Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Implementation of Software Systems for Imaging Spectroscopy

Specialized software systems have played a crucial role throughout the twenty-five year course of the development of the new technology of imaging spectroscopy, or hyperspectral remote sensing. By their very nature, hyperspectral data place unique and demanding requirements on the computer software used to visualize, analyze, process and interpret them. Often described as a marriage of the two technologies of reflectance spectroscopy and airborne/spaceborne remote sensing, imaging spectroscopy, in fact, produces data sets with unique qualities, unlike previous remote sensing or spectrometer data. Because of these unique spatial and spectral properties hyperspectral data are not readily processed or exploited with legacy software systems inherited from either of the two parent fields of study. This paper provides brief reviews of seven important software systems developed specifically for imaging spectroscopy.
Visual Servoing for Floppy Robots using LWPR

We have combined inverse kinematics learned by LWPR with visual servoing to correct for inaccuracies in a low cost robotic arm. By low cost we mean weak inaccurate servos and no available joint-feedback. We show that from the trained LWPR model the Jacobian can be estimated. The Jacobian maps wanted changes in position to corresponding changes in control signals. Estimating the Jacobian for the first iteration of visual servoing is straightforward and we propose an approximative updating scheme for the following iterations when the Jacobian can not be estimated exactly. This results in a sufficient accuracy to be used in a shape sorting puzzle.
Using self-diagnosis to adapt organizational structures

The specific organization used by a multi-agent system is crucial for its effectiveness and efficiency. In dynamic environments, or when the objectives of the system shift, the organization must therefore be able to change as well. The authors propose using a general diagnosis engine to drive this process of adaptation, using the TAEMS modeling language as the primary representation of organizational information (B. Horling et al., 1999).
Ex vivo corneal epithelial wound healing following exposure to ophthalmic nonsteroidal anti-inflammatory drugs

Purpose: Ketorolac 0.45% is a new formulation of topical ketorolac in which preservative (benzalkonium chloride, BAK) was removed and carboxymethylcellulose (CMC) was added to improve tolerability and reduce dosing frequency. This study compared the effects of ketorolac 0.45% on corneal wound healing to prior ketorolac formulations (0.4% and 0.5%), bromfenac 0.09%, and nepafenac 0.1%. Methods: Two parallel-group comparisons were performed in series. A 5-mm central epithelial wound was made in fresh porcine corneas. After 24 hours in minimum essential medium (MEM), corneas were incubated for 10 minutes with study drugs, Triton X-100 1% (positive control), or MEM (negative control), followed by 24 hours in MEM. The remaining wound area was stained, photographed, and quantified (pixels). Study 1 compared ketorolac 0.45% to ketorolac 0.4% and ketorolac 0.5%. Study 2 compared ketorolac 0.45% to bromfenac 0.09% and nepafenac 0.1%. Results: The mean (±SD) original wound area was 200,506 ± 4,363 pixels, which was reduced to 59,509 ± 4850 at 48 hours after exposure to Triton X-100 1%. In study 1, the mean remaining wound areas at 48 hours in pixels were 2969 ± 1633 with MEM, 586 ± 299 with ketorolac 0.45% (significantly reduced, P < 0.05 vs all other treatments), 10,228 ± 7541 with ketorolac 0.4%, and 50,674 ± 33,409 with ketorolac 0.5% (significantly enlarged, P < 0.05 vs MEM). In study 2, the mean remaining wound areas at 48 hours were 565 ± 1263 with MEM, 322 ± 229 with ketorolac 0.45% (significantly reduced, P < 0.01 vs bromfenac 0.09% and nepafenac 0.1%), 29,093 ± 14,295 with bromfenac 0.09% (significantly enlarged, P <0.01 vs MEM) and 47,322 ± 13,736 with nepafenac 0.1% (significantly enlarged, P < 0.01 vs MEM and vs bromfenac 0.09%). Conclusion: Corneas treated with ketorolac 0.45% healed as rapidly as those treated with MEM, likely secondary to addition of CMC and removal of BAK. In the ex vivo corneal organ culture model, ketorolac 0.45% had statistically less impact on corneal re-epithelialization than prior ketorolac formulations (0.4% and 0.5%), bromfenac 0.09%, and nepafenac 0.01%.
The Effect of Experience and Gender on Cardiovascular and Metabolic Responses With Dynamic Tae Kwon Do Exercise

