Miracle-dz/UniFAR-FTUs huggingface dataset:
REHREC: Review Effected Heterogeneous Information Network Recommendation System

Heterogeneous Information Networks have bunches of rich secret information that assist us in the creation of successful recommendation frameworks. A Heterogeneous Information Network (HIN) includes useful knowledge required for a recommendation system, and the network embedding is the common strategy for getting useful knowledge out of a HIN to be used in recommendation platforms. Although user and business nodes have been used in HINs, review contents have not been used. In this work, we use review nodes in HINs in addition to user and business nodes. Since written reviews provide valuable insights into points of interest within recommendation systems, integrating review nodes into HINs allows us to assess their impact on recommendation systems. Specifying meaningful meta-paths aids in extracting hidden information within a heterogeneous information network. While user and business nodes are typically utilized for specifying meaningful meta-paths, review nodes have been overlooked. We introduce new meta-paths incorporating review nodes to uncover hidden information in heterogeneous information networks. These meta-paths are leveraged to enhance the recommendation system’s performance. This study endeavors to amalgamate rich written reviews with heterogeneous information networks and analyze their effects on recommendation systems. Our experiments demonstrate that incorporating review texts improves the recommendation system, particularly when selecting meaningful meta-paths. Augmenting HINs with reviews facilitates the capture of additional relational information between users and businesses, thereby enhancing the recommendation model. This underscores the benefits of consolidating interaction information within HIN features for superior recommendation outcomes.
Fast Simulation of 3D Electromagnetic Problems Using Potentials

We consider solving three-dimensional electromagnetic problems in parameter regimes where the quasi-static approximation applies, the permeability is constant, the conductivity may vary significantly, and the range of frequencies is moderate. The difficulties encountered include handling solution discontinuities across interfaces and accelerating convergence of traditional iterative methods for the solution of the linear systems of algebraic equations that arise when discretizing Maxwell's equations in the frequency domain. We use a potential-current formulation (A, ? ,? ) with a Coulomb gauge. The potentials A and ? decompose the electric field E into components in the active and null spaces of the ? operator. We develop a finite volume discretization on a staggered grid that naturally employs harmonic averages for the conductivity at cell faces. After discretization, we eliminate the current and the resulting large, sparse, linear system of equations has a block structure that is diagonally dominant, allowing an efficient solution with preconditioned Krylov space methods. A particularly efficient algorithm results from the combination of BICGSTAB and an incomplete LU-decomposition. We demonstrate the efficacy of our method in several numerical experiments.
Segmentation of anatomical structures in chest CT scans

In this thesis, methods are described for the automatic segmentation of anatomical structures from chest CT scans. First, a method to segment the lungs from chest CT scans is presented. Standard lung segmentation algorithms rely on large attenuation differences between the lungs and the surrounding tissue. Those methods are fast and perform well in a large percentage of cases. However, when abnormalities are present, such algorithms often fail. The few methods that have been proposed to handle such cases are too time consuming to be applied in clinical practice. We propose a method that combines two existing methods using automatic error detection. This method is shown to perform substantially better than a standard algorithm at a relatively low increase in computational cost. After the lungs are segmented, the fissures inside the lungs are extracted. The goal of the fissure extraction is to detect both the lobar and the accessory fissures. To this end, a supervised filter based on pattern recognition techniques is designed. It is shown that the filter is able to detect fissures with a high accuracy. In a next chapter, the lungs and fissures are used to identify lobes and segments in the lungs. First, the lobes are extracted using a supervised method that employs the lobar fissures and the lungs. Since there are no physical boundaries between the segments, a method is designed that assigns to each voxel a probability that it belongs to a segment based on the position in the lobe and the position relative to the closest fissure. It is shown that the method is able to assign a set of points in each scan to the correct segment with an accuracy comparable to the inter- and intra-observer agreement. In the next chapter, a method to extract the airways from chest CT scans is presented. From an automatically determined seed point in the trachea, a tree structure is grown based on a set of rules. Along with a segmentation of the bronchial tree, a method to extract the anatomical labels for airway branches up to segmental level is presented. The method is shown to perform well in different types of CT scans. The next chapter is a methodological chapter that describes two new frameworks for multi-atlas segmentation. The frameworks improve upon standard multi-atlas segmentation by including an automatic atlas selection, a stopping criterion that determines when no more improvement is expected, and a method to determine which area of a scan would benefit from additional atlases. The method is applied to segmentation of the heart in chest CT scans and, to show the general applicability, segmentation of the caudate nucleus in brain MR scans. In the final chapter, a method to segment the lobes is presented that combines the segmentation results and methodology described in previous chapters to enhance performance. The method incorporates contextual information using automatic lung, fissure, and bronchial tree segmentations. Shape information is incorporated using a multi-atlas approach. The method is shown to perform well in data with incomplete lobar fissures.
Peripheral Nerve Regeneration: Current Status and New Strategies Using Polymeric Materials

