Miracle-dz/UniFAR-FTUs huggingface dataset:
BENEFÍCIOS DOS ARRANJOS PRODUTIVOS LOCAIS: A PERCEPÇÃO DOS APICULTORES SOBRE A REDE ABELHA CEARÁ - BRASIL BENEFITS OF LOCAL PRODUCTIVE ARRANGEMENTS (LPA): PERCEPTIONS OF THE MEMBERS OF THE APICULTURE NETWORK 'REDE ABELHA CEARÁ' - BRAZIL

Many projects are currently being developed in Brazil by governmental and non- governmental agencies to support community-based production initiatives, especially through local productive arrangements (LPA). The apiculture network ‛Rede Abelha Ceara' in Northeastern Brazil is an example of the dynamics of this novel form of productive organization, in which small-scale producers increase their competitiveness through LPAs. The present study poses the question: What are the perceptions of the members of ‛Rede Abelha Ceara' regarding the dynamics of the network? To answer the question, we inquired beekeepers about the benefits obtained from their affiliation with the network. The investigation took the form of case study with findings submitted to content analysis. The results show that beekeepers recognized benefits derived from participation in the network, especially as related to cooperative purchasing, access to government credit and training in honey production processes. However, the synergy of the network was not fully exploited as half the interviewees reported not using the network logo on their products.
Analog Circuit Diagnosis Using RBF Network and D-S Evidential Reasoning

In order to solve the possible problems in neural-network based analog fault diagnosis including lack of fault information,slow training speed and difficult converge,a novel data-fusion based fault diagnosis approach for analog circuits is presented by using radial basis function (RBF) networks and D-S evidential reasoning. The manifold transducer information and symptoms were utilized in diagnosis. The map from symptom space to fault pattern space was constructed by the separate RBF network for each kind of symptom information. The output results of every RBF network were then aggregated using the D-S evidential reasoning algorithm. Fault location was accomplished based on the synthesis decision regulation. The experimental results show that the proposed approach can effectively combine the evidences to produce a more accurate diagnosis and has the capability to diagnose catastrophic and parametric faults of analog circuits with tolerance.
On the energy harvesting via doubly curved piezoelectric panels

This article presents an analytical solution for power output from a doubly curved piezoelectric energy harvester. The energy harvester is made of an elastic core layer coupled with one or two surface-bonded piezoelectric layers. Five mechanical equations of motion together with Gauss’s equation are derived on the basis of first-order shell theory and solved simultaneously for simply supported mechanical boundary conditions. The influence of structural damping is taken into account using Rayleigh damping. The electromechanical frequency response functions that relate the power output and circuit load resistance are identified from the exact solutions. Finally, the performance of the system is analyzed extensively for different parameters such as type of energy harvester including unimorph and bimorph panel in series or parallel connections of piezoelectric layers, circuit load resistance, geometrical parameters, and material properties of core and piezoelectric layers.
Development of Conical Horn Feed For Reflector Antenna

We have designed a antenna feed with prime concerned that with the growing conjunctions in the mobile networks, the parabolic antenna are evolving as an useful device for point to point communications where the need for high directivity and high power density is at the prime importance. With these needs we have designed the unusual type of feed antenna for parabolic dish that is used for both reception and transmission purpose. This different frequency band performance having horn feed, works for the parabolic reflector antenna. We have worked on frequency band between 4.8 GHz to 5.9 GHz for horn type of feed. Here function of the horn is to produce uniform phase front with a larger aperture than that of the waveguide and hence greater directivity. Parabolic dish antenna is the most commonly and widely used antenna in communication field mainly in satellite and radar communication.
AFESSD: Object Detector for Natural Gas Pipeline Construction Scene

