Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Exploratory Testing in Industrial Practice

Exploratory testing (ET) is an agile approach towards software testing. It is simultaneous learning, testing, reporting of problems and then generating new tests based on the learning. The aim of this thesis is to investigate exploratory testing in the industry. This thesis was proposed by Sogeti AB in Lund. Therefore the research questions were formulated and finalized according to their requirements and consent. Initially, a literature survey was conducted to study the different concepts of ET. After that a descriptive case study was conducted to investigate ET practices in an industrial environment. The research methodology used is qualitative. It comprises of ten semistructured interviews with industrial practitioners including both ET testers and customers having different perspectives. The study explores the misconceptions about ET and also identifies its claimed pros and cons. The investigation also studies its suitability with different types of testing and its effective combination with other techniques. In addition to the interviews, a survey was conducted to further investigate and analyze our findings with a larger sample of 25 practitioners. A framework for a session-based exploratory testing as practiced by the industrial partner is presented as part of our results. ET has different opinions and it is hard to say whether they are misconceptions or not. The most prominent advantage of ET from the testers view point is utilization of tester’s creativity and experience however, customers think the biggest benefit of ET approach is its ability to provide focused testing. The major disadvantage according to the testers resulted to be, difficulty in finding testers with appropriate experience, skill set and knowledge. On the other hand Inability to produce decision material was the biggest concern of the customers. The results also showed that ET approach was preferred to be used in combination with other testing techniques. Combination of Risk Based Testing and ET was reported to be used the most. ET was considered very suitable for situations where the testing requirements included learning of the system, time constraints and complementary testing. It was considered unsuitable for testing critical systems.
NeuROMOtOR tRAiNiNg ON gAit PAtteRN ANd MOBiLity Of ANkLes iN OLdeR PeOPLe Treinamento neuromotor no padrão de marcha e na mobilidade de tornozelos em idosos Entrenamiento neuromotor del patrón de marcha y movilidad de tobillos de mayores

Objective: To analyze the effect of neuromotor training on gait pattern and mobility of ankles in older people. Methods: A cross-sectional non-randomized controlled study conducted in Rio Negrinho, Santa Catarina, from May to September 2015 with a sample of 26 older women divided into control group (CG=15) and neuromotor training group (NETG=11). The gait pattern was assessed through the Cerny Protocol and the mobility of ankles through goniometry. The CG performed regular physical activity including warm-up, stretching and strengthening of major muscle groups and cool-down. The NETG performed a neuromotor training as a 10-station circuit including warm-up, neuromotor training, cool-down and repetition of the circuit three times, remaining one minute at each station and keeping a 30-second interval between the stations. The exercise difficulty level increased after the sixth week. Both groups performed the activity for 12 weeks (twice a week for 45 minutes). The analysis was performed using the t-test with a significance level of p<0.05. Results: A significant improvement was observed in dorsiflexion of both ankles (right ankle p=0.00 and left ankle=0.02) and in both groups; however, the gait pattern did not present a significant improvement after the neuromotor exercise training (speed p=0.55; time to ambulation p=0.6). Conclusion: The neuromotor training maintained the gait pattern (speed and time to ambulation) and the mobility of ankles of the older women assessed. descriptors: Aged; Gait; Movement.
Opponent Detection By Humanoid Robots For The RoboCup SPL Using Multi-scale Color Local Binary Patterns

In the RoboCup Standard Platform League, fully autonomous humanoid robotic soccer players compete against each other. During a match, it is critical that the robot is capable of perceiving and comprehending its surroundings. This study is focused on the opponent detection by the robots. An opponent detector based on Multi-block Local Binary Patterns has been proven effective by a recent study from the University of Miami. However, many improvements to speed and accuracy are still achievable. Therefor, this study expanded on this by implementing six Multi-scale Color Local Binary Patterns: RGB-, nRGB, Transformed-, Opponent-, nOpponentand Hue-LBP. All these LBP s are trained by using functions from the OpenCV library. This study concludes that the Multiscale Color LBP s outperform the Multi-block LBP based on the argument that their mean average percentage is higher.
Bayesian Population Size Estimation with A Single Sample

