Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Startup Success with Text Analysis

Investors are interested in predicting future success of startup companies, preferably using publicly available data which can be gathered using free online sources. Using public-only data has been shown to work, but there is still much room for improvement. Two of the best performing prediction experiments use 17 and 49 features respectively, mostly numeric and categorical in nature. In this paper, we significantly expand and diversify both the sources and the number of features (to 171) to achieve better prediction. Data collected from Crunchbase, the Google Search API, and Twitter (now X) are used to predict whether a company will raise a round of funding within a fixed time horizon. Much of the new features are textual and the Twitter subset include linguistic metrics such as measures of passive voice and parts-of-speech. A total of ten machine learning models are also evaluated for best performance. The adaptable model can be used to predict funding 1-5 years into the future, with a variable cutoff threshold to favor either precision or recall. Prediction with comparable assumptions generally achieves F scores above 0.730 which outperforms previous attempts in the literature (0.531), and does so with fewer examples. Furthermore, we find that the vast majority of the performance impact comes from the top 18 of 171 features which are mostly generic company observations, including the best performing individual feature which is the free-form text description of the company.
Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning

Mobile traffic data in urban regions shows differentiated patterns during different hours of the day. The exploitation of these patterns enables highly accurate mobile traffic prediction for proactive network management. However, recent Deep Learning (DL) driven studies have only exploited spatiotemporal features and have ignored the geographical correlations, causing high complexity and erroneous mobile traffic predictions. This paper addresses these limitations by proposing an enhanced mobile traffic prediction scheme that combines the clustering strategy of daily mobile traffic peak time and novel multi Temporal Convolutional Network with a Long Short Term Memory (multi TCN-LSTM) model. The mobile network cells that exhibit peak traffic during the same hour of the day are clustered together. Our experiments on large-scale real-world mobile traffic data show up to 28% performance improvement compared to state-of-the-art studies, which confirms the efficacy and viability of the proposed approach.
You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception

Human-centric perception (e.g. pedetrian detection, segmentation, pose estimation, and attribute analysis) is a long-standing problem for computer vision. This paper introduces a unified and versatile framework (HQNet) for single-stage multi-person multi-task human-centric perception (HCP). Our approach centers on learning a unified human query representation, denoted as Human Query, which captures intricate instance-level features for individual persons and disentangles complex multi-person scenarios. Although different HCP tasks have been well-studied individually, single-stage multi-task learning of HCP tasks has not been fully exploited in the literature due to the absence of a comprehensive benchmark dataset. To address this gap, we propose COCO-UniHuman benchmark dataset to enable model development and comprehensive evaluation. Experimental results demonstrate the proposed method's state-of-the-art performance among multi-task HCP models and its competitive performance compared to task-specific HCP models. Moreover, our experiments underscore Human Query's adaptability to new HCP tasks, thus demonstrating its robust generalization capability. Codes and data will be publicly accessible.
Cellular uptake of active nonspherical nanoparticles

Due to the potential applications in biomedical engineering, it becomes more and more important to understand the process of engulfment and internalization of nanoparticles (NPs) by cell membranes. Despite the fact that the interaction between cell membranes and passive particles has been widely studied, the interaction between cell membranes and self-propelled nonspherical NPs remains to be elucidated. Here we present a theoretical model to systematically investigate the influence of the active force, aspect ratio of NPs, particle size and membrane properties (adhesion energy density and membrane tension) on the cellular uptake of a nonspherical nanoparticle. It is found that the active force generated by an NP can trigger a type of first-order wrapping transition from a small partial wrapping state to a large one. In addition, the phase diagram in the force-aspect ratio (particle size, adhesion energy density and membrane tension) space displays more complex behaviors compared with that for the passive wrapping mediated merely by adhesion. These results may provide a useful guidance to the study of activity-driven cellular entry of active particles into cells.
Arabidopsis Pht1;5 Mobilizes Phosphate between Source and Sink Organs and Influences the Interaction between Phosphate Homeostasis and Ethylene Signaling1[W][OA]

Phosphorus (P) remobilization in plants is required for continuous growth and development. The Arabidopsis (Arabidopsis thaliana) inorganic phosphate (Pi) transporter Pht1;5 has been implicated in mobilizing stored Pi out of older leaves. In this study, we used a reverse genetics approach to study the role of Pht1;5 in Pi homeostasis. Under low-Pi conditions, Pht1;5 loss of function (pht1;5-1) resulted in reduced P allocation to shoots and elevated transcript levels for several Pi starvation-response genes. Under Pi-replete conditions, pht1;5-1 had higher shoot P content compared with the wild type but had reduced P content in roots. Constitutive overexpression of Pht1;5 had the opposite effect on P distribution: namely, lower P levels in shoots compared with the wild type but higher P content in roots. Pht1;5 overexpression also resulted in altered Pi remobilization, as evidenced by a greater than 2-fold increase in the accumulation of Pi in siliques, premature senescence, and an increase in transcript levels of genes involved in Pi scavenging. Furthermore, Pht1;5 overexpressors exhibited increased root hair formation and reduced primary root growth that could be rescued by the application of silver nitrate (ethylene perception inhibitor) or aminoethoxyvinylglycine (ethylene biosynthesis inhibitor), respectively. Together, these data indicate that Pht1;5 plays a critical role in mobilizing Pi from P source to sink organs in accordance with developmental cues and P status. The study also provides evidence for a link between Pi and ethylene signaling pathways.
Anthropogenic influence on the frequency of extreme temperatures in China

