Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising

In online advertising, the Internet users may be exposed to a sequence of different ad campaigns, i.e., display ads, search, or referrals from multiple channels, before led up to any final sales conversion and transaction. For both campaigners and publishers, it is fundamentally critical to estimate the contribution from ad campaign touch-points during the customer journey (conversion funnel) and assign the right credit to the right ad exposure accordingly. However, the existing research on the multi-touch attribution problem lacks a principled way of utilizing the users' pre-conversion actions (i.e., clicks), and quite often fails to model the sequential patterns among the touch points from a user's behavior data. To make it worse, the current industry practice is merely employing a set of arbitrary rules as the attribution model, e.g., the popular last-touch model assigns 100% credit to the final touch-point regardless of actual attributions. In this paper, we propose a Dual-attention Recurrent Neural Network (DARNN) for the multi-touch attribution problem. It learns the attribution values through an attention mechanism directly from the conversion estimation objective. To achieve this, we utilize sequence-to-sequence prediction for user clicks, and combine both post-view and post-click attribution patterns together for the final conversion estimation. To quantitatively benchmark attribution models, we also propose a novel yet practical attribution evaluation scheme through the proxy of budget allocation (under the estimated attributions) over ad channels. The experimental results on two real datasets demonstrate the significant performance gains of our attribution model against the state of the art.
Aktualisierte S3-Leitlinie der Deutschen Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten (DGVS) und der Deutschen Gesellschaft für Allgemein- und Viszeralchirurgie (DGAV) zur Prävention, Diagnostik und Behandlung von Gallensteinen

Zusammenfassung Die Leitlinie zur Prävention, Diagnostik und Therapie von Gallensteinen aktualisiert die Leitlinie der Deutschen Gesellschaft für Gastroenterologie, Verdauungs- und Stoffwechselkrankheiten und der Deutschen Gesellschaft für Allgemein- und Viszeralchirurgie aus dem Jahr 2007. Die Leitlinie wurde interdisziplinär von Gastroenterologen und Chirurgen erstellt. Sie basiert auf den Empfehlungen der Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften für eine systematische evidenzbasierte Konsensus-Leitlinie der Entwicklungsstufe S3 und berücksichtigt die klinische Anwendbarkeit der Studienergebnisse. Zudem werden Präventionsmöglichkeiten beschrieben, Qualitätsindikatoren definiert, ökonomische Auswirkungen berücksichtigt und Vorschläge zur sektorenübergreifenden Behandlung von Patienten mit Gallensteinerkrankungen formuliert.
Restoration of the nasopharyngeal response after bilateral sectioning of the anterior ethmoidal nerve in the rat

In response to stimulation of the nasal passages with volatile ammonia vapors, the nasopharyngeal reflex produces parasympathetically mediated bradycardia, sympathetically mediated increased peripheral vascular tone, and apnea. The anterior ethmoidal nerve (AEN), which innervates the anterior nasal mucosa, is thought to be primarily responsible for providing the sensory afferent signals that initiate these protective reflexes, as bilateral sectioning causes an attenuation of this response. However, recent evidence has shown cardiovascular responses to nasal stimulation with ammonia vapors are fully intact 9 days after bilateral AEN sectioning, and are similar to control animals without bilaterally sectioned AENs. To investigate this restoration of the nasopharyngeal response, we recorded the cardiorespiratory responses to nasal stimulation with ammonia vapors immediately after, and 3 and 9 days after, bilateral AEN sectioning. We also processed brainstem tissue for Fos to determine how the restoration of the nasopharyngeal response would affect the activity of neurons in the medullary dorsal horn (MDH), the part of the ventral spinal trigeminal nucleus caudalis region that receives primary afferent signals from the nose and nasal passages. We found 3 days after bilateral AEN sectioning the cardiorespiratory responses to nasal stimulation are partially restored. The bradycardic response to nasal stimulation is significantly more intense 3 days after AEN sectioning compared to Acute AEN sectioning. Surprisingly, 3 days after AEN sectioning the number of Fos‐positive neurons within MDH decreased, even though the cardiorespiratory responses to nasal stimulation intensified. Collectively these findings indicate that, besides the AEN, there are alternate sensory pathways that can activate neurons within the trigeminal nucleus in response to nasal stimulation. The findings further suggest trigeminal neuronal plasticity involving these alternate sensory pathways occurs in as few as 3 days after bilateral AEN sectioning. Finally, activation of even a significantly reduced number of MDH neurons is sufficient to initiate the nasopharyngeal response.
Academic Palliative Care Research in Portugal: Are We on the Right Track?

