Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining Women’s Sexual Assault Victimization Experiences since Entering College via Two Behavioral Assessments

ABSTRACT Measuring sexual assault experiences is considered a methodological challenge in survey research. Researchers can test the validity of sexual assault measures by comparing responses to different, albeit related, measures of sexual assault to determine if they identify similar groups of women. The goal of this study was to compare two measures of sexual assault victimization to determine if women report experiencing sexual assault in both assessments. Cisgender college women (n = 902) completed two separate measures of sexual victimization: the Sexual Coercion Inventory (SCI) and Sexual Experience Survey-Short Form Victimization (SES-SFV). Responses to both measures were coded to identify different sexual assault experiences (i.e., unwanted touching, attempted, and completed oral, vaginal, or anal rape) resulting from verbal coercion, threats of force, and use of force since enrolling in the university. Results suggested the SES-SFV produced higher overall rates of sexual assault experiences than the SCI. Specifically, the SES-SFV elicited more non-consensual sexual experiences resulting from threats and use of force, whereas the SCI elicited more non-consensual sexual experiences resulting from verbal coercion. Findings suggested discrepant responding across the two measures. Development of comprehensive sexual assault measures that fully capture women’s victimization experiences is warranted.
Five Facts About the Distributional Income Effects of Monetary Policy

We document five facts about the distributional income effects of monetary policy shocks using Swedish administrative individual-level data. (i) The effects of monetary policy shocks are U shaped over the income distribution—that is, expansionary shocks increase the incomes of high- and low-income individuals relative to middle-income individuals. (ii) The large effects in the bottom are accounted for by the labor-income response and (iii) those in the top by the capital-income response. (iv) The heterogeneity in the labor-income response is due to the earnings heterogeneity channel, whereas (v) that in the capital-income response is due to the income composition channel. (JEL D31, E32, E52, J31)
PLANT PATHOLOGY AND NEMATOLOGY Delayed Maturity and Associated Yield Loss in Cotton Infected by the Columbia Lance (Hoplolaimus columbus Sher) Nematode

Traditional agronomic practices are often ineffective in preventing cotton (Gossypium hirsutum L.) yield losses due to the Columbia lance (CLN) nematode (Hoplolaimus columbus Sher), so control relies heavily on nematicides. Field experiments were conducted at two locations in 1996 and 1997 to document plant parameters affected by CLN and to determine yield losses in fields with low to moderate levels of CLN. Fumigation with 56 L ha -1 1,3-dichloropropene (1,3-D) resulted in a 77% reduction in CLN population densities at planting and a 21% increase in cotton yield across both locations and years. Plant mapping was conducted at first-bloom and at harvest to document the affects of CLN on cotton plant and yield parameters in order to explain yield losses induced by CLN. Yield losses were due to a 22% reduction in the number of harvestable (open) bolls in plants affected by CLN. Whole-plant mapping showed that second position harvestable boll retention of plants affected by CLN was 50% less than non-affected plants. Machine- and hand-picked (sequential dates prior to machine harvest) cotton yields resulted in delayed maturity of infected plants by 32% and 8% in 1996 and 1997, respectively. Understanding which plant parameters are affected by CLN can aid in the development of more productive management schemes that involve either cultivar selection, timing of defoliation, or planting dates and can further aid cotton breeders in the potential development of tolerant cultivars.
Multi-dimensional sensorimotor grounding of concrete and abstract categories

Semantic categories, and the concepts belonging to them, have commonly been defined by their relative concreteness, that is, their reliance on perception. However, sensorimotor grounding must be regarded as going beyond the basic five senses and incorporate a multi-dimensional variety of perceptual and action experience. We present a series of exploratory analyses examining the sensorimotor grounding of participant-produced member concepts for 117 categories, spanning concrete (e.g. animal and furniture) and highly abstract (e.g. unit of time and science) categories. We found that both concrete and abstract categories are strongly grounded in multi-dimensional sensorimotor experience. Both domains were dominated by vision and, to a lesser extent, head movements, but concrete categories were more grounded in touch and hand–arm action, while abstract categories were more grounded in hearing and interoception. Importantly, this pattern of grounding was not uniform, and subdomains of concrete (e.g. ingestibles, animates, natural categories and artefacts) and abstract (e.g. internal, social and non-social) categories were grounded in different profiles of sensorimotor experience. Overall, these findings suggest that the distinction between abstract and concrete categories is not as clearcut as ontological assumptions might suggest, and that the strength and diversity of sensorimotor grounding in abstract categories must not be underestimated. This article is part of the theme issue ‘Concepts in interaction: social engagement and inner experiences’.
Piezoelectric energy harvester converting strain energy into kinetic energy for extremely low frequency operation

