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Em 2015, todos os Estados-membros das Nações Unidas adotaram a Agenda 2030, composta por 17 Objetivos de Desenvolvimento Sustentável (ODS) e 169 metas que já têm impactos marcantes na vida em sociedade de forma global. Este texto busca apresentar criticamente como a Agenda 2030 e os ODS são incorporados na Universidade de Brasília (UnB) como parte do processo de territorialização da Agenda 2030. O artigo utiliza como metodologia uma pesquisa exploratória, a partir da revisão de literatura especializada, bem como uma abordagem SWOT acerca do comportamento institucional. Como resultados, sistematizamos experiências que nos permitiram entender o processo de incorporação dos ODS como forma de impulsionar as capacidades da UnB em ser agente de mudança social.

Machine learning (ML) models often require large volumes of data to learn a given task. However, access and existence of training data can be difficult to acquire due to privacy laws and availability. A solution is to generate synthetic data that represents the real data. In the maritime environment, the ability to generate realistic vessel positional data is important for the development of ML models in ocean areas with scarce amounts of data, such as the Arctic, or for generating an abundance of anomalous or unique events needed for training detection models. This research explores the use of conditional generative adversarial networks (CGAN) to generate vessel displacement tracks over a 24-hour period in a constraint-free environment. The model is trained using Automatic Identification System (AIS) data that contains vessel tracking information. The results show that the CGAN is able to generate vessel displacement tracks for two different vessel types, cargo ships and pleasure crafts, for three months of the year (May, July, and September). To evaluate the usability of the generated data and robustness of the CGAN model, three ML vessel classification models using displacement track data are developed using generated data and tested with real data.

Resumo: Este artigo analisa as evidências sobre a formação em pesquisa qualitativa dos programas de pós-graduação em Saúde Coletiva (PPGSC) credenciados pela Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), no Brasil, no ano de 2021. Para realizar o mapeamento das disciplinas foi consultada a Plataforma Sucupira para a localização dos PPGSC e busca nos portais institucionais. Foram identificadas 98 disciplinas e utilizando a análise temática reflexiva foi possível agrupar a produção dos dados e caracterização das disciplinas nas seguintes macrocategorias de análise: (1) carga horária e modalidade de oferta (obrigatória ou eletiva); (2) objetivos de ensino-aprendizagens; (3) conteúdos (com destaque para investigação dos paradigmas científicos ou diferentes abordagens teórico-metodológicas da investigação qualitativa); e (4) metodologias de ensino-aprendizagens. Dos resultados, destacam-se que: apenas 40,4% são obrigatórias e predominaram os objetivos de ensino-aprendizagem com foco na instrumentalização e habilitar os(as) pós-graduandos (as) na construção dos projetos de pesquisa. 59,3% não informaram o tipo de metodologia de ensino-aprendizagem. Há uma lacuna quanto à utilização das tecnologias e ambientes digitais e predomínio do formato textual. Constatou-se fragilidade na formação epistemológico-teórica. A aprendizagem do paradigma positivista predomina em relação ao paradigma interpretativo de teorias/tradições críticas. Ao final, são sistematizados elementos para um itinerário formativo com graus crescentes de complexidade, intencionalmente estruturado e desenvolvido em um ambiente institucional que propicie decolonialidade e reparação epistêmica.

Introduction: Adolescents face significant challenges in smoking cessation due to a lack of knowledge and low motivation in accessing information, methods, and management of quitting smoking. In this context, the role of peer educators and counselors, who are part of the adolescents' immediate environment, is crucial as it greatly influences their knowledge and attitudes toward quitting smoking. Objectives: This study aims to determine the effect of peer educators and counselors on adolescents' knowledge and attitudes towards smoking cessation. Methods: A quantitative pre-experimental design was employed using a one-group pre-test post-test approach. The research was conducted at a boarding school in Jambi, with a total sampling technique involving 89 male adolescent smokers aged 15-18 years. Bivariate analysis was performed using the non-parametric Wilcoxon Signed Rank Test with a significance level of 5% (0.05), and multivariate analysis was conducted using ordinal regression to assess the influence of confounding factors (age, economic status, psychological state, peers, and family) on adolescents' knowledge and attitudes towards smoking cessation. Results: The results indicated significant differences in adolescents' knowledge and attitudes towards smoking cessation before and after the intervention, with a p-value of 0.000 (p < 0.05). The confounding factors of age, economic status, and family had the most significant influence on adolescents' knowledge, while age, economic status, and peers had the most significant influence on adolescents' attitudes towards smoking cessation. Conclusions: Peer educators and counselors are effective in supporting adolescent efforts to quit smoking. As role models and health advocates, they help adolescents shift their focus away from smoking and increase their curiosity about smoking cessation through continuous counseling and the Upaya Berhenti Merokok (UBM) program, utilizing information media to enhance adolescent knowledge.

