bluuebunny/crossref_metadata_2025 huggingface dataset:
Learning Explanatory Rules from Noisy Data (Extended Abstract)
Authors: Evans Richard , Grefenstette Edward
Published: July 2018

Artificial Neural Networks are powerful function

approximators capable of modelling solutions to

a wide variety of problems, both supervised and

unsupervised. As their size and expressivity increases,

so too does the variance of the model,

yielding a nearly ubiquitous overfitting problem.

Although mitigated by a variety of model regularisation

methods, the common cure is to seek

large amounts of training data—which is not necessarily

easily obtained—that sufficiently approximates

the data distribution of the domain we wish

to test on. In contrast, logic programming methods

such as Inductive Logic Programming offer an extremely

data-efficient process by which models can

be trained to reason on symbolic domains. However,

these methods are unable to deal with the variety

of domains neural networks can be applied to:

they are not robust to noise in or mislabelling of inputs,

and perhaps more importantly, cannot be applied

to non-symbolic domains where the data is

ambiguous, such as operating on raw pixels. In this

paper, we propose a Differentiable Inductive Logic

framework (∂ILP), which can not only solve tasks

which traditional ILP systems are suited for, but

shows a robustness to noise and error in the training

data which ILP cannot cope with. Furthermore,

as it is trained by backpropagation against a likelihood

objective, it can be hybridised by connecting

it with neural networks over ambiguous data in

order to be applied to domains which ILP cannot

address, while providing data efficiency and generalisation

beyond what neural networks on their own

can achieve.
Mental Health Computing via Harvesting Social Media Data
Authors: Jia Jia
Published: July 2018

Mental health has become a general concern of people nowadays. It is of vital importance to detect and manage mental health issues before they turn into severe problems. Traditional psychological interventions are reliable, but expensive and hysteretic. With the rapid development of social media, people are increasingly sharing their daily lives and interacting with friends online.

Via harvesting social media data, we comprehensively study the detection of mental wellness, with two typical mental problems, stress and depression, as specific examples. Initializing with binary user-level detection, we expand our research towards multiple contexts, by considering the trigger and level of mental health problems, and involving different social media platforms of different cultures. We construct several benchmark real-world datasets for analysis and propose a series of multi-modal detection models, whose effectiveness are verified by extensive experiments. We also make in-depth analysis to reveal the underlying online behaviors regarding these mental health issues.
Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints
Authors: Zhang Yuzhe , Yahiro Kentaro , Barrot Nathanaël , Yokoo Makoto
Published: July 2018

In this paper, we identify a new class of distributional constraints defined as a union of symmetric M-convex sets, which can represent a variety of real-life constraints in two-sided matching settings. Since M-convexity is not closed under union, a union of symmetric M-convex sets does not belong to this well-behaved class of constraints in general. Thus, developing a fair and strategyproof mechanism that can handle this class is challenging. We present a novel mechanism called Quota Reduction Deferred Acceptance (QRDA), which repeatedly applies the standard DA mechanism by sequentially reducing artificially introduced maximum quotas. We show that QRDA is fair and strategyproof when handling a union of symmetric M-convex sets. Furthermore, in comparison to a baseline mechanism called Artificial Cap Deferred Acceptance (ACDA), QRDA always obtains a weakly better matching for students and, experimentally, performs better in terms of nonwastefulness.
Towards Sample Efficient Reinforcement Learning
Authors: Yu Yang
Published: July 2018

Reinforcement learning is a major tool to realize intelligent agents that can be autonomously adaptive to the environment. With deep models, reinforcement learning has shown great potential in complex tasks such as playing games from pixels. However, current reinforcement learning techniques are still suffer from requiring a huge amount of interaction data, which could result in unbearable cost in real-world applications. In this article, we share our understanding of the problem, and discuss possible ways to alleviate the sample cost of reinforcement learning, from the aspects of exploration, optimization, environment modeling, experience transfer, and abstraction. We also discuss some challenges in real-world applications, with the hope of inspiring future researches.
Intelligent Decision Support for Human Team Planning
Authors: Kim Joseph
Published: July 2018

In my thesis, I develop computational models for an agent providing intelligent decision support (IDS) during human team planning sessions. My focus is on the development of an agent that help a team of human planners reach an agreement and produce high-quality plans prior to plan execution. I intend to develop novel techniques for an IDS agent that can 1) infer the team's intended plan from their planning conversation, 2) predict parts of the plan where the team's shared understanding is weak, and 3) suggest a resolution strategy when plan conflicts occur among teammates.
Identifying Differences in Social Responsiveness among Preschoolers Interacting with or Watching Social Robots
Authors: Manner Marie D.
Published: July 2018

We describe experiments performed with a large number of preschool children (ages 1.5 to 4 years) in a two-task eye tracking experiment and a human-robot interaction experiment. The resulting data of mostly neuro-typical children forms a baseline with which to compare children with autism, allowing us to further characterize the autism phenotype. Eye tracking task results indicate a strong preference for a humanoid robot and a social being (a four year old girl) over other robot types. Results from the human-robot interaction task, a semi-structured play interaction between child and robot, showed we can cluster participants based on social distances and other social responsiveness metrics.
Machine Learning Approaches to Reduce Electrical Waste and Improve Power Grid Stability
Authors: Valovage Mark
Published: July 2018

