Miracle-dz/UniFAR-FTUs huggingface dataset:
An Alternative Approach to E-Teaching

--Documents prepared for e-learning projects are usually enjoyable only through CD-ROMs or the web. However several people prefer books or classroom-based learning. This paper presents NetLibrary , a project that developed a new approach in creating e-learning topics. Material is managed automatically (through the use of a custom tool, WebLibrary ) in order to support several media such as Web, CD-ROM, books, and it includes slides that can be used by instructors in classroom. However the real advantage is the cheap, fast and simple content creation, which makes this approach suitable for fast changing topics.
Regional differences or similarities in human tooth biofilm microbiota: a pilot study

Background: More than 700 oral bacterial species have been found and together they make out the oral microbiota. Specific species have shown to correlate with various oral diseases such as caries and periodontitis, but also systemic diseases. Most studies have looked at the whole microbiota but the knowledge about tooth site-specific variation within supragingival plaque after lack of oral hygiene in healthy participants is limited. Aim: This pilot study aimed to characterize variations in the supragingival plaque with regards to the; anterior (incisors and canines) and posterior (molars and premolars) teeth, upper and lower jaw, and left versus right tooth arches. Method: After three days of accumulating plaque, supragingival tooth biofilm was collected from 16 different tooth sites, from six healthy participants. Bacterial DNA was extracted, and 16s rRNA gene (V3-V4) was amplified by PCR and sequenced on an Illumina MiSeq platform. Sequences were blasted and taxonomically allocated using the Human Oral Microbiome Database. Result: In summary, 50 species showed a difference between the anterior and the posterior region, 30 species differed between the upper and lower jaw, and three species differed between the left and right sides. Conclusion: This study indicates a difference in oral microbiota composition in supragingival plaque on different tooth regions. These findings emphasize the choice of method when analyzing the oral microbiota — also highlighting the importance of further understanding the dynamic forces driving local enrichment and reduction of specific species.
Online Display Advertising: Targeting and Intrusiveness

We use data from a large-scale field experiment to explore what influences the effectiveness of online advertising. We find that matching an ad to website content and increasing an ad’s obtrusiveness independently increase purchase intent. However, in combination these two strategies are ineffective. Ads that match both website content and are obtrusive do worse at increasing purchase intent than ads that do only one or the other. This failure appears to be related to privacy concerns: The negative effect of combining targeting with obtrusiveness is strongest for people who refuse to give their income, and for categories where privacy matters most. Our results suggest a possible explanation for the growing bifurcation in internet advertising between highly targeted plain text ads and more visually striking but less targeted ads.
Data in Brief

Stakeholders of software development projects have various information needs for making rational decisions during their daily work. Satisfying these needs requires substantial knowledge of where and how the relevant information is stored and consumes valuable time that is often not available. Easing the need for this knowledge is an ideal text-to-SQL benchmark problem, a ﬁeld where public datasets are scarce and needed. We propose the SEOSS-Queries dataset consisting of natural language utterances and accompanying SQL queries extracted from previous studies, software projects, issue tracking tools
Data in Brief

This document describes a set of customer feedback data concerning the Post Bank. We collected data from 16,659 feedback lines using the Beautiful Soup package from the authoritative site banki.ru is selected as the source of data for collection. The dataset is compiled to monitor the level of trust of bank customers in its banking service. The data presents text reviews for 2013 - 2019 and includes, with or without ratings. Scientists can predict feedback ratings with an empty value in the future. We added additional columns to the dataset with oﬃcial comments of bank employees, as well as values for the fog-index by Gunning parameter, which is used for the readability of the text. The data can be useful for customer service managers to identify problems in customer service and solve these problems, to assess the dynamics of the appearance of positive and negative reviews of bank customers. © 2020 The Authors. Published by
Introducing ELSA v2.0: an isochronal model for ice-sheet layer tracing

We provide a detailed description of the ice-sheet layer age tracer ELSA — a model that uses a straightforward method to simulate the englacial stratiﬁcation of large ice sheets — as an alternative to Eulerian or Lagrangian tracer schemes. ELSA’s vertical axis is time and individual layers of accumulation are modeled explicitly and are isochronal. ELSA is not a stand-alone ice-sheet model, but requires uni-directional coupling to another model providing ice physics and dynamics (the “host model”). Via ELSA’s layer tracing, the host model’s output can be evaluated throughout the interior using ice core or 5 radiostratigraphy data. We describe the stability and resolution-dependence of this coupled modeling system using simulations of the last glacial cycle of the Greenland ice sheet using one speciﬁc host model. Key questions concern ELSA’s design to maximize usability, which includes making it computationally efﬁcient enough for ensemble runs, as well as exploring the requirements for ofﬂine forcing of ELSA with output from a range of existing ice-sheet models. ELSA is an open source and collaborative project, and this work provides the foundation for a well-documented, ﬂexible, and easily adaptable model code 10 to effectively force ELSA with (any) existing full ice-sheet model via a clear interface.
Review of Digital Platforms and Their Impact on Farmer-Centric and Transparent Practices