Background: The narrow link between practice, education, and research is essential to palliative care development. In Portugal, academic postgraduate publications are the main booster for palliative care research. Methods: This is a bibliometric study that aims to identify Portuguese palliative care postgraduate academic work published in electronic academic repositories between 2000 and 2015. Results: 488 publications were identified. The number of publications has increased, especially in the last five years. The most frequently used method was quantitative, healthcare professionals were the most studied participants, and psychological and psychiatric aspects of care comprised the most current theme. Practice-based priorities are financial costs and benefits of palliative care, awareness and understanding of palliative care, underserved populations, best practices, communication, and palliative care in nonhospital settings. Conclusion: The number of palliative care postgraduate academic publications has increased in Portugal in the past few years. There is academic production in the eight domains of quality palliative care and on the three levels of recommendation for practice-based research priorities. The major research gaps in Portugal are at the system and societal context levels.
Bovine Neonatal Pancytopenia-Associated Alloantibodies Recognize Individual Bovine Leukocyte Antigen 1 Alleles

Bovine neonatal pancytopenia (BNP) was a vaccine-induced alloimmune disease observed in young calves and characterized by hemorrhages, pancytopenia, and severe destruction of the hematopoietic tissues. BNP was induced by alloreactive maternal antibodies present in the colostrum of certain cows vaccinated with a highly adjuvanted vaccine against bovine viral diarrhea. Bioprocess impurities, originating from the production cell line of the vaccine, are likely to have induced these alloreactive antibodies. One prominent alloantigen recognized by vaccine-induced alloantibodies is highly polymorphic bovine major histocompatibility complex class I antigen (bovine leukocyte antigen 1—BoLA I). Aim of this study was to define the fine specificity of BNP-associated anti-BoLA I alloantibodies. In total, eight different BoLA I alleles from the production cell line were identified. All genes were cloned and recombinantly expressed in murine cell lines. Using these cells in a flow cytometric assay, the presence of BoLA I specific alloantibodies in BNP dam sera was proven. Three BoLA I variants were identified that accounted for the majority of vaccine-induced BoLA I reactivity. By comparing the sequence of immunogenic to non-immunogenic BoLA I variants probable minimal epitopes on BoLA I were identified. In general, dams of BNP calves displayed high levels of BoLA I reactive alloantibodies, while vaccinated cows delivering healthy calves had significantly lower alloantibody titers. We identified a subgroup of vaccinated cows with healthy calves displaying very high alloantibody titers. Between these cows and BNP dams no principle difference in the BoLA I reactivity pattern was observed. However, with a limited set of dam-calf pairs it could be demonstrated that serum from these cows did not bind to BoLA I expressing leukocytes of their offspring. By contrast, when testing cells from surviving BNP calves with the corresponding dam’s serum there was significant binding. We therefore conclude that predominantly highly alloreactive cows are at risk to induce BNP and it depends on the paternally inherited BoLA I whether or not the calf develops BNP.
The role of risky behaviors and health education in college students’ health information acquisition on the internet

Prior research shows that students use the Internet as a main source of health information. When starting college, students get greater autonomy over their behaviors and responsibility for their own health, which creates a number of health‐related information needs. As a result of this newly acquired autonomy, students also frequently engage in various risky behaviors, putting their well‐being in jeopardy. This study aimed to answer whether the self‐reported frequency in which students engage in risky behaviors and their enrollment in health‐related courses affect how frequently they obtain health‐related information. A novel aspect of this study is that it incorporated both intentional and opportunistic information acquisition. An analysis of online survey responses from 810 undergraduates attending a mid‐western U.S. university showed that the frequency of their engagement in risky behaviors (e.g., the use of substances and alcohol and engagement in high‐risk sexual activities) is not significantly associated with the frequency of neither intentional nor opportunistic health information acquisition on the Internet. However, students enrolled in health‐related courses more frequently obtain health information by both intentional search and opportunistic discovery. This opportunistic style of was often described in the literature using terms such as passive, unintentional, accidental, serendipitous, encountering or acquiring by chance. The study findings provide valuable directions for librarians and health educators on how to design new and improve existing e‐health literacy instructions to better suit students’ current needs and information behavior patterns.
Gualou Guizhi decoction promotes neurological functional recovery and neurogenesis following focal cerebral ischemia/reperfusion