My research contributions are summarized as follows: In electricity disaggregation, I introduced the first label correction approach for supervised training samples. For unsupervised disaggregation, I introduced event detection that does not require parameter tuning and appliance discovery that makes no assumptions on appliance types. These improvements produce better accuracy, faster computation, and more scalability than any previously introduced method and can be applied to natural gas disaggregation, water disaggregation, and other source separation domains. My current work challenges long-held assumptions in time series shapelets, a classification tool with applicability in electrical time series and dozens of additional domains.
Generating Plans for Cooperative Connected UAVs
Authors: Bodin François , Charrier Tristan , Queffelec Arthur , Schwarzentruber François
Published: July 2018

We present a tool for graph coverage with a fleet of UAVs. The UAVs must achieve the coverage of an area under the constraint of staying connected with the base, where the mission supervisor starts the plan. With an OpenStreetMap interface, the user is able to choose a specific location on which the mission needs to be generated and observes the resulting plan being executed.
Pyconstruct: Constraint Programming Meets Structured Prediction
Authors: Dragone Paolo , Teso Stefano , Passerini Andrea
Published: July 2018

Constructive learning is the task of learning to synthesize structured objects from data. Examples range from classical sequence labeling to layout synthesis and drug design. Learning in these scenarios involves repeatedly synthesizing candidates subject to feasibility constraints and adapting the model based on the observed loss. Many synthesis problems of interest are non-standard: they involve discrete and continuous variables as well as arbitrary constraints among them. In these cases, widespread formalisms (like linear programming) can not be applied, and the developer is left with writing her own ad-hoc solver. This can be very time consuming and error prone. We introduce Pyconstruct, a Python library tailored for solving real-world constructive problems with minimal effort. The library leverages max-margin approaches to decouple learning from synthesis and constraint programming as a generic framework for synthesis. Pyconstruct enables easy prototyping of working solutions, allowing developers to write complex synthesis problems in a declarative fashion in few lines of code. The library is available at: http://bit.ly/2st8nt3
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation
Authors: Smyth David L. , Fennell James , Abinesh Sai , B. Karimi Nazli , Glavin Frank G. , Ullah Ihsan , Drury Brett , Madden Michael G.
Published: July 2018

Accidents and attacks that involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances are rare, but can be of high consequence. Since the investigation of such events is not anybody's routine work, a range of AI techniques can reduce investigators' cognitive load and support decision-making, including: planning the assessment of the scene; ongoing evaluation and updating of risks; control of autonomous vehicles for collecting images and sensor data; reviewing images/videos for items of interest; identification of anomalies; and retrieval of relevant documentation. Because of the rare and high-risk nature of these events, realistic simulations can support the development and evaluation of AI-based tools. We have developed realistic models of CBRNE scenarios and implemented an initial set of tools.
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant
Authors: Sokol Kacper , Flach Peter
Published: July 2018

The prevalence of automated decision making, influencing important aspects of our lives -- e.g., school admission, job market, insurance and banking -- has resulted in increasing pressure from society and regulators to make this process more transparent and ensure its explainability, accountability and fairness. We demonstrate a prototype voice-enabled device, called Glass-Box, which users can question to understand automated decisions and identify the underlying model's biases and errors. Our system explains algorithmic predictions with class-contrastive counterfactual statements (e.g., ``Had a number of conditions been different:...the prediction would change...''), which show a difference in a particular scenario that causes an algorithm to ``change its mind''. Such explanations do not require any prior technical knowledge to understand, hence are suitable for a lay audience, who interact with the system in a natural way -- through an interactive dialogue. We demonstrate the capabilities of the device by allowing users to impersonate a loan applicant who can question the system to understand the automated decision that he received.
Readitopics: Make Your Topic Models Readable via Labeling and Browsing
Authors: Velcin Julien , Gourru Antoine , Giry-Fouquet Erwan , Gravier Christophe , Roche Mathieu , Poncelet Pascal
Published: July 2018

Readitopics provides a new tool for browsing a textual corpus that showcases several recent work on topic labeling and topic coherence. We demonstrate the potential of these techniques to get a deeper understanding of the topics that structure different datasets. This tool is provided as a Web demo but it can be installed to experiment with your own dataset. It can be further extended to deal with more advanced topic modeling techniques.
Scanpath Prediction for Visual Attention using IOR-ROI LSTM
Authors: Chen Zhenzhong , Sun Wanjie
Published: July 2018

Predicting scanpath when a certain stimulus is presented plays an important role in modeling visual attention and search. This paper presents a model that integrates convolutional neural network and long short-term memory (LSTM) to generate realistic scanpaths. The core part of the proposed model is a dual LSTM unit, i.e., an inhibition of return LSTM (IOR-LSTM) and a region of interest LSTM (ROI-LSTM), capturing IOR dynamics and gaze shift behavior simultaneously. IOR-LSTM simulates the visual working memory to adaptively integrate and forget scene information. ROI-LSTM is responsible for predicting the next ROI given the inhibited image features. Experimental results indicate that the proposed architecture can achieve superior performance in predicting scanpaths.
Cross-Modality Person Re-Identification with Generative Adversarial Training
Authors: Dai Pingyang , Ji Rongrong , Wang Haibin , Wu Qiong , Huang Yuyu
Published: July 2018

