Miracle-dz/UniFAR-FTUs huggingface dataset:
A Distributed Remote Driver Selection for Cost Efficient and Safe Driver Handover

Advances in autonomous or self-driving automobile can revolutionize intelligent transportation. But their safety is widely open to debates as failures are anticipated, because the technology is nascent. In this paper we address this concern by remote driving. A process which brings safety mechanism, allowing autonomous automobiles to be monitored and controlled by a remote driver. Remote driving relies on real-time transfer of data from vehicle to the remote driver by utilizing communication network infrastructure, prone to latency. Under ideal conditions, with the use of multiple remote drivers, many latency related factors between driver and vehicle for safe control can be reduced. However, frequent remote driver change or handover may cause vulnerability due to possible conflict. In this paper, we propose greedy algorithms to select minimum number of remote driver(s) at a minimum distance away from automobile under given distance constraint. This reduces the number of driver hand-overs, thus increasing the reliability of remote operation and safety of automobile. Through extensive simulations, we show that the proposed algorithms perform similar to the optimal exhaustive search algorithm, with much faster computation time.
Diffusion-weighted imaging (DWI) in lymph node staging for prostate cancer

In patients with prostate cancer, the presence of lymph node (LN) metastases is a critical prognostic factor and is essential for treatment planning. Conventional cross-sectional imaging performs poorly for nodal staging as both computed tomography (CT) and magnetic resonance imaging (MRI) are mainly dependent on size and basic morphological criteria. Therefore, extended pelvic LN dissection (ePLND) remains the gold standard for LN staging, however, it is an invasive procedure with its own drawbacks, thus creating a need for accurate preoperative imaging test. Incorporating functional MRI by using diffusion-weighted MRI has proven superior to conventional MRI protocol by means of both qualitative and quantitative assessment. Currently, the increased diagnostic performance remains insufficient to replace ePLND and the future role of DWI may be through combination with MR lymphangiography or with novel positron emission tomography (PET) tracers. In this article, the current state of data supporting DWI in LN staging of patients with prostate cancer is discussed.
Chromatin-mediated translational control is essential for neural cell fate specification

Chd5 loss links the up-regulation of ribosomal genes to enhanced translation, causing the untimely production of a master transcription factor that unleashes stem cells and alters cell fate. Neural cell fate specification is a multistep process in which stem cells undergo sequential changes in states, giving rise to particular lineages such as neurons and astrocytes. This process is accompanied by dynamic changes of chromatin and in transcription, thereby orchestrating lineage-specific gene expression programs. A pressing question is how these events are interconnected to sculpt cell fate. We show that altered chromatin due to loss of the chromatin remodeler Chd5 causes neural stem cell activation to occur ahead of time. This premature activation is accompanied by transcriptional derepression of ribosomal subunits, enhanced ribosome biogenesis, and increased translation. These untimely events deregulate cell fate decisions, culminating in the generation of excessive numbers of astrocytes at the expense of neurons. By monitoring the proneural factor Mash1, we further show that translational control is crucial for appropriate execution of cell fate specification, thereby providing new insight into the interplay between transcription and translation at the initial stages of neurogenesis.
Einfluss von Dual-Tasking auf das Geradeaus-und Kurvengehen älterer Menschen Hintergrund