:- This study explores the transformative impact of cutting-edge digital platforms on the dynamics of agricultural trade, emphasizing four key initiatives. The "Virtual Fruits Market" serves as a catalyst for direct farmer-consumer engagement, guaranteeing equitable pricing and establishing connections between farmers and industry specialists. In parallel, the online marketplace optimizes supply chains, empowering manufacturers to directly distribute agrochemicals. A farmer-centric mobile application facilitates direct produce sales, providing market insights in the farmers' native language. Another initiative introduces an online marketplace for direct transactions, ensuring fair pricing through quality evaluations by agriculture specialists. Lastly, an online auction system eliminates intermediaries, enabling consumers to competitively bid for farm produce. These endeavors collectively signify a paradigm shift toward transparent, farmer-centric, and digitally-driven advancements in the agricultural trade landscape.
E(cid:14)cient Probabilistically Checkable Proofs and Applications to Approximation

We construct multi-prover proof systems for NP which use only a constant number of provers to simultaneously achieve low error, low randomness and low answer size. As a consequence, we obtain asymptotic improvements to approximation hardness results for a wide range of optimization problems including minimum set cover, dominating set, maximum clique, chromatic number, and quartic programming;and constant factor improvements on the hardness results for MAXSNP problems and quadratic programming. In particular, we show that approximating minimum set cover within any constant is NP-complete; approximating minimum set cover within clogn, for c < 1=8, implies NP (cid:18) DTIME(n loglogn ); approximating the maximum of a quartic program within any constant is NP-hard; approximating maximum clique or chromatic number within n 1=29 implies NP (cid:18) BPP; approximating MAX-3SAT within 113=112 is NP-complete; and 1=143-approximating the max of a quadratic program is NP-hard.
Spatial and temporal variations of nutrients composition and structure in the main estuaries of Jiaozhou Bay

Spatiotemporal distribution of nutrients were investigated in the main estuaries of Jiaozhou Bay in January, April, June, August, October and December, 2016, and the relationships between nutrients and temperature, salinity, pH and DO were analyzed as well. Results showed that, the main estuaries of Jiaozhou Bay total dissolved nitrogen (TN) showed a time trend of decreasing after the first increasing, small changes of TN content in each estuarine water body, organic nitrogen (DON) was the main component of TN, its relative content was about 58.6-98.5%. NH4+-N was the main component of inorganic nitrogen (DIN) in most estuaries, followed by NO3− - N, NO22− - N lowest relative content. The content of total dissolved phosphorus (TP) was low (averaged 0.15 mg/L), mainly showed a higher spring and summer, autumn and winter low time trends, the change of TP content in the water body of the estuary was also small, the relative content of inorganic phosphorus (DIP) in most estuaries was more than organic phosphorus (DOP). Temperature, salinity, pH and DO with different forms of nutrient analysis showed that there are strong primary productivity and microbial regeneration activities in the study area, environmental factors affected the microbial production activities in estuarine water affecting the spatial and temporal changes in nutrient composition and structure.
Exploration of Organizational Culture and Communication in A Secondary Sector Company for Competitive Efficiency

The research addresses the challenges of operations management of a pharmaceutical laboratory in Latin America, where organizational culture and internal communication are fundamental. The importance of continuous improvement and adaptability in a dynamic business environment is recognized. The study seeks to evaluate the level of maturity of the organizational culture to overcome communication barriers, identify areas for improvement and understand its impact on the development of strategies. It is expected that this evaluation will allow the creation of a more cohesive organizational environment aligned with corporate objectives, strengthening operational efficiency and competitiveness in the market.
Understanding and Visualizing Graph Neural Networks

Graph neural networks (GNNs) have achieved unparalleled results on tasks related to graph-structured data. Despite their massive practical success, understanding the mechanism and limitation of GNNs is still a crucial task. In this paper1, we attempt to gain a better understanding of GNNs from three different angles. On account of the over-smoothing issue GNNs face, we propose to train GNNs with an additional loss function to find the fixed points of node embeddings and thus learn more robust representations. Our proposed method achieves competitive results as other baseline methods. Besides, preserving feature identity is arguably a desirable property for many neural network architectures. To investigate whether nodes retain their identity across GNN layers, we borrow the concept "identifiability" from [1] and adapt it to GNNs. Our experiment result reveals that certain nodes retain their identity across the model, however, identifiability does not impact the performance of GNNs. Finally, we take a step back and measure the demands of using GNNs by introducing a new concept Graph Neural Network Necessity and then assess several most frequently used node classification datasets according to it. The code is available at https://github.com/wwwfan628/gnn_visualization
Comparison of Practical Feedback Algorithms for Multiuser MIMO

