Miracle-dz/UniFAR-FTUs huggingface dataset:
Studies of site-specific DNA double strand break repair in plants

The maize transposon Ac/Ds transposes by a "cut and paste" mechanism, leaving a site-specific DSB at the Ds locus for repair. Previous studies in maize and Arabidopsis showed that Ac/Ds excision can stimulate homologous recombination between tandem duplicated repeats and between ectopic homologies. In this study, we tested the efficacy of such Ac/Ds excision-induced homologous recombination to achieve gene targeting in Arabidopsis. A defective visual-selective dual marker harboring Ds element is transformed into Arabidopsis as target locus, and donor homology is provided by Agrobacterium-mediated T-DNA by floral dipping. The DSB inducer Ac is either first crossed into target lines or co-transformed with donor T-DNA, and s everal independent germinal recombinants have been recovered from both strategies wit h gene targeting frequency of 0.3-2.0X10 . We also attempted gene targeting by ectopic recombination, with donor homology provided by the concomitant integrated T-DNA copies i n genome. With this approach the gene targeting frequency turns out less t han 6.7X10. Our results suggest that Ac/Ds transposon-induced homologous recombination may provide an alternative gene targeting strategy. The implications of the se r sults for plant gene targeting are discussed.
Emotional Intelligence and Employee Performance

Effective management is the hallmark of any successful organization in this competitive world. Today a manager’s role is more complicated as he has to face many different challenges. The effective employees’ give the organization cutting edge. A successful manager is the one who can create the team spirit required, having participative management, managing change effectively with enhanced employee involvement to attain the organizational objectives by understanding and managing his own as well as others emotions. Emotional intelligence can help managers and other employees at various levels to manage his own emotions and give a better performance to the organization. The empirical study based on secondary data was undertaken to study the relationship between emotional intelligence and performance of employees.
Tooth shade analysis and selection in prosthodontics: A systematic review and meta-analysis

Aim: To evaluate the methods of the dental shade selection and provide a summary of different factors affecting the shade selection. Design and Setting: The systematic review and meta-analysis. Materials and Methods: The electronic search of the peer-review articles between 2002 and 2018 was carried out the by using the PRISMA guidelines. A total twenty-one studies related to the visual shade methods, instrumental shade methods, and the factors affecting the shade selections was evaluated. The search strategy was based on the PICOS framework. Statistical Analysis: There was statistically significant heterogeneity (Q = 1038.1518, df = 20, and P < 0.0001). The statistics of fixed-effect model reported an MD of − 0.0970 (95% CI = −0.1391, −0.0549). The random-effect model reported an MD of − 0.0862 (95% CI = −0.5866, 0.4142). Result: The review evaluated the 21 studies of tooth colour science that met with the inclusion criteria and search criteria. The meta-analysis of the 21 combined studies reported acceptable homogeneity (i2 = 98%) which indicates a statistically significant difference between the treatment and control groups. Conclusion: The VES spectrophotometer reported the highest accuracy, reliability, and repeatability in shade selection followed by photo colorimetric method. The Vita 3D master shows more consistent results in repetitive shade selection. Knowledge and training of the shade selection protocol are necessary for proper shade matching
Adapting Collaborative Approaches for Service Provision to Low-Income Countries: Expert Panel Results

The international development sector is increasingly implementing collaborative approaches that facilitate a range of sectoral-level stakeholders to jointly address complex problems facing sustainable public service delivery, for which guidance does not explicitly exist. The literature on collaborative approaches has been built on experiences in high-income countries with vastly different governance capabilities, limiting their global relevance. A Delphi expert panel addressed this need by evaluating 58 factors hypothesized in the literature to contribute to the success of collaborative approaches. The panel rated factors according to their importance in low-income country contexts, on a scale from Not Important to Essential. Experts agreed on the importance of 49 factors, eight of which were essential for success. Rich qualitative data from open-ended responses revealed factors that may be unique to low-income country contexts and to service delivery applications, including how government capacity, politics, donor influence, and culture can influence decisions on structuring leadership and facilitation roles, appropriately engaging the government, and building legitimacy. Key considerations for future practice and research are summarized in a table in the appendix. This study contributes to both literature and practice by identifying the relative importance of factors to consider when designing collaborative approaches in low-income countries with limited governance capabilities.
Prognostic Significance of BCL2 Protein in Diffuse Large Cell Lymphoma of Head and Neck; Relation to Response to Chemotherapy

