Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast computing for dynamic screening systems when analyzing correlated data

ABSTRACT In practice, we often need to identify individuals whose longitudinal behaviour is different from the behaviour of those well-functioning individuals, so that some unpleasant consequences (e.g. stroke) can be avoided or early detected. To handle such applications, a new statistical method, called dynamic screening system, has been developed in the literature. A recent version of this method can analyze correlated data. However, the computation involved is intensive. In this paper, we suggest a fast computing algorithm for the dynamic screening system. The algorithm can improve the effectiveness of the conventional dynamic screening system in certain cases. Numerical results show that the new algorithm works well in different cases.
Weakly nonlinear interfacial waves in a duct of arbitrary cross section

We study two kinds of weakly nonlinear waves which can occur in ducts of any cross section containing two layered fluids. In part 1 we consider internal waves of permanent form and small amplitude which can travel in horizontal or slightly inclined cylindrical ducts containing two layered co-flowing or counter-flowing fluids. In the frame of quasi-one dimensional theory with conventional shear stresses on the wall and at the interface, a linear temporal stability analysis predicting stratified/non-stratified transitional boundaries is performed. Weakly nonlinear roll-waves in which periodic waves are constructed by joining together piecewise continuous solutions through hydraulic jumps are then presented. The investigation requires the analysis of internal jumps. This problem is considered in the case of any cross section and, from energy loss consideration in every stream, criteria for internal shocks are derived. In part 2, starting from exact, frictionless equations, a perturbation method is used in order to show that weakly nonlinear, long gravity waves of cnoidal type can exist at the interface of two layered fluids flowing in a horizontal duct.
Adaptive neural control of MIMO uncertain nonlinear systems with unmodeled dynamics and output constraint

In this paper, an adaptive dynamic surface control (DSC) method is investigated for a class of multiple‐input–multiple‐output block‐structure uncertain nonlinear systems with unmodeled dynamics and output constraint. Modified DSC is used to construct the vector virtual control and control strategy in recursive each step. A dynamic signal is used to handle unmodeled dynamics in the system. Radial basis function neural networks are used to estimate the unknown continuous black‐box functions. By introducing the symmetric barrier Lyapunov functions, the constraint requirement of each element in the output is guaranteed in the designed adaptive control system. Using the defined compact set in the theoretical analysis and the proof characteristics of DSC, the introduced input uncertain term is effectively deal with in the controller design. The stability analysis shows that all the signals in the closed‐loop control system are semiglobally uniformly ultimately bounded. A numerical simulation example with the two‐link flexible robotic system is provided to verify the effectiveness of the constructed control scheme.
A tiny gas-sensor system based on 1D photonic crystal

We present a gas monitoring system for detecting the gas concentration in ambient air. This sensor is based on a 1D photonic crystal formed by alternating layers of magnesium fluoride (MgF2) and silicon (Si) with an empty layer in the middle. The lamellar cavity (defect layer) will be filled with polluted air that has a refractive index close to that of pure air, varying between n0 = 1.00 to n0 = 1.01. The transmission spectrum of this sensor is calculated by the Green function approach. The numerical results show that the transmission peak, which appears in the gap, is caused by the infiltration of impure air into the empty middle layer. This transmission peak can be used for detection purposes in real-time environmental monitoring. The peak frequency is sensitive to the air-gas mixture, and a variation in the refractive index as small as Δn = 10−5 can be detected. A sensitivity, Δλ/Δn, of 700 nm per refractive index unit (RIU) is achieved with this sensor.
Extraction of Copper from the Malachite of Madagascar by Biological Leaching using Pseudomonas aeruginosa PA1 strain

