Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinimetric testing of the Persian version of the Patient-Rated Tennis Elbow Evaluation (PRTEE) and the Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaires in patients with lateral elbow tendinopathy

Abstract Purpose To evaluate the longitudinal validity and responsiveness of the Persian version of Patient-Rated Tennis Elbow Evaluation (PRTEE) and the Disabilities of the Arm, Shoulder, and Hand (DASH) in patients with lateral elbow tendinopathy (LET). Methods Sixty-four patients with LET completed the PRTEE, DASH, and Global Rating of Change Scale (GRC) at baseline and six weeks. The external and internal responsiveness, floor and ceiling effects, minimal detectable change (MDC) and minimal clinically important difference (MCID) were calculated. Results No ceiling and floor effects were detected for either the PRTEE or DASH. External responsiveness as an indicator to detect the relationship between change in the measured and external indicator of change was acceptable for both, but higher for the PRTEE (AUC = 0.90; CI: 0.83–0.97) vs. DASH (AUC = 0.80; CI: 69–90). Internal responsiveness to detect intervention related changes indicated slightly superiority in responsiveness for PRTEE. The relative efficiency (1.21), standard effect size (1.14 PRTEE vs. 1.03 DASH), and standard response mean (1.34 PRTEE vs. 1.10 DASH). The MDC were 11 and 12, and MCID were 20 and 18 for the PRTEE and DASH, respectively. Conclusions Both the DASH and PRTEE were responsive in detecting improvement in patients with LET. The PRTEE was shorter, more efficient, and slightly more responsive which supports its use as a core outcome measure in evaluating patients with LET. Implications for Rehabilitation The Patient-Rated Tennis Elbow Evaluation (PRTEE) compared with the Disability of the Arm, Shoulder, and Hand (DASH) is a shorter questionnaire with higher psychometric and clinimetric properties for evaluating the patients with lateral elbow tendinopathy. This supports the use of the PRTEE in evaluating patients with elbow tendinopathy.
Hydrogen permeation in parabolic trough receivers

The continued economic and population development puts additional pressure on the already scarce energetic sources. Thus there is a growing urge to adopt a sustainable plan able to meet the present and future energetic demands. Since the last two decades, solar trough technology has been demonstrating to be a reliable alternative to fossil fuels. Currently, the trough industry seeks, by optimizing energy conversion, to drive the cost of electricity down and therefore to place itself as main player in the next energetic age. One of the issues that lately have gained considerable relevance came from the observation of significant heat losses in a large number of receiver modules. These heat losses were attributed to slow permeation of traces of hydrogen gas through the steel tube wall into the vacuum annulus. The presence of hydrogen gas in the absorber tube results from the decomposition of heat transfer fluid due to the long-term exposure to 400°C. The permeated hydrogen acts as heat conduction mean leading to a decrease in the receivers performance and thus its lifetime. In order to prevent hydrogen accumulation, it has been common practice to incorporate hydrogen getters in the vacuum annulus of the receivers. Nevertheless these materials are not only expensive but their gas absorbing capacity can be insufficient to assure the required level of vacuum for the receivers to function. In this work the building of a permeation measurement device, vulnerabilities detected in the construction process and its overcome are described. Furthermore an experimental procedure was optimized and the obtained permeability results, of different samples were evaluated. The data was compared to measurements performed by an external entity. The reliability of the comparative data was also addressed. In the end conclusions on the permeability results for the different samples characteristics, feasibility of the measurement device are drawn and recommendations on future line of work were made.
The Light Dependence of Mesophyll Conductance and Relative Limitations on Photosynthesis in Evergreen Sclerophyllous Rhododendron Species

Mesophyll conductance (gm) limits CO2 diffusion from sub-stomatal internal cavities to the sites of RuBP carboxylation. However, the response of gm to light intensity remains controversial. Furthermore, little is known about the light response of relative mesophyll conductance limitation (lm) and its effect on photosynthesis. In this study, we measured chlorophyll fluorescence and gas exchange in nine evergreen sclerophyllous Rhododendron species. gm was maintained stable across light intensities from 300 to 1500 μmol photons m−2 s−1 in all these species, indicating that gm did not respond to the change in illumination in them. With an increase in light intensity, lm gradually increased, making gm the major limiting factor for area-based photosynthesis (AN) under saturating light. A strong negative relationship between lm and AN was found at 300 μmol photons m−2 s−1 but disappeared at 1500 μmol photons m−2 s−1, suggesting an important role for lm in determining AN at sub-saturating light. Furthermore, the light-dependent increase in lm led to a decrease in chloroplast CO2 concentration (Cc), inducing the gradual increase of photorespiration. A higher lm under saturating light made AN more limited by RuBP carboxylation. These results indicate that the light response of lm plays significant roles in determining Cc, photorespiration, and the rate-limiting step of AN.
A survey on enhanced RPL: Addressing the mobility in RPL

