Miracle-dz/UniFAR-FTUs huggingface dataset:
Tolerance to Root Flooding of Wheat Plants (Triticum aestivum L.) Produced with Biotechnological Approaches

Tolerance to soil flooding of wheat plants produced by in vitro selection of cells more tolerant to anoxia and regeneration of plants from such cells and transgenic wheat plants harboring the ipt gene encoding isopentenyltransferase, a key enzyme of cytokinin synthesis, was studied. On the basis of preliminary data, it was concluded that these biotechnological approaches are promising for improving tolerance to anaerobic stress of plants, which, like wheat, are highly sensitive to hypoxia and anoxia. _____________________________________________________________________________________________________________
Foot Infections in the Veterans Health Administration

BACKGROUND: Foot infections represent a major health concern in the Veterans Health Administration as they often may lead to limb loss. A majority of these infections are associated with diabetes in the form of diabetic foot ulcers. The diabetic foot infection is associated with a substantial mortality rate and often requires amputation to fully address the nidus of infection. METHODS: A retrospective chart analysis of all surgeries to treat foot infections in an 18-month period was conducted. Multiple variablespatient location, preventative primary care diabetic foot screenings, routine follow-up by a foot-care specialist, and pre-operative hospital admissionwere reviewed and recorded. The data was analyzed using a one-tailed z-test and chi-squared tests. The one-tailed z-test provided a facility-specific data analysis highlighting areas which may benefit from education or assistance in terms of resource allocation. The chi-squared tests reveal generalizable findings regarding the association among primary care diabetic foot screenings, routine follow-up by a foot-care specialist, and the need for pre-operative admission. RESULTS: Results show an absence of routine follow-up by a foot-care specialist is associated with a statistically higher rate of patients requiring pre-operative admission. Conversely, those patients with routine follow-up required fewer admissions. Though not significant at conventional levels, a higher percentage of patients without the primary care diabetic foot exams also lacked specialty follow-up and necessitated pre-operative hospital admission when compared to patients with the screenings. CONCLUSION: This study provides an example of methodology reviewing pedal infection-related surgical data to perform effective limb loss prevention in the VHA setting. The generalizable results elucidate the role of the primary care and foot-care specialists in preventative medicine thereby avoiding a hospital admission. The current study suggests that a close, collaborative, patient-centered approach between primary care and podiatry results in better outcomes for patients.
Response of tef (Eragrostistef) to foliar application of micronutrients in Central Rift Valley of Ethiopia

The present study was carried out to investigate effect of foliar application of micronutrients on yield and yield components of tef(Eragrostistef) Gemechis variety, in three districts; Boset, Adama and Dodota during 2014-2015. The trial was laid out in a randomized complete block design in three replicates. Seven treatments comprising chelates of four micronutrients viz., Copper (Cu), Zinc (Zn), Iron (Fe), and Manganese (Mn) separately, combination of these chelate micronutrients, with NPK (nitrogen, phosphorus and potassium), NP (nitrogen and phosphorus) and NPK were evaluated. The chelated blended type fertilizers were foliar applied at rate of 1.12 kg ha -1 in 600L of water with recommended rates of NPK (41N, 46 P2O5 and 60 K2O). The result revealed that at Melkassa and Adulala significantly high (p< 0.05) tef yield 1350 kgha -1 and 1991.7 kgha -1 were obtained by the application of Cu respectively. At Dodota significantly high (p< 0.05) tef yield 1920.8 kgha -1 was obtained by the application of Mn. At Wolenchiti plant height and panicle length significantly affected by the application of Zn and Mn however, the grain yield and biomass yield was not significantly affected by the foliar application of micronutrients. Partial budget analysis was also carried out to identify the rewarding treatment for economic production of tef, at Melkassa the application of NPK with or without micronutrients have no meaningful economic advantage over the recommended NP fertilizers. At Adulala and Dodota, the highest net benefit 26,757 and 25,736.5 ETBha -1 were obtained respectively with high Marginal Rate of Return (MRR) greater than 100% by the application of NPK with micronutrients.
Design and Development of an Automatic Online Newspaper Archiving System

: News archive has always been a great source of information. Till date, several printed and manual information retrieval systems served the purposes. But these systems are gradually becoming out of date, since they offer limited scope and facility for searching and retrieval of information and require a large amount of storage capacity. This study aims to illuminate a prototype of an automatic online newspaper archiving and information retrieval system based on online newspaper websites, which will offer a large amount of information storage capacity and easy navigation system for users. In this research work we conducted an inductive study on the structure of some mostly visited online newspaper sites and at the same time an effort was made to develop an algorithm for a news crawling program that will make it possible to store news from online news sites automatically with minimum bandwidth wastage and provide an easy User Interface for users to browse and search for news. The findings from the study suggest that, in perspective of Bangladesh no systematic structure is used for the development of online news websites. These websites can be brought under a standard structural format which will make archiving easier and error free. Finally we had developed an automatic news archive system based on a web crawler program and propose some structural considerations for online news sites that will make the site friendly for archiving.
A FAST & EFFICIENT METHODOLOGY FOR GENERATING ALL SEQUENTIAL PATTERNS FROM A SEQUENTIAL DATA SET

