Miracle-dz/UniFAR-FTUs huggingface dataset:
A domain-specific approach to architecturing error handling in pervasive computing

The challenging nature of error handling constantly escalates as a growing number of environments consists of networked devices and software components. In these environments, errors cover a uniquely large spectrum of situations related to each layer ranging from hardware to distributed platforms, to software components. Handling errors becomes a daunting task for programmers, whose outcome is unpredictable. Scaling up error handling requires to raise the level of abstraction beyond the code level and the try-catch construct, approaching error handling at the software architecture level. We propose a novel approach that relies on an Architecture Description Language (ADL), which is extended with error-handling declarations. To further raise the level of abstraction, our approach revolves around a domain-specific architectural pattern commonly used in pervasive computing. Error handling is decomposed into components dedicated to platform-wide, error-recovery strategies. At the application level, descriptions of functional components include declarations dedicated to error handling. We have implemented a compiler for an ADL extended with error-handling declarations. It produces customized programming frameworks that drive and support the programming of error handling. Our approach has been validated with a variety of applications for building automation.
Standard values for gas-perfusion manometry of the esophagus

Abstract The manometry with water-perfused or solid-state catheters is the predominant diagnostic procedure to detect motility disorders of the esophagus. Another method is the manometry using gas-perfused catheters. Although the high-resolution manometry is the method of first choice, the conventional manometry with helium has some advantages: the simple and hygienically unproblematic use and the absence of any artefacts by the perfusion medium compared with water-perfusion, and the considerably lower costs compared with the solid-state catheters. Every method has own normal values because of the specific pressure transmission and the design of the catheter probes. To our knowledge, normal values for gas-perfusion manometry of the esophagus have not yet been published. The esophageal manometry with helium-perfused catheters was performed in 30 healthy volunteers. The main parameters of the esophageal motility and the lower esophageal sphincter were analyzed by liquid and bolus-like swallows and compared with the previous published values in other manometric procedures. The values of the motility in the distal esophagus are consistent; the pressure of the lower esophageal sphincter is generally lower than with other methods. The distal wave amplitude and the propagation velocity are significant higher in the distal esophagus than in the middle. The perfusion medium is well tolerated by the investigated volunteers.
Default Physical Measurements in SUMO

The following paper presents a further extension of the Suggested Upper Merged Ontology (SUMO), i. e. the development of default physical measurements for most of its classes (Artifacts, Devices, Objects) and respective children. The extension represents an arbitrary, computable and reproducible approximation of defaults for upper and middle-level concepts. The paper illustrates advantages of such extension, challenges encountered during the compilation, related work and future research.
Identifying Surface BRDF From a Single 4-D Light Field Image via Deep Neural Network

Bidirectional reflectance distribution function (BRDF) defines how light is reflected at a surface patch to produce the surface appearance, and thus, modeling/recognizing BRDFs is of great importance for various tasks in computer vision and graphics. However, such tasks are usually ill-posed or require heavy labor on image capture from different viewing angles. In this paper, we focus on the problem of remote BRDF type identification, by delivering novel techniques that capture and use a single light field image. The key is that a light field image captures both the spatial and angular information by a single shot, and the angular information enables effective samplings of the four-dimensional (4-D) BRDF. To implement the idea, we propose convolutional neural network based architectures for BRDF identification from a single 4-D light field image. Specifically, a StackNet and an Ang-convNet are introduced. The StackNet stacks the angular information of the light field images in an independent dimension, whereas the Ang-convNet uses angular filters to encode the angular information. In addition, we propose a large light field BRDF dataset containing 47 650 high-quality 4-D light field image patches, with different 3-D shapes, BRDFs, and illuminations. Experimental results show significant accuracy improvement in BRDF identification by using the proposed methods.
Modeling of Threshold Voltage and Subthreshold Current for P-Channel Symmetric Double-Gate MOSFET in Nanoscale Regime

In this paper analytical threshold voltage and subthreshold current model for lightly-doped p-channel symmetric Double-Gate (DG) MOSFET in nanoscale regime have been presented. Analytical equation of potential distribution in the channel has been derived by solving the Poisson's equation with the constraint of weak inversion region. Threshold voltage equation of the device has been derived from the inversion charge sheet density at maximum potential position. Subthreshold current model of the device has been derived by augmenting the core drain current model with one of the short-channel effect ie. threshold voltage roll-off. Physical effect like surface roughness scattering has been incorporated in the subthreshold current model. The obtained results from threshold voltage model as a function of channel length and silicon body thickness and subthreshold current model have been found in good agreement with simulation results obtained from device simulator Atlas.
Group B Streptococcal Maternal Colonization and Neonatal Disease: Molecular Mechanisms and Preventative Approaches