Experiments concerning peripheral nerve regeneration have been reported since the end of the 19th century. The need to implement an effective surgical procedure in terms of functional recovery has resulted in the appearance of several approaches to solve this problem. Nerve autograft was the first approach studied and is still considered the gold standard. Since autografts require donor harvesting, other strategies involving the use of natural materials have also been studied. Nevertheless, the results were not very encouraging and attention has moved towards the use of nerve conduits made from polymers, whose properties can be easily tailored and which allow the nerve conduit to be easily processed into a variety of shapes and forms. Some of these materials are already approved by the US Food and Drug Administration (FDA), as is presented here. Furthermore, polymers with conductive properties have very recently been subject to intensive study in this field, since it is believed that such properties have a positive influence in the regeneration of the new axons. This manuscript intends to give a global view of the mechanisms involved in peripheral nerve regeneration and the main strategies used to recover motor and sensorial function of injured nerves.
Zames G. On the input-output stability of time-varying nonlinear feedback systems. Parts I and II. IEEE Trans. Automat. Contr. AC-ll:228-38; 465-76, 1966

This paper summarizes a feedback stability theory developed by the author during 1959-64. It introduces the concept of an extended space, and establishes three equivalent principles for input-output stability (or incremental stability): the 'small-gain,' 'positive-operator,' and 'conic-sector' theorems. Applications include the circle criterion, and a new proof of Popov's criterion. [The SCI indicates that Part I of this paper has been cited over 145 times and Part II over 115 times since 1966. ]
Ulv-Based Signal Subspace Methods For Speech Enhancement

In this paper the signal subspace approach for nonparametric speech enhancement is considered. Traditionally, the SVD (or the eigendecomposition) is used in frame-based methods to decompose the vector space of the noisy signal into a signaland noise subspace [l, 2, 51. Linear estimation of the clean signal from the information in the signal subspace is then performed using a set of nonparametric estimation criteria. In this paper, the rank-revealing ULV decomposition is used instead of the SVD, and we use recursive updating of the estimate instead of working in frames. An ULV formulation of three different estimation strategies is considered: Least Squares, Minimum Variance and Time Domain Constrained. Experiments indicate that the ULV-based algorithm is able to achieve the same quality of the reconstructed speech signal as the SVD-based method. 1 SIGNAL AND NOISE MODEL Let x = (z~,Q;. , z~)~ denote the noisy signal vector of m samples and assume that, the noise component, n is additive a.nd uncorrelatcd with t,he speech signal s, i.e., x = s + n. A set of time shifted vectors can be organized in a data matrix X = S + N E lRIrLXTL wit,h Toep1it.z structure where m > n. We assume that the noise is broad-banded so rank(X) = rank(N) = n, and that the speech signal can be described by a low order model, giving a rank deficient matrix S with rank(S) = p < n. This formulation includes, for example, the damped complex sinusoid model! which has often been attributed to speech signals. 2 ULV BASED SIGNAL ESTIMATION One approa.ch for nonparametric speech enhancement, is linear estimation of the clean signal from the noisy signal using signal subspace methods, which are based on the rank-revealing ULV decomposition (RRULVD) introduced by Stewart [8]. 4ssume that the singular values of X sa.tisfy Ul 2 . >up>r>>up+] >. ‘. >U. ,, (1) then there exists a matrix UX E lR.nZx” with orthogonal columns and a.n orthogonal matrix VX E IR. “Xn such that x = UXLXV~ (2) = ( UXl ux2 ) ( “F”: Gox) (3:) where Lx1 E IRYxp, Gx E IR. (n-P)X(7Lp) and LX E IR nxn are lower triangular, and hninWX1) = up (3) P’xll~ + IlGx II; = u;+1 +. + CT; (4 Thus, the signaland noise subspaces defined by the gap in the singular values can be estimated using the R.RULVD, where the quality depznds on IIFxlln. An approximate LS estimate SALK of the signal matrix S can be computed by essentially substituting the RRULVD for the SVD based estimate [3], thus replacing one problem with a similar, nearby problem that can be solved more efficiently, i.e.,
Tree diversity, forest structure and species composition in a logged-over mixed dipterocarp forest, Bintulu, Sarawak, Malaysia

