Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Childhood Abuse on University Women’s Career Choice

A study is discussed that describes a link between childhood abuse and career choice for 12 university women. Purposive sampling was used, and the study employed a cross-case comparative approach with an emphasis on feminist principles. An interactive, collaborative interview was developed, prompting stories that reflected career choice processes. A general framework for processing the naturalistically obtained data was constant across the cases and was subjected to criteria to insure trustworthiness. Three basic themes emerged: (1) for women who were still enduring a cycle of pain and fear as a result of long-term child abuse, safety was a dominant concern; (2) women who had managed to transform their experiences approached career choice as a “mission” in order to right the wrongs of their past; and (3) negative cases that did not fit the general trend provided an opportunity to reexamine the data and the theme of distance. These results have important implications for vocational counseling and academic advising.
An Evaluation of the Apparent Interdecadal Shift in the Tropical Divergent Circulation in the NCEP–NCAR Reanalysis

Recent decadal regime shifts in the large-scale circulation of the tropical atmosphere are examined using analyses and independent observations of the circulation and precipitation. Comparisons between reanalysis products and independent observations suggest that the shifts that are apparent and significant in the reanalysis products may be artifacts of changes in the observing system and/or the data assimilation procedures.
Radiocarbon dating of glacier ice

High altitude glaciers and ice caps from mid-latit udes and tropical regions contain valuable signals of past climatic and environmental conditions as well as human activ ities, but for a meaningful interpretation this inf ormation needs to be 10 placed in a precise chronological context. For dati ng he upper part of ice cores from such sites seve ral r latively precise methods exist, but they fail in the older and deepe r part, where plastic deformation of the ice result s in strong annual layer thinning and a non-linear age-depth relationship. I f sufficient organic matter such as plant, wood or insect fragments were found, radiocarbon ( C) analysis had thus been the only option for a dir ect and absolute dating of deeper ice core sections . However such fragments are rarely found and even th very likely not at the depths and in the resolut i n desired. About 10 15 years ago, a new, complementary dating tool was the refore introduced by our group. It is based on extr acting the μg-amounts of the water-insoluble organic carbon (WIOC) fracti on of carbonaceous aerosols embedded in the ice mat rix for subsequent C dating. Meanwhile this new approach was improved considerably, thereby reducing the measurement time and improving the overall precision. Samples with ∼10 μg WIOC mass can now be dated with reasonable un c rtainty of around 10-20% (variable depending on sample age). This req uir s about 100 to 500 g of ice considering the WIO C concentrations 20 typically found in midand low-latitude glacier ic e. Dating polar ice with satisfactory age precision is still not possible since WIOC concentrations are around one order of magnitu de lower. The accuracy of the C WIOC method was validated by applying it to independently dated ice. With this m ethod the deepest parts of the ice cores from Colle Gnifetti and Mt. Ortles glacier in the European Alps, Illimani glacier in t he Bolivian Andes, Tsambagarav ice cap in the Mongo lian Altai, and Belukha glacier in the Siberian Altai have been dat e . In all cases a strong annual layer thinning tow ards bedrock was 25 observed and the oldest ages obtained were in the r ange of 10000 yrs. C WIOC-dating was not only crucial for interpretation of the embedded environmental and cl imatic histories, but additionally gave a better in sight into glacier flow dynamics close to bedrock and past glacier coverage . For this the availability of multiple dating poin ts in the deepest parts was essential, which is the strength of the present d WIOC C-dating method, allowing determination of absolute ag s from principally every piece of ice. 30
Determinants of Time Allocation to Rural Non-Farm Activities in Central America: The Role of Infrastructure and EducationI

