Miracle-dz/UniFAR-FTUs huggingface dataset:
Corrected: A Qualitative Exploration of Social Support in Males and Females Experiencing Issues With Infertility

Introduction: The purpose of this study was to qualitatively investigate and compare male and female experiences of infertility in the context of social support. Methods: A Qualtrics survey (Qualtrics, Provo, Utah, United States) was posted to online fertility support groups and the responses were thematically analyzed. Only participants that completed the qualitative component of the survey were included in the study. Responses were subsequently thematically analyzed. Results: A sample of 110 participants (13 males and 97 females) were included in the present study. Thematic analyses revealed that isolation and loneliness, stigma, sentiments of misunderstanding, insensitive reactions, and others’ unhelpful attempts at support were general recurring themes, especially amongst females. Males predominantly reported negative emotional experiences and stigma, often feeling overlooked when compared with women despite being equally affected by these issues. Conclusion: Our study provides insight into the factors that contribute to perceived isolation amongst the infertile population. These largely stemmed from feeling misunderstood and from others’ inexperience with infertility. Spreading awareness and facilitating dialogue and education across not only the infertile population but also the community, is therefore critical to begin addressing the mental health effects of infertility.
An Evaluation of Clouds and Precipitation in Convection-Permitting Forecasts for South Africa

Since 2016, the South African Weather Service (SAWS) has been running convective-scale simulations to assist with forecast operations across southern Africa. These simulations are run with a tropical configuration of the Met Office Unified Model (UM), nested in the Met Office global model, but without data assimilation. For November 2016, convection-permitting simulations at 4.4- and 1.5-km grid lengths are compared against a simulation at 10-km grid length with convection parameterization (the current UM global atmosphere configuration) to identify the benefits of increasing model resolution for forecasting convection across southern Africa. The simulations are evaluated against satellite rainfall estimates, CloudSat vertical cloud profiles, and SAWS radar data. In line with previous studies using the UM, on a monthly time scale, the diurnal cycle of convection and the distribution of rainfall rates compare better against observations when convection-permitting model configurations are used. The SAWS radar network provides a three-dimensional composite of radar reflectivity for northeast South Africa at 6-min intervals, allowing the evaluation of the vertical development of precipitating clouds and of the timing of the onset of deep convection. Analysis of four case study days indicates that the 4.4-km simulations have a later onset of convection than the 1.5-km simulations, but there is no consistent bias of the simulations against the radar observations across the case studies.
Do Financial Factors Affect Exporting Decisions?

Financial constraints are often cited as an important obstacle to firms' investment. This paper explores, for the first time, whether this conclusion also applies to firms' export market participation decisions. Using a panel of 9352 UK manufacturing firms over the period 1993-2003, we find that financially constrained firms are less likely to export. Moreover, balance sheet variables are significant determinants of firms' decisions to enter foreign markets. This happens because a healthier balance sheet makes it easier for firms to meet the sunk export market entry costs. Our results are robust to the use of different financial variables and different methods of estimation.
ERp44MediatesGeneTranscription via Inositol 1,4, 5 鄄 TrisphosphateReceptorsinHeLaCells

Increaseinnuclearcalciumconcentrationhasseveralbiologicaleffectswhichincludecontrollingcalcium-activatedgene transcription.UsingextracellularATPtoinduceintracellularcalciumtransientas amodel,Westernblotting,immunofluorescence, real-timePCRaswellasCa 2+ imagestudieswerecarriedout.Itwasfoundthatinositol1,4,5-trisphosphatereceptors(IP 3 Rs)and endoplasmicreticulumprotein44(ERp44)co-localizedonthenuclearenvelopeandendoplasmicreticulum(ER). ExtracellularATP inducednuclearcalciumtransient via IP 3 RsandsubsequentlyincreasedthecAMPresponseelementbindingprotein(CREB) phosphorylationandtheexpressionofc-Myc.However,allthesewereinhibitedby2-aminoethoxydiphenylborate(2-APB),anIP 3 Rs inhibitor,andbyover-expressionofERp44.TheseresultssuggestthatERp44inhibitsgenetranscription via IP 3 RsinHeLacells
Cosmopolitanism and the Geographies of Freedom

PrefaceProloguePart One: Universal Values 1. Kant's Anthropology and Geography2. The Postcolonial Critique of Liberal Cosmopolitanism3. The Flat World of Neoliberal Utopianism4. The New Cosmopolitans5. The Banality of Geographical EvilsPart Two: Geographical Knowledges 6. Geographical Reason7. Spacetime and the World8. Places, Regions, Territories9. The Nature of EnvironmentEpilogue: Geographical Theory and the Ruses of Geographical ReasonNotesBibliographyIndex
Burning Table Mountain: An Environmental History of Fire on the Cape Peninsula

