CHA: Categorical Hierarchy-based Attention for Next POI Recommendation

Next Point-of-interest (POI) recommendation is a key task in improving location-related customer experiences and business operations, but yet remains challenging due to the substantial diversity of human activities and the sparsity of the check-in records available. To address these challenges, we proposed to explore the category hierarchy knowledge graph of POIs via an attention mechanism to learn the robust representations of POIs even when there is insufficient data. We also proposed a spatial-temporal decay LSTM and a Discrete Fourier Series-based periodic attention to better facilitate the capturing of the personalized behavior pattern. Extensive experiments on two commonly adopted real-world location-based social networks (LBSNs) datasets proved that the inclusion of the aforementioned modules helps to boost the performance of next and next new POI recommendation tasks significantly. Specifically, our model in general outperforms other state-of-the-art methods by a large margin.

Effectiveness of individualized inhaler technique training on low adherence (LowAd) in ambulatory patients with COPD and asthma

To analyze whether there is improvement in adherence to inhaled treatment in patients with COPD and asthma after an educational intervention based on the teach-to-goal method. This is a prospective, non-randomized, single-group study, with intervention and before-after evaluation. The study population included 120 patients (67 females and 53 males) diagnosed with asthma (70.8%) and COPD (29.1%). The level of adherence (low and optimal) and the noncompliance behavior pattern (erratic, deliberate and unwitting) were determined by the Test of the adherence to Inhalers (TAI). This questionnaire allows you to determine the level of adherence and the types of noncompliance. Low Adherence (LowAd) was defined as a score less than 49 points. All patients received individualized educational inhaler technique intervention (IEITI). Before the IEITI, 67.5% of the patients had LowAd. Following IEITI, on week 24, LowAd was 55% (p = 0.024). Each patient can present one or more types of noncompliance. The most frequent type was forgetting to use the inhaler (erratic), 65.8%. The other types were deliberate: 43.3%, and unwitting: 57.5%. All of them had decreased on the final visit: 51.7% (p = 0.009), 25.8% (p = 0.002), 39.2% (p = 0.002). There were no significant differences in adherence between asthma and COPD patients at the start of the study. The only predicting factor of LowAd was the female gender. An individualized educational intervention, in ambulatory patients with COPD and asthma, in real-world clinical practice conditions, improves adherence to the inhaled treatment.

Exploiting User Friendship Networks for User Identification across Social Networks

Identifying offline entities corresponding to multiple virtual accounts of users across social networks is crucial for the development of related fields, such as user recommendation system, network security, and user behavior pattern analysis. The data generated by users on multiple social networks has similarities. Thus, the concept of symmetry can be used to analyze user-generated information for user identification. In this paper, we propose a friendship networks-based user identification across social networks algorithm (FNUI), which performs the similarity of multi-hop neighbor nodes of a user to characterize the information redundancy in the friend networks fully. Subsequently, a gradient descent algorithm is used to optimize the contribution of the user’s multi-hop nodes in the user identification process. Ultimately, user identification is achieved in conjunction with the Gale–Shapley matching algorithm. Experimental results show that compared with baselines, such as friend relationship-based user identification (FRUI) and friendship learning-based user identification (FBI): (1) The contribution of single-hop neighbor nodes in the user identification process is higher than other multi-hop neighbor nodes; (2) The redundancy of information contained in multi-hop neighbor nodes has a more significant impact on user identification; (3) The precision rate, recall rate, comprehensive evaluation index (F1), and area under curve (AUC) of user identification have been improved.