In this study, we developed a flexible energy harvester that uses the frequency up-conversion mechanism. The harvester is composed of a flexible piezoelectric cantilever and substrate, and it can scavenge energy from deformation or strain by converting it into a mechanical vibration of the cantilever. We found experimentally that the output voltage of the harvester not affected by an input frequency as long as the strain was large enough, and there was no lower limit of the input frequency. The critical strain, i.e., the threshold radius of curvature of the harvester, could be modulated by adjusting magnetic force; therefore, it is possible to optimally apply the harvester to various deformation ranges. The maximum and average power density at 0.5 Hz of input frequency was measured to be 320 μW/cm2 and 6.8 μW/cm2 for a resistive load of 10 MΩ.
Modeling Global and Local Interactions for Online Conversation Recommendation

The popularity of social media platforms results in a huge volume of online conversations produced every day. To help users better engage in online conversations, this article presents a novel framework to automatically recommend conversations to users based on what they said and how they behaved in their chatting histories. While prior work mostly focuses on post-level recommendation, we aim to explore conversation context and model the interaction patterns therein. Furthermore, to characterize personal interests from interleaving user interactions, we learn (1) global interactions, represented by topic and discourse word clusters to reflect users’ content and pragmatic preferences, and (2) local interactions, encoding replying relations and chronological order of conversation turns to characterize users’ prior behavior. Built on collaborative filtering, our model captures global interactions via discovering word distributions to represent users’ topical interests and discourse behaviors, while local interactions are explored with graph-structured networks exploiting both reply structure and temporal features. Extensive experiments on three datasets from Twitter and Reddit show that our model coupling global and local interactions significantly outperforms the state-of-the-art model. Further analyses show that our model is able to capture meaningful features from global and local interactions, which results in its superior performance in conversation recommendation.
Coexistence between selected pathogens in honey bee workers

Abstract The aim of the study was to determine the occurrence of Nosema apis, N. ceranae, Lotmaria passim, Crithidia mellificae and Varroa destructor pathogens in bee colonies located in areas with different floral sources of pollen, and to identify the correlations between these pathogens. The study was conducted in three Polish regions: Warmia and Mazury (A), Mazowsze (B) and Wielkopolska (C). Three apiaries were analyzed in each region: A1, A2 and A3 in region A; B1, B2 and B3 in region B; and C1, C2 and C3 in region C. Ten bee colonies without any symptoms of disease were randomly selected from each apiary. Pathogens were identified by PCR in pooled samples of 30 worker bees each. Samples from 90 (100%) honey bee colonies from 9 apiaries were analyzed. N. ceranae was detected in 68 samples (76.75%), and N. apis was identified in 19 samples (21.11%) but never alone and always in co-infection with N. ceranae. Lotmaria passim was present in 49 samples (54.44%). The presence of V. destructor females was determined in 44 samples (48.89%). Coexistence between L. passim, N. apis and N. ceranae were observed in selected regions.
Failure analysis requirements for nanoelectronics

Failure analysis (FA) plays a vital role in the development and manufacture of integrated circuits (ICs). But instrumental limits are already threatening FA in the tenth-micron CMOS realm, and nanoelectronic scale devices will find key analytical tools two orders of magnitude removed in capability. This paper will introduce state of the art microelectronic failure analysis processes, instrumentation, and principles. It will discuss the major limitations and future prospects projected using industry roadmaps. Specifically highlighted is the need for fault isolation methodology for failure analysis of fully integrated nanoelectronics devices.
Emitter Uniformity and Application Efficiency for Centre‐ Pivot Irrigation Systems

A significant portion of the intensively cultivated agricultural areas in the Southern Great Plains of the USA is located in the Texas High Plains. Agriculture in this region mainly depends on water from the vast underground Ogallala Aquifer. Due to excess withdrawal and a slow recharge process, groundwater levels are declining in many areas of the aquifer. Recently, regulations have been enacted in the Texas High Plains for restricting the amount of water pumped from the Ogallala Aquifer. In addition to pumping restrictions, conserving water by promoting irrigation systems with high application efficiency is also a priority. We investigated the emitted uniformity and application efficiency of 14 centre‐pivot irrigation systems in the Texas High Plains. Application efficiencies were in the range of 60–70% for mid‐elevation spray application (MESA) systems, 70–80% for low‐elevation spray application (LESA) systems, and greater than 90% for low‐energy precision application (LEPA) systems. Correction of the small number of defective emitters per system would not realize significant water savings. However, water savings could be realized by switching from MESA or LESA to LEPA, assuming the choice of crop allowed it. Copyright © 2015 John Wiley & Sons, Ltd.
EFL language assessment literacy among Jordanian EFL secondary school teachers

