Miracle-dz/UniFAR-FTUs huggingface dataset:
Odorant-Binding Proteins as Sensing Elements for Odour Monitoring

Odour perception has been the object of fast growing research interest in the last three decades. Parallel to the study of the corresponding biological systems, attempts are being made to model the olfactory system with electronic devices. Such projects range from the fabrication of individual sensors, tuned to specific chemicals of interest, to the design of multipurpose smell detectors using arrays of sensors assembled in a sort of artificial nose. Recently, proteins have attracted increasing interest as sensing elements. In particular, soluble olfaction proteins, including odorant-binding proteins (OBPs) of vertebrates and insects, chemosensory proteins (CSPs) and Niemann-Pick type C2 (NPC2) proteins possess interesting characteristics for their use in sensing devices for odours. In fact, thanks to their compact structure, their soluble nature and small size, they are extremely stable to high temperature, refractory to proteolysis and resistant to organic solvents. Moreover, thanks to the availability of many structures solved both as apo-proteins and in complexes with some ligands, it is feasible to design mutants by replacing residues in the binding sites with the aim of synthesising proteins with better selectivity and improved physical properties, as demonstrated in a number of cases.
Relative Selectivity of Plant Cardenolides for Na+/K+-ATPases From the Monarch Butterfly and Non-resistant Insects

A major prediction of coevolutionary theory is that plants may target particular herbivores with secondary compounds that are selectively defensive. The highly specialized monarch butterfly (Danaus plexippus) copes well with cardiac glycosides (inhibitors of animal Na+/K+-ATPases) from its milkweed host plants, but selective inhibition of its Na+/K+-ATPase by different compounds has not been previously tested. We applied 17 cardiac glycosides to the D. plexippus-Na+/K+-ATPase and to the more susceptible Na+/K+-ATPases of two non-adapted insects (Euploea core and Schistocerca gregaria). Structural features (e.g., sugar residues) predicted in vitro inhibitory activity and comparison of insect Na+/K+-ATPases revealed that the monarch has evolved a highly resistant enzyme overall. Nonetheless, we found evidence for relative selectivity of individual cardiac glycosides reaching from 4- to 94-fold differences of inhibition between non-adapted Na+/K+-ATPase and D. plexippus-Na+/K+-ATPase. This toxin receptor specificity suggests a mechanism how plants could target herbivores selectively and thus provides a strong basis for pairwise coevolutionary interactions between plants and herbivorous insects.
Sleep deprivation enhances inter-stimulus interval effect on vigilant attention performance

Study Objective Sleep deprivation significantly reduces the ability to maintain a consistent alertness level and impairs vigilant attention. Previous studies have shown that longer inter-stimulus interval (ISI) are associated with faster reaction times (RTs) on the Psychomotor Vigilance Test (PVT). However, whether and how sleep deprivation interacts with this ISI effect remains unclear. Methods N = 70 healthy adults (age range 20-50 years, 41 males) participated in a 5-day and 4-night in-laboratory controlled sleep deprivation study, including N = 54 in the experimental group with one night of total sleep deprivation and N = 16 in the control group without sleep loss. All participants completed a neurobehavioral test battery every 2 hours while awake, including a 10-minute standard PVT (PVT-S, N = 1626) and a 3-minute brief PVT (PVT-B, N = 1622). The linear approach to threshold with ergodic rate (LATER) model was used to fit the RT data. Results RT decreased significantly with longer ISI on the PVT-S and PVT-B. Increased ISI effect was found for both PVT-S and PVT-B during sleep deprivation compared to baseline or recovery sleep in the experimental group, whereas no differences in the ISI effect were found in the control group. The LATER model fitting indicated that changes in perceptual sensitivity rather than threshold adjustment may underlie the ISI effect. Conclusions Both standard and brief PVT showed a similar ISI effect on vigilant attention performance. Sleep deprivation increased the ISI effect on both PVT-S and PVT-B, which may be due to impaired temporal resolution and time estimation after sleep loss.
Continuation of trastuzumab beyond progression in HER2-positive advanced esophagogastric cancer: a meta-analysis