Diffuse large B cell lymphoma (DLBCL) is a heterogeneous disease that displays a highly variable clinical outcome. It is a neoplasm of large transformed B cells with a diffuse growth pattern. DLBCL is the most common type of non-Hodgkin’s lymphoma (NHL) (31% of all cases). Approximately half of patients with DLBCL are cured with current chemotherapy regimens. The purpose of this study was to evaluate BCl2 expression in 45 patients diagnosed with DLBCL of head and neck region and correlate the level of its immunohistochemical expression with different clinicopathological variables with emphasis upon patients’ age, gender, nodal or extra-nodal location of lymphoma, patients’ response to chemotherapy, progression-free survival (PFS) and overall survival (OS). A retrospective analysis of 45 patients diagnosed to have DLBCL. A cut off value of ≥ 50% protein expression denoted BCL2 positivity. Out of 45 cases, 36 cases (80%) revealed BCL2 positive expression and 9 cases (20%) were BCL2 negative. We found statistically significant differences in BCL2 expression regarding different patients’ responses to chemotherapy, patients’ OS and PFS (p ≤ 0.05). No statistically significant differences in BCL2 expression regarding the patients’ Ann Arbor clinical stage, age group and tumor site (nodal or extra-nodal, p > 0.05) using the Chi-square test. BCL2 expression was analyzed in relation to 5 years OS and PFS using Kaplan Meier curves and Log Rank test for survival analysis. Cases that demonstrated BCL2 positivity revealed shortened OS and PFS with highly statistically significant differences among the studied variables (p = 0.000). We also found that patients who respond well to the chemotherapeutic regimen had negative BCL2 expression, the differences were statistically significant (p = 0.015). In conclusion, BCL2 expression could be considered a predictor for patients’ chemotherapeutic response, OS and PFS.
STDC-Flow: large displacement flow field estimation using similarity transformation-based dense correspondence

In order to improve the accuracy and robustness of optical flow computation under large displacements and motion occlusions, the authors present in this study a large displacement flow field estimation approach using similarity transformation-based dense correspondence, named STDC-Flow approach. First, the authors compute an initial nearest-neighbour field by using the STDC-Flow of the consecutive two frames, and then extract the consistent regions as the robust nearest-neighbour field and label the inconsistent regions as the occlusion areas. Second, they improve a non-local total variation with the L1 norm optical flow model by using the occlusion information to modify the weighted median filtering optimisation. Third, they fuse the robust nearest-neighbour field and the computed flow field of the improved variational optical flow model to construct the final flow field by using the quadratic pseudo-boolean optimisation fusion algorithm. Finally, the authors compare the proposed STDC-Flow method with several state-of-the-art approaches including the variational and deep learning-based optical flow models by using the MPI-Sintel and KITTI evaluation databases. The comparison results demonstrate that the proposed STDC-Flow method has a high accuracy for flow field computation, especially the capacity of dealing with large displacements and motion occlusions.
Recent Advances in Photovoltaic-Trombe Wall System: A Review

Management of energy consumption for building’s air conditioning is a vital issue for resource saving and environmental protection. The use of solar energy to generate electricity by solar cells is essential nowadays. However, the disadvantage of solar panels is the elevated temperature in work, especially in the hot sunny climate that leads to efficiency decline. Also, there is a problem with heating during the night and cloudy days. For the last 20 years, there has been a rapid development in the field of integrated solar technologies. A hybrid PV/Trombe wall (PV/TW) system suggested being an efficient and durable conversion system of solar energy. The design of the PV/TW system considered one of the focusing areas of the present research to make it more economically feasible. The idea of building the photovoltaic-Trombe wall has appeared as one of the green technologies. Several published works at that time are included for integrating PV/TW system. This chapter devoted to reviewing the theoretical and practical studies conducted on this system for developing and improving electrical and thermal performance.
Randomized, placebo‐controlled, phase 3 study of perifosine combined with bortezomib and dexamethasone in patients with relapsed, refractory multiple myeloma previously treated with bortezomib

Perifosine, an investigational, oral, synthetic alkylphospholipid, inhibits signal transduction pathways of relevance in multiple myeloma (MM) including PI3K/Akt. Perifosine demonstrated anti‐MM activity in preclinical studies and encouraging early‐phase clinical activity in combination with bortezomib. A randomized, double‐blind, placebo‐controlled phase 3 study was conducted to evaluate addition of perifosine to bortezomib‐dexamethasone in MM patients with one to four prior therapies who had relapsed following previous bortezomib‐based therapy. The primary endpoint was progression‐free survival (PFS). The study was discontinued at planned interim analysis, with 135 patients enrolled. Median PFS was 22.7 weeks (95% confidence interval 16·0–45·4) in the perifosine arm and 39.0 weeks (18.3–50.1) in the placebo arm (hazard ratio 1.269 [0.817–1.969]; P = .287); overall response rates were 20% and 27%, respectively. Conversely, median overall survival (OS) was 141.9 weeks and 83.3 weeks (hazard ratio 0.734 [0.380–1.419]; P = .356). Overall, 61% and 55% of patients in the perifosine and placebo arms reported grade 3/4 adverse events, including thrombocytopenia (26% vs 14%), anemia (7% vs 8%), hyponatremia (6% vs 8%), and pneumonia (9% vs 3%). These findings demonstrate no PFS benefit from the addition of perifosine to bortezomib‐dexamethasone in this study of relapsed/refractory MM, but comparable safety and OS.
Different machine learning methods based prediction of mild cognitive impairment