The study aims to define EFL language assessment literacy among Jordanian EFL secondary school teachers. The study sample consisted of (214) EFL teachers at Irbid Governorate selected using random sampling method. To achieve the study objectives, a questionnaire consisted of (36) items was distributed on the study sample. The study showed that knowledge level of language assessment among Jordanian EFL teachers was low. The study revealed statistically significant differences in the knowledge level of language assessment among Jordanian EFL teachers due to years of experience, in favor of more than 10 years and due to qualification, in favor of PhD, while there were no statistically significant differences in light of gender. In light of the results the study suggests to pay more attention by university administrations to design training programs able to fulfill the actual needs of EFL pre-service teachers in Jordan. Keywords: Assessment Literacy, EFL Language.
Micropulse Transscleral Cyclophotocoagulation as Primary Surgical Treatment for Primary Open Angle Glaucoma in Taiwan during the COVID-19 Pandemic

Glaucoma is the leading cause of irreversible blindness worldwide, with primary open angle glaucoma (POAG) accounting for the greatest number of total glaucoma cases. This study aimed to evaluate the efficacy and safety of micropulse transscleral cyclophotocoagulation (MP-TSCPC) as a primary procedure in POAG during the COVID-19 pandemic. We retrospectively analyzed 60 eyes of 52 patients, who were diagnosed with mild-to-end-stage POAG without previous glaucoma surgery and received MP-TSCPC between 1 January 2020 and 31 August 2020. The mean preoperative intraocular pressure (IOP) significantly decreased from 27.8 mm Hg to 19.8, 20.1, 20.3, 20.4, and 20.2 mm Hg at 1, 3, 6, 9, and 12 months, respectively (all p < 0.05). The mean number of IOP-lowering medications used significantly decreased from 3.3 at the baseline to 1.6, 1.8, 1.8, 1.9, and 1.9 at 1, 3, 6, 9, and 12 months, respectively (all p < 0.001). Total withdrawal of antiglaucoma medications was fulfilled in five patients. The main outcome was achieved in 81.7% at postoperative month 12. The most common adverse effect was transient mydriasis (28.3%). No major complications were encountered. MP-TSCPC seems to be an effective and safe treatment to reduce IOP and the medication burden with minimal vision-threatening complications in mild-to-end-stage POAG patients without previous glaucoma surgery.
Filter Paper Column for Measuring Transient Suction Profiles in Expansive Clay

An inexpensive experimental system for measuring suction profiles during transient moisture movement processes in unsaturated expansive clays was developed. The system relies on measurements of total suction using the noncontact filter paper technique at several stations along a onedimensional soil column. Performance of the system was demonstrated for a column of compacted Ca2+-smectite undergoing evaporation at the top boundary under ambient laboratory conditions for 91 days. The system was most applicable during latter stages of drying when the rate of moisture movement was slow enough to be adequately captured by the required 7-day measurement interval and the suction values are large enough to offset scatter. Final water content and suction profiles were determined gravimetrically and compared with values obtained from the filter paper measurements. Desiccation cracking did not significantly affect the accuracy of the filter paper system. The research forms an experimental basis to develop or verify theoretical models aimed at predicting moisture flux for in situ expansive soil subject to infiltration or evaporation processes.
Outcomes from international workshop on thermoactive geotechnical systems for near-surface geothermal energy: from research to practice

Abstract This paper summarizes the main outcomes of an NSF sponsored workshop focused on thermoactive geotechnical systems for near surface geothermal energy. A group of 55 researchers from around the world gathered in March 2013 for a 3 day workshop in Lausanne, Switzerland to discuss the current status of the linkages between geotechnical engineering and near surface geothermal energy. This paper provides a summary of the state of the art in characterization of materials in thermally active geotechnical systems, as well as our understanding of the thermal and thermomechanical behavior of these systems. The paper also includes a review of available thermal and thermomechanical design methods, along with associated lessons learned from implementation of thermally active systems. A discussion of the emerging technologies at the interface between geotechnical engineering and near surface geothermal energy indicates that there are many opportunities to transfer knowledge between different fields. A list of current challenges and the associated research agenda for the future identified during the workshop indicates that many important challenges have been overcome but there are still important issues that need to be solved.
The public sector's perspective on procuring public works projects ‐ comparing the views of practitioners in Hong Kong and Australia

Abstract Hong Kong has been one of the early jurisdictions to adopt Public Private Partnership (PPP) model for delivering large public infrastructure projects. The development of this procurement approach in Hong Kong has followed an intricate path. As such, it is believed that there are a number of areas which are interesting to unveil. As part of a comprehensive research study looking at implementing PPPs, interviews with experienced local industrial practitioners from the public sector were conducted to realize their perspective on the topic of procuring public works projects. Amongst these interviews, fourteen were launched government officials and advisers. The interview findings show that the majority of the Hong Kong and Australian interviewees had previously conducted some kind of research in the field of PPP. Both groups of interviewees agreed that “PPPs gain private sector's added efficiency/expertise/management skills” when compared to projects procured traditionally. Also, both groups of inter.
Salivary Uric Acid: A Noninvasive Wonder for Clinicians?