Abstract Introduction: After progression on first-line trastuzumab-based therapy, no HER2-targeted agent is available for patients with HER2-positive esophagogastric cancer. However, continuation of trastuzumab after progression is an established strategy in HER2-positive breast cancer. We conducted a meta-analysis to investigate whether continuation of trastuzumab beyond first-line therapy in combination with chemotherapy is more effective compared to chemotherapy-alone. Methods: PubMed, EMBASE, CENTRAL and meeting abstracts from ASCO and ESMO were searched up to June 2018 for studies (any design) investigating second-line trastuzumab plus chemotherapy compared to chemotherapy-alone for patients with HER2-positive esophagogastric cancer that progressed on first-line trastuzumab-based therapy. Meta-analysis was performed on the primary outcome, overall survival (OS), and on secondary outcomes progression-free survival (PFS), objective-response rate (ORR), and adverse events. Results: Four cohort studies and one randomized controlled trial (RCT) were included with n = 200 patients who received second-line trastuzumab plus chemotherapy and n = 183 who received chemotherapy-alone. Meta-analysis showed that trastuzumab plus chemotherapy did not prolonged OS [HR = 0.72, 95% confidence interval (95% CI) = 0.47–1.08, p=. 11). PFS was longer with trastzumab plus chemotherapy compared to chemotherapy-alone (HR = 0.64, 95% CI = 0.45–0.91, p<.05). There was no significant difference in ORR between the trastuzumab plus chemotherapy-group and the chemotherapy-alone group (ORR = 19.1% versus ORR = 13.4%, p=.13) and no significant differences in grade 3/4 and grade 1/2 adverse events. Conclusions: This meta-analysis showed that patients who progressed on first-line trastuzumab-based therapy but of whom trastuzumab was continued in second-line and added to chemotherapy did not show longer OS or a higher ORR compared to patients receiving second-line chemotherapy-alone. However, PFS was prolonged and trastuzumab was not associated with additional safety concerns. In absence of available second-line HER2-targeted agents, a large prospective RCT should investigate if continuation of trastuzumab might be an attractive strategy, as this meta-analysis was mostly based on non-randomized studies and a RCT with a small sample size.
Performance evaluation of serum IgG subclass quantification using a SPAPLUS turbidimetric analyzer and comparison with the BNII nephelometer

Abstract IgG consists of four subclasses: IgG1, IgG2, IgG3, and IgG4. Changes in the serum concentration of each subclass reflect different clinical situations, and quantification of each subclass is important to assess patients’ clinical states. Herein, we evaluated the analytical performance of the SPAPLUS turbidimetric analyzer (The Binding Site, Birmingham, UK) for IgG subclass. Precision, linearity, comparison with the BNII system (Siemens Healthineers, Erlangen, Germany), and reference interval were assessed according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. The repeatability and within-laboratory precision were within 5% for all IgG subclasses. The coefficient of determination (R2) was higher than 0.99 for the analytical measurement range in all IgG subclasses. Comparison between SPAPLUS and BNII revealed significant differences in IgG1, IgG3, and IgG4 (p < .0001). IgG1 and IgG4 values were lower in SPAPLUS than BNII. On the other hand, IgG3 values were higher in SPAPLUS than BNII. The SPAPLUS turbidimetric analyzer exhibited good analytical performance for quantification of four IgG subclasses. Because of the differences between SPAPLUS and BNII, follow-up test for disease monitoring should be performed with same instrument.
Oil-entrapped ranitidine HCl beads heal peptic ulcers via local and systemic mechanisms

