Miracle-dz/UniFAR-FTUs huggingface dataset:
Single-step colloidal quantum dot films for infrared solar harvesting

Semiconductors with bandgaps in the near- to mid-infrared can harvest solar light that is otherwise wasted by conventional single-junction solar cell architectures. In particular, colloidal quantum dots (CQDs) are promising materials since they are cost-effective, processed from solution, and have a bandgap that can be tuned into the infrared (IR) via the quantum size effect. These characteristics enable them to harvest the infrared portion of the solar spectrum to which silicon is transparent. To date, IR CQD solar cells have been made using a wasteful and complex sequential layer-by-layer process. Here, we demonstrate ∼1 eV bandgap solar-harvesting CQD films deposited in a single step. By engineering a fast-drying solvent mixture for metal iodide-capped CQDs, we deposited active layers greater than 200 nm in thickness having a mean roughness less than 1 nm. We integrated these films into infrared solar cells that are stable in air and exhibit power conversion efficiencies of 3.5% under illumination by t.
The Relationship between Social Media Addiction and Academic Performance based on Personality Characteristics

As social media become more popular among society members, issues related to social media also increases especially addiction. The objective of the study is to determine the relationship between social media addiction and academic performance based on personality characteristics: Neuroticism, Extroversion, Openness to experience,Agreeableness, and Conscientiousness. The data was gathered from the distribution of questionnaire among students of the of Bachelor Information Technology and Bachelor of Science (Information Technology) programs. A total of 72 respondents had delivered their feedbacks for this study. The findings indicate that all the personality characteristics (Neuroticism, Extroversion, Openness to experience, Agreeableness, and Conscientiousness) have positive relationship with social media addiction. However, the addiction did not affect the academic performance since most of the respondents obtained the latest Cumulative Grade Point Average (CGPA) between 3.00 to 4.00.
Survey on sanitary status of native Vitis vinifera varieties in Georgia

In September 2013, a survey was carried out in three collections representing the native Georgian Vitis vinifera germplasm, located in Saguramo (Shida Kartli Region), Shumi and Kindzmaraulis (Khaketi Region). Leaf samples were collected from 37 plants of 12 white and 13 red berry varieties showing symptoms of viral diseases, such as leaf rolling and chromatic alterations, with different symptom severity. Total RNAs were extracted from leaves and PCR-based re-actions were performed with specific primer pairs to identify Grapevine rupestris stem pitting-associated virus (GRSPaV), Grapevine leaf roll-associated virus 1 , 2 , and 3 (GLRaV-1, GLRaV-2 and GLRaV-3), Grapevine virus A (GVA), and Grapevine pinot gris virus (GPGV). Obtained results revealed the prevalence of GRSPaV (mainly strains of groups 2a and 2b, associated with vein necrosis of 110R, identified in 29 out of 37 plants) and GLRaV-3 (identified in 26 out of 37 plants). Surprisingly, GLRaV-1 and GVA were detected in few plants (three out of 37), always in mixed infection with GLRaV-3. in two plants.
Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling

Most state-of-the-art anomaly detection methods are specific to detecting anomaly for pedestrians and cannot work without adequate normal training videos. Recently, there is a growing demand for detecting anomalous vehicles in traffic surveillance videos. However, the biggest challenge in this task is the lack of labeled datasets for training supervised models. By examining the resemblances of anomalous vehicles, we find it reasonable to label a vehicle as anomaly if it stays still in the video for a relatively long time. Utilizing this property, in this paper we introduce a novel unsupervised anomaly detection method for traffic surveilliance based on background modeling, which shows great potentials in handling heterogeneous scenes as well as extremely low resolution videos recordings without the dependence on labeled data. In the proposed system, we first employ background modeling using MOG2 to remove the moving vehicles as foreground while keeping the stopped vehicles as part of the background. Then we use Faster R-CNN to detect vehicles in the extracted background and decide if they are new anomalies under certain conditions. All information is updated on a frame basis until the end of the video which contains the final results. In this way, we make full use of the characteristics that abnormal vehicles stay in the scene for a relatively long time and reduce the difficulty of vehicle anomaly detection. Eventually, we can detect almost every anomaly in the NVIDIA AI CITY CHALLENGE track-2 dataset except for several extremely complex cases with a 81.08% F1-score and 10.2369 RMSE.
Computing the Real Impact of Wind Turbine Power Curve Upgrades: A SCADA-Based Multivariate Linear Method and a Vortex Generator Test Case