: The discovery of sequential patterns is one of the most vibrant and useful segment of modern data mining. It has a vast array of real world applications. It is worthy of study on extending the memory indexing approach for efficient mining of generalized sequential patterns. This paper proposes a a new method for sequential pattern mining. In this paper the original data set is converted in to the transformed data set, by pruning the useless data in the early stage of data mining. The results have shown that this approach is resulting in saving a lot of computational time.
SeWeb: A Knowledge Flowing Service Network Mode of Super knowledge nodes Transmission based on P2P

Knowledge service has not been a strange information technology since web users can actively query and serve useful knowledge. In this paper, we present SeWeb, which is an effective and effi cient knowledge recommending sys- tem using classical P2P technology based on super nodes. Super nodes are users with fast, mobile connections. This paper has solved two problems: (1) how to construct knowledge services model pointing to Web application; (2) how to eliminate misunderstanding applied knowledge services on Web Platforms. SeWeb Platforms make sure of effi cient information com- munication because of HTTP protocol. SeWeb can construct wider P2P networks (VPNs) whose goal is to serve knowledge of various kinds. Besides, we show one application interface: SeCollege, which is a sort of real time document resources provider. SeCollege users can upload or download needed documents wherever physical location is. From evaluation results, the emergency of Server Platform has brought vast, great convenience to users.
A B-Spline Based Algorithm for Shape From Shading

In this paper, we propose a B-spline based approach to the shape from shading problem. Its basis lies in approximating a smooth surface by uniform bicubic B-spline baais functions. Since the surface normal in a patch is uniquely determined by heights of its sixteen neighbour vertices, the image brightness is directly related to the control vertices. The control vertices are then determined by minimising a cost functional corresponding to the squared brightness error, optimised by conjugate gradient method. The proposed algorithm does not require any integrability constraint or knowledge of boundary conditions. Using two experiments with synthetic images, we demonstrate the performance of the algorithm.
Soft-Robust Actor-Critic Policy-Gradient

p̄(x, y) ≥ ( p0ω(p0) )n (x, y) p̄(x, y) ≥ p0 (x, y)ω(p0) > 0 which shows that p̄ is irreducible. Using the same reasoning, we show {n ∈ N : p0 (x, x) > 0} ⊂ {n ∈ N : p̄(x, x) > 0} and then use the fact that p0 is aperiodic to conclude that p̄ is aperiodic too. A.2 Proposition 3.2 This recursive equation comes from the same reasoning as in Lemma 3.1 of Xu and Mannor [2012]. We apply it to the average reward criterion.
 Access Policy in Cloud Based On Compound Attributes of System Users

—Cloud computing has emerged as one of the most influential paradigms in the IT industry in recent years. Since this new computing technology requires users to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. Several schemes employing attribute-based encryption (ABE) have been proposed for access control of outsourced data in cloud computing; however, most of them suffer from inflexibility in implementing complex access control policies. Scalable, flexible and fine-grained access control are important and challenging issues concerning about data in cloud computing. A Hierarchical Attribute-Set-Based Encryption (HASBE) is designed and implemented which extends Ciphertext-Policy Attribute-Set-Based Encryption (CP-ASBE) with a hierarchical structure of users. This scheme achieves scalability due to its hierarchical structure and fine-grained access control of out-sourced data in cloud computing by supporting compound attributes of Attribute-Set Based Encryption (ASBE).
Improving Bass Saliency Estimation Using Transfer Learning and Label Propagation

In this paper, we consider two methods to improve an algo-rithm for bass saliency estimation in jazz ensemble recordings which are based on deep neural networks. First, we apply label propagation to increase the amount of training data by transferring pitch labels from our labeled dataset to unlabeled audio recordings using a spectral similarity measure. Second, we study in several transfer learning experiments, whether isolated note recordings can be beneﬁcial for pre-training a model which is later ﬁne-tuned on ensemble recordings. Our results indicate that both strategies can improve the performance on bass saliency estimation by up to ﬁve percent in accuracy.
Size estimation and detection of disease for Betelvine leaf using image processing

