Miracle-dz/UniFAR-FTUs huggingface dataset:
Circular (Yet Sound) Proofs in Propositional Logic

Proofs in propositional logic are typically presented as trees of derived formulas or, alternatively, as directed acyclic graphs of derived formulas. This distinction between tree-like vs. dag-like structure is particularly relevant when making quantitative considerations regarding, for example, proof size. Here we analyze a more general type of structural restriction for proofs in rule-based proof systems. In this definition, proofs are directed graphs of derived formulas in which cycles are allowed as long as every formula is derived at least as many times as it is required as a premise. We call such proofs “circular”. We show that, for all sets of standard inference rules with single or multiple conclusions, circular proofs are sound. We start the study of the proof complexity of circular proofs at Circular Resolution, the circular version of Resolution. We immediately see that Circular Resolution is stronger than dag-like Resolution since, as we show, the propositional encoding of the pigeonhole principle has circular Resolution proofs of polynomial size. Furthermore, for derivations of clauses from clauses, we show that Circular Resolution is, surprisingly, equivalent to Sherali-Adams, a proof system for reasoning through polynomial inequalities that has linear programming at its base. As corollaries we get: (1) polynomial-time (LP-based) algorithms that find Circular Resolution proofs of constant width, (2) examples that separate Circular from dag-like Resolution, such as the pigeonhole principle and its variants, and (3) exponentially hard cases for Circular Resolution. Contrary to the case of Circular Resolution, for Frege we show that circular proofs can be converted into tree-like proofs with at most polynomial overhead.
Maternal Gdf3 is an obligatory cofactor in Nodal signaling for embryonic axis formation in zebrafish

Zebrafish Gdf3 (Dvr1) is a member of the TGFβ superfamily of cell signaling ligands that includes Xenopus Vg1 and mammalian Gdf1/3. Surprisingly, engineered homozygous mutants in zebrafish have no apparent phenotype. Elimination of Gdf3 in oocytes of maternal-zygotic mutants results in embryonic lethality that can be fully rescued with gdf3 RNA, demonstrating that Gdf3 is required only early in development, beyond which mutants are viable and fertile. Gdf3 mutants are refractory to Nodal ligands and Nodal repressor Lefty1. Signaling driven by TGFβ ligand Activin and constitutively active receptors Alk4 and Alk2 remain intact in gdf3 mutants, indicating that Gdf3 functions at the same pathway step as Nodal. Targeting gdf3 and ndr2 RNA to specific lineages indicates that exogenous gdf3 is able to fully rescue mutants only when co-expressed with endogenous Nodal. Together, these findings demonstrate that Gdf3 is an essential cofactor of Nodal signaling during establishment of the embryonic axis.
Digital ulcers in scleroderma patients: A retrospective observational study

Background: The guidelines for digital ulcers (DUs) management in systemic sclerosis (SSc) indicate the use of iloprost to induce wound healing and bosentan to prevent the onset of new DU. The aim of our study was to evaluate whether the combination treatment may surmount the effect of the single drug. Methods: We analyzed data regarding 34 patients with SSc and at least one active DU persisting despite 6 months of iloprost therapy, and treated for other 6 months with a combination therapy, i.e. iloprost plus bosentan. Results: Overall, patients initially presented 69 DUs (58 on the fingers and 11 on the legs). At the end of the study 34 (49.3%) DUs were completely healed (responding, R), 18 (26.1%) started the healing process (partially responding, PR), and 17 (24.6%) did not respond (NR) to therapy. No new DU was recorded and the ulcers localized on the legs did not respond to the combination therapy. Finally, data have been analyzed by dividing the patients in two groups according to the fibrosis level on the finger. In the group with mild fibrosis, 83.4% of DUs resulted with showing complete healing while, in the group with severe fibrosis, only 18% of DUs were healed (P = 0.024). Conclusion: The treatment with iloprost plus bosentan is effective in determining healing of DUs in SSc patients with mild digital skin fibrosis. Conversely, the severity of skin fibrosis strongly influences the healing process of DUs. The study confirmed the efficacy of bosentan to prevent onset of new DUs.
Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events

