INTEGRASI SERVQUAL DAN AHP UNTUK EVALUASI KUALITAS LAYANAN DEKRANASDA

Achieving superior service quality is the main concern of all service providers, so that service providers are urged to provide high quality customer-oriented services. The purpose of this study was to analyze the quality of customer service at Dekranasda Rembang, using the Servqual and Analitycal Hierarchy Process (AHP) methods. Servqual is used to see customer perceptions and expectations on the five dimensions of servqual including Physical Evidence (Tangibles), guarantee (Reliability), Responsiveness (Responsiveness), Assurance (Assurance) and Empathy (Emphaty). While AHP is used to weight each dimension and criteria. The results showed that there were 10 service criteria that had to be improved immediately by Dekranasda, so as to improve customer quality

OPTIMALISASI TEKNOLOGI INFORMASI UNTUK PENINGKATAN KUALITAS PEMBELAJARAN

Madrasah Aliyah Mu'allimin Mu'allimat Rembang (M3R) during the Covid-19 M3R pandemic held distance education using online methods. However, the problem of online learning models cannot be done optimally because of the lack of ability of teachers in creating learning content / materials. Teachers also do not have the ability to make video-based material to support the learning process. Through this activity, it is hoped that it can improve the quality of learning and education. So that by providing community service programs through these trainings, teachers are able to improve their abilities as professional teaching staff who understand the importance of ICT in learning activity.

OPTIMASI CONJUGATE GRADIENT PADA BACKPROPAGATION NEURAL NETWORK UNTUK PREDIKSI HASIL TANGKAP IKAN

The need for fish catch by a company or fisherman in Rembang Regency affects market process and also welfare. The catch made by the fishermen is not on target, due to the weather and type of fishing gear. An accurate method is needed in making predictions and a correlation between catch and weather so that fisherman can get maximum predictions results, so that price adjustment can be made. The research was conducted using an experimental method, to determine the accuracy of the effect of the Conjugate Gradient on the Back Propagation Neural Network in obtaining the best value. Based on the results of the Cycle training test with the Conjugate Gradient Backpropagation Neural Network method, the smallest average value is obtained at the 400th Epoch compared to the Epoch Gradient Descent With Momentum method at Epoch 800.Thus it is proven that using the Conjugate Gradient Backpropagation Neural Network method is better with an average value of- MSE average 0.2223 in three stages of testing Training Cycle, Learning Rate and Hidden Layer

Analisis Bentuk Kecemasan Tokoh Utama dalam Novel “Le Dernier Jour D\u27un Condamné À Mort” Karya Victor Hugo

Les mots clés : Le Roman “La Dernier Jour d\u27un Condamné à Mort”, La psychologie littéraire, L\u27anxiété, Le mécanisme de la défense et du conflit. Le roman est un exemple d\u27un oeuvre littéraire qui est une expression d\u27âme d\u27humain dans laquelle existe un sens psychologique. Il possède des expressionspsychologiques qui sont representées par des personnages avec lesquelles on trouvele conflit. La majorité du conflit spirituel est décrit à travers le personnage principal.Elle existe à cause d\u27une lutte qui n\u27est pas en accord avec les désirs des personnages principaux, si bien qu\u27il cause de l\u27anxiété. Ce conflit spirituel est présent avec le personnage principal dans le roman ”Le Dernier Jour d\u27un Condamné à Mort” par Victor Hugo. Il dévoile des problèmes sur “comment est la forme d\u27anxiété du héros principal et sa manière de surpasser son anxiété”. L\u27approche psychologique littéraire est utilisée pour analyser les problèmes. C\u27est la théorie d\u27anxiété de Sigmund Freud qui distingue l\u27anxiété sous trois types ; l\u27anxiété réaliste, morale et neurotique. De plus, on utilise de même le mécanisme de la défense et du conflit pour surmonter les anxiétés. Ce mécanisme de la défense et duconflit est divisé comme le rejet, la répression, l\u27introjection, la sublimation, la rationalitation, la réaction et la fantaisie. Le résultat de cette analyse montre que l\u27anxiété neurotique domine la psychologie du personnage principal. Elle est liée avec la nervosité et la perte du contrôle de son propre corps et sa pensée. Ce personnage pratique de même sept types du mécanisme de la défense et du conflit pour surmonter des anxiétés; le rejet, la répression, l\u27interjection, la sublimation, la rationalitation, la réaction et la fantaisie. Enfin, nous conseillons aux autres chercheurs de prendre les differentes idées comme la sociologie littéraire du fait que l\u27histoire qui se déroule au 19ème siècle dans le roman “Le Dernier Jour d\u27un Condamné à Mort” est interessante à analyser

Active site voltage clamp fluorometry of the sodium glucose cotransporter hSGLT1.