Object detection is a challenging task in computer vision, which aims to classify and locate objects. SSD (Single Shot MultiBox Detector) is one of the classical algorithms in the current object detection field, which uses multiple feature maps with different scales to detect all objects in an image. Based on SSD, in this paper, we propose an improved AFESSD for object detection in natural gas pipeline construction scene: Firstly, the attention mechanism module is introduced; Secondly, Feature Fusion Block and Feature Enhancement Block are designed to achieve high-to-low level feature information fusion and enhancement. Finally, we verify AFESSD on two object detection datasets of natural gas pipeline construction scene. Experimental results on the first dataset demonstrate that SSD and AFESSD achieve 81.35% and 83.13% mean average precision (mAP) respectively. On the second dataset, SSD and AFESSD achieve 50.55% and 50.99% mAP respectively. Therefore, AFESSD improves SSD’s object detection accuracy in natural gas pipeline construction scene.
Gesture recognition real-time control system based on YOLOV4

With the development of industrial information technology in recent years, gesture control has attracted wide attention from scholars. Various gesture control methods have emerged, such as visual control, wearable device control, magnetic field feature extraction control. Based on one of the visual gesture control methods, this paper proposes a visual gesture control method applied to music box control by combining YOLOv4 object detection network. We design seven main gestures, reconstruct gesture datasets, and retrain the YOLOv4 object detection network by the means of the self-built datasets, further build a music box gesture control system. In this paper, we obtain the recognition accuracy of 97.8% for the object detection network in the gesture control system after a series of experiments, and recruit eight volunteers to conduct experimental tests on the self-built gesture-controlled music box system, mainly to quantify the time of executing a single command, attention concentration, etc. The results show that compared with the traditional control method, the visual gesture control method ensures the accuracy while has a faster response speed and takes up less of the user’s attention.
Where, When & Which Concepts Does AlphaZero Learn? Lessons from the Game of Hex

AlphaZero, an approach to reinforcement learning that couples neural networks and Monte Carlo tree search (MCTS), has produced state-of-the-art strategies for traditional board games like Chess, Go, and Hex. While researchers and game commentators have suggested that AlphaZero uses concepts humans consider important, it is unclear how these concepts are represented in the network. We investigate AlphaZero’s representations in Hex using both model probing and behavioral tests. We find that the MCTS search initially finds important concepts, and then the neural network learns to encode these concepts. Concepts related to short-term end-game planning are best encoded in the final layers of the model, whereas concepts related to long-term planning are encoded in the middle layers of the model.
Massive Open Online Courses (MOOCs): A Higher Education Leadership Perspective

Information technology is not new to academia. Numerous educators and research scholars studying the usefulness of digital technologies in the classroom seek to determine whether the underlying pedagogies effectively bridge the gap between quality of instruction, student engagement, and eventual acceptance of the technology tool in use. With the increase and sophistication in the delivery of online courses in colleges across the country, we now see the recent emergence of an online course structure called Massive Open Online Courses, MOOCs (Sandeen, 2014). MOOCs have intensified the interest and desire for students and universities to become engaged in educational opportunities by thinking of new and advanced systems for content delivery. The MVLE scale and model was designed as a research study to provide academic leaders with an instrument to assist them in the design and delivery of a MOOC based on factors specific to the MVLE: general systems, pedagogy, social presence, individual characteristics, and satisfaction. Implications for leadership that can be made from this study include administrator perspectives as they relate to MVLE constructs, a general understanding of the MOOC learner, and, how this understanding can impact instructional delivery and design, and the ongoing support of faculty by academic leaders in the form of professional online learning communities. The purpose of this study was (1) to explore student perceptions of the MOOC Virtual Learning Environment Scale or MVLE, characteristics including general systems, pedagogy, social presence, individual characteristics and satisfaction, (2) to examine the interrelationships between theorized MOOC virtual learning environment technology constructs, (3) to develop a conceptual model of the MVLE to create and validate a MOOC Virtual Learning scale, and (4) to understand administrator’s perceptions of the characteristics of MOOCs and their futuristic views of MOOCs. The major
AUTOMATIC EXPLOIT GENERATION FOR BUFFER OVERFLOW BASED ON SYMBOLIC EXECUTION