: In an effort to minimize the environmental impacts caused by metal extraction, this study demonstrates the extraction of copper from the malachite using biological leaching as extraction technique and Pseudomonas aeruginosa as biological extraction agent. The content of copper and other minerals in the malachite was evaluated by X-ray fluorescence method. In addition, the copper content of the malachite particles with different sizes was determined by atomic absorption spectrophotometry. Four parameters were optimized to control the bioleaching process : malachite particle size, glucose rate, culture medium volume, and bioleaching time. Copper content was analyzed by atomic absorption spectrophotometry during the optimization. The results showed that the copper content in the malachite sample was about 5.74%. Other high-grade minerals such as Fe, Ca, Ba and S were also detected. On the other hand, the copper content in the different malachite particles varied from 5.08% to 6.83%. Regarding the bioleaching of copper from the malachite with Pseudomonas aeruginosa strain (106 cfu/ml), it was optimal with malachite particle size of 45-80µm, glucose rate of 8% and culture medium volume of 120ml for 4 days. Under these optimal conditions, Pseudomonas aeruginosa was able to extract 45.7% of copper during 20 days of experimentation.
Pushing the Boundaries of Combinatorial Graph Isomorphism Algorithms

—A computational problem well studied in the ﬁeld of Complexity Theory is Graph Isomorphism. Color Reﬁne-ment is a classical technique for testing the non-existence of isomorphism between two given graphs. Tinhofer’s algorithm is an extension of the Color Reﬁnement algorithm and the same technique does not succeed for all graphs. We characterize Tinhofer graphs algebraically. We propose and study in detail, a new graph hierarchy based on Tinhofer’s algorithm which also prove for all the new graph classes in the hierarchy a sufﬁcient condition. We look at the relations of the new graph classes with each other and also with the already known classes. We also facilitate an effective graph isomorphism algorithm for the lower classes in the hierarchy. Getting an algebraic characterization for the new hierarchy classes, understanding the exact location of other graphs in this hierarchy and extending the efﬁcient algorithm for higher graph classes are identiﬁed as potential areas of future interest.
Design and Development of a Quadcopter

— A quadcopter with a claw mechanism can grip and manipulate items. The claw mechanism underwent different iteration i.e., shell type grippers and teeth type grippers in which the teeth type grippers were finalized because of its enhanced grip strength and versatile grasping capability. This abstract summarizes the paper. The quadcopter's frame holds motors, propellers, flight controller, and batteries. The quadcopter's claw mechanism is an actuated grasping system that can hold various things. Development has numerous stages. First, SolidWorks software designs the quadcopter and claw mechanism. The design seeks a lightweight yet strong framework that can endure flight and object manipulation pressures. Next, the flight controller, motors, and claw mechanism servo motors are chosen and integrated. Flight controllers stabilize and control quadcopters. Software development follows hardware integration. Algorithms provide steady flying, altitude control, and maneuverability. Software controls provide accurate claw mechanism grabbing. The quadcopter's safety, stability, and performance are tested during development. Claw strength, dependability, and adaptability are assessed. This paper shows that a quadcopter is produced with a claw mechanism that can retrieve, deliver, and manipulate objects. The design may be used in search and rescue, infrastructure inspection and maintenance, and logistics. Finally, a quadcopter with a claw mechanism can manipulate objects in the air. An adaptable, dependable airborne platform with environmental interaction is created by integrating mechanical, electrical, and software components.
Design Strategies for Underwater Adhesion of Biomimetic Hydrogels

【 Abstract 】 The physical properties of hydrogels are similar to those of biological tissues, with excellent biocompatibility. And the research in the field of medicine is becoming more and more in-depth. At the same time, higher requirements are also put forward for the performance of hydrogels. Achieving hydrogel bonding in a watery environment is challenging, but at the same time has great promise. The natural world often brings many inspirations to human production and scientific research. In nature, there are many organisms that, to resist the effects of the complex environment, usually adhere to the surface of the medium to ensure their safety and survival, thanks to the special secretion chemical composition and/or microstructure of the biological surface that achieves adhesion. To better understand the mechanism of action of underwater adhesive materials, this paper briefly summarizes the design strategies of underwater adhesives inspired by nature in recent years. This article discusses the adhesion mechanisms of animals, including mussels, barnacles, sandcastle worms, slugs, tree frogs, octopuses, and plants such as ivy and reptile tigers, as well as biomimetic strategies inspired by them. Finally, the shortcomings and future development trends of biomimetic underwater adhesion are also prospected. 【
Impact of Liver Cirrhosis on the Occurrence of Diabetes Mellitus and Glucose Intolerance among Liver Cirrhosis Patients in European Gaza Hospital: A Retroactive Study