In the human sodium glucose cotransporter (hSGLT1) cycle, the protein undergoes conformational changes where the sugar-binding site alternatively faces the external and internal surfaces. Functional site-directed fluorometry was used to probe the conformational changes at the sugar-binding site. Residues (Y290, T287, H83, and N78) were mutated to cysteines. The mutants were expressed in Xenopus laevis oocytes and tagged with environmentally sensitive fluorescent rhodamines [e.g., tetramethylrhodamine (TMR)-thiols]. The fluorescence intensity was recorded as the mutants were driven into different conformations using voltage jumps. Sugar binding and transport by the fluorophore-tagged mutants were blocked, but Na+ binding and the voltage-dependent conformational transitions were unaffected. Structural models indicated that external Na+ binding opened a large aqueous vestibule (600 Å3) leading to the sugar-binding site. The fluorescence of TMR covalently linked to Y290C, T287C, and H83C decreased as the mutant proteins were driven from the inward to the outward open Na+-bound conformation. The time courses of fluorescence changes (milliseconds) were close to the SGLT1 capacitive charge movements. The quench in rhodamine fluorescence indicated that the environment of the chromophores became more polar with opening of the external gates as the protein transitioned from the inward to outward facing state. Structural analyses showed an increase in polar side chains and a decrease in hydrophobic side chains lining the vestibule, and this was reflected in solvation of the chromophore. The results demonstrate the opening and closing of external gates in real time, with the accompanying changes of polarity of the sugar vestibule

Evaluating the accuracy of diffusion MRI models in white matter

Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorithms. A useful model must fit the data accurately. However, evaluations of model-accuracy of some of the models that are commonly used in analyzing human white matter have not been published before. Here, we evaluate model-accuracy of the two main classes of diffusion MRI models. The diffusion tensor model (DTM) summarizes diffusion as a 3-dimensional Gaussian distribution. Sparse fascicle models (SFM) summarize the signal as a linear sum of signals originating from a collection of fascicles oriented in different directions. We use cross-validation to assess model-accuracy at different gradient amplitudes (b-values) throughout the white matter. Specifically, we fit each model to all the white matter voxels in one data set and then use the model to predict a second, independent data set. This is the first evaluation of model-accuracy of these models. In most of the white matter the DTM predicts the data more accurately than test-retest reliability; SFM model-accuracy is higher than test-retest reliability and also higher than the DTM, particularly for measurements with (a) a b-value above 1000 in locations containing fiber crossings, and (b) in the regions of the brain surrounding the optic radiations. The SFM also has better parameter-validity: it more accurately estimates the fiber orientation distribution function (fODF) in each voxel, which is useful for fiber tracking

Social Changes and Factors Influencing Fishers’ Welfare in Kendari City

Indonesia, as a maritime country with rich marine resources can be used wisely for the welfare of the people; hence, there are various written and binding regulations in this regard. However, the wealth of marine resources in Kendari City does not guarantee the welfare of fishers. Fishers’ welfare is related to several factors and linked to social changes. Social change has an impact on various aspects of life. However, the impact of social change is not merely harmful, but it can also be beneficial to society. This study aims to analyze social changes and factors influencing fishers’ welfare in Kendari City. The writing method used is a quantitative approach through survey and qualitative approaches with in-depth interviews and literature studies. The results showed that there were horizontal and vertical social changes on fishers in Kendari City. The level of fishers’ welfare in Kendari City is categorized as moderate, and the factors related to the level of fishers’ welfare in Kendari City are fishing experience, the number of workers on board, the level of financial capital, the size of the ship, and the cost of fishing gear

Fast Nonlinear Vector Quantile Regression

Quantile regression (QR) is a powerful tool for estimating one or more conditional quantiles of a target variable $\mathrm{Y}$ given explanatory features $\boldsymbol{\mathrm{X}}$. A limitation of QR is that it is only defined for scalar target variables, due to the formulation of its objective function, and since the notion of quantiles has no standard definition for multivariate distributions. Recently, vector quantile regression (VQR) was proposed as an extension of QR for vector-valued target variables, thanks to a meaningful generalization of the notion of quantiles to multivariate distributions via optimal transport. Despite its elegance, VQR is arguably not applicable in practice due to several limitations: (i) it assumes a linear model for the quantiles of the target $\boldsymbol{\mathrm{Y}}$ given the features $\boldsymbol{\mathrm{X}}$; (ii) its exact formulation is intractable even for modestly-sized problems in terms of target dimensions, number of regressed quantile levels, or number of features, and its relaxed dual formulation may violate the monotonicity of the estimated quantiles; (iii) no fast or scalable solvers for VQR currently exist. In this work we fully address these limitations, namely: (i) We extend VQR to the non-linear case, showing substantial improvement over linear VQR; (ii) We propose {vector monotone rearrangement}, a method which ensures the quantile functions estimated by VQR are monotone functions; (iii) We provide fast, GPU-accelerated solvers for linear and nonlinear VQR which maintain a fixed memory footprint, and demonstrate that they scale to millions of samples and thousands of quantile levels; (iv) We release an optimized python package of our solvers as to widespread the use of VQR in real-world applications.Comment: 35 pages, 15 figures, code: https://github.com/vistalab-technion/vq

Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer

Comprehensive analyses of cancer genomes promise to inform prognoses and precise cancer treatments. A major barrier, however, is inaccessibility of metastatic tissue. A potential solution is to characterize circulating tumor cells (CTCs), but this requires overcoming the challenges of isolating rare cells and sequencing low-input material. Here we report an integrated process to isolate, qualify and sequence whole exomes of CTCs with high fidelity using a census-based sequencing strategy. Power calculations suggest that mapping of >99.995% of the standard exome is possible in CTCs. We validated our process in two patients with prostate cancer, including one for whom we sequenced CTCs, a lymph node metastasis and nine cores of the primary tumor. Fifty-one of 73 CTC mutations (70%) were present in matched tissue. Moreover, we identified 10 early trunk and 56 metastatic trunk mutations in the non-CTC tumor samples and found 90% and 73% of these mutations, respectively, in CTC exomes. This study establishes a foundation for CTC genomics in the clinic.National Science Foundation (U.S.). Graduate Research FellowshipNational Cancer Institute (U.S.) (Koch Institute Support (Core) Grant P30-CA14051)Janssen Pharmaceutical Ltd.Klarman Family Foundatio