One of the risks of large-scale geologic carbon sequestration is the potential migration of fluids out of the storage formations. Accurate and fast detection of this fluids migration is not only important but also challenging, due to the large subsurface uncertainty and complex governing physics. Traditional leakage detection and monitoring techniques rely on geophysical observations including seismic. However, the resulting accuracy of these methods is limited because of indirect information they provide requiring expert interpretation, therefore yielding in-accurate estimates of leakage rates and locations. In this work, we develop a novel machine-learning detection package, named "Seismic-Net", which is based on the deep densely connected neural network. To validate the performance of our proposed leakage detection method, we employ our method to a natural analog site at Chimay\'o, New Mexico. The seismic events in the data sets are generated because of the eruptions of geysers, which is due to the leakage of $\mathrm{CO}_\mathrm{2}$. In particular, we demonstrate the efficacy of our Seismic-Net by formulating our detection problem as an event detection problem with time series data. A fixed-length window is slid throughout the time series data and we build a deep densely connected network to classify each window to determine if a geyser event is included. Through our numerical tests, we show that our model achieves precision/recall as high as 0.889/0.923. Therefore, our Seismic-Net has a great potential for detection of $\mathrm{CO}_\mathrm{2}$ leakage.
Vitrectomy for Epiretinal Membranes and Macular Holes in Uveitis Patients.

PURPOSE Macular pathology, including macular holes (MHs), epiretinal membranes (ERMs), and macular edema, is a cause of irreversible vision loss in the setting of uveitis. Medical management involves corticosteroids, immunomodulatory medications, and biologics to control inflammation. Pars plana vitrectomy (PPV) has been suggested as a therapy for uveitis, with reports of reduced inflammation and decreased dependence on medication postoperatively. Currently, PPV is reserved for retinal detachments, vitreous opacities, and ERMs, causing vitreomacular traction. However, little is known about the visual outcomes of PPV with ERM peel for MH, or in ERM without evidence of traction in the context of uveitis. METHODS Review of small case series and case reports support both conservative medical treatment and vitrectomy, independently, and in combination, in the management of macular pathology in the setting of uveitis. RESULTS AND CONCLUSIONS Further studies are required to study uveitic etiologies separately with respect to visual outcomes after vitreoretinal surgery and medical management.
The impact of base station antennas configuration on the performance of millimetre wave 5G networks

In this paper, two scenarios have been considered for millimetre wave base station configuration. In the first scenario, the approach of Distributed Base Station (DBS) with remote radio units (RRU) is chosen as the envisioned architecture for future 5G network. This approach is compatible with cloud radio access network (C-RAN), as it has easier scalability and compatibility with future network expansions and upgrades. RRU has been used in this work as a way to sidestep the limited coverage and poor channel condition, which characterise millimetre wave band. This will minimise the number of required sites installation for the same quality of service (QoS). The results of this approach have shown significant improvements in terms of User Equipment (UE) throughput, average cell throughput, and spectral efficiency. In the second scenario, optimising antenna element spacing is considered in the base station array. The results show significant improvement in the network performance and provide better performance for cell-edge users in terms of data throughput.
Ontogenetic Development of the Derived Olfactory System of the Mantellid Frog Mantidactylus betsileanus

The nasal cavity of Mantidactylus betsileanus, a frog of the Madagascar‐Comoroan endemic family Mantellidae, is characterized by a unique internal architecture. Unlike the state commonly observed in anurans, the two discernible olfactory subsystems of M. betsileanus (the main olfactory organ and the vomeronasal organ) are anatomically separated from each other, suggesting an enhanced functional differentiation. Here we evaluate the ontogenetic formation of this extraordinary anatomical state based on a histological study of a developmental series of M. betsileanus. The olfactory system of premetamorphic tadpoles, and most of its changes during metamorphosis, resembles that of other anurans. At the end of metamorphosis however, a growing obstruction of the passage between main olfactory organ and vomeronasal organ takes place, leading to the deviant morphological state previously described for adults. The late appearance of this atypical anatomical feature in the course of ontogeny agrees with the phylogenetic hypothesis of the observed obstruction representing a derived state for these frogs. From a functional point of view, the apparent autonomy of the vomeronasal organ is possibly linked to the presence of clade‐specific femoral glands that are known to produce pheromones and that likewise are fully expressed in adults only. Anat Rec, 299:943–950, 2016. © 2016 Wiley Periodicals, Inc.
Light-Driven Contact Hearing Aid for Broad-Spectrum Amplification: Safety and Effectiveness Pivotal Study