We consider the problem of obtaining channel state information (CSI) via a fast feedback link for transmission on the downlink of a multiuser MIMO system. We examine the relative merits of channel feedback schemes based on Shannon's source-channel separation principle (digital schemes) and non-separation based schemes and show that the latter are preferable in this application when small to moderate bandwidth expansion ratios are used as in many current cellular systems. For comparison, we first compute upper-bounds on the performance of the system as a function of SNR. For the non-separation based schemes, we first consider a simple analog transmission and then develop a hybrid digital-analog transmission scheme which quantizes the CSI using a few bits and sends these bits and also the quantization error using analog transmission. We show that the hybrid scheme achieves a higher throughput compared to both analog and digital transmissions and has a much lower computational complexity compared to a digital scheme.
MMM-TJU at TRECVID 2010

Surveillance Event Detection Semantic event detection in the huge amount of surveillance video in both retrospective and real-time styles is essential to a variety of higher-level applications in the public security. In TRECVID 2010, to overcome the limitations of the traditional human action analysis method with human detection/tracking and domain knowledge, we evaluate the general framework for multiple human behaviors modeling with the philosophy of bag of spatiotemporal feature (BoSTF). The brief
Rethinking the Analysis of Ethnic Residential Patterns

Data from the 1996 New Zealand Census on ethnicity in Auckland Urban Area are used to illustrate a new approach to measuring spatial separation. The traditionally employed single-number indice. $ are found wanting and a method based on thresholds is introduced. This provides more detailed information on the geography of ethnic groups that is consistent with the requirements for testing hypotheses regarding the relationship between social and spatial distance. The results show that (with a few exceptions) Polynesian groups were mure encapsulated groups in Auckland than were Asian and European groups, and that most of the European groups--along with the “host society,” the New Zealand Europeans-were not spatially exposed to members of the Polynesian and Asian groups. After decades of debate on the nature of residential segregation and how to measure it, research has tended to lapse into a degree of theoretical, methodological, and even terminological uncertainty, associated with the promotion of a variety of different definitions and measures (Massey and Denton 1988, p. 282). Consistency and comparability certainly, and potentially the validity of the research area itself, all suffer as a result. None of this is satisfactory at a time of burgeoning interest in the social dynamics of plural, ethnically heterogeneous cities (Grill0 2000) or EthniCities (Roseman, Laux, and Thieme 1996). In particular, established relationships between ethnic residential patterns and social distance from the host society, through the operation of the housing market, bear on issues of social discrimination and exclusion, and of economic disadvantage, as well as positive reasons for ethnic group segregation associated with retention of cultural identity. Hence the continuing need, not only to continue the debate about theories of the nature and dynamics of ethnic group concentration in urban areas, but also to develop methodologies that can accurately map and describe the social geographies of ethnic groups in light of developing theory. This paper examines several major aspects of the methodological debate, looking especially at the indexes of segregation and isolation and at a new, threshold
Future Generation Computer Systems

Serverless computing offers a promising deployment model for edge IoT applications. However, server-less functions that rely on large libraries suffer from severe library loading latency when containerized, which is unfriendly to edge latency-sensitive applications. Most function offload strategies in edge environments ignore the impact of this latency. We also found that the measures taken by serverless platforms to reduce loading latency may not work in edge environments. To remedy that, this paper proposes a function offloading strategy to minimize loading latency, a new way to deeply integrate placement optimization with cache optimization. In this way, we first design a package caching policy suitable for edge environments based on the consistency of execution topology. Then a Double Layers Dynamic Programming algorithm ( DLDP ) is proposed to solve the problem of function offloading considering the dependent packages using a multi-stage progressive optimization approach. The caching policy is embedded in the scheduling algorithm through a phased optimization approach to achieve joint optimization. Extensive experiments on the cluster trace from Alibaba show that DLDP reduces the loading latency of packages by more than 97.84% and significantly outperforms four baselines in the application completion time by more than 55.67%. ©
The Influence of Therapeutic Massage on Muscle Recovery, Physiological, Psychological and Performance in Sport: A Systematic Review

