using multivariable linear mixed models, adjusting for age and axial length. Results: Macular sensitivity reduced with increasing severity of MMD (β ≤ −0.95, P < 0.001), whereas the best-corrected visual acuity was not associated with MMD severity (P > 0.04). Persons who were older (β = −0.08, P < 0.001), with longer axial length (β = −0.32, P = 0.005), presence of macular diffuse choroidal atrophy (β = −2.16, P < 0.001) or worse MMD (β = −5.70, P < 0.001), and presence of macular posterior staphyloma (β ≤ −2.98, P < 0.001) or Fuchs spot (β = −1.58, P = 0.04) were associated with reduced macular sensitivity. Macular sensitivity was significantly associated with deep retinal PD in MMD (β = 0.15, P = 0.004) but not with superficial retinal PD (P = 0.62). Conclusion: There was a strong correlation between reduced macular sensitivity and increasing MMD severity, even in mild MMD independent of the best-corrected visual acuity. Furthermore, macular sensitivity was correlated with deep retinal PD, suggesting a vasculature–function relationship in MMD.
Exosomes in Ageing and Motor Neurone Disease: Biogenesis, Uptake Mechanisms, Modifications in Disease and Uses in the Development of Biomarkers and Therapeutics

Intercellular communication between neurons and their surrounding cells occurs through the secretion of soluble molecules or release of vesicles such as exosomes into the extracellular space, participating in brain homeostasis. Under neuro-degenerative conditions associated with ageing, such as amyotrophic lateral sclerosis (ALS), Alzheimer’s or Parkinson’s disease, exosomes are suspected to propagate toxic proteins. The topic of this review is the role of exosomes in ageing conditions and more specifically in ALS. Our current understanding of exosomes and exosome-related mechanisms is first summarized in a general sense, including their biogenesis and secretion, heterogeneity, cellular interaction and intracellular fate. Their role in the Central Nervous System (CNS) and ageing of the neuromotor system is then considered in the context of exosome-induced signaling. The review then focuses on exosomes in age-associated neurodegenerative disease. The role of exosomes in ALS is highlighted, and their use as potential biomarkers to diagnose and prognose ALS is presented. The therapeutic implications of exosomes for ALS are considered, whether as delivery vehicles, neurotoxic targets or as corrective drugs in and of themselves. A diverse set of mechanisms underpin the functional roles, both confirmed and potential, of exosomes, generally in ageing and specifically in motor neurone disease. Aspects of their contents, biogenesis, uptake and modifications offer many plausible routes towards the development of novel biomarkers and therapeutics.
17-30 GHZ RELIABLE AND COMPACT ANALOG PHASE SHIFTER USING LATERAL MICROMACHINED SP7T SWITCHES, AND DMTL ARRAYS

—In this work, radio frequency (RF) micro-electromechanical system (MEMS) based analog phase shifter is presented over 17–30 GHz. The proposed phase shifter is made using two back-to-back single-pole-seven-throw (SP7T) switches and connected through seven distributed MEMS transmission lines (DMTL). The SP7T switch is designed with lateral electrostatic actuation and demonstrates measured average return loss of > 11 . 3 dB, insertion loss of < 5 . 94 dB, isolation of > 22 dB up to 30 GHz. Total area of the SP7T switch is only 0.89 mm 2 including bias lines and pads. The proposed wide-band phase shifter can be tuned at all the frequencies between 17–30 GHz. Phase shifter gives measured average insertion loss of < 6 . 94 dB, return loss of > 10 dB and phase error of ∼ 1 ◦ at 17 GHz to 30 GHz over 500 MHz bandwidth. All phase shifts can be tracked with a resolution of 22.5 ◦ based over predeﬁned actuation voltages. Total area of the fabricated device is ∼ 11 . 72 mm 2 . In addition, switches and phase shifter work satisfactorily > 1 billion cycles with 0.1–1 W of RF power. To the best of our knowledge, the proposed phase shifter bank gives highest broadband performances over 17–30 GHz with a constant resolution utilizing analog tuning and it operates > 1 billion cycles of reliability with 1 W of RF power.
A User-Centered, Integrated Model to Improve Medication Prescription, Administration and Adherence in Switzerland

Medication adherence remains an obstacle for the ideal medical care. Communication issues arise between care-providers, and the patient is left to deal with potentially conflicting information. The new electronic patient record (EPR) that will soon be implemented nationally opens new perspectives to improve patient medication management. In this context, we propose an integrated model that could help further empower the patient with better communication about medications and considerations for reconciliation processes. We discuss important considerations for our proposed solution.
Assessment of Universities’ and Higher Education Centers’ Preparedness for Successful Establishment of Enterprise Resource Planning Based on SWARA Method

Regarding existing pressures for effectiveness and performance improvement, there is a steep rise for the establishment of Enterprise Resource Planning (ERP). Unfortunately, failure rate for successful ERP establishment is high. Thereupon, evaluation of organizations’ preparedness to ensure organizational capabilities aimed at reaching desired outcomes is of paramount importance. The current research is intended to suggest Step-wise Weight Assessment Ractio Analysis (SWARA) method and assess the preparedness of our case study, i.e. the University of Mazandaran, for successful ERP implementation. Related factors impacting on the accomplishment of the ERP system were identified from former studies and weighted according to a hierarchical structure using our suggested methodology. After receiving numerical results, the preparedness of the University of Mazandaran for successful ERP implementation was calculated when the final weights were determined. Results showed that motivations required for ERP establishment as well as processes and IT infrastructures are average, while the influencing cultural factors, protective factors, and capabilities of the organization are weak.
Orange essential oil as antimicrobial additives in poly(vinyl chloride) films

In this work were developed and evaluated films of poly(vinyl chloride)-PVC additivated with orange essential oil – OEO. These films were evaluated with FT-IR spectroscopy; mechanical tests; migration OEO in simulants; and determination of stability after sterilization by gamma radiation at a dose of 25 kGy. The OEO was assessed with GC-MS and analysis of antimicrobial activity. The films were prepared by the casting solution technique. The essential oil concentrations in PVC were 2%, 10% and 30% (w/w). The results showed that the OEO was incorporated into the polymer matrix and that this oil had antimicrobial activity against the bacteria E. coli and S. aureus. The migration of OEO in the films occurred with all simulants. The incorporation of OEO in the films also made them more flexible. It was also found that additive with 30% w/w OEO provides a protective effect for the polymer after sterilization by gamma radiation.