306 research outputs found

    HUBUNGAN SIKAP TEMAN SEBAYA TENTANG LGBT DENGAN STIGMA LGBT PADA MAHASISWA SEMESTER 4 PRODI DIV KEBIDANAN DI UNIVERSITAS ‘AISYIYAH YOGYAKARTA

    Get PDF
    INTISARI Latar Belakang : LGBT salah satu kelompok masyarakat yang terus mendapatkan diskriminasi, baik oleh masyarakat yang tinggal di kota maupun di daerah terpencil. Ada beberapa dampak dari stigma yaitu stigma menyebabkan diskriminasi, sulit mencari bantuan, menarik diri dari masyarakat, hilangnya rasa percaya diri, stress, depresi, cemas, bunuh diri, masyarakat bisa lebih kasar dan kurang manusiawi, keluarga menjadi lebih terhina dan terganggu. Tujuan Penelitian : Untuk mengetahui sikap teman sebaya tentang LGBT dengan stigma LGBT pada mahasiswa semester 4 prodi DIV Kebidanan di Universitas „Aisyiyah Yogyakarta tahun 2016. Metode Penelitian : Metode penelitian survei analitik dengan desain penelitian cross sectional. Penelitian ini dilakukan pada tanggal 25 Juni 2016 dengan tehnik total sampling diperoleh 120 mahasiswa semester 4 prodi DIV Kebidanan sebagai responden. Pengambilan data menggunakan kuesioner, dan analisis data menggunakan korelasi Kendall tau. Hasil Penelitian : Hasil uji statistik didapatkan nilai mayoritas sikap dengan kategori cukup sebanyak 60 responden, mayorias stigma dengan kategori sedang sebanyak 88 responden dan koefisien korelasi sebesar 0,62 dengan taraf signifikan 0,000 (?<0,05). Simpulan Dan Saran : Ada hubungan sikap teman sebaya tentang LGBT dengan stigma LGBT pada mahasiswa semester 4 prodi DIV Kebidanan di Universitas „Aisyiyah Yogyakarta tahun 2016. Diharapkan mahasiswa dapat meningkatkan informasi dan pengetahuan tentang LGBT sehingga bisa memiliki sikap dan stigma yang baik terhadap kelompok LGBT

    Modeling and simulation of a wirelessly-powered thermopneumatic micropump for drug delivery applications

    Get PDF
    This paper presents modeling and finite element analysis of a thermopneumatic micropump with a novel design that does not affect the temperature of the working fluid. The micropump is operated by activating a passive wireless heater using wireless power transfer when the magnetic field is tuned to match the resonant frequency of the heater. The heater is responsible for heating an air-heating chamber that is connected to a loading reservoir through a microdiffuser element. The solution inside the reservoir is pumped through a microchannel that ends with an outlet hole. The thermal and pumping performances of the micropump are analyzed using finite element method over a low range of Reynold’s number ⩽ 10 that is suitable for various biomedical applications. The results demonstrate promising performance with a maximum flow rate of ∼2.86 μL/min at a chamber temperature of 42.5 ºC, and a maximum pumping pressure of 406.5 Pa. The results show that the developed device can be potentially implemented in various biomedical areas, such as implantable drug delivery applications

    Towards Generalizing to Unseen Domains with Few Labels

    Full text link
    We approach the challenge of addressing semi-supervised domain generalization (SSDG). Specifically, our aim is to obtain a model that learns domain-generalizable features by leveraging a limited subset of labelled data alongside a substantially larger pool of unlabeled data. Existing domain generalization (DG) methods which are unable to exploit unlabeled data perform poorly compared to semi-supervised learning (SSL) methods under SSDG setting. Nevertheless, SSL methods have considerable room for performance improvement when compared to fully-supervised DG training. To tackle this underexplored, yet highly practical problem of SSDG, we make the following core contributions. First, we propose a feature-based conformity technique that matches the posterior distributions from the feature space with the pseudo-label from the model's output space. Second, we develop a semantics alignment loss to learn semantically-compatible representations by regularizing the semantic structure in the feature space. Our method is plug-and-play and can be readily integrated with different SSL-based SSDG baselines without introducing any additional parameters. Extensive experimental results across five challenging DG benchmarks with four strong SSL baselines suggest that our method provides consistent and notable gains in two different SSDG settings.Comment: Accepted at CVPR 202

    Density and ultrasonic velocity measurements in hexyloxybenzylidene phenylazoaniline

    Get PDF
    The temperature variation of density and ultrasonic velocity of the liquid crystal hexyloxybenzylidene phenylazoaniline are reported. The density across the smectic A-smectic B transition is more predominant than the other transitions. The density variation with temperature and the calculated thermal expansion coefficients suggest that the transitions isotropic liquid-nematic, nematic-smectic A and smectic A-smectic B are of first order. Anomalous behaviour of ultrasonic velocity is observed across the isotropic liquid-nematic transition and prominent dips in velocity are observed at the nematic-smectic A and smectic A-smectic B transitions. The adiabatic compressibility (&#946;ad) Rao number (Ra) and molar compressibility (B) are estimated using the experimental density and ultrasonic velocity

