Miracle-dz/UniFAR-FTUs huggingface dataset:
X-ray diffraction: a powerful tool to probe and understand the structure of nanocrystalline calcium silicate hydrates

The structure of nanocrystalline calcium silicate hydrates (C-S-H) was studied using X-ray diffraction and literature data. It is proposed that C-S-H of Ca/Si ratio ranging between ∼ 0.6 and ∼ 1.7 can be described as nanocrystalline tobermorite affected by turbostratic disorder. The broadening and shift of the basal reflection positioned between ∼ 13.5 and ∼ 11.2 Å (depending on the Ca/Si ratio) arises from nanocrystallinity and possibly from an interstratification phenomenon.
Electrical Stimulation of the Antagonist Muscle during Cycling Exercise Interval Training Improves Oxygen Uptake and Muscle Strength.

A hybrid training system (HTS) is a resistance exercise method that combines voluntary concentric muscle contractions and electrically stimulated eccentric muscle contractions. We devised an exercise technique using HTS on cycle ergometer (HCE). The purpose of this study was to compare cardiorespiratory function and muscle strength when cycling exercise is combined with electrical stimulation over an extended period.Twenty-nine healthy young men were divided into an HCE group (n=14) and a VCE group (volitional cycle ergometer alone) (n=15). All subjects performed 30-min cycling exercise interval training sessions three times a week for six weeks.The VO2peak of both groups significantly increased compared to the pre-training period (HCE group: from 31.3±4.4(ml/kg/min) pre-training to 37.6±6.7(ml/kg/min) post-training (P=0.0024), and VCE group: from 34.0±7.1(ml/kg/min) pre-training to 38.4±8.2 (ml/kg/min) (P=0.0057)). After the training, there was no significant difference of changes in VO2peak between the HCE and the VCE groups (P=0.7107). In the VCE group the maximal isokinetic torque of knee extension (60°/sec) post training did not significantly increase compared to the pre-training period (VCE group: from2.4±0.5 (Nm/kg) pre-training to 2.5±0.4 (Nm/kg) (P=0.4543)). In contrast, in the HCE group the maximal isokinetic torque of knee extension (60°/sec) post training significantly increased compared to pre-training period (HCE group: from 2.5±0.3 (Nm/kg) pre-training to 2.8±0.3 (Nm/kg) (P<0.0001)). The change in knee extension torque was significantly greater for the HCE group than for the VCE group. In conclusion, cardiopulmonary function and knee extension strength were improved by the use of HCE.
A Signal Elevated CPW Line Using SU-8 Core for mm-wave Applications

This paper presents a thick Signal Elevated Coplanar Waveguide (SECPV) using SU-8 core to reduce substrate loss which is dominant in conventional CPIV lines at higher frequencies. A SECPW line has been fabricated over a glass substrate with copper as conductors. The measured line shows good RF performance with an insertion loss of 0.09 dB/mm and 0.32 dB/mm at 24 GHz and 50 GHz respectively, while the measured return loss is better than −18 dB throughout the spectrum with a measured time delay of 10.3 ps.
Numerical prediction of freezing fronts in cryosurgery: Comparison with experimental results

Recent developments in scientific computing now allow to consider realistic applications of numerical modelling to medicine. In this work, a numerical method is presented for the simulation of phase change occurring in cryosurgery applications. The ultimate goal of these simulations is to accurately predict the freezing front position and the thermal history inside the ice ball which is essential to determine if cancerous cells have been completely destroyed. A semi-phase field formulation including blood flow considerations is employed for the simulations. Numerical results are enhanced by the introduction of an anisotropic remeshing strategy. The numerical procedure is validated by comparing the predictions of the model with experimental results.
A new inverse-filtering technique for deriving the glottal air flow waveform during voicing.

A method is described for deriving the volume velocity waveform at the glottis during voiced speech by inverse‐filtering the volume velocity waveform at the mouth. Unlike the previously used technique of inverse‐filtering radiated acoustic pressure, this method provides a signal that is accurate down to zero frequency, not susceptible to low‐frequency noise, and easily calibrated in amplitude by a constant air flow. The primary limitation is the need for a transducer that will measure volume velocity at the mouth with adequate fidelity. In this work, volume velocity was recorded from a specially designed circumferentially vented wire screen pneumotachograph mask which provided a time resolution of 1/2 msec, without serious speech distortion. Inverse‐filtered volume velocity was recorded with two adult male subjects for voicing in the modal register. Typical results are shown which indicate the way in which the glottal waveform varied with changes of fundamental frequency, subglottal pressure, and a dimens.
Task analysis for groupware usability evaluation: Modeling shared-workspace tasks with the mechanics of collaboration

