SOSIALISASI KESADARAN LINGKUNGAN DIFERENSIASI MANGROVE BERBASIS PjBL STEAM PADA PESERTA DIDIK DI PESISIR PULAU AMBON

The socialization of mangrove differentiated environmental awareness based on PjBL STEAM aims to produce high-order thinking skills oriented products by implementing them in learning. In addition to producing art products about mangrove plants. This activity was motivated by the teacher's limitations in empowering participants' awareness of differentiated environment because the design and learning patterns were still traditional based on low-level cognitive achievement. On the other hand, teachers are limited to participating in various activities to support the improvement of their performance and profession including information on developing issues related to the environment as well as competencies and skills in teaching students according to the needs of the times. This activity also aims to introduce teachers to ideal pedagogical competencies in line with the demands of globalization, especially in cultivating and training creative thinking skills about environmental issues for elementary education students

Quality of Antenatal Care Services by Midwives After Training of Integrated Antenatal Care to Pregnant Women in Province of Central Sulawesi

Maternal Mortality Rate in Province of Central Sulawesi was high (122/100,000 live births).Therefore, there needed to conduct a training to improve ability, attitude, and skills of midwives inproviding Antenatal Care Services (ANC). This related to quality of ANC services. An integratedtraining of ANC had been conducted at a province level in 2012. The aim of this study was toanalyse dimensions of quality of ANC services by midwives after training of integrated ANC.This was a qualitative study. Data were collected by conducting observation and indepth interviewtowards 14 main informants consisted of midwives working at health centres who had followed thetraining of integrated ANC in remote and border areas and in an area that had health problems.Meanwhile, informants for triangulation purpose consisted of 14 pregnant women and 6 heads ofMaternal and Child Health (MCH) sections at District Health Office, City Health Office, andProvince Health Office of Central Sulawesi. Furthermore, data were analysed using content analysis.The results of this study showed that regarding input, ANC services were provided by Midwivesgraduated from D III Midwifery, ANC services were free of charge, and there was lack of laboratoryequipment particularly for tests of Haemoglobin, Protein, and Glucose. Planning was made whenthere was any visit, ANC was conducted in accordance with a service standard. The local areamonitoring of MCH coverage was implemented once a month. Midwives in providing ANC servicesappreciated, respected, paid attention, listened complaints, and keep secrets of pregnant women.As suggestions, Heads of MCH sections at Health Offices in Province of Central Sulawesi need toprovide laboratory equipment for pregnancy test particularly for tests of protein, glucose, andhaemoglobin

PENDAMPINGAN GURU DALAM PEMAHAMAN KONSEP LOCAL WISDOM DAN PENYUSUNAN SOAL BERBASIS HOTS SEBAGAI UPAYA MENGEMBANGKAN BERPIKIR KREATIF SISWA SMP KOTA AMBON

Assessment is an important component in the learning process. The type of assessment provided must be in accordance with the characteristics of the subject and learning outcomes. Teachers' understanding of science concepts and preparation of HOTS questions is needed in the process of assessing student achievement. Learning in the small islands of Maluku requires teacher strategies in understanding the concept of local wisdom and preparing HOTS-based science questions as an effort to develop students' creative thinking skills in understanding local wisdom concepts and preparing HOTS-based science questions to develop students' creative thinking skills. The training and mentoring is carried out with a classical in-service training pattern, and on the job learning. The results of the service show that the ability of teachers to analyze local wisdom materials varies and needs to be assisted because they do not understand developing HOTS questions, and are used as guidelines for the success of the learning process for local wisdom material

Boosting the efficiency of transient photoluminescence microscopy using cylindrical lenses

Transient Photoluminescence Microscopy (TPLM) allows for the direct visualization of carrier transport in semiconductor materials with sub nanosecond and few nanometer resolution. The technique is based on measuring changes in the spatial distribution of a diffraction limited population of carriers using spatiotemporal detection of the radiative decay of the carriers. The spatial resolution of TPLM is therefore primarily determined by the signal-to-noise-ratio (SNR). Here we present a method using cylindrical lenses to boost the signal acquisition in TPLM experiments. The resulting asymmetric magnification of the photoluminescence emission of the diffraction limited spot can increase the collection efficiency by more than a factor of 10, significantly reducing acquisition times and further boosting spatial resolutionWe acknowledge the support from the “(MAD2D-CM)-UAM” project funded by Comunidad de Madrid, by the Recovery, Transformation and Resilience Plan, and by NextGenerationEU from the European Union, as well as from the Spanish Ministry of Science and Innovation under grant agreement TED2021-131018B-C21 and through the Ramón y Cajal program (F.P. RYC-2017-23253