The research was carried out at Al-Hanadi Research Station - Lattakia Agricultural Scientific Research Center, during spring season 2020 .To experience the effect of different potassium humate levels 500,1000,1500 ppm as a foliar spray on potato leaves variety Spunta , at 40 and 80% of field capacity humidity . The research involved four treatments with 3 replicates at each irrigation level. A Completely Randomized design was used. Plants were sprayed with potassium humate HA three times, with an interval of ten days after 35 days of planting. The results showed that water stress caused an increase in total soluble sugars, proline content and catalase activity in Spunta potato leaves, but total chlorophyll content was decreased. Potassium humate treatments improved biochemical parameters at 40% of field capacity. Potassium humate 1000 ppm treatment increased significantly total chlorophyll content 0.142 mmol/mg, and total soluble sugars 1.67mg/g in Spunta leaves ,while 1500 ppm treatment increased significantly proline content 45.65 ppm and catalase activity 0.04 mg/g at the same level 40% . Also, at 80% of field capacity, potassium humate 1000 ppm increased the total chlorophyll content 0.140 mmol/mg and proline content in potato leaves 11.63 ppm. Thus, potassium humate can be applied at a concentration 1000 and 1500 ppm to enhance the efficiency of potato plant Spunta tolerance under water shortage conditions.

Um relato de experiência que visa apresentar a sistematização de atendimento para o manejo de crises psíquicas desenvolvida pelo Núcleo de Saúde Mental do Samu-DF. A metodologia, fundamentada nos passos do arco de Maguerez, permitiu desde a identificação das dificuldades dos profissionais no manejo das crises psíquicas até a construção da sistematização denominada “Circuito de Cuidados Psicossociais” para orientar a assistência no serviço pré-hospitalar móvel. O circuito tem como mnemônico “AEIOU”, e cada letra corresponde a um elemento avaliado como necessário na intervenção de crise psíquica. Assim, é possível afirmar que a Educação Permanente em Saúde possibilita uma ação transformadora dos profissionais e da realidade na qual estão inseridos, e a sistematização tem acelerado a consolidação das habilidades necessárias ao atendimento das crises psíquicas.

The syntheses, coordination chemistry, and Mössbauer spectroscopy of hepta-iron(III) complexes using derivatised salicylaldoxime ligands from two categories; namely, ‘single-headed’ (H2L) and ‘double-headed’ (H4L) salicylaldoximes are described. All compounds presented here share a [Fe3-µ3-O] core in which the iron(III) ions are µ3-hydroxo-bridged in the complex C1 and µ3-oxo-bridged in C2 and C3. Each compound consists of 2 × [Fe3-µ3-O] triads that are linked via a central [Fe(µ2-OH)6]3− ion. In addition to the charge balance and microanalytical evidence, Mössbauer measurements support the fact that the triads in C1 are µ3-OH bridged and are µ3-O bridged in C2 and C3.

In this study, the sites of Beit Aana, Al-Qutailbiya, Quorfase and Al-Waha Spring were characterized by high levels of leaching whereas the highest concentrations of ammonium leaching were measured in December 2019 and March 2020, ranging between 5.74 and 5.81 mg/L. However, the lowest concentration (0.97 mg/L) was recorded in February 2020 in the sites of Bestwair, Beit Al-Alouni, Geiboul and Al-Rahbeyia with lower levels of leaching. The highest concentrations of ammonium leaching were obtained during November 2019 and April 2020, ranging between 3.51 and 4.31 mg/L whilst the lowest concentration of ammonium (0.59 mg/L) was determined in January 2020. It was found that the levels of ammonium leaching decreased with depth. The statistical study showed a correlation between ammonium leaching and the following variables: organic matter (OM), the saturated hydraulic conductivity (SHC) and pH. Regression equations representing ammonium leaching in soil horizons and their role were also obtained.

In this study, the effect of the foliar spray with different concentrations of cycocel (600, 800, and 1200 ppm), salicylic acid (50, 100, and 150 ppm), and humic acid (500, 1000, and 1500 ppm) on potato grown under simulated water stress conditions (40% of field capacity) was studied. For that purpose, a completely randomized experiment was conducted in the spring season of 2019-2020 at Al- Hennadi research center, Lattakia, Syria. Potato plants were sprayed with the prepared solutions after 35 days of planting (tuber imitation stage) at ten days intervals three times. Leaf temperature, relative water content, electrolytic leakage, and water use efficiency were measured in treated plants and compared to the control. The results showed that all three substances (cycocel, salicylic acid, and humic acid) improved water stress resistance characteristics in potatoes. Cycocel was the most efficient in increasing relative water content at 1200 ppm concentration. On the other hand, salicylic acid at 50 ppm increased relative water content, water use efficiency, and electrolytic leakage compared to the control.

