Miracle-dz/UniFAR-FTUs huggingface dataset:
PROSODY-CONTROLLABLE HMM-BASED SPEECH SYNTHESIS USING SPEECH INPUT

This paper proposes an HMM-based speech synthesis system that makes it possible to control the prosody of the synthesized speech through speech input. As creative activities using speech synthesis technologies have been rapidly growing in popularity, there is great demand for interfaces to synthesize speech of a specific target speaker as the users want. The proposed system allows the users to guide prosody of synthetic speech of the target speaker by using their own speech while preserving the original functionality of the HMM-based speech synthesis as a text-to-speech synthesis system. The proposed system consists of 3 main modules: a duration determination module, a F0 modification module, and a speech parameter generation module. The first 2 modules ensure that the duration and F0 of the input speech are reflected in the synthetic speech, and the last module generates synthetic speech parameters according to the determined duration. We examine properties of each module on speech quality and prosodic mimicking ability of synthetic speech, with experimental resulting demonstrate the effectiveness of the proposed system.
DMSO_A_210616 2419..2431

1Postgraduate Program, Doctorate in Nutritional Sciences, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil; 2Health Sciences Institute, Faculty of Nutrition, Federal University of Pará (UFPA), Belém, Brazil; 3Center for Research on Micronutrients (NPqM), Institute of Nutrition Josué de Castro of UFRJ, Rio de Janeiro, Brazil; 4Biomedicine Department, Biochemistry Unit, Faculty of Medicine, University of Porto, Porto, Portugal; 5Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil; 6Multidisciplinary Center for Bariatric and Metabolic Surgery, Rio de Janeiro, Brazil; 7Department of Social and Applied Nutrition of the Institute of Nutrition, UFRJ, Rio de Janeiro, Brazil Purpose: To describe clinical, biochemical and anthropometric profiles in adults with class
Novel Encryption Control Mechanism Algorithm for Wimax Network

A critical issue in Wimax network where the data can hack by the person, and hence we add a novel encryption mechanism to protect the data transfer from client to server and vice versa. We present a Queuing model of an client and server that uses for bulk arrival service. The arrivals of data requests are assumed to markov Poisson distributed process (MPDP) and the events are considered in the server for process sharing. We obtain the parameter of service rate, Arrival rate, expected waiting time and expected busy period. The total number of packets request are processed, there is no time limited to arrivals, while compared to m/m/1 model our model m/m(1,b)/1 is more efficient to find response and request time in between client and server. We also derive the expression for the data value of threshold. In addition to that we perform simulation model has been validated through Java programming.
Proposal of an Impression Mining Method Based on Analysis of People’s Impression Data

