Reviewerly/exHarmony huggingface dataset:
Structural Architecturing of the Western Khisor Range, North of Saiyiduwali: Implications for Hydrocarbon Prospects, KPK, Pakistan

Western Khisor Range segment of the Trans-Indus ranges is a south-vergent, east-west trending foldthrustbelt that protrudes southward into Himalayan foreland deep. The frontal flanks of range are characterizedby east-west trending parallel to enechelon, plunging local anticlines and synclines structures. General structuralstyle of folds was observed asymmetric to overturn and dominantly south vergent. The frontal outskirts of thestudy area is demarcated by a youngest partly emergent thrust fault named as Khisor Thrust. Outcrops projectionto subsurface of the structural features suggests a thin-skinned tectonic mechanism for growth of the westernKhisor Range where gliding surface for the frontal thrust sheet being located within the Cambrian rocks ofJhelum Group at a maximum depth of 4km. The structural evolution of the western Khisor Range is generallyascribed to southward directed thrust transferral system along the basal decollement being observed at base ofthe Cambrian Khewra Sandstone. Along this detachment horizon the Khewra Sandstone emplaced over theRecent alluvium and boulder bed deposits. The Khisor Thrust fault bulldozed the fore limb of the SaiyiduwaliAnticline and demarcates the north-western proximity of the Punjab Foredeep. The Khisor Thrust sheet ispredominantly comprised of the shallow marine rocks of Paleozoic to Mesozoic, laterally extended along therange. The stratigraphic framework of the western Khisor Range is considerably related and correlative to theeastern Trans-Indus and Salt ranges. Cambrian strata of the western Khisor Range comprise of Jhelum Groupwhere its apex is underlain by the Permian Nilawahan and Zaluch groups rocks, consists of the Sardhai andAmb formations. The Sardhai Formation was observed 50m thick and consists of dark gray to blackish gray andblack carbonaceous shale while the lower constituents of the Amb Formation contains dark gray carbonaceousand calcareous shale up to 30m thick, which is favorable setting for hydrocarbon potential of the area. Blendingof structural style and stratigraphic framework of the western Khisor Range urges that the south-westernforedeep in proximity of Saiyiduwali is significantly associated for the hydrocarbon research, as thickcarbonaceous lithofacies of both formations are viable potential source rocks.
A Speech Act Classifier for Persian Texts and its Application in Identify Speech Act of Rumors

Speech Acts (SAs) are one of the important areas of pragmatics, which give usa better understanding of the state of mind of the people and convey anintended language function. Knowledge of the SA of a text can be helpful inanalyzing that text in natural language processing applications. This studypresents a dictionary-based statistical technique for Persian SA recognition.The proposed technique classifies a text into seven classes of SA based on fourcriteria: lexical, syntactic, semantic, and surface features. WordNet as thetool for extracting synonym and enriching features dictionary is utilized. Toevaluate the proposed technique, we utilized four classification methodsincluding Random Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB),and K-Nearest Neighbors (KNN). The experimental results demonstrate that theproposed method using RF and SVM as the best classifiers achieved astate-of-the-art performance with an accuracy of 0.95 for classification ofPersian SAs. Our original vision of this work is introducing an application ofSA recognition on social media content, especially the common SA in rumors.Therefore, the proposed system utilized to determine the common SAs in rumors.The results showed that Persian rumors are often expressed in three SA classesincluding narrative, question, and threat, and in some cases with the requestSA.
India: Damning Urdu – South Asia Citizens Web

Urdu is one of the twenty-two “scheduled languages” of the country. It is the language of vastly more Indians than, for instance, Bodo or Santali or Sindhi. Historically, there is no doubt that it…
Two Dimensional Orthogonal Constrained Maximum Variance Mapping for Face Recognition

Constrained maximum variance mapping (CMVM) is one promising feature extraction technique for face recognition. However, CMVM suffers from the well-known small sample size (SSS) problem, where the number of samples is less than the dimension of samples. In this paper, a novel supervised feature extraction method, called two-dimensional orthogonal constrained maximum variance mapping (2DOCMVM), is proposed. The proposed 2DOCMVM can address the SSS problem since it preserves the original image matrix and then avoids the high-dimensional image vector. In order to further improve the performance of 2DOCMVM, the optimal orthogonal projection matrix is computed using Gram–Schmidt orthogonalization. Experiments on YALE database show that 2DOCMVM outperforms than CMVM and other orthogonal methods.
Web Resources on Medical Tourism

