Miracle-dz/UniFAR-FTUs huggingface dataset:
The Representation of Image Texture

Abstract : This thesis explores how to represent image texture in order to obtain information about the geometry and structure of surfaces, with particular emphasis on locating surface discontinuities. Theoretical and psychophysical results lead to the following conclusions for the representation of image texture: (1) A texture edge primitive is needed to identify texture change contours, which are formed by an abrupt change in the 2-D organization of similar items in an image. The texture edge can be used for locating discontinuities in surface structure and surface geometry and for establishing motion correspondence; (2) Abrupt changes in attributes that vary with changing surface geometry -- orientation, density, length, and width -- should be used to identify discontinuities in surface geometry and surface structure; (3) Texture tokens are needed to separate the effects of different physical processes operating on a surface. They represent the local structure of the image texture. Their spatial variation can be used in the detection of texture discontinuities and texture gradients, and their temporal variation may be used for establishing motion correspondence. What precisely constitutes the texture tokens is unknown; it appears, however, that the intensity changes alone will not suffice, but local groupings of them may; and (4) The above primitives need to be assigned rapidly over a large range in an image. (Author)
Gross Morphology of Male Genital Organ and Histomorphology of the Renal Sexual Segment in the Yellow Rat Snake ( Elaphe obsoleta quadrivittata )

The present work is undertaken to study the gross morphology of the male and female genitalia of the snake. Since the yellow rat snake presented two hemipenis, the histology of the renal sexual segments was to be studied to understand the sexual cycle of the snake. The yellow rat snake showed the presence of two hemipenis nearly 1½ feet from the tail end. The nephron in the mature male rat snake had a hypertrophied distal portion called the renal sexual segment. The renal sexual segment was lined by a simple columnar epithelium with basally located nuclei. A characteristic feature of these cells showed large sexual granules distributed throughout the cytoplasm. The lumen of these segments is relatively narrow showing centrally translucent colloidal material with a collar of secretary blebs. Abundant secretory granules were found in the lumen, since the sample was obtained in the month of March which is the premating period for snakes.
Current Patterns in the Management of Adult Stroke by Filipino Neurologists: A Nationwide Cross-Sectional Survey among Fellows of the Philippine Neurological Association

Background. Despite the availability of clinical guidelines for stroke, variation exists in the management patterns of stroke among neurologists. Objective. To determine the current practice patterns of Filipino adult neurologists in stroke and their adherence to the current clinical guidelines of the Stroke Society of the Philippines (SSP). Methods. Cross-sectional survey using a 3-page, 17-item questionnaire reviewed by the Stroke Council of the Philippine Neurological Association (PNA). Results and Observations. From November 2013 to July 2014, 136 of 277 (49%) locally practicing board certified adult neurologists of the PNA were surveyed. Some important findings from the survey include: (1) 70% of respondents underestimated the benefit of warfarin in stroke prevention in nonvalvular atrial fibrillation (NVAF); (2) for acute ischemic stroke, although the recommended systolic blood pressure (SBP) threshold is >220 mm Hg, 43% would initiate antihypertensive therapy at SBP >180 mm Hg; (3) for acute primary intracerebral hemorrhage (ICH), 42% would start antihypertensives at SBP >140 mm Hg; (4) despite the absence of guidelines recommending the use of neuroprotectant drugs for acute stroke, 75% and 56% of neurologists have prescribed it to >80% of their patients with infarcts and ICH respectively; (5) 46% of neurologists have not experienced giving thrombolytic therapy to any of their patients with acute ischemic stroke; (6) among patients with clinically stable hemorrhagic strokes, 77% of neurologists would give antithrombotics, while 28% of them would start it 30 days after the onset of stroke; (7) only 21% of respondents have ordered carotid studies as part of their work up in >80% of their patients with ischemic strokes; and (8) 64% of respondents have requested carotid revascularization procedures for patients with significant carotid stenosis, and about 38% of these patients underwent the procedure. Conclusion. The management patterns in stroke remain varied among Filipino neurologists, although the patterns show increasing adherence toward guideline recommendations. The following practices are noted: underestimation of the benefits of oral anticoagulation for stroke prevention among patients with NVAF; use of pharmacologic control of blood pressure below the recommended threshold for acute ischemic stroke; widespread use of neuroprotectant drugs despite lack of definite evidence for its use; low utilization of carotid studies in the work-up of patients with ischemic stroke and the low rate of revascularization procedures in confirmed cases of carotid stenosis; and a relative increase in experience with thrombolysis.
Clusters of Ayurvedic Medicines Using Improved K-means Algorithm

