Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ROLE OF DREB2 GENE IN DROUGHT TOLERANCE OF COMMON WHEAT (TRITICUM AESTIVUM L.) ASSOCIATED WITH AZOSPIRILLUM BRASILENSE

Dehydration causes loss of wheat (Triticum aestivum L.) yield. Inoculation of wheat with Azospirillum brasilense improves its tolerance to drought. Although up-regulation of DREB2 gene has increased drought tolerance of wheat, less information exists about DREB2 expression under inoculation with A. brasilense. In this study, the physiological responses of different pairs of six wheat cultivars with A. brasilense Sp7 and Sp245 strains were evaluated to drought and the tolerant (Roshan-Sp245), sensitive (Shahpasand-Sp7), moderately tolerant (Roshan-Sp7) and moderately sensitive pairs (Shahpasand-Sp245) were selected. Afterward, in the second experiment, DREB2 expression of the selected pairs was evaluated under inoculation and/or dehydration (ψw = -90 MPa) at 0, 120 and 360 minutes. At 120 min, DREB2 expression was more in the tolerant and moderately tolerant pairs than others and also higher in inoculated and/or dehydration conditions. Root’s DREB2 was up-regulated almost 700-fold in the tolerant and moderately tolerant pairs under dehydration. In contrast, in the sensitive cv. , DREB2 expression did not change due to dehydration or inoculation. This could be the effect of compatibility or homology of A. brasilense strains and wheat cultivars which affected DREB2 expression. Therefore, DREB2 expression had a significant effect on increased drought tolerance in tolerant and moderately tolerant pairs.
The Impact of Intellectual Property Rights on Cumulative Innovation: Evidence from Biotechnology Industry

Whether intellectual property rights encourage or hinder cumulative innovation has been a subject of debate. On one hand, proponents of the positive impact claim that intellectual property rights provide incentives for researchers and private investors and direct their efforts. On the other hand, proponents of the negative impact (or so-called anti-commons effect) argue that intellectual property rights limit the ability of researchers to build upon existing innovations and technologies. Although several recent empirical works find evidence in support of anti-commons effect, the focus of these studies has been primarily on the “existing disclosed technologies”. In spite of their prominent role in deepening our understanding of the relationship between intellectual property rights and cumulative innovation, such research designs merely allow for studying the accessibility aspect of innovations and fall short of examining other dimensions (e.g. reward and disclosure). In order to address this gap, in this study, I exploit a natural experiment: The US Supreme Courts ruling on “Association of Molecular Pathology v. Myriad Genetics, Inc.” case which led to the termination of gene patenting practice in the United States. I examine how the abolition of intellectual property rights on isolated genes has affected not only the subsequent innovations based on existing isolated genes, but also the incentives to develop new gene-based diagnostic tests and pushing the frontiers in biotechnology industry.
Challenges of Engineering Cybersecurity: Government Perspective

The US Government is a principal source of funding for basic research in cybersecurity. In that role, the Government is in a position to direct research against fundamental issues in cybersecurity and toward novel and game-changing solutions. Among the federal strategic cybersecurity research themes, Moving Target Defense and Science of Security are great examples of engineeringand science-based efforts to significantly improve the security of our IT systems.
MEASUREMENT OF BRAND STRENGTH OF A DOMESTIC SYSTEM OF DRUG STORES IN VIETNAM