近年,テキストから感情や印象,評価といった主観的 な情報を抽出しようという研究[1][2]が増加傾向にある. 例えば,映画レビューや書評をその内容に基づいて Positive,Negative の 2 クラス,あるいは Neutral を加えた 3 クラスに分類するという研究[3][4]や,ニュース記事を 複数の感情クラスに分類するという研究[5],入力された テキストに任意の印象語(印象を表す形容詞など)をタ グとして付与するという研究[6][7]などがある. しかしな がら,読み手がどう受け取るかという観点から読み手が 感じる印象(特に「悲しい」や「のどか」などの感情的 印象)の強さを数値的に求めるという研究はまだ少ない [8][9]. そこで本稿では,新聞記事を例に,記事を読んだ人々 が感じる印象の強さを数値的に求めるための手法(本稿 では,印象マイニング手法と呼ぶ)を提案する. 本手法 が対象とする印象は,「楽しい ⇔ 悲しい」,「うれしい ⇔ 怒り」,「のどか ⇔ 緊迫」の 3 種類であり,それぞ れの印象に対して「(左側の印象を)感じる(1 点), 割と感じる(2 点),やや感じる(3 点),(どちらの印 象も)感じない(4 点),(右側の印象を)やや感じる (5 点),割と感じる(6 点),感じる(7 点)」という 7 段階の評価スケール(以下,印象尺度と呼ぶ)を割り 当てる. すなわち,提案手法は,それぞれの印象尺度に おいて,そのスケールに準じた 1.0~7.0 の実数値を,印 象の強さを表す印象値として出力する. このような手法を設計するに当たり,出力された印象 値が,読み手が感じる印象の強さを表していることをど うやって担保するのかという問題を考える. 著者らは, 新聞記事データベースにおける任意の単語と特定の印象 語群との(記事内)共起関係に基づいて印象辞書[10](記 事から抽出される特徴量の記事印象への影響力を示すも の)を印象尺度ごとに構築し,それぞれの印象辞書を用 いて算出される記事の印象値とその記事を読んだ人々が 感じる印象値との対応関係を定式化することで,(記事 内)共起関係という読み手が介在しない方法で算出され る印象値を読み手が感じる印象の強さへと変換すること を試みる. 具体的には,以下の 2 つのアプローチを採用 する. まず,それぞれの印象尺度において,印象辞書を用い て算出される記事の印象値とその記事を人々が読んだと きに感じる印象値との対応関係を回帰分析により調べ, その結果得られる回帰式を用いて算出された印象値を補 正するというアプローチをとる. このアプローチは著者 らの先行研究[10]ですでに提案しており,その有効性も確 認されている. 次に,それぞれの印象が独立ではない点 に着目し,それぞれの印象辞書を用いて算出される印象 値を相互に利用することで,各印象尺度における記事の 印象値を算出し直すという新たなアプローチをとる. 本 稿では,この 2 つのアプローチを組み合わせることで, より高精度な手法の実現を目指す. なお,本稿では,記事から抽出する特徴量として単語 unigram を採用する. 単語 unigram は,記事特徴量として の網羅性が高く,使い勝手がいいことから,数多くの研 究[4][10]で採用されている. 特に Pang らの研究[4]では他 の特徴量(単語 bigram のみ,単語 unigram と単語 bigram の組み合わせ,単語 unigram と品詞情報との組み合わせ など)を用いるよりも単語 unigram のみを用いた方が, 精度が良かったことが示されている. 以下,第 2 章で関連研究を整理し,提案手法との違い を示す. 第 3 章で本稿で用いる著者らの先行研究[10]を説 明する. 第 4 章でこの手法を用いて算出される各記事の 印象値を説明変数(3 個),人々がその記事を読んだと きに感じる印象値を目的変数とする重回帰分析を行い, その対応関係を定式化する. 第 5 章で提案手法の精度を 評価し,その有効性を検証する. 最後に第 6 章で本稿の まとめと今後の課題について述べる.
HIV Testing and Infection Expectations in Malawi

The response of an individual’s subjective expectations about being infected with HIV to information about his/her HIV status is a critical aspect in assessing whether expansion of HIV testing and counseling services in developing countries will result in the adoption of risk reduction strategies and reduced HIV incidence. To investigate this issue, we use a longitudinal dataset from rural Malawi that combines innovative probabilistic expectations about HIV infection with a randomized design for HIV testing to investigate whether providing an individual with information about his/her HIV status results in more accurate beliefs about his/her own infection status two years after the HIV test. We find that learning about one’s HIV-positive status has no impact on medium-term subjective beliefs about one’s own HIV infection. We also show that learning one’s HIV-negative status results in higher subsequent beliefs about one’s own infection, as well as larger prediction errors about one’s HIV status.
Standard Formats for Presentation of Spectroscopic Data on Enzymes

Spectroscopic methods are often used to follow the course of enzymecatalysed reactions. UV/visible spectrophotometry is the most common, but a wide range of other spectroscopic techniques, including infrared and nuclear magnetic resonance, as well as mass spectrometry, are in use. Spectroscopy and spectrometry are also used in the characterization of the enzymes themselves, and in the identification and quantification of substrates and cofactors. Hitherto, there has been no formal requirement to archive original spectroscopic data, as there is for protein structures and gene sequences. However, the funding agencies increasingly expect grantees to have policies on data sharing, and to deposit all types of experimental data. Spectroscopic data are now conveniently acquired in digital form, but apart from printed documents, there are no universally accepted formats for data storage. Spectra are produced by proprietary software written by instrument manufacturers to run their own instruments. Data formats are nonstandard and may be difficult to read directly. Standard, vendor-neutral data formats have been established for certain types of spectroscopy, such as JCAMP-DX (from the Joint Committee on Atomic and Molecular Physical Data eXchange) for several types of spectroscopy, including infrared and NMR. The details of each format necessarily depend on the type of spectroscopy. There are parallel developments of criteria for meta-data and data validation. Standard formats will facilitate the use of electronic notebooks. The extension of these formats to different types of spectroscopy and spectrometry will facilitate 87 http://www.beilstein-institut.de/ESCEC2009/Proceedings/Cammack/Cammack.pdf Experimental Standard Conditions of Enzyme Characterizations, September 13 – 16, 2009, Rüdesheim/Rhein, Germany
Winner's Curse, Size Effect and Bandwagon Effect in Explaining the Under-Pricing Phenomenon of Malaysian Ipos