- Clustering analysis method is one of the main analytical methods in data mining, the method of clustering algorithm will influence the clustering results directly. This paper discusses the importance of Ayurveda, standard k-means and improved k-means clustering algorithm and its implementation to form clusters of ayurvedic medicine for four disease. The improved method avoids computing the distance of each data object to the cluster centers repeatedly.
COMBATING SARS-COV-19 BY PHYTOCHEMICALS: AN IN SILICO STUDY

Objective: The objective of the study was to identify the potential lead phytochemical compounds that can be targeted against the severe acute respiratory coronavirus, 2019 (SARS-CoV-19) main protease (6LU7). Method: A total of 191 phytochemicals from the Phytochemical and Drug Target Database (PDTDB) were retrieved and screened against SARS-CoV-19 protease by employing computational molecular docking studies. Results: Our molecular docking results reveal that compounds ergosterol peroxide, punicalin, oleanolic acid, naringin, and diosmin are showing a very good affinity for coronavirus disease, 2019 (COVID-19) main protease and can be explored further as the lead candidate. Conclusion: Computational studies of phytochemicals library against 6LU, a SARS-CoV-19 main protease led to the determination of compounds with the best theoretical affinity. Further, more target information of these compounds is needed for drug intervention, rational drug design, in vitro and in vivo evaluations, and final preparation in terms of clinical trial so that they can be used to combat the novel virus SARS-CoV-19.
Toward grid‐scale microgrids; evaluating the capacity of financial structures

To achieve an adequate level of integration, microgrids are facing challenges in three fronts; technical, financial and regulatory. In this study, a comprehensive study was carried out to investigate the main financial deficiencies and shortcomings faced by microgrids in their way to reach a grid-scale penetration. Accordingly, a systematic approach is proposed to explore the financial and policy factors affecting microgrid integration in distribution networks and evaluate possible conceptual microgrid business models. Economic analysis was performed to assess the proposed business models as investment options using the net present value method. Using the proposed approach, a platform to investigate the capacity of amending financial structure in helping achieve grid-scale microgrids is discussed. The proposed structure is implemented on the sample network and the results are evaluated.
Approaches to Resolving Client Problems in Counselling in a Multiethnic Society as Perceived by Guidance Counsellors in Anambra State

This paper investigated approaches to resolving clients’ problem in counselling, in a multi ethnic society as perceived by guidance counsellors in Anambra State, Nigeria. The study is a descriptive survey guided by two research questions. The population of the study includes all the 145 Guidance Counsellors in public secondary schools in Anambra State. The whole 145 counsellors equally formed the sample of the study. Questionnaires; “Counsellors’ Perception of Problems of Counselling in a Multi-Ethnic Society’’ (CPPCMESQ) and “Counsellors’ Perception of Approaches to counselling in a Multi-ethnic society” (CPACMESQ) were used to collect data from the respondents using direct delivery approach. Then, the data were collated, scored and analysed using mean and percentage. Findings from the study revealed among others that a higher percentage of the counsellors chose Eclectic, behaviour modification, and integrative approaches to counselling as the suited approaches to counselling in a multi-ethnic society Nigeria. Findings further revealed that problems of counselling in a multi-ethnic society includes; language barrier, tribalism, religion, high level of illiteracy, ethnic prejudice, application of appropriate theory, beliefs, practices and values of the clients, and not recognizing that ethnicity and culture are significant parameters for understanding psychological processes are problems to counselling. Based on the findings, the implication of the study was formed and recommendations made.
Lattice thermal transport in BaxREyCo4Sb12 (RE=Ce, Yb, and Eu) double-filled skutterudites

We use the Debye model to investigate the phonon scattering mechanisms in BaxREyCo4Sb12 double-filled skutterudites. Filling two types of guest atoms (barium and rare-earth elements) into the voids of skutterudite introduces additional phonon point defect scattering from the extra mass fluctuation at the void site, and additional phonon resonant scattering by the fillers with different vibrational frequencies, leading to significant reduction in the lattice thermal conductivity.
Future of paediatric cardiology and its patients

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Search for the electroweak production of supersymmetric particles in root s = 8 TeV pp collisions with the ATLAS detector

Aad, G. ; Abbott, B. ; Abdallah, J.; Abdinov, O. ; Aben, R. ; Abolins, M. ; AbouZeid, O.S. ; Abramowicz, H. ; Abreu, H. ; Abreu, R. ; Adams, David L. ; Ahlen, S. P.; Albert, J.; Adye, T. ; Dam, Mogens; Hansen, Jørn Dines; Hansen, Jørgen Beck; Xella, Stefania; Hansen, Peter Henrik; Petersen, Troels Christian; Thomsen, Lotte Ansgaard; Pingel, Almut Maria; LøvschallJensen, Ask Emil; Alonso Diaz, Alejandro; Monk, James William; Pedersen, Lars Egholm; Wiglesworth, Graig; Galster, Gorm Aske Gram Krohn
Review and Reputation Based Trust Management towards WLAN (RRTM)

