Miracle-dz/UniFAR-FTUs huggingface dataset:
Attempting to maximize singlet fission by tuning the interchromo- phore coupling

The process represents an opportunity to improve the solar energy conversion efficiency in photovoltaic devices. In fact, a sensitizer capable of quantitative singlet fission may generate two charge carrier pairs per absorbed photon in a semiconductor material. The efficiency of singlet fission depends on the interaction between the two chromophores, which in turn is highly sensitive to their relative distance and orientation. Detailed investigations on the optimal mutual dispositions of the two chromophores are therefore strongly needed for the development of singlet fission materials. We propose here a computational strategy to select the most favorable dimeric geometries for singlet fission and to test their suitability by simulating the excited state dynamics. For the first step, we present a diabatization procedure which allows to compute the electronic coupling between the initial and final state of the process in a semiempirical context. For the excited state dynamics simulation, we use a semiclassical trajectory surface hopping approach with “on the fly” semiempirical calculation of electronic energies and wavefunctions [3]. Performing the simulation of the excited state dynamics is particularly important not only to determine the singlet fission quantum yield, but also to identify competing processes and other deficiencies of the selected chromophore [4].
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering

Hierarchical clustering is a fundamental task often used to discover meaningful structures in data. Due to the combinatorial number of possible hierarchical clusterings, approximate algorithms are typically used for inference. In contrast to existing methods, we present novel dynamic-programming algorithms for exact inference in hierarchical clustering based on a novel trellis data structure, and we prove that we can exactly compute the partition function, maximum likelihood hierarchy, and marginal probabilities of sub-hierarchies and clusters. Our algorithms scale in time and space proportional to the powerset of N elements, which is super-exponentially more eﬃcient than explicitly considering each of the (2 N − 3)! possible hierarchies. Also, for larger datasets where our exact algorithms become infeasible, we introduce an approximate algorithm based on a sparse trellis that out-performs greedy and beam search baselines.
Separ: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees

Crowdworking platforms provide the opportunity for diverse workers to execute tasks for different requesters. The popularity of the ”gig” economy has given rise to independent platforms that provide competing and complementary services. Workers as well as requesters with specific tasks may need to work for or avail from the services of multiple platforms resulting in the rise of multi-platform crowdworking systems. Recently, there has been increasing interest by governmental, legal and social institutions to enforce regulations, such as minimal and maximal work hours, on crowdworking platforms. Platforms within multi-platform crowdworking systems, therefore, need to collaborate to enforce cross-platform regulations. While collaborating to enforce global regulations requires the transparent sharing of information about tasks and their participants, the privacy of all participants needs to be preserved. In this paper, we propose an overall vision exploring the regulation, privacy, and architecture dimensions for the future of work multi-platform crowdworking environments. We then present Separ, a multi-platform crowdworking system that enforces a large sub-space of practical global regulations on a set of distributed independent platforms in a privacy-preserving manner. Separ, enforces privacy using lightweight and anonymous tokens, while transparency is achieved using fault-tolerant blockchain ledgers shared among multiple platforms. The privacy guarantees of Separ against covert adversaries are formalized and thoroughly demonstrated, while the experiments reveal the efficiency of Separ in terms of performance and scalability.
IMPACT OF PROCESS VARIATION ON MULTIPLE-TUBE GAA- CNTFETS

As miniaturization of conventional MOSFETs leading to its scaling limits, novel nano-scale devices are studied and developed. To improve Ion/Ioff ratio gate controllable wrap-around gate CNTFETs are recently investigated. The GateAll-Around (GAA) CNTFET is one of the best types of CNTFETs which gives the environment for technological scaling beyond 10 nm because of its electrical and physical properties. In nano-scale device design, ultrathin body with GAACNTFET is an ideal choice to improve the performance. As device dimensions minimizes, new processing steps increases the source of variation. To address these issues during scaling, there is a necessity for device engineering and new nano devices based on different principles of physics. In this paper, we have studied the effect of diameter, chiral vector, Gate oxide thickness, different dielectric material constant, number of CNTs on threshold voltage (Vth). It is observed that chiral vector (n,0) with increasing values of n is more sensitive towards reduction in threshold voltage and also in our simulation it is analysed that when the number of CNTs are equal to N, drain current increases in the same order. In addition to this, the effects of quantum capacitance on these parametric variations have also been plotted. From the simulation, we analysed that chiral vector is very crucial parameter for CNTFET devices to control threshold voltage of the transistor.
OF CORROSION-DAMAGED COLUMNS WITH FRP WRAPS