The estimation of the size of a finite population is a problem encountered in a variety of applications. One standard statistical approach relies on markrecapture sampling, which may require high costs and annoyance to the population of interest. These considerations have motivated the search for alternative sampling strategies that allow to estimate the size of a population from a single capture. Hettiarachchige [4] proposes a method that is viable when the population is made of only two generations: a group of generators and one of generated units. We investigate Bayesian methods alternative to the frequentist estimators used in [4]. Preliminary results give evidence of competing performance of the Bayesian approach, which in some cases sensibly outperforms the frequentist alternatives. Abstract La stima della numerosità di una popolazione è un problema comune a vari ambiti di applicazione. Le procedure di stima sono solitamente basate sul noto metodo cattura-ricattura, il quale comporta elevati costi e disturbo della popolazione. Tali considerazioni hanno stimolato la ricerca di tecniche che permettano di ottenere un stima utilizzando un unico campione. Hettiarachchige [4] propone un metodo applicabile nel caso in cui la popolazione sia composta di due sole generazioni: un gruppo di unità generatrici ed uno di unità generate. L’obiettivo del nostro lavoro è quello di ottenere un’estensione Bayesiana dell’originale modello frequentista. Risultati preliminari evidenziano accuratezza degli stimatori Bayesiani sensibilmente migliore rispetto alle alternative frequentiste.
Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway

Biological vision is envied for its ability to learn to recognize objects in the 3D world undergoing physical transformations. A recent hypothesis is that the ventral visual pathway exploits the manifold nature of these transformations to form neural codes that are efﬁcient for discrimination, but there is no compelling model for how this representation is learned from data. We propose a computational model that performs unsupervised learning on received retinal imagery to infer identity-preserving transformations. We show that such a model can successfully learn useful representations on a subset of objects that can be transferred to new objects. We also demonstrate that this model can be used to infer 3D transformations from 2D imagery despite the ill-conditioned nature of the problem. This model for 3D inference can account for psychophysical experiments such as 3D shape perception from random-dot kinematograms.
Tugas Akhir ini akan menentukan sumber energi terbarukan yang layak dan lokasi yang tepat untuk diterapkan di Wilayah Madura dengan menggunakan metode Fuzzy Analytical Hierarchy Process dan metode VIKOR (Visekriterijumsko Kompromisno Rangiranje) sebagai salah satu alternatif penyelesaian terhadap pe

Abstrak— Dalam tujuan optimalisasi pengembangan wilayah Madura, organisasi BPWS dibentuk sebagai lembaga yang mempresentasikan kepedulian pemerintah terhadap pengembangan Wilayah Madura. BPWS mempunyai rencana induk untuk lima tahun ke depan yaitu teralirinya 600 MW listrik di Wilayah Madura sebagai penunjang perekonomian. Pihak BPWS memperhatikan faktor-faktor kualitatif dan kuantitatif berdasarkan kriteria-kriteria dalam pemilihan energi terbarukan dan lokasi yang terbaik untuk wilayah Madura. Dalam tugas akhir ini, terdapat dua tujuan yang akan dicapai : pertama, bertujuan untuk menentukan energi terbarukan yang terbaik untuk Madura dengan metode Fuzzy Analytic Hierarchy Process dan VIKOR. Kedua, pilihan di antara alternatif lokasi produksi energi di Madura dibuat dengan menggunakan pendekatan yang sama. Dalam metode Fuzzy AHP dan VIKOR, bobot kriteria seleksi yang ditentukan berdasarkan pada perbandingan matriks AHP. Dalam pengambilan keputusan masalah energi, para ahli relatif sulit untuk memberikan nilai yang tepat untuk kriteria sehingga dinyatakan dalam variabel linguistik. Dalam rangka membuat model ketidakpastian dalam preferensi manusia, logika fuzzy sangat ideal untuk diterapkan. Dengan demikian, baik VIKOR dan AHP dilakukan dalam ruang lingkup fuzzy. Dari perhitugan fuzzy AHP dan VIKOR diperoleh bahwa energi tenaga surya adalah pilihan energi terbarukan yang paling tepat dan kabupaten Sampang adalah lokasi terbaik diantara alternatif untuk membangun pembangkit energi tenaga surya di Madura.
A Keyword-based Guide to Poirot Stories

