Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceptions of Portuguese psychologists about behavioural inhibition/social withdrawal and their related intervention needs during early childhood

Given the high prevalence of anxiety disorders, there has been an increasing need to intervene on the early risk factors for their development, namely behavioral inhibition and social withdrawal (BI/SW) during early childhood. However, the participation rates in preventive evidence-based interventions targeted at BI/SW have been modest, due to the gaps in parents’ and key gatekeepers’ (teachers and pediatricians) problem recognition. Given their pivotal role in enhancing problem recognition, this study aimed to explore the perceptions of Portuguese psychologists about BI/SW and their related intervention needs. Eighteen psychologists were distributed into three focus groups. Each focus group was moderated by a trained researcher, using a semi-structured interview guide. The thematic analysis revealed that Portuguese psychologists identified the manifestations and consequences of BI/SW, particularly in the social domain. Portuguese psychologists recommended the development of multi-component family interventions and interventions targeted at preschool teachers to promote social skills in the classroom.
Too wet for frogs: Changes in a tropical leaf litter frog community coincide with La Nina By:

Extreme climatic events such as the El Niño Southern Oscillation profoundly affect many plants and animals, including amphibians, which are strongly negatively affected by drought conditions. How amphibians respond to exceptionally high precipitation as observed in La Niña events, however, remains unclear. We document the correlation between the exceedingly wet 2010–2012 La Niña and community‐level changes in a leaf litter frog assemblage in Costa Rica. Relative abundances of species shifted, diversity and plot occupancy decreased, and community composition became homogenized with the onset of La Niña. These aspects remained altered for over 20 months but rebounded to pre‐La Niña levels after approximately 12 months. We hypothesize that complex ecological cascades associated with excess moisture caused short‐term declines in abundances of species and associated changes in community structure. If additional stressors such as disease or habitat loss are not co‐occurring, frog communities can rapidly recover to pre‐disturbance levels following severe climatic events.
Within-host evolutionary dynamics of antimicrobial quantitative resistance

10 Antimicrobial efficacy is traditionally described by a single value, the minimal inhibitory concentration (MIC), which is the lowest concentration that prevents visible growth of the bacterial population. As a consequence, bacteria are classically qualitatively categorized as resistant if therapeutic concentrations are below MIC and susceptible otherwise. However, there is a continuity in the space of the bacterial resistance levels. Here, we introduce a model of within-host evolution
Generating REST APIs for Workﬂow Engines with Process and Data Models

Workﬂow engines for automated execution of process models are typically run as back end systems and provide APIs for connecting software components. These connecting components reside on a diﬀer-ent level of abstraction, using business-instead of process-speciﬁc concepts. To ﬁnd a remedy, workﬂow engine APIs are frequently mapped to business-speciﬁc APIs speciﬁcally developed for this purpose. Modelling a business-speciﬁc interface for a workﬂow engine is a time consuming task. Inorder to reduce development eﬀort, this paper proposes a method to automatically generate domain-speciﬁc REST APIs based on both, process models and complementing resource information with only small extra modelling eﬀort, thereby bridging the gap between process and data perspective. We furthermore present an architecture that can be used to implement the proposed method for any workﬂow engine which provides a REST API. The method promotes the continuous maintenance of process and resource information models. We introduce an initial prototype for the Camunda workﬂow engine, discuss limitations of the method and give an outlook for future work.
Toward a Unified Framework for Point Set Registration

Point set registration plays a critical role in robotics and computer vision. Early methods considered registration as a purely geometric problem, presenting excellent extensibility for various tasks due to their explicit handling of correspondences; statistical methods were later introduced to handle noise. However, the two categories of algorithms have evolved independently without sharing much in common. In this paper, we leverage the concept of information geometry to theoretically unify the two classes together by interpreting them as the same operation but in different spaces associated with respective metrics. Moreover, based on the proposed unification, we also develop a novel bandwidth estimation strategy to solve the long-standing problem of statistical registration algorithms, and demonstrate its theoretical and practical advantages over deterministic annealing, the most commonly used technique. We also present a case study to show how geometric and statistical approaches can benefit from each other.
A RANDOM DISPERSION SCHRÖDINGER EQUATION WITH NONLINEAR TIME-DEPENDENT LOSS/GAIN