Anthropogenic influence on the frequencies of warm days, cold days, warm nights, and cold nights are detected in the observations of Chinese temperature data covering 1958–2002. We used an optimal fingerprinting method to compare these temperature indices computed from a newly homogenized observational data set with those from simulations conducted with multiple climate models that participated in the Coupled Model Intercomparison Project Phase 5. We found the clear anthropogenic signals in the observational records of frequency changes in warm and cold days and nights. We also found that the models appear to be doing a better job in simulating the observed frequencies of daytime extremes than nighttime extremes. The model‐simulated variability appears to be consistent with that of the observations, providing confidence on the detection results. Additionally, the anthropogenic signal can be clearly detected at subnational scales, with detectable human influence found in Eastern and Western China separately.
Spatial Structure of the Island Economy of Indonesia: A New Hybrid Procedure for Generation Inter-regional Input-Output Tables

The research reported in this monograph had two main objectives. The first objective was to assess the relevance, feasibility and practicality of modeling the spatial structure of a developing island economy using a hybrid procedure to generate inter-regional input-output tables. The second objective was to apply the procedure to study the spatial structure of the island economy of Indonesia. The model proved useful for analyzing the spatial structure of the island economy of Indonesia as well as the impact of policy simulations. It offers five further contributions : (1) an evaluation of the current methods used to construct single-region and inter-regional input-output tables in Indonesia; (2) the development of an appropriate hybrid procedure to construct both single-region and inter-regional input-output tables for an island economy in a developing country; (3) an application of the inter-regional input-output model to analyze the spatial structure of Indonesia’s island economy; (4) developmental methods of validating inter-regional input-output tables; and (5) analysis of the sectoral, spatial and spatial-sector significance of an island economy.
Pseudospectral Shattering, the Sign Function, and Diagonalization in Nearly Matrix Multiplication Time

We exhibit a randomized algorithm which given a matrix $A\in \mathbb{C}^{n\times n}$ with $\|A\|\le 1$ and $\delta>0$, computes with high probability an invertible $V$ and diagonal $D$ such that $\|A-VDV^{-1}\|\le \delta$ using $O(T_{MM}(n)\log^2(n/\delta))$ arithmetic operations, in finite arithmetic with $O(\log^4(n/\delta)\log n)$ bits of precision. Here $T_{MM}(n)$ is the number of arithmetic operations required to multiply two $n\times n$ complex matrices numerically stably, known to satisfy $T_{MM}(n)=O(n^{\omega+\eta})$ for every $\eta>0$ where $\omega$ is the exponent of matrix multiplication (Demmel et al., Numer. Math., 2007). Our result significantly improves the previously best known provable running times of $O(n^{10}/\delta^2)$ arithmetic operations for diagonalization of general matrices (Armentano et al., J. Eur. Math. Soc., 2018), and (with regards to the dependence on $n$) $O(n^3)$ arithmetic operations for Hermitian matrices (Dekker and Traub, Lin. Alg. Appl., 1971). It is the first algorithm to achieve nearly matrix multiplication time for diagonalization in any model of computation (real arithmetic, rational arithmetic, or finite arithmetic), thereby matching the complexity of other dense linear algebra operations such as inversion and $QR$ factorization up to polylogarithmic factors. The proof rests on two new ingredients. (1) We show that adding a small complex Gaussian perturbation to any matrix splits its pseudospectrum into $n$ small well-separated components. In particular, this implies that the eigenvalues of the perturbed matrix have a large minimum gap, a property of independent interest in random matrix theory. (2) We give a rigorous analysis of Roberts' Newton iteration method (Roberts, Int. J. Control, 1980) for computing the sign function of a matrix in finite arithmetic, itself an open problem in numerical analysis since at least 1986.
Analysis Competency, Employee Resilience, and Leadership Impact on Organization Performance the Freight Forwarding Company