Abstract Objective: Oral gastroretentive system is one of the site-specific drug delivery system, which is designed to be retained in upper GIT for a prolonged time. Ranitidine hydrochloride (RHCl), which is used frequently in treatment of peptic ulcer, is a suitable candidate for gastroretentive delivery systems. Dependently, floating oil-entrapped alginate beads of RHCl were developed and evaluated as an approach to site-specific delivery avoiding colonic degradation and enhancing both bioavailability and the proposed local effect. Methods: Different formulations of floating beads were suggested and randomized using 24 full factorial design. Optimized formulation was subjected for in vivo studies to measure the oral bioavailability and the healing effect of induced peptic ulcers. Results: Beads size ranged from 1.32 to 2.3 mm. All beads revealed excellent floating capabilities. Optimum formulation (F12) has entrapment efficiency of 70%, drug loading of 7% and 71% RHCl released after 6 h. SEM of F12 shows a grossly spherical structure with presence of oil droplets distributed throughout structure. AUC obtained from F12 was nonsignificantly higher than that of a commercial tablet. Signs of ulcer healing appeared clearly with F12 through appearance of granulation tissue, collagen fibers and newly formed blood vessels. Healing rate and extent obtained with a commercial tablet were less than F12. Quantitative analysis confirmed histopathological findings. Conclusion: Floating oil-entrapped beads are a promising approach for RHCl delivery to remain in stomach for a longer time ensuring site-specific delivery and consequently, enhancing local healing effect of peptic ulcers.
Correlation of Kondo effect and molecular conformation of the acceptor molecule in the TTF-TCNE charge transfer complex

A Kondo resonance has been observed on purely organic molecules in several combinations of charge transfer complexes on a metal surface. It has been regarded as a fingerprint of the transfer of one electron from the donor to the extended π orbital of the acceptor’s LUMO. Here, we investigate the stoichiometric checkerboard structure of tetrathiafulvalene (TTF) and tetracyanoethylene (TCNE) on a Au(1 1 1) surface using scanning tunneling and atomic force microscopy at 4.8 K. We find a bistable state of the TCNE molecules with distinct structural and electronic properties. The two states represent different conformations of the TCNE within the structure. One of them exhibits a Kondo resonance, whereas the other one does not, despite of both TCNE types being singly charged.
Lack of FcRn Impairs Natural Killer Cell Development and Functions in the Tumor Microenvironment

The neonatal Fc receptor (FcRn) is responsible for the recycling and transcytosis of IgG and albumin. FcRn level was found altered in cancer tissues and implicated in tumor immunosurveillance and neoplastic cell growth. However, the consequences of FcRn down-regulation in the anti-tumor immune response are not fully elucidated. By using the B16F10 experimental lung metastasis model in an FcRn-deficient microenvironment (FcRn−/− mice), we found lung metastasis associated with an abnormal natural killer (NK) cell phenotype. In FcRn−/− mice, NK cells were immature, as shown by their surface marker profile and their decreased ability to degranulate and synthesize interferon γ after chemical and IL-2 or IL-12, IL-15 and IL-18 activation. These new findings support the critical role of FcRn downregulation in the tumor microenvironment in anti-tumor immunity, via NK cell maturation and activation.
Diagnostics in Semantic Segmentation

Over the past years, computer vision community has contributed to enormous progress in semantic image segmentation, a per-pixel classification task, crucial for dense scene understanding and rapidly becoming vital in lots of real-world applications, including driverless cars and medical imaging. Most recent models are now reaching previously unthinkable numbers (e.g., 89% mean iou on PASCAL VOC, 83% on CityScapes), and, while intersection-over-union and a range of other metrics provide the general picture of model performance, in this paper we aim to extend them into other meaningful and important for applications characteristics, answering such questions as 'how accurate the model segmentation is on small objects in the general scene? ', or 'what are the sources of uncertainty that cause the model to make an erroneous prediction? '. Besides establishing a methodology that covers the performance of a single model from different perspectives, we also showcase several extensions that can be worth pursuing in order to further improve current results in semantic segmentation.
Fundamentals of Natural Representation

