Miracle-dz/UniFAR-FTUs huggingface dataset:
Unified View of Sediment Transport by Currents and Waves. II: Suspended Transport

The problem of suspended sediment transport in river and coastal flows is addressed. High-quality field data of river and coastal flows have been selected and clustered into four particle size classes 60-100, 100-200, 200-400, and 400-600 m. The suspended sand transport is found to be strongly dependent on particle size and on current velocity. The suspended sand transport in the coastal zone is found to be strongly dependent on the relative wave height Hs/h, particularly for current velocities in the range 0.2-0.5 m/s. The time-averaged over the wave period advection-diffusion equation is applied to compute the time-averaged sand concentration profile for combined current and wave conditions. Flocculation, hindered settling, and stratification effects are included by fairly simple expressions. The bed-shear stress is based on a new bed roughness predictor. The reference concentration function has been recalibrated using laboratory and field data for combined steady and oscillatory flow. The computed transport rates show reasonably good agreement within a factor of 2 with measured values for velocities in the range of 0.6-1.8 m/s and sediments in the range of 60-600 m. The proposed method underpredicts in the low-velocity range 0.6 m/s. A new simplified transport formula is presented, which can be used to obtain a quick estimate of suspended transport. The modeling of wash load transport in river flow based on the energy concept of Bagnold shows that an extremely large amount of very fine sediment clay and very fine silt can be transported by the flow.
Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test

Forensic analysis of soil traces can be highly valuable in criminal investigation as it can provide evidence which links a person or a contaminated object with one specific location. Given two soil samples, the task of a forensic expert is typically to decide whether they both originate from the same location or not. To confidently answer this question it is necessary to perform a complex analysis focused on examination of the sample's organic, anthropogenic, and naturally occurring components. In this paper, we focus on one element of the analysis which studies small mineral particles within the sample. In particular, we propose a novel method for automatic comparison of soil particles, using scanning electron microscope images acquired in the secondary electron (SE) or backscattered electron mode. The method involves segmentation of particles, identification of their contours, and extraction of local descriptors from the images, which are then used to train a sample specific and non-specific Gaussian mixture model (GMM). Finally, a likelihood ratio, based on the GMMs, is calculated to assess the odds that two samples originate from the same location. The proposed method, utilizing Root SIFT descriptors extracted from the SE images along the particle contours, achieved an equal error rate of 13.1 % and an area under the curve of 95.2 %, surpassing our baseline method derived from particle size analysis.
Allergic Rhinitis and its Impact on Asthma (ARIA)

Summary Allergic rhinitis is a worldwide health problem and prevalence of the disease is increasing, with economic and social consequences. An initiative from ARIA (Allergic Rhinitis and its Impact on Asthma), an NGO working with the World Health Organization, has forwarded three main developments in the management of allergic rhinitis. Firstly, ARIA has provided new evidence-based guidelines for the treatment of rhinitis that can be used worldwide, including in developing countries. The guidelines were designed to be used by the specialist as well as by the primary caregiver. Secondly, ARIA proposes a new subdivision of allergic rhinitis and suggests evidence-based management of the disease using a stepwise approach. Thirdly, ARIA notes that asthma and rhinitis are common comorbidities and proposes that allergic patients are treated globally to combine treatment of upper and lower airway disease.
Corporate Governance and Firm Performance in Pakistan : Dynamic Panel Estimation

Dr. Muhammad Akbar Senior Lecturer, Birmingham City University, UK muhammad.akbar@bcu.ac. uk Dr. Shahzad Hussain Assistant Professor, Foundation University, Islamabad Email: shahzadhussainpeace@gmail.com Dr. Tanveer Ahmad Faculty, Kohat University of Science and Technology (KUST) Email: tanveerah87@gmail.com Shoib Hassan Assistant Professor/Head of Department, University of Swabi Email: shoaib@uoswabi.edu. pk
World Journal on Educational Technology: Current Issues

The purpose of this research is to obtain the opinions of prospective teachers about increasing the supervisory competencies of teacher candidates with the help of innovative technologies. The study group of the research consists of 125 teacher candidates studying at various universities in Almaty, Kazakhstan. Research data were collected through a semi-structured interview form developed by the researchers. As a result of the research, it has been revealed that the majority of teacher candidates have moderate supervisory competence. The pre-service teachers stated that the course content for increasing their supervisory competencies in the education they received was moderately sufficient. The vast majority of teacher candidates have a positive perspective on increasing their supervisory competencies with the help of technology. The pre-service teachers presented the ability to use technology in supervision; to gain learning skills with technology support; and to gain the ability to understand students ’ interests, abilities and expectations with technology support as suggestions for increasing their supervisory competencies through technology. In addition, providing the ability to use technology in supervision with online education applications and organising teacher training programmes in accordance with the use of technology in supervision competencies are among the suggestions developed by pre-service teachers.
Alport Syndrome: A Comprehensive Review