This review is a summary of the modern-day approach and recent trend in the determination of uric acid in the saliva of humans and its use in diagnosis by clinicians. Uric acid, which is the end product obtained from the breakdown of purine nucleotides, is an important biomarker associated with various conditions. Uric acid is found in various body fluids, such as serum, plasma, and urine. It can be used as an important tool for various diseases, such as gout and hyperuricemia, or conditions that are associated with increased oxidative stress. Recently, there has been an emergence of studies that have utilized uric acid concentrations measured in the saliva and studied its association with various diseases. Salivary uric acid can prove to be a noninvasive method to provide a diagnosis of serious illness. A raised uric acid level in the saliva can be associated with cancer, human immunodeficiency virus (HIV) infection, gout, and hypertension. A reduced level of salivary uric acid on the other hand can be a marker for Alzheimer’s disease, progression of multiple sclerosis, and impairment of cognition. Online search databases, including Google Scholar, Scopus, PubMed, and Web of Science, were searched, and articles that were published before September 2021 based on salivary uric acid analysis were analyzed for this review. Uric acid is an essential biomarker that has antioxidant properties. Assessment of salivary uric acid levels was found to be essential in conditions such as cancer, metabolic syndrome, neurological conditions, psychiatric conditions, human immunodeficiency virus, and gout and in monitoring treatment of hyperuricemia. Although having importance in diagnosis and therapeutic monitoring, salivary uric acid analysis has not gained enough popularity due to limitations such as saliva collection and sample processing issues. With proper education and standardization, salivary uric acid analysis can be used as a cost-effective and noninvasive tool for getting a clue about antioxidant biomarker concentration in saliva and hence various diseases associated with oxidative stress.
Student Learning Index and Student Performance in Engineering Statics

Within higher education, there is an expectation from the various stakeholders that learning will occur. How learning occurs can differ from student to student. Felder and Silverman [1] knew this when creating the Index of Learning Styles. Students must receive and process information in order to learn, but how they do so may impact their performance in class. This study examines how much the Index of Learning Styles can explain their grade achievement in an engineering statics class. Surveying and analyzing 40 students ILS scores and grade achievement in an engineering statics class, a sequential multiple regression analysis was performed to determine if their learning style could explain their grade achievement in the class. This study suggests that how students prefer to receive information, either sensing or intuitive, explains their performance in the class the most.
Variations of horizontal stiffness of laminated rubber bearings using new boundary conditions

Base isolation is, in recent times, an accepted design philosophy as an earthquake resistant strategy for structural systems and sensitive instruments. Predicting the behavior of laminated rubber bearings, usually obtained from Haringx’s theory, has been developed by many researchers. They have proposed a nonlinear, mechanical model for multilayer elastomeric bearings. However, in past theoretical and experimental studies, the effects of rotation in the bottom and top ends of bearings have been neglected. In this study, an analytical method is presented and formulated by considering the rotation of the top and bottom ends of multilayer rubber bearings, as new boundary conditions. According to these rotations, the horizontal stiffness of laminated rubber bearings, which is the one of the most important characteristics of bearings, will change. Comparisons of theoretical and experimental results show that the present analysis model has a good accuracy for analyzing laminated rubber bearings. Examples are presented to demonstrate the validity of the development method in predicting the horizontal stiffness of laminated elastomeric bearings with specified geometric parameters. The results of this study have shown that the horizontal stiffness of laminated rubber bearings will increase or decrease according different boundary conditions.
Medium- vs. Short-Term Consumer Inflation Expectations: Evidence from a New Euro Area Survey

Using the ECB Consumer Expectations Survey, this paper investigates how consumers revise medium-term inflation expectations. We provide robust evidence of their adjustment to the current economic developments. In particular, consumers adjust medium-term inflation views in response to changes in short-term inflation expectations and, to a lesser degree, to changes in perceptions of current inflation. We find that the strong adverse Covid-19 pandemic shock contributed to an increase in consumer inflation expectations. We show that consumers who declare high trust in the ECB adjust their medium-term inflation expectations to a lesser degree than consumers with low trust. Our results increase understanding of expectations formation, which is an important issue for medium-term oriented monetary policy.