The Internet Of Things(IoT) is emerging as a necessary tool for the modernization of world. With the advancement in IoT comes the new challenges in many areas. One area among them is routing. Though routing in IoT is challenging but the more challenging task is routing in low power lossv networks (RPL). There are some critical applications for example healthcare, which requires the mobility issue to be resolved. Mobility in RPL is a new research area for many scholars and number of protocols are developed for the same. Some work integrate mobility in a way that avoid any disconnection of moving node before finding new connection while other just allow fast recovery after disconnection. This work is analysis of various mobility associated RPL protocols. The main focus of this paper is on the energy consumption, handover delay, signaling cost and route stability of various algorithms. The presented work also focuses on whether the protocol is reactive or proactive. This work gives a detailed conclusion on development of mobility in RPL and categorized the studied protocols on the basis of their property. To some extent protocols studied are also compared to each other and tells which one is better.
An Algorithm of Query Expansion for Chinese EMR Retrieval by Improving Expansion Term Weights and Retrieval Scores

Query expansion (QE) has been widely used in electronic medical record (EMR) retrieval for assisted diagnosis and clinical research. However, existing QE algorithms haven’t achieved satisfactory performance in Chinese EMR retrieval, and one noticeable problem is that the weights of expansion terms and retrieval scores have unreasonable factors for lack of the solid consideration of clinical needs. Here we propose an algorithm of QE for Chinese EMR retrieval by improving expansion term weights and retrieval scores. First, the weights of expansion terms are assigned with semantic similarities, category weights and co-occurrence frequencies between expansion terms and multiple query terms. Then the retrieval scores calculated by expansion terms are limited to reduce the query drift caused by high-frequency expansion terms. Experiment results show that our method gets a 33.3% increase in the precision at top 10, a 90.4% increase in the recall, and a 13.2% increase in MAP compared with four baselines. It proves that our improvement scheme can ensure the accuracy of expansion term weights and decrease the query drift caused by QE, which substantially improves the performance of Chinese EMR retrieval.
Leaky-Wave Antenna With Wide Scanning Range Based on Double-Layer Substrate Integrated Waveguide

A leaky-wave antenna (LWA) based on the double-layer substrate integrated waveguide (SIW) that has a wide scanning range within a narrow bandwidth is proposed. The LWA consists of two layers, each of which consists of multiple elemental SIWs arranged in parallel at each layer while the direction of the SIWs in the two layers are at an oblique angle to each other. The elemental top layer SIWs are connected to those in the bottom layer though parallelogram-shaped slots, so that the two layers together form a double-layer SIW. Thin slots etched on the upper surface of each elemental SIW of the top layer act as radiating structures. As the phase difference between the radiating slots of adjacent elemental SIWs can be enlarged by the waveguide length, wide-angle beam scanning is achieved within a specific frequency bandwidth. The proposed LWA has a scanning range from −58° to 49° in a relative bandwidth of 6.45%, from 12.75 GHz to 13.6 GHz. The scanning rate (SR), defined as the scanning range divided by the relative bandwidth, is up to 16.5. The size of structure is compact, which is $4.0\lambda _{0}\times 3.6\lambda _{0} \times 0.04\,\,\lambda _{0}$ . The proposed LWA is suitable for radar or communication system applications.
SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults

Log-based anomaly detection has been widely studied and achieves a satisfying performance on stable log data. But, the existing approaches still fall short meeting these challenges: 1) Log formats are changing continually in practice in those software systems under active development and maintenance. 2) Performance issues are latent causes that may not be detected by trivial monitoring tools. We thus propose SwissLog, namely a robust and unified deep learning based anomaly detection model for detecting diverse faults. SwissLog targets at those faults resulting in log sequence order changes and log time interval changes. To achieve that, an advanced log parser is introduced. Moreover, the semantic embedding and the time embedding approaches are combined to train a unified attention based BiLSTM model to detect anomalies. The experiments on real-world datasets and synthetic datasets show that SwissLog is robust to the changing log data and effective for diverse faults.
Dynamique vibrationnelle de métaux-carbonyles pièges en matrice cryogénique