The addition of CO2 to four superbase ionic liquids: a DFT study

The addition of carbon dioxide to four superbase ionic liquids, [P3333][Benzim], [P3333][124Triz], [P3333][123Triz] and [P3333][Bentriz] was studied using a molecular DFT approach involving anions alone and individual ion pairs. Intermolecular bonding within the individual ion pairs is characterised by a number of weak hydrogen bonds, with the superbase anion geometrically arranged so as to maximize interactions between the heterocyclic N atoms and the cation. The pairing energies show no correlation to the observed CO2 adsorption capacity. Addition of CO2 to the anion alone clearly resulted in the formation of a covalently-bound carbamate function with the strength of binding correlated to experimental capacity. In the ion pair however the cation significantly alters the nature of the bonding such that the overall cohesive energy is reduced. Formation of a strong carbamate function occurs at the expense of weakening the interaction between anion and cation. In the more weakly absorbing ion pairs which contain [123Triz](-) and [Bentriz](-), the carbamate-functionalised systems are very close in energy to adducts in which CO2 is more weakly bound, suggesting an equilibrium between the chemi- and physisorbed CO2

Dengue Vector Dynamics (Aedes aegypti) Influenced by Climate and Social Factors in Ecuador: Implications for Targeted Control

Background Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic. Methods/Principal findings We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers. Conclusions These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish

A transfer learning approach to drug resistance classification in mixed HIV dataset

Funding: This research is funded by the Tertiary Education Trust Fund (TETFund), Nigeria.As we advance towards individualized therapy, the ‘one-size-fits-all’ regimen is gradually paving the way for adaptive techniques that address the complexities of failed treatments. Treatment failure is associated with factors such as poor drug adherence, adverse side effect/reaction, co-infection, lack of follow-up, drug-drug interaction and more. This paper implements a transfer learning approach that classifies patients' response to failed treatments due to adverse drug reactions. The research is motivated by the need for early detection of patients' response to treatments and the generation of domain-specific datasets to balance under-represented classification data, typical of low-income countries located in Sub-Saharan Africa. A soft computing model was pre-trained to cluster CD4+ counts and viral loads of treatment change episodes (TCEs) processed from two disparate sources: the Stanford HIV drug resistant database (https://hivdb.stanford.edu), or control dataset, and locally sourced patients' records from selected health centers in Akwa Ibom State, Nigeria, or mixed dataset. Both datasets were experimented on a traditional 2-layer neural network (NN) and a 5-layer deep neural network (DNN), with odd dropout neurons distribution resulting in the following configurations: NN (Parienti et al., 2004) [32], NN (Deniz et al., 2018) [53] and DNN [9 7 5 3 1]. To discern knowledge of failed treatment, DNN1 [9 7 5 3 1] and DNN2 [9 7 5 3 1] were introduced to model both datasets and only TCEs of patients at risk of drug resistance, respectively. Classification results revealed fewer misclassifications, with the DNN architecture yielding best performance measures. However, the transfer learning approach with DNN2 [9 7 3 1] configuration produced superior classification results when compared to other variants/configurations, with classification accuracy of 99.40%, and RMSE values of 0.0056, 0.0510, and 0.0362, for test, train, and overall datasets, respectively. The proposed system therefore indicates good generalization and is vital as decision-making support to clinicians/physicians for predicting patients at risk of adverse drug reactions. Although imbalanced features classification is typical of disease problems and diminishes dependence on classification accuracy, the proposed system still compared favorably with the literature and can be hybridized to improve its precision and recall rates.Publisher PDFPeer reviewe

Evaluating feasibility of functional near-infrared spectroscopy in dolphins

SIGNIFICANCE: Using functional near-infrared spectroscopy (fNIRS) in bottlenose dolphins (Tursiops truncatus) could help to understand how echolocating animals perceive their environment and how they focus on specific auditory objects, such as fish, in noisy marine settings. AIM: To test the feasibility of near-infrared spectroscopy (NIRS) in medium-sized marine mammals, such as dolphins, we modeled the light propagation with computational tools to determine the wavelengths, optode locations, and separation distances that maximize sensitivity to brain tissue. APPROACH: Using frequency-domain NIRS, we measured the absorption and reduced scattering coefficient of dolphin sculp. We assigned muscle, bone, and brain optical properties from the literature and modeled light propagation in a spatially accurate and biologically relevant model of a dolphin head, using finite-element modeling. We assessed tissue sensitivities for a range of wavelengths (600 to 1700 nm), source-detector distances (50 to 120 mm), and animal sizes (juvenile model 25% smaller than adult). RESULTS: We found that the wavelengths most suitable for imaging the brain fell into two ranges: 700 to 900 nm and 1100 to 1150 nm. The optimal location for brain sensing positioned the center point between source and detector 30 to 50 mm caudal of the blowhole and at an angle 45 deg to 90 deg lateral off the midsagittal plane. Brain tissue sensitivity comparable to human measurements appears achievable only for smaller animals, such as juvenile bottlenose dolphins or smaller species of cetaceans, such as porpoises, or with source-detector separations ≫100  mm in adult dolphins. CONCLUSIONS: Brain measurements in juvenile or subadult dolphins, or smaller dolphin species, may be possible using specialized fNIRS devices that support optode separations of >100  mm. We speculate that many measurement repetitions will be required to overcome hemodynamic signals originating predominantly from the muscle layer above the skull. NIRS measurements of muscle tissue are feasible today with source-detector separations of 50 mm, or even less.Publisher PDFPeer reviewe