Miracle-dz/UniFAR-FTUs huggingface dataset:
The Web Impact Factor: A Survey of Some Iranian University Web Sites

In this paper, we define the Web Impact Factor (WIF) with explaining its history, advantages and disadvantages. The Web Impact Factor (WIF) is a quantitative tool for ranking, evaluating, categorizing, and comparing web sites, web pages, top-level domains and sub-domains. In addition, we discuss briefly about the differences between the Web Impact Factor and the Journal Impact Factor (JIF), and the utilities of hyperlinks and the WIF in Web indexing. As a sample, we calculated the WIFs of 15 Iranian universities, and we found that the web sites for Iranian universities have a low inlink WIF. This indicates that for linguistic reasons, Iranian (Persian) sites may not receive and attract the attention that they deserve from the World Wide Web. Moreover, Shahid Beheshti University web site with a WIF of 12/33 had the highest impact factor and the University of Tehran with 9750 web pages had the highest web size between Iranian university web sites.
Signed Network Representation by Preserving Multi-Order Signed Proximity

Signed network representation is a key problem for signed network data. Previous studies have shown that by preserving multi-order signed proximity (SP), expressive node representations can be learned. However, multi-order SP cannot be perfectly encoded using limited samples extracted from random walks, which reduces effectiveness. To perfectly encode multi-order SP, we have innovatively integrated the informativeness of infinite samples to construct high-level summaries of multi-order SP without explicit sampling. Based on these summaries, we propose a method called SPMF, in which node representations are obtained using low-rank matrix approximation. Furthermore, we theoretically investigate the rationality of SPMF by examining its relationship with a powerful representation learning architecture. In sign inference and link prediction tasks with several real-world datasets, SPMF is empirically competitive compared with state-of-the-art methods. Additionally, two tricks are designed for improving the scalability of SPMF. One trick aims to filter out less informative summaries, and another one is inspired by kernel techniques. Both tricks empirically improve scalability while preserving effective performance. The code for our methods is publicly available.
Elbow Dislocations in the National Football League: Epidemiology and Management

Background Currently, it is not known how the combined osseous and ligamentous injury of a traumatic elbow dislocation in a National Football League (NFL) athlete affects management and return to play. In this study, we aimed to describe the epidemiology, management, and return to play for elbow dislocations in NFL athletes. Methodology This is a descriptive observational study. A retrospective review of all elbow dislocations between 2000 and 2014 (15 seasons) was performed using the NFL Injury Surveillance System (NFLISS). Results Over 15 NFL seasons, 82 elbow dislocations were recorded in the NFLISS. Among players who reported surgery (n = 5), players missed an average of 73.8 days of play. Among those who did not report surgery, players missed an average of 36.1 days. The overall incidence was 0.26 dislocation events per 10,000 athlete exposures. The majority of these injuries occurred during regular-season games, in defensive linebackers and linemen, during tackling contact with another player, and most commonly on a running play. Conclusions This study demonstrates that an elbow dislocation is not a career-ending or season-ending injury in an NFL cohort. Information regarding incidence, positions affected, whether surgical management is utilized, and return to play will help players who sustain and physicians who treat these injuries in elite football athletes understand the impact of their injuries.
Complementarity Between Labor and Energy: A Firm-Level Analysis

This paper extends the literature on the potential negative employment effect of environmental policy by bringing to the fore a key factor that directly regulates its magnitude: the elasticity of substitution between labor and energy. Using firm-level data from the French manufacturing sector and addressing endogeneity concerns, we find strong evidence that points to strong complementarity between labor and energy. However, we find substantial heterogeneity in input substitution capacity across firms. Our findings suggest that the negative employment effects of rising energy prices are largely driven by firms with limited substitution capacity, while those with high input substitutability are hardly affected. Further, we show that high energy prices have negative impacts on the R&D activities among firms with low substitutability, which has implications for their long-term growth prospects.
An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network

An integration scheme for sideslip angle estimation is proposed where a deep neural network and a simple kinematics-based model are combined in an unscented Kalman filter. The deep neural network contains two modules: a sensor filtering network designed to overcome the limitations of the kinematics-based model and a deep ensemble network to estimate the sideslip angle and its uncertainty. Both networks use recurrent neural networks with long short-term memory to analyze sequential sensor data. The networks were trained using only input signal sets that can be obtained from on- board sensor measurements. The filtering network reduces the noise and bias of the input signals to match the model used for the unscented Kalman filter. Next, the initial estimate and its uncertainty obtained from the deep ensemble network are utilized as a new measurement in the unscented Kalman filter, inducing an adaptive measurement variance. The algorithm was verified through both simulation and experiment, and the results demonstrate the effectiveness of the proposed algorithm.
Soil test based fertilizer recommendation under integrated plant nutrition system for potato (Solanum tuberosum. L) in hilly tracts of Nilgiris district