Introduction: The introduction of the Good Pharmacy Practice (GPP) standards has begun a new trend in the retail drug business and pharmacy system model. In implementing GPP, drugstore chains have shown the strengths and advantages in comparison to the business models of independent pharmacies. As a system model, the pharmacy chain has long been familiar in many foreign countries, but it is still new and as yet has not gained popularity in Vietnam. Vietnam’s retail drug enterprises should embrace the strengths of this model to compete with pharmacy brands worldwide, especially to ensure the newly implemented pharmacy system is positively perceived by consumers. Objective: This study was carried out to help retail drug enterprises establish and maintain their brand images in consumers’ estimation in the domestic system of drugstores (DSDs) and suggests appropriate solutions to elevate these brands. Methods: A cross-sectional study was performed using a study cohort of customers who buy products in the DSD pharmacy system and the surrounding residential area within a hundredmetre radius. Qualitative research was used to build and complete the questionnaires. Quantitative research was used to collect and analyse survey data. Results: Current brand-building activities of DSDs are not effective and require more attention and improvement, especially as compared to the brand strength of DSD competitors. The study identified that the index of brand strength of DSDs have an average score of 43.3%. Assessing the level of customer satisfaction with DSD was relatively satisfactory; however, it became clear that each facility needs to decrease its respective limitations, as these were not appreciated by customers, and continue to promote its advantages to thrive in the future. Based on the survey result, the subject proposes a number of solutions to elevate the brand of DSD. 290 Thoai Dang Nguyen et al. Conclusion: DSDs met the customers’ requirements quite well, creating trust and a sense of privacy place in the minds of customers. However, DSDs need to continue to develop their advantages and improve upon their limitations in order to develop more strongly in the future.
Career Perception at the Republic Indonesian Police Organization Impact of Distributive Fairness , Procedural Fairness and Career Satisfaction on Affective Commitment

In general, this study describes the phenomenon of career’s fairness and the importance of career for the satisfaction and commitment of members of the police in organization. This test also explains whether a career in human resource management practices explain the higher level of commitment, namely affective commitment. Specifically, first to conduct further testing of the impact of career distributive and career procedural fairness on career satisfaction and affective commitment. The second was to test the impact of career satisfaction on the affective commitment. The third was to describe the condition of career fairness, career satisfaction and affective commitment at the police resort organization in province X. The data analysis technique used in this study is SEM which is operated through the AMOS software program. The population of this research was 134 officers of police resort organization. The results indicated that career distributive and procedural fairness are strong predictor to explain career satisfaction. Then both of career fairness type and career satisfaction are predictor to explain affective commitment.
13 From Opinions to Recommendations

Traditionally, recommender systems have relied on user preference data (such as ratings) and product descriptions (such as meta-data) as primary sources of recommendation knowledge. More recently, new sources of recommendation knowledge in the form of social media information and other kinds of user-generated content have emerged as viable alternatives. For example, services such as Twitter, Facebook, Amazon and TripAdvisor provide a rich source of user opinions, positive and negative, about a multitude of products and services. They have the potential to provide recommender systems with access to the fine-grained opinions of real users based on real experiences. This chapter will explore how product opinions can be mined from such sources and can be used as the basis for recommendation tasks. We will draw on a number of concrete case-studies to provide different examples of how opinions can be extracted and used in practice.
Isotropic Quenched Disorder Triggers a Robust Nematic State in Electron-Doped Pnictides

The phase diagram of electron-doped pnictides is studied varying the temperature, electronic density, and isotropic quenched disorder strength by means of computational techniques applied to a three-orbital (xz, yz, xy) spin-fermion model with lattice degrees of freedom. In experiments, chemical doping introduces disorder but in theoretical studies the relationship between electronic doping and the randomly located dopants, with their associated quenched disorder, is difficult to address. In this publication, the use of computational techniques allows us to study independently the effects of electronic doping, regulated by a global chemical potential, and impurity disorder at randomly selected sites. Surprisingly, our Monte Carlo simulations reveal that the fast reduction with doping of the Néel TN and the structural TS transition temperatures, and the concomitant stabilization of a robust nematic state, is primarily controlled by the magnetic dilution associated with the in-plane isotropic disorder introduced by Fe substitution. In the doping range studied, changes in the Fermi Surface produced by electron doping affect only slightly both critical temperatures. Results obtained varying the disorder strength indicate that the specific material dependent phase diagrams experimentally observed are a consequence of the variation in disorder profiles introduced by the different dopants. Our results are also in agreement with neutron scattering and scanning tunneling microscopy, unveiling a patchy network of locally magnetically ordered clusters with anisotropic shapes, even though the quenched disorder is locally isotropic. This study reveals a remarkable and unexpected degree of complexity in pnictides: the fragile tendency to nematicity intrinsic of translational invariant electronic systems needs to be supplemented by quenched disorder to stabilize the robust nematic phase experimentally found in electron-doped 122 compounds.
The Role of Agglomeration Economies regarding Innovative Competence: Exploitation and Exploration