Background.Walking is not an automatic movement task but requires continuous attention resources. While walking and undertaking an additional task (dual tasking), gait changes occur which are associatedwith falls in older adults. To date, the evaluation of gait characteristics under dual task conditions is typically performed during walking straight ahead (SW); however, everyday life also requires more complex walking maneuvers such as walking in a curve (CW). Complex walking maneuvers may require higher attentional resources and thus might have a greater impact on the gait under dual task conditions. Objective. The aim was to compare the gait characteristics under dual task conditions during SW and CW. Material and methods. In 30 community-dwelling older adults (mean age: 71.6± 6.6 years) gait parameters including single leg support phase, velocity, cadence, step length and width were measured by electronic gait analysis (GAITRite®, CIR Systems Inc., Franklin, New Jersey, USA) during SW and CW under single and dual task conditions. For each gait parameter the relative change from single to dual task condition was calculated as dual task costs (DTC) and compared using paired t-tests. Results. For the single leg support phase, velocity, cadence and step width, descriptive results showed increased DTC during CW (2.08–23.74%) as compared to SW (1.39–12.90%). For cadence (DTC: SW 6.81± 12.58%, CW 10.54± 13.46%, p= 0.026) and step width (DTC: SW –12.90± 18.01%, CW –23.74± 56.37%, p= 0.004) the differences were statistically significant. Conclusion. The relative decline in gait performance under dual task conditions is greater during CW than during SW. The results suggest that CW requires greater attentional resources as compared to SW. In turn, the risk of fallingmight be increased during CW under dual task conditions. The present findings may contribute to the development of new, ecologically valid assessment and training strategies taking complex walkingmaneuvers into account.
Biological Roles of Ornithine Aminotransferase (OAT) in Plant Stress Tolerance: Present Progress and Future Perspectives

Plant tolerance to biotic and abiotic stresses is complicated by interactions between different stresses. Maintaining crop yield under abiotic stresses is the most daunting challenge for breeding resilient crop varieties. In response to environmental stresses, plants produce several metabolites, such as proline (Pro), polyamines (PAs), asparagine, serine, carbohydrates including glucose and fructose, and pools of antioxidant reactive oxygen species. Among these metabolites, Pro has long been known to accumulate in cells and to be closely related to drought, salt, and pathogen resistance. Pyrroline-5-carboxylate (P5C) is a common intermediate of Pro synthesis and metabolism that is produced by ornithine aminotransferase (OAT), an enzyme that functions in an alternative Pro metabolic pathway in the mitochondria under stress conditions. OAT is highly conserved and, to date, has been found in all prokaryotic and eukaryotic organisms. In addition, ornithine (Orn) and arginine (Arg) are both precursors of PAs, which confer plant resistance to drought and salt stresses. OAT is localized in the cytosol in prokaryotes and fungi, while OAT is localized in the mitochondria in higher plants. We have comprehensively reviewed the research on Orn, Arg, and Pro metabolism in plants, as all these compounds allow plants to tolerate different kinds of stresses.
Dense Deployment of BLE-Based Body Area Networks: A Coexistence Study

The issues of cross-technology interference and coexistence in the unlicensed 2.4-GHz spectrum band among various technologies including WiFi, ZigBee, and classic Bluetooth have been studied extensively. However, it remains relatively understudied for Bluetooth low energy (BLE), especially in densely deployed scenarios. In this paper, we develop a testbed to conduct our experimental studies, focusing on BLE and its coexistence capabilities when being deployed in a dense environment, under possible interference from WiFi and ZigBee/IEEE 802.15. 4. One scenario of interest is a network of several co-located BLE-based BANs, each of which is designed in a star topology with one gateway and multiple BLE sensor nodes. The second scenario represents a highly heterogeneous network where each BAN now carries both BLE and ZigBee sensors, while being exposed to interference from external WiFi transmission. Experiments are carried out on our testbed, which are built based on low-cost, light-weight off-the-shelf components and state-of-the-art BAN protocols. Our results show that the performance of BLE is relatively robust to interference from other BLE transmissions as well as those from nearby ZigBee and WiFi devices. In addition, the deployment of the testbed on human bodies results in no performance degradation for the network.
Matching RGB Images to CAD Models for Object Pose Estimation