تضمنت الدراسة الحالية عملية استخلاص سائل- سائل لأيون اللانثانيوم الثلاثي التكافؤ بواسطة الكاشف ((3.1- ثنائي فنيل-5-(p- نتروفينيل) الفورمازان)), وتم دراسة تأثير العوامل المختلفة على النسية المئوية للاستخلاص ومعامل الاستخلاص, ومن هذه العوامل درجة pHالوسط, خلط الطورين, تركيز الأيون المدروس, وأيضا تم دراسة تأثير وجود بعض الأيونات الموجبة المنافسة, وتأثير عملية الاستخلاص على دفعات, بالإضافة لدراسة تأثير نسبة الطور العضوي إلى الطور المائي. أظهرت نتائج هذا البحث بأن الزمن التوازني الأفضل كان عند 90 دقيقة, وأفضل درجة pHكانت عند الدرجة pH=5, أما بالنسبة لعملية الاستخلاص على دفعات أظهرت النتائج أنها غير مؤثرة بنسبة كبيرة, فكان الأفضل الاستخلاص على دفعة واحدة توفيرا للجهد والوقت. كما أن قيمة معامل التوزع ونسبة الانتقال تزداد مع زيادة تركيز أيون اللانثانيوم في الطور المائي وأن هذا السلوك كان متوقع بسبب التفاعل المستمر بين الأيونات و الفورمازان, أما بالنسبة لتأثير وجود بعض الأيونات الموجبة المنافسة لأيون اللانثانيوم فكان التأثير الأكبر لأيون الكروم الثلاثي .(Cr3+) بصورة عامة, ومن خلال نتائج البحث, يلحظ أن كاشف الفورمازان يمكن استخدامه بفعالية في عملية استخلاص اللانثانيوم الثلاثي من المحاليل المائية, واستخدامه لاحقا في استخلاصه من عينات حقيقية مثل المحاليل الناتجة عن الفوسفات والفوسفوجبسوم.

In the maritime environment, the Automatic Identification System (AIS) contains information related to vessel trajectories that can be used to detect unusual maritime occurrences and maritime traffic patterns. To detect such occurrences with supervised learning methods the AIS messages must be manually annotated, which can be a demanding process. Therefore, unsupervised methods are used to identify anomalous traffic patterns based on vessel trajectories. Typically, dense regions of maritime activity are studied to capture common traffic patterns which help identify trajectories that do not follow the norm. However, these approaches cannot detect anomalous behaviors along common pathways or incorporate time-related events into the analysis. Such challenges motivate the approach taken in this work by using auto-regressive techniques to model vessel trajectories and clustering analyses to explore behavior patterns of vessels. Results confirm that the Auto-regressive Integrated Moving Average (ARIMA) and Ornstein-Uhlenbeck (OU) processes are able to model the trajectories and can be used with density-based spatial clustering of applications with noise (DBSCAN), hierarchical clustering (HC), and spectral clustering (SC) to identify different behavioral patterns.