The Anap Muput Forest Management Unit (AMFMU) located in Bintulu, Sarawak, Malaysia is a production forest. It have undergone at least one or two cycle of selective logging where valuable timber species are depleting. Therefore the structure, composition and productivity of the re growth forests are quite different from the virgin stands. Measuring the diversity is one of the ways to access the soundness of ecological ecosystems. This study aim to collect information on tree diversity, forest structure and species composition. A total of 61 circular plots of 25-m radius were established covering a total area of 7.67 hectares. Trees with diameter at breast height (DBH) of 10 cm and above were recorded. Species composition, diversity, relative density (RD), relative basal area (RBA) and relative frequency (RF) and important value index (IVI) were calculated. A total of 5,871 trees comprised of 66 families, 208 genera and 827 species were recorded. Dipterocarpaceae was the most dominant family with 31.8% of trees. Shorea was the dominant genus, while Macaranga hosei of Euphorbiaceae with 193 trees is the most dominant species here. Shorea collaris was the highest record for Dipterocarpaceae with 176 stands. The highest IVI of trees in lowland dipterocarp forest was Shorea macroptera ssp. baillonii with the value of 84.73 though it only represented 1.8% of the total IVI of the area. At ShannonWeiner diversity index (H’) of 3.44, the diversity of logged-over lowland dipterocarp forest in the study area is considered highly diverse. The results of this study strengthen the importance to manage the forest sustainably as timber industry is important for the state’s economy.
Sleep Quality and Performance in Professional Athletes Fasting during the Month of Ramadan

Background: Maintaining physical performance during Ramadan Diurnal Fasting (RDF) is a challenge for professional athletes. The literature shows that sleep disturbances experienced by athletes during RDF are associated with reduced physical performance. The effect of sleep quality on physical performance, and the effect of work status on physical performance during RDF among athletes, besides engaging in trainings, have been little investigated. This study aims to evaluate the effect of RDF on the physical performance of professional athletes taking into consideration their sleep quality and work status. Methods: Professional medium-distance male runners (n = 32) participated in our study in the summer of 2019. Data about socio-demographics, training characteristics, sleep quality (Pittsburg Sleep Quality Index: PSQI), physical performance (Cooper Test; Harvard step test) were collected before and during Ramadan. Student’s-test and Welch and Wilcoxon tests were used for data analysis. Results: Both quality of sleep and physical performance of athletes deteriorated during Ramadan. People with better quality of sleep had better physical fitness/performance both before and during RDF. Athletes who worked beside trainings achieved worse physical fitness test results and had worse quality of sleep. Conclusions: Policies aimed to improve physical performance in RDF should consider the quality of sleep and the work status of athletes.
Strategy Evaluation of the Happy Workplace Promotion Project in an Industry