We estimate a bivariate Tobit model to find the main determinants of time allocation to rural nonfarm employment (RNFE) among rural households in four Central American countries: ElSalvador, Guatemala, Honduras, and Nicaragua. The main effects stem from gender and schooling of the household head, as well as access to infrastructure, with evidence of infrastructure complementarities, i.e. we identify increasing share of nonfarm activities when the household has simultaneously more than one infrastructure. Households from the poorest income quartile would allocate between 3 (Guatemala) to 8 (El Salvador) additional hours to nonfarm activities if they increase their access from 0 to 2 types of infrastructure. This apparently small change in time allocation (substituting time in farm by time out of the farm, leaving leisure intact) would have non-negligible impacts in income, which would increase by 6% in Guatemala and 11% in El Salvador. Moreover, infrastructure access variables are positive for all income quartiles, but the marginal effect is positively correlated with income, i.e. the poor would benefit less than the rich. Finally, the model also shows an inverted U-shape in the relationship between the expected number of hours in RNFE and income. The more the households specialize in agriculture the less time they allocate to RFN. The richest households (roughly the top 1%) specialize in agriculture and thus allocate less time (zero in the case of El Salvador and Guatemala) to RNFE.
A new dolphin from the early Miocene of Patagonia (Argentina): insights into the evolution of Platanistoidea in the Southern Hemisphere

Cetacean Society International Learner-Gray Grant from the AMNH Sociedad Argentina para el Estudio de Mamiferos Smithsonian Institution (Remington Kellogg Fund) Society for Marine Mammalogy Agencia Nacional de Promocion Cientifica y Tecnologica PICT 0792
Calculations of Triple Differential Cross-Sections for the Ionization of H (3S) by Electron Impact

In the present study we have calculated the Triple Differential Cross-Sections (TDCS) for the ionization of metastable 3S-state hydrogen atoms at 250 eV incidence electron energy for various kinematic conditions in the asymmetric coplanar geometry. A final state wave function of multiple scattering theory [11] has been used in the present study. The present results show a good qualitative agreement with the existing hydrogenic ground state experimental data and various related theoretical results. Some results of hydrogenic metastable states are also presented here for comparisons. However there is no existing theoretical and experimental works on hydrogenic metastable 3S-state except an existing theoretical first born result of Vuc i et al. [19].
Computer analysis of the noise component in the singing voice for assessing the quality of singing

The article focuses on the analysis of a noise in singing voices using samples obtained from choral singers. Analysis of the singing voice quality is a complex task. There are various points of view and methods of analysis used to solve that problem. Musicians consider the voice of singers from the point of view of voice emission. Doctors analyzing the voice of a singer trying to determine his medical parameters. To analyze the quality of singing voice the equipment and tools characteristic for clinical practice can be used. In the analysis of the signals mentioned in the article some methods for the voice analysis have been adopted. The quality parameters of the singing voice were calculated on the basis of recorded samples. This article presents the results of research at the frontier of computer signal analysis and medicine. To achieve the goal in the study a method for the analysis of noise Noise Parameter based on GNE (Glottal-to-Noise Excitation Ratio) was used. Streszczenie. Niniejszy artykul skupia sie na analizie szumu w glosie śpiewaczym. Analiza jakości glosu śpiewaczego jest zlozonym zadaniem. W praktyce istnieją rozne podejścia do analizy zagadnienia szumu w glosie. Muzycy patrzą na glos śpiewaczy z perspektywy emisji glosu. Lekarze analizując glos śpiewaka probują ustalic jego parametry medyczne. Stosowane są przy tym narzedzia wykorzystywane do analiz medycznych. W przedstawionej w tym artykule analizie parametry jakościowe glosu śpiewaczego obliczono dla probek dźwiekowych pozyskanych od śpiewakow choralnych. Przedstawiono tutaj wyniki badan z pogranicza komputerowej analizy sygnalu i medycyny. Aby osiągnąc zalozony cel wykorzystano metody analizy parametrow szumu na podstawie wspolczynnika GNE (Glottal-to-Noise Excitation Ratio). Analiza szumu w glosie śpiewaczym
Geochemical analyses reveal the importance of environmental history for blue carbon sequestration