In this paper, the limit behavior of solution for the Schrödinger equation with random dispersion and time-dependent nonlinear loss/gain: idu+ 1 ε m( t ε2 )∂xxudt+|u|udt+iεa(t)|u|0udt = 0 is studied. Combining stochastic Strichartz-type estimates with L norm estimates, we first derive the global existence for L and H solution of the stochastic Schrödinger equation with white noise dispersion and time-dependent loss/gain: idu + ∆u ◦ dβ + |u|2σudt + ia(t)|u|2σ0udt = 0. Secondly, we prove rigorously the global diffusion-approximation limit of the solution for the former as ε → 0 in one-dimensional L subcritical and critical cases.
A study on using edge computing in block chain based secure storage management for IoT

By the advancements in the technologies like block chaining, edge computing and IoT has opened chances to combine all these together for a better world. When these technologies stand alone it can exhibit certain disadvantages. When edge computing combines with block chaining , it can facilitate mobile devices in offloading their mining tasks to cloud resources. According to the studies once they are integrated it ensures reliable access and distributed computation. But care should be taken for the security, scalability and resource management , so that the integration can be successfully made.This paper includes the study how they can be integrated to achieve the success.
Real-time Fault Detection in Semiconductor Manufacturing Process : Research with Jade Solution Company

Process control is crucial in many industries, especially in semiconductor manufacturing. In such largevolume multistage manufacturing systems, a product has to go through a very large number of processing steps with reentrant) before being completed. This manufacturing system has many machines of different types for processing a high mix of products. Each process step has specific quality standards and most of them have nonlinear dynamics due to physical and/or chemical reactions. Moreover, many of the processing steps suffer from drift or disturbance. To assure high stability and yield, on-line quality monitoring of the wafers is required. In this paper we develop a real-time fault detection system on semiconductor manufacturing process. Proposed system is superior to other incremental fault detection system and shows similar performance compared to batch way.
Fact-checking, False Narratives, and Argumentation Schemes

False narratives, with their frequent omission of crucial argument components and their reliance on cherry-picking accurate but mis-leading facts, pose significant challenges to NLP tools that aim to automated parts of the human intelligence task of fact-checking. Fortunately, these forms of enthymemes can be overcome using methods from argumentation theory, which has refined over several decades a repertoire of argumentation scheme that can help us reason and model these forms of weaponized disinformation. In this position paper we argue for a new approach to computational fact-checking based on normative patterns of argumentation.
Action Time-Effect and Mechanism of Low-Calcium Fly Ash in Cement-Based Composites

This study was conducted in order to investigate when low-calcium fly ash plays a physical or chemical effect and what is the chemical effect proportion of low-calcium fly ash. Two types of low-calcium fly ash and quartz powder, with similar fineness as active and inert admixtures, were used as materials in this study. Under different water/binder ratios and hydration ages, the effects of the different types of admixtures and their dosages on the flexural and compressive strength of the composites were studied. X-ray diffraction (XRD), scanning electron microscopy (SEM) and nitrogen adsorption methods, in addition to an assessment of the degree of hydration of the fly ash, were employed to observe the hydration products at different ages, the microstructures of the hydration products, as well as their surface areas and pore size distributions. The results show that during the hydration period of 28 days, the low-calcium fly ash has a micro-aggregate filling physical effect. However, after 56 days, the hydration degree of fly ash begins to exceed 1%. This illustrates that the low-calcium fly ash has both the pozzolanic activity effect and micro-aggregate filling effect. In contrast, the low-calcium fly ash hydrated for 90 days is still dominated by the physical filling effect.
Structural Analysis of a Genetically Encoded FRET Biosensor by SAXS and MD Simulations