The rapid growth of the software scale and quantity has brought severe challenges to software security research . It is difficult to perform vulnerability assessment by analyzing the vulnerability manually . This paper analyzed the principle of buffer overflow and proposed an automatic exploit generation method . The method used symbolic execution to detect vulnerabilities . To alleviate the state explosion of symbolic execution ， we pruned the states according to the slice of unsafe function calls . For detected vulnerabilities ， exploit was automatically generated by constructing constraint expressions and constraint solving . In the case that there was no enough controllable memory block in the process ， we segmented shellcode to construct the exploit . The experimental results show that the method can detect vulnerabilities and generate exploit with good applicability automatically .
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons

A common problem in recommendation systems is to learn a model of user preferences based only on comparisons of the relative attractiveness of different items. We consider this problem in the context of an ideal point model of user preference, where each user can be represented as a point in a low-dimensional space together with a set of items. In this model, the closer an item is to a user’s ideal point, the more that user prefers the item. When an embedding of items is known a priori, the problem of localizing a user’s ideal point from comparisons amongst items is well studied. However, relatively little work exists on learning embeddings for new items based only on such comparisons. In this paper, we consider the problem of embedding a set of items using paired comparisons from a set of known users. Specifically, we present a novel convex lifted method of learning the embedding representation p1,…,pn ∈ Rn of n items given noisy responses of the form "user uk prefers item pi to item pj" for an arbitrary set of users {uk} in Rd. We provide a range of simulations that validate the efficacy of our approach.
Complete pathological response of post neoadjuvant chemotherapy in colorectal cancer with liver metastasis: a case report

Abstract Treatment of metastatic colorectal cancer has evolved throughout the years and various methods have been proposed to reach a pathological complete response state. We report a case of a 73-year-old male presented with a sigmoid adenocarcinoma with two synchronous liver metastases. The patient received five cycles of FOLFOX neoadjuvant chemotherapy, 41% reduction of tumor size was noted upon reassessment. Therefore, a low anterior resection of the rectum and synchronous resection of segment 5 and 8 of the liver was done along with right-sided diaphragmatic stripping. A pathological complete response was achieved in both primary and secondary tumors that are considered rare and challenging in metastatic colorectal cancer. Neoadjuvant chemotherapy showed promising findings in advanced colorectal cancer.
Influence of glucose on swarming and quorum sensing of Dickeya solani

Dickeya solani is a pathogen most frequently responsible for infecting potato plants in Europe. As in the case of most plant pathogens, its ability to colonize and invade the host depends on chemotaxis and motility. The coordinated movement of Dickeya over solid surfaces is governed by a quorum sensing mechanism. In D. solani motility is regulated by ExpI-ExpR proteins, homologous to luxI-luxR system from Vibrio fisheri, in which N-acyl-homoserine lactones (AHLs) serve as signaling molecules. Moreover, in many Gram-negative bacteria motility is coupled with central metabolism via carbon catabolite repression. This enables them to reach more nutrient-efficient niches. The aim of this study was to analyze the swarming motility of D. solani depending on the volume of the medium in the cultivation plate and glucose content. We show that the ability of this bacterium to move is strictly dependent on both these factors. Moreover, we analyze the production of AHLs and show that the quorum sensing mechanism in D. solani is also influenced by the availability of glucose in the medium and that the distribution of these signaling molecules are different depending on the volume of the medium in the plate.
Epileptic Seizure Detection with Hybrid Time-Frequency EEG Input: A Deep Learning Approach

The precise detection of epileptic seizure helps to prevent the serious consequences of seizures. As the electroencephalogram (EEG) reflects the brain activity of patients effectively, it has been widely used in epileptic seizure detection in the past decades. Recently, deep learning-based detection methods which automatically learn features from the EEG signals have attracted much attention. However, with deep learning-based detection methods, different input formats of EEG signals will lead to different detection performances. In this paper, we propose a deep learning-based epileptic seizure detection method with hybrid input formats of EEG signals, i.e., original EEG, Fourier transform of EEG, short-time Fourier transform of EEG, and wavelet transform of EEG. Convolutional neural networks (CNNs) are designed for extracting latent features from these inputs. A feature fusion mechanism is applied to integrate the learned features to generate a more stable syncretic feature for seizure detection. The experimental results show that our proposed hybrid method is effective to improve the seizure detection performance in few-shot scenarios.
The Hidden Cause of Maculopapular Rash in Interleukin-12 Deficiency