กลยทุธข์องโครงการสง่เสริมสขุภาวะในองคก์รนÓไปสู ก่ารบรรลุความสÓเร็จของโครงการ กลยุทธ์จึงเป็นหน่วยวิเคราะห์ทางการประเมิน การประเมินกลยุทธ์มุ่งเน้นให้ความสÓคัญของ การนÓโครงการไปสู่การปฏิบัติและผลลัพธ์ของโครงการ การวิจัยนี้มีวัตถุประสงค์เพื่อประเมิน กลยุทธ์ของโครงการส่งเสริมสุขภาวะในองค์กรอุตสาหกรรมโดยใช้วิธีการประเมินเชิงคุณภาพ และเชงิปรมิาณ แนวคิดการประเมินที่ใชค้ือการประเมินโดยใชท้ฤษฎีเป็นฐานและการประเมิน กลยุทธ์ การเก็บรวบรวมข้อมูลเชิงลึกจากโรงงานอุตสาหกรรมจÓนวน 12 แห่ง ประกอบด้วย นักขับเคลื่อนองค์กรสุขภาวะ จÓนวน 137 คน และพนักงานในโรงงานอุตสาหกรรมที่เข้าร่วม โครงการส่งเสริมสุขภาวะในองค์กร จÓนวน 2,309 คน ผลการวิจัยพบว่า ผลการประเมิน กิจกรรมในภาพรวมของทั้ง 7 โมดูลของโมเดลการส่งเสริมสุขภาวะอยู่ในระดับเหมาะสมและ โมเดลการส่งเสริมสุขภาวะสามารถเปลี่ยนแปลงพฤติกรรมของนักขับเคลื่อนองค์กรสุขภาวะ บทคัดย่อ
Determining Customer Perceptions using Text Mining for an FMCG Product “Maggi” In India

Purpose: With the popularity of social media, blogging, documents in the web, multiple text information is being generated every moment. Companies can gauge consumers’ sentiments by conducting analysis of tweets or Facebook posts and can take timely action to tweak promotional campaigns. In the beginning of 2015, Maggi noodles was banned by the then government. To track the sentiments of the people on the coming back of Maggi, the widely accepted micro blogging site, Twitter, is used. Twitter continuously generates different points of view on any given subject, relating to social issues, marketing issues etc. The challenge lies in understanding and analyzing these unstructured texts, figuring out the relevant information and transforming it into actionable cognizance. Methods: The paper extracts set of 500 Twitter posts containing “Maggi”. 500 tweets were extracted to avoid heavy computation. The data was extracted by creating an interface between a twitter account and the statistical software R where we used the graphical user interface RStudio. This paper analyses tweets on this popular packed food item “MAGGI” by using statistical software like R and Excel. The methodology performed sentiment analysis using text mining approach following steps of Data Extraction, Text Transformation, Analyze the data, Data representation and validation. Results: The paper conducts sentiment analysis on social media and examines consumer perception of “Maggi”. There are few negative tweets like “Tired of #Maggi”, “Hesitant to take the first bite of #Maggi #marketingmoves” but most of the tweets were in the favor of Maggi. Tweets like, “This new #Maggi ad will surely make you go nostalgic! ”, “3am with beloved curry maggi + boiled chicken”, “When you wanna eat healthy but you low on cash. #Yasssss #Maggi #Broccoli #Sausages #Protein” show strong positive sentiment. From the sentiment analysis conducted on Maggi noodles, there were more positive rather than negative responses towards Maggi’s reentry into the Indian market. Thus, the concept of sentiment analysis can give marketers quick, preliminary insights into the consumers psyche which can later be followed up by traditional market research techniques.
Antagonistic effect of Anabaena fertilissima CCC597 on pathogenic Vibrio cholerae propagating in association with cyanobacterial community in freshwater bodies of Eastern Madhya Pradesh

Various biodiversity indices revealed that Microcystis aeruginosa is a major bloom forming colonial cyanobacterium dominantly present in the examined two districts of Eastern Madhya Pradesh. Microcystis viridis, Microcystis panniformis and Microcystis botrys along with filamentous cyanobacteria Anabaena spp. , Arthrospira major and Oscillatoria limosa/O. laetevirens were the other species present. Amplification of VCO1 and VCO139 choleragenic Vibrio cholerae strains in phytoplankton material revealed their association with cyanobacteria. VCO1 gene was amplified in five water bodies, and among them, one reservoir also displayed amplification of VCO139 gene. VCO1 and VCO139 genes were not amplified in three water bodies. All of them were infested with Anabaena spp. as the second largest phytoplankton constituent. It was hypothesized that Anabaena spp. produced some antibacterial metabolites with antagonistic property against V. cholerae. To prove this, colonies of V. cholerae on TCBS agar were isolated from those water bodies which displayed VCO1 and VCO139 gene amplification. Methyl Red test, Voges-Prauskaur test and arginine dehydrolase tests confirmed Vibrio. Further identification of V. cholerae was carried out by amplification of VCO1 and VCO139 genes in genomic DNA isolated from V. cholerae colonies. A hexane extractable metabolite extracted from lab culture of Anabaena fertilissima CCC597, a native of these lakes, was tested for its antagonizing effect on growth of V. cholerae strains O1 and O139. A “closed water system” was used to examine the effect of A. fertilissima cell mass on time-dependent population size of Vibrio. Upon such incubation, there was a steady decrease in the viable colony counts of V. cholerae.
A framework for classification of Self-Organising network conflicts and coordination algorithms