Soil test based fertilizer prescription equations under Integrated Plant Nutrition System (STCR-IPNS) were developed for potato on Ultisols. Making use of these equations, nomograms were formulated for a range of soil test values and desired yield targets of potato. These equations were validated on farmers’ fields and it was found that the per cent achievement of the targets aimed was more than 90 and STCR - IPNS for 40 t ha−1 recorded relatively higher response ratio (38.05 kg kg−1) and benefit - cost ratio (15.3) over other treatments indicating the validity of the equations for prescribing fertilizer doses for potato.
The perception of small and micro enterprises in Durban central business district towards financial planning

Poverty reduction and employment creation are some of the top United Nations Millennium Development goals as per the UN Summit of 2000. In both the developed and developing world this can best be achieved through an increase in employers. In the developing world, especially in Africa, small, medium and micro enterprises have been found to be the engine driving employment creation, economic development and poverty reduction. Having mentioned the crucial role, small and micro enterprises play in the economy and wellbeing of the people, their sustenance, success and continuity are of vital importance. Many small and micro businesses are started every year but most of them fail in their infancy due to a number of problems they face, especially lack of financial planning knowledge which is the main reason for embarking on this study. The main purpose of this study is to investigate the reality of financial planning knowledge among small and micro enterprises, especially from the perspective of owner-managers. An exploration is undertaken to see and understand their perception and attitude towards financial planning processes. The study proposes to find out what financial planning knowledge the owner-manager has tools they are currently employing in their businesses and whether or not, and to what extent do, they implement the advice from financial experts. The research wants to further explore what financial information is collected, recorded, how it is used (or not) to make business decisions and evaluate the enterprise’s success or failure in relation to what they know, use and implement as far as financial planning is concerned. The study used a quantitative technique to collect data and a questionnaire was personally administered to 100 respondents in the Durban CBD including Warwick Triangle and the response rate was 100%. Descriptive and inferential statistics were used to analyse the data. The overall findings of the study were that most of the small and micro enterprises do not understand what financial planning is or what is involved in financial planning hence their inability to properly plan their finances and manage their businesses accordingly. Some of them were found to be able to calculate a mark-up on their selling price but no records were kept. For those who have a chance to get some advice from a financial expert, do implement the advice given, but in their own way they see suitable for their particular businesses. However, they do not implement the exact advice as given only in the form they see fit for their enterprises.
MCC950, the NLRP3 Inhibitor, Protects against Cartilage Degradation in a Mouse Model of Osteoarthritis

Osteoarthritis (OA), characterized by chronic systemic low-level inflammation and cartilage degeneration, is a type of arthritis closely associated with aging. Inflammation and aging play a pivotal role in the occurrence and progression of OA. NLRP3 inflammasome is involved in many inflammatory and aging diseases, and NLRP3 inhibitor MCC950 has anti-inflammatory and antisenescence effects on some diseases such as Alzheimer's disease. In the present study, we found that NLRP3 protein was upregulated in human and mouse OA cartilage. Moreover, NLRP3 and Caspase1 expression induced by IL-1β in chondrocytes was blocked by MCC950. In addition, MCC950 inhibited the expression of inflammatory mediators, matrix-degrading enzymes, senescence marker protein P16 (INK4A), and β-galactosidase, as well as excessive production of ROS. Meanwhile, MCC950 promoted autophagy-related protein expression and autophagy flux under the inflammatory condition. However, autophagy inhibitor 3-MA reversed anti-inflammatory and anticatabolic effects of MCC950. In in vivo experiments, intra-articular administration of MCC950 further showed its protective effect on cartilage degeneration. Bioinformatic analysis and in vitro experimental results revealed that MCC950 might play a protective role in cartilage by regulating Nrf2/HO-1/NQO1, PI3k/Akt/mTOR, P38/MAPK, and JNK/MAPK pathways. In conclusion, our work demonstrated that NLRP3 inhibitor MCC950 might serve as a promising strategy for OA treatment.
Synthesis and Characterization of Bis-Triazolyl-Pyridine Derivatives as Noncanonical DNA-Interacting Compounds

