Miracle-dz/UniFAR-FTUs huggingface dataset:
RVDet: Feature-level Fusion of Radar and Camera for Object Detection

Obstacle perception based on radar sensor has drawn wide attentions in autonomous driving due to robust performance and low cost. It is significant to utilize fusion, e.g., camera information, to further enhance the radar perception ability. Although much progress has been made, we still observe two problems: First, the spatial alignment among multi-modal data is intractable when involving multiple radar and camera sensors. Second, most existing works are based on object-level fusion, which inevitably has information loss leading to a performance degradation. To this end, we propose a feature-level fusion detection framework based on multiple radars and cameras, termed as the RVDet. We first establish an occupancy grid map by using 4 corner radars and extract radar features in the bird's eye view(BEV). Meantime, the image features of 4 fish-eye cameras are obtained using a pretraining vision detection model. Then, an adaptive projection network is employed to transform all the 4 image features to the BEV domain and integrate them to a dense spatial feature map aligned with the radar feature. Last, the carefully aligned multi-modal feature maps are jointly sent to a deep fusion network to predict final fused detection results. Experiments show that both object detection and positioning performance achieve significant gains by the proposed method in a custom dataset.
Pig manure digestate‐derived biochar for soil management and crop cultivation in heavy metals contaminated soil

Management of heavy metal‐contaminated soil under drought and other harsh hydrological conditions is critical for protecting soil ecosystem services. In this study, we examined the effect of pig manure digestate‐derived biochar as a soil amendment (15 t ha−1) with N fertilizer (180 kg ha−1) on soil and plant heavy metal levels and nutrient availability under various moisture regimes (optimal moisture ~15%, drought condition ≤5%, and flooded condition ≥35% wt.). It was observed that biochar applications significantly decreased heavy metals in the spring wheat plants, lowering Cr by 90%, Ni by 50%, Cd by 9% and Pb by 34% compared to non‐biochar (control) treatments. However, the pig digestate‐derived biochar increased heavy metals in soil under all moisture regimes, increasing soil Cr by 21%, Ni by 43%, Cu by 55%, Zn by 70%, and Pb by 12%. The availability of macroelements also increased with the biochar applications under the optimum moisture regimes in both soil and plants, increasing Mg2+ by 11%, P by 4%, K+ by 50%, and Ca2+ by 56% in the soil, and Mg2+ by 13%, P by 69%, K+ by 29, and Ca2+ by 39% in plants. Biochar addition also improved chlorophyll fluorescence (CF) levels in the crop for the entire season (12th to 62nd day) and the aboveground crop biomass and dry matter contents both increased. Consequently, the use of pig manure digestate‐derived biochar with N fertilizer under normal moisture conditions was able to reduce heavy metal availability to plants and thus could be used in contaminated soils to maintain better crop growth and development.
Dietary Factors and Breast Cancer Prognosis among Breast Cancer Survivors: A Systematic Review and Meta-Analysis of Cohort Studies

Simple Summary While most systematic reviews have focused on the association between dietary factors and breast cancer incidence, this current study focuses on the association between comprehensive dietary factors and breast cancer prognosis among breast cancer survivors by systematic review and meta-analysis. We reviewed a total of 63 cohort studies to assess the association between dietary factors and breast cancer prognosis by subgroup analysis with prediagnostic or postdiagnostic dietary intake, menopausal status, and dietary or supplementary micronutrient intake. We found that unhealthy dietary patterns, including the intake of beer and saturated fat, exacerbated the risk of breast cancer prognosis; however, the supplementation of most vitamins was desirable for breast cancer prognosis. Therefore, this study’s systematic review and meta-analysis provide useful dietary information for the development of dietary guidelines/recommendations to improve prognosis among breast cancer survivors. Abstract Few studies have summarized the association between dietary factors and breast cancer (BC) prognosis among breast cancer survivors (BCS). Therefore, we carried out a systematic review and meta-analysis to determine the associations between dietary factors and BC prognosis among BCS. We performed a literature search in PubMed and Embase to investigate the association between dietary factors and BC prognosis. We applied a random-effects model to compute the hazard ratio/relative risk and their 95% confidence intervals and heterogeneity (Higgins I2) and to generate forest plots using STATA. Among the 2279 papers identified, 63 cohort studies were included in the systematic review and meta-analysis. Our main finding was that higher consumption of beer and saturated fat negatively affected BC prognosis. However, the intake of lignans, fiber, multivitamins, and antioxidants was negatively associated with the risk of mortality. Furthermore, we performed subgroup analyses by menopausal status and dietary or supplementary micronutrient intake. Most trends were similar to the main findings; in particular, the vitamin C, vitamin D, and vitamin E supplements decreased the risk of mortality. This study’s current systematic review and meta-analysis provide comprehensive dietary information for the development of dietary guidelines/recommendations to improve prognosis among BCS.
Preparation of metal nanoparticles by femtosecond laser ablation