Webometric research has fallen into two main categories, namely link analysis and search engine evaluation. Search engines are also used to collect data for link analysis. A set of measurements is proposed for evaluating web search engine performance. Some measurements are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, which is unique to web information retrieval systems. Overlapping of search results, annual growth of search results on each search engines, variation of results on search using synonyms are also used to evaluate the relative efficiency of search engines. In this study, the investigator attempts to conduct a webometric study on the topic medical tourism in Kerala using six search engines; these include three general search engines, namely Bing, Google, and Lycos, and three metasearch engines, namely Dogpile, ixquick, and WebCrawler.
Public Auditing Scheme providing Privacy for Cloud Data with Group Users

In this paper, we propose privacy-preserving mechanism which supports public auditing on shared data stored in the cloud. In this, we exploit ring signatures to compute verification metadata needed for auditing the correctness of shared data. The identity of the signer on each block in shared data is kept to be private from public verifiers, who are able to efficiently verify shared data integrity without retrieving the entire file. Instead of verifying auditing tasks one by one we can do it simultaneously. The propose system is, a privacy-preserving public auditing mechanism for shared data in the cloud. In this we utilize ring signatures to construct homomorphism authenticators, so that a public verifier is able to audit shared data integrity without retrieving the entire data, but it cannot recognize who is the signer on each block. To make improvement in the efficiency of verifying multiple auditing tasks, we extends our mechanism to support batch auditing. There are two problems we can continue to study for our future work. One is traceability, this means the ability for the group manager to reveal the identity of the signer based on verification metadata in some special situations.
MixNet: Multi-modality Mix Network for Brain Segmentation

Automated brain structure segmentation is important to many clinical quantitative analysis and diagnoses. In this work, we introduce MixNet, a 2D semantic-wise deep convolutional neural network to segment brain structure in multi-modality MRI images. The network is composed of our modified deep residual learning units. In the unit, we replace the traditional convolution layer with the dilated convolutional layer, which avoids the use of pooling layers and deconvolutional layers, reducing the number of network parameters. Final predictions are made by aggregating information from multiple scales and modalities. A pyramid pooling module is used to capture spatial information of the anatomical structures at the output end. In addition, we test three architectures (MixNetv1, MixNetv2 and MixNetv3) which fuse the modalities differently to see the effect on the results. Our network achieves the state-of-the-art performance. MixNetv2 was submitted to the MRBrainS challenge at MICCAI 2018 and won the 3rd place in the 3-label task. On the MRBrainS2018 dataset, which includes subjects with a variety of pathologies, the overall DSC (Dice Coefficient) of 84.7% (gray matter), 87.3% (white matter) and 83.4% (cerebrospinal fluid) were obtained with only 7 subjects as training data.
Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction

We tackle the problem of automatically reconstructing a complete 3D model of a scene from a single RGB image. This challenging task requires inferring the shape of both visible and occluded surfaces. Our approach utilizes viewer-centered, multi-layer representation of scene geometry adapted from recent methods for single object shape completion. To improve the accuracy of view-centered representations for complex scenes, we introduce a novel Epipolar Feature Transformer that transfers convolutional network features from an input view to other virtual camera viewpoints, and thus better covers the 3D scene geometry. Unlike existing approaches that first detect and localize objects in 3D, and then infer object shape using category-specific models, our approach is fully convolutional, end-to-end differentiable, and avoids the resolution and memory limitations of voxel representations. We demonstrate the advantages of multi-layer depth representations and epipolar feature transformers on the reconstruction of a large database of indoor scenes.
ANALISA BERAT BERSIH DAGING SERTA CIRI-CIRI SAPI NORMAL DAN GLONGONGAN MENGGUNAKAN SISTEM PAKAR DENGAN METODE CBR BERBASIS ANDROID

Meat needs, especially beef, are increasingly increasing, because human awareness of the importance of nutritional needs derived from animal meat. The high demand for beef needs has resulted in farmers and cattle traders trying to sell as many animals as possible. Farmers and cattle traders in Indonesia are still largely unprofessional. For the sake of getting a lot of profit, it was time to takeaction that harmed cattle and consumers. One such action is to sell “glonggongan” meat which is to increase the mass / weight of beef by giving excessive drinking water before the cow is cut. One way to overcome this action is to provide information to buyers through a net weight analysis system for normal beef and glonggings using an expert system with case-based reasoning. The research will be carried out starting from the collection of data from normal and glaucous cows by looking at the body  weight, gender, upper-lower cows circumference of the abdomen, side of the cow's overall body  circumference, height, leg height, head length, butt width, body length cow. In obtaining output with a 95% truth value, the base of the case stored in the database is at least 150 cases. All input variables will be analyzed and matched on a case basis using an expert system with CBR (case-based reasoning) method
Using Two-axes Three-points Policy and Bezier Curve to Build an Indoor Navigation System

two-axes three
Farmers and Archaeologists: any shared interests? Best practice from the Dutch countryside

