Reviewerly/exHarmony huggingface dataset:
Assessing the Association between Agile Maturity Model Levels and Perceived Project Success

Aim/Purpose: Given the underlying philosophy of the agile manifesto, this study investigates whether an increase in agile maturity is associated with improved perceived project success. Background: The underlying philosophy of the agile manifesto is embodied in principle one which promotes the continuous delivery of software that is deemed valuable by the customer, while principle twelve encourages continual improvement of the delivery process. This constant improvement, or maturity, is not a concept unique to agile methods and is commonly referred to as a maturity model. The most common of maturity model is the Capability Maturity Model Integrated (CMMI). However, research consensus indicates CMMI might not fully be compatible with agile implementation, specifically at higher levels of maturity without sacrificing agility. Agile maturity models (AMM), which are aligned to agile principles encourage continuous improvement while maintaining agility. Methodology: The study employs a conceptual model based on an existing agile maturity model that is related to perceived project success. Using an objectivist perspective, a quantitative method was employed to analyze the results of an online survey of agile practitioners. Contribution: The significant contribution from this research is the validation of the conceptual model relating the activities and maturity levels of the AMM as the independent variables to the dependent variable of perceived project success. Findings: The data analysis found that a significant positive correlation exists between maturity levels and perceived project success. The strongest correlation was found at the highest maturity level, with relatively weaker correlation at the lower levels of maturity. It can thus be concluded that a higher level of maturity in the AMM is positively associated with perceived project success. Recommendations for Practitioners: The study has practical implications in highlighting that performance management, requirements management, regular delivery and customer availability are key areas to focus on to establish and continually improve the success of agile implementations. This study further assists practitioners in systematically identifying the critical agile activities, such as the use of story cards, continuous delivery and the presence of a knowledgeable customer. Recommendation for Researchers: The contributions of this study for academics is the confirmation of the maturity model developed by Patel and Ramachandran (2009a). This study also shows the association between the individual activities within the maturity levels as well as the maturity levels and the perceived project success, addressing a gap in literature relating these concepts. Future Research: It would be useful to replicate this study whilst following a qualitative approach. The study could also be replicated with a sample consisting of agile project customers.
Fast Algorithm of Unified Layer Performing Convolution and Average Pooling on the GPU

Recently ? Convolutional Neural Networks (CNN) have made a major contribution in the field of recognition. CNN has multiple convolution layers and convolution operations are needed large number of floating-point operations. So ? convolution operations are bottleneck of CNN. The main contribution of this paper is to present new methods for convolution and average pooling computation on the GPU. First ? we present fused filter method. An average pooling can be considered as a kernel. A convolution kernel and an average kernel can be fused. In fused filter method ? convolution using fused filter reduces floating-point operations for convolution and pooling computation. Also ? we present direct sum method. Convolution and average pooling computation are commutative. In direct sum method ? switching convolution and average pooling computation reduces floating point operations for convolution and pooling computation. Experimental results using NVIDIA V100 show direct sum method attains a speed-up factor of up to 1.8 (single precision) and 4.4 (half precision) over cuDNN naive implementation.
IMPORTANCE OF FORENSICS OF MOBILE PHONES AS A TYPE OF DIGITAL FORENSICS IN THE PROCESS OF EVIDENCE

The fact is that mobile phones are increasingly replacing computers with features such as Internet access, emailing, access to social networks.With the advent of smartphones, the role of computers in information communication networks is reduced.Modern phones take on the role of participants in the cyberspace, both the potential victim and the object of protection, and the possible means of cyberattacks.With these facts, the field of evidence moves from tangible things into an intangible and hardto-prove field.Mobile phones become a source of data storage, which in addition to pointing to the commission of a criminal offense, performing and detecting communications and location of the phone users.With the help of them, we obtain a further complete picture of the planning and the place where the crime was committed.Since the data in the phone's memory is not completely erased with their dedicated removal, their obtaining is possible with the help of forensic tools specifically for this purpose.Digital Forensics that relates to computer forensics is necessary to complete with specialized forensic tools for smartphones.Therefore, the tendency is to apply and improve the forensics of mobile devices as a type of digital forensics and the development of forensic tools that will be specialized for these devices.
CSPS: Catchy Short Passwords Making Offline and Online Attacks Impossible