Group B Streptococcus (GBS) colonizes the gastrointestinal and vaginal epithelium of a significant percentage of healthy women, with potential for ascending intrauterine infection or transmission during parturition, creating a risk of serious disease in the vulnerable newborn. This review highlights new insights on the bacterial virulence determinants, host immune responses, and microbiome interactions that underpin GBS vaginal colonization, the proximal step in newborn infectious disease pathogenesis. From the pathogen perspective, the function GBS adhesins and biofilms, β-hemolysin/cytolysin toxin, immune resistance factors, sialic acid mimicry, and two-component transcriptional regulatory systems are reviewed. From the host standpoint, pathogen recognition, cytokine responses, and the vaginal mucosal and placental immunity to the pathogen are detailed. Finally, the rationale, efficacy, and potential unintended consequences of current universal recommended intrapartum antibiotic prophylaxis are considered, with updates on new developments toward a GBS vaccine or alternative approaches to reducing vaginal colonization.
ANALISIS KORELASI KONDISI PEMBUATAN FILM TIPIS POLIPROPILEN (PP) DAN SIFAT-SIFAT MEKANIKNYA DENGAN METODE UJI TARIK

Condition Correlation Analysis of Thin Film Polypropylene (PP) and Attributes Mechanical Tensile Testing Method has been performed in Polymer Test Lab located at LIPI Bandung. This study aims to examine the relationship between the manufacture of thin film with a three-siftat sisitem cooling and mechanical properties. Sample material used is Polypropylene (PP) Y101XX grain pellets. Then the material is arranged on the aluminum frame of the heating plate and plastic transparencies of six samples. Such materials will be heated with two variations of temperature at the same time given the pressure by using the hot press Gonno-02 326 at 175oC and 225oC and given three different treatment when the cooling process that is in the chill with ice water (quenching), in the chill on cold press and cooled until it reaches room temperature by turning off the heater. Samples that have formed a thin film forming dipotopng Dumbbell type ISO 527-2. Of the six films produced by two samples with different cooling systems made seven Dumbbell. Then Dumbbell-dumbbell was conducted testing of mechanical properties by measuring the strain, stress and elastic modulus using a tensile test using a Universal Tensile Tester. Keywords: Polypropylene (PP), Thin Film , Universal Tensile Tester
Towards a New Ubiquitous Learning Environment Based on Blockchain Technology

Ubiquitous learning environments have an increasing trend considering the huge number of connected smart devices dedicated to educational services. Ubiquitous learning (U-learning) provides to students the possibility to learn at anyplace and anytime within the collaborative environment using interactive multimedia system that enables effective communication among teacher and learners. The architecture of ubiquitous learning environment (ULE) still suffers from the problems of vulnerability. Blockchain (BC) technology recently explored to provide much more privacy and security using essentially peer-to-peer (P2P) networks has a significant role in the development of decentralized topologies. This paper expounds a novel BC-based architecture for ULE that preserves the benefits of security and privacy. The architecture offers new opportunities to design secured collaborative learning system. It provides data exchange with BC using trust methods within the decentralized topology. The evaluation of this implemented system demonstrates its efficiency while it delivers security and privacy for ULE.
Small angle X‐ray scattering and cross‐linking for data assisted protein structure prediction in CASP 12 with prospects for improved accuracy

Experimental data offers empowering constraints for structure prediction. These constraints can be used to filter equivalently scored models or more powerfully within optimization functions toward prediction. In CASP12, Small Angle X‐ray Scattering (SAXS) and Cross‐Linking Mass Spectrometry (CLMS) data, measured on an exemplary set of novel fold targets, were provided to the CASP community of protein structure predictors. As solution‐based techniques, SAXS and CLMS can efficiently measure states of the full‐length sequence in its native solution conformation and assembly. However, this experimental data did not substantially improve prediction accuracy judged by fits to crystallographic models. One issue, beyond intrinsic limitations of the algorithms, was a disconnect between crystal structures and solution‐based measurements. Our analyses show that many targets had substantial percentages of disordered regions (up to 40%) or were multimeric or both. Thus, solution measurements of flexibility and assembly support variations that may confound prediction algorithms trained on crystallographic data and expecting globular fully‐folded monomeric proteins. Here, we consider the CLMS and SAXS data collected, the information in these solution measurements, and the challenges in incorporating them into computational prediction. As improvement opportunities were only partly realized in CASP12, we provide guidance on how data from the full‐length biological unit and the solution state can better aid prediction of the folded monomer or subunit. We furthermore describe strategic integrations of solution measurements with computational prediction programs with the aim of substantially improving foundational knowledge and the accuracy of computational algorithms for biologically‐relevant structure predictions for proteins in solution.
Medical Cannabis for the Treatment of Fibromyalgia