Alport syndrome is an genetic disorder that distresses the basement membrane of the kidneys and can also impact other organs, such as the cochlea of the inner ear and eyes. It is characterized by mutation causing abnormalities in the collagen within the basement membrane, which has a crucial role in the filtration process of the kidneys. These abnormalities lead to progressive kidney damage and often result in chronic kidney disease. In some cases of Alport syndrome, the abnormal collagen can also affect the cochlea in the inner ear, leading to sensorineural hearing loss. Additionally, changes in the ocular lens, named anterior lenticonus, can occur, causing vision problems. Alport syndrome can manifest differently among individuals, and its severity can vary. Some people may experience mild symptoms, while others may develop more severe kidney problems, including end-stage renal disease, which may need dialysis or kidney transplant. Treatment for Alport syndrome primarily focuses on managing its symptoms and complications. Regular monitoring of kidney function and blood pressure, along with medications to control hypertension, are crucial aspects of the management plan. In cases of severe kidney damage, kidney transplantation may be necessary. As with any medical condition, early detection and intervention can improve results and quality of life for persons with Alport syndrome. Therefore, if there is a family history of the disorder or any concerning symptoms, it is essential to seek medical attention promptly. Genetic testing can help confirm the diagnosis and identify affected family members, allowing for appropriate monitoring and management.
International Journal of Management Sciences and Business Research, Dec-2020 ISSN (2226-8235) Vol-9, Issue 12

The core objective of this paper is to evaluate the role of emotional intelligence on employee productivity and the mediating role of workplace stress. If employees are conscious of their emotional state and sentiments and they are capable of identifying, understanding, and managing them according to the nature of workplace requirements they can perform more effectively and efficiently and it will enhance the productivity of the employees as well. Public sector employees can understand and appreciate the emotions of their colleagues. People having high emotional intelligence have a high level of productivity as compare to those having a low level of emotional intelligence. Good relationships among the employees and top management aid in enhancing employee productivity. For this study 300, public sector employees were selected and regression analysis was used for analyzing the results. From this study, it has been concluded that workplace stress as a mediator does not show any direct impact on employee productivity while employee intelligence and employee productivity have a strong and direct relationship.The public as well as private organizations, academic institutes will be able to recognize the extent of emotional intelligence in workers and how to amend the workplace environment to increase the awareness and level of emotional intelligence among employees to improve employee productivity.
International Journal of Management Sciences and Business Research, July-2019 ISSN (2226-8235) Vol-8, Issue 7

In recent times the interest of the businesses towards social innovation, social entrepreneurship as well as social responsibility grows up more for increasing the positive attitude towards the external stakeholders. With these an increasing interest concerning the ecological wellbeing is considered to be more like a social innovation perspective’s for the business. Organization philanthropy comes under the umbrella term of the organization social responsibility. This basic motivation relying behind this conceptual paper study is to explore the impact of philanthropy acts of the organizations as a social innovation, as well as to link up this with the phenomenon of knowledge management process. The basic motivation behind this study is to highlight that how the transparent hands – A social enterprise managing the knowledge process behind their philanthropic intentions. Separately both of these concepts had a variety of literature, but still the arguments relying behind the knowledge management strategies and social innovation perspective is missing. The theoretical argument support behind the Knowledge management process and philanthropic acts has been explained with the help of self-conceptualized theoretical model. The inspiration behind this study is to put a light towards the emerging phenomena’s that are linked up with the external stakeholders welfare and as well as the internal stakeholders intellectual abilities. In addition, Knowledge management strategies can drive a company or an organization to capitalize on economic potential outside the firm, and enable organizations to detect opportunities for innovation that they otherwise could have missed.
Making the Case: The Women's Convention and Equal Employment Opportunity in Japan

International treaties have had an important impact on national policies affecting women throughout the world. This is true despite women's marginalized status in most national political systems and the treaties' lack of specific formal sanctions. Using the case of the Convention for the Elimination of All Forms of Discrimination Against Women, the Japanese Equal Employment Opportunity Law, and lawsuits brought by Japanese women against the Sumitomo corporations, we develop an explanation of how international treaties can effect change, even for groups with little economic or political power. First, international treaties provide normative resources that allow local activists to describe their actions in terms of moral imperatives rather than selfish interests. Secondly, international treaties provide structural resources to activists, such as periodic reporting requirements that provide opportunities to embarrass slow-moving governments.
The Millikan shaking experiments and high-frequency seismic wave propagation in Southern California