This study examines the issues of winner's curse, size effect and bandwagon effect in explaining the under-pricing phenomenon of Malaysian IPOs, for the period from January 2001 to December 2008. The average initial return for the Malaysian private placement IPOs (a proxy for informed investors) is significantly lower than that of the non-private placement IPOs (a proxy for uninformed investors), which gives support to the winner's curse hypothesis, where uninformed investors demand a higher initial return in the absence of informed investors. Using listing board as proxy for size of companies, we find that the smaller the company, the higher the average initial return, thus giving support to size effect, where investors usually demand higher initial return for smaller companies due to their higher perceived risk. The study also finds that the presence of a large number of informed investors as compared to uninformed investors in an IPO exercise will result in an increase in demand for that particular stock in the secondary market, which gives support to the bandwagon effect.
DETERMINANTS OF SUPPLY CHAIN FINANCE ADOPTION AMONG MALAYSIAN MANUFACTURING COMPANIES: A PROPOSED CONCEPTUAL FRAMEWORK

Supply chain finance can be regarded as a new way to support the competitiveness and resilience of company’s financial performance since the financial crises in 2008. Despite many benefits that it can offer, the adoption rate was still very low especially in developing countries. In Malaysia, the lower adoption rate is witnessed by low penetration of supply chain finance among manufacturing industry players. Business must not only focus on conventional way of financing their projects but it is essentially finance the projects with less cost possible. However, this has not been met. This study aims at investigating and ISSN: 2411-5681 www.ijern. com 238 determining factors that influence the attitude towards supply chain finance using Theory-ofPlanned Behavior and Technology Acceptance Model. The research findings will be a platform to unravel the belief factors that influence the formation of attitude of the manufacturers towards supply chain finance and their intention to adopt supply chain finance in business.
Learning noisy Discourse Trees

It is well known that syntax-level analysis of user-generated text such as tweets and forum postings is unreliable due to its poor grammar and incompleteness. We attempt to apply a higher level linguistic analysis of rhetoric structure and investigate the potential application domains. We leverage an observation that discourse-level structure can be extracted from noisy text with higher reliability than syntactic links and named entities. As noisy text frequently includes informal interaction between agents, discussions, negotiations, arguments, complaints, we augment discourse trees with speech acts. Speech Act discourse tree (SADT) is defined as a discourse tree with verbs for speech acts as labels for its arcs. We identify text classification tasks which relies on tree kernel learning of SADTs: detection of negative mood (sentiment), text authenticity and answer appropriateness for question answering in social domains. The results are that the proposed technique outperforms on the discourse level traditional keyword-based algorithms in all of these three tasks.
Weak Gravitational Lensing

Weak gravitational lensing measurements shed a new light on the dark matter distribution in our universe. We present an introduction to weak lensing. Starting with a derivation of the deflection angle for a ray of light deflected by a point mass. Then by investigating the typical geometry of weak lensing we introduce the dimension–less surface mass density and the shear of the lensing mass distribution. We discuss and compare two methods to probe the mass distribution. The two methods are based respectively on shear and magnification by the lensing galaxy, we conclude that shear measurements give more significant results than magnification measurements. The end of this paper is dedicated to the discussion of two papers that used weak gravitational lensing measurements.
Flammability and Sensitivity of Materials in Oxygen-Enriched Atmospheres PAPER ID: STP-2015-0087 Available online at www.astm.org

Solvents used to clean oxygen system components must be assessed for oxygen compatibility, as incompatible residue or fluid inadvertently left behind within an oxygen system can pose a flammability risk. The most recent approach focused on solvent ignition susceptibility to assess the flammability risk associated with these materials. Previous evaluations included Ambient Pressure Liquid Oxygen (LOX) Mechanical Impact Testing (ASTM G86) and Autogenous Ignition Temperature (AIT) Testing (ASTM G72). The goal in this approach was to identify a solvent material that was not flammable in oxygen. As environmental policies restrict 1 Standard Test Project Manager, Materials and Component Laboratories Office, NASA White Sands Test Facility, Las Cruces, New Mexico. 2 Standard Test Lead Flammability Test Engineer, NASA Test and Evaluation Contract, NASA White Sands Test Facility, Las Cruces, New Mexico. 3 Flammability Project Manager, Lockheed Martin, NASA Johnson Space Center, Houston, Texas. 4 Standard Test Flammability Consultant, NASA White Sands Test Facility, Las Cruces, New Mexico. 5 Component Services Project Manager, NASA White Sands Test Facility, Las Cruces, New Mexico. 6 Materials and Component Testing Laboratories Office Chief, NASA White Sands Test Facility, Las Cruces, New Mexico. https://ntrs.nasa. gov/search.jsp? R=20160001029 2019-12-15T16:00:36+00:00Z
Agreement is overrated: A plea for correlation to assess human evaluation reliability