Researchers in Computer Supported Cooperative Work have recently developed discount evaluation methods for shared-workspace groupware. Most discount methods rely on some understanding of the context in which the groupware systems will be used, which means that evaluators need to model the tasks that groups will perform. However, existing task analysis schemes are not well suited to the needs of groupware evaluation: they either do not deal with collaboration issues, do not use an appropriate level of analysis for concrete assessment of usability in interfaces, or do not adequately represent the variability inherent in group work. To fill this gap, we have developed a new modeling technique called Collaboration Usability Analysis. CUA focuses on the teamwork that goes on in a group task rather than the taskwork. To enable closer links between the task representation and the groupware interface, CUA grounds each collaborative action in a set of group work primitives called the mechanics of collaboration. To represent the range of ways that a group task can be carried out, CUA allows variable paths through the execution of a task, and allows alternate paths and optional tasks to be modeled. CUA's main contribution is to provide evaluators with a framework in which they can simulate the realistic use of a groupware system and identify usability problems that are caused by the groupware interface.
Construction of Conceptual Graph Representation of Texts

This paper describes a system for constructing conceptual graph representation of text by using a combination of existing linguistic resources (VerbNet and WordNet). We use a two-step approach, by firstly identifying the semantic roles in a sentence, and then using these roles, together with semi-automatically compiled domain-specific knowledge to construct the conceptual graph representation.
Emotion estimation of physiological signals by using low power embedded system

Emotions are an essential and productive aspect of human thought or action and human thought is inherently emotional. Emotions are factors which vary as mood varies. When person experience different emotions then there is also change in physiological signals in human body and with this variation comes in different parameters like skin conductance(GSR), heart rate(HRV), brain waves (EEG), muscle tension, blood volume pulse(BVP), temperature and respiration. Emotional coefficients are sensed by these parameters. By using EI (Emotional Intelligence) we can experience ability to identify, access and can control emotion of our self or others. This factor is high in magnitude. In some magnitude when person experiencing emotion they face different factors. As some gets completely concealed, some gets diverted and some don’t express themselves by hiding their emotion in real world. The main objective of this paper is to design and develop a system through which we can measure the tension level of a person perceived by portable and cost effecting embedded system using MSP430F2013.Focusing parameters are GSR, BVP, EEG and Temperature. Their variations are discovered to conclude the emotional state of the subject (person) by low power device
Metacognition-augmented cognitive remediation training reduces jumping to conclusions and overconfidence but not neurocognitive deficits in psychosis

The majority of patients with schizophrenia display neurocognitive deficits (e.g., memory impairment) as well as inflated cognitive biases (e.g., jumping to conclusions). Both cognitive domains are implicated in the pathogenesis of the disorder and are known to compromise functional outcome. At present, there is a dearth of effective treatment options. A total of 90 patients with schizophrenia were recruited online (a diagnosis of schizophrenia had been confirmed in a large subgroup during a previous hospital admission). Subsequent to a baseline assessment encompassing psychopathology, self-reported cognition as well as objective memory and reasoning tests, patients were randomized to one of three conditions: standard cognitive remediation (mybraintraining), metacognition-augmented cognition remediation (CR) condition (variant of mybraintraining which encouraged patients to reduce speed of decision-making and attenuate response confidence when participants made high-confidence judgements and hasty incorrect decisions) and a waitlist control group. Patients were retested after 6 weeks and again 3 months after the second assessment. Groups did not differ on psychopathology and neurocognitive parameters at any timepoint. However, at follow-up the metacognitive-augmented CR group displayed a significant reduction on jumping to conclusions and overconfidence. Treatment adherence correlated with a reduction of depression; gains in the training exercises from the standard mybraintraining condition were correlated with improved objective memory performance. The study suggests that metacognition-augmented CR may ameliorate cognitive biases but not neurocognition. The study ties in well with prior research showing that neurocognitive dysfunctions are rather resistant to change; the failure to detect significant improvement of CR or metacognition-augmented CR on psychopathology and neurocognition over time may partly be attributed to a number of methodological limitations of our study (low psychopathology and chronicity of participants, low “dosage,” narrow range of tests, self-report psychopathology scales).
Emptying, refurnishing, and relighting indoor spaces

Visualizing changes to indoor scenes is important for many applications. When looking for a new place to live, we want to see how the interior looks not with the current inhabitant's belongings, but with our own furniture. Before purchasing a new sofa, we want to visualize how it would look in our living room. In this paper, we present a system that takes an RGBD scan of an indoor scene and produces a scene model of the empty room, including light emitters, materials, and the geometry of the non-cluttered room. Our system enables realistic rendering not only of the empty room under the original lighting conditions, but also with various scene edits, including adding furniture, changing the material properties of the walls, and relighting. These types of scene edits enable many mixed reality applications in areas such as real estate, furniture retail, and interior design. Our system contains two novel technical contributions: a 3D radiometric calibration process that recovers the appearance of the scene in high dynamic range, and a global-illumination-aware inverse rendering framework that simultaneously recovers reflectance properties of scene surfaces and lighting properties for several light source types, including generalized point and line lights.
Autoantibody to a nuclear antigen in proliferating cells.

