Miracle-dz/UniFAR-FTUs huggingface dataset:
Swift‐Constructed Demountable Blind Bolt for Fast Execution and Disassembling of SHS Connection

In the past decades, blind bolts were developed for structural hollow section (SHS) connection, and various types of blind bolt products have been commercially available. Nevertheless, some of the existing blind bolts cannot be easily demounted without the need of machine cutting after installation. Even if some blind bolts can achieve demountable function for structure by leaving some components inside the tube during the removal process, their installation and removal speed probably require to be raised further, or their mechanical performances may need to improve further for wider application. Therefore, it is worthy to develop a demountable blind bolt that has better mechanical performance, as well as can be installed and demounted easily and fast. In this study, the swift‐constructed demountable blind bolt is proposed. Design details, installation and removal process, material selection, heat treatment selection, relevant material examinations, and fabrication method are introduced accordingly. Experimental investigation is conducted to validate the proposed objective of this proposed bolt. Test results reveal that this proposed bolt has satisfactory mechanical performance, and the improvement of bolt tensile strength compared with the existing product can be achieved appropriately.
Effects of Land-based Sources of Pollution on Coral Thermotolerance

Effects of Land-based Sources of Pollution on Coral Thermotolerance by Melissa Naugle Master of Science in Marine Science California State University Monterey Bay, 2021 Phenotypic plasticity is one way that species may cope with stressful environmental changes associated with climate change. Reef building corals present a good model for studying phenotypic plasticity because they have experienced rapid climate-driven declines in the past thirty years, often with differential survival among individuals during heat stress. One potential reason for underlying differences in thermotolerance may be due to differences in baseline levels of environmental stress. Stress associated with pollution has been shown to produce synergistic effects with heat stress, exacerbating the physiological damage of heat stress. Conversely, it is possible that mild pollution stress could prepare corals to better cope with heat stress via cross tolerance mechanisms. Cross tolerance occurs when a mild stressor prepares an organism for more extreme, subsequent stress, reducing the impact of that stressor on the organism. To examine these two possibilities, acute heat stress experiments were conducted on Acropora hyacinthus from five sites around Tutuila, American Samoa with differing pollution impact. Bleaching responses were measured visually, using photographic assessment to estimate chlorophyll content, and using pulse amplitude fluorometry to measure photosynthetic efficiency. Endosymbiont community composition was assessed at each site using quantitative PCR. RNA sequencing was used to compare differences in genes expression patterns prior to and during heat stress. Symbiont communities differed among sites, with heat tolerant Durusdinium dominating in areas with higher pollution impact and heat sensitive Cladocopium relatively more common in pristine areas. Pollution stress may induce a shift towards Durusdinium thereby enhancing resistance to subsequent heat stress in the near term. Gene expression patterns showed few differences correlating to site or pollution level. Thermotolerance, however, did correlate with gene expression patterns, both during heat stress and under control conditions. In this thesis, I present potential mechanisms underlying coral thermal tolerance in pollution-impacted areas. Our results highlight the importance of measuring pollution impacts on thermotolerance and identifying heat tolerant corals in “nonpristine” areas and their potential to seed nearby reefs following bleaching events.
GENETIC VARIABILITY AND ASSOCIATION STUDIES FOR BLAST DISEASE AND YIELD TRAITS IN F2 POPULATION OF CROSS HUR 3022 × TETEP IN RICE (ORYZA SATIVA L.)

Analysis of variance revealed significant differences for the traits studied except, weight of panicle and length breadth ratio of grain, indicating the existence of high genetic variability among individuals of F2 population. Less difference was observed between phenotypic coefficients of variation (PCV) and genotypic coefficients of variation (GCV) for all the characters studied, indicating absence of considerable effect of the environment. Higher value for both GCV and PCV were observed for number of effective tillers per plant, weight of panicle, number of filled grains per panicle, grain yield per plant, disease severity per cent and area under disease progress curve. High heritability with high genetic advance observed for number of filled grains per panicle, number of unfilled grains per panicle, spikelet fertility percent and area under disease progress curve hence selection will be highly effective for these traits. Number of effective tillers per plant, number of filled grains per panicle, plant height and spikelet fertility % showed significant positive correlation with grain yield per plant, thus performing selection for these traits will be resulted into improvement of grain yield per plant. Leaf blast infection cause significant decrease in grain yield per plant because both blast disease related traits (disease severity % and area under disease progress curve) in this study showed significant negative correlation with the grain yield per plant.
The role of organizational citizenship behavior on employee at government of Aceh