Abstract Nanoparticles (NPs) proved to have numerous applications in various fields, including biomedicine and environmental sciences. In this work, we designed and created an apparatus for fabrication of metal NPs directly in liquids initiated by femtosecond laser pulses. The laser parameters leading to ~10 μJ/pulse energy and 0.1 GW peak power resulted in predominantly spherical particles with the sizes varying from <10 nm to ~100 nm in diameter. NPs generated from Cobalt and Zinc targets were smaller in order of magnitude compared to that of Nickel. The fabricated NPs were characterized by scanning electron microscopy, while spectroscopic properties were investigated by absorption spectroscopy and spectrally resolved fluorescence imaging. We also tested the possible interaction of the created NPs with living algae for their potential use for environmental research. Employing such ultrashort laser opens route to provide on-demand production of NP's in-situ at even factory environment.
Promovendo Melhorias na Comunicação e Colaboração em uma Plataforma de Gestão de Conhecimento através de Recomendações

A presente pesquisa propõe modificações para o a.m.i.g. o.s. , uma rede social baseada na web (Web Based Social Network - WBSN). Esta WBSN é usada como ferramenta de comunicação e cooperação dos colaboradores do C.E. S.A. R. - um Instituto de Inovação de Produtos de Software do Recife. Estas modificações estão voltadas para melhorias no sistema automatizado de recomendações do a.m.i.g. o.s. As recomendações possibilitam a filtragem de informações relevantes para cada usuário do sistema. Em conseqüência disso, a comunicação e a colaboração no C.E. S.A. R. tendem a expressivas melhorias.
Flowcharting business processes: a new approach

An article in the Volume 13, Number 2 issue of the Managerial Auditing Journal introduced a comprehensive business process control model that captures the full spectrum of process controls being implemented by world‐class organizations, including value‐adding controls focused on quality, cost and time. The purpose of this article is to demonstrate a new approach to flowcharting business processes which highlights the five broad categories of controls included in the model. This approach clearly shows how the various types of controls interact with process activities and provides a basis for evaluating how effectively these controls contribute to the achievement of business process objectives.
FORMULATION DEVELOPMENT AND EVALUATION OF pH TRIGGERED IN SITU OPHTHALMIC GEL OF BESIFLOXACIN HYDROCHLORIDE

The aim of the present work was to formulation and evaluation of pH Triggered in-situ Ophthalmic Gel of Besifloxacin Hydrochloride to overcome the drawbacks obtained by conventional eye drop. There are two independent variables were used i.e. Carbopol 934 and HPMC K100. Carbopol 934 were used as gelling agent and HPMC K100 were used as bioadhesive polymer. Besifloxacin Hydrochloride shows activity against a wide range of Gram-positive and negative ocular pathogens: examples are Corynebacterium pseudodiphtheriticum, Moraxella lacunata, Staphylococcus aureus, Staphylococcus epidermidis, Streptococcus pneumoniae and Streptococcus salivarius. The in situ gelling system involves sol-to-gel transition in the cul-de-sac upon instillation to avoid pre corneal elimination. The formulations were prepared by 32 factorial design. The prepared formulations were evaluated for clarity, pH, viscosity, Bioadhesive strength of gel, gel strength gel, Drug Content, In-vitro Drug Release Study, Antibacterial Activity, Isotonicity Evaluation, HET-CAM Test and stability studies. The drug content was in the range of 97-99.57 %. Formulation F5 selected as optimized on the basis of evaluation. It shows highest drug release upto 8hrs. It shows good antibiotic activity against Staphylococcus aureus. The optimized formulation was isotonic with blood cells. It passes sterility test. The optimized formulation passes the ocular irritancy test i.e. HET-CAM Test. The formulation kept for the stability study for 3 months. Short term stability study indicates that room temperature 400±20 was appropriate storage condition for formulations. Keywords: pH Triggered, bioadhesive polymer, Carbopol 934, HPMC K100, HET-CAM Test, Antibacterial Activity.
The EdgeNet System