Corrosion of reinforcement in bridge piers is encouraged by chloride contamination from exposure to marine environment and from deicing salts used in bridges during winter. Because corrosion products generally occupy greater volume than the original material, expansive forces are generated in concrete leading to spalling of the cover and further acceleration of the reinforcement disintegration. Jacketing of such structures by fiberreinforced composite sheets is an effective remedy, not only as a means of slowing down the rate of the reaction, but also by confining the concrete core thereby imparting to it ductility and strength. This paper presents results of an experimental parametric study of this method as a repair alternative for corroded structures. Several smallsize concrete columns with various reinforcement configurations were subjected to accelerated corrosion conditions in the laboratory. After a target level of steel loss was attained the columns were repaired using a variety of repair alternatives. Most of the repair schemes considered included jacketing the damaged specimens with glass-fiber wraps, in combination with grouting the voids between the jacket and the original lateral surface of the specimen with either conventional or expansive grouts. To protect the glass fiber material from exposure to alkali activity of the fresh grout, and to reduce the supply of oxygen and water to the mechanism of corrosion, different types of diffusion barriers were considered in the study. The efficacy of each repair system was evaluated by (1) assessing the postrepair corrosion resistance of the specimens under repeated exposure to accelerated conditions; and (2) the mechanical strength and ductility enhancement under concentric compression loading.
The Impact of Knowledge Sharing on Green Innovation in Jordanian Industrial Firms

This study primarily aimed to investigate green innovation in the context of industrial firms in Jordan, and to empirically examine the effects of knowledge sharing dimensions of knowledge donating, and knowledge collecting on green innovation. Accordingly, the data was collected through the use of a questionnaire survey distributed to 357 managers of industrial firms in Jordan, particularly those located in Zarqa City. From the 357 questionnaire surveys distributed, 190 were retrieved and deemed usable for analysis. The data analysis was conducted using IBM SPSS Statistics 20 and was based on the obtained findings; knowledge sharing has a positive and significant relationship with green innovation. However, the knowledge donating dimension of knowledge sharing was found to have an insignificant effect on green innovation. Based on these results, the researcher recommends that industrial firms in Jordan concentrate on the dimensions examined in this study, so that their green innovation culture is promoted, and green innovation practice is enhanced.
Age Hardening Process Modeling and Optimization of Aluminum Alloy 8011/SiC Particulate Composite for Brake Drum Application using RSM and ANN

Most conventional ceramic based aluminum metal matrix composites (MMCs) are either heavy, costly or combination of both. In order to reduce cost and weight, while at the same time maintaining quality, silicon carbide particles (SiCp) was used with aluminum alloy 8011 to produce MMC for brake drum application and other engineering uses. The aim of this research is to model the age hardening process of the produced composite using response surface methodology (RSM) and artificial neural network (ANN), for optimization of age hardening process parameters. The results show that ANN modeled the age hardening data excellently and better than RSM with a correlation coefficient of experimental response with ANN predictions being 0.9921 as against 0.9583 for the RSM. The optimized process parameters were in very close agreement with the experimental values with the maximum relative error of 1.2%, minimum of 0.35%.
A Novel Computer-Assisted Workflow for Treatment of Osteochondral Lesions in the Knee

Despite a slow uptake, there have been considerable technological developments in ComputerAssisted Orthopaedic Surgery (CAOS), and these systems are now becoming more prevalent, especially in knee arthroplasty (Picard et al. 2019). CAOS systems have the potential to improve the accuracy and repeatability of surgical procedures by means of digital preoperative planning and intraoperative tracking of the patient and surgical instruments. Besides improving the outcome of classical orthopaedic procedures, these systems also allow the design of new types of surgical interventions, based on intraoperative quantitative data and tailored to the needs of each patient. One area where the accuracy and repeatability of computer-assisted interventions could prove especially beneficial is the treatment of osteochondral defects (OCD). OCDs represent a common problem in the patient population, and are often a cause of pain and discomfort (Solheim et al. 2016). The use of synthetic implants is a valid option for patients who cannot be treated with regenerative methods (Bollars et al. 2012; Fuchs et al. 2018), but the outcome can be negatively impacted by incorrect positioning of the implant and lack of congruency with the surrounding anatomy (Becher et al. 2008; Martinez-Carranza et al. 2013). In this paper, we present a novel computer-assisted surgical workflow for the treatment of osteochondral defects. The software we developed automatically selects the implant that most closely matches the patient’s anatomy and computes the best pose. By combining this software with the existing capabilities of the NavioTM surgical system (Smith & Nephew inc.), we were able to create a complete workflow that incorporates both surgical planning and assisted bone preparation. Health
Correlation between physical and chemical parameters of water and biotic indices: The case study the White Drin River basin, Kosovo