In the effort of improving the human resource (HR) quality through employee commitment, sustainable guidance is required, both the introduction of organizational culture values and also the application of work ethic (especially Islamic work ethics) to the employees involved, including in the development of government of Aceh which becomes a Measurement the success of Islamic sharia enforcement in the work environment, where Aceh is the first Areas in Indonesia that uphold the principles of sharia in the community order. The study is focused on measuring Organizational Citizenship Behavior (OCB) by using organizational commitment as mediation factors. Islamic work ethics variable has the most effect of dominant variable on organizational commitment of employees at government of Aceh and simultaneous verification shows that Islam work ethics and organizational culture simultaneously have positive and significant effects on organizational commitment of employees at government of Aceh.
Lender Automation and Racial Disparities in Credit Access

Process automation reduces racial disparities in credit access by enabling smaller loans, broadening banks' geographic reach, and removing human biases from decision‐making. We document these findings amid the Paycheck Protection Program (PPP), where private lenders faced no credit risk but decided which firms to serve. Black‐owned firms obtained PPP loans primarily from automated fintech lenders, especially in areas with high racial animus. After traditional banks automated their loan processing procedures, their PPP lending to Black‐owned firms increased. Our findings cannot be fully explained by racial differences in loan application behaviors, pre‐existing banking relationships, firm performance, or fraud rates.This article is protected by copyright. All rights reserved
A primal dual active set with continuation algorithm for high-dimensional nonconvex SICA-penalized regression

ABSTRACT The smooth integration of counting and absolute deviation (SICA) penalty has been demonstrated theoretically and practically to be effective in nonconvex penalization for variable selection and parameter estimation. However, solving the nonconvex optimization problem associated with SICA penalty in high-dimensional setting remains to be enriched, mainly due to the singularity at the origin and the nonconvexity of the SICA penalty function. In this paper, we develop a fast primal dual active set (PDAS) with continuation algorithm for solving the nonconvex SICA-penalized least squares in high dimensions. Upon introducing the dual variable, the PDAS algorithm iteratively identify and update the active set in the optimization using both the primal and dual information, and then solve a low-dimensional least square problem on the active set. When combined with a continuation strategy and a high-dimensional Bayesian information criterion (BIC) selector on the tuning parameters, the proposed algorithm is very efficient and accurate. Extensive simulation studies and analysis of a high-dimensional microarray gene expression data are presented to illustrate the performance of the proposed method.
Analisis Komparatif Abnormal Return dan Trading Volume Activity Emiten Sektor Mining Berdasarkan Pengumuman Kasus Pasien Covid-19 Pertama di Indonesia

On March 2nd 2020, the first case of Covid-19 was found in Indonesia. The purpose of this research is to analyze the reaction of the Indonesian capital market to the first case of Covid-19 using average abnormal return (AAR), cumulative abnormal return (CAR), and trading volume activity (TVA) before and after the event. The observation began seven days before and seven days after that event. The population of this research uses the data of mining sector companies listed in February and March 2020 on the BEI. The sampling technique used is purposive sampling with a total of 41 mining companies. This study uses quantitative research and the comparative method the research testing by Wilcoxon Signes Rank Test. The result showed no differences in AAR, CAR, and TVA of mining sectors between before and after the announcement of the first cases of Covid-19. Investors are expected to be more careful in making investment decisions because this pandemic has occurred for a long time and around the world.
Integrated gasification combined cycle (IGCC) technologies

Integrated Gasification Combined Cycle (IGCC) Technologies discusses this innovative power generation technology that combines modern coal gasification technology with both gas turbine and steam turbine power generation, an important emerging technology which has the potential to significantly improve the efficiencies and emissions of coal power plants. The advantages of this technology over conventional pulverized coal power plants include fuel flexibility, greater efficiencies, and very low pollutant emissions. The book reviews the current status and future developments of key technologies involved in IGCC plants and how they can be integrated to maximize efficiency and reduce the cost of electricity generation in a carbon-constrained world. The first part of this book introduces the principles of IGCC systems and the fuel types for use in IGCC systems. The second part covers syngas production within IGCC systems. The third part looks at syngas cleaning, the separation of CO2 and hydrogen enrichment, with final sections describing the gas turbine combined cycle and presenting several case studies of existing IGCC plants.Provides an in-depth, multi-contributor overview of integrated gasification combined cycle technologiesReviews the current status and future developments of key technologies involved in IGCC plantsProvides several case studies of existing IGCC plants around the world
The Relationship between Technological Innovation, Activity Based Costing and Business Size