Coastal habitats including saltmarshes and mangrove forests can accumulate and store significant blue carbon stocks, which may persist for millennia. Despite this implied stability, the distribution and structure of intertidal‐supratidal wetlands are known to respond to changes imposed by geomorphic evolution, climatic, sea level, and anthropogenic influences. In this study, we reconstruct environmental histories and biogeochemical conditions in four wetlands of similar contemporary vegetation in SE Australia. The objective is to assess the importance of historic factors to contemporary organic carbon (C) stocks and accumulation rates. Results from the four cores—two collected from marine‐influenced saltmarshes (Wapengo marine site (WAP‐M) and Port Stephens marine site (POR‐M)) and two from fluvial influenced saltmarshes (Wapengo fluvial site (WAP‐F) and Port Stephens fluvial site (POR‐F))—highlight different environmental histories and preservation conditions. High C stocks are associated with the presence of a mangrove phase below the contemporary saltmarsh sediments in the POR‐M and POR‐F cores. 13C nuclear magnetic resonance analyses show this historic mangrove root C to be remarkably stable in its molecular composition despite its age, consistent with its position in deep sediments. WAP‐M and WAP‐F cores did not contain mangrove root C; however, significant preservation of char C (up to 46% of C in some depths) in WAP‐F reveals the importance of historic catchment processes to this site. Together, these results highlight the importance of integrating historic ecosystem and catchment factors into attempts to upscale C accounting to broader spatial scales.
Clinical Study of Selective Pericardial Devascularization on the Formation of Portal Venous Thrombosis in Portal Hypertension Patients

The formation of portal vein thrombosis in patients with postoperative recovery will have a certain impact, and bring a series of symptoms, such as melena, hematemesis, ascites and abdominal pain, which is a serious threat to the health of the patients. The clinical study of selective pericardial devascularization on the formation of postoperative venous thrombosis in portal hypertension patients is helpful to the study of the effect of devascularization on changes of portal vein blood flow and factors for the formation of venous thrombosis, so as to provide a theoretical basis for clinical diagnosis and treatment. A total of 74 patients were tested according to established criteria in a hospital for nearly three years. Through the test results, it can be seen that for the plasma viscosity, low shear viscosity, platelet count and D- two polymers content, there is a certain increase in postoperative. Through the comparative analysis of thrombosis group and non-thrombosis group, we can find that the low shear viscosity of whole blood, erythrocyte aggregation index and ESR-K are all high. Therefore, in clinical practice, we can improve the blood flow rate, flow rate and flow pattern in the pertinence, and reduce the formation of portal vein thrombosis.
Mining Auditory Hallucinations from Unsolicited Twitter Posts

Auditory hallucinations are common in people who experience psychosis and psychotic-like phenomena. This exploratory study aimed to establish the feasibility of harvesting and mining datasets from unsolicited Twitter posts to identify potential auditory hallucinations. To this end, several search queries were defined to collect posts from Twitter. A training sample was annotated by research psychologists for relatedness to auditory hallucinatory experiences and a text classifier was trained on that dataset to identify tweets related to auditory hallucinations. A number of features were used including sentiment polarity and mentions of specific semantic classes, such as fear expressions, communication tools and abusive language. We then used the classification model to generate a dataset with potential mentions of auditory hallucinatory experiences. A preliminary analysis of a dataset (N = 4957) revealed that posts linked to auditory hallucinations were associated with negative sentiments. In addition, such tweets had a higher proportionate distribution between the hours of 11pm and 5am in comparison to other tweets.
A comparison of measurement methods: terrestrial laser scanning, tachymetry and snow probing for the determination of the spatial snow-depth distribution on slopes