Farming in a country like the Netherlands, which has a limited surface area, high land value and critical customers, is like walking a tightrope: a farmer is always the scapegoat when it comes to the societal consequences of the job. Archaeologists, for example, have problems with modern cultivation techniques, because they can demonstrably harm archaeological sites, yet the farming community is reluctant to accede to the archaeologists' requests, since it has many more (larger) issues to overcome. Predictive modelling as part of the development-led Dutch archaeology has not contributed to the desired mutual understanding. Yet there are signs of a growing willingness to listen to each other's needs, paralleled by developments in the environmental sector and the management of natural resources. Tentative projects to create a win-win situation for both farmers and archaeologists have been launched and even successfully carried out, but that is not enough. Archaeological heritage management requires permanent provisions, because the loss of information from the soil archive is irreversible. Attempts are being made to re-open the dialogue between farmers and archaeologists and bring about a more positive attitude on both sides. It is argued that severe actions are not effective in the Dutch polder.
Implementing Wiener Attack with Lattice Reduction

In this paper, approximation via lattice reduction is described and is adapted in implementing Wiener Attack on RSA cryptosystem with             lattice reduction. The continued fraction based arguments of Wiener Attack are implemented with the Lattice based arguments and the LLL algorithm is used for reducing a basis of a lattice.
Advanced data analysis and data mining model for Internet of Things in smart city: A Survey

Abstract— as information is a vital asset, it is important to improve information quality and increment the adequacy of the information. Presently a day’s exercises and basic leadership in an association depends on information and data acquired from information examination, which gives different administrations to developing solid and exact process. In any case, recognizing different parts of information quality from definition, measurements, types, methodologies, strategies are basic to prepare techniques and procedures for enhancing information. The genuine reason for poor information quality can be ascribed to an absence of supporting business forms and inadequate investigation procedures. Superb information can expand open door for accomplishing top administrations in an association. In the meantime information quality appraisal is a precondition for advising the clients about the conceivable employments of the information. This paper audits the work done on information quality evaluation to enhance the nature of the information and considered multi layer information digging model for Internet of Things to address the issues in information accumulation. Give answer for the open difficulties in information gathering layer by embracing proposed information quality evaluation process with input system for information quality that has great expansibility and versatility and can address the issues of IoT information quality appraisal.
Experimental Simulation on Harmonic Component Analysis of Rectangular Pulse Signal

The pulse signal is not only expressed as superposition of harmonic component, but also can be decomposed to the corresponding harmonic component. In this study, we designed an experimental simulation for make students learn knowledge of the signal process, which as a continuous cycle rectangular pulse signal, the function of relationship on harmonic component amplitude and duty cycle was discussed. Meanwhile, based on the simulation analysis and Fourier analysis, the relationship curve of duty cycle and harmonic component amplitude of rectangular pulse signal was given, and a new technique about changing harmonic amplitude or eliminating some or other harmonic component based on pulse duty cycle was proposed. The parsing circuit model of second-order active band-pass filter, by setting the center frequency of narrow-band band-pass filter circuit, decomposed the harmonic component of rectangular pulse signal under the given duty cycle with the method of simulation experiment. The results also showed that harmonic component amplitude of rectangular pulse signal could be changed in the form of sinusoidal function, by adjusting the duty cycle. When the duty cycle and amplitude of rectangular pulse signal were at the same time, its higher harmonic order component and harmonic amplitude were the same.
Analysis of the Seasonal Variation in Turbidity Index in Sudan and Fresh Water Swamp Vegetation Zones, Nigeria

This study evaluates the seasonal turbidity index of two vegetation zones in Nigerian which are Sudan and Fresh water swamp. Thirty years (1981 – 2010) meteorological data of temperature, relative humidity and solar radiation were obtained from the archives of the Nigerian Meteorological agency (NIMET). Annual and monthly analysis of the turbidity coefficients were mainly based on the Linke and Angstrom methods, due to absence of radiosonde data. The results show that the monthly mean values of the clear-sky global radiation lies between 19.34 MJ/m2day to 24.44 MJ/m2day (for Sudan vegetation) and 15.54 MJ/m2day to 20.28 MJ/m2day (Fresh water swamp). Meanwhile, the monthly percentages of clearness index above 0.6 were estimated as 75% and 33.3, and for the water vapour content exceeding 3 cm to be 58.3% and 100%, for the Sudan and Fresh swamp vegetation, respectively.  These values contribute significantly to the reduction of direct radiant energy. The results obtained for the seasonal index for Linke and Angstrom coefficients show that for the wet season, the index exceeded the dry value by 25.99% and 23.66% for Sudan and Fresh swamp vegetation, respectively. By implication, the Fresh water Swamp is laden with more aerosols than Sudan zone. Additionally, the R2 obtained for the relationship between Angstrom and Linke is 0.999 for both locations. Hence, the study provides an insight into the contribution of aerosol in the attenuation of solar radiation over the atmosphere for these locations.
The Subgraph Testing Model.