The major impacts on aquatic ecosystems worldwide caused by land use lead to changes in their natural conditions and limitation of water use for various needs. This paper presents the results of the study of the physical and chemical parameters and macroinvertebrate assemblage in the White Drin River (or: the Drim River, Alb. the Drini i Bardhë River) basin, the largest in Kosovo. Macroinvertebrate sampled at 11 sites in the river resulted in 5946 collected benthic organisms, which in taxonomic terms belong to 12 orders and 51 families. Of the total number of organisms, 72.28% were Insects, 25.39% Amphipoda crustaceans and 2.33% were Annelide worms and Mollusk. The used biotic indices Biological Monitoring Working Party (BMWP), Ephemeroptera, Plecoptera, and Trichoptera (EPT), average score per taxon (ASPT) and Stroud Water Research Center (SWRC) classify water quality in excellent category in the sampling site S1 near the source of the White Drin River, whereas in other sampling sites, as a result of pollution, water quality varies on category II–IV. The Pearson's correlation analyses shown that the physical and chemical parameters affect the water quality and the composition of macroinvertebrates. Our results show that the parameters that adversely affect the BMWP, EPT and ASPT biotic indices as well as the Shannon–Wiener, Mergalef and Menhinik diversity indices are: pH, electrical conductivity (EC), total suspended solids (TSS), nitrates (NO3) and chlorides (Cl). We can conclude that the anthropogenic impact on White Drin basin affects the physical, chemical and biological parameters of the water therefore these parameters should be constantly included in Biomonitoring and Management plans for water resources in Kosovo.
Understanding Resource‐Conserving Behaviors Among Fishers: Barotrauma Mitigation and the Power of Subjective Norms in Florida's Reef Fisheries

Understanding the factors underlying fishers’ decisions to adopt resource-conserving behaviors is important to successful fisheries management. This study used an online survey to explore factors motivating decisions to use alternative barotrauma mitigation measures (venting and descending) to improve discarded reef fish survival across recreational, charter, and commercial fishers in the state of Florida. A majority of respondents (66–69%) had experienced fish showing gross signs of barotrauma, and more than half of those (52–69%) reported using barotrauma mitigation most of the time when needed. Use of mitigation by other fishers was perceived to be lower (30–57%) and to have declined after removal of a venting tool requirement. Overall, respondents were more likely to have used venting tools (96–99%) than fish descenders (14–27%), and most respondents (81–86%) intended to use venting tools in the future. The theory of planned behavior was used to predict and explain intentions to use venting tools and/or fish descenders based on three variables: attitudes toward the method, subjective norms (i.e., social pressure), and perceived control (i.e., confidence in their ability to use the method). Fishers across sectors perceived venting tools and descenders to be similarly effective in improving released fish survival, but they felt that descenders were more time consuming, difficult to use, and expensive. Subjective norms and perceived control were stronger for venting tools than for descenders. Overall, subjective norms had the strongest influence on fishers’ intention to use either form of mitigation; attitudes and perceived control were also important in the case of descenders. Outreach efforts focusing on re-enforcing subjective norms should have the greatest impact on increasing fishers’ use of barotrauma mitigation methods. Comparatively greater efforts are required to increase the use of descending gear than to increase the use of venting, and care should be taken to avoid strategies that could result in an overall decline of barotrauma mitigation. *Corresponding author: crandallchelsey@gmail.com Received September 6, 2017; accepted January 10, 2018 North American Journal of Fisheries Management © 2018 American Fisheries Society ISSN: 0275-5947 print / 1548-8675 online DOI: 10.1002/nafm.10041
What Drives Mobile Banking in the Digital Age? An Empirical Examination among Young Consumers

This study aims to examine the factors that encourage young consumers who intend to adopt mobile banking (m-banking) facilities in the current digital era. The empirical testing of the intention of m-banking adoption is based on the perspective of users who are included in the criteria of young consumers in developing countries. Young consumers in developing countries are potential markets for m-banking services in the digital era that demand the effectiveness and efficiency of banking transactions. These young consumers tend to have high mobility and are more aware of the development of m-banking technology to fulfil their needs and wants using easy, fast, and practical banking transactions. By using a purposive sampling technique, as many as 290 young consumers (18-30 years old) of m-banking in Indonesia were chosen as respondents of this study. The data is analysed using the structural equation modeling (SEM) technique. The results showed that all factors that were thought to have a positive effect on the intention to use m-banking among young consumers supported the empirical data. The antecedent factors tested included attitude, perceived usefulness, service quality, system quality, and trust. Internal factors of m-banking users, namely attitude, perceived usefulness, and trust have a greater influence on the intention to use m-banking than external factors. The external factors are in the form of supports provided by banks to m-banking users, namely service quality and system quality.
Finite-element modeling of the semi-elliptical fatigue crack growth using damage accumulation approach

