Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of anti-EGFR agents in patients with locoregionally advanced head and neck cancer: a meta-analysis of randomized trials

There has been a debate over whether the addition of anti-epidermal growth factor receptor (EGFR) agents to the conventional treatments has beneficial effects in patients with head and neck squamous cell carcinoma (HNSCC). This meta-analysis was performed to investigate the role of anti-EGFR agents in patients with locoregionally advanced HNSCC (LA-HNSCC). A systematic search of the electronic databases was carried out. From eight randomized controlled trials, 2,263 patients were included in the meta-analysis. Compared with chemoradiotherapy (CRT), the addition of an EGFR inhibitor to radiotherapy (RT) or CRT did not improve locoregional control (hazard ratio (HR) = 1.19 [95% confidence interval (CI): 0.99–1.42], P = 0.06), progression-free survival (HR = 1.07 [95% CI: 0.92–1.24], P = 0.37), and overall survival (HR = 1.04 [95% CI, 0.88–1.23], P = 0.65) in patients with LA-HNSCC. Moreover, the addition of anti-EGFR agents increased the risk of skin toxicities (odds ratio = 4.04 [95% CI: 2.51–6.48], P < 0.00001) and mucositis (odds ratio = 1.58 [95% CI: 0.99–2.52], P = 0.06). In conclusion, this meta-analysis indicates that the addition of an anti-EGFR agent to RT or CRT do not improve clinical outcomes compared with CRT in patients with LA-HNSCC. Except for patients with coexisting medical conditions or decreased performance status, concurrent CRT should remain the standard of care for patients with LA-HNSCC.
Complex Multivariate Sexual Selection on Male Acoustic Signaling in a Wild Population of Teleogryllus commodus

Mate choice may impose both linear (i.e., directional) and nonlinear (i.e., quadratic and correlational) sexual selection on advertisement traits. Traditionally, mate recognition and sensory tuning have been thought to impose stabilizing (i.e., negative quadratic) sexual selection, whereas adaptive mate choice effects directional selection. It has been suggested that adaptive choice may exert positive quadratic and/or correlational sexual selection. Earlier, we showed that five structural components of the advertisement call of male field crickets (Teleogryllus commodus) were under multivariate stabilizing selection under laboratory conditions. Here we experimentally estimate selection on these five traits plus a measure of calling activity (the number of repeats in a looped bout of calling) in the field. There was general support for multivariate stabilizing selection on call structure, and calling activity was under strong positive directional selection, as predicted for a signal of genetic quality. There was, however, also appreciable correlational selection, suggesting an interaction between male call structure and calling effort. Interestingly, selection for short interbout durations of silence favored longer intercall durations in the field, in contrast to results from continuous looped call playback in the laboratory. We discuss the general importance of nonlinear selection in the honest signaling of genetic quality.
Finite Element Analysis of Temperature Induced Stresses and Deformations of Polymer Composite Components

Due to the heterogeneous nature of composite materials, residual stresses build up during manufacture of composite products. Such stresses can change the final shape of a component from the tool shape. Temperature induced stresses and deformations of thick cylindrical parts have been studied by a number of researchers using analytical approaches. However these approaches cannot solve a thick composite component with arbitrary geometry. Finite-element-method (FEM) analysis was conducted in this study using ABAQUS. Mechanical and thermal properties of composite materials were determined through microstructure analysis. Different element types were compared with respect to their prediction accuracy. The technique of application of FEM is discussed in the paper. Spring-in values of 90° angles with varying curvature at the corner are predicted. Reasonably good agreement between the prediction and the measurement is achieved.
Exploring Foraging Decisions in a Social Primate Using Discrete-Choice Models

There is a growing appreciation of the multiple social and nonsocial factors influencing the foraging behavior of social animals but little understanding of how these factors depend on habitat characteristics or individual traits. This partly reflects the difficulties inherent in using conventional statistical techniques to analyze multifactor, multicontext foraging decisions. Discrete-choice models provide a way to do so, and we demonstrate this by using them to investigate patch preference in a wild population of social foragers (chacma baboons Papio ursinus). Data were collected from 29 adults across two social groups, encompassing 683 foraging decisions over a 6-month period and the results interpreted using an information-theoretic approach. Baboon foraging decisions were influenced by multiple nonsocial and social factors and were often contingent on the characteristics of the habitat or individual. Differences in decision making between habitats were consistent with changes in interference-competition costs but not with changes in social-foraging benefits. Individual differences in decision making were suggestive of a trade-off between dominance rank and social capital. Our findings emphasize that taking a multifactor, multicontext approach is important to fully understand animal decision making. We also demonstrate how discrete-choice models can be used to achieve this.
A Day Awake Attenuates Motor Learning-Induced Increases in Corticomotor Excitability