Inter-Annotator Agreement (IAA) is used as a means of assessing the quality of NLG evaluation data, in particular, its reliability. According to existing scales of IAA interpretation – see, for example, Lommel et al. (2014), Liu et al. (2016), Sedoc et al. (2018) and Amidei et al. (2018a) – most data collected for NLG evaluation fail the reliability test. We confirmed this trend by analysing papers published over the last 10 years in NLG-specific conferences (in total 135 papers that included some sort of human evaluation study). Following Sampson and Babarczy (2008), Lommel et al. (2014), Joshi et al. (2016) and Amidei et al. (2018b), such phenomena can be explained in terms of irreducible human language variability. Using three case studies, we show the limits of considering IAA as the only criterion for checking evaluation reliability. Given human language variability, we propose that for human evaluation of NLG, correlation coefficients and agreement coefficients should be used together to obtain a better assessment of the evaluation data reliability. This is illustrated using the three case studies.
Improved optoelectronic properties in CdSexTe1−x through controlled composition and short-range order

We employ first principles methods based on density functional theory and beyond to study CdSexTe1−x alloys in the zincblende and wurtzite structures. From the cluster expansion formalism, we provide a detailed phase diagram showing a consolute temperature of 325 K, above which miscibility may be achieved. In the random solid solution, a zincblende-to-wurtzite phase boundary is found to range from Se concentrations of x=0.5–0.6, in agreement with experiment, owing to increasing ionic character of the Cd-anion bonds. Disordered CdSexTe1−x configurations are modeled using special quasirandom structures, for which optoelectronic properties are computed with the hybrid HSE06 functional. Alloying is shown to cause strong bowing effects in the band gap and effective electron/hole masses, which we attribute to local structural distortions as illustrated by analysis of bond length distributions. Downward bowing in the band gap and effective hole mass of the zincblende structure is highlighted for its potential benefits in photovoltaics through increased net photocurrent. Absorption coefficients and reflectivity are also reported, showing promising results in zincblende CdSexTe1−x as indicated by substantial optical absorption throughout all Se concentrations. Lastly, we identify the presence of short-range order in CdSexTe1−x characterized by clustering among like atoms in order to minimize strain. The degree of clustering, which may be tuned by temperature, also controls the magnitude of the band gap. Therefore, we propose both composition and short-range order as effective tools to be utilized in the design and synthesis of improved solar cell absorber layer materials.
Four New Species of Provanna (Gastropoda: Provannidae) from Vents and a Seep off Nansei-shoto Area, Southwestern Japan

Members of the genus Provanna are abundant and widely distributed in deep-sea chemosynthetic environments. Around Japan provannids inhabit a wide range of depths and substrates. In this study, we report additional species of Provanna from vents and a seep in the Nansei-shoto area. Shell morphological and molecular phylogenetic analyses showed that there are four new species: (1) P. subglabra is characterized by an in ated smooth shell and is most abundant in vent elds in the Okinawa Trough; (2) P. clathrata has a roughly sculptured shell and is distributed in vents in the southern Okinawa Trough; (3) P. lucida possesses a thin smooth shell with a deep suture and is limited to vents on the Minami-Ensei Knoll in the northern Okinawa Trough; and (4) P. kuroshimensis, which is distinguished by an olive-colored periostracum and is endemic to a seep site on the Kuroshima Knoll. In contrast to shell and molecular characters, radula morphology does not show clear differences among these species. The present study revealed a high species diversity of Provanna in a relatively limited area in southwestern Japan. The diversi cation of the genus might be correlated with complex topographic features in the Nansei-shoto area including the Okinawa Trough and Ryukyu Arc.
An Electrodynamically Actuated Microvalve Designed for High Pressures