Interleukin-12 RB1 (IL12RB1) deficiency falls under the Mendelian susceptibility to mycobacterial disease. It is a rare genetic disease with autosomal recessive inheritance. It is characterized by recurrent infections with otherwise weak bacteria, such as mycobacteria and Salmonella. Often, when encountering a maculopapular eruption, a drug-related cause comes to mind. However, we report a case of IL12RB1 deficiency presenting with a maculopapular eruption, proven by a skin biopsy to be leukocytoclastic vasculitis. The patient was given antibiotics, which improved her skin lesions. Vasculitis should be considered in the differential diagnosis in patients with IL12RB1 deficiency presenting with a cutaneous eruption.
Interaction of human erythrocyte catalase with air–water interface in cryoEM

Abstract One of the key goals in single-particle cryo-microscopy is to obtain a uniform distribution of particle orientations, so that the three-dimensional structure has isotropic resolution in Fourier space. A common problem arises from the interaction of protein molecules with the air–water interface that exists on both surfaces of the thin film of liquid that is formed prior to plunge-freezing into liquid ethane. Some proteins and other macromolecular complexes are disrupted by interaction with the air–water interface. Other proteins or macromolecules either become concentrated through their interaction with the interface or are excluded because they bind strongly to some other part of the grid or the filter paper used in blotting. In this paper, the interaction of human erythrocyte catalase with the air–water interface is investigated and minimized by the addition of certain detergents. Detergents can form an amphipathic monolayer at the air–water interface that creates a barrier and leaves the molecules free to adopt a variety of orientations, thus facilitating the 3D structure determination. These results suggest that further characterization and development of detergents for cryo-microscopy plunge-freezing would be useful.
Immune Checkpoint Inhibitors in Tumors Harboring Homologous Recombination Deficiency: Challenges in Attaining Efficacy

Cancer cells harbor genomic instability due to accumulated DNA damage, one of the cancer hallmarks. At least five major DNA Damage Repair (DDR) pathways are recognized to repair DNA damages during different stages of the cell cycle, comprehending base excision repair (BER), nucleotide excision repair (NER), mismatch repair (MMR), homologous recombination (HR), and non-homologous end joining (NHEJ). The unprecedented benefits achieved with immunological checkpoint inhibitors (ICIs) in tumors with mismatch repair deficiency (dMMR) have prompted efforts to extend this efficacy to tumors with HR deficiency (HRD), which are greatly sensitive to chemotherapy or PARP inhibitors, and also considered highly immunogenic. However, an in-depth understanding of HRD’s molecular underpinnings has pointed to essential singularities that might impact ICIs sensitivity. Here we address the main molecular aspects of HRD that underlie a differential profile of efficacy and resistance to the treatment with ICIs compared to other DDR deficiencies.
Clinical Presentation and Treatment of Thromboangiitis Obliterans With Superimposed Osteomyelitis

Thromboangiitis obliterans (TAO) is an autoimmune vasculitis that typically presents in male smokers between the ages of 25 and 40. Although TAO primarily affects medium-sized blood vessels, it can also infiltrate small blood vessels as well as nerves and veins. The inflammation can cause segmental thrombosing and occlusion of the blood vessels leading to gangrene and eventual amputations. This case presents a unique sequela of TAO, in which a 28-year-old male with a chronic tobacco smoking history was diagnosed with TAO after presenting with pain and discoloration in his foot, in addition to superimposed osteomyelitis. This case serves to remind emergency clinicians, internal medicine physicians, general practitioners, and infectious disease specialists of the TAO differential in patients presenting with pain and discoloration in the feet, as well as the importance of working up the patient for any superimposed infections.
Reserve and Maintenance in the Aging Brain: A Longitudinal Study of Healthy Older Adults