Person re-identification (Re-ID) is an important task in video surveillance which automatically searches and identifies people across different cameras. Despite the extensive Re-ID progress in RGB cameras, few works have studied the Re-ID between infrared and RGB images, which is essentially a cross-modality problem and widely encountered in real-world scenarios. The key challenge lies in two folds, i.e., the lack of discriminative information to re-identify the same person between RGB and infrared modalities, and the difficulty to learn a robust metric towards such a large-scale cross-modality retrieval. In this paper, we tackle the above two challenges by proposing a novel cross-modality generative adversarial network (termed cmGAN). To handle the issue of insufficient discriminative information, we leverage the cutting-edge generative adversarial training to design our own discriminator to learn discriminative feature representation from different modalities. To handle the issue of large-scale cross-modality metric learning, we integrates both identification loss and cross-modality triplet loss, which minimize inter-class ambiguity while maximizing cross-modality similarity among instances. The entire cmGAN can be trained in an end-to-end manner by using standard deep neural network framework. We have quantized the performance of our work in the newly-released SYSU RGB-IR Re-ID benchmark, and have reported superior performance, i.e., Cumulative Match Characteristic curve (CMC) and Mean Average Precision (MAP), over the state-of-the-art works [Wu et al., 2017], respectively.
R³Net: Recurrent Residual Refinement Network for Saliency Detection
Authors: Deng Zijun , Hu Xiaowei , Zhu Lei , Xu Xuemiao , Qin Jing , Han Guoqiang , Heng Pheng-Ann
Published: July 2018

Saliency detection is a fundamental yet challenging task in computer vision, aiming at highlighting the most visually distinctive objects in an image. We propose a novel recurrent residual refinement network (R^3Net) equipped with residual refinement blocks (RRBs) to more accurately detect salient regions of an input image. Our RRBs learn the residual between the intermediate saliency prediction and the ground truth by alternatively leveraging the low-level integrated features and the high-level integrated features of a fully convolutional network (FCN). While the low-level integrated features are capable of capturing more saliency details, the high-level integrated features can reduce non-salient regions in the intermediate prediction. Furthermore, the RRBs can obtain complementary saliency information of the intermediate prediction, and add the residual into the intermediate prediction to refine the saliency maps. We evaluate the proposed R^3Net on five widely-used saliency detection benchmarks by comparing it with 16 state-of-the-art saliency detectors. Experimental results show that our network outperforms our competitors in all the benchmark datasets.
Tempe sebagai Pengganti Hormon Estrogen pada Reseptor Estrogen α Dengan Metode Autodock Vina
Authors: Mulyati Budi
Published: July 2018

Reseptor Estrogen (RE)  α akan berinteraksi dengan estrogen dalam tubuh manusia. Bila kadar Estrogen berkurang akan menyebabkan menopause. Isoflavon merupakan fitoestrogen yang dapat terikat pada kedua jenis estrogen reseptor.Tempe merupakan makanan yang mengandung isoflavon yaitu faktor II (6,7,4-trihidroksi isoflavon). Isoflavon bermanfaat antara lain untuk mencegah penyakit tulang, menurunkan kolesterol jahat, dan mencegah kanker. RE α merupakan target penting dalam dunia pengobatan untuk mencari hormon pengganti pada wanita menopause dan obat kemoterapi melawan kanker. Tujuan dari penelitian ini adalah menentukan urutan ligan yang berinteraksi lebih kuat terhadap RE α serta menentukan gugus fungsi yang berperan aktif dan jenis interaksi yang terjadi antara ligan dan reseptor. Penelitian diawali dengan optimasi struktur RE α (PDB kode 2OUZ), kemudian disimulasikan docking dengan ligan menggunakan autodock Vina, dan ditentukan energi afinitasnya. Ligan yang digunakan pada penelitian ini adalah faktor II, daidzein, genistein, glisitein dan biochanin A dengan estrogen sebagai pembanding. Hasil  penelitian ini menunjukkan energi afinitas RE α berturut-turut adalah -6,3 kkal/mol; -6,2 kkal/mol;  -6,1 kkal/mol; -5,9 kkal/mol; dan -5,7 kkal/mol.
Pengukuran Indeks Keamanan Proses Produksi MMA (Methyl Methacrylate) dengan ISV (Index Safety Value)
Authors: Sudarni Dyan Hatining Ayu , Juwari Juwari
Published: July 2018

Industri kimia memiliki berbagai tahapan proses. Setiap proses memiliki tingkat kegagalan risiko dan kegagalan dilihat dari bahan kimia, kondisi proses dan peralatan. Metode penilaian kegagalan untuk penelitian sebelumnya mengintegrasikan tiga aspek yang dibagi menjadi dua utama parameter. Penelitian ini berkaitan dengan penilaian keamanan dengan tiga integrasi yang disebut nilai keamanan indeks (ISV). Cara penilaian dengan ISV dimulai dengan menentukan parameter, penilaian tiap parameter dan selanjutnya diintegrasikan. Integrasi untuk menentukan tingkat risiko dalam proses standardisasi. Standarisasi dilakukan untuk menentukan karakteristik tiap langkah proses. Penilaian standarisasi ini memiliki rentang nilai indeks yang telah ditetapkan dan karakteristik tingkat risiko. Penelitian ini mengambil produksi methyl methacrylate (MMA) dengan acetone cyanohydrin (ACH) sebagai kasus yang akan dipelajari. Parameter utamanya bahan kimia dan kondisi operasi. Produksi MMA memiliki empat langkah proses produksi. Dimulai dengan produksi HCN, ACH, HMPA / HMPSE dan yang terakhir MMA. Dari empat langkah tersebut HCN memiliki tingkat risiko yang tinggi, dengan nilai indeks 0,299 dan karakteristik’Moderate’. Sedangkan risiko yang rendah adalah MMA dengan nilai indeks 0,201 dan karakteristik ‘Light’
Bio-Inspired Primary Amine α-C–H Functionalization
Authors: Vasu Dhananjayan , L. Fuentes de Arriba Ángel , Leitch Jamie A. , de Gombert Antoine , Dixon Darren J.
Published: July 2018