The “synaptic homeostasis hypothesis” proposes that the brain’s capacity to exhibit synaptic plasticity is reduced during the day but restores when sleeping. While this prediction has been confirmed for declarative memories, it is currently unknown whether it is also the case for motor memories. We quantified practice-induced changes in corticomotor excitability in response to repetitive motor sequence training as an indirect marker of synaptic plasticity in the primary motor cortex (M1). Subjects either practiced a motor sequence in the morning and a new motor sequence in the evening, i.e., after a 12 h period of wakefulness (wake group); or they practiced a sequence in the evening and a new sequence in the morning, i.e., after a 12 h period including sleep (sleep group). In both wake and sleep groups motor training improved movement performance irrespective of the time of day. Learning a new sequence in the morning triggered a clear increase in corticomotor excitability suggesting that motor training triggered synaptic adaptation in the M1 that was absent when a new sequence was learned in the evening. Thus, the magnitude of the practice-induced increase in corticomotor excitability was significantly influenced by time of day while the magnitude of motor performance improvements were not. These results suggest that the motor cortex’s potential to efficiently adapt to the environment by quickly adjusting synaptic strength in an activity-dependent manner is higher in the morning than in the evening.
Suppression of Emotional and Nonemotional Content in Memory

Two experiments utilized a think/no-think paradigm to examine whether cognitive control of memories differs depending on whether they contain information with negative or neutral emotional content. During a training phase, participants learned face-word pairs (Experiment 1) or face-picture pairs (Experiment 2). In a subsequent experimental phase, participants were shown faces and told to think of the items paired with some of the faces and to try not to think of the items paired with other faces. Finally, in a test phase, participants were again shown each face and asked to recall the item with which it had been paired previously. Results for both verbal (Experiment 1) and nonverbal (Experiment 2) items indicated that the facilitatory and inhibitory influences of cognitive control were larger for negative than neutral items.
Substance Flow Analysis of Indium in Taiwan

As indium is an economically important and a limited resource, a better understanding of domestic indium flow in each country is needed. In this study, fate and management of indium in Taiwan, particularly in the manufacturing of light-emitting diode (LED) and thin film transistorLCD for the year 2011, was carried out using a substance flow analysis (SFA). It was found out that the total consumption of indium by these two products in 2011 was around 271 t-In; out of which, 266 t-In was imported. However, only 10% of this indium was found in the products, and therefore 90% was a potential indium waste. Among these wastes, 53% was treated and recovered outside Taiwan and 47% was domestically recovered. This indicates that the management and recovery technology of indium is of paramount importance in view of the security of indium supply and Taiwan environmental sustainable development. [doi:10.2320/matertrans.M2015165]
Prevention of laboratory animal allergy.

BACKGROUND Laboratory animal allergy (or LAA) is an important threat to the occupational health of those who work with rats, mice and other species. AIM This review examines the risk factors for LAA and the effectiveness of control measures. METHODS A literature review was performed. RESULTS An extensive literature was identified regarding LAA and the use of control measures. The contribution that these measures can make to the overall effectiveness of an occupational health and safety programme is discussed in the context of the literature currently available. CONCLUSION The incidence of this disease can be reduced by effective, integrated health risk management, with the conscientious use of engineering, procedural and personal control measures.
Management of Cardiopulmonary Complications of Cirrhosis

Advanced portal hypertension accompanying end-stage liver disease results in an altered milieu due to inadequate detoxification of blood from splanchnic circulation by the failing liver. The portosystemic shunts with hepatic dysfunction result in an increased absorption and impaired neutralisation of the gastrointestinal bacteria and endotoxins leads to altered homeostasis with multiorgan dysfunction. The important cardiopulmonary complications are cirrhotic cardiomyopathy, hepatopulmonary syndrome, portopulmonary hypertension, and right-sided hydrothorax.
Unmixing Molecular Agents From Absorbing Tissue in Multispectral Optoacoustic Tomography

Detection of intrinsic or extrinsically administered chromophores and photo-absorbing nanoparticles has been achieved by multi-spectral optoacoustic tomography (MSOT). The detection sensitivity of MSOT depends not only on the signal to noise ratio considerations, as in conventional optoacoustic (photoacoustic) tomography implementations, but also on the ability to resolve the molecular targets of interest from the absorbing tissue background by means of spectral unmixing or sub-pixel detection methods. However, it is not known which unmixing methods are optimally suited for the characteristics of multispectral optoacoustic images. In this work we investigated the performance of different sub-pixel detection methods, typically used in remote sensing hyperspectral imaging, within the context of MSOT. A quantitative comparison of the different algorithmic approaches was carried out in an effort to identify methods that operate optimally under the particulars of molecular imaging applications. We find that statistical sub-pixel detection methods can demonstrate a unique detection performance with up to five times enhanced sensitivity as compared to linear unmixing approximations, under the condition that the optical agent of interest is sparsely present within the tissue volume, as common when using targeted agents and reporter genes.
Dependable Autonomic Cloud Computing with Information Proxies