This paper describes the design and fabrication of a normally closed, electrodynamic microvalve that can withstand gaseous pressures up to 1 MPa. Electromagnetic forces between magnetic materials in the valve cover and valve seat hold the valve closed. A combination of electrodynamic actuation and a restoring spring are used to open the valve. A detailed discussion of the design model including a device optimization strategy is included. Theoretical performance of the valve is provided, including a theoretical maximum pressure of 1 MPa. A four wafer fabrication process is described. Methods for testing, packaging and integration of the device are proposed for future work.
Elemental and Synthetic e-Learning

The integrated framework in this paper consists of a hierarchy of elemental and synthetic e-learning outcomes. It is less formal than a specialized educational taxonomy but potentially useful for conducting a naturally occurring iterative process of learning analysis. Although the framework is intentionally less specific than a learning taxonomy, it lies somewhere along the situated side of the transfer continuum largely because of its emphasis on the elemental learning outcomes described below.
A Survey on Adversarial Machine Learning

Machine Learning has been one of the most talked about subjects in this era. ML techniques are rapidly emerging as a vital tool in different aspects of computer systems, networking, cloud and even hardware because they can infer hidden patterns in large complicated datasets, adapt to new behaviors, and provide statistical soundness to decision making processes.As it gets more important in different aspects of technology, a new subject would come into notice which is the security. This survey will categorize different uses of machine learning as a means to attack or defense against security attacks. Moreover, the security of machine learning models that are used every day is also another aspect that will be considered in this survey.
Comparisons between Aquaponic and Conventional Hydroponic Crop Yields: A Meta-Analysis

Aquaponic is a relatively new system of farming, which has received much research attention due to its potential for sustainability. However, there is no consensus on comparability between crop yields obtained from aquaponics (AP) and conventional hydroponics (cHP). Meta-analysis was used to synthesize the literature on studies that compared crop yields of AP and cHP. Factors responsible for differences were also examined through subgroup analysis. A literature search was conducted in five databases with no time restriction in order to capture any publication on AP and cHP crop yield comparisons. The search was, however, limited to journal and conference articles published in English. Study characteristics and outcome measures of food crops were extracted. A natural log response ratio effect size measure was used to transform study outcomes. An unweighted meta-analysis was conducted through bootstrapping to calculate overall effect size and its confidence interval. Between-study heterogeneity ( I 2 ) was estimated using a random effects model. Subgroup and meta-regression were used to assess moderators, in an attempt to explain heterogeneity in the effect size. The results showed that although crop yield in AP was lower than conventional cHP, the difference was not statistically significant. However, drawing conclusions on the overall effect size must be done with caution due to the use of unweighted meta-analysis. There were statistically significant effects of aquatic organism, hydroponic system type, and nutrient supplementation used in the studies on crop yield comparisons. Nutrient supplementation, particularly, led to on average higher crop yield in AP relative to cHP. These findings are a vital information source for choosing factors to include in an AP study. These findings also synthesize the current trends in AP crop yields in comparison with cHP.
A Study of Effect of Stereoscopic Pseudo-Transparency on Depth and Transparency Perception in AR

A challenge to Augmented Reality (AR) is to provide proper depth perception when an inner virtual object image is overlaid on a real object. To improve depth perception in stereoscopic AR, we focus on the “stereoscopic pseudo-transparency” effect induced by a method that overlays a random dot mask on the real object surface. This method conveys to the observers the illusion of observing the virtual object through many small holes and makes We expect that our proposed method improves not only the perception of the spatial relationship between a real object surface and an inner object, but it also improves the depth perception (i.e., observers can distinguish the distance between them). Through the series of experiments, we investigated that (1) the occlusion and density of the mask affects depth and transparency perception, respectively, (2) the proposed method is effective for improving the depth perception between the real object surface and the virtual object compared to existing methods, and (3) the proposed method can be used with motion cues.
Discussion Paper No . 2008 / 07 Health and Labour Market Participation in Uganda

The paucity of non-agricultural paid employment, and under utilization of female labour in Uganda, and other sub-Saharan African countries, is often seen to be the next major obstacle to further poverty reduction and development in the region. Despite this there have been few empirical investigations that examine the key determinants of labour market participation for the region. By using nationally representative household data from Uganda this paper identifies some of the key supply side determinants of participation. Here we instrument for self-reported health and find that conditional on participation ill health lowers the likelihood of being in the formal labour market. In addition and perhaps more worryingly, these negative effects are stronger for women than men.