The selective manipulation of complex amine architectures has received great attention in recent years with widespread applications including inter alia drug discovery. Inspired by an enzymatic copper amine oxidase process, a synthetic quinone co-factor mediated general platform for the construction of α-fully substituted primary amines from abundant α-branched primary amine starting materials is described. This procedure pivots on the efficient generation of reactive ketimine intermediates in situ which are primed to react with carbon-centered nucleophiles such as organomagnesium and organolithium reagents, and TMSCN. Extension to reverse polarity photoredox catalysis enables reactivity with electrophiles. Subsequent oxidative hydrolysis releases the unprotected α-fully substituted primary amine product. This efficient, broadly applicable and scaleable amine-to-amine synthetic platform was successfully applied to library and API synthesis and in the late stage functionalization of drug molecules.
筒仓 - 贮料 - 地基相互作用系统地震反应分析
Authors: 李 树蔚 , 赵 文 , 国 志雨
Published: July 2018

为分析地震荷载作用下筒仓 - 贮料 - 地基相互作用系统的响应规律， 建立了筒仓 - 贮料 - 地基相互作用系统动力模型基本方程， 并通过数值分析开展不同贮料条件下的筒仓 - 贮料 - 地基相互作用系统动力特性研究。 研究表明：（1） 筒仓顶部位移远远大于底部， 同一母线上筒仓上部和下部震动变化趋势相近。 输入的地震波动越大， 则结构加速度响应、 位移变形和应力响应也越大；（2） 筒仓几个典型部位的时程响应运动方向一致； 随贮料的增加， 筒仓及散料的加速度峰值先增大后减小， 表明贮料与筒仓的相对运动对筒仓系统具有减震作用；（3） 不同贮料量筒仓的最大环向应变及最大等效应力均出现在筒仓变截面处， 即漏斗顶部； 筒仓基础近区地基有效应力明显高于远区。 研究结果可为控制和减少地震荷载作用下筒仓结构灾害提供可靠的理论依据和参考价值。
华亭煤矿250103-1综采放顶煤工作面回撤防火技术研究
Authors: 毛 勇奋
Published: July 2018

自燃煤层在工作面回撤期间易发生自然发火事故， 不仅给矿工生命安全带来重大威胁， 还给企业造成巨大经济损失。本文根据华亭煤矿250103-1综采放顶煤工作面回撤期间自然发火规律， 潜意识形成四道防火基线， 制定多项防灭火措施， 对工作面采空区包裹式防护， 为自然发火防治、 保证安全生产具有一定的参考意义。
Physical activity and dietary habits of Filipino college students
Authors: Acampado Elizabeth , Valenzuela Madonna
Published: July 2018

No published study has been tracked to date on the physical activity (PA) and dietary habits (DH) of Filipino college students. Thus, this cross-sectional study aimed to determine (1) the prevalence of regular PA among college students in a Philippine setting and (2) the reasons for either adherence to PA or for being inactive, (3) to describe DH of the students, (4) to compare PA involvement and DH across year levels, and (5) to correlate PA and diet behaviors. Data were collected using a self-administered survey questionnaire. Results showed that only 32.8% of the 1,706 students in this study engaged in regular PA. There were greater proportions of inactivity at higher-year levels (62.5%, 66.5%, 76.5%, and 84.8% in the first, second, third and fourth year, respectively). The major reason for inactivity was lack of time, while the students’ PA adherence was largely due to predisposing factors such as knowledge about PA, beliefs in benefits and enjoyment of PA, and confidence in performing physical activity. About one of every three students in each year level had below-average to poor dietary habits, meaning they seldom eat proper types of food. Findings of this study indicate the need for an intervention that will effectively increase regular PA and ensure proper food intake in the student population.
Comparison of the talk test and percent heart rate reserve for exercise prescription
Authors: Porcari John P. , Falck-Wiese Katelyn
Published: July 2018

Exercise intensity is traditionally prescribed using %HRmax, %HRR, %VO2max, or %VO2R. Recently, the Talk Test (TT) has been proposed as an alternative method to guide exercise intensity. However, it is unknown if prescribing exercise intensity solely using the TT can provoke training responses that are comparable to traditional guidelines. This study compared the responses to training using either the TT or %HRR. Forty-four subjects (17 males and 27 females: age=20.4±3.02 years; body height=170.5±9.79 cm; body weight=71.9±13.63 kg) completed an incremental maximal cycle ergometer test, were stratified by VO2max and gender, and randomly assigned to training groups guided by either %HRR (n=20) or the TT (n=24). Both groups completed 40-minute training sessions three days per week for 10 weeks. In the HRR group, exercise intensity was targeted (per ACSM guidelines) at 40-59% HRR for weeks 1-4, 50-59% HRR for weeks 5-8, and 60-79% HRR for weeks 9-10. In the TT group, exercise intensity was targeted at the highest power output (PO) that still allowed for comfortable speech. Changes in VO2max, peak power output (PPO), VO2 at ventilatory threshold (VT), and PO at VT were compared between the groups using two-way ANOVA with repeated measures. There were significant (p<.05) pre vs. post increases in VO2max (TT=10.6%; HRR=11.5%), PPO (TT=19%; HR=14%), VO2 at VT (T=32.7%; HRR=56.9%), and PO at VT (TT=43.1%; HRR=38.6%) in both groups, with no significant (p>0.05) interaction effect. Guiding exercise prescription using the TT is a simple and effective method for prescribing exercise intensity and elicits improvements in exercise performance that are comparable to the traditional %HRR guidelines.
Bi-Modal Naive Set Theory
Authors: Wigglesworth John
Published: July 2018