Wind turbine upgrades have been spreading in the recent years in the wind energy industry, with the aim of optimizing the efficiency of wind kinetic energy conversion. This kind of interventions has material and labor costs and it is therefore fundamental to estimate realistically the production improvement. Further, the retrofitting of wind turbines sited in harsh environments might exacerbate the stressing conditions to which wind turbines are subjected and consequently might affect the residue lifetime. This work deals with a case of retrofitting: the testing ground is a multi-megawatt wind turbine from a wind farm sited in a very complex terrain. The blades have been optimized by installing vortex generators and passive flow control devices. The complexity of this test case, dictated by the environment and by the features of the data set at disposal, inspires the formulation of a general method for estimating production upgrades, based on multivariate linear modeling of the power output of the upgraded wind turbine. The method is a distinctive part of the outcome of this work because it is generalizable to the study of whatever wind turbine upgrade and it is adaptable to the features of the data sets at disposal. In particular, applying this model to the test case of interest, it arises that the upgrade increases the annual energy production of the wind turbine of an amount of the order of the 2%. This quantity is of the same order of magnitude, albeit non-negligibly lower, than the estimate based on the assumption of ideal wind conditions. Therefore, it arises that complex wind conditions might affect the efficiency of wind turbine upgrades and it is therefore important to estimate their impact using data from wind turbines operating in the real environment of interest.
Resistance to Insecticides in Populations of the Coffee Leafminer

Coffee leafminer Leucoptera coffeella is an important pest on coffee. The continued use of chemicals can result in loss of efficacy and selection of leafminer-resistant populations. We aimed to identify L. coffeella populations resistant to old and new neurotoxic insecti‐ cides in regions of Brazil. We collected seven populations of L. coffeella in Brazil. Low lev‐ els of resistance were observed for the insecticides chlorantraniliprole (1.02-3.23 times), abamectin (1.19-4.80 times), and deltamethrin (1.05-5.35 times). High resistance levels were observed for profenofos (65.3-522 times) and chlorpyrifos (4.53-18.63 times). We conclude that Brazilian L. coffeella populations showed greater resistance to organophos‐ phate insecticides. Furthermore, resistance may be associated with the distance between the coffee-producing regions.
Self-care/self-help strategies for persons with Ménière’s disease: a systematic review

In recent years, health care practitioners and researchers have become increasingly interested in finding ways to help persons with long-standing health problems cope and live their everyday lives. This article presents the findings of the first systematic review of empirical research on the self-care strategies that persons with one such condition, Meniere’s disease (MD), find helpful. It aims to provide evidence-informed guidance to persons with MD on self-help/self-care approaches they might pursue. Searches were undertaken on three databases (MEDLINE, CINAHL, and PsycINFO), locating 239 potentially relevant references relating to MD or symptoms associated with the condition. Following a screening and critical appraisal process undertaken by the authors, eight papers were included in the review and were judged to be of high or good quality. The papers were synthesized in a narrative form, with individual papers summarized in evidence tables. No single self-help/self-care strategy or coping mechanism was evident. The review found evidence of the potential of a diverse range of helpful self-care approaches, including a cognitive behavioral therapy–self-help intervention, changes in lifestyle, developing and adopting positive approaches and/or avoidance of precipitating factors, and complementary and alternative medicine. The key message, for persons with MD and their caring health practitioners, is to become aware of the multiplicity of potential strategies and to try with support from others to “find what works, why and how” for themselves in their own psycho-socio-cultural lifeworld. More research is needed to examine people’s search for self-care strategies and obtain insight into how and why these work for them, drawing on notions of pragmatic acculturation, health literacy, and human/health agency, in addition to further research on the potential of, and who might benefit most from, cognitive behavioral therapy–self-help interventions.
Factors promoting and hindering data-based decision making in schools