A system (named KW-GPS) to assist users intent on enjoying Web resources related to a domain-restricted collection of stories is described. Each story is referenced in a virtual library in terms of: (1) the URLs of resources associated with the story, which include but are not limited to plot-summaries, narrative texts and videos; and in terms of (2) keywords of different classes, which serve as a multi-aspect index mechanism. The system was initially applied to Agatha Christie's Poirot detective-stories. Its main feature is a rank-and-show process, that first prompts the end-users to indicate their preferences by choosing from class-organized keyword lists displayed on the screen, after which they are in a position to order the system to activate the desired Web resources.
Pseudomonas bacteremia ; in vitro susceptibility pattern in a tertiary care hospital

1. MBBS, MD Microbiology, Senior Resident, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 2. Director Prof., Dept. of Microbiology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 3. Director Prof. & HOD, Dept. of Microbiology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 4. Director Prof., Dept. of Microbiology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 5. Prof., Dept. of Microbiology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi 6. Senior Resident, Dept. of Microbiology, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, New Delhi
A Black-box Approach Evaluation on Conversational Agent using Loebner Prize Competition Datasets

: Conversational Agents, or more commonly known as chatbots have been well-accepted in most enterprises. Chatbots have been widely used in major enterprises to perform the main purpose of customer service in delivering routine and frequently asked questions on behalf of humans. Bearing the goal to create believable conversational agents in providing accurate, reliable and up-to-date information, researchers have practiced natural language processing, machine learning, and deep learning in chatbot creation. In order to create a chatbot which is indistinguishable from human, many researchers have attempted to create human-like chatbots by neglecting the necessity to evaluate the general knowledge of the chatbot before proceeding into the creation of domain-specific knowledge. This paper presents the black-box approach to evaluate the response quality of a developed conversational agent named Tarie through datasets obtained from Loebner Prize Competition. The black-box approach is therefore deemed necessary to be used as the evaluation approach to evaluate the response quality of the conversational agent. The intelligence of the chatbot denotes the correct answers given to the user’s queries. The results obtained via the black-box approach is further deduced to indicate whether the chatbot is ready for the domain-specific knowledge creation or to further improve its current general knowledge. This paper presents the black-box approach to evaluate the response quality of a proposed conversational agent named Tarie through datasets obtained from Loebner Prize Competition.
Feasibility Study of Hand Motion Analysis by the Leap Motion Sensor

This paper presents the results of a feasibility study for the use of the infrared sensor LeapMotion for hands motion analysis in clinical evaluation. A system was developed to allow patients with muscular weakness to use this sensor. This system was used on 2 patients affected by spinal muscular atrophy. The results showed that the LeapMotion is not sufficiently robust or accurate for clinical assessment. In addition, the proposed system installation complicates the process. More trials with specific users and profiles should be realized to refine and improve those results.
Title : An Integrated Evaluation of the Nutrient Uplift Provided by Xylanase in Finishing Diets – NPB # 13-158 Investigator :

In Exp. 1, graded levels of xylanase (8,000, 16,000 and 24,000 BXU/kg) were supplemented to diets containing 15% each of corn DDGS, corn germ meal, and wheat middlings (with all diets containing 250 FTU/kg of phytase supplementation) for a balance trial with pigs weighing 75-80 kg to compare apparent total tract digestibility (ATTD) of the diets. A positive effect of xylanase supplementation was demonstrated in hemicellulose digestibility with the highest supplementation (24,000 BXU/kg of xylanase) indicating that degradation of insoluble fiber (i.e., arabinoxylan) by the non-starch polysaccharide degrading enzyme supplementation had occurred. This was then associated with a slight increase of energy retention and an energy uplift at approximately 33 kcal/kg for pigs fed that enzyme level.
1 High-Risk Multiple Myeloma : Integrated Clinical 2 and Omics Approach Dissects the Neoplastic Clone 3 and the Tumor Microenvironment 4