Abstract Determination of the spatial snow-depth distribution is important in potential avalanche-starting zones, both for avalanche prediction and for the dimensioning of permanent protection measures. Knowledge of the spatial distribution of snow is needed in order to validate snow depths computed from snowpack and snowdrift models. The inaccessibility of alpine terrain and the acute danger of avalanches complicate snow-depth measurements (e.g. when probes are used), so the possibility of measuring the snowpack using terrestrial laser scanning (TLS) was tested. The results obtained were compared to those of tachymetry and manual snow probing. Laser measurements were taken using the long-range laser profile measuring system Riegl LPM-i800HA. The wavelength used by the laser was 0.9 μm (near-infrared). The accuracy was typically within 30 mm. The highest point resolution was 30 mm when measured from a distance of 100 m. Tachymetry measurements were carried out using Leica TCRP1201 systems. Snowpack depths measured by the tachymeter were also used. The datasets captured by tachymetry were used as reference models to compare the three different methods (TLS, tachymetry and snow probing). This is the first time that the accuracy of TLS systems in snowy and alpine weather conditions has been quantified. The relative accuracy between the three measurement methods is bounded by a maximum offset of ±8 cm. Between TLS and the tachymeter the standard deviation is 1σ = 2 cm, and between manual probing and TLS it is up to 1σ = 10 cm, for maximum distances for the TLS and tachymeter of 300 m.
DigitalCommons@UNO DigitalCommons@UNO

Most ab initio pseudoknot predicting methods provide very few folding scenarios for a given RNA sequence and have low sensitivities. RNA researchers, in many cases, would rather sacrifice the specificity for a much higher sensitivity for pseudo-knot detection. In this study, we introduce the Pseudoknot Local Motif Model and Dynamic Partner Sequence Stacking (PLMM_DPSS) algorithm which predicts all PLM model pseudoknots within an RNA sequence in a neighboring-region-interference-free fashion. The PLM model is derived from the existing Pseudobase entries. The innovative DPSS approach calculates the optimally lowest stacking energy between two partner sequences. Combined with the Mfold, PLMM_DPSS can also be used in predicting complicated pseudoknots. The test results of PLMM_DPSS, PKNOTS, iterated loop matching, pknotsRG and HotKnots with Pseudobase sequences have shown that PLMM_DPSS is the most sensitive among the five methods. PLMM_DPSS also provides manageable pseudoknot folding scenarios for further structure determination.
SEMANTIC ARGUMENT CLASSIFICATION AND SEMANTIC CATEGORIZATION OF TURKISH EXISTENTIAL SENTENCES USING SUPPORT VECTOR LEARNING

SEMANTIC ARGUMENT CLASSIFICATION AND SEMANTIC CATEGORIZATION OF TURKISH EXISTENTIAL SENTENCES USING SUPPORT VECTOR LEARNING Aylin Koca M.S. in Computer Engineering Supervisor: Prof. Dr. Varol Akman September, 2004 There are three types of sentences that form all existing natural languages: verbal sentences (e.g. “I read the book.”), copulative sentences (e.g. “The book is on the table.”), and existential sentences (e.g. “There is a book on the table.”). Syntactic and semantic recognition of these sentence types are crucially important in computational linguistics although there has not been any significant work towards this end. This thesis, in an attempt to fill this evident gap, is on identifying and assigning semantic categories of Turkish existential sentences in print. Existential sentences in Turkish are minimally characterized by the two existential particles var, meaning there is/are, and yok, meaning there is/are no. In addition to these most basic meanings, other senses of existential particles are possible, which can be categorized into groups such as case existentials and possession existentials. Our system does shallow semantic parsing in defining the predicate-argument relationships in an existential sentence on a word-byword basis, via utilizing Support Vector Machines, after which it proceeds with the semantic categorization of the whole sentence. For both of these tasks, our system produces promising results, in terms of accuracy and precision/recall, respectively. Part of this research contributes to the annotation of the METU-Sabanci Turkish Treebank with semantic information.
A fiery conflict: Attachment orientations and the effects of relational conflict on sexual motivation.