( الفوسفوجبسوم هو نفايات صناعية ضارة تساهم في المشاكل البيئية والاقتصادية العالمية, وتكمن خطورة الفوسفوجبسوم على البيئة المحيطة كتلوث المياه والتربة في المناطق المجاورة بسبب خصائصه الحمضية التي تعود لكبريتات الكالسيوم,إضافة لحمض الفوسفور وحمض الكبريت وتراكيب أخرى كمركبات الفلوريد, والمعادن الثقيلة. هدف البحث الحالي لدراسة المحتوى الكيميائي والعنصري للفوسفوجبسوم لتحديد إمكانية استخدامه في المجالات المختلفة, حيث أظهرت النتائج أن المكون الأساسي هو كبريتات الكالسيوم بنسبة بلغت 68.5%, وكانت نسبة P2O5 في الفوسفوجبسوم 2.7% , أما فيما يتعلق بالمحتوى العنصري, بلغ تركيز كل من Cd , Pb , Cr , Ni, Ce, La على التوالي (6.3, 9.8, 3.42, 3.63, 0.33, , 0.52,)ppm, ويعود سبب وجودها لانتقالها من الفوسفات الخام إلى الفوسفوجبسوم عند عملية تصنيع حمض الفوسفور بالطريقة الرطبة, أما بالنسبة للمحتوى الكيميائي والعنصري للفوسفات الخام المأخوذة من خنيفيس, والذي تم تحديده باستخدام تقنية XRF وتقنية الامتصاص الذري AAS ومطيافية الأشعة فوق البنفسجية UV-VIS, أظهرت نتائج هذا البحث بأن المكون الأساسي للفوسفات الخام هو أكسيد الكالسيوم بنسبة 48.75%, أما P2O5 فقد بلغت نسبته 29.06%, ولدى دراسة المحتوى العنصري من العناصر الثقيلة بالإضافة للسيريوم واللانثانيوم كانت تراكيز كل من Cd, Pb , Cr , Ni, Ce, La على التوالي(9.2, 13.5, 10, 4.58,0.46, 7.02)ppm .أظهرت قيم معامل الانتقال (ETF) انتقال نسبة مرتفعة لكل من السيريوم واللانثانيوم من الفوسفات الخام إلى الفوسفوجبسوم حيث وصلت لنسبة 72.59% للسيريوم و 68.47% للانثانيوم, بصورة عامة يلحظ أن النسبة الأكبر من اللانثانيدات (السيريوم واللانثانيوم) انتقلت إلى الفوسفوجبسوم الناتج من تصنيع حمض الفوسفور بالطريقة الرطبة, في حين أن النسبة الأعلى من P2O5 انتقلت إلى حمض الفوسفور المتشكل.

The future in the services industry belongs to Artificial Intelligence (AI) driven machines, which is a major source of worry for the job market in India. Over 50% of India’s GDP constitutes services, and it is a major source of employment for the skilled manpower of India. The research measures the impact of AI on service jobs in India based on qualitative parameters such as logical, natural, physical, and compassion; and finds which aspect serves the jobs better between machines and humans. The jobs taken over by AI are primarily at the task level more than the job level and for the basic tasks predominantly. The replacement starts with the basic tasks involved in providing service and then it grows to perform all the tasks involved in services. The research finds out that the logical aspects of the service will slowly reduce in the coming 5–10 years as AI will perform all the logic-related tasks leaving more emotional tasks such as compassion for humans. Finally, even these emotional-related tasks will be taken over by the AI which provides us with a very interesting combination of man and machine in the Indian scenario still threatening human employment.

تم في هذه الدراسة تقييم عملية الرشح وانغسال لأيون النترات، من خلال دراسة العوامل المناخية والطبوغرافية لمنطقة السن، وكذلك تقييم دور خصائص التربة للمناطق المدروسة على عملية انتقال أيون النترات في آفاق التربة. وجدت الدراسة تباين في انغسال أيون النترات بين المواقع المدروسة وبين آفاق التربة، حيث بينت الدراسة بأن مواقع بيت عانا، القطيلبية، ونبع الواحة تميزت تربها وآفاقها بسويات مرتفعة للانغسال، تم الحصول على أعلى تركيز لانغسال النترات في شهري تشرين الثاني ونيسان حيث تراوحت التراكيز ضمن المجال (56-72)mg/l، وسجل أخفض تركيز في شهري كانون الثاني وشباط، حيث تراوحت التراكيز ضمن المجال (32-40)mg/l، بينما كانت في المواقع: بسطوير، بيت العلوني، جيبول، قرفيص، والراهبية، ذات سويات انغسال أخفض مقارنة بالمواقع السابقة، وسجل أعلى تركيز لانغسال أيون النترات في شهري تشرين الثاني ونيسان، حيث تراوحت التراكيز ضمن المجال (34-41)mg/l، وسجل أخفض تركيز في شهري كانون الثاني وشباط، وتراوحت التراكيز ضمن المجال (16-24)mg/l. وكانت سويات انغسال أيون النترات تزداد مع العمق حيث سجّل التركيز الأعلى لأيون النترات المنغسل في الأفق الثالث للمواقع المدروسة. أوضحت الدراسة الاحصائية أوضحت أن انغسال أيون النترات N-Leaching للمواقع المدروسة، وضمن الآفاق، ارتبط بمعنوية عالية مع المتغيرين: المادة العضوية (OM) Organic Matter والتوصيل الهيدروليكي المائي المشبع (Hy.cond) .Hydro-conductivity ومن خلال الدراسة تم استنباط معادلات الانحدار، التي تعطي المعادلة الممثلة لانغسال أيون النترات في الآفاق الثلاثة، ودورها في تقييم انغسال أيون النترات في آفاق التربة.