This paper proposes to address online and offline attacks to passwords without increasing users' efforts in choosing and memorising their passwords. In CSPS, a password consists of two parts, a user-chosen short password and a server-generated long password. The short password should be memorised and secured by its user while the long password be encrypted and stored on the server side. To keep the secret key for protecting the long password secure, an additional sever is introduced to store the secret key and provide encryption/decryption services. On top of balloon, CSPS integrates expensive hash with secure encryption. It is mathematically proved that computationally unbounded attackers cannot succeed in offline dictionary or brute-force attacks or a combination of offline and online attacks. The criteria of security are established, which quantifies the security. To our best knowledge, CSPS is the first technique to make security quantifiable in password authentication mechanisms.
Competency Model for Students' Innovation Training Project

The current implementation of the students' innovation training project in which the instructor seeks out the best students with selection method from the reserve students to form a highly effective team is a key issue. Based on the competency theory, a method of evaluating and selecting students is presented. Practice has proved that this method can effectively select the best students, and constitute a good students' innovation training project team.
SATISFAÇÃO DO PACIENTE ONCOLÓGICO COM ATIVIDADES DE ENFERMAGEM EMPREENDIDAS POR UM PROGRAMA DE EXTENSÃO UNIVERSITÁRIA

This study aimed at evaluating cancer patients’ satisfaction with the type of educational-assisting nursing care they received and relating it to their sociodemographic data. This is a transversal, quantitative study carried out with cancer patients assisted by the Acolhe-Onco Extension Program of the Federal University of Sao Paulo, at the outpatient care of the Sao Paulo Hospital, in Sao Paulo, Brazil. The tools employed were: sample characterization and the Patient Satisfaction Tool, comprising 25 questions, distributed into three domains using the Likert scale. The data was analyzed through the Kolmogorov-Smirnov test and the Mann-Whitney U test. The results showed patients with a high level of satisfaction in all items and domains, over the 3.3 (0-5) mean value, with the highest satisfaction mean related to the technical-professional and confidence domains. Statistically significant correlation was not found between the sociodemographic data and the patients’ satisfaction. The findings point out the benefits of the nursing actions developed for the self-management evidenced in the patients’ satisfaction evaluation.
Vector Space Models On Data Search Applications Based On Information Retrieval System

The problem of finding student data that is large enough so that it is difficult to retrieve information about students is a problem that occurred at FTI Perbanas Institute Jakarta. Information retrieval is based on queries by users, who are expected to find documents based on user needs to be known as Information Retrieval. One method that can be used for this problem is the VSM or Vector Space Model method. The purpose of this study is to implement the Vector Space Model for search engines to be able to provide text document information in the right database using certain keywords. The results of the search are represented by the order and ranking of similarities of documents with queries. The expected results are a system application that makes it easier for users to be able to collect data or documents that are owned quickly, easily and accurately. This system application will be a very useful tool for optimal data search.
GPU implementation of the fast Smith-Waterman algorithm using BPBC technique

The main purpose of this work is to propose a GPU implementation for the Smith-Waterman algorithm using Bit- wise Parallel Bulk Computation (BPBC). The Smith-Waterman algorithm is based on a dynamic Programming approach that obtains the optimal local alignment between two sequences. The idea of this work is to perform the computation of the Smith-Waterman algorithm with bit-level parallelization using the the BPBC technique. We implemented the proposed BPBC technique for the Smith-Waterman algorithm on the GPU and evaluated the performance. Experimental results show that the GPU implementation runs 8.54 times faster than the multi-core CPU implementation.
Vectorization of Kernel and Image Subsampling in FIR Image Filtering

Image subsampling is a traditional algorithm for accelerating image processing. The subsampling natively causes aliasing; thus, we use randomized sampling to moderate the issue. Also, SIMD vectorization speeds up processing by computing multiple data with a single instruction by hardware acceleration. However, randomized sampling is not suitable for SIMD vectorization. In this paper, we accelerate image filtering by subsampling filtering kernel and images by randomized algorithms. Also, the subsampling is vectorized by vector addressing. We describe how to implement subsampling of only images, the only kernel, and subsampling images and kernels. Also we compare where loop is unrolled is useful. Experimental results show that vectorization of kernel loop unrolling is faster than pixel loop unrolling. Also, kernel and image subsampling is effective for acceleration of bilateral filtering which a smoothing parameter of a range kernel is large.
IMPLEMENTASI SISTEM AKUNTANSI INSTANSI BERBASIS AKRUAL (SAIBA) PADA BALAI DIKLAT KEAGAMAAN PROVINSI ACEH