This paper describes a modal conception of sets, according to which sets are 'potential' with respect to their members. A modal theory is developed, which invokes a naive comprehension axiom schema, modified by adding 'forward looking' and 'backward looking' modal operators. We show that this 'bi-modal' naive set theory can prove modalized interpretations of several ZFC axioms, including the axiom of infinity. We also show that the theory is consistent by providing an S5 Kripke model. The paper concludes with some discussion of the nature of the modalities involved, drawing comparisons with noneism, the view that there are some non-existent objects.
Starting the Dismantling of Classical Mathematics
Authors: Brady Ross
Published: July 2018

This paper uses the relevant logic, MCQ, of meaning containment to explore mathematics without various classical theses, in particular, without the law of excluded middle.
Bayesian confirmation, connexivism and an unkindness of ravens
Authors: Ramirez Elisangela
Published: July 2018

Bayesian confirmation theories (BCTs) might be the best standing theories of confirmation to date, but they are certainly not paradox-free. Here I recognize that BCTs’ appeal mainly comes from the fact that they capture some of our intuitions about confirmation better than those the- ories that came before them and that the superiority of BCTs is suffi- ciently justified by those advantages. Instead, I will focus on Sylvan and Nola’s claim that it is desirable that our best theory of confirmation be as paradox-free as possible. For this reason, I will show that, as they respond to different interests, the project of the BCTs is not incompatible with Sylvan and Nola’s project of a paradox-free confirmation logic. In fact, it will turn out that, provided we are ready to embrace some degree of non-classicality, both projects complement each other nicely.
Negation as Cancellation, Connexive Logic, and qLPm
Authors: Wansing Heinrich , Skurt Daniel
Published: July 2018

In this paper, we shall consider the so-called cancellation view of negation and the inferential role of contradictions. We will discuss some of the problematic aspects of negation as cancellation, such as its original presentation by Richard and Valery Routley and its role in motivating connexive logic. Furthermore, we will show that the idea of inferential ineffectiveness of contradictions can be conceptually separated from the cancellation model of negation by developing a system we call qLPm, a combination of Graham Priest’s minimally inconsistent Logic of Paradox with q-entailment (quasi-entailment) as introduced by Grzegorz Malinowski.
Pemanfaatan POS Pembinaan Terpadu (POSBINDU) Penyakit tidak Menular (PTM) pada Penderita Hipertensi
Authors: Fuadah Dina Zakiyyatul , Rahayu Naning Furi
Published: July 2018

Penyakit Tidak Menular (PTM) merupakan penyakit yang tidak terdeteksi karena tidak bergejala dan tidak ada keluhan. Biasanya ditemukan dalam tahap lanjut sehingga sulit disembuhkan dan berakhir dengan kecacatan atau kematian dini. Untuk mencegah angka tersebut maka pemerintah mencanangkan program POSBINDU PTM. Tujuan penelitian ini untuk mengetahui hubungan pengetahuan penderita hipertensi dengan pemanfaatan Pos Pembinaan Terpadu (POSBINDU) PTM di desa Banaran wilayah kerja Puskesmas Kauman. Desain penelitian ini menggunakan desain penelitian studi korelasi, dengan metode pendekatan cross sectional. Populasinya adalah penderita hipertensi yang masuk sebagai anggota pro- gram POSBINDU PTM di desa Banaran wilayah kerja Puskesmas Kauman sebanyak 30 orang. Sampel diambil dengan menggunakan teknik Total Sampling. Hasil penelitian menunjukkan bahwa tingkat penge- tahuan penderita hipertensi tentang POSBINDU PTM dalam kategori cukup. Pemanfaatan POSBINDU PTM oleh responden memiliki kategori cukup. Analisa data dalam penelitian ini menggunakan uji statistik Rho Spearman dengan tingkat kesalahan = 0,05didapatkan nilai signifikan (P Value ) 0,004 < 0,05, sehingga terdapat hubungan pengetahuan penderita hipertensi dengan pemanfaatan POSBINDU PTM. Peningkatan derajat kesehatan dapat diupayakan melalui peningkatan pemanfaatan pelayanan POSBINDU PTM di setiap wilayah binaan puskesmas, selain itu peran serta tenaga kesehatan serta kader sangat diperlukan untuk lebih mensosialisasikan tentang POSBINDU PTM ke masyarakat khususnya penderita penyakit tidak menular.
Perception of Supervisor Taking Medicine about the Side Effect of Tuberculosis Medication for Patients
Authors: Suprajitno Suprajitno , Sunarno Imam , Ardiansah Oky Aditya
Published: July 2018

DOTS strategy is a short-term treatment guide with direct supervision by supervisor taking medicine for tuberculosis patients. Supervisors should know, understand, and be able to distinguish between mild and severe side effects of anti-tuberculosis drugs. The failure of Tb treatment depends on supervisor taking medicine. Currently, never been known the perception of supervisor taking medicine about tuberculosis medication side effect. The purpose of the study to know the perception of the supervisor taking medicine about side effects for clients Tb treatment program in Blitar City. The research design used a descriptive. These result studies show the perception supervisor taking medicine about the side effects as much as 54.5% is the right category and as much as 45.5% is the wrong category. The right category perception may be the supervisor taking medicine ever receive information of tuberculosis medication side effect at the public health center while take a drug. Recommendations for health workers are providing appropriate information to the supervisor taking medicine can be improved with technique counseling and training so that improve knowledge and expertise in the management of medication side effects.
Effectiveness of Yoga Movement Suryanamaskar of Dysmenorrhoea Pain Reduction of Adolescent
Authors: Sari Levi Tina
Published: July 2018