— Plant species identification is a vital problem for biologists, environmentalists, agricultural researchers, taxonomists and in the field of Ayurvedic. Plant identification can be done by manually by the botanical experts using books or plant identification manual, but it can be time consuming and a low efficiency process. The proposed system brings out an efficient method for plant classification using color, texture and GLCM feature extraction with Support Vector Machine (SVM) is used as a classifier. The main phases of proposed approach are pre-processing Color recognition and classification, feature extraction and leaf classification. In the preprocessing stage, the acquired leaf image is resized and converted into binary image with filling the unwanted hole in order to extract the optimal feature. In the color recognition phase system classifies the leaf on the basis of various intensities like red, green to reduce the complexities. Feature extraction phase consists of geometrical feature and texture feature extraction which covers features like aspect ratio, rectangularity, convex area ratio, eccentricity, diameter, form factor, narrow factor, perimeter ratio, solidity, circularity, irregularity, contrast, homogeneity, correlation, energy, entropy. On the other end, training is given for leaves with the similar method and result is stored in the dataset. In the final phase SVM classifier is trained to identify the exact leaf disease. It is done to acquire high efficiency with less computational complexity. Training is carried out for 30 leaf images belong to 3 different classes. The proposed approach is more suitable for disease identification that have high accuracy with less computation time.
Implications of Finite Universe Complexity

We show that if the universe has finite complexity then the laws of physics are time reversible, time is periodic with history eternally repeating, the feasible states of the physical universe are non-arbitrary, and the complexity of the physical universe is constant conditional on knowledge of the laws of physics. Time itself is fundamentally non-unique and defined by our chosen decomposition of the universe into physical states and physics. Furthermore, if the Law of Inertia holds (Newton’s 1st Law) then both time and space are periodic. Finite complexity is also a possible explanation for spooky action at a distance.
University Students’ Perception of Acceptance & Rejection

The purpose of this study was to extend the existing body of knowledge on the perception of acceptance and rejection among the university students. A conceptual framework which illustrates three dimensions of acceptance and rejection including parental, siblings and peer group was developed. The present research was a descriptive study which used an indigenous research inventory to measure acceptance and rejection. The study was carried out on a sample of 100 university students and it explored the impact of demographic variables including gender, age, birth order, and family income level on determining the level of acceptance and rejection. Result of the study revealed that the phenomenon of university students’ acceptance and rejection does exist among. Male students experience higher parental and siblings rejection than females. Students from higher income families experience higher rejection compared to students from low income families. The findings also indicated that different demographic variables contribute significantly in determining the perceived level of acceptance and rejection.
Dynamic processes in urban green infrastructure systems Approches dynamiques pour les infrastructures vertes urbaines

Urban green infrastructure (GI), a sustainable stormwater management solution, is dynamic and variable due to the primary hydrologic processes infiltration and evapotranspiration (ET). Traditional, volumebased design approaches do not incorporate these processes, resulting in overdesign that minimizes accepted crediting for the systems or inefficient systems. Four field studies are examined representing a range of GI types, watersheds, and time. All sites reliably demonstrate that well-maintained GI systems regularly can capture more rainfall than their design capture. Moving to a dynamic design approach will more closely align the design and observed performance, which will result in designs that can efficiently and economically meet regulatory requirements.
Internet Addiction among School going Adolescents in Pokhara, Western Nepal

Internet addiction is growing as a major problem globally, especially among the adolescence and though it has many benefits it has also impacted on their psychological, social, academic, occupational and overall functioning, yet has been rarely explored adequately in developing countries. This descriptive cross-sectional study was conducted to assess the prevalence of internet addiction and its associated factors among adolescents in Pokhara-Lekhnath Metropolitan City, Western Nepal, using a local secondary school students as the study population. Non-probability, purposive sampling technique was adopted and the adolescents studying in grade 10 were selected as study sample with the sample size of 102.Data was collected using self-administered questionnaire, a standard tool i.e. Internet Addiction Test (IAT) was used. The findings showed greater proportions (64.7%) of adolescents had mild and 8.8% had moderate internet addiction even though there was no severe addiction this is very higher prevalence than reported by several studies in other countries. There was significant association of internet addiction with the purpose of internet use (p= 0.004). Accessibility and availability of Internet use is constantly growing in Nepal also. Hence, there is need to raise awareness about internet addiction among adolescents at school, family and community level in order to prevent future consequences.
Long‐term hydrologic recovery after wildfire and post‐fire forest management in the interior Pacific Northwest