Recovery following stroke involves neurogenesis and axonal remodeling within the ischemic brain. Gualou Guizhi decoction (GLGZD) is a Chinese traditional medicine used for the treatment of post-stroke limb spasm. GLGZD has been reported to have neuroprotective effects in cerebral ischemic injury. However, the effects of GLGZD on neurogenesis and axonal remodeling following cerebral ischemia remain unknown. In this study, a rat model of focal cerebral ischemia/reperfusion was established by middle cerebral artery occlusion. Neurological function was assessed immediately after reperfusion using Longa's 5-point scoring system. The rats were randomly divided into vehicle and GLGZD groups. Rats in the sham group were given sham operation. The rats in the GLGZD group were intragastrically administered GLGZD, once daily, for 14 consecutive days. The rats in the vehicle and sham groups were intragastrically administered distilled water. Modified neurological severity score test, balance beam test and foot fault test were used to assess motor functional changes. Nissl staining was performed to evaluate histopathological changes in the brain. Immunofluorescence staining was used to examine cell proliferation using the marker 5-bromo-2′-deoxyuridine (BrdU) as well as expression of the neural precursor marker doublecortin (DCX), the astrocyte marker glial fibrillary acidic protein (GFAP) and the axon regeneration marker growth associated protein-43 (GAP-43). GLGZD substantially mitigated pathological injury, increased the number of BrdU, DCX and GFAP-immunoreactive cells in the subventricular zone of the ischemic hemisphere, increased GAP-43 expression in the cortical peri-infarct region, and improved motor function. These findings suggest that GLGZD promotes neurological functional recovery by increasing cell proliferation, enhancing axonal regeneration, and increasing the numbers of neuronal precursors and astrocytes in the peri-infarct area.
A parallel portfolio approach to configuration optimization for large software product lines

Software product line (SPL) engineering demands for optimal or near‐optimal products that balance multiple often competing and conflicting objectives. A major challenge for large SPLs is to efficiently explore a huge space of various products and satisfy a large number of predefined constraints simultaneously. To improve the optimality and convergence speed, we propose a parallel portfolio approach, called IBEAPORT, which designs three algorithm variants by incorporating constraint solving into the indicator‐based evolutionary algorithm in different ways and performs these variants by utilizing parallelization techniques. Our approach utilizes the exploration capabilities of different algorithms and improves optimality as far as possible within a limited time budget. We evaluate our approach on five large‐scale real‐world SPLs. Empirical results demonstrate that our approach significantly outperforms the state of the art for all five SPLs on a quality indicator and a diversity indicator. Moreover, IBEAPORT quickly converges to a relatively stable hypervolume value even for the largest SPL with 6888 features.
SAGNet

We present SAGNet, a structure-aware generative model for 3D shapes. Given a set of segmented objects of a certain class, the geometry of their parts and the pairwise relationships between them (the structure) are jointly learned and embedded in a latent space by an autoencoder. The encoder intertwines the geometry and structure features into a single latent code, while the decoder disentangles the features and reconstructs the geometry and structure of the 3D model. Our autoencoder consists of two branches, one for the structure and one for the geometry. The key idea is that during the analysis, the two branches exchange information between them, thereby learning the dependencies between structure and geometry and encoding two augmented features, which are then fused into a single latent code. This explicit intertwining of information enables separately controlling the geometry and the structure of the generated models. We evaluate the performance of our method and conduct an ablation study. We explicitly show that encoding of shapes accounts for both similarities in structure and geometry. A variety of quality results generated by SAGNet are presented.
Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption

This paper proposes a secure surveillance framework for Internet of things (IoT) systems by intelligent integration of video summarization and image encryption. First, an efficient video summarization method is used to extract the informative frames using the processing capabilities of visual sensors. When an event is detected from keyframes, an alert is sent to the concerned authority autonomously. As the final decision about an event mainly depends on the extracted keyframes, their modification during transmission by attackers can result in severe losses. To tackle this issue, we propose a fast probabilistic and lightweight algorithm for the encryption of keyframes prior to transmission, considering the memory and processing requirements of constrained devices that increase its suitability for IoT systems. Our experimental results verify the effectiveness of the proposed method in terms of robustness, execution time, and security compared to other image encryption algorithms. Furthermore, our framework can reduce the bandwidth, storage, transmission cost, and the time required for analysts to browse large volumes of surveillance data and make decisions about abnormal events, such as suspicious activity detection and fire detection in surveillance applications.
Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned

Most existing work on predicting NCAAB matches has been developed in a statistical context. Trusting the capabilities of ML techniques, particularly classification learners, to uncover the importance of features and learn their relationships, we evaluated a number of different paradigms on this task. In this paper, we summarize our work, pointing out that attributes seem to be more important than models, and that there seems to be an upper limit to predictive quality.
Experimental Strain Energy Density Dissipated in SAC305 Solder Joints During Different Thermal Cycling Conditions Using Strain Gages Measurements

Despite being widely investigated for the last two decades, solder joints thermomechanical durability assessment remains a major concern for industries wishing to switch from lead-based (SnPb) to lead-free electronics. Amongst the variety of lead-free solder compositions, 96.5Sn-3.0Ag-0.5Cu (SAC305) solder alloy has become the preferred substitute to classic SnPb solders. However, unlike SnPb assemblies, the return on experience is limited and the microstructure is very different for SAC305 solder joints. The use of SAC305 solder paste requires to understand the mechanical and fatigue behaviors of the soldered interconnects. This paper presents the experimentation based on strain gages measurements, allowing the determination of the shear stress-strain response of SAC305 solder joints subjected to different thermal cycling conditions. The area of the experimental shear strain-stress hysteresis loops gives the values of the strain energy density corresponding to each thermomechanical loading. The finite element modeling of the test assembly showed a good correlation between experimental and numerical strain energy densities. The experimental shear strain-stress curves also provide the necessary data to derive SAC305 solder joints constitutive laws.
Time trends in suicide rates by domestic gas or car exhaust gas inhalation in Japan, 1968–1994