Background: Third of liver cirrhosis patients have diabetes mellitus. In addition, most of patients with cirrhosis may be glucose intolerant. This study aimed to shed light on the impact of liver cirrhosis on the occurrence of diabetes mellitus among liver cirrhosis patients. Materials and Methods: This study is a retrospective analytical study design. The study was a descriptive study. The study was conducted at the gastroenterology outpatient clinic in European Gaza Hospital. Data were collected retrospectively from patients records and from patients themselves when attending at the clinic. The study was conducted during the period from September 2022 to February 2023. The study tool is a self-designed questionnaire based on most recent published literature. The questionnaire included basic information about the patients, data related to liver cirrhosis and some laboratory work done for the patients. Results: A total of 70 patients were included in the study, with more than half being male (60%). The mean age of participants was 61.97 ± 11.54 years. The most frequent cause of liver cirrhosis among participants was cryptogenic (54.3%), and two-thirds of the participants had comorbid conditions besides liver cirrhosis, with diabetes mellitus being the most frequent (54.3%). The majority of participants were overweight or obese, with a mean body mass index of 31.15 kg/m2. Ultrasound imaging showed that most participants had severe steatosis (88.6%) and a shrunken liver (72.9%). The laboratory findings showed raised mean alanine transaminase (ALT) and aspartate aminotransferase (AST) levels, with high levels of triglycerides and cholesterol. Conclusion: Most participants were overweight or obese. More than half of the participants had comorbidities, including diabetes mellitus, and cryptogenic liver cirrhosis was the most prevalent etiology. Most liver ultrasounds indicated significant steatosis. Participants had increased alanine transaminase, aspartate aminotransferase, triglycerides, and total bilirubin.
Depth and width reproducibility of integral photography from multi-view stereoscopic image

Multi-view stereoscopic images were produced via the pick-up method with respect to the object set in the computer, and integral photography was generated from this multi-view stereoscopic image. When the multiview stereoscopic image was taken by pick-up, the optical axis of each camera of the array was aligned with one point in the front of the camera array. A calculation method was derived with respect to the depth position and width of the object displayed by integral photography generated using this method. Based on the derived calculation method, consideration was given to the distortion displayed and reproduced with respect to the depth position and width of the object in the prototyped integral photography.
Deep Network Ensembles for Aerial Scene Classification

It is well known in the machine learning community that the ensembles of neural networks outperform the respective individual networks; hence recent work on aerial scene classification has been trending toward various network fusion strategies. However, training multiple deep networks can be computationally expensive. “Snapshot ensembling” has recently appeared as an alternative and claims to provide the performance of network ensembles at the cost of a single network’s training. In this letter, we present the results of a comparative study on deep network ensembles in the context of aerial scene classification, where homogeneous, heterogeneous, and snapshot ensembling strategies are explored with both DenseNet and Inception networks; contrary to the existing work, we employ model fusion at the last convolutional layer’s level. The explored approaches are validated with the two largest and most challenging data sets available (AID and NWPU-RESISC45), and state-of-the-art results are achieved on both.
Some stability results on non-linear singular differential systems with random impulsive moments

This paper studies the exponential stability for random impulsive non-linear singular differential systems. We established some new sufficient conditions for the proposed singular differential system by using the Lyapunov function method with random impulsive time points. Further, to validate the theoretical results' effectiveness, we finally gave two numerical examples that study with graphical illustration and an additional example involving matrices with complex entries, proving the results to be true in that case as well.
Provision of Outdoor Nature-Based Activity for Older People with Cognitive Impairment: A Scoping Review from the ENLIVEN Project