The purpose of this study provides a description of the impact and challenges in the implementation of the Accrual-Based Agency Accounting System (SAIBA). This research was conducted at the Religious Training Center in the Province of Aceh. Type of qualitative research with data collection based on interview techniques, observation and documentation studies. Data is obtained by going down directly to the research location and reviewing it with existing literature studies. This research is expected to be useful for the staff of the Aceh Province Religious Training Center in implementing accrual-based accounting to run optimally. The results show that the Implementation of Accrual-Based Agency Accounting System at the Center for Religious Training in Aceh Province has not been so effective. The problem is related to the readiness of human resources who have not fully understood accrual-based accounting. However, the implementation of accrual-based accounting has brought significant benefits. Challenges in the implementation of accrual-based accounting in terms of leadership commitment, the Aceh Province Religious Training Center supports changes in accrual-based accounting because clear and absolute regulations regarding systems, procedures, and policies are regulated in PP 71 of 2010. Accounting systems and IT facilities and infrastructure have been adequate. As a form of anticipation of the emergence of staff resistance, the strategy carried out in the form of socialization as well as training was intensified in early 2015 but there was a decline in the following year. Resistance appears on two considerations, namely the ease and benefits of implementing SAIBA. The response of the staff of the Aceh Province Religious Training Center is that it is easy to run the SAIBA application for those who have mastered and can facilitate staff performance. On the other hand, there are benefits obtained from the SAIBA application as financial reports are more transparent and accurate.
Environmental Effect of Dredging and Geochemical Fractionation of Heavy METALS in Sediments Removed from River

Geochemical fractionation of six heavy metals; Zn, Pb, Cd, Cu, Cr, and Ni in soil from two dredging sites at Chokocho and Umuechem communities in Etche Local Government Area of Rivers State, Nigeria, which is characterized by domestic, oil exploration and other industrial activities. The heavy metal concentration determined were 26.30 ± 0.38 mg/kg, Pb; 10.60 ± 0.04 mg/kg, Cd; 486.00 ± 1.20 mg/kg, Zn; 35.50 ± 0.30 mg/kg, Cr; 43.50 ± 0.40 mg/kg, Ni and 37.70 ± 0.10 mg/kg, Cu for Chokocho site. For Umuechem site, the concentration of the metals revealed were 18.40 ± 0.10 mg/kg, Pb; 6.80 ± 0.70 mg/kg, Cd; 437.00 ± 0.60 mg/kg, Zn; 29.30 ± 0.20 mg/kg, Cr; 36.40 ± 0.10 mg/kg, Ni; and 28.30 ± 0.20 mg/kg, Cu. Results from umuechem site was greater than Chokocho site. Heavy metal fractionation using conventional method was adopted for sequential extraction which was accomplished in five steps. Results revealed that Cd and Pb were dispersed more at exchangeable phase in the sample; Cu and Zn were the least bioavailable. Cd, Pb, and Cr show health risks because of high percent in the exchangeable or dissolved fraction. The results of the analysis also revealed that the bioavailablity and mobility of the heavy metals were in order; Cd > Pb > Cr > Ni > Zn > Cu.
Composite aircraft joint experimental testing with digital image correlation

The main goal was to establish results of the individual joint strength characteristics used in composite laminate structure, in order to be used for design computations in airframe structures.A carbon-epoxy composite specimen includes a brass sleeve that is used to connect other metal parts by a bolt, used on light-weight category aircrafts.11 specimens were tested and pulled by a tensile test machine.The tension mechanisms associated with failure modes of bolted joints in advanced composites is explained.The work is based on experimental test observations, performed by Instron 8516 servo-hydraulic testing machine and analyzed further by Digital Image Correlation (DIC) technique to define failure load of this metal-composite interconnection.Comparison of DIC results is made in parallel with test recorded data as verification.Conclusions include a failure analysis and observations learned during the experiment.
A “Maria da ilha” entre documentos e memória: reflexões sobre os arquivos da Deputada Estadual Antonieta de Barros (1901-1952)

: The study presents the mapping of the custodial institutions of the documentation of Antonieta de Barros and the documentary survey regarding typologies, temporal cut, quantity, state of conservation and access to these documents. It presents a brief biography of the personality researched and a brief discussion about the concept of memory in the archive. The methodology of the research is basic and qualitative. From the point of view of the objectives the research is classified as exploratory and the technical procedures are the documentary and bibliographic research. The data collection was based on a doctoral thesis in history of 2010 of the Universidade Federal de Santa Catarina, which pointed out seventeen institutions maintaining documentation on Antonieta de Barros. However, it was verified that not all of these institutions have documents of her in their collection. The main result of the research is the finding that the personal archive of Antonieta de Barros is dispersed and vulnerable, requiring archival management actions, and especially the diffusion and preservation of its documentary heritage.
The big data mining forecasting model based on combination of improved manifold learning and deep learning