This study, conducted at the Exercise Physiology Laboratory of Auburn University AL, addressed and compared the acute cardiovascular and metabolic effects elicited by novice and experienced men and women participants during a single bout of dynamic Tae Kwon Do exercise and investigated whether or not dynamic Tae Kwon Do practice is an exercise modality that provides sufficient cardiorespiratory demand for enhancing aerobic fitness and promoting weight and fat loss. Twenty-eight men and women (aged 19–42) were assigned to 1 of the following 4 groups: Tae Kwon Do experienced and trained men (ME), Tae Kwon Do experienced and trained women (FE), novice Tae Kwon Do men (MN), and novice Tae Kwon Do women (FN). The results of this investigation indicate that this form of exercise can be performed for an extended period of 20 minutes. All 4 groups achieved the recommended stimulus for effective initiation of cardiovascular adaptations and conditioning. The mean exercise heart rate responses (88.3–92.2% of maximal heart rate [HR max]) were similar for all groups. The observed exercise intensity ranged from 67.9 to 72.1% Vo2max, and no significant difference based on the experience and gender and exercise oxygen uptake could be established. Data in this study indicate a high caloric expenditure for this mode of exercise. Total caloric cost of 20 minutes of dynamic Tae Kwon Do, 194.8 and 201.6 kcal for novice women and experienced women, respectively, was significantly lower in comparison with that of their men counterparts (316.5 and 286.5 kcal, respectively), but no significant relationship between experience and energy cost was found. The conclusion of this study indicates that dynamic Tae Kwon Do is an exercise modality that can be appropriately prescribed for cardiovascular conditioning, weight control, and fat loss.
Residual stresses in random-planar aluminium/Saffil® short-fibre composites deformed in different loading modes

Abstract The evolution of residual stress with plastic pre-strain was studied on a squeeze-cast, 2D-random short-fibre-reinforced metal matrix composite (aluminium/Saffil®). The plastic pre-strain was applied in three different modes: (1) uniaxial compression parallel to the fibre plane, (2) uniaxial tension parallel to the fibre plane, and (3) uniaxial compression normal to the fibre plane. The mean deviatoric residual stresses in the aluminium matrix were analysed using neutron diffraction. A major outcome is that the residual matrix stress is controlled by the load transfer to the fibres during deformation of the composite and reverse matrix plastic flow during unloading. The interplay between matrix and fibres depends strongly on the loading mode, and so does the evolution of the residual stresses as a function of pre-strain. This could be rationalised in a unified way using an Eshelby model.
Optimal effect-site concentration of remifentanil when combined with dexmedetomidine in patients undergoing cystoscopy