The health and well-being benefits of outdoor nature-based activity are increasingly recognised, but older people with cognitive impairment face significant barriers to access. The ENLIVEN project aims to promote access by gathering evidence and coproducing guidance for activity providers. As part of this project, we conducted a scoping review to characterise the types of outdoor nature-based activity for older people with dementia and other forms of cognitive impairment for which research evidence is available and the range of outcomes is examined. The protocol is available online. We systematically searched relevant databases from 1st January, 2009, to 20th October, 2022, and screened articles against the following criteria: participants were older people aged 65 and above with cognitive impairment arising from dementia or another health condition. The study described the formal provision of outdoor nature-based activity away from the person’s usual place of residence, and at least one outcome of participation in the activity was evaluated. Twenty-eight articles met inclusion criteria, all focused on people with dementia. In most cases, participants were attending day care or living in residential care, and sample sizes ranged from 4 to 136. Activities fell into three groups: green day care (fifteen articles), equine-assisted interventions (seven articles), and community nature-based activities (six articles). Outcome domains explored were connection with nature, activity engagement, impacts on clinical symptoms, functional ability, physical, psychological and social health,, and quality of life. Outdoor nature-based activity can be offered as an opportunity for meaningful occupation to enrich daily life, as a framework for day care provision, or as an intervention to address clinical needs. The evidence base for green day care is relatively established, but the potential for addressing specific clinical needs remains to be explored. The paucity of evidence regarding community provision, especially for those not attending formal care settings, suggests the need for effective knowledge exchange to stimulate initiatives in this area.
Viabilidade e confirmação taxonômica deculturas de Trichophyton tonsurans (Malmsten) preservadas sob óleo mineral

Os fungos são organismos heterotróficos, eucariotos e cosmopolitas, pois estão presentes em qualquer parte do planeta. Sendo amplamente distribuídos na natureza, são encontrados na água, no ar atmosférico, solo, vegetais e no ser humano, podendo causar doenças. Os dermatófitos são fungos que colonizam o tecido queratinizado da pele, pelo e unhas do ser humano e de outros animais. Trichophyton tonsurans é um dermatófito antropofílico e pode causar principalmente tinea capitis. Inúmeras técnicas de manutenção são utilizados para fungos e a mais adequada é aquela que mantiver por longos períodos as características originais da cultura, como viabilidade, esporulação e patogenicidade. Com o objetivo de averiguar a viabilidade e confirmar a taxonomia das colônias do fungo Trichophyton tonsurans, foram analisadas 69 isolados, sendo todos da Micoteca URM – UFPE, estocados sob óleo mineral. Fragmentos das culturas foram reativados em caldo glicosado, mantidos à temperatura de 28°C ± 2°C, por até 12 dias. Do total de 69 amostras analisadas, 42 (60,87%) se encontram viáveis após o tempo de estocagem de 1955-2008. As colônias que apresentaram crescimento em caldo glicosado foram transferidas para o meio Agar Saboraud, permanecendo por 08 dias, à temperatura ambiente (TA). Após o crescimento, todas as colônias semeadas em ágar Saboraud foram submetidas à técnica de cultura em lâmina para facilitar o processo de confirmação taxonômica. Quarenta e duas amostras tiveram a taxonomia confirmada, totalizando uma porcentagem de 100%. Dessa forma, constatou-se que o método de preservação em óleo mineral é recomendado para T. tonsurans após longos períodos de estocagem.
Cross-media Retrieval via Fusing Multi-modality and Multi-grained Data