Mucormycosis Amid COVID-19 Crisis: Pathogenesis, Diagnosis, and Novel Treatment Strategies to Combat the Spread

The havoc unleashed by COVID-19 pandemic has paved way for secondary ominous fungal infections like Mucormycosis. It is caused by a class of opportunistic pathogens from the order Mucorales. Fatality rates due to this contagious infection are extremely high. Numerous clinical manifestations result in damage to multiple organs subject to the patient’s underlying condition. Lack of a proper detection method and reliable treatment has made the management of this infection troublesome. Several reports studying the behavior pattern of Mucorales inside the host by modulation of its defense mechanisms have helped in understanding the pathogenesis of this angio-invasive infection. Many recent advances in diagnosis and treatment of this fungal infection have not been much beneficial. Therefore, there is a need to foster more viable strategies. This article summarizes current and imminent approaches that could aid effective management of these secondary infections in these times of global pandemic. It is foreseen that the development of newer antifungal drugs, antimicrobial peptides, and nanotechnology-based approaches for drug delivery would help combat this infection and curb its spread.

Suitability of Rural Living & Work Facilities, Spatial Behavior of Farmers and Family Income

In recent years, China has put forward policies to improve rural infrastructure and promote the development of rural industries causing to dramatic transition in the living and employment conditions. Moreover, under the pressure of the high expenditure of living and the difficulty of finding jobs, new changes have taken place in the spatial behavior pattern of farmers’ residence and employment. Based on a field survey of 839 observations in 123 villages in Poyang Lake basin, China, we developed indicators to evaluate the suitability of rural living facilities (SLF) and work facilities (SWF). Multinomial logit regression model was used to measure the relationship between SWF, SLF and the spatial behavior patterns of farmers. The results show that: (1) SWF development in rural areas lags behind SLF; (2) Higher SLF is most distributed in suburban areas ; (3) Higher SWF is mostly distributed in suburban towns and characteristic towns; (4) The effects of SLF and SWF on the spatial behavior patterns of farmers are significantly positive; (5) Farmers in the urban-rural amphibious pattern usually obtain a higher income level, and also bring vitality to the countryside.

Разрешение в русском и немецком дискурсе: сходства и различия в реализации модели речевого поведения

The present paper aims to reveal similar and different features when realizing the speech behavior pattern (SPB) of permission in Russian and German. The SPB analysis includes the following major factors to be concerned with: definition of illocutionary purpose of the SPB in terms of Natural Semantic Metalanguage, description of basic grammatical constructions belonging to SBP and identification of communicative-pragmatic factors important for choice of a specific utterance. The possibilities of expressing the SBP of permission in Russian and German are described using the method of the communicative-pragmatic field (CPF). The peculiarities of the field organization in these languages are revealed. The language data are taken from the existing Russian and German corpora.

KENYAMANAN DAN PRIVASI SEBAGAI FAKTOR UTAMA DI KAFE MACARIUS CIREBON

The spreading of café in Cirebon is already increased significantly, one of them is Macarius Café that often used as a place for gathering, discussion or working. Guest as the main user, responded to the space and environment arrangement in defining comfort and privacy. This study is intended to understand the privacy and comfortness of Macarius café based on the guest behavior pattern. The method used in this study is rasionalistic qualitative through behavorial mapping with person centered map. Comfort and privacy in Macarius café become the main factor that affect the seating choice for the guest. Layout 2, 3 and 4 are the area that had the most comfort and privacy, while layout 1 are the area that had the least comfort and privacy.Abstrak: Merebaknya kafe meningkat signifikan salah satunya Kafe Macarius Cirebon yang seringkali digunakan sebagai tempat berkumpul, berdiskusi, mengerjakan tugas dan pekerjaan. Pengunjung kafe sebagai pengguna utama merespon pengaturan ruang dan lingkungan dalam menentukan kenyamanan dan privasinya. Aspek pengguna dan lingkungannya menuntut bangunan untuk dapat memberikan kenyamanan dan privasi. Penelitian ini bertujuan untuk mengetahui kenyamanan dan privasi setting kafe Macarius berdasarkan pola perilaku pengunjung. Metode penelitian yang digunakan kualitatif rasionalistik melalui peta perilaku (Behavioral Mapping) dengan person centered map. Kenyamanan dan privasi pada kafe Macarius menjadi faktor utama yang paling mempengaruhi dalam pemilihan tempat duduk. Area yang memiliki kenyamanan dan privasi tertinggi berada di layout II, III dan IV sedangkan area yang memiliki kenyamanan dan privasi rendah berada di layout I.