Autonomic computing systems promise to manage themselves on a set of basic rules specified to higher level objectives. One of the challenges in making this possible is {em dependable collaboration} among peers in a large-scale network. Effective maintenance of next generation distributed systems, such as clouds and second generation grids, will be nearly impossible without autonomic computing, with ever increasing scale of such systems. In addition, due to the nature of autonomous clouds to form administrative boundaries, dependable collaboration becomes a much harder problem. Employing information proxies may help improve such collaboration in existence of administrative boundaries. Although a general proxy definition can refer to many contexts, we focus on such proxies for dependable collaboration for distributed resource scheduling. Our definition of information proxies, and the particular areas we make use of them mainly contribute to the {em self-configuring} and {em self-optimizing} fundamentals of the autonomic computing paradigm in general. By simulation, we show that information proxies help improve resource scheduling decisions that support large-scale autonomic computing systems.
Human hypertrophic scar‐like nude mouse model: Characterization of the molecular and cellular biology of the scar process

Hypertrophic scar (HTS) following thermal injury and other forms of trauma is a dermal fibroproliferative disorder that leads to considerable morbidity. Because of the lack of an ideal animal model, research is difficult. We have established an HTS model that involves transplanting human split‐thickness skin graft (STSG) or full‐thickness skin graft (FTSG) onto the backs of nude mice. The animals developed raised, firm, and reddish scars 2 months following transplantation. Histology and micromeasurement indicate raised, thickened engrafted skin with STSG and FTSG. In contrast, thickening was not observed with full‐thickness rat skin grafts used as controls. Masson's trichrome staining demonstrates increased accumulations of collagen fibrils in the dermis in both scars grafted with STSG and FTSG. Staining cells with toludine blue and an antibody for F4/80 showed an increase in the infiltration of mast cells and macrophages. Quantification of fibrocytes reveals increased fibrocytes. Moreover, STSG grafted skin had significantly more macrophages, mast cells, and fibrocytes than FTSG. Real‐time polymerase chain reaction analysis showed significantly elevated mRNA levels for type I collagen, transforming growth factor‐β, connective tissue growth factor and heat shock protein 47 in both types of engrafted skin. These data demonstrate that human skin grafted onto nude mice develops red raised and thickened scars having intrinsic properties that closely resemble HTS formation as seen in humans. Interestingly, STSG developed more scar than FTSG. Furthermore, inflammatory cells and bone marrow‐derived fibrocytes may play a critical role in HTS development in this animal model.
Magnifying subtle facial motions for 4D Expression Recognition

In this paper, we propose an effective approach for automatic 4D Facial Expression Recognition (FER). The flow of 3D facial scans is first modeled to capture spatial deformations based on the recently-developed Riemannian approach, namely Dense Scalar Fields (DSF), where registration and comparison of neighboring 3D face frames are jointly led. The deformations are then fed into a temporal filtering based magnification step to amplify the slight facial actions over time. The proposed method allows revealing subtle (hidden) deformations which enhances the performance in classification. We evaluate our approach on the BU-4DFE dataset, and the state-of-art accuracy up to 94.18% is achieved, which is superior to the top one so far reported, clearly demonstrating its effectiveness.
Identifying targets for quality improvement in hospital antibiotic prescribing.

OBJECTIVES To audit antibiotic use in a university hospital and to identify targets for quality improvement in a setting with low antibiotic use and resistance rates. METHODOLOGY A point-prevalence survey (PPS), using a patient-based audit tool for antibiotic use, was executed in the Radboud University Medical Centre in May 2013. On one index day, all patients on systemic antibiotics hospitalised > 24 hours were included. Data regarding antibiotic prescriptions were extracted from the medical records. Multiple logistic regression analysis was performed in order to predict whether a variable was associated with low guideline compliance or a low rate of consulting an infectious disease specialist. RESULTS 428 hospitalised patients were included, of whom 40.9% received antibiotics. Overall, 75.7% of all prescriptions were compliant with the guidelines in place and for 87.8% the reason for prescription was documented. Amoxicillin/clavulanic acid (OR = 4.08, 95% CI 1.57-10.56), and respiratory tract infections (RTI) (OR = 6.17, 95% CI 2.55-14.94) were associated with low compliance with guidelines. An infectious disease physician or medical microbiologist was less often consulted for empirical therapy (OR 23.21, 95% CI 6.37-84.51) or empirical therapy continued > 72 hours (OR 14.69, 95% CI 3.56-60.56) compared with prescriptions that were based on culture results. In addition, fewer consultations were requested for RTI (OR 4.47, 95% CI 1.39-14.35). CONCLUSION A PPS is a good tool to identify targets for antibiotic stewardship in routine clinical practice. Several areas for improvement, such as a low compliance with guidelines for amoxicillin/clavulanic acid and RTI, and a low rate of consulting an infectious disease physician or medical microbiologist concerning antibiotic therapy in case of RTI and empirical therapy continued > 72 hours were identified.
Is ICT a Lever for Educational Change? A Study of the Impact of ICT Implementation on Teaching and Learning in Hong Kong