Size is one of the most controversial influencing factors in the diffusion literature. Some authors argue that large firms have several advantages over smaller firms in the adoption of an innovation (Brown 1981), while others argue that diffusion of innovation in small firms is quicker than in large firms because of the advantages associated with small size (Acs & Audretsh, 1988; Julien, 1993; Lefebvre & Lefebvre, 1993; Riding, 1993). However, the controversy on the impact of size on diffusion of innovation has been further complicated by the mixed results of the studies investigating the relationship between size as an influential factor and diffusion of innovation (Aiken, et al., 1980; Blau & McKinley, 1979; Booth & Giacobbe, 1998; Damanpour, 1992; Dewar & Dutton, 1986; Hage, 1980; Krumwiede, 1998; Libby & Waterhouse, 1996). Shedding light on this controversy, this paper examines the relationship between business size and the diffusion of both technological innovation and activity based costing (ABC) through a longitudinal study in a single industry.
The Journal of Entrepreneurial Finance The Journal of Entrepreneurial Finance

Managing risk is one of the main activities of venture capital companies. Despite the fact that this topic is of high practical relevance, only little research was published on risk management performed by venture capital companies in their ventures. Hence, we conducted a structured literature review which was the basis for developing five hypotheses concerning measures to decrease failure risk in venture capital-backed ventures. We tested these hypotheses with an empirical data set of 93 venture capital-backed ventures in Germany using original deal data from nine different venture capital funds using a structural equation model. We showed that the experience and the skills of the corresponding investment manager have a significant negative impact on the failure risk of a venture. Investment manager´s experience and skills were measured by the working and founding experience, the technology expertise and the network size. Hence, the results emphasize the importance of the selection of the investment manager for risk management in venture capital investments.
Undular hydraulic jumps

In the past years, several studies were conducted on weak hydraulic jumps that are also referred to as undular. Their upstream Froude number is typically between 1 and 2, and their energy dissipation is extremely small when compared with direct hydraulic jumps. Studies extended to jumps in both the rectangular, and the circular profiles, with results relating mainly to the various appearances of jumps, their specific features, and design relations for hydraulic engineering.
Recruitment and Retention in mhealth Interventions for Addiction and Problematic Substance Use: A Systematic Review

Background: Disordered and problematic addictions are significant public health issues. It has been proposed that mHealth interventions can provide new models and intervention delivery modalities. However, research shows that studies that evaluate mHealth interventions for addiction disorders have low recruitment and high attrition. This study aims to identify published peer-reviewed literature on the recruitment and retention of participants in studies of mHealth interventions for people with addiction or problematic use and to identify successful recruitment and retention strategies. Methods: Relevant studies were identified through Medline, Embase, PsychINFO, and Cochrane Central Register of Controlled Trials (CENTRAL) after January 1998. Studies were limited to peer-reviewed literature and English language published up to 2023. The revised Cochrane Risk of Bias RoB 2 tool was used to assess the risk of bias. Results: Of the 2135 articles found, 60 met the inclusion criteria and were included. The majority of studies were for smoking cessation. Only three studies retained 95% of participants at the longest follow-up, with ten studies retaining less than 80% at the longest follow-up, indicating a high risk of retention bias. Those studies with high retention rates used a variety of recruitment modalities; however, they also recruited from populations already partially engaged with health support services rather than those not accessing services. Conclusions: This review of recruitment and retention outcomes with mHealth interventions highlights the need for multimodal recruitment methods. However, significant gaps in effective engagement and retention strategies limit the positive outcomes expected from mHealth interventions.
Known pathogenic gene variants and new candidates detected in Sudden Unexpected Infant Death (SUID) using Whole Genome Sequencing (WGS)