ABSTRACT Although data-based decision making can lead to improved student achievement, data are often not used effectively in schools. This paper therefore focuses on conditions for effective data use. We studied the extent to which school organizational characteristics, data characteristics, user characteristics, and collaboration influenced data use for (1) accountability, (2) school development, and (3) instruction. The results of our hierarchical linear modeling (HLM) analysis from this large-scale quantitative study (N = 1073) show that, on average, teachers appear to score relatively high on data use for accountability and school development. Regarding instruction, however, several data sources are used only on a yearly basis. Among the factors investigated, school organizational characteristics and collaboration have the greatest influence on teachers’ data use in schools.
Obstetrie complications in distinct schizophrenie subgroups

In 55 chronic DSM I11 -R schi zophrenics the occurrence of obstetr ic complica ti ons (OCs) was investigated us ing the famili al/sporael ic strategy and Leonhard ' s unsyste mati c/systematic distinction. The overa ll frequency and severity of OCs el id not differ be tween patients anel contro ls. A sub-sample of pat ients , whose genetic ri sk was supposed to be high in both c lass ificat ion systems (d iag nos is 01' unsys tematic anel famili al schizophre ni a) , had s igni ficantl y fewer OCs than controls on the Lewis anel Murray scale (P < 0.05) . With reference to previous reports of inc reased morta lity rates in the offspring of schizophrenics , high genetic risk and additional perinatal stressors may increase perinatal mortality. In contrast, pat ients whose genetic ri sk was sllpposed to be low in both syste ms (di agnos is o f systematic and sporadic schizophrenia) showed a trend to an increased freqllency of OCs in the Fuchs sca le . In the contex t of the recently reported highl y signi ficantl y increased rate of maternal infections dllring midgestation in these pati ents, it was supposed that pe rinata l complications may be of so me ae tio log ica l importance in schizophrenics with low geneti c ri sk.
The Diagnostic Utility of Immunohistochemistry in Undifferentiated OvarianCarcinoma

Background: The impact of diagnostic immunohistochemistry (IHC) for the surgical pathology is legendary especially when it provides true identity of undifferentiated tumors. It is very important for the plane of management and prognostication, and it also provides further insights into the pathogenesis of these tumors. So, this study was undertaken to determine the role and significance of IHC for accurate diagnosis and subtyping of undifferentiated ovarian carcinoma as it is essential in guiding therapy and prognosis. Material and methods: IHC staining performed on 20 cases of undifferentiated ovarian carcinomas. A panel of antibodies was chosen to confirm the epithelial origin of these tumors and to exclude the possibility of ovarian metastasis from other sites. Results: IHC staining results showed that: 2 cases were malignant mesothelioma (calretinin+, panCKA1/A3+, CK7+, EMA+, vimentin+). Two other cases were granulosa cell tumor (inhibin+, calertinin+, vimentin+). Sixteen cases were undifferentiated ovarian carcinoma (PAX8+, vimentin+, panCKA1/A3+, CK7+, EMA+). Conclusion: The designed combinations of immunostaining profiles are helpful in the diagnosis of tumor origin and could offer a fast and correct prediction of the primary tumor site. PanCKA1/A3, CK7, CK20, vimentin, EMA, calertinin, inhibin, PAX8, GCDFP15 antibodies were sufficient for classification in most cases, whereas CA125 and CEA may help in supporting the diagnosis.
Tell Me Who You Think You Are and I Tell You How You Travel : Exploring the Viability of Market Segmentation by Means of Travelers' Stated Personality