We propose a novel method for 3D object pose estimation in RGB images, which does not require pose annotations of objects in images in the training stage. We tackle the pose estimation problem by learning how to establish correspondences between RGB images and rendered depth images of CAD models. During training, our approach only requires textureless CAD models and aligned RGB-D frames of a subset of object instances, without explicitly requiring pose annotations for the RGB images. We employ a deep quadruplet convolutional neural network for joint learning of suitable keypoints and their associated descriptors in pairs of rendered depth images which can be matched across modalities with aligned RGB-D views. During testing, keypoints are extracted from a query RGB image and matched to keypoints extracted from rendered depth images, followed by establishing 2D-3D correspondences. The object's pose is then estimated using the RANSAC and PnP algorithms. We conduct experiments on the recently introduced Pix3D dataset and demonstrate the efficacy of our proposed approach in object pose estimation as well as generalization to object instances not seen during training.
Effect of Pretreatment with the NADPH Oxidase Inhibitor Apocynin on the Therapeutic Efficacy of Human Placenta-Derived Mesenchymal Stem Cells in Intracerebral Hemorrhage

Several studies have demonstrated the beneficial effect of mesenchymal stem cells (MSCs) on intracerebral hemorrhage (ICH). Enhancement of the therapeutic efficacy of MSCs in ICH is necessary, considering the diseases high association with mortality and morbidity. Various preconditioning methods to enhance the beneficial properties of MSCs have been introduced. We suggested apocynin, a well-known nicotinamide adenine dinucleotide phosphate (NADPH) oxidase inhibitor, as a novel preconditioning regimen to enhance the therapeutic efficacy of MSCs in ICH. Rat ICH models were made using bacterial collagenase. 24 h after ICH induction, the rats were randomly divided into apocynin-preconditioned MSC-treated (Apo-MSC), naïve MSC-treated and control groups. Hematoma volume, brain edema, and degenerating neuron count were compared at 48 h after the ICH induction. The expression of tight junction proteins (occludin, zona occludens [ZO]-1) were also compared. Hematoma size, hemispheric enlargement and degenerating neuron count were significantly lower in the Apo-MSC group than in the naïve MSC group (p = 0.004, 0.013 and 0.043, respectively), while the expression of occludin was higher (p = 0.024). Apocynin treatment enhances the therapeutic efficacy of MSCs in ICH in the acute stage, through the improvement of the beneficial properties of MSCs, such as neuroprotection and the reinforcement of endovascular integrity of cerebral vasculature.
Robust and Sparse Kernel PCA and Its Outlier Map

Kernel principal component analysis (PCA) generalizes linear PCA to high-dimensional feature spaces, related to input space by some nonlinear map. One can efficiently compute principal components via an eigen-decomposition of the kernel matrix. Nevertheless, classical kernel PCA has two deficiencies: the lack of robustness and sparseness. It can be affected by outliers so strongly that the resulting eigenvectors will be tilted toward them. Moreover, the technique is not sparse, since each principal component in the Hilbert space is expressed in terms of kernels associated with every training pattern. To overcome these issues, we proposed a two-stage algorithm: a robust distance was computed to identify the uncontaminated data set, followed by estimating the best-fit ellipsoid to these data for an informative and concise representation. Finally, a kernel PCA outlier map was proposed to display and classify the outliers. Simulations with synthetic data show the effectiveness of our algorithm and its corresponding outlier map.
Data Dissemination Based on Complex Networks’ Metrics for Distributed Traffic Management Systems

With the growth of large urban centers, some problems arise and solutions must be sought to contain them. In this context, traffic congestion is one such problem, where road infrastructure does not follow the high growth in the number of vehicles. Traffic Management Systems (TMS) arise to mitigate traffic-related problems, with automatic detection of slow roadways and vehicle rerouting to avoid such routes. Such applications are supported by the Vehicular Ad hoc NETworks (VANETs), where traffic information are disseminated between the vehicles or central server, and thus the better decisions about traffic management can be made. However, the data dissemination in VANETs is a challenging task, due to the short-range communication and high node mobility. Thus, this paper introduces a protocol for Data Dissemination based on Metrics of Complex Networks, called CRONOS. It provides data dissemination of traffic data with low overhead and high coverage. Simulation results show that CRONOS reduced the number of transmissions by 95%, the congestion time by 48.95%, and travel time by 18.11% for a TMS application.
CNOR: A Non-Overlapping Wildcard Rule Caching System for Software-Defined Networks