Book synopsis: Cape Town's iconic Table Mountain and the surrounding peninsula has been a crucible for attempts to integrate the social and ecological dimensions of wild fire. This environmental history of humans and wildfire outlines these interactions from the practices of Khoikhoi herders to the conflagrations of January 2000. The region's unique, famously diverse fynbos vegetation has been transformed since European colonial settlement, through urbanisation and biological modifications, both intentional (forestry) and unintentional (biological invasions). In all the diverse visions people have formed for Table Mountain, aesthetic and utilitarian, fire has been regarded as a central problem. This book shows how scientific understandings of fire in fynbos developed slowly in the face of strong prejudices. Human impacts were intensified in the twentieth century, which provides the temporal focus for the book. The disjunctures between popular perception, expert knowledge, policy and management are explored, and the book supplements existing short-term scientific data with proxies on fire incidence trends recovered from historical records.
Temi di discussione

We analyze the potential determinants of the size of venture capital financing rounds. We employ stacked generalization and boosted trees, two of the most powerful machine learning tools in terms of predictive power, to examine a large dataset on start-ups, venture capital funds and financing transactions. We find that the size of financing rounds is mainly associated with the characteristics of the firms being financed and with the features of the countries in which the firms are headquartered. Cross-country differences in the degree of development of the venture capital industry, while highly correlated with the size of funding rounds, are not significant once we control for other country-level characteristics. We discuss how our findings contribute to the debate about policy interventions aimed at stimulating start-up financing.
Accelerating sustainable development goals in the wake of COVID-19: The role of higher education institutions in South Africa

Background: Educational institutions are strategic tools in disseminating knowledge on Sustainable Development Goals (SDGs) since education is an effective developmental tool. All the 17 SDGs are tied in one way or the other to education, that is, the ability of people to learn and apply. This study applies unorthodox theories which include convergence models, neo-functionalism, intergovernmentalism, neorealism and the Hofstede model to explain how educational institutions are an essential enabling environment which accelerates the attainment of SDGs. Methods: These factors are analysed in the context of the new coronavirus (COVID-19) pandemic. Empirically, some university case studies were highlighted in addition to unclear modus operandi, small, fragmented and heterogeneous markets and economies, political stability, deficient political will, and lack of standardisation of products and procedures among other factors. These dynamics affect both the quality of educational institutions and the quality of education thereby directly or indirectly affecting the attainment of the 17 SDGs and are compounded with the emergence of the coronavirus pandemic. Results: The study reveals that acceleration of the 17 SDGs will require a holistic approach as opposed to silos (scientific, economic, political, academic) which usually emerge when pursuing overarching goals of this magnitude. Conclusions: It concludes that accelerating progress towards the attainment of SDGs will not only require dynamic and visionary leadership but also well-functioning institutions which are based on economic feasibility as opposed to political alliances. Priorities should be placed on addressing poverty, inequality and quality education. Moreover, partnerships will be key in achieving sustainability especially given that the COVID-19 pandemic has compounded existing challenges.
A rapid extraction of landslide disaster information research based on GF-1 image

In recent years, the landslide disasters occurred frequently because of the seismic activity. It brings great harm to people's life. It has caused high attention of the state and the extensive concern of society. In the field of geological disaster, landslide information extraction based on remote sensing has been controversial, but high resolution remote sensing image can improve the accuracy of information extraction effectively with its rich texture and geometry information. Therefore, it is feasible to extract the information of earthquake- triggered landslides with serious surface damage and large scale. Taking the Wenchuan county as the study area, this paper uses multi-scale segmentation method to extract the landslide image object through domestic GF-1 images and DEM data, which uses the estimation of scale parameter tool to determine the optimal segmentation scale; After analyzing the characteristics of landslide high-resolution image comprehensively and selecting spectrum feature, texture feature, geometric features and landform characteristics of the image, we can establish the extracting rules to extract landslide disaster information. The extraction results show that there are 20 landslide whose total area is 521279.31 ㎡. Compared with visual interpretation results, the extraction accuracy is 72.22%. This study indicates its efficient and feasible to extract earthquake landslide disaster information based on high resolution remote sensing and it provides important technical support for post-disaster emergency investigation and disaster assessment.
USING e-ANNOTATION TOOLS FOR ELECTRONIC PROOF CORRECTION

the Vegetation an of above-ground live of the plant estimated Values of 11 plant traits from ﬁ eld measurements and data bases. dispersion of the trait values of the plots were quanti ﬁ ed by community-weighted means and ’ s quadratic entropy. convergence and divergence were randomization tests, the of changes in effect size the productivity by ﬁ tting generalized additive mixed models the possible trait values, under more benign conditions various water and nutrient use strategies are adaptable. At high productivity, the strength of divergence in regenerative traits decreased. Since the larger diversity of vegetative traits found here reduces competition, the importance of diverse reproductive strategy is probably assembly on on the environmental conditions of resource by ltering, restriction is conditions are by 10
Urokinase Salvage Therapy for Recurrent Chronic Subdural Hematoma Caused by Dual Antiplatelet Therapy