Nous avons mis en place un dispositif permettant l’acquisition d'echos de photons stimules infrarouges a l’echelle femtoseconde. Le but est d'examiner la dynamique vibrationnelle aux temps courts de metaux carbonyles (W(CO)₆ and Fe(CO)₅) pieges en matrice cryogenique (4-50 K). Cet environnement solide, issu de la condensation d'un melange gazeux contenant une impurete et un gaz inerte (N₂, CH₄, Ar, etc.), est propice a l’etude de systemes dans leur etat fondamental. L’excitation d’une vibration moleculaire s’attenue toujours temporellement, ce qui correspond dans le domaine spectral a un elargissement des raies d’absorption. L’etude de la dynamique vibrationnelle vise a examiner les causes physiques a l’origine de cet elargissement spectral. Typiquement, elles sont de trois sortes : phenomenes intramoleculaires, interactions entre molecules piegees et interactions entre la molecule piegee et l’environnement. Les echos de photons permettent de distinguer les contributions homogenes et inhomogenes de l’elargissement spectral et de caracteriser les processus de dephasage, de relaxation des populations et de diffusion spectrale. Parmi les resultats obtenus, nous avons mis en evidence l'influence des phonons specifiques aux matrices moleculaires (ex : libration de N₂ et rotation de CH₄ ) sur le dephasage vibrationnel ainsi que l’influence de la transition de phase du methane solide a 20 K sur la dynamique vibrationnelle. Nous avons egalement montre que la dynamique vibrationnelle etait dependante du site cristallographique dans lequel est piegee la molecule. Enfin, en excitant plusieurs modes de vibration simultanement, nous avons pu examiner les couplages intramoleculaires.
Assessing the Impact of Mobile Educational Games on Student’s Success within Mathematics Subject in Primary Schools

The research focus is set in investigating the impact of educational games as instructional strategy in student’s success within the course of Mathematics in High School. In order to assess the impact we have developed a mathematical mobile Game for Android Devices, to be used as a case study, and assessed the students’ achievements. We have used quantitative research methodology and as research method used a questionnaire to collect the data. We collected the data before and after playing the game, so we can assess the difference of the time spent on educational games and the level of transferred knowledge. The system is expected to help high school students to easily orient and engage during lecture classes and easily find and use the learning content. The system has been evaluated on its functionalities and the usability, on two groups of users, one group with computer science background and the second group of users as novices with different field background. Afterwards we used regression analyses to determine the impact. The research study tries to contribute with identified impacting factors for such systems, analyses of the improvement in user friendliness, and usability. Insights and recommendations are provided.
Progress-aware Dynamic Slack Exploitation in Mixed-critical Systems: Work-in-Progress

Mixed-critical systems consist of high criticality and low criticality applications. When a high criticality task exceeds its less pessimistic Worst Case Execution Time (WCET), the system switches mode and low criticality tasks are usually dropped. To postpone mode switch, existing approaches explore the slack, created dynamically due to an actual execution of a task that is faster than its WCET. However, the slack is visible only after the task has finished. To further enable dynamic slack exploitation, we propose a fine-grained approach that exposes the slack created due to the progress of tasks, during execution, and safely uses it to postpone mode switch.
5G Technology for E-Health

Internet bandwidth plays a major role in reliable and instantaneous delivery of data over the network. This paper discusses the possibilities of 5G networks revolutionizing the healthcare industry. The bandwidth availability of 5G is said to be 10 to 100 times more than the current technology in usage for health care applications. It is expected to provide faster internet speed, much lower latency and higher bandwidth which would benefit patient care and telemedicine applications to globally advance.
Optimization and Characterization of Mesoporous Sulfonated Carbon Catalyst and Its Application in Modeling and Optimization of Acetin Production

In this study, an optimized mesoporous sulfonated carbon (OMSC) catalyst derived from palm kernel shell biomass was developed using template carbonization and subsequent sulfonation under different temperatures and time conditions. The OMSC catalyst was characterized using acid-base titration, elemental analysis, XRD, Raman, FTIR, XPS, TPD-NH3, TGA-DTA, SEM, and N2 adsorption–desorption analysis to reveal its properties. Results proved that the OMSC catalyst is mesoporous and amorphous in structure with improved textural, acidic, and thermal properties. Both FTIR and XPS confirmed the presence of -SO3H, -OH, and -COOH functional groups on the surface of the catalyst. The OMSC catalyst was found to be efficient in catalyzing glycerol conversion to acetin via an acetylation reaction with acetic acid within a short period of 3 h. Response surface methodology (RSM), based on a two-level, three-factor, face-centered central composite design, was used to optimize the reaction conditions. The results showed that the optimized temperature, glycerol-to-acetic acid mole ratio, and catalyst load were 126 °C, 1:10.4, and 0.45 g, respectively. Under these optimum conditions, 97% glycerol conversion (GC) and selectivities of 4.9, 27.8, and 66.5% monoacetin (MA), diacetin (DA), and triacetin (TA), respectively, were achieved and found to be close to the predicted values. Statistical analysis showed that the regression model, as well as the model terms, were significant with the predicted R2 in reasonable agreement with the adjusted R2 (<0.2). The OMSC catalyst maintained excellent performance in GC for the five reaction cycles. The selectivity to TA, the most valuable product, was not stable until the fourth cycle, attributable to the leaching of the acid sites.
A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems

Compressed Sensing (CS) has been proposed as a low-complexity ECG data compression scheme for wearable wireless bio-sensor devices. However, CS decoding is characterized by high computational complexity. As a result, it represents a burden to the computational and energy resources of the network gateway node, where decoding is performed. In this article, we propose a Fast Compressive Electrocardiography (FCE) technique to address this problem. CS decoding in FCE is based on Weighted Regularized Least-Squares (WRLS), rather than the standard approach based on $\ell _{1}$ norm minimization. The WRLS formulation takes into account prior knowledge of ECG signal properties to estimate an optimally compact and accurate representation of ECG signals. Numerical results show that decoding by FCE is on average 33 times faster than the fastest tested CS-based ECG decoding technique. In addition, high-quality ECG signal reconstruction by FCE is achieved at 32% higher compression ratio. Therefore, FCE can contribute to improving the overall energy and computational resource efficiency of CS-based remote ECG monitoring systems.
Modelling and energy management of a flywheel storage system for peak shaving applications

Peak shaving applications provided by energy storage systems are sustainable solutions for enhancing the existing capacity of distribution feeders and transformers in order to maintain their safe and reliable operation under an increased penetration of renewable energy sources and load demand growth. This work investigates the integration of a flywheel energy storage system installed in a feeder of a distribution network to provide peak shaving services. An empirical model is defined to determine the energy losses of a prototype flywheel system using an experimental setup. Furthermore, a multi-objective optimization scheme is proposed to minimize the flywheel energy losses along with the violated peak power of the feeder. Three different objective functions for applying peak shaving are presented and their efficiency is investigated in the simulation results. Finally, the impact of the flywheel energy losses on the peak shaving application of the distribution feeder is examined using a prototype and a commercial-grade flywheel energy storage system.
Pin Addressing Method Based on an SVM With a Reliability Constraint in Digital Microfluidic Biochips

Digital microfluidic biochips (DMFBs) are increasingly important and are used for point-of-care, drug discovery, clinical diagnosis, immunoassays, etc. Pin-constrained DMFBs are an important part of digital microfluidic biochips, and they have gained increasing attention from researchers. However, many previous works have focused on the problem of electrode addressing and aimed to minimize the number of control pins in pin-constrained DMFBs. Although the number of control pins can be effectively redistributed through broadcast addressing technology, the chip reliability will be reduced if the signals are shared arbitrarily. Arbitrary signal sharing can lead to a large number of actuations for many idle electrodes, and as a result, a trapping charge or decreasing contact angle problem could occur for some electrodes, reducing the reliability of the chip. To address this problem, the appropriate electrode matching object should be carefully selected, and the influence of these factors on chip reliability should be fully considered. For this purpose, we aimed to fully consider electrode addressing and the reliability of the chip in improving the reliability of DMFBs. This paper proposed a pin addressing method based on a support vector machine (SVM) with the reliability constraint algorithm, which can fully consider the electrode addressing method and the reliability of the chip together. The proposed method achieved an average maximum number of electrode actuations that was 53.8% and 18.2% smaller than those of the baseline algorithm and the graph-based algorithm, respectively. The simulation experiment results showed that the proposed method can efficiently solve reliability problems during the DMFB design process.
Research and Implementation of Novel Matched Filter Architecture for MIMO Radar

This paper proposes a matched filter architecture for MIMO radar from different angles. Firstly, the traditional matched filter architecture of MIMO radar echo signal is analyzed, and some shortcomings are pointed out. Secondly, the traditional matched filter architecture is improved from the perspective of spectrum shift. Finally, the experiments verify the feasibility of the proposed architecture and give the results of floating-point and fixed-point simulations which show little difference. Further analysis shows that the novel architecture can make the communication system more concise.
Event-Based Formation Control for Linear Multi-Agent Systems Under Switching Topology

This paper investigates linear multi-agent systems under switching topology. A novel event-triggered consensus formation controller is proposed. Sufficient conditions are presented to ensure the boundedness of formation error. Zeno behavior can also be avoided in the event-triggered mechanism. A numerical simulation based on hexagon formation of six robots is carried out to validate the results.
Towards Smart Buildings: A Versatile Acquisition Setup for Indoor Climate Data

Real measurement data of indoor climate in buildings provide a valuable foundation for models, their calibration and validation, as well as for control. Hence, the present paper describes a respective experimental measurement setup. We mainly collect temperature and humidity data in three different buildings: A newer office building exemplarily represents buildings with modern infrastructure supporting wired sensors. Lacking this prerequisite, the setups in an older building and a laboratory depend on radio communication only, for which we largely use Internet of Things (IoT) technologies. Since the choices regarding data acquisition, transfer, and processing strongly influence the quality of the data, we focus on communication and back-end infrastructure, as well as visualization and data treatment. We provide methods and tools as open source packages.