Software-Defined Networks (SDN) enable flexible flow control by caching policy rules into switches. Compared with exact-match rules caching, wildcard rules caching can better preserve the flow table space at switches. Due to the existence of overlap among different priority wildcard rules, only caching the matched wildcard rule will incur semantic errors. In order to address this problem, previous schemes install multiple wildcard rules for each cache miss. In this paper, we propose a new wildcard rules caching system for SDN named Caching Non-Overlapping Rules (CNOR). The non-overlapping rule set is generated by an algorithm that is similar to leaf pushing. Our scheme only installs one nonoverlapping wildcard rule for each cache miss. Compared with previous schemes, our scheme improves the cache hit ratio of rules and reduces bandwidth consumption between the controller and switches.
Pathological knee laxity in elite women team handball players: a pilot study

To identify the anterior cruciate ligament (ACL) laxity thresholds and to evaluate the utility of this measure in case of onset of knee injury for elite women handball players. Anterior laxity was measured by an arthrometer. Data on 29 elite women handball players and 20 sedentary women were collected. Among the handball group, 9 participants suffered from full-thickness ACL tears. The recorded variables were the anterior knee laxities at pressure load (PL) of 134 N (PL134N) and 250 N (PL250N) on the upper calf, which allowed assessment of the inter-leg comparison by calculating the differential laxity thresholds and the differential slope coefficients. Considering the healthy knee as a reference within the injured players, the laxity thresholds were identified, and the diagnostic value of the tests was assessed. The handball players without a full-thickness tear presented lower knee laxity than the sedentary women, and 75% were diagnosed with pathologic laxity in at least one of the knee joints, compared to 10% of sedentary women. The differential laxity threshold was identified between the handball players without a full-thickness tear and those with a full-thickness tear at 1.5 mm with PL134N and 2.2 mm with PL250N. The best diagnostic result was obtained using PL250N (area under the curve = 0.95). Handball practice is associated with specific laxities that are rarely seen in the general population. The ACL laxity thresholds may be useful measures to check the state of the ACL and to suggest full-thickness tears, as joint laxity appears to be a factor contributing to ACL tears in female handball players.
Hypoxia and Oxidative Stress Are Associated with Reduced Fetal Growth in Twin and Undernourished Sheep Pregnancies

Simple Summary Twin gestations in sheep are economically more important than single ones; however, twins are born with lower weight, resulting in higher mortality and lower postnatal growth. Chilean Patagonia is very important for sheep production, but its harsh environment results in low food availability and cold and windy conditions during gestation and lambing periods, with a consequent great mortality of twins (~40%). We postulate that the restriction of fetal growth in twin and undernourished sheep pregnancies is associated with fetal hypoxia and oxidative stress. To prove this, single- and twin-bearing ewes were maintained under Patagonian field conditions and offered only natural pasture (undernourished) or natural pasture plus concentrate supplementation (well nourished). Near term, blood gases and oxidative status were evaluated in cord blood, and fetal biometric traits and placental weight were obtained after cesarean section. Both maternal undernutrition and twinning led to decreased oxygen supply to the fetuses, which was associated with decreased intrauterine growth. Moreover, twinning increased oxidative stress at the feto-placental unit, which might also contribute to the restriction of fetal growth. These results highlight the importance of maternal nutrition, especially for those ewes bearing multiples, and opens new possibilities for nutritional or antioxidant interventions for preventing fetal hypoxia and oxidative stress. Abstract Low birth weight has profound implications for perinatal mortality and morbidity in lambs, causing higher mortality and lower growth potential. Low birth weight, as a consequence of fetal growth restriction, occurs in undernourished and multiple pregnancies, where hypoxia and oxidative stress could play a critical role. Our aim was to establish the effects of nutritional deprivation and pregnancy rank on fetal growth, oxygenation, and oxidative status in sheep pregnancies under extensive Patagonian conditions. At 30 days after mating, single- and twin-bearing ewes were offered only natural pasture (undernutrition group) or natural pasture plus concentrate supplementation (well-nourished group). At day 140 of gestation, blood gases and redox status were evaluated in venous cord blood, and fetal biometric characteristics were obtained after cesarean section. Both maternal undernutrition and twinning led to decreased oxygen supply to the fetuses (p = 0.016 and p = 0.050, respectively), which was associated with decreased intrauterine growth (r = 0.446, p < 0.01). Moreover, twinning increased oxidative stress in cord blood (p < 0.05), which might also contribute to fetal growth restriction. These results reinforce the importance of maternal nutrition, especially for those ewes bearing multiples, and opens new possibilities for nutritional or antioxidant interventions for preventing fetal hypoxia and oxidative stress.
The Association between Children’s and Parents’ Co-TV Viewing and Their Total Screen Time in Six European Countries: Cross-Sectional Data from the Feel4diabetes-Study