Background Cystoscopic procedure is a very common practice in the field of urology due to its ability to survey the bladder for a variety of indications. However, patients who undergo cystoscopy feel intense pain and discomfort. This study investigated the half maximal effective concentration (EC50) of remifentanil in preventing cystoscope insertion pain under sedation using dexmedetomidine. Methods The study was prospectively conducted on 18 male patients, aged 18 to 65. Remifentail infusion was initiated together with dexmedetomidine, and started at a dose of 2.4 ng/ml on the first patient. The effect-site concentration (Ce) of remifentanil for each subsequent patient was determined by the previous patient's response using Dixon's up-and-down method with an interval of 0.3 ng/ml. Patients received a loading dose of 1.0 µg/kg dexmedetomidine over 10 minutes, followed by a maintenance dose of 0.6 µg/kg/hr. After the patient's OAA/S score (Observer's Assessment of Alertness/Sedation scale) reached 3-4, and the Ce of remifentanil reached target concentration, the urologist was allowed to insert the cystoscope and the pain responses were observed. Results The effect-site concentration of remifentanil required to prevent cystoscope insertion pain in 50% of patients under sedation using dexmedetomidine was 1.30 ± 0.12 ng/ml by Dixon's up-and-down method. The logistic regression curve of the probability of response showed that the EC50 and EC95 values (95% confidence limits) of remifentanil were 1.33 ng/ml (1.12-1.52 ng/ml) and 1.58 ng/ml (1.44-2.48 ng/ml), respectively. Conclusions Cystoscopic procedure can be carried out successfully without any pain or adverse effects by optimal remifentanil effect-site concentration (EC50, 1.33 ng/ml; EC95, 1.58 ng/ ml) combined with sedation using dexmedetomidine.
A New Robust Interference Reduction Scheme for Low Complexity Direct-Sequence Spread-Spectrum Receivers: Performance

In this paper, we present a new robust directsequence spread-spectrum concept with integrated interference reduction capabilities to reduce mixed narrowband- and broadband-interference. It combines robustness in the presence of strong interference of unknown composition with implementation simplicity and spectral efficiency. This is achieved by combining a comparatively low processing gain direct-sequence spread-spectrum system with an efficient interference reduction technique based on a simple adaptive nonlinearity employed prior to spread-spectrum demodulation. Our reliable chip accumulation technique allows to combine spectral efficiency with interference reduction capabilities comparable to traditional military spread-spectrum systems, which typically rely on a huge processing gain that is not affordable in commercial bandwidth-limited applications.
Memetically Optimized MCWLD for Matching Sketches With Digital Face Images

One of the important cues in solving crimes and apprehending criminals is matching sketches with digital face images. This paper presents an automated algorithm to extract discriminating information from local regions of both sketches and digital face images. Structural information along with minute details present in local facial regions are encoded using multiscale circular Weber's local descriptor. Further, an evolutionary memetic optimization algorithm is proposed to assign optimal weight to every local facial region to boost the identification performance. Since forensic sketches or digital face images can be of poor quality, a preprocessing technique is used to enhance the quality of images and improve the identification performance. Comprehensive experimental evaluation on different sketch databases show that the proposed algorithm yields better identification performance compared to existing face recognition algorithms and two commercial face recognition systems.
The MHC molecule I-E is necessary but not sufficient for the clonal deletion of V beta 11-bearing T cells

We have generated an mAb, RR3-15, that recognizes murine TCRs containing the V beta 11 domain. Using this antibody to stain peripheral T cells, we have demonstrated that V beta 11-bearing T cells are largely absent from strains of mice that express the class II MHC molecule, I-E. Studies with F1 mice demonstrate that this effect is dominant, consistent with tolerance. The clonal deletion of V beta 11- bearing T cells appears to occur intrathymically, as immature but not mature V beta 11+ T cells are present in the thymus of I-E-bearing mice. Examination of B6 x DBA/2 recombinant inbred strains demonstrates that the expression of I-E molecules is necessary for the clonal deletion of V beta 11-bearing T cells, but that other non-MHC genes control the clonal deletion process, as well. Paradoxically, only a small fraction of V beta 11+ T cell hybridomas are I-E reactive.
Network coding for high-reliability low-latency wireless control

The Internet of Things (IoT) envisions simultaneous sensing and actuation of numerous wirelessly connected devices. Emerging human-in-the-loop applications demand low-latency high-reliability communication protocols, paralleling the requirements for high-performance industrial control. This paper introduces a wireless communication protocol based on network coding that in conjunction with cooperative communication techniques builds the necessary diversity to achieve the target reliability. The proposed protocol, XOR-CoW, is analyzed by using a communication theoretic delay-limited-capacity framework and compared to different realizations of previously proposed protocols without network coding. The results show that as the network size or payload increases, XOR-CoW gains advantage in minimum SNR to achieve the target latency. For a scenario inspired by an industrial printing application with 30 nodes in the control loop, total information throughput of 4.8 Mb/s, 20MHz of bandwidth and cycle time under 2 ms, the protocol can robustly achieve a system probability of error better than 10-9 with a nominal SNR less than 2 dB with Rayleigh fading.
Studying Word Sketches for Russian