In this paper, we use the combination of Local Linear Embedding (LLE) with Continuous Deep Belief Networks (CDBN) as the input of RBF, and construct a mixed-feature RBF model. However, LLE depends too much on the local domain which is not easy to be determined, so we propose a new method, Kernel Entropy Linear Embedding (KELE) which uses Kernel Entropy Component Analysis (KECA) to transfer the non-linear problem into linear problem. CDBN has the difficulty in confirming network structure and lacks supervision, so we improve the situations by using the kernel entropy information obtained from KECA, which is called KECDBN. In the empirical part, we use the foreign exchange rate time series to examine the effects of the improved methods, and results show that both the KELE and the KECDBN show better effects in reducing dimensionality and extracting features, respectively, an also improve the prediction accuracy of the mixed-feature RBF.
Shake-up threatens novel U.S. ecology facility

NEON science head quits, advisers fired after Battelle replaces two top managers.
ChessY: A Mathematica toolbox for the generation, visualization and analysis of positional chess graphs

The game of chess is undoubtedly one of the most popular two-player strategy board games in history, enjoyed by casual players and competing celebrated professionals alike, and serves as prototype research subject in a vast variety of fields. Although a plethora of parsers on a large number of different platforms is readily available for processing records of chess games provided in online databases, Mathematica remains, somewhat surprisingly, exempt. ChessY attempts to fill this gap, by providing a simple set of tools for handling Portable Game Notation (PGN) chess records and their translation into positional chess graphs, thus opening the door for a systematic analysis of chess games within the powerful confines of graph theory using Mathematica.
How a Major Incident Room Operates and the Management of Critical Incidents Ex DCI Harland N Yorks Police

Harland states that the investigation of homicide can be broken down into the search for the suspect(s) and the building of a case against them. He concentrates on the mechanics of the Major Incident Room, the MIR. This is the formal organization of a major police enquiry incorporating the ‘HOLMES’ database, which has a number of weaknesses including “timeliness” which is a handicap in the initial stages of an investigation. A second challenge is the sequencing of events. Time and place are central elements of the SIO’s initial parameters and are often the basis of eliminations from enquiries where there is no direct physical evidence as elimination criteria. The role of the SIO has become increasingly managerial, reliant on the synthesis of material by others rather than their own direct judgement of that material.
The Mesh Economy: How Blockchain and Alternative Networks can Bridge the Digital Divide and Facilitate Economic Inclusion

Mesh networking and blockchain technologies are reshaping the telecommunications industry and bringing the promise of economic empowerment to areas currently not served or underserved by traditional service providers. By combining both, it is possible to provide easy and affordable access to the Internet. Several non-blockchain Alternative Community Networks (ACNs) are now successfully deployed around the world. One such case, Guifi.net, has contributed to building the largest community network, with an annual turnover of millions of euros and the creation of dozens of direct jobs. Nevertheless, there continues to be an ongoing debate on how to make them economically sustainable and scalable. The implementation of a blockchain-enabled mesh network and other tools producing extensive data sets will allow characterization of key parameters in the deployment and operation of these infrastructures. This could economically empower those who do not have Internet connectivity, access to non-traditional financial services, and capital.
Past Achievements and Future Possiblities of Systemic-Functional Discourse/Text Analysis: In Memory of M. A. K. Halliday

A. K. Halliday passed away from us, but his linguistic influence is and will always be with linguistic academia, which is realized in the research on Systemic-Functional Discourse/Text Analysis (SFDA).This paper gives an overview of SFDA studies, and summarizes eight major contributions of SFDA, including construal of world famous discourse/text analysis (DA) theories, emergence of the "Golden Delta" of research, numerous publications, development of different analytic models, etc.And it argues that its future research orientations may include macro planning, micro deepening, theoretical exploration, practical standardization, and popularization and promotion.The conclusion is that there is a great potential for the development of SFDA.
The impact of perceived organisational support and organisational citizenship behaviour on turnover intention: an empirical investigation

This study examines the relationships between perceived organisational support (POS), organisational citizenship behaviour (OCB) and turnover intentions; and the mediating role of OCB on perceived organisational support and turnover intentions. The population under study was all experts from the National Iranian Drilling Company as an empirical case study. Finally, 140 questionnaires were analysed based on structural equation modelling using SMART PLS software. Results showed that there is a significant positive relationship between perceived organisational support and organisational citizenship behaviour. Also, there is a negative significant relationship between perceived organisational support and turnover intention. The meditating role of OCB is supported in relation to the perceived organisational support and turnover intention.