The role of agglomeration economies has been unresolved with regard to regional innovative competence. We consider that it is due to neglecting the heterogeneity in innovative competence across regions. In this paper, we employ the concepts of exploitation and exploration to reflect the different types of innovative competence and relate them with agglomeration externalities using the patent data of metropolitan statistical areas (MSAs) in the United States. The empirical results indicated that, regardless of the type of externality, a region with a high level of agglomeration externalities tends to have strong exploitative innovative competence. Further, it was observed that exploratory innovative competence is likely to be promoted in a region where Jacobian externalities exist. Thus, we confirm that the type of externality is not relevant in deciding the level of exploitative innovative competence and that only Jacobian externalities are positively linked to exploratory innovative competence.
QoE-Fair Video Streaming over DASH Using Reinforcement Learning

Video streaming has become, and is expected to remain, the dominant type of traffic over the Internet. With this high demand for multimedia streaming, there is always a question on how to provide acceptable and fair Quality of Experience (QoE) for consumers of the over-the-top video services, despite the best-effort nature of the Internet and the limited network resources, shared by concurrent users. MPEGDASH, as one of the most widely used standards of HTTP-based adaptive streaming, uses a client-side rate adaptation algorithms; which is known to suffer from two practical challenges: in one hand, clients use fixed heuristics that have been fine-tuned according to strict assumptions about deployment environments which limit its ability to generalize across network conditions. On the other hand, the absence of collaboration among DASH clients leads to unfair bandwidth allocation, and typically ends up in an unbalanced equilibrium point We believe that augmenting a server-side rate adaptation significantly improves the fairness of network bandwidth allocation among concurrent users. We have formulated the problem as a Decentralized Partially Observable Markov Decision Process (DecPOMDP) model, and used RL to train two neural networks to find an optimal solution to the proposed Dec-POMDP problem in a distributed way. We showed that our proposed client-server collaboration outperforms the state-of-the-art schemes in terms of QoE-efficiency, QoE-fairness, and social welfare by as much as 16%, 21%, and 24% respectively.
META-ANALYSIS OF CHANGE IN IMPLICIT MEASURES 1 A Meta-Analysis of Procedures to Change Implicit Measures April 26 , 2019

Using a novel technique known as network meta-analysis, we synthesized evidence from 492 studies (87,418 participants) to investigate the effectiveness of procedures in changing implicit measures, which we define as response biases on implicit tasks. We also evaluated these procedures’ effects on explicit and behavioral measures. We found that implicit measures can be changed, but effects are often relatively weak (|ds| < .30). Most studies focused on producing short-term changes with brief, single-session manipulations. Procedures that associate sets of concepts, invoke goals or motivations, or tax mental resources changed implicit measures the most, whereas procedures that induced threat, affirmation, or specific moods/emotions changed implicit measures the least. Bias tests suggested that implicit effects could be inflated relative to their true population values. Procedures changed explicit measures less consistently and to a smaller degree than implicit measures and generally produced trivial changes in behavior. Finally, changes in implicit measures did not mediate changes in explicit measures or behavior. Our findings suggest that changes in implicit measures are possible, but those changes do not necessarily translate into changes in explicit measures or behavior.
Bandwidth Enhancement Technique for Stacked Patch Antennas Using Slot Couplings