— Nowadays wireless networks are becoming more and more admired. These are widely preferred as they are very easy to deploy. They augment the resource sharing and collaboration since these networks are physically decentralized. The anonymous behaviour and open nature of the WLAN put forward an ultimate environment for unauthorized access of resources also can be victim of attacks in the wireless network. WLAN systems may need to face attacks like man-in-middle, replay and Denial of Service (Dos) from malicious nodes in the network. That will cause an essential need of protecting these systems from such external attacks with secured communication between the peer nodes. For this purpose, the trust worthy communication must be established between the nodes. Before setting up the communication it should have trust in advance with the node to which it will communicate. Hence an efficient Trust Management System should be present for launching the trust worthy communication also updating the same based on its performance. The proposed system presents an iterative trust score calculation for WLAN based on review and reputation of the node in the network.
RESOURCE DEPENDANT DATA PARTITIONING FOR PARALLEL ITEM SET DISCOVERY UNDER CLOUD ENVIRONMENT

-The cloud environment provides resources for the data processing requirements. Big data mining methods supports knowledge discovery on high scalable, high volume and high velocity data elements. The cloud computing environment provides computational and storage resources for the big data mining process. Hadoop is a widely used parallel and distributed computing platform for big data analysis and manages the homogeneous and heterogeneous computing models. The MapReduce framework is applied to divide and process the data and tasks as small elements. The frequent item set mining methods are applied to fetch frequent patterns from the database transactions. The parallel frequent mining techniques divide and process the data set with equal intervals. The Data Partitioning in Frequent Itemset Mining on Hadoop Clusters (FiDoop-DP) is adapted to perform the load balanced rule mining process. The Voronoi diagram based data partitioning scheme uses the transaction relationships. The partitioning process controls the redundant transactions with similarity metric and Locality Sensitive Hashing (LSH) technique. The Parallel Frequent Pattern Growth algorithm is employed to discover the frequent item sets. The parallel rule mining process is build to support dynamic data partitioning and distribution over the heterogeneous Hadoop clusters. The heterogeneous Hadoop clusters are formed with different resource level in each computational node. The data aware partitioning process is carried out with load balancing mechanism. The computational resource level is also used for the data partitioning process. The FiDoop-DP scheme is upgraded to handle the data placement with load balance under the Hadoop Distributed File System (HDFS) in heterogeneous nodes. The parallel frequent Item set mining process is improved with energy efficiency features.
LONG-TERM UNEMPLOYMENT, VIOLENT CRIME AND VIOLENCE-RELATED BEHAVIOUR

This is a panel data study over 289 Swedish municipalities for the period of 2000-2018. The purpose of this study is to reinvestigate the relationship between long-term unemployment and violent crime, as well as alcohol-drugs-related behaviour. Fixed effects model with time and area fixed effects (with and without municipality-specific linear time trends added) was used to conduct this study. The results show a strong relationship between long-term unemployment and violent crime category: one percentage point increase in long-term unemployment increases violent crime rate by 2.8%, everything else held constant. This finding indicates that opposed to total registered unemployment, long-term unemployment measure might be a better identifier of individuals at the margin of engaging in criminal activity. It is also plausible, that as the duration of unemployment increases, so does the strain and frustration of being jobless, which in turn triggers violent, drug- and alcohol-related behaviour. Instrumental variables approach was used as a sensitivity test to confirm the relationship between unemployment and crime.
Lyapunov-based Stochastic Nonlinear Model Predictive Control: Shaping the State Probability Density Functions

—Stochastic uncertainties in complex dynamical systems lead to variability of system states, which can in turn degrade the closed-loop performance. This paper presents a stochastic model predictive control approach for a class of nonlinear systems with unbounded stochastic uncertainties. The control approach aims to shape probability density function of the stochastic states, while satisfying input and joint state chance constraints. Closed-loop stability is ensured by designing a stability constraint in terms of a stochastic control Lya- punov function, which explicitly characterizes stability in a probabilistic sense. The Fokker-Planck equation is used for describing the dynamic evolution of the states’ probability density functions. Complete characterization of probability density functions using the Fokker-Planck equation allows for shaping the states’ density functions as well as direct computation of joint state chance constraints. The closed-loop performance of the stochastic control approach is demonstrated using a continuous stirred-tank reactor.
E cacy of Sigmoidoscopy for Evaluating Disease Activity in Patients With Ulcerative Colitis