In order to study high-frequency seismic wave propagation, seismic wavefields generated by resonant-shaking experiments of the Millikan Library, on the campus of California Institute Technology (Pasadena, California, USA), were analysed. Because the resonant shaking frequencies are 1.12 Hz (the east-west direction) and 1.64 Hz (the north-south direction), this active-source experiment can provide opportunities for studying high-frequency seismic wave propagation in Southern California. Because they are very narrow frequency band data, the analyses must be quite different from ordinary time-domain analyses. We show, theoretically, that the signals must be dominated by surface waves. Adopting this surface wave assumption, we proceed to make two separate analyses, one on spectral amplitude and the other on phase. We present a new method to derive group velocity from phase based on the cross correlations between the station in the Millikan Library (MIK) and stations in the regional network. Our results support that an active-source experiment by resonant shaking of a building is a feasible approach for high-frequency seismic wave studies. © The Authors 2014. Published by Oxford University Press on behalf of The Royal Astronomical Society.
Structural architecture and Discrete Fracture Network modelling of layered fractured carbonates (Altamura Fm., Italy)

This work focuses on the spacing and height distributions of bed-perpendicular fracture sets present within a carbonate multilayer, and on their effect on the volumetric (P32 and fracture porosity) and hydraulic (correspondent permeability) properties of the rock mass computed after DFN modelling. Results of integrated field and laboratory analyses are consistent with an uneven spacing distribution of Strata-Bound (SB) fractures. The oldest SB fractures formed within individual limestone beds bounded by bed interfaces, which likely acted as mechanical interfaces. Differently, the youngest SB fractures formed within smaller rock volumes bounded by the pre-existing fractures. Non Strata-Bound (NSB) fractures consist on sheared bed-perpendicular fractures, originally compartmentalized within individual beds, which now form incipient strike-slip faults. DFN modelling of representative rock volumes show that both volumetric and hydraulic properties are strongly affected by the two main sets of NSB fractures, which form a conjugate system of faults producing the principal structural anisotropy in the fractured carbonate multi-layer.
Analysis of Length and Weight Data On Three Species of Billfish From the Western Atlantic Ocean

Estimates of parameters of relations among weight, girth, total length, fork length, body length, trunk length, and caudal spread were made for blue marlin, white marlin, and sailfish captured in the western Atlantic. Some sexual differences were found. Estimates of relations between length and weight of fish are important, because weight is often the desired measure when only length measurements are practical. For example, obtaining accurate weights on vessels at sea is difficult, especially when specimens may weigh hundreds of pounds, as is often the case for billfish. Both sport and commercial fishermen are more interested in weight than in length, for game fish records are listed by weight and commercial fishermen are paid by the weight of their catch. Although length measurements of billfish have been taken in numerous ways (Rivas, 1956; Royce, 1957), we chose eye-fork length as the most meaningful, because it involves parts of the body that are least apt to be damaged. In this study we estimated relations between eyefork length and weight for blue marlin (Makaira nigricans), white marlin (Tetrapturus albidus), and sailfish (Istiophorus platypterus) in the western Atlantic Ocean. The relations between girth, eye-fork length, and weight were also estimated, for weight can be more accurately estimated from eye-fork length and girth than from eye-fork length alone. The relations between total length, fork length, body length, caudal spread, and eye-fork length were estimated so that measurements of the first four types could be converted to eye-fork length for comparative purposes. We also examined sexual, spatial, and temporal differences among some of the relations.
EfficientNet-based Diabetic Retinopathy Classification Using Data Augmentation

Diabetic Retinopathy(DR) is an eye disease that leads to visual defects in people who have diabetes. Diabetes also causes the chance of arising other eye problems, including cataracts and glaucoma. Hence detection of symptoms associated with DR at early stages is essential. The DR grading process is complex due to tiny lesions, data inconsistency, and variation within the class. The solution for fine-grained DR grading is finding different features that affect the visual difference, such as Changes in blood vessel diameter, microaneurysms, soft exudates, hard exudates, and hemorrhages. However, small lesions are difficult to distinguish using convolutional neural networks (CNNs). The uneven distribution of DR data causes the model to focus on DR levels with many data, affecting the grading performance. The main aim of this paper is to explore the impact of various deep neural networks to improve scoring performance and address all the above challenges. Finally for improving the model performance, we introduce an image augmentation technique using the DDR dataset and compare the model’s reaction. The results show that data augmentation can significantly improve classification performance compared to baselines.
Subspace mixed dimension codes based on Gabidulin-Bossert multicomponent codes

