Miracle-dz/UniFAR-FTUs huggingface dataset:
Deciphering Entrepreneurial Pitches: A Multimodal Deep Learning Approach to Predict Probability of Investment

Acquiring early-stage investments for the purpose of developing a business is a fundamental aspect of the entrepreneurial process, which regularly entails pitching the business proposal to potential investors. Previous research suggests that business viability data and the perception of the entrepreneur play an important role in the investment decision-making process. This perception of the entrepreneur is shaped by verbal and non-verbal behavioral cues produced in investor-entrepreneur interactions. This study explores the impact of such cues on decisions that involve investing in a startup on the basis of a pitch. A multimodal approach is developed in which acoustic and linguistic features are extracted from recordings of entrepreneurial pitches to predict the likelihood of investment. The acoustic and linguistic modalities are represented using both hand-crafted and deep features. The capabilities of deep learning models are exploited to capture the temporal dynamics of the inputs. The findings show promising results for the prediction of the likelihood of investment using a multimodal architecture consisting of acoustic and linguistic features. Models based on deep features generally outperform hand-crafted representations. Experiments with an explainable model provide insights about the important features. The most predictive model is found to be a multimodal one that combines deep acoustic and linguistic features using an early fusion strategy and achieves an MAE of 13.91.
A Multimodal Approach to Investigate the Role of Cognitive Workload and User Interfaces in Human-robot Collaboration

One of the primary aims of Industry 5.0 is to refine the interaction between humans, machines, and robots by developing human-centered design solutions to enhance Human-Robot Collaboration, performance, trust, and safety. This research investigated how deploying a user interface utilizing a 2-D and 3-D display affects participants’ cognitive effort, task performance, trust, and situational awareness while performing a collaborative task using a robot. The study used a within-subject design where fifteen participants were subjected to three conditions: no interface, display User Interface, and mixed reality User Interface where vision assistance was provided. Participants performed a pick-and-place task with a robot in each condition under two levels of cognitive workload (i.e., high and low). The cognitive workload was measured using subjective (i.e., NASA TLX) and objective measures (i.e., heart rate variability). Additionally, task performance, situation awareness, and trust when using these interfaces were measured to understand the impact of different user interfaces during a Human-Robot Collaboration task. Findings from this study indicated that cognitive workload and user interfaces impacted task performance, where a significant decrease in efficiency and accuracy was observed while using the mixed reality interface. Additionally, irrespective of the three conditions, all participants perceived the task as more cognitively demanding during the high cognitive workload session. However, no significant differences across the interfaces were observed. Finally, cognitive workload impacted situational awareness and trust, where lower levels were reported in the high cognitive workload session, and the lowest levels were observed under the mixed reality user interface condition.
M1-derived extracellular vesicles polarize recipient macrophages into M2 and alter skeletal muscle homeostasis in a hyper-glucose environment

Background Macrophages release not only cytokines but also extracellular vesicles (EVs). EVs are small lipid-derived vesicles with virus-like properties transferring lipids, RNA and proteins between cells. Until now, the consequences of macrophage plasticity on the release and the composition of EVs have been poorly explored. In this study, we determined the impact of high-glucose (HG) concentrations on macrophage metabolism, and characterized their derived EV subpopulations. Finally, we determined whether HG-treated macrophage-derived EVs participate in immune responses and in metabolic alterations of skeletal muscle cells. Methods THP1-macrophages (M0) were treated with 15mM (MG15) or 30mM (MG30) glucose. M1 or M2 canonical markers, pro– and anti-inflammatory cytokines and lactate production were evaluated. Macrophage-derived EVs were characterized by TEM, flow cytometry, and 1H-Nuclear magnetic resonance spectroscopy for lipid composition. M0 macrophages or C2C12 muscle cells were used as recipients of MG15 and MG30-derived EVs. The lipid profiles of recipient cells were determined, as well as protein and mRNA levels of relevant genes for macrophage polarization or muscle metabolism. Results M0 released 2 populations of small and large EVs (sEVs, lEVs) with specific lipid profiles. Proportionally to the glucose concentration, glucose-treatment induced glycolysis in M0 macrophages which consequently shifted into a pro-inflammatory M1 phenotype, containing increased triacylglycerol and cholesterol content. Glucose also affected macrophage sphingolipid and phospholipid compositions. The lipid profile differences between sEVs and lEVs were abolished and represented the lipid profile alterations of MG15 and MG30 macrophages. Both sEVs and lEVs from M15 and M30 macrophages polarized M0 into anti-inflammatory M2, with increased contents of triacylglycerol and cholesterol. MG15 lEVs and sEVs induced insulin-induced AKT hyper-phosphorylation and accumulation of triacylglycerol in muscle cells, a state observed in pre-diabetes. Conversely, MG30 lEVs and sEVs induced insulin resistance in myotubes. Conclusions As inflammation involves first M1 macrophages, then the activation of M2 macrophages to attenuate inflammation, this study demonstrates that the dialog between macrophages through the EV route is an intrinsic part of the inflammatory response. In a hyperglycemic context, EV macrophages could participate in the development of muscle insulin-resistance and chronic inflammation.
A Simple Numerical Method on the Partial Reflection and Transmission of Water Waves in the Hyperbolic Mild-Slope Equation