Multiple myeloma (MM) is a genetically heterogenous disease that includes a subgroup 44 of 10-15% of patients facing dismal survival despite most intensive treatment. Although 45 improvements in the biology knowledge, MM is still an incurable neoplasia and therapeutic options 46 able to overcome the relapsing/refractory behavior represent an unmet clinical need. The aim of this 47 review is to provide an integrated clinical and biological overview on the high-risk MM, discussing 48 novel therapeutic perspectives, targeting the neoplastic clone and its microenvironment. 49 The dissection of the molecular determinants of the aggressive phenotypes and drug-resistance can 50 foster a better tailored clinical management of high-risk profile and therapy-refractoriness. Among 51 the current clinical difficulties in MM, patient’s management manipulating the tumor niche 52 represents a major challenge. The angiogenesis and the stromal infiltrate constitute pivotal 53 mechanisms of a mutual collaboration between MM and the non-tumoral counterpart. Immuno54 modulatory and anti-angiogenic therapy hold great efficacy but variable and unpredictable 55 responses in high-risk MM. The comprehensive understanding of the genetic heterogeneity and 56 MM high-risk ecosystem enforce a systematic bench-to-bedside approach. Here we provide a broad 57 outlook of novel druggable targets. We also summarize the existing multi-omics-based risk profiling 58 tools, in order to better select candidates for a dual immune/vasculogenesis targeting. 59
State Estimation of Mobile Client based on Sensor Data Fusion for Localization in Multistory Building

This paper describes the state space model for estimation of the mobile wireless client based on sensor data fusion. Data pertaining to the physical positions of personal electronic devices or mobile robots are important for information services and robotic applications. We deal strength of received signals of wireless LAN signals from the wireless LAN access points for localization of mobile clients in multistory buildings. The output of accelerometer has uncertainty; we apply the probabilistic model of the estimation result of location using wireless LAN signals and the acceleration acquired by the sensor as the observation model. We use an acceleration of the mobile client as the sensor data. In addition, a method for simpliﬁed measurement for making the ﬁngerprinting-type estimation system based on the pacing motion by the human is discussed. Experimental results show the feasibility of the method.
SÍNTESE DE COMPENSADOR DINÂMICO DE SAÍDA PARA SISTEMAS CONTROLADOS VIA REDE

This paper presents a method for synthesis of dynamic output-feedback controller partially depended on parameter for networked control systems. The results are described in terms of linear matrix inequalities based in a polytopic model for the system. Moreover, a restriction related with temporal performance for the closed-loop system is included in the stability condition. A numerical example and simulation are provided in order to illustrate the proposed method. Keywords— networked control systems, linear matrix inequalities, output dynamic compensator. Resumo— Este artigo apresenta uma proposta para śıntese de compensador dinâmico, parcialmente dependente de parâmetro, para sistemas controlados via rede. Os resultados são desenvolvidos em termos de desigualdades matriciais lineares, considerando para isso um modelo politópico para o sistema de controle. Adicionalmente, uma restrição temporal, relacionada ao desempenho do sistema em malha fechada, é acrescentada à condição de estabilidade. O método proposto é ilustrado a partir de um exemplo com resultados numéricos e simulação. Palavras-chave— sistemas de controle via rede, desigualdades matriciais lineares, compensador dinâmico de sáıda.
Live Cricket Score and Winning Prediction