Age-old transformation of oil hydrocarbons in polluted Grey-Brown Soil in the Absheron Peninsula

Oil production, transportation and refining are a source of the extensive environmental pollution. The study of oil pollutants allows the identification of their behavior pattern necessary in order to elaborate efficient decontamination technologies. The Absheron oil field is one of the most long-term exploited deposit in the world. Today this area is a unique place to investigate the long-lasting natural oil transformation processes. Grey-Brown Soils contaminated with crude oil 100 and 40 years ago and currently were investigated. Hexane-extractable fraction of oil compounds was examined by chemical methods, gas chromatography and mass spectrometry. In the process of natural degradation, molecular weight of oil hydrocarbons and degree of oxidation significantly increased, while the contents of carbon and hydrogen slightly decreased with time. The results obtained have shown the accumulation of high-molecular weight aromatic molecules with high degree of unsaturation in the upper layer of the soil contaminated 100 years ago. These aromatic structures exhibit the great resistance to decomposition and may be carcinogenic, thus posing a risk to human health. The contamination with oil resulted in altering soil properties. More pronounced change was observed in the soil carbon, including the soil contaminated 100 years ago. Over time after contamination, the soil alkalinity enhanced, whereas soil pH did not change. Our study evidences that oil pollutants continue to be present and the soil properties have not recovered even 100 years after pollution. Reclamation of these areas requires the application of special technologies.

Analisis Tayangan Serial Animasi Upin Dan Ipin Dalam Perkembangan Pola Perilaku Sosial Anak Usia Dini

The research aims at describing the pattern of children social behavior in Upin and Ipin cartoons. This type of research is descriptive qualitative because the data source obtained from dialogue in the form of conversations by Upin, Ipin and friends in episode Our Story part 1 season 5, Beautiful of Syawal part 1-2 season 10, A Sincere of Heart part 1-2 season 5and Need for Achievement spart 1-3 season 12. The instruments used to collect the data are observation, documentation and the researcher herself as the key instrument. The data analyzed qualitatively. The result indicated that there children social behavior pattern found in each of the upin and ipin cartoons, those are cooperation, kind heart, care, help for others and fairness. Upin and Ipin's cartoon can be used as a means of cultivating social behavior patterns because these episodes contain good behavior to be imitated by the children. The development of social behavior patterns needs to be educated since early age so that this does not cause any difficulties in the future. Key words: Upin Ipin Cartoon, Social Behavior, Children

Studying the Role of Personality Traits on the Evacuation Choice Behavior Pattern in Urban Road Network in Different Severity Scales of Natural Disaster

The study of evacuation behavior in response to disaster is necessary for emergency traffic management. As decision-making is not exclusively dependent on observable variables, in this research, it is attempted to study the evacuation choice behavior pattern in emergency response to earthquake disaster by considering both physical and behavioral factors. Personality traits are measured as behavioral latent factors by confirmatory factor analysis (CFA) of the short form of NEO-Five-Factor Inventory (NEO-FFI). A revealed preference survey with more than 700 samples was conducted in Qazvin city (Iran) which was based on real-life earthquake experience and the stated preference survey was conducted for six designated scenarios with different severities and times of earthquakes. Analysis of evacuation behavior is conducted by 3 types of discrete choice models (traditional binary logit model (TBLM), hybrid binary logit model (HBLM), and random parameters/mixed binary logit model (MBLM)). First, TBLM is estimated to study the effect of observable variables on response of people to earthquake disaster. Then, by adding the personality traits to modeling structure and constructing HBLM, the correct prediction percentage of the model increased. This study also considers heterogeneous mixtures of population in terms of income, family size, and five factors of personality traits by MBLM. The MBLM captures the heterogeneous responses of the respondent. By considering these variables as random parameters, the Log Likelihood function and pseudo square (ρ2) of the model increased.