Traditional cross-media retrieval methods mainly focus on coarse-grained data that reflect global characteristics, while ignoring the fine-grained descriptions of local details. Meanwhile, traditional methods cannot accurately describe the correlations between the anchor and the irrelevant data. To solve the problems mentioned above, this paper proposes to fuse coarse-grained and fine-grained features and a multi-margin triplet loss on the basis of a dual-framework. 1) Framework I: a multi-grained data fusion framework based on Deep Belief Network, and 2) Framework II: a multi-modality data fusion framework based on the multi-margin triplet loss function. In Framework I, the coarse-grained and fine-grained features fused by the joint Restricted Boltzmann Machine are input into FrameworkII.InFrameworkII,weinnovativelyproposethemulti-margintripletloss.Thedata,whichbelongtodifferentmodalitiesandsemanticcategories,aresteppedawayfromtheanchorinamulti-margin way. Experimental results show that the proposed method achieves better cross-media retrieval performance than other methods with different datasets. Furthermore, the ablation experiments verify that our proposed multi-grained fusion strategy and the multi-margin triplet loss function are effective.
An Analysis of Code-Mixing Found In Boy William’s “Nebeng Boy”

This research aims to find out the code choices chosen by the participants of YouTube content “Nebeng Boy” and the reasons why the participants choose the different codes. This research was a case study of sociolinguistics which employed a descriptive qualitative method. Nebeng Boy is one of the most popular YouTube content created by Indonesian YouTuber and an ex-Video Jockey from MTV, Boy William. The participants in this YouTube content are divided into two; the Host and the Guests. In collecting the data, the researcher has done a few techniques namely taking notes from observing the conversation, transcribing the dialogues between participants, and classifying the data. The researcher used total sampling technique and took the whole part of dialogue from six videos of “Nebeng Boy”. The results of this research show that the code choices employed by the participants of Nebeng Boy are informal variety from Bahasa Indonesia and English which resembles of high social class or high social status. Each participant has different way in using the codes and also has different reason behind it. The Host of the program uses informal code choices to show solidarity, express emotions, show intimacy, changing topics, and including another person to the conversation. Meanwhile, the factors that the guests use the code choices are the background of the person, the profession, function of the conversation, topics, the situation of conversation, and to include another person.
Grease material properties from first principles thermodynamics

Thermodynamics has historically been used to derive characteristic material properties. In this study, fundamental thermodynamics is applied to grease. First‐principle formulations of existing material properties—heat capacity and storage modulus—and new properties—thermal strain and stress coefficients, chemical resistance and thermo‐chemical decay coefficient—are derived, some of which are experimentally determined. A new group of Maxwell relations is introduced by replacing the classical compression work PdV with the grease shearing work Vτdγ . The physical interpretations and implications of these properties on grease behaviour and performance are presented. Experimental measurements of the derived properties are performed in accordance with the theoretical formulations. Six different grease types are studied. Obtained results are shown to conform with anticipated, observed and established grease behaviours. The proposed properties can be used in grease performance and degradation analyses, as well as grease selection for lubrication applications.
Randomly Weighted Series of Contractions in Hilbert Spaces.

Conditions are given for the convergence of randomly weighted series of contractions in Hilbert spaces. It is shown that under these conditions the series converges in operator norm outside of a (universal) null set simultaneously for all Hilbert spaces and all contractions of them. The conditions obtained are moreover shown to be as optimal as possible. The method of proof relies upon the spectral lemma for Hilbert space contractions (which allows us to imbed the initial problem into a setting of Fourier analysis), the standard Gaussian randomization (which allows us further to transfer the problem into the theory of Gaussian processes), and finally an inequality due to Fernique [3] (which gives an estimate of the expectation of the supremum of the Gaussian (stationary) process over a finite interval in terms of the spectral measure associated with the process by means of the Bochner theorem). As a consequence of the main result we obtain: Given a sequence of independent and identically distributed mean zero random variables fZkgk 1 defined on ( ;F ; P ) satisfying EjZ1j2 1=2 , there exists a (universal) P -null set N 2 F such that the series: 1 X