ABSTRACT Chun, J.; Song, G.C. , and Ahn, K. , 2013. A simple numerical method on the partial reflection and transmission of water waves in the hyperbolic mild-slope equation. This article presents a new numerical method for the partial reflection and transmission of water waves in the hyperbolic mild-slope equation. When the reflection or transmission coefficients of the breakwater are known, the present numerical method can be used to calculate the partial reflection and transmission around it in a simple manner. This method has been validated through several numerical experiments. The computed results showed that the present model successfully predicted the partial reflection and transmission of the water waves from the breakwater, regardless of the wave periods under the constraint of the reflection coefficient >0.2. Numerical experiments have also been conducted in permeable, semi-infinite breakwater problem with various reflection and transmission coefficients under normal and oblique incident wave conditions. The numerical results were compared with analytic solutions of Yu (1995) and McIver (1999), which were found to be in good agreement between the numerical results and the analytical solutions.
Influence of monaural auditory stimulation combined with music on brain activity

Recently, the increasing attention to mental states and psychophysical health has fueled the research into methods that can aid in relaxation and recovery. Traditional methods like meditation and sauna, while effective, have their limitations; thus, the need for more accessible and convenient alternatives. Our innovative approach combines monaural beats with music, attempting to replicate the relaxing effects of a sauna in the auditory domain. In comparison to normal music and silent condition, the power of the theta active band significantly increased when listening to our modified music. Furthermore, after listening to modified music, there was a significant increase in mismatch negativity (MMN) amplitude in the oddball task. Additionally, participants’ subjective responses to a questionnaire indicated significant changes in body relaxation and other metrics after listening to the processed music. This state is considered similar to the “totonou” state previously reported for the sauna. Thus, the present research proposes a convenient method for achieving relaxation, opening an avenue for individuals to customize their “totonou” music based on personal preferences.
Antagonists of the stress and opioid systems restore the functional connectivity of the prefrontal cortex during alcohol withdrawal through divergent mechanisms