Without any doubt corpora are vital tools for linguistic studies and solution for applied tasks. Although corpora opportunities are very useful, there is a need of another kind of software for further improvement of linguistic research as it is impossible to process huge amount of linguistic data manually. The Sketch Engine representing itself a corpus tool which takes as input a corpus of any language and corresponding grammar patterns. The paper describes the writing of Sketch grammar for the Russian language as a part of the Sketch Engine system. The system gives information about a words collocability on concrete dependency models, and generates lists of the most frequent phrases for a given word based on appropriate models. The paper deals with two different approaches to writing rules for the grammar, based on morphological information, and also with applying word sketches to the Russian language. The data evidences that such results may find an extensive use in various fields of linguistics, such as dictionary compiling, language learning and teaching, translation (including machine translation), phraseology, information retrieval etc.
Adaptive Unpacking of Android Apps

More and more app developers use the packing services (or packers) to prevent attackers from reverse engineering and modifying the executable (or Dex files) of their apps. At the same time, malware authors also use the packers to hide the malicious component and evade the signature-based detection. Although there are a few recent studies on unpacking Android apps, it has been shown that the evolving packers can easily circumvent them because they are not adaptive to the changes of packers. In this paper, we propose a novel adaptive approach and develop a new system, named PackerGrind, to unpack Android apps. We also evaluate PackerGrind with real packed apps, and the results show that PackerGrind can successfully reveal the packers' protection mechanisms and recover the Dex files with low overhead, showing that our approach can effectively handle the evolution of packers.
Random coding error exponent for dual-hop nakagami-m fading channels with amplify-and-forward relaying

We derive the random coding error exponent for dual-hop transmission over Nakagami-m fading channels with amplify-and-forward relaying. This information-theoretic measure allows us to determine the capacity and cutoff rate as well as to gain valuable insight into the inherent tradeoff between the communication reliability and transmission rate in such channels.
Interdisciplinary Psychology and Law Training in Family and Child Mediation: An Empirical Study of the Effects on Law Student Mediators.

There is growing interest in interdisciplinary training programs for law students. The goal of these programs is to prepare law students for the real world interdisciplinary settings they will face in their careers. However, there exists little research to provide evidence of the utility of such training. This study examined the effectiveness of an interdisciplinary psychology and law training program on law students using a multi-method approach (i.e., knowledge tests and focus group discussion). Findings suggest that interdisciplinary training of law students increased law students' knowledge of law and psychology, was enjoyed by law students, and had a beneficial impact on law students' educational experience.
Towards a Method Family Supporting Information Services Co-Creation in the Transdisciplinary Context

Increasing popularity of the notion of service in the enterprise business and information systems development facilitates the creation of new types of inter-organizational and multidisciplinary collaboration and value co-creation. Simple exchange of services between organizations evolves into the co-creation of transdisciplinary services shared by all involved partners. In this paper the authors introduce the notion of transdisciplinarity and discuss how to support information services co-creation in this new context. For this purpose, they identify and explore four main principles communication, collaboration, co-innovation, and agility to be implemented in the transdisciplinary information services co-creation-the challenges that their implementation entails and the existing approaches and techniques that support their implementation. Finally, the authors propose a method family approach as a means to create new methods including a large variability of techniques and providing configuration mechanisms. In particular, this paper demonstrates how to create a method family providing a flexible and agile process model based on the transdisciplinarity principles and allowing to combine techniques and approaches from different disciplines in order to support collaborative creativity, modeling and development of transdisciplinary services.
Forecasting the usage of household appliances through power meter sensors for demand management in the smart grid