EdgeNet is the prototype of a scalable, sustainable general-purpose testbed for very wide area distributed systems and extremely low-latency distributed services. In this, it is aimed at the same experimenters and systems that formed the core usage of previous, highly-successful wide-area testbeds such as PlanetLab [1], G-Lab [2], V-Node [5], GENI [4], and SAVI [3], and it incorporates many of the features that characterized those previous testbeds. EdgeNet’s goal is to achieve the usability and research value of the previous generations of wide area testbed, whilst offering radical improvements in the scalability and sustainability of those systems. It achieves this scalability and sustainability through a strategy of using industry-standard open-source software as the basis of its software stack, and by a strategy of hardwarefree, bottom-up, site-driven deployment. EdgeNet follows the Seattle [6] and PlanetIgnite [9] strategy of permitting sites to join the testbed with purely local action.
αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based Model

The explosive growth and increasing sophistication of Android malware call for new defensive techniques that are capable of protecting mobile users against novel threats. To combat the evolving Android malware attacks, systems of HinDroid and AiDroid have demonstrated the success of heterogeneous graph (HG) based classifiers in Android malware detection; however, their success may also incentivize attackers to defeat HG based models to bypass the detection. By far, there has no work on adversarial attack and/or defense on HG data. In this paper, we explore the robustness of HG based model in Android malware detection at the first attempt. In particular, based on a generic HG based classifier, (1) we first present a novel yet practical adversarial attack model (named HG-Attack) on HG data by considering Android malware attackers' current capabilities and knowledge; (2) to effectively combat the adversarial attacks on HG, we then propose a resilient yet elegant defense paradigm (named Rad-HGC) to enhance robustness of HG based classifier in Android malware detection. Promising experimental results based on the large-scale and real sample collections from Tencent Security Lab demonstrate the effectiveness of our developed system αCyber, which integrates our proposed defense model Rad-HGC that is resilient against practical adversarial malware attacks on the HG data performed by HG-Attack.
Flexible single-strand fiber-based woven-structured triboelectric nanogenerator for self-powered electronics

Textile or woven-structured triboelectric nanogenerators (TENGs) convert the mechanical energy generated from human motion into electrical energy and they can be used as efficient power sources for wearable and portable devices. However, the existing weaving-based woven-structured TENGs require multiple strands of fibers and have limited stretchability. In this paper, we propose highly stretchable and flexible single-strand fiber-based woven-structured TENGs (FW-TENGs). The proposed FW-TENGs can generate ∼34.4 µW/cm2 power from the continuous contact and separation from skin and demonstrate durability and potential for application in electronic devices. We successfully integrated the proposed FW-TENG into a shoe and harvested the mechanical energy generated from human motion. The FW-TENG is expected to find use in various applications such as e-textiles and smart clothing because it can be manufactured on a large scale.Textile or woven-structured triboelectric nanogenerators (TENGs) convert the mechanical energy generated from human motion into electrical energy and they can be used as efficient power sources for wearable and portable devices. However, the existing weaving-based woven-structured TENGs require multiple strands of fibers and have limited stretchability. In this paper, we propose highly stretchable and flexible single-strand fiber-based woven-structured TENGs (FW-TENGs). The proposed FW-TENGs can generate ∼34.4 µW/cm2 power from the continuous contact and separation from skin and demonstrate durability and potential for application in electronic devices. We successfully integrated the proposed FW-TENG into a shoe and harvested the mechanical energy generated from human motion. The FW-TENG is expected to find use in various applications such as e-textiles and smart clothing because it can be manufactured on a large scale.
P1GS.17 - WO3 Nanowires Decorated with Nickel Oxide Nanoparticles for H2S Detection