This study aims to see the relationship between variables and analyze the factors that cause a decrease in organizational performance. This research uses a literature review study to systematically review previous articles to see the correlation with the current research, the results are there is a relationship between all independent variables on the dependent variable. This finding can really be a novelty in qualitative research, organizational performance can increase with competency, employee resilience, and leadership at a company's international freight forwarding. In previous research, there are many other independent variables that can improve organizational performance but they are not mentioned in this study. Within a limited time frame, the researchers determined which independent variable was most dominant.
Palmier, efficacité curative du nématode Steinemema carpocapsae contre le papillon palmivore Paysandisia archon: résultats d'essais conduits dans des jardins et espaces verts

Dans le cadre du programme PAYSARCH (1) , des strategies curatives de lutte biologique contre le papillon palmivore (Paysandisia archon Burmeister, 1880) ont ete testees in situ. Les applications de nematodes Steinernema carpocapsae (Weiser, 1955), ont ete positionnees au printemps ou a l'automne. Un interet a ete montre de maniere generale, une bonne efficacite ayant ete atteinte sur des palmiers faiblement ou nouvellement infestes. Les conditions d'application des essais n'ont pas permis une bonne regularite des traitements pour l'ensemble des sites mais ont permis de mieux comprendre les pratiques professionnelles et les contraintes courantes sur le terrain.
Thermodynamic Investigation of an Integrated Gasification Plant with Solid Oxide Fuel Cell and Steam Cycles

Abstract A gasification plant is integrated on the top of a solid oxide fuel cell (SOFC) cycle, while a steam turbine (ST) cycle is used as a bottoming cycle for the SOFC plant. The gasification plant was fueled by woodchips to produce biogas and the SOFC stacks were fired with biogas. The produced gas was rather clean for feeding to the SOFC stacks after a simple cleaning step. Because all the fuel cannot be burned in the SOFC stacks, a burner was used to combust the remaining fuel. The off-gases from the burner were then used to produce steam for the bottoming steam cycle in a heat recovery steam generator (HRSG). The steam cycle was modeled with a simple single pressure level. In addition, a hybrid recuperator was used to recover more energy from the HRSG and send it back to the SOFC cycle. Thus two different configurations were investigated to study the plants characteristic. Such system integration configurations are completely novel and have not been studied elsewhere. Plant efficiencies of 56% were achieved under normal operation which was considerably higher than the IGCC (Integrated Gasification Combined Cycle) in which a gasification plant is integrated with a gas turbine and a steam turbine. Furthermore, it is shown that under certain operating conditions, plant efficiency of about 62 is also possible to achieve.
Testing Ground‐Motion Prediction Equations against Small‐to‐Moderate Magnitude Data in Iran

Abstract The original aim of the present study was to test the efficiency of some selected ground‐motion prediction equations (GMPEs) against small‐to‐moderate data recorded in the Iranian plateau. For this purpose, we applied three statistical tests including the Nash–Sutcliffe model efficiency coefficient (Nash and Sutcliffe, 1970) and likelihood and log‐likelihood methods (Scherbaum et al. , 2004, 2009) to assess performance of eight GMPEs against a comprehensive databank from small‐to‐moderate magnitude data in Iran. Two of the candidate models were selected from Japanese models, and the rest were chosen from regions with shallow crustal earthquakes including local models corresponding to the Iranian earthquakes, regional models established for the Middle East and Euro‐Mediterranean regions, and global models (developed for shallow crustal environments). We analyzed a high‐quality dataset composed of 937 ground‐motion records from 296 Iranian earthquakes with moment magnitude ranging between 3.9 and 5.0 and epicentral distances of up to 100 km. In conclusion, Zafarani et al. (unpublished manuscript, 2015; see Data and Resources) as a ground‐motion model valid for a magnitude range as small as M 4.0 is the only model that shows good consistency with the recorded data over all frequencies. This emphasizes the importance of region‐dependent anelastic attenuation and the necessity to develop more elaborate local GMPEs for small‐to‐moderate earthquakes, which are also very important from the viewpoint of epistemic uncertainty.
Pinaceous Wood from the Lower Cretaceous (Barremian—Early Aptian) of California, USA; Lower Chickabally Member, Budden Canyon Formation