Objective: Demonstrate safety and effectiveness of the light-driven contact hearing aid to support FDA clearance. Study Design: A single-arm, open-label investigational-device clinical trial. Setting: Two private-practice and one hospital-based ENT clinics. Patients: Forty-three subjects (86 ears) with mild-to-severe bilateral sensorineural hearing impairment. Intervention: Bilateral amplification delivered via a light-driven contact hearing aid comprising a Tympanic Lens (Lens) with a customized platform to directly drive the umbo and a behind-the-ear sound processor (Processor) that encodes sound into light pulses to wirelessly deliver signal and power to the Lens. Main Outcome Measures: The primary safety endpoint was a determination of “no change” (PTA4 < 10 dB) in residual unaided hearing at the 120-day measurement interval. The primary efficacy endpoint was improvement in word recognition using NU-6 at the 30-day measurement interval over the baseline unaided case. Secondary efficacy endpoints included functional gain from 2 to 10 kHz and speech-in-noise improvement over the baseline unaided case using both omnidirectional and directional microphones. Results: The results for the 86 ears in the study determined a mean change of −0.40 dB in PTA4, indicating no change in residual hearing (p < 0.0001). There were no serious device- or procedure-related adverse events, or unanticipated adverse events. Word recognition aided with the Earlens improved significantly (p < 0.0001) over the unaided performance, by 35% rationalized arcsine units on average. Mean functional gain was 31 dB across 2 to 10 kHz. The average speech-recognition threshold improvement over the unaided case for the Hearing in Noise Test was 0.75 dB (p = 0.028) and 3.14 dB (p < 0.0001) for the omnidirectional and directional microphone modes, respectively. Conclusion: The safety and effectiveness data supported a de novo 510(k) submission that received clearance from the FDA.
A study on pitting initiation mechanism of super-austenitic stainless steel weld in chloride environment

There has been controversy over the localized corrosion mechanism of super-austenitic stainless steel weld due mainly to the lack of effective evaluation technique for identification of corrosion nucleation site in weld. For this reason, an electrochemical polarization method followed by an observation of microstructure using the back-scattered electron mode in field emission-scanning electron microscopy is used. To clarify the localized corrosion mechanism, energy dispersive spectroscopy line profile analyzed by transmission electron microscopy is additionally utilized. It clearly reveals that the selective corrosion is preferentially initiated around the σ-phase precipitated in the interdendritic region in weld. The local depletion of Cr and Mo around the σ-phase can be partly replenished by the diffusion of the elements into the depleted area during the subsequent heat treatment at 1180 °C.
Neighbourhood food environments: food choice, foodscapes and planning for health

The burden of obesity contributes to increasing health inequality, and placing healthcare systems under huge strain. The modern society could broadly be described to support unhealthful eating patterns and sedentary behaviour; also described as obesogenic. Obesity prevention and treatment has focused on educational and behavioural interventions, with limited overall success. A sustainable approach is to address the environments that promote less healthy eating and high energy intake as well as sedentary behaviour. Approaches which modify the environment have the potential to assist in the prevention of this complex condition. The present paper focuses on food environments within the context of obesogenic environments. Takeaway and fast food, a fixture of our diet, is usually nutrient poor and energy dense. A ‘concentration effect’ has been observed, where there is a clustering of fast food and takeaway outlets in more deprived areas. Access to food and intake are associated; however, there are methodological challenges in associating the effect of the food environment on obesity. While there is an imperfect evidence base relating to the role of the food environment in terms of the obesity crisis; policy, practice, civic society and industry must work together and take action now, where current evidence suggests a change. Shaping the environment to better support healthful eating decisions has the potential to be a key aspect of a successful obesity prevention intervention.
Modulation of GSK3β autoinhibition by Thr‐7 and Thr‐8