The ongoing, unprecedented growth of ICT, coupled with the globalisation of the econ- omy, has created a huge challenge for education. This rapid growth of infusing ICT in education is confronting stakeholders with the effectiveness and the impact of these technological applications. This paper explores the impact of ICT implementation on Hong Kong classroom practice since the inception of the government IT initiatives with particular emphasis on teachers' perceived changes in teaching and learning, and how it interacts with a variety of contextual factors such as leadership and school climate. To deepen our understanding of how ICT acts as a lever to bring about changes in student learning, this study also relates changes in learning to various factors like frequency and types of ICT tools used in classroom teaching, and the kinds of instructional strategies. It is hoped that the findings will inform educational practitioners and researchers of the emerging pedagogical practices with ICT.
Flow Cytometric Detection of Minimal Residual Disease in Acute Lymphoblastic Leukemia

Abstract Assessment of minimal residual disease (MRD) during the first months of therapy gives information on the timely response to treatment, and proves to be a powerful and independent indicator of treatment outcome in patients with acute lymphoblastic leukemia (ALL). Immunological evaluation by flow cytometry (FCM) is one of the most attractive approaches to this. The present review summarizes the historical development of this approach over the last 20 years, and shows that current methodology is based on the existence of leukemia-associated patterns of derangement in antigen expression with respect to normal differentiation or location of occurrence. Recent clinical studies are summarized which proved that FCM is applicable to more than 90% of patients with ALL and gives prognostic information comparable to polymerase chain-reaction (PCR)-based technology. Ongoing efforts based on parallel application of both technologies are explained which are designed to clarify which approach bears the best cost-relevance ratio in order to be broadly used in the future for risk assessment and tailoring of treatment modalities. Concluding perspectives relate to further technical developments like usage of peripheral blood (PB) instead of bone marrow (BM), absolute quantification, or strategic placement of investigative time-points, which may allow to simplify the MRD approach and thus augment it's economic efficiency.
Mechanical, Dielectric, and Actuated Strain of Silicone Elastomer Filled with Various Types of TiO2

This paper presents a comprehensive study of the effects of titanium dioxide (TiO2) on the dielectric, mechanical, and electromechanical properties of a silicone elastomer. The silicone/TiO2 composite films exhibited, in comparison with pure silicone, a steadily improvement of dielectric constant and elastic modulus with the augment of TiO2 particles. A transverse planar strain of 18% with pre-strain of 5% at 50V/μm was obtained, which was 50% higher than the corresponding value generated with the pure silicone. The practical actuated strain was lower than the theoretical, and it was well explained.
This Ain't Your Dose: Sensor Spoofing Attack on Medical Infusion Pump

Sensors measure physical quantities of the environment for sensing and actuation systems, and are widely used in many commercial embedded systems such as smart devices, drones, and medical devices because they offer convenience and accuracy. As many sensing and actuation systems depend entirely on data from sensors, these systems are naturally vulnerable to sensor spoofing attacks that use fabricated physical stimuli. As a result, the systems become entirely insecure and unsafe. In this paper, we propose a new type of sensor spoofing attack based on saturation. A sensor shows a linear characteristic between its input physical stimuli and output sensor values in a typical operating region. However, if the input exceeds the upper bound of the operating region, the output is saturated and does not change as much as the corresponding changes of the input. Using saturation, our attack can make a sensor to ignore legitimate inputs. To demonstrate our sensor spoofing attack, we target two medical infusion pumps equipped with infrared (IR) drop sensors to control precisely the amount of medicine injected into a patients' body. Our experiments based on analyses of the drop sensors show that the output of them could be manipulated by saturating the sensors using an additional IR source. In addition, by analyzing the infusion pumps' firmware, we figure out the vulnerability in the mechanism handling the output of the drop sensors, and implement a sensor spoofing attack that can bypass the alarm systems of the targets. As a result, we show that both over-infusion and under-infusion are possible: our spoofing attack can inject up to 3.33 times the intended amount of fluid or 0.65 times of it for a 10 minute period.