This study reports the identification of an autoantibody in the sera of some patients with systemic lupus erythematosus that reacted with nuclear antigen(s) of proliferating cells. The autoantibody was initially detected by the observation that it did not react in immunofluorescence with nuclei of renal tubular or glomerular cells, nor with hepatic parenchymal cells, but only reacted with scattered cells in the interstitial tissue of these two organs. In contrast, many lymphocytes in lymph node follicles, spleen, and thymus reacted with this antinuclear antibody. Normal peripheral blood lymphocytes did not show nuclear staining but after mitogenic stimulation, 20% of cells became positive. Nuclear staining was not restricted to lymphocytes but was also observed in several tissue culture cells lines such as Hep-2 cells (human epithelial carcinoma), Ehrlich ascites tumor cells, and baby hamster kidney cells. The reactive nuclear antigen(s) was soluble in physiologic saline and reacted with serum autoantibody to give a precipitin line in immunodiffusion that was immunologically distinct from DNA and other known nuclear antigen-antibody precipitating systems. Autoantibodies to proliferating cell nuclear antigen(s) might serve as useful biologic markers to study stimulated lymphocytes and other proliferating cells.
Media Studies and the Mainstreaming of Media History

Michael Schudson and James Curran have recently pointed out that media history has not developed as a major, mainstream scholarly field. According to Schudson, ‘few historians or political and social theorists have reflected at length on news as an institution. [j]ournalism simply never became a major topic of study among historians or social scientists’ [1]. Similarly, while identifying six distinct approaches to analysing the role of the media in the making of modern British society, Curran asserts that ‘if media historians labour in the shadows, they are themselves partly to blame’ because of their often narrowly specialized scholarship [2]. In the British case, part of the difficulty is a paucity of synthetic works. From a specialist historian’s perspective, it is not always clear what the terms of debate are. An article in Media History is just as likely to engage with a political or social historiography as any bigpicture media history debates*/in itself, not an undesirable development, but also not conducive to creating a sense of what, exactly, ‘media history’ is. For a ‘mainstream’ political or social historian, the field of media history can only be bewildering; at least until recently, a historian of, say, nineteenth-century British
Wireless sensor networks for in-home healthcare: issues, trend and prospect

As the world's population ages, those suffering from diseases of the elderly will increase. The health care expenditures will increase rapidly and become non-affordable for the governments around the world. New technology and new model for patient healthcare must be found to relieve the pressure of finance and society. In-home pervasive networks may assist residents by providing memory enhancement, control of home appliances, medical data lookup, and emergency communication. Cooperation between wireless sensor networks and existing consumer electronic infrastructures can assist in the areas of health care and patient monitoring. This will improve the quality of life of patients, provide early detection for certain ailments, and improve doctor-patient efficiency. In this paper we detail some basal concepts of wireless sensor network first. The possible security issues, privacy issues and legal issues are argued at the second part. The prospect and function of next generation smart homecare based on wireless senor network will be shown at the last part.
INSET participation and certification: a case study from China

Abstract This article aims to explore practical constraints that prevent teachers from participating in INSET courses for their continuing professional development. This study, from the course clients' perspectives, examines the points of view of the teacher trainees and administrators involved in a teacher-training course in China. Questionnaires and interviews were employed to gather data. The findings indicate the importance of appreciating both teachers' concerns as individuals and administrators' practical considerations that, if ignored, could lead to the undermining of the overall quality of training. It is argued that in-service teacher training can be maximised on the condition that a society-wide supportive mechanism is established that ensures smooth coordination between the various levels concerned
Relation of size and activity of motor cortex pyramidal tract neurons during skilled movements in the monkey

Activity of motor cortex pyramidal tract neurons (PTNs) was recorded in monkeys making large (20 degrees), high velocity and small (1 to 2 degrees), low velocity pronation-supination arm movements in a visual pursuit-tracking paradigm. Antidromic response latencies (ADLs) or PTNs were examined in relation to PTN modulation with the large and small movements to test the hypothesis that PTNs would exhibit a “size principle” analogous to that of spinal cord motoneurons. It was found that smaller PTNs (i.e., those having longer ADLs) discharged just as strongly with small, slow movements as with large, fast movements, while about one-third of the larger PTNs (even those selected for a significant relation to small movement) discharged more intensely with the large movement. Another analysis dealing with PTNs in a selected set of penetrations in an area focal for pronation-supination showed that PTNs with longer ADLs (greater than 1 msec) were more likely to reach maximum frequency with small, slow movement. There was, however, much overlap in the behavior of small and large PTNs, and while there was a statistically significant relation between size and movement- related activity of PTNs, there did not seem to be a “size principle” in the strict sense that this term has been used with reference to spinal cord motoneurons.
A synthesized sampling approach for improving the prediction of imbalanced classification