Besides the well-known double-helical conformation, DNA is capable of folding into various noncanonical arrangements, such as G-quadruplexes (G4s) and i-motifs (iMs), whose occurrence in gene promoters, replication origins, and telomeres highlights the breadth of biological processes that they might regulate. Particularly, previous studies have reported that G4 and iM structures may play different roles in controlling gene transcription. Anyway, molecular tools able to simultaneously stabilize/destabilize those structures are still needed to shed light on what happens at the biological level. Herein, a multicomponent reaction and a click chemistry functionalization were combined to generate a set of 31 bis-triazolyl-pyridine derivatives which were initially screened by circular dichroism for their ability to interact with different G4 and/or iM DNAs and to affect the thermal stability of these structures. All the compounds were then clustered through multivariate data analysis, based on such capability. The most promising compounds were subjected to a further biophysical and biological characterization, leading to the identification of two molecules simultaneously able to stabilize G4s and destabilize iMs, both in vitro and in living cells.
Vitamin D Serum Levels in Subjects Tested for SARS-CoV-2: What Are the Differences among Acute, Healed, and Negative COVID-19 Patients? A Multicenter Real-Practice Study

Vitamin D might play a role in counteracting COVID-19, albeit strong evidence is still lacking in the literature. The present multicenter real-practice study aimed to evaluate the differences of 25(OH)D3 serum levels in adults tested for SARS-CoV-2 (acute COVID-19 patients, subjects healed from COVID-19, and non-infected ones) recruited over a 6-month period (March–September 2021). In a sample of 117 subjects, a statistically significant difference was found, with acute COVID-19 patients demonstrating the lowest levels of serum 25(OH)D3 (9.63 ± 8.70 ng/mL), significantly lower than values reported by no-COVID-19 patients (15.96 ± 5.99 ng/mL, p = 0.0091) and healed COVID-19 patients (11.52 ± 4.90 ng/mL, p > 0.05). Male gender across the three groups displayed unfluctuating 25(OH)D3 levels, hinting at an inability to ensure adequate levels of the active vitamin D3 form (1α,25(OH)2D3). As a secondary endpoint, we assessed the correlation between serum 25(OH)D3 levels and pro-inflammatory cytokine interleukin-6 (IL-6) in patients with extremely low serum 25(OH)D3 levels (<1 ng/mL) and in a subset supplemented with 1α,25(OH)2D3. Although patients with severe hypovitaminosis-D showed no significant increase in IL-6 levels, acute COVID-19 patients manifested high circulating IL-6 at admission (females = 127.64 ± 22.24 pg/mL, males = 139.28 ± 48.95 ng/mL) which dropped drastically after the administration of 1α,25(OH)2D3 (1.84 ± 0.77 pg/mL and 2.65 ± 0.92 ng/mL, respectively). Taken together, these findings suggest that an administration of 1α,25(OH)2D3 might be helpful for treating male patients with an acute COVID-19 infection. Further studies on rapid correction of vitamin D deficiency with fast acting metabolites are warranted in COVID-19 patients.
Revisiting research on IJV exit: More questions than answers

While International Joint Ventures (IJVs) are a well acknowledged and frequently implemented organizational mode, especially with regard to international market entry strategies, they are also prone to conflicts of interests, inefficiencies, and unintended termination. Accordingly, past research has been dominated by studies that attempted to identify success factors for managing IJVs based upon archive data. Success respectively failure is frequently defined based upon the fact that IJVs disappeared from the data-set. As such, exit became the epitome for closing down ineffective, failing IJVs although withdrawal may in some cases a sign of success if, for instance, the initial objectives of partners have been achieved. Beyond such misconceptions there is no stock-take of what is known about the different types, measures, contexts, and determinants of IJV exit as to take research to the next stage. This paper fills this research gap by comprehensively analyzing the IJV exit literature as an integral part of IJV research, focusing on studies that either apply IJV termination or IJV longevity as a measure of IJV exit. A systematic overview of the contexts and determinants that influence IJV exit is provided and major implications of our findings for directing future research are discussed.
Efficacy of weed control practices in soybean crop production.

The effect of different weed control methods on weed population, yield and yield attributes of soybean was studied at TNAU, Coimbatore, using pre-emergence application of pendimethalin, fluchloralin and alachlor each @ 1.0 kg/ha as well as integrated application of pre-emergence herbicide+one hand weeding at 35 DAS, and two hand weedings at 20 and 35 DAS. Alachlor @ 1.0 kg/ha+one hand weeding at 35 DAS was found to be the best treatment followed by pendimethalin @ 1.0 kg/ha+one hand weeding at 35 DAS and two hand weedings at 20 and 35 DAS treatments. The quality parameters of soybean seeds were not affected by weed control practices.
The impact of augmented reality on cognitive load and performance: A systematic review