Abstract The aging brain undergoes structural changes even in very healthy individuals. Quantifying these changes could help disentangle pathologic changes from those associated with the normal human aging process. Using longitudinal magnetic resonance imaging (MRI) data from 227 carefully selected healthy human cohort with age ranging from 50 to 80 years old at baseline scan, we quantified age-related volumetric changes in the brain of healthy human older adults. Longitudinally, the rates of tissue loss in total gray matter (GM) and white matter (WM) were 2497.5 and 2579.8 mm3 per year, respectively. Across the whole brain, the rates of GM decline varied with regions in the frontal and parietal lobes having faster rates of decline, whereas some regions in the occipital and temporal lobes appeared relatively preserved. In contrast, cross-sectional changes were mainly observed in the temporal-occipital regions. Similar longitudinal atrophic changes were also observed in subcortical regions including thalamus, hippocampus, putamen, and caudate, whereas the pallidum showed an increasing volume with age. Overall, regions maturing late in development (frontal, parietal) are more vulnerable to longitudinal decline, whereas those that fully mature in the early stage (temporal, occipital) are mainly affected by cross-sectional changes in healthy older cohort. This may suggest that, for a successful healthy aging, the former needs to be maximally developed at an earlier age to compensate for the longitudinal decline later in life and the latter to remain relatively preserved even in old age, consistent with both concepts of reserve and brain maintenance.
In vivo study for the hemostatic efficacy and foreign body reaction of a new powder-type polysaccharide hemostatic agent

Purpose Various hemostatic agents have been introduced in therapy as postoperative bleeding is a poor prognostic factor for postoperative outcomes. These products can be divided into those that directly promote the hemostatic cascade and those that physically form a barrier by absorbing blood. The latter, powder-type hemostatic agents have the advantages of being inexpensive and more absorbable with less foreign body reactions (FBRs) and are applicable to a relatively wide area. This study was conducted to verify the safety and efficacy of a newly invented polysaccharide product (OOZFIX, Theracion Biomedical), which improves blood absorption and hemostatic effects. Methods Two separate animal experiments were performed. The first evaluated FBRs histologically at 3 days, 2 weeks, and 4 weeks, after implantation of OOZFIX in rats, and the second compared hemostatic performance of OOZFIX and Arista AH (Bard) in the porcine liver punch biopsy model. Results We found minimal FBRs in the 3-day group and no reactions in both the 2-week and 4-week groups after implantation of hemostatic agents. The time to hemostasis of OOZFIX was not significantly different from that of Arista AH (median [interquartile range]: 9 [6–10] minutes vs. 8 [6–10] minutes, respectively; P = 0.522). When comparing the serial bleeding grade tendency, there was no statistical difference between OOZFIX and Arista AH (P = 0.656). Conclusion OOZFIX caused a minimal FBR that disappeared within 2 weeks in vivo, and its hemostatic performance was comparable with that of an existing agent, Arista AH. Further clinical studies are required in the future.
Diuretic Resistance Associated With Heart Failure

Fluid retention is common in patients with heart failure (HF) and diuretics are a major source of management and stabilization. Diuretic resistance (DR) is defined as a failure to achieve therapeutically desired congestion relief despite using an appropriate diuretic dose. In this study, the underlying mechanisms of DR in HF patients are described and several currently available evidence-based strategies to mitigate this condition are provided. Specific aims were to investigate how DR occurs in patients with HF, how HF medications interfere with diuretic treatment, and what alternative methods are available for patients with DR while undergoing treatment for HF. Results provide several rationales for novel strategies used to help reach a state of euvolemia where there is a proper amount of blood in the circulatory system. These include reducing sodium intake, changing the timing of drug administration, and modifying diuretic dose.