In adolescence, a physical phenomenon associated with puberty is in biological processes that lead to the ability to reproduce years marked by menstruation, some women must have experienced pain during menstruation in the form of pain. The purpose of this research was to analyze the effectiveness of yoga suryanamaskar movement to decrease dysmenorrhea pain of adolescent girls. This research used pre-post design, with 20 respondents of the 27 total population. The research was measured by pain scale 0-10 with data analysis using paired sample t-test. The results showed that there was an average increase before and after the intervention of 3.5 points. Test results obtained means there was a significant difference between before and after treatment. Yoga suryanamaskar combines motion, breathing and relaxation techniques, which aimed to feel comfortable. Yoga with body suryanamaskar movement re- quired adequate oxygen intake in order to burn glucose into ATP and burn fat in the body, at that time endorphin hormone appears in order to provide pain relief. So it can be recommended to adolescents as training to reduce dysmenorrhea disk.
Into That Darkness – Nostalgia for a Lost World
Authors: Pluta Karol
Published: July 2018

The subject of the Holocaust is an extremely sensitive issue today. This applies especially to such controversial figures as Franz Stangl. The aim of the article is to show the unusual personality of Franz Stangl through an interpretation of historical facts. The main research material is the book by Gitta Sereny, Into That Darkness: From Mercy Killing to Mass Murder. The method used by the author was a series of interviews, which were given by Stangl at II trial of Treblinka in 1971. The basis for the analysis is a kind of melancholy returns to the past of the camp, by Stangl, which created a sentimental image of the lost world different from what is described in archival materials. Everything he was talking about was in part a product of his imagination, and in part, an attempt to treat these events rationally. He somehow deliberately used means that are specific to a nostalgic coverage of past events, such as colourful metaphors or peculiar descriptions of personal experiences. Stangl manipulated the events in order to justify his own behaviour or escape from the responsibility.
Yearning for Beauty. The Expression of Melancholy in Toni Morrison’s “The Bluest Eye”
Authors: Kozłowska Aleksandra
Published: July 2018

The purpose of the paper is to discuss the sources and results of melancholy in Toni Morrison’s novel The Bluest Eye with reference to Dominick LaCapra’s theory based on a distinction between loss and absence. LaCapra claims that the former concept refers to a particular event, while the latter cannot be identified with any specific point in time or object. What is more, LaCapra admits that absence may result in melancholy, i.e. the state in which the individual remains possessed by a negative emotion because there is no possibility of working it through. The idea of absence causing melancholy is exemplified by the protagonist of The Bluest Eye, Pecola Breedlove. The girl dreams about acquiring blue eyes that belong to the prevailing white model of beauty which excludes African-American features. The feeling of absence is intensified by the U.S. education system aimed at promoting the lifestyle and characteristics of white Americans, her own mother who prefers serving white people to taking care of her own children, and the peers that constantly stigmatize Pecola for ugliness. Consequently, she becomes obsessed with the unattainable blue eyes. Since there is no chance for her to be accepted and thus cope with the absence of white features, the girl suffers from melancholy which leads her to insanity and exclusion from society.
Sharing more than friendship – transmission of NDM-5 ST167 and CTX-M-9 ST69 Escherichia coli between dogs and humans in a family, Finland, 2015
Authors: Grönthal Thomas , Österblad Monica , Eklund Marjut , Jalava Jari , Nykäsenoja Suvi , Pekkanen Katariina , Rantala Merja
Published: July 2018

Introduction

Carbapenemase-producing Enterobacteriaceae (CPE) have rarely been reported in dogs, and never in animals in Finland. However, in April 2015, two meropenem-resistant Escherichia coli were identified from two dogs in one family. Both dogs suffered from chronic otitis externa. Methods: Epidemiological and molecular investigations (pulsed-field gel electrophoresis (PFGE), multilocus sequence typing) were conducted to investigate the source of infection and transmission routes. Results: In both dogs and one family member New Delhi metallo-beta-lactamase (NDM-5)-producing multidrug-resistant ST167 E. coli was found. Whole genome sequencing confirmed that the isolates were identical or only had one or two allelic differences. Additionally, the dogs and humans of the family carried an identical extended-spectrum beta-lactamase (ESBL) CTX-M-group 9 E. coli ST69 strain, indicating interspecies transmission. While the original source remains unclear, human-to-canine transmission is possible. No carbapenems had been administered to the dogs, but exposure to numerous other antimicrobials likely sustained the bacteria and supported its propagation in the canine host. Conclusion: To our knowledge, canine clinical NDM-5 E. coli in Europe, and confirmed CPE transmission between dogs and humans have not been previously reported. The screening of veterinary Enterobacteriaceae isolates for carbapenem resistance is highly recommended.
Gonorrhoea treatment failure caused by a Neisseria gonorrhoeae strain with combined ceftriaxone and high-level azithromycin resistance, England, February 2018
Authors: Eyre David W , Sanderson Nicholas D , Lord Emily , Regisford-Reimmer Natasha , Chau Kevin , Barker Leanne , Morgan Markus , Newnham Robert , Golparian Daniel , Unemo Magnus , Crook Derrick W , Peto Tim EA , Hughes Gwenda , Cole Michelle J , Fifer Helen , Edwards Anne , Andersson Monique I
Published: July 2018