Following Newman (2010), we initiate a study of testing properties of graphs that are presented as subgraphs of a fixed (or an explicitly given) graph. The tester is given free access to a base graph G = ([n], E) and oracle access to a function f : E → l0, 1r that represents a subgraph of G. The tester is required to distinguish between subgraphs that possess a predetermined property and subgraphs that are far from possessing this property. We focus on bounded-degree base graphs and on the relation between testing graph properties in the subgraph model and testing the same properties in the bounded-degree graph model. We identify cases in which testing is significantly easier in one model than in the other as well as cases in which testing has approximately the same complexity in both models. Our proofs are based on the design and analysis of efficient testers and on the establishment of query-complexity lower bounds.
Zipf's law in music emerges by a natural choice of Zipfian units

Zipf's law states that the frequencies of word apparitions in written texts are ranked following a power law. This law is a robust statistical property observed both in translated and untranslated languages. Interestingly, this law seems to be also manifested in music records where several metrics take the place of words---the canonical choice of Zipfian units in written texts---but finding an accurate analogous of the concept of words in music is difficult because lacks a functional semantic. This yields to the question of which are the proper Zipfian units in music, and even in other contexts. In particular, in written texts, several alternatives had been proposed besides the canonical use of words, seeking to extend the range of validity of Zipf's law. In this work we perform a comparative statistical analysis of musical scores and literary texts, to seek and validate a natural election of Zipfian units in music. We found that Zipf's law emerges in music when chords and notes are chosen as Zipfian units. Our results are grounded on a consistent analysis of the statistical properties of music and texts, supporting the general validity of Zipf's law in human languages.
Enhancing perception of speech in noise using electrical brain stimulation

Accurate speech perception in noisy conditions requires a listener’s auditory system to continuously monitor the incoming sound, tease apart the acoustic features of speech from the background noise, and selectively suppress the noise features relative to speech. This results in an internal representation of speech signal that enables robust speech comprehension unaffected by the changes in the acoustic background. However, it is not clear that what the causal role of different auditory regions is in generating such noise-invariant representation, and importantly, if it is possible to generate a better speech perception by electrical stimulation of specific regions.
A Summary of Studies on Organizational Diversity

This paper focus on the theory and classification methods about organizational diversity reviews and compares the previous measurements. Then we pay attention to the effectiveness about organizational diversity. And we also discuss the existing research and make recommendation for future research, and in order to contribute to the future research.
El preguntar y su papel en la argumentación

As long as arguments-as-products are at the center of attention of argumentation theorists, the role of questions and questioning in argumentation will be largely neglected.But if our starting-point is the process of arguing as something beyond the mere presentation of arguments, then the subject becomes accessible.This paper is a first, tentative attempt at presenting, illustrating and discussing eight propositions about the role of questions and questioning in argumentation.A protagonist's standpoint is here conceived as an answer to a question, itself located within a complex web of questions; and the antagonist is conceived as someone whose main duty is to conduct a kind of careful cross-examination of the protagonist.
Study on Undergraduate Research in Chinese Higher Education Based on Content and Co-word Analysis

Undergraduate research has become an attracting topic in higher education in past few decades. To give a comprehensive picture of this field in Chinese higher education, the content analysis and co-word analysis were employed to analyze the relevant literature indexed by the Chinese Social Science Citation Index. The distribution characteristics of paper quantity, published journals, research institutions and research type were revealed. The co-word analysis was used to analyze the research topics. Combining the results of abstract and keywords, this paper explore the research themes. Given the results of analysis, this paper also suggests directions for further work.
Using a Service Blueprint and the Service Catalogue Concept to Plan a Smart Governance System: The case study of the Southern Taiwan Science Park

To improve the Southern Taiwan Science Park efficiency, the administration of the park used the smart city concept to transform it into a smart science park. Beyond the information and communication technology (ICT), the key to the development of a smart science park was to consider the requirements of the park's relevant stakeholders. Hence, this study applied the concept of persona, a service blueprint, and the service catalogue concept as the planning methodology and used smart governance as an example to demonstrate our planning process. We held focus group meetings with each persona, used a service blueprint to visualise the group's requirements, and utilised a service catalogue to present the service contents of the related smart governance systems. The study suggested that the relevant authority should implement the smart governance data centre, a public equipment management monitoring platform, and a disaster management platform to improve the efficiency and effectiveness of the public service of the park.