People travel to different destinations for different reasons. In this study, we investigate the viability of market segmentation by personal traits (based on and exemplified by Jungian MBTI variables) of travellers from Switzerland. We performed a data-driven a-posteriori segmentation by means of k-means clustering. To identify the segmentation power of personal traits, this analysis was complemented with a multiple discriminant analysis as well as a number of contingency tests to identify differences between the segments. We identified four clearly delimitable segments. They not only differ in terms of the psychographic traits of the segment members but also in terms of their socio-demographic characteristics as well as travel profiles. Despite a growing body of work on classical market segmentation, there is still a limited number of works on potentialities of psychographic approaches relating to a traveller's traits and/ or personality as a segmentation basis in tourism.
Binary Data Packing Method for Database Optimization

Modern databases which are used in many object oriented applications have a large amount of data. Due to this fact the databases optimization problem is topical. In this paper we propose a method for a database optimization. The method based on the binary data packing. The method allows reducing a number of tables in a database and encrypting data at the same time. As example we consider the database fragment designed for our own CAD application. Two type of the binary data packing were considered – a simple and a complex. The advantages and the shortcomings of the method were considered. The results of the method usage are smaller size of database and faster data processing.
Dynamics of poles in two-dimensional hydrodynamics with free surface: new constants of motion

We address the problem of the potential motion of an ideal incompressible fluid with a free surface and infinite depth in a two-dimensional geometry. We admit the presence of gravity forces and surface tension. A time-dependent conformal mapping $z(w,t)$ of the lower complex half-plane of the variable $w$ into the area filled with fluid is performed with the real line of $w$ mapped into the free fluid’s surface. We study the dynamics of singularities of both $z(w,t)$ and the complex fluid potential $\unicode[STIX]{x1D6F1}(w,t)$ in the upper complex half-plane of $w$ . We show the existence of solutions with an arbitrary finite number $N$ of complex poles in $z_{w}(w,t)$ and $\unicode[STIX]{x1D6F1}_{w}(w,t)$ which are the derivatives of $z(w,t)$ and $\unicode[STIX]{x1D6F1}(w,t)$ over $w$ . We stress that these solutions are not purely rational because they generally have branch points at other positions of the upper complex half-plane. The orders of poles can be arbitrary for zero surface tension while all orders are even for non-zero surface tension. We find that the residues of $z_{w}(w,t)$ at these $N$ points are new, previously unknown, constants of motion, see also Zakharov & Dyachenko (2012, authors’ unpublished observations, arXiv:1206.2046) for the preliminary results. All these constants of motion commute with each other in the sense of the underlying Hamiltonian dynamics. In the absence of both gravity and surface tension, the residues of $\unicode[STIX]{x1D6F1}_{w}(w,t)$ are also the constants of motion while non-zero gravity $g$ ensures a trivial linear dependence of these residues on time. A Laurent series expansion of both $z_{w}(w,t)$ and $\unicode[STIX]{x1D6F1}_{w}(w,t)$ at each poles position reveals the existence of additional integrals of motion for poles of the second order. If all poles are simple then the number of independent real integrals of motion is $4N$ for zero gravity and $4N-1$ for non-zero gravity. For the second-order poles we found $6N$ motion integrals for zero gravity and $6N-1$ for non-zero gravity. We suggest that the existence of these non-trivial constants of motion provides an argument in support of the conjecture of complete integrability of free surface hydrodynamics in deep water. Analytical results are solidly supported by high precision numerics.
Modeling Support Provision 1 RUNNING HEAD : Modeling Support Provision Modeling Support Provision in Intimate Relationships