Chronic subdural hematoma (cSDH) is one of the most common neurosurgical conditions among older adults. Here, we describe a case of recurrent cSDH resulting from seven days of dual antiplatelet therapy. A 76-year-old woman reported a headache resembling a chronic tension-type headache for the last 10 days. MRI revealed a right parietal cSDH and left frontoparietal cSDH. Single burr-hole aspiration and irrigation technique with continuous closed subdural drainage was performed bilaterally under general anesthesia. The patient experienced two bouts of transient ischemic attack and received seven days of dual antiplatelet therapy. On the 12th day after the initial surgery, the patient underwent another operation to re-evacuate the cSDH. Considering that the color of the output fluid persisted as oil-black and the average net output was 12.5 cc/day, we decided to use urokinase to restore the patency of the drainage catheter. In the early postoperative phase after the second surgery, a total of 20,000 units of urokinase was injected into the subdural space. On the 10th postoperative day, the patient was discharged home. In patients with cSDH presenting with obvious postoperative hematoma residue, the routine use of subdural injection of urokinase could be a new direction in cSDH management.
Exploring the Connection between Immigration and Violent Crime Exploring the Connection between Immigration and Violent Crime Rates in US Cities, 1980-2000 Rates in US Cities, 1980-2000

A popular perception is that immigration causes higher crime rates. Yet, historical and contemporary research finds that at the individual level, immigrants are not more inclined to commit crime than the native born. Knowledge of the macro-level relationship between immigration and crime, however, is characterized by important gaps. Most notably, despite the fact that immigration is a macro-level social process that unfolds over time, longitudinal macro-level research on the immigration-crime nexus is virtually nonexistent. Moreover, while several theoretical perspectives posit sound reasons why over-time changes in immigration could result in higher or lower crime rates, we currently know little about the veracity of these arguments. To address these issues, this study investigates the longitudinal relationship between immigration and violent crime across U.S. cities and provides the first empirical assessment of theoretical perspectives that offer explanations of that relationship. Findings support the argument that immigration lowers violent crime rates by bolstering intact (two-parent) family structures
ON THE PROCESS OF SUMMER MONSOON ONSET OVER EAST ASIA

Using daily observational rainfall data covered 194 stations of China from 1961 to 1995 and NCEP model analyzed pentad precipitation data of global grid point from 1979 to 1997, the distribution of onset date of rainy season over Asian area from spring to summer is studied in this paper. The analyzed results show that there exist two stages of rainy season onset over East Asian region from spring to summer rainy season onset accompanying subtropical monsoon and tropical monsoon respectively. The former rain belt is mainly formed by the convergence of cold air and the recurved southwesterly flow from western part of subtropical high and westerly flow from the so-called western trough of subtropical region occurring during winter to spring over South Asia. The latter is formed in the process of subtropical monsoon rain belt over inshore regions of South China Sea originally coming from south of Changjiang (Yangtze) River Basin advancing with northward shift of subtropical high after the onset of tropical monsoon over South China Sea. The pre-flood rainy season over South China region then came into mature period and the second peak of rainfall appeared. Meiyu, the rainy season over Changjiang-Huaihe River Basin and North China then formed consequently. The process of summer tropical monsoon onset over South China Sea in 1998 is also discussed in this paper. It indicated that the monsoon during summer tropical monsoon onset over South China Sea is the result of the westerly flow over middle part of South China Sea,which is from the new generated cyclone formed in north subtropical high entering into South China Sea, converged with the tropical southwesterly flow recurved by the intensified cross-equatorial flow.
Subseasonal variability in a two-level atmospheric general circulation model

approved: Dr. Steven K. Esbensen The dynamical processes which maintain atmospheric disturbances in regions of strong wintertime variability of the northern hemisphere are examined using data from a GCM simulation. Time series of the dependent variables and diabatic heating components from 10 Northern Hemisphere winters simulated by the Oregon State University two-level GCM are used. Variance and covariance analyses are performed to determine the geographical distribution of the intensities and transport properties of high-frequency (periods between 2.5 and 10 days) and low-frequency (periods between 10 days and a season) eddies. These are compared with existing observations and the discrepancies are discussed in terms of their dynamical consistency with the time-mean circulation. The energetics of high-frequency and low-frequency eddies are studied. It is found that the behavior of high-frequency eddies is consistent with baroclinic instability theory. Low-frequency eddies appear to be maintained mainly by a high-latitude baroclinic energy cycle. Energy conversions characteristic of barotropic processes are also significant at jet-stream-latitudes. The process of wave-energy dispersion is found to be an important factor governing the geographical distribution of low-frequency activity at middle latitudes. The nature of the systems causing low-frequency variability over the North Pacific Ocean is examined by applying complex EOF analysis to the time series of geopotential height anomalies. The first eigenmode of this analysis describes a wave of planetary scale extending Redacted for Privacy from northeastern Asia to the Gulf of Mexico across the North Pacific basin. While the phase of this wave retrogrades along the continental borders of the ocean basin, energy propagates in the opposite direction and penetrates as far as the central North Atlantic. The dynamical characteristics of this disturbance are examined by complex covariance analysis between the first mode's principal component and the dependent-variable fields. It is found that the disturbance grows mainly through baroclinic processes with some contribution from barotropic processes. On the basis of these results it is proposed that the observed differences between the highand low-frequency disturbances result from their being generated in different geographical regions where sphericity and the properties of the stationary flow cause baroclinic growth of structurally different modes. Subseasonal Variability in a Two-Level Atmospheric General Circulation Model
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning

Vision-language pre-training models (VLP) are vulnerable, especially to multimodal adversarial samples, which can be crafted by adding imperceptible perturbations on both original images and texts. However, under the black-box setting, there have been no works to explore the transferability of multimodal adversarial attacks against the VLP models. In this work, we take CLIP as the surrogate model and propose a gradient-based multimodal attack method to generate transferable adversarial samples against the VLP models. By applying the gradient to optimize the adversarial images and adversarial texts simultaneously, our method can better search for and attack the vulnerable images and text information pairs. To improve the transferability of the attack, we utilize contrastive learning including image-text contrastive learning and intra-modal contrastive learning to have a more generalized understanding of the underlying data distribution and mitigate the overfitting of the surrogate model so that the generated multimodal adversarial samples have a higher transferability for VLP models. Extensive experiments validate the effectiveness of the proposed method.
CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits

This paper proposes a non-monetary traffic demand management scheme, named CARMA, as a fair solution to the morning commute congestion. We consider heterogeneous commuters traveling through a single bottleneck that differ in both the desired arrival time and Value of Time (VOT). We consider a generalized notion of VOT by allowing it to vary dynamically on each day (e.g., according to trip purpose and urgency), rather than being a static characteristic of each individual. In our CARMA scheme, the bottleneck is divided into a fast lane that is kept in free flow and a slow lane that is subject to congestion. We introduce a non-tradable mobility credit, named karma, that is used by commuters to bid for access to the fast lane. Commuters who get outbid or do not participate in the CARMA scheme instead use the slow lane. At the end of each day, karma collected from the bidders is redistributed, and the process repeats day by day. We model the collective commuter behaviors under CARMA as a Dynamic Population Game (DPG), in which a Stationary Nash Equilibrium (SNE) is guaranteed to exist. Unlike existing monetary schemes, CARMA is demonstrated, both analytically and numerically, to achieve a) an equitable traffic assignment with respect to heterogeneous income classes and b) a strong Pareto improvement in the long-term average travel disutility with respect to no policy intervention. With extensive numerical analysis, we show that CARMA is able to retain the same congestion reduction as an optimal monetary tolling scheme under uniform karma redistribution and even outperform tolling under a well-designed redistribution scheme. We also highlight the privacy-preserving feature of CARMA, i.e., its ability to tailor to the private preferences of commuters without centrally collecting the information.
Autoimmunity Reviews

Europe have collaborated to carry out this registry. Cases with obstetric complaints related to antiphospholipid antibodies (aPL) who tested positive for aPL at least twice were included prospectively and retrospectively. The seven-year survey results are reported. Results: 1000 women with 3553 episodes were included of which 2553 were historical and 1000 were latest episodes. All cases ful ﬁ lled the Sydney classi ﬁ cation criteria. According to the laboratory categories, 292 (29.2%) were in category I, 357 (35.7%) in IIa, 224 (22.4%) in IIb and 127 (12.7%) in IIc. Miscarriages were the most prevalent clinical manifestation in 386 cases (38.6%). Moreover, the presence of early preeclampsia (PE) and early foetal growth restriction (FGR) appeared in 181 (18.1%) and 161 (16.1%), respectively. In this series, 448 (44.8%) women received the recommended OAPS treatment. Patients with recommended treatment had a good live-birth rate (85%), but worse results (72.4%) were obtained in patients with any treatment (low-dose aspirin (LDA) or low-molecular-weight heparin (LMWH) not on recommended schedule, while patients with no treatment showed a poor birth rate (49.6%). Conclusion: In this series, recurrent miscarriage is the most frequent poor outcome. To avoid false-negative diagnoses, all laboratory category subsets were needed. OAPS cases have very good foetal-maternal outcomes when treated. Results suggest that we were able to improve our clinical practice to o ﬀ er better treatment and outcomes to OAPS patients.