This study examined the effects of relational conflict on sexual motivation. Sixty-one couples were videotaped while discussing either a major relationship problem or their daily routine. Both partners then completed measures of sexual motives and rated their romantic partner’s sexual attractiveness. Results showed that conflict discussion inhibited relationship-based motives and had an adverse effect on women’s perceptions of partner’s attractiveness, but a beneficial effect on men’s perceptions. Conflict discussion also inhibited self-serving sexual motives such as having sex to obtain relief from stress among people with avoidant partners, suggesting that people are unlikely to turn to avoidant partners for sexual consolation. Implications for understanding the role of the sexual system in regulating reactions to relationship distressful events are discussed. Relational conflict has long been considered in the clinical literature to contribute to sexual impairment in couple relationships (Kaplan, 1974; McCarthy, 1999). The presence of unresolved relational conflict and associated negative couple processes (e.g., sentiment override, negative reciprocity) may elicit negative affect and cognitions toward a partner, thereby interfering with sexual desire, arousal, and satisfaction. Clinical evidence shows that couples who suffer from sexual dysfunctions are more likely than sexually satisfied couples to experience disagreements (e.g., McCabe & Cobain, 1998) and to rely on destructive conflict resolution strategies (withdrawal, escalation; Metz & Dwyer, 1993). Improvement in couple conflict resolution strategies (e.g., constructive problem solving) can facilitate positive changes in sexual functioning (e.g., Tullman, Dornbush, Gilner, Kolodny, & Tullman, 1981). However, conclusions from clinical
Computing the resolvent of composite operators

Based in a very recent paper by Micchelli et al. [7], we present an algorithmic approach for computing the resolvent of composite operators: the composition of a monotone operator and a continuous linear mapping. The proposed algorithm can be used, for example, for solving problems arising in image processing and trac equilibrium. Furthermore, our algorithm gives an alternative to Dykstra-like method for evaluating the resolvent of the sum of two maximal monotone operators.
A Study Of The Stickiness Of Cost Of Goods Sold And Operating Costs To Changes In Sales Level In Iran

Increased competition in domestic and foreign markets has made managers to identify their costs structure and behavior better. Cost behavior is a model based on which costs response to changes in level of activity. Having invented stickiness of costs model by Anderson and Janakiraman (2003), managers are able to better predict costs behavior when increases and decreases are occurred in sales. Using above model, this research examines behavior of cost of goods sold as well as general, administrative and selling costs and studies the degree of stickiness of these costs given to decreased sales in past year and the ratio of total assets to sales. Statistical universe of the research is listed companies in Tehran Stock Exchange for a period of 10 years (2001-2010). The results indicate that cost of goods sales isn’t sticky to changes in sales however general, administrative and selling costs (SG&A costs) increase by 0.443% when there is 1% increase in sales level while 1% decrease leads to 0.261% reduction. The results also indicate that stickiness degree of SG&A costs is lower in periods previous which decreased sales were occurred and the ratio of total assets to sales as a factor of companies’ size does not effect on stickiness degree of these costs.
Evaluation the Cytotoxic Effect of Lactobacillus Acidophilus Concentrated Filtrate on Growth of Tumor Cell Lines

This study was designed to evaluate the cytotoxic effect of Lactobacillus acidophilus concentrated filtrate on growth of (AMN, REF, RD and HEPG2) tumor cell lines. The isolate obtained from vaginal swabs and identified according to culture characterictics and biochemical tests. Lb. acidophilus was grown in MRS broth media and incubated anaerobically for 24 hrs. , then culture was centrifuged and sterilized by filtration. The filtrate was concentrated to three fold, then different concentrations (125, 250, 500 and 1000 µg/ml) were prepared and tested against the four types of tumor cell lines. Results showed that concentrated filtrate of Lb. acidophilus had a significant cytotoxic effect (P≤0.05) against the growth of tumor cells used in this study at the concentrations (125, 250 and 500 µg/ml) when compared with control and the concentration (125 µg/ml) had the highest effect against (AMN, REF, RD and HEPG2) tumor cell lines which showed growth inhibition percentages (90.40, 81.22, 90.37, 84.41)% respectively while the concentration (1000 µg/ml) displayed a significant effect on the HEPG2 cell line with growth inhibition percentage (35.78%).