Electricity demand management mechanisms are expected to play a key role in smart grid infrastructures to reduce buildings power demand at peak hours, by means of dynamic pricing strategies. Unfortunately these kinds of mechanisms require the users to manually set a lot of configuration parameters, thereby reducing the usability of these solutions. In this paper we propose a system, developed within the BEE Project, for predicting the usage of household appliances in order to automatically provide inputs to electricity management mechanism, exactly in the same way a user could do. In our architecture we use a wireless power meter sensor network to monitor home appliances consumption. Data provided by sensors are then processed every 24 hours to forecast which devices will be used on the next day, at what time and for how long. This information represents just the input parameters required by load demand management systems, hence avoiding complex manual settings by the user.
Glycogen Synthase Kinase 3 Regulates N-Methyl-d-aspartate Receptor Channel Trafficking and Function in Cortical Neurons

Emerging evidence has suggested that glycogen synthase kinase 3 (GSK-3) is a key regulatory kinase involved in a plethora of processes in the nervous system, including neuronal development, mood stabilization, and neurodegeneration. However, the cellular mechanisms underlying the actions of GSK-3 remain to be identified. In this study, we examined the impact of GSK-3 on the N-methyl-d-aspartate (NMDA) receptor channel, a central player involved in cognitive and emotional processes. We found that application of various structurally different GSK-3 inhibitors caused a long-lasting reduction of NMDA receptor-mediated ionic and synaptic current in cortical pyramidal neurons. Cellular knockdown of GSK-3β in neuronal cultures with a small interfering RNA led to smaller NMDA receptor current and loss of its regulation by GSK-3 inhibitors. The NR2B subunit-containing NMDA receptor was the primary target of GSK-3, but the GSK-3 modulation of NMDAR current did not involve the motor protein kinesin superfamily member 17-based transport of NR2B-containing vesicles along microtubules. Combined electrophysiological, immunocytochemical, and biochemical evidence indicated that GSK-3 inhibitors induced the down-regulation of NMDAR current through increasing the Rab5-mediated and PSD-95-regulated NMDAR internalization in a clathrin/dynamin-dependent manner.
Mechanical properties of graphene nanoplatelet/epoxy composites

Due to their high specific stiffness, carbon-filled epoxy composites can be used in structural components in aircraft. Graphene nanoplatelets are short stacks of individual layers of graphite that are a newly developed, lower cost material that often increases the composite tensile modulus. In this work, researchers fabricated neat aerospace epoxy (EPON 862 with Curing Agent W) and 1 to 6 wt% of two different types of graphene nanoplatelets (XG Sciences xGnP®-M-5 and xGnP®-C-300) in epoxy composites. These materials were tested for tensile properties using typical macroscopic measurements. In addition, nanoindentation was used to determine modulus and creep compliance. The macroscopic measurements showed that the tensile modulus increased from 2.72 GPa for the neat epoxy to 3.35 GPa for 6 wt% (3.7 vol%) xGnP®-M-5/epoxy composite and 3.10 GPa for 6 wt% (3.7 vol%) xGnP®-C-300/epoxy composite. The modulus results from nanoindentation followed this same trend. xGnP®-C-300/epoxy composites had higher tensile strength and ductility compared to similar loading levels of xGnP®-M-5/epoxy composites. The creep compliance for the neat epoxy, 1 to 6 wt% xGnP®-M-5/epoxy composites, and 1 to 6 wt% xGnP®-C-300/epoxy composites were similar. The two dimensional randomly oriented filler Halpin-Tsai model adjusted for platelet filler shape predicts the tensile modulus well for the xGnP®-M-5/epoxy composites and the three-dimensional randomly oriented filler Halpin-Tsai model works well for the xGnP®-C-300/epoxy composites. Per the authors’ knowledge, mechanical properties and modeling for xGnP®-M-5 and xGnP®-C-300 in this epoxy system has never been reported in the open literature.