We describe a gonorrhoea case with combined high-level azithromycin resistance and ceftriaxone resistance. In February 2018, a heterosexual male was diagnosed with gonorrhoea in the United Kingdom following sexual intercourse with a locally resident female in Thailand and failed treatment with ceftriaxone plus doxycycline and subsequently spectinomycin. Resistance arose from two mechanisms combining for the first time in a genetic background similar to a commonly circulating strain. Urgent action is essential to prevent further spread.
Types of large flood events (1985-2016)
Authors: Meyer Chloé
Published: July 2018

The information presented highlights large flood events from 1985 to 2016 identified by the Dartmouth Flood Observatory. For more information, visit: floodobservatory.colorado.edu/Archives/index.html

For mapping purposes, some types of flood events have been merged into one, under the "MAINCAUSEF" attribute. Please refer to the "MAINCAUSE" attribute for original data.

Flood
Global interannual variability
Authors: Meyer Chloé
Published: July 2018

Inter-annual variability measures the variation in water supply between years.

Drought
Flood
Surface water
Global return flow ratio
Authors: Meyer Chloé
Published: July 2018

Population using an improved drinking water source (piped water into dwellings, yards or plots; public taps or standpipes; boreholes or tubewells; protected dug wells; or protected springs and rainwater) that is located on premises and available when needed and which is free of faecal and priority chemical contamination.

Basin
Pollution
Quality
Waste
Total charges for drinking water in 2015
Authors: Meyer Chloé
Published: July 2018

Total charges for a consumption of 100m³, expressed in US dollars, for 165 cities.

The full data are available online. For more information, visit: www.waterstatistics.org

Cost
Drinking water
Hydropower plants in the Dinaric Alps region (2013)
Authors: Meyer Chloé
Published: July 2018

Water accounts for the main source of production of electrical power in the Dinaric Alps, and contribute significantly to the countries’ economies. Albania gains 83 % of all electricity from hydropower plants, Montenegro 75 %, Bosnia and Herzegovina 60% and Croatia 54 %.

Data were collected in the framework of the DIKTAS project. For more information, visit the DIKTAS project website: http://diktas.iwlearn.org/resources/projectdocuments/transboundart-diagniostics-analysis/transboundary-diagnostic-analysis-tda/view

Karst
Surface water
Transboundary
Use/Reuse
Presence of water in 696 water points in Bolivia (2015-2016)
Authors: Meyer Chloé
Published: July 2018

This layer identifies if any water was available at the water point on the day of the visit (recognizing that it may be a limited flow) in Bolivia. Data was gathered from the Water Point Data Exchange (WPDx) platform, a tool established for sharing water point data throughout the global water sector.

The goal of the Water Point Data Exchange is to simplify the way water point data is shared so all stakeholders can work more efficiently.

For more information, visit the WPDx website at https://www.waterpointdata.org/

Accessibility
Drinking water
Supply
Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing in 2015 for 15-49 year-old males
Authors: Guefradj Najet
Published: July 2018

This layer represents the percentage of total Disability-Adjusted Life Year attributable to unsafe water, sanitation and handwashing for 15-49 year-old males in 2015.

One DALY can be thought of as one lost year of "healthy" life. The sum of DALYs across a population help to quantify the burden of disease, and to evaluate the gap between current health status and an ideal health situation.

Estimates and additional related resources can be found in the Global Burden of Study here: http://ghdx.healthdata.org/gbd-2015 For more information, visit the Institute for Health Metrics and Evaluation website: http://www.healthdata.org/gbd

Gender
Health
Youth
INJECTION ANNEALING OF THE SELF DI-INTERSTITIAL – OXYGEN COMPLEX IN p-TYPE SILICON
Authors: Makarenko L. F. , Lastovskii S. B. , Gaubas E. , Pavlov Je. A. , Moll M. , Yakushevich H. S. , Murin L. I.
Published: July 2018

With the use of deep level transient spectroscopy (DLTS) the effect of injection of minority charge carriers (electrons) on an annealing rate of self di-interstitial – oxygen (I2O) complex in silicon has been studied. The complex has been formed by irradiation of epitaxial boron-doped n+–p diode structures with alpha-particles at room temperature. It has been shown that the disappearance of this complex at room temperature begins at a direct current density of ~1.5 A/cm2. This characteristic current density has been found for 10 W·cm p-type silicon when the total radiation defect density was less than 15 % of the initial boron concentration, a divalent hole trap with energy levels of Ev + 0.43 eV and Ev + 0.54 eV has been found to appear as a result of recombination-enhanced annealing of the I2O. When the I2O complex is annealed thermally, the concurrent appearance of an electron trap with an energy level of Ec – 0.35 eV has been observed. It has been shown that the divalent hole trap represents a metastable configuration (BH-configuration) of the bistable defect, whereas the electron trap is stab le in the p-Si configuration (ME-configuration). From the comparison of DLTS signals related to different defect configurations it is found that the ME-configuration of this bistable defect can be characterized as a center with negative correlation energy. It has been shown that the injection-stimulated processes make it very difficult to obtain reliable data on the formation kinetics of the bistable defect in the BH-configuration when studying the thermal annealing of the I2O complex.
STRONGLY IRREGULAR PERIODIC SOLUTIONS OF THE FIRST-ORDER LINEAR HOMOGENEOUS DISCRETE EQUATION
Authors: Demenchuk A. K.
Published: July 2018

In 1950 J. Massera proved that a fi rst-order scalar periodic ordinary differential equation has no strongly ira proved that a first-order scalar periodic ordinary differential equation has no strongly irregular periodic solutions, that is, such solutions whose period of solution is incommensurable with the period of equation. For difference equations with discrete time, strong irregularity means that the period of the equation and the period of its solution are relatively prime numbers. It is known that in the case of discrete equations, the above result of J. Massera has no complete analog.

