Miracle-dz/UniFAR-FTUs huggingface dataset:
Headline Diagnosis: Manipulation of Content Farm Headlines

As technology grows faster, the news spreads through social media. In order to attract more readers and acquire additional profit, some news agencies reproduce massive news in a more appealing manner. Therefore, it is essential to accurately predict whether a news article is from official news agencies. This work develops a headline classification based on Convoluted Neural Network to determine credibility of a news article. The model primarily focuses on investigating key factors from headlines. These factors include word segmentation, part-of-speech tags, and sentiment features. With integrating these features into the proposed classification model, the demonstrated evaluation achieves 93.99% for accuracy.
Quality Evaluation of Surface Layer in Highly Accurate Manufacturing

Stanislaw Legutko, Faculty of Mechanical Engineering and Management, Poznan University of Technology, 3 Piotrowo Street, 60-965 Poznan, Poland. stanislaw.legutko@put.poznan. pl Grzegorz Krolczyk, Faculty of Production Engineering and Logistics, Opole University of Technology, 76 Proszkowska Street, 45-758 Opole, Poland. g.krolczyk@po.opole. pl Jolanta Krolczyk, Department of Biosystems Engineering, Opole University of Technology, 76 Proszkowska Street, 45758 Opole, Poland. j.krolczyk@po.opole. pl
A NEW PERSPECTIVE ON SEMI-RETRACTIONS AND THE RAMSEY PROPERTY

We investigate the notion of a semi-retraction between two first order structures (in typically different signatures) that was introduced by the second author as a link between the Ramsey property and generalized indiscernible sequences. We further these connections between combinatorics and model theory, and look at semi-retractions through a new lens establishing transfers of the Ramsey property and finite Ramsey degrees under quite general conditions that are optimal as demonstrated by counterexamples. Finally, we compare semi-retractions to the category theoretic notion of a pre-adjunction.
Farmer's Assistant: A Machine Learning Based Application for Agricultural Solutions

Farmers face several challenges when growing crops like uncertain irrigation, poor soil quality, etc. Especially in India, a major fraction of farmers do not have the knowledge to select appropriate crops and fertilizers. Moreover, crop failure due to disease causes a significant loss to the farmers, as well as the consumers. While there have been recent developments in the automated detection of these diseases using Machine Learning techniques, the utilization of Deep Learning has not been fully explored. Additionally, such models are not easy to use because of the high-quality data used in their training, lack of computational power, and poor generalizability of the models. To this end, we create an open-source easy-to-use web application to address some of these issues which may help improve crop production. In particular, we support crop recommendation, fertilizer recommendation, plant disease prediction, and an interactive news-feed. In addition, we also use interpretability techniques in an attempt to explain the prediction made by our disease detection model.
The Galactic 3D large-scale dust distribution via Gaussian process regression on spherical coordinates

Knowing the Galactic 3D dust distribution is relevant for understanding many processes in the interstellar medium and for correct- ing many astronomical observations for dust absorption and emission. Here, we aim for a 3D reconstruction of the Galactic dust distribution with an increase in the number of meaningful resolution elements by orders of magnitude with respect to previous recon- structions, while taking advantage of the dust’s spatial correlations to inform the dust map. We use iterative grid reﬁnement to deﬁne a log-normal process in spherical coordinates. This log-normal process assumes a ﬁxed correlation structure, which was inferred in an earlier reconstruction of Galactic dust. Our map is informed through 111 Million data points, combining data of PANSTARRS, 2MASS, Gaia DR2 and ALLWISE. The log-normal process is discretized to 122 Billion degrees of freedom, a factor of 400 more than our previous map. We derive the most probable posterior map and an uncertainty estimate using natural gradient descent and the Fisher-Laplace approximation. The dust reconstruction covers a quarter of the volume of our Galaxy, with a maximum coordinate distance of 16kpc, and meaningful information can be found up to at distances of 4kpc, still improving upon our earlier map by a factor of 5 in maximal distance, of 900 in volume, and of about eighteen in angular grid resolution. Unfortunately, the maximum posterior approach chosen to make the reconstruction computational a ﬀ ordable introduces artifacts and reduces the accuracy of our uncertainty estimate. Despite of the apparent limitations of the presented 3D dust map, a good part of the reconstructed structures are conﬁrmed by independent maser observations. Thus, the map is a step towards reliable 3D Galactic cartography and already can serve for a number of tasks, if used with care.
Demonstration of the Two-Fluxonium Cross-Resonance Gate