The next generation Long Term Evolution (LTE) & LTE-Advanced cellular networks will be equipped with numerous Self-Organizing (SO) functions. These SO functions are being envisioned to be inevitable for technical as well as commercial viability of LTE/LTE-Advanced networks. Therefore, a lot of research effort is currently being channeled to the design of various SO functions. However, given the convoluted and complex interrelationships among cellular system design and operational parameters, a large number of these SO functions are highly susceptible to parametric or logical inter-dependencies. These inter-dependencies can induce various types of conflicts among them, thereby undermining the smooth and optimal network operation. Therefore, an implicit or explicit self-coordination framework is essential, not only to avoid potential objective or parametric conflicts among SO functions, but also to ensure the stable operation of wireless networks. In this paper we present such a self-coordination framework. Our framework builds on the comprehensive identification and classification of potential conflicts that are possible among the major SO functions envisioned by Third Generation Partnership Project (3GPP) so far. This classification is achieved by analyzing network topology mutation, temporal and spatial scopes, parametric dependencies, and logical relations that can affect the operation of SO functions in reality. We also outline a solution approach for a conflict-free implementation of multiple SO functions in LTE/LTE-Advanced networks. Moreover, as an example, we highlight future research challenges for optimum design of Mobility Load Balancing (MLB) and Mobility Robustness Optimisation (MRO).
Avoiding the classic catastrophic computer science failure mode: 2010 acm sigsoft outstanding research award talk

Many computer science research efforts fail. Some of this is inevitable, since research is risky. But sometimes the agenda of a group of researchers fails because there is a part of the problem that everyone agrees is crucial, but that nobody works on. Often this is because there are not enough rewards for working on it; it is hard to publish and/or there is no funding. This is more common than you might think; I call it the classic catastrophic computer science failure mode. Design Patterns could have fallen into this trap. Our hypothesis was "A standard description of design techniques will enable new designers to become expert faster and will improve the design process for experts. " I don't believe we have proven this hypothesis yet, though there is a lot of anecdotal evidence for it. A key step in proving it is developing the standard description of design techniques, and "Design Patterns" is part of that. There were lots of reasons not to write the book. Who were we to try to standardize design? How did we know we had the right patterns? These are unanswerable questions, so we focused on writing the catalog and let other people decide whether it was worthwhile. Other people publicized it for us. Without those people, it would not have made much of an impact. Other projects have not been so fortunate. I've seen several projects fail because they needed something like a catalog, but nobody worked on developing it. This talk will describe warning signs of the classic catastrophic computer science failure mode and how to avoid it.
The Tradespace Exploration Paradigm

Over the past five years, researchers working on a number of system design projects in the Space Systems, Policy, and Architecture Research Consortium (SSPARC) at the Massachusetts Institute of Technology (MIT) have developed a process of value-focused, broad tradespace exploration for the development of space systems. The broad tradespace framework has provided insights into communicating and quantifying the impact of changing requirements, uncertainty, and system properties such as flexibility and robustness. Additionally, insights have been made in applications to more complex cases, such as analyzing policy effects on system cost and performance, as well as understanding the time-dependent effects of architecture and design choices for spiral development. The tradespace exploration paradigm both broadens the perspective of designers in conceptual design to better understand the "physics" of the proposed solutions relative to one another, and focuses the designer on delivering systems of value to key system stakeholders.