Our understanding of the natural universe is far from being comprehensive. The following questions bring to the fore some of the fundamental issues. Is there a reality of information associated with the states of matter based entirely on natural causation? If so, then what constitutes the mechanism of information exchange (processing) at each interaction of physical entities? Let the association of information with a state of matter be referred to as the representation of semantic value expressed by the information. We ask, can the semantic value be quantified, described, and operated upon with symbols, as mathematical symbols describe the material world? In this work, these questions are dealt with substantively to establish the fundamental principles of the mechanisms of representation and propagation of information with every physical interaction. A quantitative method of information processing is derived from the first principles to show how high level structured and abstract semantics may arise via physical interactions alone, without a need for an intelligent interpreter. It is further shown that the natural representation constitutes a basis for the description, and therefore, for comprehension, of all natural phenomena, creating a more holistic view of nature. A brief discussion underscores the natural information processing as the foundation for the genesis of language and mathematics. In addition to the derivation of theoretical basis from established observations, the method of information processing is further demonstrated by a computer simulation.
Informative sensor selection on clustered sensors

Many researchers have focused their work on recognising activities in smart homes, with the aim to support the occupants by monitoring their daily activities and identify any abnormalities. In order to recognise human daily activities, sensors are installed in the home to collect information about the occupant. Activities can then be inferred from a sequence of sensor observations output from the house. However, one challenge still remains: which sensors are useful to effectively recognise the occupant’s activities. Many traditional filter-based methods have been proposed in the literature for sensor selection but these methods may not consider sensor inter-redundancy. Motivated by this, this paper addresses the sensor selection problem using clustering and then apply the filter-based method on the clustered sensors. The effectiveness of the method is evaluated using two well-known public smart home datasets. The results showed that our proposed method not only able to reduce the number of sensors needed but also able identify the set of sensors that are useful for activity recognition.
Telomere length measurement as a clinical biomarker of aging and disease

Abstract Telomere length measurement is increasingly recognized as a clinical gauge for age-related disease risk. There are several methods for studying blood telomere length (BTL) as a clinical biomarker. The first is an observational study approach, which directly measures telomere lengths using either cross-sectional or longitudinal patient cohorts and compares them to a population of age- and sex-matched individuals. These direct traceable measurements can be considered reflective of an individual’s current health or disease state. Escalating interest in personalized medicine, access to high-throughput genotyping and resulting acquisition of large volumes of genetic data corroborates the second method, Mendelian randomization (MR). MR employs telomere length-associated genetic variants to indicate predisposition to disease risk based on the genomic composition of the individual. When assessed from cells in the bloodstream, telomeres can show variation from their genetically predisposed lengths due to environmental-induced changes. These alterations in telomere length act as an indicator of cellular health, which, in turn, can provide disease risk status. Overall, BTL measurement is a dynamic marker of biological health and well-being that together with genetically defined telomere lengths can provide insights into improved healthcare for the individual.
High-Resolution Temperature Sensor Based on Single-Frequency Ring Fiber Laser via Optical Heterodyne Spectroscopy Technology

We demonstrate a high-resolution temperature sensor based on optical heterodyne spectroscopy technology by virtue of the narrow linewidth characteristic of a single-frequency fiber laser. When the single-frequency ring fiber laser has a Lorentzian-linewidth <1 kHz and the temperature sensor operates in the range of 3−85 °C, an average sensitivity of 14.74 pm/°C is obtained by an optical spectrum analyzer. Furthermore, a resolution as high as ~5 × 10−3 °C is demonstrated through optical heterodyne spectroscopy technology by an electrical spectrum analyzer in the range of 18.26–18.71 °C with the figure of merit up to 3.1 × 105 in the experiment.
A novel hybrid closed-loop control approach for dexterous prosthetic hand based on myoelectric control and electrical stimulation