Takanori NORO 1, , Masaharu Takahashi , Koichi ITO 4 1 Graduate School of Science and Technology, Chiba University 1-33 Yayoicho Inage-ku Chiba-shi, 263-8522, Japan, noro.takanori@graduate.chiba-u.jp 2 Communication Equipment Division, Japan radio Co., Ltd. 1-1 Shimorenjyaku 5 Chome Mitaka-shi, Tokyo, 181-8500, Japan 3 Research Center for Frontier Medical Engineering, Chiba University 4 Faculty of Engineering, Chiba University
ALGORITHM OF VARIATIVE FEATURE DETECTION AND PREDICTION IN CONTEXT-DEPENDENT RECOGNITION

Application of context-dependent classification for recognition tasks is proposed. In the context-free classification, the starting point was the Bayesian classifier. Morphological features such as object form, area, and eccentricity were considered through context-dependent classification. As result, dependences which can be used for object recognition have been obtained, and further they can be used together with interesting point detectors. The procedure of prediction of object variative features was developed.
Successive Compute-and-Forward Bobak Nazer

In prior work, we proposed the compute-andforward framework for sending linear combinations of messages to relays. In this note, we extend the notion of successive interference cancellation to the compute-and-forward setting. We find that once a relay has decoded a linear combination, it can mix it with its channel output to create a new effective channel output. The resulting effective channel can be tuned so that it is more suitable for decoding a second linear combination than the original channel.
Early results of treatment for developmental dysplasia of the hip in children of walking age ( 1-4 years )

Me t h o d s : Twenty-four patients were retrospectively divided into two groups according to whether they were below or above two years of age at the time of the initial treatment. Group I consisted of 13 patients (20 hips; mean age 19.1 months; range 14 to 24 months); 11 patients (15 hips; mean age 32.6 months; range 26 to 50 months) comprised group II. Initially, patients in group I were treated with closed or open reduction (12 hips) and open reduction with femoral and/or pelvic osteotomies (8 hips). Group II patients underwent open reduction with femoral and/or pelvic osteotomies. Clinical results were evaluated according to the modified McKay criteria, and radiographic results to the Severin classification. The mean follow-up periods were 29.1 months (range 12 to 60 months) and 37.3 months (range 12 to 66 months), respectively.
In Vitro and In Situ Degradation Characteristics and Rumen Fermentation Products of Moringa oleifera Harvested at Three Different Ages

Besides the beneficial agronomic properties such as drought tolerance and high biomass production, the high crude protein content of Moringa oleifera (Moringa) makes it comparable to the other high quality forages. This study aimed to evaluate whether Moringa can be an appropriate substitute for alfalfa as a ruminant feed. The study consisted of 4 treatments, namely Moringa leaves harvested at 30 (M30), 40 (M40), and 50 (M50) days after pruning, and alfalfa ( Medicago sativa ) hay as a control. Simultaneously, their organic matter digestibilities and fermentation characteristics were analyzed by in vitro gas production technique and rumen dry matter and protein degradability kinetics were analyzed by using the nylon bags (in situ) procedure. The results of in vitro study revealed that the potential cumulative gas production for Moringa sample harvested at 30 days after pruning was higher than that of alfalfa while the rate of gas production and the concentrations of ammonia and volatile fatty acids (VFA) in Moringa were similar to alfalfa. Moringa harvested at different times had higher in vitro organic matter digestibility (IVOMD) and metabolizable energy (ME) content as compared with alfalfa. Despite the apparent higher soluble fraction (a) and the fractional degradation rate (c) in the Moringa samples of various ages than those for alfalfa, the differences were not significant. However, in situ potentially degradable fraction (b) for DM and CP of Moringa harvested at different ages were higher than those of alfalfa (P<0.05). The in vitro fermentation and in situ degradation parameters suggested high similarities in the kinetics of gas production (i.e. a, b, and c) and DM degradation pattern among the three different cutting ages of Moringa and nutritionally they were comparable to alfalfa. In conclusion, alfalfa could be replaced with Moringa leaves in diet of ruminant animal without any adverse effect.
University of Dundee MicroRNA-135 b Regulates Leucine Zipper Tumor Suppressor 1 in Cutaneous Squamous Cell Carcinoma