Abstract. The Budden Canyon Formation is a Cretaceous unit spanning the Valanginian—Turonian interval in northern California. This marine unit includes plant-fossiliferous near-shore sequences, with richest plant fossil occurrences in the Hauterivian—Aptian. The Lower Chickabally Member (Barremian—early Aptian, ca. 125 Ma) hosts a rich flora preserved anatomically in carbonate concretions, near the town of Ono. The material is dominated by conifers: wood, foliage, cones and dispersed seeds. We characterize the anatomy of a coniferous trunk. The wood exhibits axial and radial resin canals with thick-walled epithelial cells, distinct growth rings, and conspicuous early to late wood transition. Axial tracheids bear radial uniseriate and opposite biseriate pitting. Rays are uniseriate with biseriate portions, with scarce ray tracheids and taxodioid cross-field pitting. Traumatic resin canals form extensive tangential bands. The axial and radial resin canals indicate pinaceous affinities for the Ono wood, but several characters make it different from most extant Pinaceae. The specimen is most similar to Picea Dietrich, from which it differs in cross-field pitting. Among fossil Mesozoic genera, the Ono wood is similar to Palaeopiceoxylon Kräusel and Protocedroxylon Gothan, and to the Pinuxylon-Laricioxyion-Piceoxylon group, but is not entirely consistent with any of these genera. Pinaceous affinity of the Ono wood is consistent with presence in the Budden Canyon Formation of several types of pinaceous foliage and ovulate cones that are, however, not assignable to any extant genus in the family. Together, these indicate the presence in the unit of stem-group Pinaceae that await reconstruction as whole plants.
Prevention of Stunting Through Intervention during the Preconception Period for Prospective Brides

: This The nutritional status of the prospective bride or pre-marital woman for three or six months during the pre-conception period will determine the condition of the baby being born. The prerequisites for perfect nutrition during the pre-conception period are the key to the birth of normal and healthy babies as one of the specific nutrition intervention efforts to prevent stunting cases. This study aims to examine the effect of counseling intervention methods using pocket books and leaflets on increasing knowledge, attitudes and behavior regarding preconceptional nutrition of the prospective bride and groom.Methods: This study uses a design Quasi-Experimental with one group before and after intervention design. Result: Based on the results of the bivariate test, it is known that there is a significant influence of the counseling method using pocket books and leaflets on increasing knowledge, attitudes and behavior regarding preconceptional nutrition of the prospective bride and groom. Conclusion: Intervention of counseling methods using pocket books and leaflets has an effect on increasing knowledge, attitudes and behavior about the preconceptional nutrition of the prospective bride and groom
Foreland Architecture, Erosion and Active Shortening of the Puli Topographic Embayment, Taiwan

The contemporary presence of the Puli Topographic Embayment (PTE) within the Taiwanese thrust belt provides insight into processes that initiate and maintain a subcritical state in a thin-skinned compressive wedge. Orogen-scale analyses of Taiwan have succeeded in describing the processes and interactions that affect overall development of the thrust belt, however relatively little is known about which processes or boundary conditions control first order organization of strain at intermediate scales within the orogenic wedge. We investigate spatial and temporal scales of variation in the overall topographic and structural architecture of a critical wedge and explore the boundary conditions that affect very rapid shortening and erosion at intermediate scales on the order of 10 kilometers and 10-10 years. Causal links between the structural and synorogenic stratigraphic architecture of the foreland basin and coincidence of the Puli Topographic Embayment provide a valuable case study of the effects of changing boundary conditions (e.g. variable erodibility or strength of rocks along strike) controlling the evolution of critically tapered thin-skinned orogens. Deeper and relatively more rapid incision of river networks into a thicker sequence of unconsolidated synorogenic sediments in the central western foreland may affect the onset of a topographically subcritical state, and currently affects the kinematics of active thrusting.
Digital Commons@Georgia Southern Digital Commons@Georgia Southern

: The USA is the third-leading cotton-producing country worldwide and cotton farming is common in the state of Georgia. Cotton harvest can be a signiﬁcant contributor to airborne microbial exposures to farmers and nearby rural communities. The use of respirators or masks is one of the viable options for reducing organic dust and bioaerosol exposures among farmers. Unfortunately, the OSHA Respiratory Protection Standard (29 CFR Part 1910.134) does not apply to agricultural workplaces and the ﬁltration efﬁciency of N95 respirators was never ﬁeld-tested against airborne microorganisms and antibiotic resistance genes (ARGs) during cotton harvesting. This study addressed these two information gaps. Airborne culturable microorganisms were sampled using an SAS Super 100 Air Sampler in three cotton farms during cotton harvesting, and colonies were counted and converted to airborne concentrations. Genomic DNA was extracted from air samples using a PowerSoil ® DNA Isolation Kit. A series of comparative critical threshold (2 − ∆∆ CT ) real-time PCR was used to quantify targeted bacterial (16S rRNA) genes and major ARGs. Two N95 facepiece respirator models (cup-shaped and pleated) were evaluated for their protection against culturable bacteria and fungi, total microbial load in terms of surface ATP levels, and ARGs using a ﬁeld experimental setup. Overall, culturable microbial exposure levels ranged between 10 3 and 10 4 CFU/m 3 during cotton harvesting, which was lower when compared with bioaerosol loads reported earlier during other types of grain harvesting. The ﬁndings suggested that cotton harvesting works can release antibiotic resistance genes in farm air and the highest abundance was observed for phenicol. Field experimental data suggested that tested N95 respirators did not provide desirable >95% protections against culturable microorganisms, the total microbial load, and ARGs during cotton harvesting.