Cross-Modal Travel Route Recommendation Algorithm Based on Internet of Things Awareness

In recent years, the Internet of Things has developed rapidly in people’s lives. This brand-new technology is flooding people’s lives and widely used in many fields, such as medical field, science and technology field, and industry and agriculture field. As a modern technology, the Internet of Things has many characteristics of low power consumption and multifunction, and it also has the characteristics of data-aware computing. This is the characteristic of this new product. In people’s daily life, the Internet of Things is also closely related to people’s daily life. In the tourism industry, the Internet of Things can make the best use of everything and give full play to its various advantages as much as possible. The Internet of Things can perceive cross-modal tourism routes. So here, this paper summarizes various algorithms recommended by the Internet of Things for this tourist route and works out the experimental data methods of these algorithms for cross-modal tourism route recommendation. The proposed algorithm is verified by data simulation, compared with related algorithms. We analyze and summarize the simulation results. At present, there is no comparative analysis of the performance of ant colony algorithm, genetic algorithm, and its optimization algorithm in tourism route recommendation. On the basis of crawling the tourism data in the Internet, this paper applies ant colony algorithm, genetic algorithm, max–min optimization ant colony algorithm, and hybrid ant colony algorithm based on greedy solution to tourism route recommendation and evaluates and compares the algorithms from three aspects: average evaluation score, optimal evaluation score, and algorithm time. Experimental results show that the max–min optimization ant colony algorithm and the hybrid ant colony algorithm based on greedy solution can be effectively applied to automated tourist route recommendation.

Attention-Guided Image Captioning through Word Information

Image captioning generates written descriptions of an image. In recent image captioning research, attention regions seldom cover all objects, and generated captions may lack the details of objects and may remain far from reality. In this paper, we propose a word guided attention (WGA) method for image captioning. First, WGA extracts word information using the embedded word and memory cell by applying transformation and multiplication. Then, WGA applies word information to the attention results and obtains the attended feature vectors via elementwise multiplication. Finally, we apply WGA with the words from different time steps to obtain previous word guided attention (PW) and current word attention (CW) in the decoder. Experiments on the MSCOCO dataset show that our proposed WGA can achieve competitive performance against state-of-the-art methods, with PW results of a 39.1 Bilingual Evaluation Understudy score (BLEU-4) and a 127.6 Consensus-Based Image Description Evaluation score (CIDEr-D); and CW results of a 39.1 BLEU-4 score and a 127.2 CIDER-D score on a Karpathy test split.

A satisfação com o suporte social e o funcionamento familiar numa amostra de adolescentes com e sem irmãos

A satisfação com o suporte social torna-se essencial para o desenvolvimento dos adolescentes, uma vez que contribui para o bem-estar destes. Esta investigação pretende explorar a satisfação com o suporte social e o funcionamento familiar em adolescentes, com e sem irmãos. A amostra foi constituída por 365 participantes, 213 do sexo feminino e 152 do sexo masculino, com idades compreendidas entre os 15 e os 20 anos. Os instrumentos utilizados foram a Escala de Satisfação com o Suporte Social (ESSS) e a Systemic Clinical Outcome and Routine Evaluation (SCORE-15). Foram realizadas correlações de Pearson e verificou-se uma associação negativa entre o suporte social e o funcionamento familiar, isto é, à medida que o suporte social aumenta, as dificuldades familiares diminuem. Efetuaram-se análises de variância multivariada (MANOVA), com vista a analisar as diferenças em relação às variáveis sociodemográficas. Os resultados indicaram que, em função da configuração familiar, verificou-se que adolescentes de famílias com pais casados ou em união de facto apresentam maiores níveis de satisfação com a família comparativamente aos adolescentes com os pais divorciados. No funcionamento familiar verificou-se que os adolescentes com pais divorciados apresentam maiores dificuldades de recursos familiares, de comunicação na família e de dificuldades familiares. Em relação ao sexo, não se verificaram diferenças significativas. Finalmente, não se encontraram diferenças entre adolescentes filhos únicos e os que têm irmãos, relativamente à satisfação com o suporte social, bem como no funcionamento familiar. Assim, sublinha-se a importância de um bom funcionamento familiar, no sentido de contribuir para a qualidade das relações dos adolescentes.