Single-step or two-step aerosol assisted chemical vapor deposition methods have been used to grow single crystalline tungsten oxide nanowires loaded with different concentrations of nickel oxide nanoparticles. Working temperatures and nickel loadings were studied and optimized to achieve the optimal working conditions for detecting hydrogen sulfide. Morphology, crystalline structure, composition, sensing properties and mechanisms will be presented and discussed in detail. The twostep method allows for controlling Ni loading in a wide range while keeping constant particle size.
Analysis of Medium-Chain and Long-Chain Chlorinated Paraffins: The Urgent Need for More Specific Analytical Standards

Chlorinated paraffins (CPs) are high production volume chemicals and ubiquitous environmental pollutants. In particular, data about the environmental fate of medium-chain (MCCPs, C14–C17) and long-chain (LCCPs, C≥18) CPs are urgently needed. Their analysis requires elaborate analytical methods and representative analytical standards. Complex mixtures that contain CPs of different carbon chain lengths and degrees of chlorination are currently used for quantification but are impractical when chain length distributions substantially differ between samples and standards. Single-chain CP mixtures of only one carbon chain length but varying degrees of chlorination are more suitable for accurate quantification but are not available for MCCPs and LCCPs. Such standards are useful for homologue pattern deconvolution and response factor calculations. Toxicity and transformation studies on MCCPs and LCCPs are scarce. Respective studies would also benefit from less complex CP standards, e.g., single-chain mixtures or .
A Non-Stationary Heat Spell Frequency, Intensity, and Duration Model for France, Integrating Teleconnection Patterns and Climate Change

The warming observed over the past summers since 2000 is unprecedented in climate records in Europe and especially in France. Extreme temperatures and heat spells were often analyzed in the literature by applying extreme value theory but rarely in a non-stationary (NS) framework and duration modeling is often excluded. For a modern risk-based approach, it is important to have knowledge of the duration, magnitude, and frequency of occurrence of heat spells in a climate variability and change context. Yet, despite their obvious importance, teleconnections and associated climate indices (CIs) have often been excluded from heat spell modelling. The notion of duration is also not easily interpretable in a frequency analysis and can even be subtle, especially in a NS context. In this study, we used time-varying statistical distributions with parameters conditional on covariates representing the time and CIs. The daily maximum temperatures (DMTs) observed at the Orange and Dijon stations in France were used as a case study. This paper highlights a possible relationship between some large-scale climate patterns and the heat spells in France. Overall, the results suggest that considering the combined effect of global warming and these patterns in NS models is useful for a more appropriate characterization of the hazard heat spells in France.
Framework para Modelagem de Processos usando Redes de Petri de Alto-Nível e Regras Ativas: um Enfoque sobre a Eliminação de Dados

O cenário da explosão de dados já era previsto desde 1970 por Alvin Toffler em "Future Shock". A sobrecarga de informação considera um espaço informacional poluído, isto é, contém muita informação de baixa qualidade ou baixa relevância quanto à tarefa que nos propomos. Se a situação atual já nos parece crítica, o aumento crescente e sem controle da quantidade de informação projeta que os problemas desse tipo aumentarão já em curto prazo. Para auxiliar no tratamento desses problemas, este trabalho propõe um framework de modelagem de processos baseados em redes de Petri de alto-nível e regras ativas. Os processos aqui modelados na forma de padrões exemplificam o uso desse framework e são voltados para a eliminação de dados não relevantes e desnecessários. Os padrões propostosintegram as perspectivas de fluxos de controle e de dados em um modelo único de descrição.
0.395 THz Surface Wave Oscillator for DNP-NMR Applications

The simulation and design of an oversized, two-dimensional, periodic surface lattice (2D PSL) interaction cavity used within a 0.395 THz, pulsed radiation source is presented. Powerful, pulsed radiation with good spectral purity is demonstrated. The device is well-suited for use in DNP-NMR spectroscopy and has numerous other applications due to the scalability of the interaction cavity allowing for radiation output at different frequencies. The device exploits the coupling of volume and surface fields in the 2D PSL interaction cavity to excite a single cavity eigenmode. The observed output power is 13.5kW and the efficiency of the device is 27%
The Relationship Between Primary Sleep Disorders and Temporomandibular Disorders: An 8-Year Nationwide Cohort Study in South Korea