Background Fibromyalgia is a chronic pain syndrome, characterized by chronic musculoskeletal pain, fatigue, and mood disturbances. There are nearly no data on the effect of medical cannabis (MC) treatment on patients with fibromyalgia. Methods Data were obtained from the registries of 2 hospitals in Israel (Laniado Hospital and Nazareth Hospital) on patients with a diagnosis of fibromyalgia who were treated with MC. After obtaining patient consent, demographic, clinical, and laboratory parameters were documented. All the patients also completed the Revised Fibromyalgia Impact Questionnaire regarding the period before and after MC treatment. Results Thirty patients were identified, and 26 patients were included in the study. There were 19 female patients (73%), and the mean age of the study group was 37.8 ± 7.6 years. The mean dosage of MC was 26 ± 8.3 g per month, and the mean duration of MC use was 10.4 ± 11.3 months. After commencing MC treatment, all the patients reported a significant improvement in every parameter on the questionnaire, and 13 patients (50%) stopped taking any other medications for fibromyalgia. Eight patients (30%) experienced very mild adverse effects. Conclusions Medical cannabis treatment had a significant favorable effect on patients with fibromyalgia, with few adverse effects.
Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control

We consider a two-level profit-maximizing strategy, including planning and control, for battery energy storage system (BESS) owners that participate in the primary frequency control market. Specifically, the optimal BESS control minimizes the operating cost by keeping the state of charge (SoC) in an optimal range. Through rigorous analysis, we prove that the optimal BESS control is a “state-invariant” strategy in the sense that the optimal SoC range does not vary with the state of the system. As such, the optimal control strategy can be computed offline once and for all with very low complexity. Regarding the BESS planning, we prove that the minimum operating cost is a decreasing convex function of the BESS energy capacity. This leads to the optimal BESS sizing that strikes a balance between the capital investment and operating cost. This paper here provides a useful theoretical framework for understanding the planning and control strategies that maximize the economic benefits of BESSs in ancillary service markets.
A reference points-based evolutionary algorithm for many-objective optimization

Many-objective optimization problems are common in real-world applications, few evolutionary optimization methods, however, are suitable for them up to date due to their difficulties. We proposed a reference points-based evolutionary algorithm (RPEA) to solve many-objective optimization problems in this study. In RPEA, a series of reference points with good performances in convergence and distribution are generated according to the current population to guide the evolution. Furthermore, superior individuals are selected based on the assessment of each individual by calculating the distances between the reference points and the individual in the objective space. The algorithm was applied to four benchmark optimization problems and compared with NSGA-II and HypE. The results experimentally demonstrate that the algorithm is strengthened in obtaining Pareto optimal set with high performances.
Metal bioavailability to Folsomia candida: towards biotic ligand modeling and bioaccumulation kinetics approaches

The biotic ligand model (BLM) is a theoretical, potentially mechanistic approach to assess metal bioavailability in soil and aquatic systems. In a BLM, toxicity is linked to the fraction of biotic ligand occupied, which, in turn, depends on the various components of the solution, including activity of the metal. Bioavailability is a key factor in determining toxicity and uptake of metals in organisms. In this paper, the present status on BLM development for soil and aquatic organisms is summarized including the physical-chemical properties of the medium that influence kinetics and toxicity. Conditional biotic ligand binding constants for metals were compared across species. For almost all organisms, values for Ag, Cu, and Cd were higher than those for Zn and Ni. pH appeared to be one of the main factors affecting the binding of metals to the biotic ligand. The constants derived for aquatic systems seem to be equally valid for soils, but in the case of soils, bioavailability from the soil solution is greatly influenced by the presence of solid phases. Masoud M. Ardestani, Nico M. van Straalen, Cornelis A. M. van Gestel Submitted
Sketching Streams Through the Net: Distributed Approximate Query Tracking

Emerging large-scale monitoring applications require continuous tracking of complex data-analysis queries over collections of physically-distributed streams. Effective solutions have to be simultaneously space/time efficient (at each remote monitor site), communication efficient (across the underlying communication network), and provide continuous, guaranteed-quality approximate query answers. In this paper, we propose novel algorithmic solutions for the problem of continuously tracking a broad class of complex aggregate queries in such a distributed-streams setting. Our tracking schemes maintain approximate query answers with provable error guarantees, while simultaneously optimizing the storage space and processing time at each remote site, and the communication cost across the network. They rely on tracking general-purpose randomized sketch summaries of local streams at remote sites along with concise prediction models of local site behavior in order to produce highly communication- and space/time-efficient solutions. The result is a powerful approximate query tracking framework that readily incorporates several complex analysis queries (including distributed join and multi-join aggregates, and approximate wavelet representations), thus giving the first known low-overhead tracking solution for such queries in the distributed-streams model.
A Huge Effect of Weak dc Electrical Fields on Grain Growth in Zirconia