Imbalanced dataset is an important factor influencing the effect of learning algorithms. Its influence on the classification learner is even more universal. To deal with imbalanced classification problem, sampling strategy is always an efficient method, however some other aspects of this strategy need to be solved. What distribution should be regulated among the classes and within the class? Which sampling strategy, over-sampling or under-sampling, is more acceptable in specific issues? What metric should be used to measure the classification results? In this paper we propose a general rule to select sampling strategy and design a novel metric V-measure, putting more attention to the minority. As for the distribution between the classes our choice of them is based on the standard whether the selected distribution will lead to significant improvement of the evaluation criteria.
Brain serotonin after experimental vascular occlusion

Unilateral ligation of a common carotid artery in gerbils causes a decreased rate of serotonin synthesis and degradation but an increased release of this monoamine. In the brain, reduction of cerebral serotonin content during ischemia is followed by accumulation of its main metabolite, 5-hydroxyindolacetic acid. These data support the contention that serotonin plays an important role in the progression of cerebral infarction.
Unraveling the Mystery of NVIDIA's Unified Memory for Safety-Critical GPU Systems

In the domain of safety-critical systems there is an increasing need for more compute-capable and higher performance devices. This comes from the dramatic increase on the software complexity caused by the newest intelligent and autonomous systems. Graphics Processing Units (GPUs), as multi-processing accelerators, are an ideal choice in this aspect due to their ability to handle big amount of data and computations. In order to ease the challenging task of programming such devices, vendors are continuously adding features, such as Unified Memory (UM), which allow the programmers to reduce their developing time on GPU applications. However, the use of GPU poses several challenges on safety-critical systems due to its close source nature and proprietary implementation. Therefore, this paper shows a deeper insight on how this feature works and present a way of exploiting this knowledge to reduce the execution time of applications using NVIDIA's UM feature. We demonstrate that these optimizations can make the data migrations predictable and reduce the required time.
Deep Joint Source-Channel Coding with Optimal Compression Rate for mmWave Mobile Image Transmission

Deep joint source-channel coding is a promising solution for wireless image transmission systems because it can jointly optimize image compression and channel coding functionalities based on the actual image domain knowledge. However, the existing works ignore the time-selective fading effect which is a key characteristic of mobile image transmission systems. The paper, therefore, investigates a compression method to deal with the time-selective fading effect. Further, we analyze the optimal compression rate and show that the deep joint source-channel coding with optimal compression rate improves the image quality by up to 5.26 dB.
Making a postgraduate journal club an effective learning opportunity: Experience from the Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi.

INTRODUCTION A journal club (JC) is defined as a group of individuals who meet regularly to critically discuss the applicability of current peerreviewed articles published in medical journals. The memoirs of Sir James Paget, a surgeon at St Bartholomew’s Hospital, London, UK (1835–54), contain the earliest mention of a JC. Sir Paget described ‘a kind of club in a small room over a baker’s shop near the hospital gate where we could sit and read journals and play cards’. There is evidence of the existence of the first formal JC in 1875, when William Osler of McGill University, Montréal, Canada found a way of making expensive periodicals affordable by purchasing expensive journals with fellow students at a group rate.
Collaborative Misbehaviour Response System for Improving Road Safety

Wrong-way driving (WWD), Driver Monitoring System (DMS), and parking violations pose significant threats to road safety. To address these challenges, we propose a collaborative misbehavior response system (MBR) that generates real-time, context-aware navigation recommendations to the nearest available parking spot. The MBR integrates individual misbehavior detection systems(MBDs) for a holistic approach to road safety and leverages Kafka and Avro for efficient communication under the 5GMETA Platform.
Vehicle Dimensional Measurement with RGB-D Camera

Vehicle dimensional measurement is crucial for road over-limit detection. As existing methods can not balance price, accuracy, and time complexity, we propose a low-cost, accurate, and real-time method for measuring vehicle dimensions using an RGB-D camera priced at 499 dollars. The proposed method builds the ground background model from a series of video frames and uses ground point cloud and lane information to self-calibrate the camera's extrinsic parameters. Subsequently, using the self-calibrated results, the vehicle point cloud in the current frame is transformed into the measurement coordinate system to facilitate accurate measurement. Finally, we measure the dimensions of the entire vehicle by combining the vehicle displacement, local width, and local height across multiple frames. By evaluating three different types of vehicles, the results show that the average error is less than 3.3% for length and less than 2% for width and height, indicating high accuracy. Furthermore, our method achieves real-time performance with each frame processed in less than 30 milliseconds.