Glycogen synthase kinase 3β (GSK‐3β) is a pivotal signaling node that regulates a myriad of cellular functions and is deregulated in many pathological conditions, making it an attractive therapeutic target. Inhibitory Ser‐9 phosphorylation of GSK3β by AKT is an important mechanism for negative regulation of GSK3β activity upon insulin stimulation. Here, we report that Thr‐7 and Thr‐8 residues located in the AKT/PKB substrate consensus sequence on GSK3β are essential for insulin‐stimulated Ser‐9 phosphorylation in vivo and for GSK3β inactivation. Intestinal cell kinase (ICK) phosphorylates GSK3β Thr‐7 in vitro and in vivo. Thr‐8 phosphorylation partially inhibits GSK3β, but Thr‐7 phosphorylation promotes GSK3β activity and blocks phospho‐Ser‐9‐dependent GSK3β autoinhibition. Our findings uncover novel mechanistic and signaling inputs involved in the autoinhibition of GSK3β.
Impaired phloem loading in zmsweet13a,b,c sucrose transporter triple knock-out mutants in Zea mays.

Crop yield depends on efficient allocation of sucrose from leaves to seeds. In Arabidopsis, phloem loading is mediated by a combination of SWEET sucrose effluxers and subsequent uptake by SUT1/SUC2 sucrose/H+ symporters. ZmSUT1 is essential for carbon allocation in maize, but the relative contribution to apoplasmic phloem loading and retrieval of sucrose leaking from the translocation path is not known. Here we analysed the contribution of SWEETs to phloem loading in maize. We identified three leaf-expressed SWEET sucrose transporters as key components of apoplasmic phloem loading in Zea mays L. ZmSWEET13 paralogues (a, b, c) are among the most highly expressed genes in the leaf vasculature. Genome-edited triple knock-out mutants were severely stunted. Photosynthesis of mutants was impaired and leaves accumulated high levels of soluble sugars and starch. RNA-seq revealed profound transcriptional deregulation of genes associated with photosynthesis and carbohydrate metabolism. Genome-wide association study (GWAS) analyses may indicate that variability in ZmSWEET13s correlates with agronomical traits, especifically flowering time and leaf angle. This work provides support for cooperation of three ZmSWEET13s with ZmSUT1 in phloem loading in Z. mays.
Object Detection and Sorting by Using a Global Texture-Shape 3D Feature Descriptor

Object recognition and sorting plays a key role in robotic systems, especially for the autonomous robots to implement object sorting tasks in a warehouse. In this paper, we present a global texture-shape 3D feature descriptor which can be utilized in a sorting system, and this system can perform object sorting tasks well. Our proposed descriptor stems from the clustered viewpoint feature histogram (CVFH). As the CVFH feature descriptor relies on the geometrical information of the whole 3D object surface only, it can not perform well on the objects with similar geometrical information. Therefore, we extend the CVFH descriptor with texture information to generate a new global 3D feature descriptor. Then this proposed descriptor is tested for sorting 3D objects by using multi-class support vector machines (SVM). It is also evaluated by a public 3D image dataset and real scenes. The results of evaluation show that our proposed descriptor have a good performance for object recognition compared to the CVFH. Then we leverage this proposed descriptor in the proposed sorting system, showing that the proposed descriptor helps the sorting system implement the object detection, the object recognition and object grasping tasks well.
Novel dissection of the central nervous system to bridge gross anatomy and neuroscience for an integrated medical curriculum