Su Bum Park Pusan National University School of Medicine, Pusan National Yangsan Hosptial Seong-Jung Kim Chosun University Jun Lee (  leejun@chosun.ac.kr ) Chosun University Yoo Jin Lee Keimyung University School of Medicine Dong Hoon Baek Pusan National University Hospital, Pusan National University School of Medicine Geom Seog Seo Wonkwang University School of Medicine Eun Soo Kim Kyungpook National University Sang-Wook Kim Jeonbuk National University Medical School So Yeong Kim Chosun University
A STUDY OF BIODEGRADATION OF PAPER WASTES BY USING BACTERIA ISOLATED FROM THE SOIL

– Ten soil samples have been collected randomly from local agriculture soils in Diwaniya city then the dilution 10 -5 celtured in nutrient agar s after mixing with 1gm of paper wastes after 90 days incubation at 35° C the resulted bacteria hydrolysis the paper and gave a zone of clearance about 13 -3 mm then the growing bacteria have been cultured alone on carboxymethylcellulose (CMC )agar . after incubation period and biochemical test there were three genus of bacteria recognized Pseudomonas florescence, E.coli and Bacillus subtillus . The study also observed that Pseudomonas florescence gave the highest diameter of zone of clearance 15 mm while E. coli gave the lowest zone of clearance 5mm.
Hybrid Self-Reconﬁgurable Platform for Inspection: The Crawler Unit

—Relieving humans from repetitive or dangerous tasks such as inspection and maintenance is one of the main goal of robotics. However, inspection robots have low fault tolerance and modest adaptability to different tasks. In such perspective, self-reconﬁgurable robots have proven superior performance. Here, the main components of a novel modular, self-reconﬁgurable hybrid platform for inspection are discussed. In particular, this work focuses on the crawler unit of such platform. The vehicle shows good ground maneuverability over different kind of terrains. Thanks to its design, the crawler can overcome ditches, climb ramps, move over uneven terrain and turn corners. Through the docking module, the vehicle can reconﬁgure into a snake robot coupling with its twin unit or into an arm when connected to the main base.
The Journal of Physiology https://jp.msubmit.net JP-RP-2019-277681R2 Title: Improved spike inference accuracy by estimating the amplitude of unitary [Ca2+] transients in weakly GCaMP6f expressing hippocampal pyramidal cells

Investigating neuronal activity using genetically encoded Ca 2+ indicators in behaving animals is hampered by inaccuracies in spike inference from fluorescent traces. Here we combine twophoton [Ca 2+ ] imaging with cell-attached recordings, followed by post hoc determination of the expression level of GCaMP6f, to explore how it affects the amplitude, kinetics and temporal summation of somatic [Ca 2+ ] transients in mouse hippocampal pyramidal cells (PCs). The amplitude of unitary [Ca 2+ ] transients (evoked by a single action potential) negatively correlates with GCaMP6f expression, but displays large variability even among PCs with similarly low expression levels. The summation of fluorescent signals is frequency-dependent, supralinear and also shows remarkable cell-to-cell variability. We performed experimental data-based simulations and found that spike inference error rates using MLspike (Deneux et al., 2016) strongly depend on unitary peak amplitudes and GCaMP6f expression levels. We provide simple methods for estimating the unitary [Ca 2+ ] transients in individual weakly GCaMP6f expressing PCs, with which we achieve spike inference error rates of ~5%.
Numerical Analysis and Theory of Oblique Alfvenic Solitons Observed in the Interplanetary Magnetic Field

Recently, there have been reports of small magnetic pulses or bumps in the interplanetary magnetic field observed by various spacecraft. Most of these reports claim that these localized pulses or bumps are solitons. Solitons are weakly nonlinear localized waves that tend to retain their form as they propagate and can be observed in various media which exhibit nonlinear steepening and dispersive effects. This thesis expands the claim that these pulses or bumps are nonlinear oblique Alfvén waves with soliton components, through the application of analytical techniques used in the inverse scattering transform in a numerical context and numerical integration of nonlinear partial differential equations. One event, which was observed by the Ulysses spacecraft on February 21st, 2001, is extensively scrutinized through comparison with soliton solutions that emerge from the Derivative Nonlinear Schrödinger (DNLS) equation. The direct scattering transform of a wave profile that has corresponding morphology to the selected magnetic bump leads to the implication of a soliton component. Numerical integration of the scaled profile matching the event in the context of the DNLS leads to generation of dispersive waves and a one parameter dark soliton.