Purpose: In this study we performed WGS of children that succumbed to SUID during their first year of life to gain insights into potential genetic risk factors that could contribute to an infant's vulnerability to this tragic outcome. Methods: Whole genome sequencing was performed on 145 SUID cases, and 576 healthy adult controls. Variants were filtered by gnomAD allele frequencies and predictions of functional consequences using computational tools. Results: In 63.4% of our cohort, we identified 156 variants of interest in 86 genes, including 128 rare/ultra-rare variants in 71 genes that were previously associated with SIDS/SUID/SUDP. Eighty-eight variants were found in 43 genes that can be characterized as cardiac genes, and have previously been associated with cardiomyopathies, Brugada and Long QT syndromes, among others. Twenty-nine variants were also found in 22 genes previously reported in SIDS/SUID/SUDP that are related to neurologic function. Nineteen variants were found in 13 genes that are reported to be pathogenic for various systemic disorders, 11 of which occurred in six genes that have been previously described in SIDS/SUID/SUDP and eight that have not. We also identified 20 variants in eight genes implicated in the response to hypoxia and the regulation of reactive oxygen species (ROS) not previously described in SIDS/SUID/SUDP. Conclusion: Our study confirms and further expands the list of genetic variants associated with SUID. The abundance of genes associated with heart disease and the discovery of variants associated with redox metabolism has important mechanistic implications for the pathophysiology of SUID.
Trends of stroke severity and the association between post-stroke antithrombotics and outcomes in atrial fibrillation

Background: The impact of non-vitamin K antagonist oral anticoagulants (NOACs) on stroke severity in AF patients and the impact of changes in antithrombotic regimen following an ischaemic stroke is uncertain. Methods: A total of 63,365 patients were identified from the nationwide cohort database in Taiwan. The stroke prevention strategy before and after stroke and its association with stroke severity was analyzed. Subsequent clinical events included recurrent ischaemic stroke, ICH, major bleeding, all-cause mortality, and composite outcomes. Results: The overall OAC prescription rate was rising, with warfarin use declining and NOAC use increasing, which was associated with a decline in moderate-severe and severe strokes. Compared to NOACs post-stroke, there was an increase in ischaemic stroke and mortality in non-anticoagulated and antiplatelet users. Warfarin use post-stroke was associated with an increasedd risk of major bleeding compared to NOACs. Non-anticoagulated and antiplatelet users had higher risks of both composite outcomes compared to NOAC. Among 769 patients receiving NOACs before stroke and continued NOAC post-stroke, there was a higher risk of ischaemic stroke and composite outcomes with no difference in major bleeding, mortality, or ICH if patients were changed to a different NOAC post-stroke. Conclusion: Based on our results, NOAC use post-stroke might be superior to non-anticoagulation and antiplatelet use. Post-stroke warfarin was associated with a significantly increased risk of major bleeding compared to NOAC. A change of NOAC types post-stroke was associated with a higher risk of ischaemic stroke and composite outcomes.
Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns

Objective: The current clinical practice of psychiatric evaluation suffers from subjectivity and bias, and requires highly skilled professionals that are often unavailable or unaffordable. Objective digital biomarkers have shown the potential to address these issues. In this work, we investigated whether behavioral and physiological signals, extracted from remote interviews, provided complimentary information for assessing psychiatric disorders. Methods: Time series of multimodal features were derived from four conceptual modes: facial expression, vocal expression, linguistic expression, and cardiovascular modulation. The features were extracted from simultaneously recorded audio and video of remote interviews using task-specific and foundation models. Averages, standard deviations, and hidden Markov model-derived statistics of these features were computed from 73 subjects. Four binary classification tasks were defined: detecting 1) any clinically-diagnosed psychiatric disorder, 2) major depressive disorder, 3) self-rated depression, and 4) self-rated anxiety. Each modality was evaluated individually and in combination. Results: Statistically significant feature differences were found between controls and subjects with mental health conditions. Correlations were found between features and self-rated depression and anxiety scores. Visual heart rate dynamics achieved the best unimodal performance with areas under the receiver-operator curve (AUROCs) of 0.68-0.75 (depending on the classification task). Combining multiple modalities achieved AUROCs of 0.72- 0.82. Features from task-specific models outperformed features from foundation models. Conclusion: Multimodal features extracted from remote interviews revealed informative characteristics of clinically diagnosed and self-rated mental health status. Significance: The proposed multimodal approach has the potential to facilitate objective, remote, and low-cost assessment for low-burden automated mental health services.
NDT-EVALUATION OF SEASONAL VARIATION OF SUBGRADE RESPONSE IN ASPHALT PAVEMENTS

Several environmental variables affect pavement behavior and performance. These variables include: (i) subgrade moisture content, (ii) temperature, (iii) solar radiation and atmospheric conditions, and (iv) site geological conditions. The first two classes of variables tend to receive primary consideration in many pavement design procedures because temporal variations of these parameters are known to be significant. However, the ability to consider these effects in pavement design has been severely limited primarily due to lack of field data. This paper discusses the effects of moisture and temperature on subgrade structural response of asphalt pavements as evaluated by the Falling Weight Deflectometer (FWD).