O texto traz reflexões sobre as crises do nosso tempo - acentuadas pela pandemia do Covid19 - e suas interfaces com a Educação Física (EF) e a Saúde Coletiva (SC). A pandemia explicitou questões que estão, de forma direta ou indireta, envolvidas com o contínuo adoecimento coletivo e planetário e suas repercussões na vida em sociedade. Considerar a EF como campo científico fronteiriço entre as ciências humanas e sociais e as ciências biológicas e da saúde, e como movimento ideológico comprometido com a transformação social é fundamental nesse cenário. Pode-se aproveitar que as práticas corporais e atividades físicas se tornaram prioridade no conjunto de políticas e programas de promoção da saúde e desenvolvimento sustentável para resgatar sua natureza multidimensional vinculada à saúde e suas determinações sociais. Para tal, é importante problematizar a linguagem do risco do sedentarismo. A aproximação com a SC favorece tais movimentos.

Substituted [2.2]metaparacyclophanes are amongst the least studied of the simple cyclophanes. This is undoubtedly the result of the lengthy syntheses of these compounds. We report the simple synthesis of a rare example of a non-symmetric [2.2]metaparacyclophane. Treatment of [2.2]paracyclophane under standard nitration conditions gives a mixture of 4-nitro[2.2]paracyclophane, 4-hydroxy-5-nitro[2.2]metaparacyclophane and a cyclohexadienone cyclophane.

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As governments take measures against COVID-19, the epidemic situation is expected to improve, but public sentiment is likely to fluctuate during this process, potentially influencing the best course of action. Social media has become a prevalent way for the public to express emotions and opinions in recent times. So that, the sentiment analysis on top of it may detect and provide valuable evidence of public attitude and help governments subsequent formulation of measures and policies. We present Senti-COVID19, an interactive visual analytic system for reflecting and analyzing public sentiment and detecting sentiment fluctuation triggers on social media. Senti-COVID19 adopts lexicon-based sentiment analysis to divulge the public opinion to COVID-19 events, employing libraries to extract keywords and statistics for providing detailed information. In addition, it offers visualizations for presenting the analysis, allowing users to quickly discover relevant information. Our results show that Senti-COVID19 can be used effectively to analyze sentiment from social media text, allowing users to explore derived data and identify insights from the collected tweets.

In the mixed stands of Fagus sylvatica - Abies borisii-regis in Aspropotamos (central Greece), 90 fir trees and 87 beech trees were randomly selected. Breast height diameter, total tree height and form factor were measured to the sampled trees, while 14 single-entry and 18 double-entry volume models were fitted to data. No double-entry model is selected for either species. The selected singleentry models for the estimation of the A. borisii-regis and F. sylvatica volume fit very well (R2>0.8), while the comparison of the two volume estimation curves reveals that fir has a larger volume than beech, when their diameter is the same. Fir has a mean form factor of 0.331, while beech has a mean form factor of 0.315. The observed form factor differences and different patterns in form factors between the two species can be the result of the differences in their growth (form and ecology).

The Weibull distribution is one of the widely known lifetime distribution that has been extensively used for modelling data in reliability and survival analysis. A generalization of both the Marshall-OlkinWeibull distribution and the Weibull truncated negative binomial distribution is introduced and studied in this article. Various distributional properties of the new distribution are derived. Estimation of model parameters using the method of maximum likelihood is discussed. Applications to a real data set is provided to show the flexibility and potentiality of the new distribution over other Weibull models. The first order autoregressive minification process with the new distribution as marginal is also developed. We hope that the new model will serve as a good alternative to other models available in the literature for modeling positive real data in several areas.

Automatic Identification System (AIS) messages are useful for tracking vessel activity across oceans worldwide using radio links and satellite transceivers. Such data play a significant role in tracking vessel activity and mapping mobility patterns such as those found during fishing activities. Accordingly, this paper proposes a geometric-driven semi-supervised approach for fishing activity detection from AIS data. Through the proposed methodology, it is shown how to explore the information included in the messages to extract features describing the geometry of the vessel route. To this end, we leverage the unsupervised nature of cluster analysis to label the trajectory geometry, highlighting changes in the vessel’s moving pattern, which tends to indicate fishing activity. The labels obtained by the proposed unsupervised approach are used to detect fishing activities, which we approach as a time-series classification task. We propose a solution using recurrent neural networks on AIS data streams with roughly 87% of the overall F-score on the whole trajectories of 50 different unseen fishing vessels. Such results are accompanied by a broad benchmark study assessing the performance of different Recurrent Neural Network (RNN) architectures. In conclusion, this work contributes by proposing a thorough process that includes data preparation, labeling, data modeling, and model validation. Therefore, we present a novel solution for mobility pattern detection that relies upon unfolding the geometry observed in the trajectory.