Winning is the aim of any game. Nowadays Cricket is one of the most watched game after Soccer. Winning of Cricket match depends on various factors like home advantage, past performances, experience in the match, performance at the specific venue, performance against the specific team and the current form of the team and the player. But in this paper prediction will be done while match is in progress i.e. live prediction . In this work number of wicket fallen, venue of match, ranking of team, pitch report, home team advantages those factors will be considered. In past few years lot of work and research papers have been published which measure only player performance and their winning predictions. This paper briefs about the elements that cricket amusement relies upon and examine around couple of other research papers that anticipated the cricket score and wining. Information Mining and Machine learning in Sports Analytics, is a fresh out of the box new research field in Computer Science with a ton of test.
A Hybrid Model for User History-BasedPrediction with Geolocation Assisted Handover in 5G

The upcoming years promise an explosive growth in data traffic for mobile real-time applications. Femtocell networks seem to be the solution for the demanding traffic and coverage required in the next generation of telecommunication. However, the ultra-dense of the femtocellular networks bring additional delay overhead due to unnecessary handovers for the roaming Mobile Station (MS). This paper presents a hybrid model to predict the users movements accurately and eliminate the unnecessary handovers. The proposed model consider the behavioral patterns of MS movements which decreasing the delay to suit the real time application, and result of enhancing the performance in 5G networks.
Land Surface Temperature Measurements from EOS MODIS Data Semi-Annual Report For July-December , 1992

Some modifications have been made in the atmospheric radiative transfer code ATRAD in order to evaluate the effects of angular variations in the land-surface temperature and emissivity, and thermal BRDF (bidirectional reflectivity distribution function). Simulations in the 8-13 μm range show that thermal infrared signals at the top of the atmosphere depend only on the surface temperature and emissivity in the viewing direction under clear-sky conditions if the surface reflects downward sky radiation as a Lambertian surface. This means the contribution from atmospheric scattering of surface thermal radiation in other directions is negligible under clear-sky conditions. Therefore, the single direction measurement of surface temperature by a multiband sensor on satellites can not retrieve the angular dependences of surface temperature and emissivity even if these dependences exist. Cirrus and fogs may bring some cross effects but also make atmospheric corrections more difficult. In real applications of the land-surface temperature estimated from satellite thermal infrared data, surface structure which makes the temperature and emissivity angular dependent may be estimated from visible, near-infrared and medium infrared data. Experience from ground measurements and simulations will be useful to provide some necessary information.
OmniTour : Semi-automatic generation of interactive virtual tours from omnidirectional video

We present a semi-automatic method to generate interactive virtual tours from omnidirectional video. Similar to Google Streetview, but focused on indoor environments, the system allows a user to virtually walk through buildings on predefined paths. The user can freely look around and walk into every direction, provided there exists a prerecorded location, e.g. at junctions. The method automatically computes the initial tour topology from the omnidirectional video data using structure from motion. A place recognition step afterwards detects junctions and loop closures. A final interactive refinement step allows to align the initial topology to a floor plan with a few mouse-clicks. The refinement step incorporates automatic constraints from the place recognition step and manual constraints. The presented system combines a high degree of automation with a final manual polishing step to create an easily usable system.
Studies on Microbial Dynamics in Little Millet (Panicum sumatrense L.) based Intercropping System under Rainfed Condition

India is the largest producer of variety of millets, which are often referred as coarse cereals. Realizing the nutrient richness of these grains they are now considered as “Nutri-cereals”. In India, little millet holds an area of 2.25 lakh ha with a production of 1.59 lakh tonnes and productivity of 707 kg/ha under small millet (Anonymous, 2016). Little millet is a good source of protein for vegetarians. Little millet is used to cure cancer, diabetes, asthma, high blood pressure and provides relief from constipation, bloating and cramps. Little millet is used mainly as rice or bread, which serve as the poor man's food. The area under millets are shrinking over years due to replacement of little millet crop with more remunerative crops. Intercropping system has been recognized as beneficial cropping system under rain-fed condition and intercropping with suitable crops provide a better option for farmers. Cultivation of small millets in International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 06 (2019) Journal homepage: http://www.ijcmas. com