The superconducting fluxonium qubit has a great potential for high-fidelity quantum gates with its long coherence times and strong anharmonicity at the half flux quantum sweet spot. However, current implementations of two-qubit gates compromise fluxonium's coherence properties by requiring either a temporary population of the non-computational states or tuning the magnetic flux off the sweet spot. Here we realize a fast all-microwave cross-resonance gate between two capacitively-coupled fluxoniums with the qubit dynamics well confined to the computational space. We demonstrate a direct CNOT gate in 70 ns with fidelity up to $\mathcal{F}=0.9949(6)$ despite the limitations of a sub-optimal measurement setup and device coherence. Our results project a possible pathway towards reducing the two-qubit error rate below $10^{-4}$ with present-day technologies.
Coefficient of restitution of a linear dashpot on a rigid surface

The linear dashpot model is applied to a single ball bouncing on a rigid surface. It is shown that when gravity is included the coeﬃcient of restitution depends on impact velocity, in contrast to previous work that ignored the eﬀects of gravity. This velocity dependence is most pronounced at low impact velocities and high damping. Previous work has considered the ball to be in contact with the ﬂoor when the compression is nonzero, while other analysis terminates the collision earlier, to prevent an attractive force. We compare these models and propose a hybrid between the two. The hybrid model is successful in reproducing experimental results for a cart bouncing repeatedly on a spring.
Dual Skipping Guidance for Document Retrieval with Learned Sparse Representations

This paper proposes a dual skipping guidance scheme with hybrid scoring to accelerate document retrieval that uses learned sparse representations while still delivering a good relevance. This scheme uses both lexical BM25 and learned neural term weights to bound and compose the rank score of a candidate document separately for skipping and final ranking, and maintains two top-k thresholds during inverted index traversal. This paper evaluates time efficiency and ranking relevance of the proposed scheme in searching MS MARCO TREC datasets.
A unified theory of learning

Recently machine learning using neural networks (NN) has been developed, and many new methods have been suggested. These methods are optimized for the type of input data and work very eﬀectively, but they cannot be used with any kind of input data universally. On the other hand, the human brain is universal for any kind of problem, and we will be able to construct artiﬁcial general intelligence if we can mimic the system of how the human brain works. We consider how the human brain learns things uniformly, and ﬁnd that the essence of learning is the compression of information. We suggest a toy NN model which mimics the system of the human brain, and we show that the NN can compress the input information without ad hoc treatment, only by setting the loss function properly. The loss function is expressed as the sum of the self-information to remember and the loss of the information along with the compression, and its minimum corresponds to the self-information of the original data. To evaluate the self-information to remember, we provided the concept of memory. The memory expresses the compressed information, and the learning proceeds by referring to previous memories. There are many similarities between this NN and the human brain, and this NN is a realization of the free-energy principle which is considered to be a uniﬁed theory of the human brain. This work can be applied to any kind of data analysis and cognitive science.
Experimental Studying the Nonlinearity Efiects on Adaptive Nulling

Beam forming architecture", used in conjunction with an array of sensors to provide a versatile form of spatial fllter for space-division multiple accesses (SDMA), becomes one of the enabling technologies to the 4G LTE network (1{3). This approach features multiple users within the same radio cell to be accommodated on the same frequency and time slot by using internal feedback controlling the amplitude/phase weighting of the adaptive array (4) to modify its time, frequency, and spatial response. However, realization of the beam-forming techniques poses high linearity demands on RF/IF up-/down-conversion chain because nonlinear distortion will degrade the radiation pattern, resulting in the poor signal quality (5,6). This study employs a two-element antenna array incorporated with two ampliflers for experimental studying the nonlinearity efiects on adaptive pattern nulls shift. Measured results validate the efiective proposed method for further analysis on the performance degradation of adaptive array due to multicarrier power ampliflers (MCPA) nonlinearity. 1. EXPERIMENTAL STUDY Figure 1 shows an adaptive array scheme, each antenna element has its own receiver composed of fllters, ampliflers, mixers, etc. to amplify and down-convert the received signals before the A/D converters. During the signal paths on receiver, there exist two principle nonlinearities, present in small-signal ampliflers and mixers to introduce signal's distortion at a receiver, are intermodulation products and gain compression. Of special importance are the third-order intermodulation prod- ucts since they fall within the signal passband and can not removed by flltering. Since the amount of the harmonic higher-order products is mostly contributed by power ampliflers, this study focuses on studying the power amplifler's nonlinearities efiect on nulling performance of the adaptive ar- ray. Fig. 2 displays the measured output-power(dBm)/power-gain(dB)/relative-phase against input power (dBm) of two LNAs (Mimi circuits ZEL-0812LN under bias voltage of 15Volts), showing that the gain (24dB) and relative phase is declining due to AM/AM and AM/PM conversion as input power is greater than i15dBm. When ampliflers are derived at nonlinear region, as shown in Fig. 2, at the signal's path of transceiver chains, the radiation pattern will be degraded by shifting nulls on the interference directions. It has been has been investigated numerically by using an 8-element adaptive array (7). This paper proposed a design concept for experimental study of the nonlinearity efiect on adap- tive nulling by using an EVB (evaluation board) integrated with a two-element antenna array. As shown in Fig. 3, the EVB includes a coupler (ACX 1608 multilayer coupler (8)), two LNAs (Mimi
Sustained organic loading perturbation inhibits nitrite oxidation in bioreactors unveiling variable resistance and resilience of nitrification and nitrifiers