Penilaian Aspek Palemahan Sebagai Bagian Evaluasi Kinerja Sistem Irigasi Subak

ABSTRAK Subak merupakan modal sosial bagi masyarakat Bali yang merupakan warisan irigasi dan pengolahan pertanian. Tujuan dari penelitian ini adalah untuk mengetahui kondisi eksisting dari aspek palemahan. Lokasi penelitian di Subak Meliling, Subak Sungsang dan Subak Gadungan di Kabupaten Tabanan; Subak Bugbug, Subak Tohpati dan Subak Selat berada di Kabupaten Karangasem; Subak Yeh Santang, Subak Yeh Anakan dan Subak Air Sumbul di Kabupaten Jembrana. Komponen Tri Hita Karana dinilai dari nilai evaluasi. Pengumpulan data dilakukan dengan wawancara kuesioner terhadap 9 kepala subak (pekaseh), observasi dan dokumentasi ke lokasi subak yang akan diteliti hasil evaluasi menunjukkan bahwa ketercapaian skor Subak Meliling 4.2 berada pada kategori baik; di Subak Gadungan memperoleh skor 4.5 termasuk kategori baik; dan di Subak Sungsang skor 3.9 termasuk kategori baik; di Subak Tohpati skornya 3.8 dengan kategori baik; pada Subak Bugbug skor 3.7 termasuk dalam kategori baik; dan di Subak Selat skor 4.2 dengan kategori baik; sedangkan di Subak Air Santang mendapatkan skor 3.4 dengan kategori cukup baik; di Subak Yeh Anakan skor 4.1 kategori baik; dan di Subak Air Sumbul skor 4,2 dangan kategori baik. ABSTRACT Subak is a social capital for Balinese, which is a legacy for irrigation and agricultural processing. The purpose of this research was to determine an existing condition of the palemahan aspects. The location of research was in the Meliling subak, the Sungsang Subak and the Gadungan Subak of Tabanan Regency; subak Bugbug, subak Tohpati and subak Selat of Karangasem regency; subak Yeh Santang, subak Yeh Anakan, and subak Air Sumbul of Jembrana Regency. The Tri Hita Karana’s component was assessed by the evaluation score. These datas were collection by questionnaire interviews, observation and documentation of the 9 heads of the subak (pekaseh). The evaluation results show that the achievement of the Subak Meliling score of 4.2 is in good category; at Subak Gadungan was getting score 4.5, belong to a good category; and at Subak Sungsang the score was 3.9, including in good category; in the Tohpathi Subak, the score was 3.8 in the good category; at the Subak Bugbug the score was 3.7, including in the good category; and in the Subak Selat, the score was 4.2 in the good category; while in Subak Air Santang the score was 3.4 in the pretty good category; In Yeh Anakan Subak, the score was 4.1 in the good category; and in Subak Air Sumbul the score was 4.2 in the good category

Medizinische Ereignisse auf Windenergieanlagen offshore – retrospektive Analyse der Behandlungsdaten 2017–2020