Purpose The purpose of this study is to present a novel hybrid closed-loop control method together with its performance validation for the dexterous prosthetic hand. Design/methodology/approach The hybrid closed-loop control is composed of a high-level closed-loop control with the user in the closed loop and a low-level closed-loop control for the direct robot motion control. The authors construct the high-level control loop by using electromyography (EMG)-based human motion intent decoding and electrical stimulation (ES)-based sensory feedback. The human motion intent is decoded by a finite state machine, which can achieve both the patterned motion control and the proportional force control. The sensory feedback is in the form of transcutaneous electrical nerve stimulation (TENS) with spatial-frequency modulation. To suppress the TENS interfering noise, the authors propose biphasic TENS to concentrate the stimulation current and the variable step-size least mean square adaptive filter to cancel the noise. Eight subjects participated in the validation experiments, including pattern selection and egg grasping tasks, to investigate the feasibility of the hybrid closed-loop control in clinical use. Findings The proposed noise cancellation method largely reduces the ES noise artifacts in the EMG electrodes by 18.5 dB on average. Compared with the open-loop control, the proposed hybrid closed-loop control method significantly improves both the pattern selection efficiency and the egg grasping success rate, both in blind operating scenarios (improved by 1.86 s, p < 0.001, and 63.7 per cent, p < 0.001) or in common operating scenarios (improved by 0.49 s, p = 0.008, and 41.3 per cent, p < 0.001). Practical implications The proposed hybrid closed-loop control method can be implemented on a prosthetic hand to improve the operation efficiency and accuracy for fragile objects such as eggs. Originality/value The primary contribution is the proposal of the hybrid closed-loop control, the spatial-frequency modulation method for the sensory feedback and the noise cancellation method for the integrating of the myoelectric control and the ES-based sensory feedback.
Comparison of Efficacy of Laparoscopic and Open Splenectomy Combined With Selective and Nonselective Pericardial Devascularization in Portal Hypertension Patients

Background: Recent advances in laparoscopic techniques have demonstrated that laparoscopy is superior for managing portal hypertension. This study aimed to compare the efficacy of laparoscopic splenectomy plus selective pericardial devascularization (LSSD) and open splenectomy and nonselective pericardial devascularization (OSD) in patients with portal hypertension. Methods: A total of 127 patients with portal hypertension underwent either LSSD or OSD at Jingzhou Central Hospital from January 2014 to December 2016. A total of, 55 patients received LSSD, including 29 male and 26 female individuals (age, 56.0±11.6 y); 72 patients received OSD, including 45 male and 27 female individuals (age, 53.4±10.9 y). The parameters of operation and outcomes were measured and compared. Results: Intraoperative blood loss, postoperative complications, and hospital stay were significantly lower in LSSD group but operation time was significantly lower in OSD group. Postoperative Child-Pugh score was significantly lower in LSSD group than in OSD group. Conclusions: LSSD is a safe and effective treatment for liver cirrhosis patients with portal hypertension.
The impact of heavy and disordered use of games and social media on adolescents’ psychological, social, and school functioning

Aim To extend the scholarly debate on (a) whether or not the compulsive use of games and social media should be regarded as behavioral addictions (Kardefelt-Winther et al., 2017) and (b) whether the nine DSM-5 criteria for Internet gaming disorder (IGD; American Psychiatric Association [APA], 2013) are appropriate to distinguish highly engaged, non-disordered users of games and social media from disordered users, this study investigated the impact of engaged and disordered use of games and social media on the psychosocial well-being and school performances of adolescents. Methods As part of the Digital Youth Project of the University of Utrecht, a three-wave longitudinal sample of 12- to 15-year-old adolescents (N = 538) was utilized. Three annual online measurements were administered in the classroom setting, including IGD, social media disorder, life satisfaction, and perceived social competence. Schools provided information on students’ grade point average. Results The symptoms of disordered use of games and social media showed to have a negative effect on adolescent’s life satisfaction, and the symptoms of disordered gaming showed a negative impact on adolescents’ perceived social competence. On the other hand, heavy use of games and social media predicted positive effects on adolescents’ perceived social competence. However, the heavy use of social media also predicted a decrease in school performances. Several gender differences in these outcomes are discussed. Conclusion The findings propose that symptoms of disordered use of games and social media predict a decrease in the psychosocial well-being and school performances of adolescents, thereby meeting one of the core criteria of behavioral addictions.