Elevated wildfire activity in many regions in recent decades has increased concerns about the short‐ and long‐term effects on water quantity, quality, and aquatic ecosystem health. Often, loss of canopy interception and transpiration, along with changes in soil structural properties, leads to elevated total annual water yields, peak flows, and low flows. Post‐fire land management treatments are often used to promote forest regeneration and mitigate effects to terrestrial and aquatic ecosystems. However, few studies have investigated the longer‐term effects of either wildfire or post‐fire land management on catchment hydrology. Our objectives were to quantify and compare the short‐ and longer‐term effects of both wildfire and post‐fire forest management treatments on annual discharge, peak flows, low flows, and evapotranspiration (AET). We analyzed ten years of pre‐fire data, along with post‐fire data from 1 to 7 and 35 to 41 years after wildfire burned three experimental catchments in the Entiat Experimental Forest (EEF) in the Pacific Northwest, USA. After the fire, two of the catchments were salvage logged, aerially seeded, and fertilized, while the third catchment remained as a burned reference. We observed increases in annual discharge (150–202%), peak flows (234–283%), and low flows (42–81%), along with decreases in AET (34–45%), across all three study catchments in the first seven year period after the EEF wildfire. Comparatively, annual discharge, peak flows, lows flows, and AET had returned to pre‐fire levels 35–41 years after the EEF fire in the two salvage logged and seeded catchments. Surprisingly, in the catchment that was burned but not actively managed, the annual discharge and runoff ratios remained elevated, while AET remained lower, during the period 35–41 years after the EEF fire. We posit that differences in long‐term hydrologic recovery across catchments were driven by delayed vegetation recovery in the unmanaged catchment. Our study demonstrates that post‐fire land management decisions have the potential to produce meaningful differences in the long‐term recovery of catchment‐scale ecohydrologic processes and streamflow.
A Comparison and Compilation of Spatial Image Priors for Image Deconvolution

Image priors are critical tools used to turn ill-posed deconvolution problems into forms that have more tractable solutions. However, as these priors become more and more ubiquitous, it is important to thoroughly test, classify, and organize these priors for various classes of images under different conditions. This treatment of image priors is fundamental for robust and novel image estimation to become an easily usable and intuitive technology that anyone and everyone can use. In this paper I simply demonstrate a small example of how I feel priors can be compared, generalized, and compiled together. Specifically, I explore three spatial priors, Total Variation, Laplacian, and Frobenius norm of Hessian, applied to natural images using the ADMM solution model for non-blind image deconvolution. I find that these norms operate well as a basis for optimizing natural images. Additionally, I combine them into a single function for the sake of showing how priors may be combined into a general technology.
The upper limb in neuromuscular disorders. From basic function to daily life performance

Our arms are important in carrying out daily activities. A muscular disease can limit the arm function, so that people are no longer able to carry out their daily activities in the way they want. In this thesis, we have studied the problems and limitations of people with different types of muscle diseases in daily life, and with what instruments this can be measured. A questionnaire survey in various muscle diseases led to recognition that certain muscle diseases tend to lead to overload (high arm activity, however also much pain) while other muscle diseases show a profile with just a limited load (restricted use of the arms and little pain). These different profiles advocate different rehabilitation strategies, including the use of arm supports. From measurements on the arm muscles, it became clear that the use of an armrest leads to less stress on the muscles than without the use of such an armrest. In addition to the survey study and analysis of muscle activity, it is recommended to use methods in the future that can measure the arm activity in everyday life, to get insight into effectiveness of innovative armrests or other rehabilitation strategies.
Therapeutic management of Bacillus Calmette–Guerin refractory patients: a narrative review

High risk bladder cancer (BC) patients who fail Bacillus Calmette–Guerin (BCG) therapy suffer from a challenging disease due to its molecular and clinical heterogeneity. The course of the disease depends on the risk profile. Currently, radical cystectomy is the recommended standard of care for patients with nonmuscle invasive BC who fail BCG failure. However, radical cystectomy carries significant morbidity with which some patients might even be overtreated. Therefore, effective alternative treatments are needed. Despite the facilitation of research and regulatory processes, the research in this patient population has not yet brought about a change in management. Indeed, there is no accepted effective and safe alternative, yet, to radical cystectomy for these patients. Numerous bladder-sparing strategies are currently investigated in patients experiencing BCG failure, including hyperthermia, gene-, targetedand immunotherapy; one or more of these strategies could potentially change the standard therapeutic approach in the near future. In this review, novel treatments and currently available oncological data on these therapies are reported.
Proposal for the use of riparian areas to mitigate the impact of urbanization in landscape fragmentation Proposition d'utilisation des zones riveraines pour atténuer l'impact de l'urbanisation sur la fragmentation du paysage

The landscape fragmentation is one of the main factors that weaken the remnants of vegetation in areas of urban expansion. A strategy that may mitigate these impacts is the application of the green and blue infrastructure concept, which includes the creation of green corridors in the riparian areas. This paper aims to characterize this phenomenon by analysing the evolution of urban occupation in two hydrographic catchments located in the Metropolitan Region of Belo Horizonte, Brazil, and the use of landscape metrics for its quantification. When the fragmentation increased in the period between 1985 and 2017, we started with the proposal of strategies for the management of the landscape, with the development of occupation scenarios that allow the connectivity increase, by means of the recovery of marginal areas to the watercourses. Results show that a realistic scenario, which consider the recovery of riparian areas not densely urbanized, can improve green areas connectivity to levels better than 1985’s.