Zusammenfassung Hintergrund Insgesamt arbeiten täglich mehrere Tausend Menschen im Offshore-Bereich. Die Arbeit findet regelhaft unter beengten Bedingungen, in Höhen und Tiefen statt, woraus ein erhöhtes Gefahrenpotenzial mit spezifischen Verletzungen resultiert. Weiterhin müssen die Arbeiter in ihren mehrwöchigen Einsätzen allgemeinmedizinisch versorgt werden. Nach erfolgter Digitalisierung der medizinischen Einsatzdokumentation sollen nun die ersten Jahre ausgewertet und vor allem Art und Inzidenz der Notfälle analysiert werden. Methode 4356 Datensätze aus dem Zeitraum Juni 2017 bis Dezember 2020 wurden im Rahmen der Versorgung und Einsatzdokumentation durch das eingesetzte Rettungsfachpersonal mittels digitalem Protokoll erfasst und nun anonymisiert retrospektiv ausgewertet. Ergebnisse Bei den definierten Diagnosegruppen waren am häufigsten die Infektionen (13,2 %) und Atemwegserkrankungen (8,4 %) sowie bei den Unfällen die Traumata der oberen (8,4 %) und unteren (4,6 %) Extremität. Entsprechend zählten 21,2 % der Einsätze zu den traumatologischen Notfällen, 71,1 % zu internistischen und 4,0 % zu sonstigen Erkrankungen. Die meisten Fälle wurden als geringfügige (61,2 %) oder ambulant behandelbare Störungen (23,4 %) eingestuft. Der nur bei vollständigen Datensätzen (n = 884) zu errechnende Schweregrad (Mainz Emergency Evaluation Score) lag im Mittel bei 24,1 ± 2,2 von 28 Punkten. Nur 1,9 % der Patienten wurden per Offshore-Rettungshubschrauber an Land verlegt, 4,0 % konnten mittels „crew transfer vessel“ transportiert werden. Schlussfolgerung Bei den meisten medizinischen Notfällen handelte es sich um minderschwere Ereignisse aus dem internistischen Spektrum mit geringfügiger Störung und ambulanter Behandlung. Bei den traumatologischen Notfällen sind Verletzungen an den Extremitäten führend. War eine Landverlegung erforderlich, geschah diese meist mittels „crew transfer vessel“ und nur zu einem Viertel der Fälle via Offshore-Rettungshubschrauber. Auch hier überwogen internistische Erkrankungen als Transportindikation.

Teaching Mode of Sports Swimming Video in Colleges and Universities Based on Artificial Intelligence

After mankind entered the 20th century, a young science with a history of only 60 years, artificial intelligence technology, is affecting the world in its own unique way. Artificial intelligence technology is known as one of the three major scientific and technological achievements of this century. The applications of artificial intelligence technology include machine learning, expert systems, pattern recognition, natural language processing, artificial neural networks, and robots. Two classes (n = 42) were randomly selected in the experiment, namely, the experimental group and the control group. The control group adopts traditional methods of teacher explanation, demonstration, and practice. The experimental group uses a combination of feedback and traditional teaching methods to teach. The students in the experimental group and the control group are compared in the early and late stages of the swimming skills video. Finally, the characteristic parameters of swimming techniques are compared and analyzed. Experimental data showed that the average score of students in the experimental group was 32.38, and the average score of the control group was 28.43. The average technical evaluation score of the experimental group was 77.19, and the average technical evaluation score of the control group was 72.43. The experimental results show that the video feedback teaching method does play a certain role in improving students’ technical movements and proficiency and improves the quality of teaching.

Bidding for Research Funds. Inter-Fields Differences and Predictors of the Evaluation Scores: Insights from a Romanian National Competition for Postdoctoral Grants

This study sought to address an important gap in the existent knowledge about the development of the Romanian research system by looking at a very specific population of young scholars who participated in the national competition for postdoctoral grants (2016) which included over 900 participants. The paper is structured by two main research objectives. Firstly, the analysis if focused on differences between scientific fields by looking at research entities which host young scholars’ grant proposals, gender balance, young scholars’ academic performance measured through a standardized indicator (Google Scholar H index), share of people trained abroad, and information about the evaluation process. Secondly, a linear regression model is built for the relationship between research proposal’s evaluation score and a series of individuals’ characteristics and structural factors associated to entities which host young scholars’ research proposals. An original database derived from individuals’ CVs allows us to test a series of hypothesis and to reveal significant predictors for grant application’s evaluation score. For instance, individuals’ evaluation score is positively influenced by scholars’ higher Google Scholar H Index, short-term and long-term experiences of formal education or training abroad. At the same time, younger participants and women researchers have statistically significant higher scores for their proposals.