In many European children, high levels of screen time can be found, which is associated with several adverse health outcomes. Therefore, there is a need for identifying effective intervention strategies that reduce screen time in children. A factor that may contribute to excessive screen time in children may be “co-TV viewing” (i.e., the time that parents and children spend on watching TV together), as parents often recognize the importance of limiting children’s (individual) screen time, but often encourage TV viewing as a family because of its perceived benefits (e.g., educational purposes). The primary aim of this study was to investigate the (sex-specific) association between co-TV viewing and both children’s and parents’ screen time, and these associations were investigated across and within six European countries. In total, 10,969 parents (Meanage = 40.7 ± 5.3 years, MeanBMI = 24.4 ± 4.6) of primary school children (Meanage = 8.2 ± 1.0 years, 49.0% boys, MeanBMI = 17.3 ± 2.8) completed a questionnaire assessing co-TV viewing and screen time. Multilevel regression analyses were conducted. Across countries, positive associations were found between co-TV viewing and both children’s (β = 11.85, SE = 3.69, p < 0.001) and parents’ screen time (β = 14.47, SE = 4.43, p = 0.001). Similar associations were found in most (but not all) countries. The results suggest that targeting co-TV viewing might be a promising intervention strategy because of its potential to limit screen time of both children and parents.
Reactive Blood Donor Notification; Their Responses And Perceptions: Experience From Southern Pakistan.

BACKGROUND Donor notification of reactive status is important to prevent the spread of disease. Response of reactive donors to seek confirmation and treatment is a direct reflection of their knowledge and attitudes towards transfusion transmittable infections. METHODS A cross sectional observational study was conducted from August 2014 to July 2015 at the blood bank of a tertiary care hospital, Karachi, Pakistan. Reactive donors' notification and responses were noted with reasons of failure. A cross-sectional analytical survey with non-probability purposive sampling was done on 350 potential consenting blood donors using a pre-tested questionnaire to assess their knowledge and attitude about disease awareness, transmission routes, financial implications and disease sensitization. RESULTS Out of 16660 donations, 5.57% were rejected on positive screening tests. Repeat donors (69.5%) with primary to secondary qualifications constituted the bulk of reactive donors. Donor notification rate were 54.25% whereas 28.68% donors responded to blood bank in person. The survey showed limited awareness about transfusion transmitted infections. Respondents who were ignorant of disease spread through blood transfusion comprised of 48%. 96.6% donors did not know the financial impact of treatment and 69.7% were unable to afford it. Moreover, 94.9% donors were not protected against hepatitis B. Participants with secondary education had significantly less odds of being adequately knowledgeable (OR=0.372, 95% CI: 0.203-0.681, p-value <0.01) but more likely to have a positive attitude. CONCLUSIONS There is need for structured pre-donation counselling to sensitize donors about transfusion related diseases in resource limited countries where treatment costs are high and out of reach for most donors.