Sustained perturbations are of interest in environmental biotechnology as they can lead systems to alternative stable states that may not be reversible. Studies assessing these concerns are scarce as robust replication is required. Here, we tested the effect of sustained organic loading variations (food-to-biomass ratio, F:M; carbon-to-nitrogen ratio, C:N) on both structure and function of activated sludge bacterial communities, focusing on nitrification and nitrifiers. Two sets of replicate 5-liter sequencing batch reactors were operated at two different, low (n = 4) and high (n = 3), F:M (0.19 and 0.36 mg COD/mg TSS/d) and C:N (3.5 and 6.3 mg COD/mg TKN) conditions for a period of 74 days, following 53 days of sludge acclimation at low F:M and C:N (henceforth referred to as F:M-C:N). The inoculum was taken from a full-scale treatment plant. Resilience was tested during the last 14 days by operating all seven reactors at low F:M-C:N. Samples were analyzed using metagenomics,
Smart Building Design: Contextual Design, Energy Efficiency, and Curtailment

Our buildings use a lot more energy than they need to. Before making investments in renewable-energy systems, it is almost always more cost-effective to design our buildings to use as little energy as possible. This can be achieved in a number of ways. Through smart building design, we can harvest daylight, cool with outside air, heat with the sun, and take advantage of other natural processes that require very little additional energy. Better insulation reduces heat losses in the winter and gains in the summer. High-performance windows enable us to enjoy views and to harvest daylighting with minimal solar gain. By improving the energy efficiency of boilers, air conditioners, and fans, we can enjoy the same comfort conditions, but with less energy. We can also reduce energy use through curtailment, or what some call conservation. With curtailment, we find a way to get by with less. Maybe we don’t really have to continually air-condition parts of the building that are rarely used. Contextual design, efficiency, and curtailment are closely related, and sometimes the lines between them become quite muddled.
Usefulness of gel immersion endoscopy to identify a colonic diverticulum with active bleeding

Management of colonic diverticular bleeding is clinically important because severe cases require transarterial embolization or surgical intervention; colonic diverticular bleeding can cause death in elderly patients with multiple comorbidities [1]. Colonoscopy enables the diagnosis and treatment of the bleeding site; however, identifying the diverticulum with active bleeding is challenging. Gel immersion endoscopy has been reported to be useful for securing the visual field during endoscopy for gastrointestinal bleeding [2, 3]. We report a case in which gel immersion endoscopy was effective in allowing the colonic diverticulum with active bleeding to be identified. An 87-year-old man taking aspirin and apixaban for ischemic heart disease presented to our hospital with massive hematochezia from that morning. On admission, his hemoglobin level was 8.0 g/ dL and he exhibited vital signs of shock. Contrast-enhanced computed tomogE-Videos
MacrophagesLaminin-211 Modulates CD163 Expression of M2-like Associated - Express Laminin-332, and Schwann Cell Laminin Isoforms in Human Dental Pulp: Lymphatic Vessels

Laminin, a basement membrane heterotrimeric glycoprotein composed of a / b / g subunits, has important tissue-specific functions in the control of cellular behavior. Our recent study showed the colocalization of CD163 + M2-like macrophages with Schwann cells in human dental pulp, leading us to hypothesize that the laminin isoform of Schwann cells is associated with CD163 expression. The present study investigated the distribution of laminin isoforms in human dental pulp and the underlying mechanisms that affect macrophage phenotypes. Immunofluorescence analysis indicated that blood vessels were exclusively positive for laminin a 4 and a 5, whereas laminin a 2 was associated with Schwann cells. Unexpectedly, laminin a 3/laminin-332 ( a 3 b 3 g 2) was detected on lymphatic vessels. In intact and carious teeth, CD163 + cells were associated with laminin a 2, whereas CD206 single-positive cells were present inside, outside, and along blood vessels. In vitro incubation of THP-1 macrophages in plates coated with laminin-211/511 or its functionally analogous E8 fragments of a -chain (E8- a ) indicated that cell shapes differed between macrophages grown on laminin-211/E8- a 2 and macrophages grown on laminin-511/E8- a 5. Laminin-211/E8- a 2 – coated plates upregulated CD163 expression, compared with laminin-511/E8- a 5 – coated plates. Integrin a 3 – and integrin a 6 – neutralizing Abs altered the shape of THP-1 macrophages and upregulated mRNA levels of CD206 and CD163 in macrophages grown on laminin-511; the neutralizing Abs did not affect macrophages grown on laminin-211. These findings suggest that laminin isoforms differentially regulate macrophage behavior via distinct integrin – laminin affinities. Of note, laminin-332 is expressed by pulpal lymphatic vessels, the existence of which has been debated; laminin-211 might have a role in maintaining CD163 expression on macrophages. ImmunoHorizons , 2021, 5: 1008 – 1020.
Stylette: Styling the Web with Natural Language