Inspired by the modular architecture of natural signaling proteins, ligand binding proteins are equipped with two fluorescent proteins (FPs) in order to obtain Förster resonance energy transfer (FRET)-based biosensors. Here, we investigated a glucose sensor where the donor and acceptor FPs were attached to a glucose binding protein using a variety of different linker sequences. For three resulting sensor constructs the corresponding glucose induced conformational changes were measured by small angle X-ray scattering (SAXS) and compared to recently published single molecule FRET results (Höfig et al., ACS Sensors, 2018). For one construct which exhibits a high change in energy transfer and a large change of the radius of gyration upon ligand binding, we performed coarse-grained molecular dynamics simulations for the ligand-free and the ligand-bound state. Our analysis indicates that a carefully designed attachment of the donor FP is crucial for the proper transfer of the glucose induced conformational change of the glucose binding protein into a well pronounced FRET signal change as measured in this sensor construct. Since the other FP (acceptor) does not experience such a glucose induced alteration, it becomes apparent that only one of the FPs needs to have a well-adjusted attachment to the glucose binding protein.
Hierarchical models of network traffic

The spread of malware is constantly growing, and along with the transformation of the world into digital form, this problem is an increasingly essential and discussed topic. There are various ways to detect it: analyzing a suspicious file, analyzing processes and activities inside the computer, or analyzing network communication. This work aims to compare completely different approaches to the classification of network communication of malware. The research is about the three approaches: the use of computer vision methods, examining network communication as a time series, and focusing on the hierarchical structure of communication. The hierarchical approach in this research gives the best results, as it allows to build a computational graph reflecting the structure of the problem.
Open Journal of Parkinson's Disease and Treatment

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by neuronal cell death in the specifi c brain region like basal ganglia, cerebral cortex and hippocampus. Symptoms associated with PD patients are rigidity, akathesia, tremor, postural imbalance, cognitive and memory dysfunctions. Pathological hallmarks are dopaminergic neuronal degeneration, neuro-infl ammation, oxidative stress, free radical generation. In the typical Parkinson’s disease model, 6-Hydroxydopamine (6-OHDA) is delivered unilaterally by stereotactic injection into the SNc (substantia nigra pars-compacta) or the striatum mimics the PD symptoms. In addition, it has been shown that 6-OHDA is toxic to complex I & IV of the mitochondrial respiratory chain, leading to subsequent respiratory inhibition and further processed ATP depletion, oxidative stress and neuro-infl ammation. Forskolin (FSK), a diterpene natural plant phytochemical obtained from (Coleus Forskohli), a potent direct activator of adenyl cyclase (AC) enzyme which further activates cAMP/PKA/CREB pathway. FSK mediated activation of AC/cAMP/PKA/ CREB pathway is responsible for various neuroprotective mechanisms Based on important and versatile role of FSK, the present study has been designed to investigate the role of cAMP mediated CREB activation in 6-hydroxydopamine induced mitochondrial associated neurotoxicity in rats. Further the studies are extended to understand the disease pathogenesis and to investigate and discuss the various possible central mechanisms involved in the effect of such targets using behavioral paradigm and biochemical markers of neurodegeneration. Review Article Restoration of Mitochondrial Dysfunction in 6-Hydroxydopamine Induced Parkinson’s disease: a Complete Review Sidharth Mehan*, Gurpreet Kaur, Rajesh Dudi, Manju Rajput and Sanjeev Kalra Department of Pharamcology, Rajendra Institute of Technology & Sciences, Sirsa-125055, Haryana, India Dates: Received: 14 March, 2017; Accepted: 18 April, 2017; Published: 26 April, 2017 *Corresponding author: Sidharth Mehan, Ph.D, M.Pharm, DNHE, CFN, CNCC, Associate Professor, Department of Pharmacology, Rajendra Institute of Technology & Sciences, Sirsa-125055, Haryana, India, Tel No: +91-8059889909, +91-9461322911; E-Mail:
3D weaving with curved ribbons