Cutaneous squamous cell carcinoma (cSCC) is the second most common skin malignancy and it presents a therapeutic challenge in organ transplant recipient patients. Despite the need, there are only a few targeted drug treatment options. Recent studies have revealed a pivotal role played by microRNAs (miRNAs) in multiple cancers, but only a few studies tested their function in cSCC. Here, we analyzed differential expression of 88 cancer related miRNAs in 43 study participants with cSCC; 32 immunocompetent, 11 OTR patients, and 15 non-lesional skin samples by microarray analysis. Of the examined miRNAs, miR-135b was the most upregulated (13.3-fold, 21.5-fold; p=0.0001) in both patient groups. Similarly, the miR-135b expression was also upregulated in three cSCC cell lines when evaluated by quantitative real-time PCR. In functional studies, inhibition of miR-135b by specific anti-miR oligonucleotides resulted in upregulation of its target gene LZTS1 mRNA and protein levels and led to decreased cell motility and invasion of both primary and metastatic cSCC cell lines. In contrast, miR-135b overexpression by synthetic miR-135b mimic induced further down-regulation of LZTS1 mRNA in vitro and increased cancer cell motility and invasiveness. Immunohistochemical evaluation of 67 cSCC tumor tissues demonstrated that miR135b expression inversely correlated with LZTS1 staining intensity and the tumor grade. These results indicate that miR-135b functions as an oncogene in cSCC and provide new understanding into its pathological role in cSCC progression and invasiveness.
Title Prioritized Relationship Analysis in Heterogeneous Information Networks

Title Prioritized Relationship Analysis in Heterogeneous Information Networks Authors(s) Liang, Jiongqian; Ajwani, Deepak; Nicholson, Patrick K. ; et al. Publication date 2018-04 Publication information ACM Transactions on Knowledge Discovery from Data, 12 (3): Publisher ACM Item record/more information http://hdl.handle. net/10197/10137 Publisher's statement © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Knowledge Discovery from Data, {12, 3, (2018)} http://doi.acm. org/10.1145/3154401 Publisher's version (DOI) 10.1145/3154401
Material Characterization and Finite Element simulation of Ice Hockey Helmets under rotational impact conditions

The present work is developed at the Royal Institute of Technology (KTH) in Stockholm, Sweden under the supervision of Prof. Svein Kleiven and Madelen Fahlstedt and at the University of Padova under the supervision of Prof. Nicola Petrone. The aim is to improve a finite element model of an Ice Hockey helmet generated in 2017 by I. Rigoni [1], by mean of an extended material characterization and material model validation of the EPP foam liner. To characterize the material a new shear test rig is designed and builtin order to fit the samples of the convenient size: it is often required to test samples directly extracted from commercial helmets and a suitable specimen size must be chosen to be able to cut the samples from such a complex shaped part which an helmet liner is. The material data obtained fom the test (Compression, Tension, Shear) are used to prepare a MAT_083 Fu Chang foam material card in LS-PrePost to be implemented in the LS-Dyna simulation of the helmet oblique impact test previously performed at MIPS (Sweden). The material model is tuned and validated in compression and shear for two different strain rates, but the model demonstrated to overestimate the kinematic parameters of the hit. An alternative MAT_057 Low Density Foam material model is tested with slightly better results, using the same data, not accounting for strain rate dependence. Five configurations are proposed with changes in the material model and in the fitting of the head/helmet system. The non fitted configuration were better correlating the results with all the material models. The tuning of the material to match the shear response with the experimental one gave a very small contribution.