End-users can potentially style and customize websites by editing them through in-browser developer tools. Unfortunately, end-users lack the knowledge needed to translate high-level styling goals into low-level code edits. We present Stylette, a browser extension that enables users to change the style of websites by expressing goals in natural language. By interpreting the user’s goal with a large language model and extracting suggestions from our dataset of 1.7 million web components, Stylette generates a palette of CSS properties and values that the user can apply to reach their goal. A comparative study (N=40) showed that Stylette lowered the learning curve, helping participants perform styling changes 35% faster than those using developer tools. By presenting various alternatives for a single goal, the tool helped participants familiarize themselves with CSS through experimentation. Beyond CSS, our work can be expanded to help novices quickly grasp complex software or programming languages.
Extended Continuous Cooling Transformation (CCT) Diagrams Determination for Additive Manufacturing Deposited Steels

Continuous cooling transformation (CCT) diagrams are widely used when heat treating steels and represent which type of phase will occur in a material as it is cooled at different cooling rates. CCT diagrams are constructed on the basis of dilatometry measurements on relatively small testing samples (cylindrical shape with diameter of 4mm and length of 11 mm in this study). The main aim of this work was to demonstrate the possibility of evaluating the tensile test properties using mini-tensile tests from miniature volumes (1.4 × 10−7 m3 for one sample) subsequent to determination of the CCT diagram and to extend a standard CCT diagram with information about strength, ductility and the estimated value of the work-hardening coefficient. Mini-tensile tests (MTT) were recently developed due to the low availability of experimental material and have already been successfully used for local mechanical property characterization of metals. CCT diagrams were constructed for 42CrMo4 steel prepared by the laser-directed energy deposition (L-DED) process, for commercially available 42CrMo4 steel conventionally manufactured (for comparison of traditional processing and AM preparation) and for H13 tool steel deposited by the selective laser melting (SLM) process.
The safe administration of medication within the electromagnetic scenarios of the Internet of Things (IoT): looking towards the future

This paper has focused on analyzing the impact of Information and Communication Technologies (ICTs) to prevent or reduce errors during therapeutic drug administration. The methodology used has included scientific literature and marketed appliances reviews and laboratory tests on radiant devices. The role of the patient has been analyzed, both in terms of compliance with the prescribed treatments and user of technical solutions designed for administering medication. In addition, it has taken into account, how a future characterized by multiple technologies designed to support our daily routines, including health care, might affect the current model of relationship between health professionals and patients. Particular attention has been given to safety risks of ICTs in environments characterized by concurrent electromagnetic emissions operating at different frequencies. Implications and new scenarios from Internet of Things or IoT, have been considered, in light of the approach taken jointly by the European Commission and the European Technology Platform on Intelligent Systems Integration – EPoSS, in their 2008 report Internet of Things in 2020: a roadmap for the future, and how the concept has evolved since then. The safe administration of medication within the electromagnetic scenarios of the Internet of Things (IoT): looking towards the future |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Effects of Goal versus Target Orientation on Information Quality and Quantity in Military Reconnaissance Operations

In reconnaissance operations, military observers are tasked to notice objects, people and events in their environment that may be relevant for their commander’s goals and objectives. Which ‘elements of information’ are noticed is influenced by how the operation assignment is presented (cf. the principle of priming). A distinction here is made between assignments that broadly outline the commander’s intent (‘goal orientation’) or that narrowly point to only one or two categories of information elements (‘target orientation’). In a virtual environment, eighteen male military participants carried out and reported on a reconnaissance operation, after being briefed with either goal-oriented or target-oriented assignments. Results show that a goal-oriented assignment leads to more information elements as well as more diverse elements being reported, albeit at a lower level of detail than a target-oriented assignment. Reconnaissance commanders should therefore choose carefully how they present their information gathering assignments.
Permodellan Online Customer Review di Tinjau dari Relationship Market-ing, Brand Image, dan Brand Trust

Tujuan di lakukannya penelitian ini adalah untuk mengetahui pengaruh relationship marketing, brand image dan brand trust terhadap online customer reviews produk H&M. Menngunakan Structural Equational Modelling (SEM) dengan sofrware Smart PLS 3.29. Hasil Menunjukkan bahwasanya Brand Image berpengaruh postifif dan significant dan relationship marketing dan brand trust tidak mempengaruhi online customer review.