This study aims to identify the effects of therapeutic massage on muscle recovery, physiological, psychological and performance in sport. Articles were identified from several databases by searching MEDLINE, Embase, CINAHL, PEDro, Web of Science, Scopus, Google Scholar, and PubMed starting from 2010 to 2023, related through databases according to predefined inclusion criteria that were identified previously. In the review, 31 studies were considered to be eligible for inclusion by recruiting male (n=558) participants, aged between 12 and 60 years, and females (n=226) participants, aged between 12 and 60 years. Compared with the active control, twelve studies found massage to have a significant and measurable benefit, whereas five studies found no obvious advantage. Comparing massage with an inactive control, four studies reported massage to have a significant and considerable effect, whereas three studies did not. For massage compared with other therapies, three studies reported massage to have a measurable and considerable effect, whereas two studies did not. Massage as a stand-alone treatment provided a considerable and substantial benefit in two studies, whereas one study found no significant impact on muscle healing, performance, physiological, and psychological. In conclusion, the current study revealed that massage had a large and substantial advantage when compared with an inactive and active control, but not when compared with other interventions, as examined in this review. There was a shred of conflicting evidence to prove the superior outcomes of massage when administered as a stand-alone treatment and relative to other forms of therapies. However, the efficiency of massage is rarely assessed.
Analysis the Impact of Filters in Spatial Domain on Grayscale Image

Computer graphics is the branch of computer science which deals with the study of graphics and images. Advancement in the technology brings the development in the image processing techniques, which deals with the image acquisition, image enhancement, restoration etc. Different type of noise got added up to the image while image acquisition leading to the final corrupted image. The main objective of this paper is to remove noise from the gray scale images to better understand the contents of the original image by applying various filter algorithms to get the blurred free and noise free image. For this an algorithm is developed and presented in shape of flowchart. This paper compares the different filters used for the noise removal from an image. It studies various filters for noise removal and finds the opinion that which is best for every type of image. As every image processing algorithms works differently for different image, there are different methods to deal with different types of noise.
Usage of rice milk in probiotic yoghurt production

Article history: Received: 16 July 2016 Accepted in revised form: 26 November 2016 ABSTRACT There are previous studies focusing on the production of probiotic and fermented dairy products made using vegetable based raw materials like oats and soy, however there is a limited number of studies on the usage of rice milk in fermented dairy products. Four different types of yoghurt samples were produced and stored for 21 days at 4°C. Physical, chemical, microbiological and sensory characteristics of the samples were performed at the 1, 7, 14 and 21 days of the storage. It was determined that rice milk increased the viscosity values but decreased the values of the texture, whey separation and the chemical and microbiological properties of yoghurts. Acetaldehyde, acetoin, acetone and diacetyl of carbonyl compounds were detected as main flavor components of yoghurt samples. In the sensory analysis, scores decreased as the rice milk proportions in yoghurt was increased and the panelists reported that P1 sample (25% rice milk + 75% cow’s milk) was the closest sample to the control sample (100% cow’s milk). Generally speaking, samples containing rice milk did not give good results. However, P1 samples were the most favored products among the samples containing rice milk as they were the closest product to the control group. The consumption of such products is continuously increasing as the customers' tendency to consider them as functional products rather than traditional food products increase.
Rule Mining with RuM

Process Mining is a data science practice in Business Process Management (BPM). It is based on the analysis of process execution logs. Nowadays, ProM and Disco are two mainstream desktop applications for process mining. Disco can be used for procedural process discovery with intuitive user experience. However, it does not support declarative models. ProM gives support for a wealth of techniques for declarative process mining. However, its user interface is not so intuitive as the one of Disco. In the light of this, this Master’s Thesis is focused on proposing RuM, an application for declarative process analysis with an intuitive user experience. The application presents an environment for a set of process discovery, conformance checking and log generation methods based on declarative models. The methods can be configured with various options and the results can be post-processed to simplify and store them in the file system. The tool has been evaluated through a usability test involving 5 experts on declarative process analysis.
V.Ra: An In-Situ Visual Authoring System for Robot-IoT Task Planning with Augmented Reality

We present V.Ra, a visual and spatial programming system for robot-IoT task authoring. In V.Ra, programmable mobile robots serve as binding agents to link the stationary IoTs and perform collaborative tasks. We establish an ecosystem that coherently connects the three key elements of robot task planning , the human, robot and IoT, with one single mobile AR device. Users can perform task authoring with the Augmented Reality (AR) handheld interface, then placing the AR device onto the mobile robot directly transfers the task plan in a what-you-do-is-what-robot-does (WYDWRD) manner. The mobile device mediates the interactions between the user, robot, and the IoT oriented tasks, and guides the path planning execution with the embedded simultaneous localization and mapping (SLAM) capability. We demonstrate that V.Ra enables instant, robust and intuitive room-scale navigatory and interactive task authoring through various use cases and preliminary studies.