Basket weaving is a traditional craft for creating curved surfaces as an interwoven array of thin, flexible, and initially straight ribbons. The three-dimensional shape of a woven structure emerges through a complex interplay of the elastic bending behavior of the ribbons and the contact forces at their crossings. Curvature can be injected by carefully placing topological singularities in the otherwise regular weaving pattern. However, shape control through topology is highly non-trivial and inherently discrete, which severely limits the range of attainable woven geometries. Here, we demonstrate how to construct arbitrary smooth free-form surface geometries by weaving carefully optimized curved ribbons. We present an optimization-based approach to solving the inverse design problem for such woven structures. Our algorithm computes the ribbons' planar geometry such that their interwoven assembly closely approximates a given target design surface in equilibrium. We systematically validate our approach through a series of physical prototypes to show a broad range of new woven geometries that is not achievable by existing methods. We anticipate our computational approach to significantly enhance the capabilities for the design of new woven structures. Facilitated by modern digital fabrication technology, we see potential applications in material science, bio- and mechanical engineering, art, design, and architecture.
In-Situ Studies on the Electrochemical Intercalation of Hexafluorophosphate Anion in Graphite with Selective Cointercalation of Solvent

Electrochemical cells utilizing graphite intercalation compounds at both electrodes have been proposed as an energy storage technology where the electrolyte salt is split and stored in the electrodes on charge and reformed on discharge. The anion intercalation compounds of graphite proposed as cathodes in these systems have been studied in electrolytes that are resistant to oxidation at 5 V but that are incompatible with graphite anodes. Recent work has demonstrated that electrolytes based on monofluoroethylene carbonate (FEC) and ethylmethyl carbonate (EMC) have superior oxidative stability on graphite cathodes over previously studied electrolytes and form a stable solid electrolyte interphase (SEI) on graphite anodes that allow for full dual-graphite cells to be evaluated for energy storage applications. There is still a limited understanding as to structure of the anion intercalate formed in these electrolyte systems and the effect of solvent cointercalation on cathode performance. This effort was unde.
Oxygen interference with membrane inlet mass spectrometry may overestimate denitrification rates calculated with the isotope pairing technique

Membrane inlet mass spectrometry (MIMS) is used to measure gas concentrations in aqueous samples, and is often employed to measure N2 in denitrification studies. While most denitrification studies using MIMS have employed the N2:Ar method, MIMS is increasingly used with the isotope pairing technique (IPT), an alternative method that calculates denitrification based on 29N2 and 30N2 concentrations, measured as mass to charge ratios (m/z) 29 and 30. Dissolved O2 is known to interfere with m/z 28 and 40 (28N2 and Ar, respectively) in the MIMS, and in this study, we show that the effect on m/z 29 and 30 is also significant. This O2 effect may result in artificially high denitrification rates with IPT if O2 varies between samples. In lab‐based experiments, m/z 29 and 30 were impacted immediately as O2 was depleted. The resulting effect on simulated denitrification rates was minor if final O2 concentrations remained above 50% initial O2, but increased by more than 100 μmol m−2 h−1 as O2 fell below 50%. Similarly, denitrification rates from sediment incubations were an order of magnitude higher when analyzed in the presence of O2, compared with analysis without O2 using an inline furnace with reduction column. We further show that this effect is variable over the life of the MIMS, and/or with different ion sources. Given these uncertainties, we recommend using an inline furnace to remove O2 for all IPT experiments. Alternatively, the magnitude of the O2 effect should be assessed often to determine the range of minimal O2 interference.
Magnetic nanoparticles for hydroxy-PAHs removal from synthetic urine

The study summarizes using a new synthesized core/shell type of nanoparticles to remove hydroxy-polycyclic aromatic hydrocarbons (PAHs). The Fe2O3 coated with compound ((3-aminopropyl) triethoxy silane) and tested for removal of hydroxy PAHs from synthetic urine, The synthesized Core/shell nanoparticles were characterized using several techniques such as XRD analysis of The synthesized nanoparticles show amorphous structure. The results obtained showed the high value of the removal ratio that indicates of the tremendous power of the synthesized nanoparticles on removal of PAH.
Software Innovation for SD Card Logger on Autoclave with Waterfall Method