Medical schools in the United States continue to undergo curricular change, reorganization, and reformation as more schools transition to an integrated curriculum. Anatomy educators must find novel approaches to teach in a way that will bridge multiple disciplines. The cadaveric extraction of the central nervous system (CNS) provides an opportunity to bridge gross anatomy, neuroanatomy, and clinical neurology. In this dissection, the brain, brainstem, spinal cord, cauda equina, optic nerve/tract, and eyes are removed in one piece so that the entire CNS and its gateway to the periphery through the spinal roots can be appreciated. However, this dissection is rarely, if ever, performed likely due to time constraints, perceived difficulty, and lack of instructions. The goals of this project were (i) to provide a comprehensive, step‐by‐step guide for an en bloc CNS extraction and (ii) to determine effective strategies to implement this dissection/prosection within modern curricula. Optimal dissection methods were determined after comparison of various approaches/tools, which reduced dissection time from approximately 10 to 4 hours. The CNS prosections were piloted in small group sessions with two types of learners in two different settings: graduate students studied wet CNS prosections within the dissection laboratory and medical students used plastinated CNS prosections to review clinical neuroanatomy and solve lesion localization cases during their neurology clerkship. In both cases, the CNS was highly rated as a teaching tool and 98% recommended it for future students. Notably, 90% of medical students surveyed suggested that the CNS prosection be introduced prior to clinical rotations. Anat Sci Educ 11: 185–195. © 2017 American Association of Anatomists.
Perception and Cognition of Cues Used in Synchronous Brain–Computer Interfaces Modify Electroencephalographic Patterns of Control Tasks

A motor imagery (MI)-based brain–computer interface (BCI) is a system that enables humans to interact with their environment by translating their brain signals into control commands for a target device. In particular, synchronous BCI systems make use of cues to trigger the motor activity of interest. So far, it has been shown that electroencephalographic (EEG) patterns before and after cue onset can reveal the user cognitive state and enhance the discrimination of MI-related control tasks. However, there has been no detailed investigation of the nature of those EEG patterns. We, therefore, propose to study the cue effects on MI-related control tasks by selecting EEG patterns that best discriminate such control tasks, and analyzing where those patterns are coming from. The study was carried out using two methods: standard and all-embracing. The standard method was based on sources (recording sites, frequency bands, and time windows), where the modulation of EEG signals due to motor activity is typically detected. The all-embracing method included a wider variety of sources, where not only motor activity is reflected. The findings of this study showed that the classification accuracy (CA) of MI-related control tasks did not depend on the type of cue in use. However, EEG patterns that best differentiated those control tasks emerged from sources well defined by the perception and cognition of the cue in use. An implication of this study is the possibility of obtaining different control commands that could be detected with the same accuracy. Since different cues trigger control tasks that yield similar CAs, and those control tasks produce EEG patterns differentiated by the cue nature, this leads to accelerate the brain–computer communication by having a wider variety of detectable control commands. This is an important issue for Neuroergonomics research because neural activity could not only be used to monitor the human mental state as is typically done, but this activity might be also employed to control the system of interest.
A simple detection method for spatially modulated optical wireless communication

A complex modulation named QCM for MIMO system was proposed in [7] and it was shown that additional process for converting complex signal to real value is not required. However, considering the optimum ML method in QCM system, there is a problem that the complexity of the receiver is greatly increased. In this paper, we propose a simple detection method for QCM-MIMO system. The proposed method can generate the small number of reliable candidate vectors by using upper triangular structure in QR decomposition. The simulation results show that the proposed method can nearly approach the optimum ML performance with feasible complexity.
Automatic Labeling of the Object-oriented Source Code: The Lotus Approach

Most of open-source software systems become available on the internet today. Thus, we need automatic methods to label software code. Software code can be labeled with a set of keywords. These keywords in this paper referred as software labels. The goal of this paper is to provide a quick view of the software code vocabulary. This paper proposes an automatic approach to document the object-oriented software by labeling its code. The approach exploits all software identifiers to label software code. The paper presents the results of study conducted on the ArgoUML and drawing shapes case studies. Results showed that all code labels were correctly identified.