We show that the application of a modest dc electrical field, about 4 V/cm, can significantly reduce grain growth in yttria-stabilized polycrystalline zirconia. These measurements were made by annealing samples, for 10 h at 1300°C, with and without an electrical field. The finding adds a new dimension to the role of applied electrical fields in sintering and superplasticity, phenomena that are critical to the net-shape processing of ceramics. Grain-growth retardation will considerably enhance the rates of sintering and superplasticity, leading to significant energy efficiencies in the processing of ceramics.
A Comparison of a Wide-Slot and a Stacked Patch Antenna for the Purpose of Breast Cancer Detection

A wide-slot UWB antenna is presented for intended use in the detection scheme being developed at the University of Bristol, based on the principle of synthetically focused UWB radar using a fully populated static array. The antenna's measured and simulated, input and radiation characteristics are presented and compared to an existing, stacked patch antenna that has been designed for the same purpose. The results of this study show that the wide-slot antenna has excellent performance across the required frequency range. Compared to the stacked-patch antenna used in our previous array, the wide-slot antenna can be 3 times smaller (in terms of front surface). The compact nature of the slot antenna means that the detection array can be densely populated. Additionally, this new antenna offers better radiation coverage of the breast. For angles up to 60° away from bore-sight radiated pulses are almost identical (fidelity >95%), whereas for the patch antenna fidelity falls to 58% at the angular extremes. This uniform radiation into the breast should result in focused images with low levels of clutter.
Sono‐ and Photochemical Routes for the Formation of Highly Dispersed Gold Nanoclusters in Mesoporous Titania Films

A sono‐ and photochemical approach has been developed to incorporate highly dispersed gold nanoclusters into mesoporous TiO2 films. The first step involves the sonication of a TiO2 film immersed in a gold chloride solution. This effectively removes the air trapped in the porous film matrix and drives the gold chloride into the pore channels, leading to a homogeneous adsorption of ionic Au in the TiO2 mesoporous matrix. The second step takes advantage of the photocatalytic property of TiO2 to reduce the adsorbed Au ions to Au0. As the gold nanoclusters thus produced are stabilized by the TiO2 mesonetwork, no organic capping molecules are required. Highly dispersed Au/TiO2 nanoheterojunction arrays can be obtained using this interesting approach.
Implementation, investigation, and improvement of a novel cone-beam reconstruction method [SPECT]

A three-dimensional reconstruction method which uses cone-beam data was implemented. Issues concerning implementation are investigated and discussed in detail. Computer simulations were used to determine the amount of image degradation occurring in each of the three steps that comprise the reconstruction method. In addition, computer simulations were used to investigate issues concerning sampling. Improvements in the implementation were made. Additionally, suggestions for future efforts to improve the implementation are made.
Programming support and adaptive checkpointing for high-throughput data services with log-based recovery

Many applications in large-scale data mining and offline processing are organized as network services, running continuously or for a long period of time. To sustain high-throughput, these services often keep their data in memory, thus susceptible to failures. On the other hand, the availability requirement for these services is not as stringent as online services exposed to millions of users. But those data-intensive offline or mining applications do require data persistence to survive failures. This paper presents programming and runtime support called SLACH for building multi-threaded high-throughput persistent services. To keep in-memory objects persistent, SLACH employs application-assisted logging and checkpointing for log-based recovery while maximizing throughput and concurrency. SLACH adaptively adjusts checkpointing frequency based on log growth and throughput demand to balance between runtime overhead and recovery speed. This paper describes the design and API of SLACH, adaptive checkpoint control, and our experiences and experiments in using SLACH at Ask.com.
Viscoelastic, dielectric, and piezoelectric behavior of solid amylose

Complex elastic, dielectric, and piezoelectric properties were measured on amylose films as a function of temperature and moisture content at 10 Hz. The real part of the complex Young's modulus of films containing a small amount of moisture was larger than that of a dry film. Peaks in the imaginary parts of these complex response functions were observed at about −80°C. The height of these peaks decreased when the specimen absorbed a little moisture. The activation energy for this peak as determined from an Arrhenius plot of the dielectric frequency dispersion was about 9.5 kcal/mole. This peak was ascribed to methylol rotation. The real part of piezoelectric e constant was shifted downwards when the specimen absorbed moisture. This was attributed to the instantaneous response in the case of a step function excitation. The structure of amylose was thought to be stabilized by moisture absorption, probably due to hydrogen bonding. The mechanism of methylol rotation was examined by dielectric measurements.