Background While evidence is accumulating to propose a specific contribution of sleep disorders and low quality sleep in the pathogenesis of temporomandibular disorders (TMD), management of primary sleep disorders in the process of preventing and treating TMD still remains scientifically unsupported. Objective To investigate the association of primary sleep disorders with TMD risk in South Korea. Patients and Methods This study was based on the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) of South Korea with 468,882 participants. After excluding participants diagnosed in 2002, those with a diagnosis of a primary sleep disorder in 2003–2005 were recruited. All participants diagnosed with TMD between January 1, 2006 and December 31, 2013 received follow-up. Cox proportional hazards regression was performed to determine the adjusted hazard ratios (aHR) and 95% confidence interval (CI) for TMD according to the presence or absence of a primary sleep disorder diagnosis. Results After adjusting for all covariates, primary sleep disorder patients had a 44% higher risk for TMD compared with non-sleep disorder participants (aHR 1.44, 95% CI 1.02–2.04). The incidence rate of TMD was nearly twice as high in participants with sleep disorders compared with those without (6.08 vs 3.27, per 104 person-years). In subgroup analysis, an association was observed with those over 60 years old or who frequently exercised physically. Conclusion Primary sleep disorders could be an important independent risk factor for the initiation and maintenance of TMD. Patients with sleep disorders should be monitored for possible co-occurrence of TMD-related symptoms that could aggravate sleep disorders in turn.
ANATOMICAL STUDIES ON THE CRANIAL NERVES AND CRANIAL GANGLIA OF ANGUILLA ANGUILLA (LINNAEUS, 1758) EYE MUSCLE NERVES

The aim of this study is to analyze the ocular muscle nerves and the ciliary ganglion of the anguillid fish Anguilla anguilla. The ocular muscle nerves comprise the nervi oculomotorius, trochlearis and abducens. The oculomotor nerve leaves the cranial cavity together with the nervus abducens through a common foramen. It innervates four eye muscles rectus superior, rectus inferior, rectus medialis and the obliquus inferior muscles. It carries pure somatic motor fibers and visceromotor (parasympathetic) ones. There is no ciliary ganglion but, there is one ciliary nerve arising from the nervus oculomotorius. The trochlear nerve has its own foramen and carries pure somatic motor fibers to the superior obliquemuscle. The abducens nerve has a single root. It leaves the cranial cavity through a common foramen together with the nervus oculomotorius. It carries pure somatic motor fibers to the rectus lateralis muscle.
In2Rec: Influence-based Interpretable Recommendation

Interpretability of recommender systems has caused increasing attention due to its promotion of the effectiveness and persuasiveness of recommendation decision, and thus user satisfaction. Most existing methods, such as Matrix Factorization (MF), tend to be black-box machine learning models that lack interpretability and do not provide a straightforward explanation for their outputs. In this paper, we focus on probabilistic factorization model and further assume the absence of any auxiliary information, such as item content or user review. We propose an influence mechanism to evaluate the importance of the users' historical data, so that the most related users and items can be selected to explain each predicted rating. The proposed method is thus called Influencebased Interpretable Recommendation model (In2Rec). To further enhance the recommendation accuracy, we address the important issue of missing not at random, i.e., missing ratings are not independent from the observed and other unobserved ratings, because users tend to only interact what they like. In2Rec models the generative process for both observed and missing data, and integrates the influence mechanism in a Bayesian graphical model. A learning algorithm capitalizing on iterated condition modes is proposed to tackle the non-convex optimization problem pertaining to maximum a posteriori estimation for In2Rec. A series of experiments on four real-world datasets (Movielens 10M, Netflix, Epinions, and Yelp) have been conducted. By comparing with the state-of-the-art recommendation methods, the experimental results have shown that In2Rec can consistently benefit the recommendation system in both rating prediction and ranking estimation tasks, and friendly interpret the recommendation results with the aid of the proposed influence mechanism.