The autoclave is one of the tools used for the sterilization process. If it is used as medical equipment in a hospital, according to the laws and regulations, it must have a certificate of proper use. Currently, autoclave calibration is carried out analogously by testing bacterial growth on spore strip paper. This research is part of the autoclave innovation and aims to create a process design for recording history data on the sterilization process. Data recording uses the data logger method recorded onto the SD Card memory media to record parameter values every second. Program commands are written in C language and run on the Arduino Mega 2560 microprocessor module. The autoclave temperature was detected by the RTD PT100 sensor, and the pressure inside the autoclave was detected using the MPX5700AP sensor. The recording was done in real-time using the DS3231 Real Time Clock (RTC) timer. The research results are to analyze the autoclave condition in more detail in order to obtain the eligibility status and facilitate the calibration process.
Systematic Literature Review: Analysis of Assessment Elements of OHSMS in Indonesia Hospital

As a workplace, hospitals have high hazards and risks, especially related to occupational health and safety (OHS). Therefore, to protect human resources, assets, and hospital facilities, a comprehensive system is needed to regulate the implementation of OHS in hospitals. To ensure the OHS system is implemented properly, special assessment instruments are needed. Furthermore, to develop an appropriate assessment instrument for hospital care, an analysis of the assessment elements of the hospital’s Occupational Health and Safety Management System by reviewing the previous research results. Based on searches on the Science Direct, Jstor, SpringerLink, ProQuest, Sage Publication, Oxford Journal, Google Scholar, and Garuda Dikti databases, 486,132 journals were obtained. Through the evaluation of inclusion and exclusion tests, 18 literature was selected. It was found that the important elements needed in assessing the hospital’s Occupational Health and Safety Management System implementation are: implementation of OHS, building and maintaining commitment, management of OHS risk, and developing skills and capabilities of hospital staffs.
Traversable wormholes in the galactic halo with MOND and non-linear equation of state

The existence of traversable wormhole (TW) in the Einstein’s general theory of relativity is explored with density profile obtained from modified Newtonian dynamics (MOND) with or without a scalar field. The shape functions for wormholes and the null energy conditions (NEC) of matter in the wormhole are determined with a constant redshift function. Wormholes are found to exist with MOND density profile in the presence of exotic matter and determine the mass of a asymptotic flat wormhole geometry. The addition of an extra massless scalar field with MOND density profile permits wormholes even when NEC is obeyed at the throat depending on the initial value of the scalar field. Considering a non-linear equation of state (EoS) p=Aρ−Bρρc , (where A, B and ρ c are constants) in Einstein gravity we obtain TW. In this case new classes of TW solutions are determined which depends on the EoS parameters A and B. TW exists with normal matter when ρ(r 0) ⩾ ρ c and with exotic matter when ρ(r 0) < ρ c at the throat where ρc=BA+12 .
Implementation Dijkstra’s Algorithm for Non-Players Characters in the Game Dark Lumber

Forest is a unitary ecosystem in the form of a stretch of land containing biological natural resources dominated by trees in their natural environment, which cannot be separated from one another. The importance of forest preservation is based on law, namely ensuring the existence of forests in a sustainable manner while maintaining sustainability and not destroying the environment and the surrounding ecosystem. However, public awareness in preserving the forest is still lacking. Therefore, technology is needed that can provide information about forests and the impact of illegal logging in an attractive manner. Games are multimedia entertainment that is made as attractive as possible. Action games require players to concentrate and think quickly in order to avoid obstacles. Dijkstra’s algorithm looks for the shortest path in a number of steps from which each step selects the minimum weighted value and enters it into the set of solutions. Dijkstra’s algorithm implemented on non-player characters in a game to determine the shortest path to the target player. Games built using unity and developed using the Game Development Life Cycle (GDLC) method. GDLC is a game development process that applies an iterative approach consisting of 6 development phases, starting from the initialization or concept creation, preproduction, production, testing, beta and release phases.