    Metamodel-based Optimization of a PID Controller Parameters for a Coupled-tank System

    Get PDF
    Liquid flow and level control are essential requirements in various industries, such as paper manufacturing, petrochemical industries, waste management, and others. Controlling the liquids flow and levels in such industries is challenging due to the existence of nonlinearity and modeling uncertainties of the plants. This paper presents a method to control the liquid level in a second tank of a coupled-tank plant through variable manipulation of a water pump in the first tank. The optimum controller parameters of this plant are calculated using radial basis function neural network metamodel. A time-varying nonlinear dynamic model is developed and the corresponding linearized perturbation models are derived from the nonlinear model. The performance of the developed optimized controller using metamodeling is compared with the original large space design. In addition, linearized perturbation models are derived from the nonlinear dynamic model with time-varying parameters

    Marketing Strategies for Fabrication Operational Processes: The Case of Press Shop Sdn Bhd

    Get PDF
    Press Shop Sdn. Bhd. was established in 1995 in order to fulfill their contract obligation to their major customer, Rhombus Caster Sdn. Bhd. Throughout the year until now, their market dominated by fulfilling their contract job to Rhombus Caster with about 80% from total revenue. From literature we found that too much depending on major customer might jeopardized business sustainability as it could vanishing company revenue if something happen to major customer or major customer has change their business direction. From perspective of SMEs’ overview, local SMEs’ not really bother about business and marketing strategy

    Unsupervised Landmark Discovery Using Consistency Guided Bottleneck

    Full text link
    We study a challenging problem of unsupervised discovery of object landmarks. Many recent methods rely on bottlenecks to generate 2D Gaussian heatmaps however, these are limited in generating informed heatmaps while training, presumably due to the lack of effective structural cues. Also, it is assumed that all predicted landmarks are semantically relevant despite having no ground truth supervision. In the current work, we introduce a consistency-guided bottleneck in an image reconstruction-based pipeline that leverages landmark consistency, a measure of compatibility score with the pseudo-ground truth to generate adaptive heatmaps. We propose obtaining pseudo-supervision via forming landmark correspondence across images. The consistency then modulates the uncertainty of the discovered landmarks in the generation of adaptive heatmaps which rank consistent landmarks above their noisy counterparts, providing effective structural information for improved robustness. Evaluations on five diverse datasets including MAFL, AFLW, LS3D, Cats, and Shoes demonstrate excellent performance of the proposed approach compared to the existing state-of-the-art methods. Our code is publicly available at https://github.com/MamonaAwan/CGB_ULD.Comment: Accepted ORAL at BMVC 2023 ; Code: https://github.com/MamonaAwan/CGB_UL

    Putting forward sustainability as a model for journalism education and training

    Get PDF
    African journalism practice presents unique opportunities and challenges that require journalists to be equipped with the necessary skills, knowledge, and values to engage in sustainable journalism. Training institutions play a critical role in ensuring that journalists are not only professionally-ready to execute their mandate but also that they can safeguard and promote ethical values in their everyday work. Some of these values include “truth telling, independence, objectivity, fairness, inclusivity and social justice” (Gade, Nduka, and Dastger 2017, 10). Africa, like other regions of the Global South, has several journalism training institutions that provide an opportunity to challenge “hegemonic epistemologies and ontologies of Western-centric journalism studies” (Mutsvairo et al. 2021, 993). In the context of this submission, the present study investigates the current state of sustainable journalism in Africa. We examined data based on a syllabi analysis of journalism programs in Kenya, South Africa and Ghana to appraise what role sustainable journalism education and training could play in Africa. Findings show that efforts are already in place across select learning and training institutions but also point to profound gaps in the curriculum, pedagogy and resources needed to prepare journalists for sustainable journalism

    2,6-Dichloro-1-[(1E)-2-(phenyl­sulfon­yl)ethen­yl]benzene

    Get PDF
    In the title compound, C14H10Cl2O2S, the product of a base-catalyzed condensation followed by deca­rboxylation of the carboxyl­ate group of the sulfonyl derivative, the configuration of the alkene unit is E. The torsion angle between the alkene unit and the 2,6-dichloro­phenyl ring system is −40.8 (3)°. The dihedral angle between the rings is 80.39 (7)°

    2-Methyl-3,5,6-triphenyl-2,3-dihydro­pyrazine

    Get PDF
    In the title mol­ecule, C23H20N2, the heterocyclic ring adopts a screw-boat conformation, with all substituents equatorial. The phenyl ring at position 3 makes dihedral angles of 78.12 (15) and 72.67 (15)°, respectively, with the phenyl rings at positions 5 and 6; the dihedral angle between the phenyl rings at positions 5 and 6 is 67.32 (14)°. A C—H⋯π inter­action is present in the crystal structure
    corecore