The purpose of this article is to investigate the possibility to realize Massera’s theorem for certain classes of difference equations. To do this, we consider the class of linear difference equations. It is proved that a first-order linear homogeneous non-stationary periodic discrete equation has no strongly irregular non-stationary periodic solutions.
SYNTHESIS AND ANTIBACTERIAL ACTIVITY OF SOME 1,4- AND 1,4,5-SUBSTITUTED-1H-1,2,3TRIAZOLES IN RELATION TO THE STAPHYLOCOCCUS AUREUS STRAIN
Authors: Zuraev A. V. , Lishai A. V. , Grigoriev Yu. V. , Ivashkevich O. A.
Published: July 2018

A number of 1,4- and 1,4,5-triazoles have been synthesized using a modified catalytic system for the Huisgen [3+2] cycloaddition reaction. The bactericidal activity of the synthesized compounds has been studied. The synthesized derivatives of 1H-1,2,3-triazoles have demonstrated higher antibacterial activities in relation to the pathogen Staphylococcus aureus strain which can be comparable with the clinically used antibiotic “Cefotaxime”.
SURGICAL APPROACH TO ELIMINATING THE POST-TRAUMATIC INSTABILITY OF THE SHOULDER JOINT
Authors: Danilenko O. A. , Makarevich E. R. , Serduchenko N. S.
Published: July 2018

The results of treatment of 290 patients with chronic post-traumatic instability of the shoulder joint treated for the period 2004–2017 are studied. In accordance with the task, the authors identified 3 clinical variants of post-traumatic instability depending on the prevailing direction of the dislocation. Taking into account the revealed variants, the authors studied their morphogenesis and developed a differentiated tactic and ways of their elimination. The proposed approaches based on the identification and elimination of damages of the rotary-bicepital complex, as well as the developed methods of surgical treatment made it possible to improve the subjective feelings of patients on the OOP scale from 56 [48; 58] to 24 [12; 28] (Me [Q25; Q75]) and indicators of objective evaluation of the function on the Rowe scale from 15 [15; 55] to 75 [75; 100] points.
INVESTIGATION OF INFLUENCE OF TECHNOLOGICAL IMPURITIES ON THE I–V CHARACTERISTICS OF THE BIPOLAR n–p–n-TRANSISTOR
Authors: Odzhaev V. B. , Panfilenko A. K. , Pyatlitski A. N. , Prosolovich V. S. , Shvedau S. V. , Filipenya V. A. , Yavid V. Yu. , Yankovsky Yu. N.
Published: July 2018

Contamination of the monocrystal silicon with technological impurities in the devices fabrication process exerts a considerable influence on the electro-physical characteristics of the bipolar n–p–n-transistors. Revelation of the causes of the labile reproducibility of the basic characteristics of the bipolar planar n–p–n-transistors is vital for the purpose of establishing the factors, determining reliability and stability of the operational parameters of the integrated circuits. There were investigated I–V characteristics of the various lots of the bipolar n–p–n-transistors, fabricated under the epitaxialplanar technology as per the similar process charts with the identical used technological materials, however, at different times. It is established that the electro-physical characteristics of the bipolar n–p–n-transistors substantially depend on the contents of the technological impurities in the substrate material. Availability of the high concentration of the generation-recombination centers, related to the metallic impurities, results both in increase of the reverse current of the collector – base junction of the transistors and the significant reduction of the breakdown voltage of the collector junction. The most probable cause of deterioration of the electro-physical parameters of the bipolar n–p–n-transistors is the material contamination with the technological impurities (such, as Fe, Cl, Ca, Cu, Zn and others) during the production process of the devices fabrication. The sources of impurity may be both the components and sub-assemblies of the technological units and the materials and reagents under usage.
SIMULATION OF INTERACTION OF ELECTROMAGNETIC WAVES WITH ANISOTROPIC MEDIA UNDER HYDROCARBON DEPOSITS IN THE MODE OF VIDEO-PULSE SIGNALS
Authors: Yanushkevich V. F. , Ivanova K. I. , Ivanov M. M.
Published: July 2018

The article presents the simulation of the interaction of electromagnetic waves in the mode of video pulse signals with the medium over hydrocarbon deposits. The analysis of the spectra of reflected video pulse signals from the medium over hydrocarbons is carried out. A study of the propagation of radio waves over hydrocarbons is carried out within the framework of a quasihydrodynamic approximation. The choice of the frequencies of video pulse signals is due to the determination of media characteristics over deposits at great depths compared to the surface of the earth. The spectrum of reflected signals from an anisotropic medium above a hydrocarbon deposit in the mode of video pulse signals can be used to determine the electrodynamic characteristics of the medium over the deposit over a wide range of frequencies of probed signals, dielectric permittivities and conductivity of media. The ability to reconfigure a geo-prospecting device from one mode to another (pulse width adjustment) in the presence of a deposit complements the functionality to search for hydrocarbon deposits. Electromagnetic methods for the search for and identification of hydrocarbons can be improved by obtaining information about objects through several information channels, which allows them to be identified with a sufficiently high level of reliability on the background of the underlying environment. The depths of occurrence, the resolving power in the investigated frequency range are determined. The results of the research can be used to develop new electromagnetic methods for the search for hydrocarbon deposits.