Whereas supportive interactions are usually studied from the perspective of recipients alone, we used a dyadic design to incorporate the perspectives of both provider and recipient. In two daily diary studies we modeled provider reports of support provision in intimate dyads over several weeks. The first involved couples experiencing daily stressors (N=79), the second, couples experiencing a major professional stressor (N=196). We hypothesized that factors relating to (a) recipients (their requests for support, moods and stressful events), (b) providers (their moods and stressful events), (c) the relationship (relationship emotions and history of support exchanges), and (d) the stressor (daily vs. major stressors) would each predict daily support provision. Across both studies, characteristics of providers, recipients and their relationship emerged as key predictors. Implications for theoretical models of dyadic support processes are discussed.
The stably stratified Taylor–Couette flow is always unstable except for solid-body rotation

Abstract The stability of the flow between two concentric cylinders is studied numerically and analytically when the fluid is stably stratified. We show that such flow is unstable when the angular velocity $\Omega (r)$ increases along the radial direction, a regime never explored before. The instability is highly non-axisymmetric and involves the resonance of two families of inertia–gravity waves like for the strato-rotational instability. The growth rate is maximum when only the outer cylinder is rotating and goes to zero when $\Omega (r)$ is constant. The sufficient condition for linear, inviscid instability derived previously, $\mathrm{d} {\Omega }^{2} / \mathrm{d} r\lt 0$ , is therefore extended to $\mathrm{d} {\Omega }^{2} / \mathrm{d} r\not = 0$ , meaning that only the regime of solid-body rotation is stable in stratified fluids. A Wentzel–Kramers–Brillouin–Jeffreys (WKBJ) analysis in the inviscid limit, confirmed by the numerical results, shows that the instability occurs only when the Froude number is below a critical value and only for a particular band of azimuthal wavenumbers. It is also demonstrated that the instability originates from a reversal of the radial group velocity of the waves, or equivalently from a wave over-reflection phenomenon. The instability persists in the presence of viscous effects.
Information, stability and dynamics in networks under institutional constraints

In this paper we study the effects of institutional constraints on stability, efficiency and network formation. More precisely, an exogenous "societal cover" consisting of a collection of possibly overlapping subsets that covers the whole set of players and such tha no set in this collection is contained in another specifies the social organization in different groups or "societies". It is assumed that a player may initiate links only with players that belong to at leats one society that s/he also belongs to, thus restricting the feasible strategies and networks. In this way only the players in the possiby empty "societal core", i.e., those that belong to all societies, may initiate links with all individuals. In this setting the part of the current network within each connected component of the cover is assumed to be common knowledge to all players in that component. Based on this two-ingredient model, network and societal cover, we examine the impact of societal constraints on stable/efficient architectures and on dynamics.
Labor adjustments in privatized firms: a Statis approach

This paper examines labor adjustments in ten Portuguese banks after the ownership transfer to the private sector. The results show that the restructuring process is a very complex phenomenon, with firms exhibiting diverse adjustments in terms of either speed or path. In addition, our findings also show that the pay level in the banking industry is by far the workforce attribute that changed more, reflecting substantial changes in terms of composition and not size of the workforce. In particular, firms tend to reduce the share of workers in managerial occupations and replace the most experienced employees with younger and more educated workers. Our empirical evidence also suggests that privatization is associated with a higher level of rent sharing.
Does peripheral knowledge complement control? An empirical test in technology outsourcing alliances

While the normative logic for forming technology outsourcing alliances is that such alliances allow outsourcing firms to specialize deeper in their domain of core competence without being distracted by noncore activities, recent empirical studies have reported the puzzling phenomenon of some firms continuing to invest in RD and empirically testing it is the objective of this research study. Using data from 59 software services outsourcing alliances, we show that such peripheral knowledge and alliance control are imperfect complements: peripheral knowledge complements outcomes‐based formal control but not process‐based control. Thus, outsourcing firms might sometimes need knowledge outside their core domain because such knowledge facilitates effective alliance governance. Our theoretical elaboration and empirical testing of the assumed complementarities between peripheral knowledge and control in technology outsourcing alliances has significant implications for strategy theory and practice, which are also discussed. Copyright © 2007 John Wiley & Sons, Ltd.