Simulation of surface fatigue crack growth for residual life assessment of structural elements is almost entirely based on the application of Linear Elastic Fracture Mechanics (LEFM). Thereby it is generally assumed that the crack front does not essentially change its shape, although it is not always confirmed by experiment. Furthermore, LEFM approach ignores plastic strain one of the leading factors associated with the material degradation and fracture. Also, evaluation of stress intensity factors meets difficulties associated with changes in the stress state along the contour of the crack front. Approach using Strain-life criterion and based on the finite element modeling of damage accumulation was proposed for simulation the evolution of surface cracks. It takes into account the crack closure effect, the nonlinear behavior of damage accumulation and material compliance increasing due to the damage advance. Suggested damage accumulation technique was applied to the semi-elliptical crack growth from the initial defect in the steel compact specimen. The simulation results are in good agreement with the experimental data.
Factors related to attitudes and beliefs toward visiting in intensive care unit from the view points of nurses working in ICU

Introduction and aim: Hospitalization in the intensive care unit (ICU) creates acute physical and psychological stress in patients. It is possible to meet the emotional and psychological needs of patients with the participation of families, which is considered one of the REPORT 24(104), July August, 2020 Medical Science ISSN 2321–7359 EISSN 2321–7367
A COMPARATIVE EVALUATION OF NoSQL DATABASE SYSTEMS

With the quick emergence of the largest web sites in the mid-2000s, and the adoption of the cloud-based computing model, traditional relational database systems could not keep up with the requirements of high throughput and distributed operation. As a result, major web companies developed their own, inherently distributed, lightweight solution to act as a database back-end for their services. These developments spun interest in the open source world and numerous products appeared under the term NoSQL – not only SQL. In the present work we compare a few NoSQL systems (MongoDB, Cassandra, Riak) according to a wide set of aspects. We conclude, that while NoSQL systems oﬀer much less functionality than traditional relation database management systems, especially in transaction isolation and scan operations, they can be successfully used when complex database logic is not, but large-scale, distributed operation is an objective.
Molecular Phylogenetics of the Neotropical Electric Knifefish Genus Gymnotus (Gymnotidae, Teleostei): Biogeography and Signal Evolution of the Trans-Andean Species

Gymnotus, the banded electric knifefish, is a diverse genus with a range that extends from Argentina to southern Mexico and includes species distributed both east (cis-Andean) and west (trans-Andean) of the Andes. Each Gymnotus species exhibits a distinctive electric organ discharge (EOD), used for communication and navigation. Here, I present a new molecular phylogenetic hypothesis for 35 Gymnotus species based on two mitochondrial (cyt b and 16S) and two nuclear genes (RAG2 and Zic1). I found that the trans-Andean species are distributed in four distinct lineages with varying amounts of divergence from their closest cis-Andean sister taxa. I suggest that not all trans-Andean species evolved as a result of the orogeny of the Andes. I evaluate EOD phase number evolution in Gymnotus and find a trend for reduced phase numbers in both cisand trans-Andean regions. Finally, I suggest hypotheses to account for the patterns of EOD phase number diversification.
Issues in Information Systems

As the Internet of Things (IoT) becomes ubiquitous and cybersecurity attacks rapidly evolve, IoT devices must be secured. Their infection can lead to compromised networks, stolen information, service disruptions, and botnet attacks. Botnet attacks, such as Distributed Denial of Service (DDoS), strengthen with larger numbers of devices and IoT devices make great targets for this reason. As IoT devices grow in number, the strength and risk of these massive attacks grow. Infamous botnet attacks, such as Mirai, have proven this to be a serious threat. IoT security faces unique challenges including detection difficulties, device limitations, and user attitudes and education. This paper reviews and analyzes 21 articles providing information on tools and techniques for securing IoT devices against these threats. A multi-layer approach to IoT-botnet detection and prevention is suggested consisting of: the outer layer consisting of ISP architecture; the middle layer consisting of advanced detection methods and DDoS detection and mitigation; and the inner layer consisting of user attitudes, education, and security best practices. By addressing security challenges at multiple points along the botnet lifecycle and within each layer, our proposed approach provides a holistic strategy for detecting and preventing botnet attacks.
THE ROLE OF SYNDECAN-4 IN MUSCLE GROWTH AND DEVELOPMENT

s 1. Song, Y. , McFarland, D.C. and Velleman, S.G. 2010. The role of syndecan-4 cytoplasmic domain in muscle growth and development. Poult. Sci. 89 (E-suppl. 1): 198. 2. Song, Y. and Velleman, S.G. 2009. The role of syndecan-4 covalently attached chains in muscle growth and development. Poult. Sci. 88 (Suppl.1): 20.