Aim: In this study benefits from different machine learning methods to analyze factors which affect young person’s scores of cognitive assessment. Material and Methods: This study was performed among 144 persons aged between 18 and 24 who study at Kahramanmaras Sutcu Imam University. Boosted Tree Regression (BTR), Random Forest Regression (RFR) and Support Vector Machine (SVM), which are among machine learning methods, were used in order to determine the factors affecting the score of cognitive assessment. K-10 fold cross validation method was also used. Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Correlation coefficients (R) metrics were used in order to measure prediction performances of machine learning methods. Results: MSE values were calculated as 9.66 for BTR, 9.78 for RFR, and 6.43 for SVM. MAE values were calculated as 2.06 for BTR, 2.05 for RFR, and 1.97 for SVM. RMSE values were calculated as 3.10 for BTR, 3.12 for RFR, and 2.53 for SVM. Finally, correlation coefficients were calculated as 0.289 for BTR, 0.371 for RFR and 0.546 for SVM. In addition, it was also found out that the most important variables which affected the scores of cognitive assessment were anti-depressant use, depression and obsession. Conclusion: It was demonstrated in this study that SVM displayed the lowest error rates and highest prediction performance in terms of determining the score of cognitive assessment. Therefore, SVM can be stated that it is the most suitable method for the prediction of cognitive impairment.
Growth Study of Silicon Nanowires Synthesized Via Plasma-Assisted VLS Using Tin Catalysts

It is for this reason that an alternative metal to gold has been investigated for the synthesis of semiconductor NWs. From this point of view, Tin can be used as an alternative candidate because of its low eutectic point (232 ° C) and low solubility in Si. Thin films of the Sn catalyst, with 1 nm of thickness, were prepared by the thermal evaporation method at a pressure of 2×10 -6 mbar vacuum on crystalline (100) silicon wafer c-Si and hydrogenated amorphous silicon coated c-Si a-Si:H/ c-Si substrates at room temperature. The samples were loaded into PECVD chamber, Sn nanoparticles were formed by exposure to 100 sccm of H 2 plasma for 2 min, SiNWs were then grown for 20 min by introducing pure silane (SiH4) into the reactor with a flow rate of 5 sccm at a substrate temperature between 400 and 600 °C. SEMs showing that the Tin catalyzed SiNWs are tapered in nature and randomly oriented. The density and the morphology of the NWs are influenced by the growth temperature and by the substrate. Abstract In the present work, silicon nanowires (SiNWs) have been grown on crystalline silicon (Si) (100) oriented and hydrogenated amorphous silicon a-Si:H coated c-Si (a-Si: H/c-Si) substrates by plasma-enhanced chemical vapor deposition (PECVD) via the vapor-liquid-solid (VLS) process at different temperature. Tin (Sn) catalyst coating with a thickness of 1 nm were used as metal catalysts. A hydrogen plasma was applied to reduce the oxide and to form Sn droplets. SiNWs were then grown by introducing pure silane (SiH4) into the reactor with a flow rate of 5 sccm and a chamber pressure of 1.33 mbar, at a substrate temperature between 400 and 600°C. Their morphological and surface characteristics have been investigated using Hitachi S4800 scanning electron microscopy (SEM). Morphology obtained from SEM shows tapered growth of NWs with a distinctively sharp tip.
Using Movement Ecology To Understand Flight Behavior In Soaring Birds

Behavioural side-bias is a result of hemispheric specialization and is advantageous because it can improve response times to sudden stimuli and efficiency in multi-tasking. It has been observed in many vertebrates, including birds. However, behavioural side-bias can lead to morphological asymmetries resulting in reduced performance for specific activities. For flying animals, wing asymmetry is particularly costly and it is unclear if behavioural side-biases will be expressed in flight; the benefits of quick response time afforded by sidebiases must be balanced against the costs of less efficient flight due to the morphological asymmetry side-biases may incur. Thus, competing constraints could lead to context-dependent expression or suppression of side-bias in flight. In repeated flight trials through an outdoor tunnel with obstacles, tree swallows (Tachycineta bicolor) preferred larger openings, but we did not detect either individual or population-level side-biases. Thus, while observed behavioural side-biases during substrate-foraging and copulation are common in birds, we did not see such side-bias expressed in obstacle avoidance behaviour in flight. This finding highlights the importance of behavioural context for investigations of side-bias and hemispheric laterality and suggests
Interspecific trait integration increases with environmental harshness: A case study along a metal toxicity gradient