In this work, subspace mixed dimension codes based on Gabidulin-Bossert multicomponent codes are constructed and their main characteristics are analyzed. An algorithm for constructing a family of such codes is described. The optimal parameters for the highest cardinality are found. Using a three component code, a simple code of the highest cardinality with a large line of subspace distances is constructed. It is shown that at large distances the cardinality of our code practically coincides with the known lower bound. Comparative cardinality estimations for constant and mixed dimension subspace codes showed that cardinality of mixed dimension codes is exponentially higher than cardinality of constant dimension codes. Examples are given.
Citations: Indicators of Quality? The Impact Fallacy

We argue that citation is a composed indicator: short-term citations can be considered as currency at the research front, whereas long-term citations can contribute to the codification of knowledge claims into concept symbols. Knowledge claims at the research front are more likely to be transitory and are therefore problematic as indicators of quality. Citation impact studies focus on short-term citation, and therefore tend to measure not epistemic quality, but involvement in current discourses in which contributions are positioned by referencing. We explore this argument using three case studies: (1) citations of the journal Soziale Welt as an example of a venue that tends not to publish papers at a research front, unlike, for example, JACS; (2) Robert Merton as a concept symbol across theories of citation; and (3) the Multi-RPYS (“Multi-Referenced Publication Year Spectroscopy”) of the journals Scientometrics, Gene, and Soziale Welt. We show empirically that the measurement of “quality” in terms of citations can further be qualified: short-term citation currency at the research front can be distinguished from longer-term processes of incorporation and codification of knowledge claims into bodies of knowledge. The recently introduced Multi-RPYS can be used to distinguish between short-term and long-term impacts.
Effects of aversive conditioning on behavior of nuisance Louisiana black bears

Complaints associated with nuisance activity by Louisiana black bears (Ursus americanus luteolus) in south Louisiana have steadily increased since 2000, demanding intervention by state and federal agencies. As a federally threatened species, Louisiana black bears that are a nuisance require nonlethal management, referred to as aversive conditioning. We used rubber buckshot and dogs to test the effectiveness of management techniques used by the state of Louisiana to deter nuisance bear activity. We captured 11 bears in residential and industrial areas where nuisance bear activity was reported. We fitted bears with radiotransmitting collars and released them within 2 km of the capture site. We conditioned 5 bears using only rubber buckshot and 6 bears with rubber buckshot and dogs. Bears were monitored using telemetry to estimate movements and space use. All bears remained within 2 km of capture sites 2 weeks following release. Ten bears (91%) returned to nuisance behavior within 5 months, regardless of treatment. Mean distance from capture sites did not differ between treatments. Our results suggest that aversive conditioning techniques used in Louisiana to deter bears from nuisance activity have limited short-term effectiveness, independent of practices addressing food source.
Intercomparison of ozone profile measurements from ASUR, SCIAMACHY, MIPAS, OSIRIS, and SMR

The airborne submillimeter radiometer ( ASUR) was deployed onboard the Falcon research aircraft during the scanning imaging absorption spectrometer for atmospheric cartography ( SCIAMACHY) validation and utilization experiment ( SCIAVALUE) and the European polar stratospheric cloud and lee wave experiment ( EuPLEx) campaigns. A large number of ozone profile measurements were performed over a latitude band spanning from 5 degrees S to 80 degrees N in September 2002 and February/March 2003 during the SCIAVALUE and around the northern polar latitudes in January/February 2003 during the EuPLEx. Both missions amassed an ample microwave ozone profile data set that is used to make quantitative comparisons with satellite measurements in order to assess the quality of the satellite retrievals. In this paper, the ASUR ozone profile measurements are compared with measurements from SCIAMACHY and Michelson interferometer for passive atmospheric sounding ( MIPAS) on Environmental Satellite and optical spectrograph and infrared imager system ( OSIRIS) and submillimeter radiometer ( SMR) on the Odin satellite. The cross comparisons with the criterion that the ASUR measurements are performed within +/- 1000 km and +/- 6 hrs of the satellite observations show a good agreement with all the four satellite sensors. The differences in data values are the following: -4 to +8% for ASUR-SCIAMACHY ( operational product, v2.1), within +/- 15% for ASUR-SCIAMACHY ( scientific product, v1.62), up to +6% for ASUR-MIPAS ( operational product v4.61) and ASUR- MIPAS ( scientific product v1-O(3)-1), up to 17% for ASUR- OSIRIS ( v012), and -6 to 17% for ASUR- SMR ( v222) between the 20- and 40- km altitude range depending on latitude. Thus, the intercomparisons provide important quantitative information about the quality of the satellite ozone profiles, which has to be considered when using the data for scientific analyses.