Abstract Aims A reduction in the carbon monoxide content of domestic gas and car exhaust gas has been associated with a decrease in gassing suicides in many western countries. In Japan, a reduction in the carbon monoxide content of domestic gas supply began in the early 1970s, and carbon monoxide emissions standards of new passenger cars were significantly strengthened in 1978. However, little is known about the impact of detoxification of these gases on gassing-related suicides in Japan. Therefore, we examined the changing patterns of suicide due to domestic gas or car exhaust gas inhalation by gender and age in Japan between 1968 and 1994. Methods Suicide mortality data were obtained from the Vital Statistics of Japan. In this study, age was divided into four groups: 15–24, 25–44, 45–64 and 65+ years. Method of suicide was divided into three groups: domestic gas, car exhaust gas and non-gases. We calculated method-specific age-standardised suicide rates by gender within each of the four age groups. We applied joinpoint regression to the data and quantified the observed changes. Results Suicide rates by domestic gas, regardless of gender and age, increased from 1968 to the mid-1970s and then decreased sharply. The proportion of all suicides accounted for by domestic gas was comparatively high in the mid-1970s among females aged 15–24 and 25–44 years, while for other gender-age-groups the proportion of domestic gas suicides remained small, even at the peak. For females aged 15–44 years, the decrease in domestic gas suicides appeared to cause a substantial decrease in overall suicides in this gender/age group. Car exhaust gas was a more common method for males, particularly those aged 25–64 years. Car exhaust gas suicide rates for males aged 25–64 years peaked in the mid-1980s, followed by a sharp decrease. Conclusions A reduction in the carbon monoxide content of the domestic gas, which began in the early 1970s in Japan, was associated with a decrease in domestic gas suicides for both genders of all ages. Concerning females aged 15–44 years, a decrease in domestic gas suicides caused a substantial decrease in overall suicides in this gender/age group since the proportion of domestic gas suicides among all suicides combined was comparatively large. However, it remains uncertain whether the introduction of catalytic converters in the 1970s in Japan resulted in a reduction of suicides from car exhaust gas inhalation.
Understanding training and generalization in deep learning by Fourier analysis

Background: It is still an open research area to theoretically understand why Deep Neural Networks (DNNs)---equipped with many more parameters than training data and trained by (stochastic) gradient-based methods---often achieve remarkably low generalization error. Contribution: We study DNN training by Fourier analysis. Our theoretical framework explains: i) DNN with (stochastic) gradient-based methods often endows low-frequency components of the target function with a higher priority during the training; ii) Small initialization leads to good generalization ability of DNN while preserving the DNN's ability to fit any function. These results are further confirmed by experiments of DNNs fitting the following datasets, that is, natural images, one-dimensional functions and MNIST dataset.
Short-Term Sales Forecast of Perishable Goods for Franchise Business

In a franchise chain system, the franchise organization grants the right to the franchisee to represent and sell its products, but franchisee can only order products from them. Due to the buy-out policy of ordering, franchisee store managers perform demand forecasting and inventory control based on their sales performance and experience. While the products are perishable goods with a very-short preservation time, the ordering strategy tends to be more conservative, to avoid the unsold items that will turn into wastes. This conservative strategy not only limits the profit but also makes the business end earlier. A case study of a bakery franchise business in China which sell bread with one-day preservation time was investigated in this research. More than 10 million of point-of-sales (POS) data were collected and analyzed. In order to provide a better demand forecasting in a relatively short period, we utilize the number of sales in the first few hours and some supporting variables as explanatory variables to predict the number of sales for the rest hours in a single operation day. The regression analysis was compared with one of machine learning method: neural network techniques as the forecasting tools. The experimental result shows that the number of sales in the first few hours can be used to predict the rest of sales in a single day. This approach provides a systematic forecasting model to reduce the waste of the supply chain system.
Detection of Obfuscation Techniques in Android Applications

Current signature detection mechanisms can be easily evaded by malware writers by applying obfuscation techniques. Employing morphing code techniques, attackers are able to generate several variants of one malicious sample, making the corresponding signature obsolete. Considering that the signature definition is a laborious process manually performed by security analysts, in this paper we propose a method, exploiting static analysis and Machine Learning classification algorithms, to identify whether a mobile application is modified by means of one or more morphing techniques. We perform experiments on a real-world dataset of Android applications (morphed and original), obtaining encouraging results in the obfuscation technique(s) identification.