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2020 The Authors. Functional Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society 1Laboratoire d'Ecologie Végétale et Biogéochimie, Université Libre de Bruxelles, Bruxelles, Belgium 2Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK 3Department of Forest, Nature and Landscape, Biodiversity and Landscape Unit, University of Liège, Gembloux Agro-Bio Tech, Gembloux, Belgium 4Ecology, Restoration Ecology and Landscape Research Unit, Faculty of Agronomy, University of Lubumbashi, Lubumbashi, Democratic Republic of Congo
A competitive resource: consumer-perceived new-product creativity

This paper aims to examine the influences of consumer-perceived new-product creativity (NPC) on consumers’ purchase intentions (PIs), along with the mediating effects of NPC meaningfulness between NPC novelty and PI, and between NPC communicableness and PI. ,Data were collected through a self-administrated survey approach in the South West of the USA. Hypotheses were tested by using structural equation modeling and a sample consisted of 463 respondents. ,The study shows that new-product novelty and communicableness are positively related to consumers’ PIs while new-product meaningfulness mediates these relationships. ,This research advances the existing creativity literature by probing the core component among different creativity constructs. The study also contributes to the consumer-behavior literature, which has rarely examined consumers’ perceived creativity. ,This research offers theoretical foundations and guidelines for entrepreneurs and small firms to develop new products and promotion strategies. Usefulness as a dominant product/service factor should be emphasized in practice. ,A research gap at the interface of new product development and consumer behavior is addressed by investigating the effect of consumer-perceived NPC on consumers’ purchase behaviors.
Solitary Confinement in Midwestern States: Are Best Practices in Place?

ABSTRACT The use of solitary confinement is one of the most pressing issues facing American Corrections. Due to the legal, financial, and moral costs and issues associated with solitary confinement, a great deal of research has focused on developing best practices for its use. However, to date there has been no examination of whether these best practices are being implemented in the Midwestern United States. This article seeks to fill that void with an exploratory look at the issue.
Solution-processed two-dimensional materials for ultrafast fiber lasers (invited)

Abstract Since graphene was first reported as a saturable absorber to achieve ultrafast pulses in fiber lasers, many other two-dimensional (2D) materials, such as topological insulators, transition metal dichalcogenides, black phosphorus, and MXenes, have been widely investigated in fiber lasers due to their broadband operation, ultrafast recovery time, and controllable modulation depth. Recently, solution-processing methods for the fabrication of 2D materials have attracted considerable interest due to their advantages of low cost, easy fabrication, and scalability. Here, we review the various solution-processed methods for the preparation of different 2D materials. Then, the applications and performance of solution-processing-based 2D materials in fiber lasers are discussed. Finally, a perspective of the solution-processed methods and 2D material-based saturable absorbers are presented.
FloVasion: Towards Detection of non-sensitive Variable Based Evasive Information-Flow in Android Apps

ABSTRACT Smartphones are enriched by applications (apps) available through the mobile ecosystem. Various studies have reported that apps leaking sensitive user and device information are the primary target of cyber criminals. Existing program analysis tools can detect such information leakage flows. Reverse engineering tools are deployed to determine app information-flow via control and data-flow analysis. Malware authors employ information-flow based evasion techniques while leaking privacy sensitive data. In this paper, we discuss five novel app attacks that evade information flow analysis and leak sensitive device and user information (e.g. IMEI, SIM details, Location details, and user contacts). These attacks circumvent state-of-the-art analysis tools. We show that sensitive information can be leaked via non-sensitive variables, or by performing runtime inspection of classes and fields. We analyzed the proposed novel attack apps against some of the most promising state-of-the-art static analysis tools such as FlowDroid, DroidSafe, and dynamic analysis tools such as TaintDroid. Furthermore, we evaluated Play-Protect i.e. default on-device anti-malware, AVL Antivirus, and some other top commercial products against proposed novel app attacks. We demonstrate that existing tools are vulnerable to proposed attacks. Finally, this paper proposes AspectJ based runtime monitor as a possible solution that can be incorporated in the state-of-the-art app analysis techniques to detect information flow misuse.
Examination of EV Abilities to Provide Vehicle-to-Home Service in Low Voltage Installation

This paper deals with the application of an electric vehicle (EV) motor inverter and its batteries as an energy storage device supporting the operation of home electrical installation. This additional functionality of EV is called a Vehicle-to-Home (V2H) service. Two kind of services are considered: a peak shaving and an emergency power supply. The simulation model developed in the PSCAD program is presented. It allows for the examination of the EV battery control and operation during EV driving and parking. Additionally, it allows an evaluation of the availability of home installation for the V2H service. Control algorithms enabling the implementation of discussed work options are presented. Results of simulations are presented illustrating the EV control and operation in different operational modes.