Background: Previous studies on augmented reality-enriched learning and training indicated conflicting results regarding the cognitive load involved: some authors report that AR can reduce cognitive load, others have shown that AR is perceived as cognitively demanding and can lead to poorer performance. Objectives: The aim of this study is to systematically analyse previous research on AR and cognitive load, including performance, and thus to be able to contribute to answering the question of the impact of AR on cognitive load when used in learning environments. Methods: This study applied the systematic review method. A total of 58 studies were identified and analysed using rigorously defined inclusion and exclusion criteria. The results are now reported as a synthesis. Results and Conclusions: Compared to other technologies, AR seems to be less cognitively demanding and also leads to higher performance. However, these results are based on media comparison studies that have been criticized for years. The spatial AR type is better compared to see-through AR. However, the latter can be improved by visual cues and the addition of learning activities, such as value-added studies have revealed. Major takeaways: The essential findings of this study are that the technology used, for example, AR glasses, can unnecessarily increase cognitive load and that still many studies focus on the comparison of AR with more traditional media. Less studies applied alternative research designs, for example, value-added comparisons. However, such designs are better suited to investigate design principles for AR-enriched learning environments, which can then in turn reduce cognitive load as well as positively affect performance.
A laboratory and numerical investigation of steady-state, two-regime, radial flow to a well from rough, horizontal, deformable fractures

A numerical and laboratory study was undertaken to obtain a better understanding of the production-drawdown response of a well completed into an aquifer whose primary flow conduits are horizontal fractures. -- In the first phase of the study, a finite-element model was developed to evaluate the effects of fracture aperture and relative roughness on the nature of flow within the fractures and the compounding effect of the fractures closing in response to drawdown-induced increases in effective stress. The flow code of the model simulates steady-state, two-regime (i.e., both laminar and turbulent) radial flow in a series of horizontal, rough fractures of fixed aperture using empirically derived flow laws from the literature. The deformation code models the rock as an elastic medium and follows a user-defined constitutive curve for the stress-deformation behavior of the fractures in order to simulate their closure under the fluid pressure distribution determined by the flow routine. A coupled solution, using fluid pressure as the linking parameter, is obtained by iterating between the two routines. -- For the laboratory phase of the investigation, a concrete cylinder 1.5 m in diameter by 3.0 m high was fabricated with a single, cast-in-place horizontal fracture. More than 60 tests involving constant discharge, variable discharge, and constant injection rate were conducted on the physical model. In addition to flow rate, the laboratory arrangement permitted the varying of boundary fluid pressures, the load applied to the top of the cylinder, and the wellbore size. -- The numerical model closely simulated the results of tests when the fracture was open (i.e., with no contact area) using the true geometric characteristics of the fracture. When the fracture surfaces were in contact, however, the closest simulations were obtained using an "effective aperture" in the range of 0.3-0.8 of the best estimate of the true geometric aperture. -- The results of this investigation demonstrate that non-linear flow in fractures within a few tenths of a meter of the wellbore can comprise a significant portion of the total drawdown in a well. The results also indicate that the coefficient of the well loss term in the classical step-drawdown equation is not a constant (as usually assumed) but increases as the discharge rate increases. One of the more practical findings of this study is that reaming some wellbores in fractured rock aquifers could minimize well losses and lead to improved efficiency in their performance. -- Key words: aquifer evaluation; aquifer testing; dewatering; drawdown; fracture permeability; groundwater flow; groundwater movement; mine drainage; turbulent flow; well hydraulics; well testing; wells.
Dual Corneal-Graft Rejection after mRNA Vaccine (BNT162b2) for COVID-19 during the First Six Months of Follow-Up: Case Report, State of the Art and Ethical Concerns

Present mass vaccination against Coronavirus Disease-19 (COVID-19) is the most widely used health policy and the most promising approach to curb the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic globally. However, new side effects are emerging from the mass vaccination not described during the experimental stages. In the present study, we discuss a case of acute corneal graft rejection, which has occurred 25 years after transplantation and 13 days after the administration of the BNT162b2 vaccine (Comirnaty, BioNTech/Pfizer), which was followed-up for a period of six months. In this period, the corneal inflammation appeared twice but was successfully managed with topical therapy and supplementation of Vitamin D. A risk of corneal graft rejection must be included in the list of potential vaccine complications, in order to inform the transplanted patient to undergo a preliminary and a follow-up ocular examination, and eventually to include corneal graft in the list of contraindications to vaccination.
A survey on variational characterizations for nonlinear eigenvalue problems

Variational principles are very powerful tools when studying self-adjoint linear operators on a Hilbert space H. Bounds for eigenvalues, comparison theorems, interlacing results, and monotonicity of eigenvalues can be proved easily with these characterizations, to name just a few. In this paper we consider generalizations of these principles to families of linear, self-adjoint operators depending continuously on a scalar in a real interval.