Chronic alcohol consumption leads to dependence and withdrawal symptoms upon cessation, contributing to persistent use. However, the brain network mechanisms by which the brain orchestrates alcohol withdrawal and how these networks are affected by pharmacological treatments remain elusive. Recent work revealed that alcohol withdrawal produces a widespread increase in coordinated brain activity and a decrease in modularity of the whole-brain functional network using single-cell whole-brain imaging of immediate early genes. This decreased modularity and functional hyperconnectivity are hypothesized to be novel biomarkers of alcohol withdrawal in alcohol dependence, which could potentially be used to evaluate the efficacy of new medications for alcohol use disorder. However, there is no evidence that current FDA-approved medications or experimental treatments known to reduce alcohol drinking in animal models can normalize the changes in whole-brain functional connectivity. In this report, we tested the effect of R121919, a CRF1 antagonist, and naltrexone, an FDA-approved treatment for alcohol use disorder, on whole-brain functional connectivity using the cellular marker FOS combined with graph theory and advanced network analyses. Results show that both R121919 and naltrexone restored the functional connectivity of the prefrontal cortex during alcohol withdrawal, but through divergent mechanisms. Specifically, R121919 increased FOS activation in the prefrontal cortex, partially restored modularity, and normalized connectivity, particularly in CRF1-rich regions, including the prefrontal, pallidum, and extended amygdala circuits. On the other hand, naltrexone decreased FOS activation throughout the brain, decreased modularity, and increased connectivity overall except for the Mu opioid receptor-rich regions, including the thalamus. These results identify the brain networks underlying the pharmacological effects of R121919 and naltrexone and demonstrate that these drugs restored different aspects of functional connectivity of the prefrontal cortex, pallidum, amygdala, and thalamus during alcohol withdrawal. Notably, these effects were particularly prominent in CRF1-and Mu opioid receptors-rich regions highlighting the potential of whole-brain functional connectivity using FOS as a tool for identifying neuronal network mechanisms underlying the pharmacological effects of existing and new medications for alcohol use disorder.
Marine cements reveal the structure of an anoxic, ferruginous Neoproterozoic ocean

Neoproterozoic oceans provided the setting for the rise of animals, yet little is known of their chemical composition. Marine carbonates from the Cryogenian Oodnaminta Reef Complex, South Australia, reveal the chemical structure of a Neoproterozoic ocean. Pseudo-depth profiles from shallow- to deep-water reef facies have been constructed from geochemical and sedimentological analysis of marine cements. Evidence suggests that under a peritidal oxic–anoxic chemocline, the water column was largely anoxic, strongly ferruginous and had a chemistry profoundly different from that of modern seawater. These geochemical data suggest early Archaean-like conditions for this late Cryogenian ocean, posing problems for metazoan evolution in extremely anoxic conditions. Supplementary material: Detailed methods and data tables are available at www.geolsoc. org.uk/SUP18764.
Increased ocean heat transports and warmer climate

We investigated the effect of increased ocean heat transports on climate in the Goddard Institute for Space Studies (GISS) general circulation model (GCM). The increases used were sufficient to melt all sea ice at high latitudes, and amounted to 15% on the global average. The resulting global climate is 2°C warmer, with temperature increases of some 20°C at high latitudes, and 1°C near the equator. The warming is driven by the decreased sea ice/planetary albedo, a feedback which would appear to be instrumental for producing extreme high-latitude amplification of temperature changes. Resulting hydrologic and wind stress changes suggest that qualitatively, for both the wind-driven and thermohaline circulation, the increased transports might be self-sustaining. As such, they would represent a possible mechanism to help account for the high-latitude warmth of climates in the Mesozoic and Tertiary, and decadal-scale climate fluctuations during the Holocene, as well as a powerful feedback to amplify other climate forcings. It is estimated that ocean transport increases of 50–70% would have been necessary to reproduce the warmth of various Mesozoic (65–230 m.y. ago) climates without changes in atmospheric composition, while the 15% increase used in these experiments would have been sufficient to reproduce the general climatic conditions of the Eocene (40–55 Ma). A companion experiment indicates that increased topography during the Cenozoic (0–65 Ma) might have altered the surface wind stress in a manner that led to reduced heat transports; this effect would then need to be considered in understanding the beginning of ice ages. Colder climates, or rapid climate perturbations, might have been generated with the aid of such altered ocean transports. The large high-latitude amplification associated with ocean heat transport and sea ice changes differs significantly from that forecast for increased trace gases, for which water vapor increase is the primary feedback mechanism. The different signatures might allow for discrimination of these different forcings; e.g., the warming of the 1930s looks more like the altered ocean heat transport signal, while the warming of the 1980s is more like the trace gas effect. The actual change of ocean heat transport and deep water circulation both in the past and in the future represents a great uncertainty.
Warming Up a Cold Front-End with Ignite

Serverless computing is a popular software deployment model for the cloud, in which applications are designed as a collection of stateless tasks. Developers are charged for the CPU time and memory footprint during the execution of each serverless function, which incentivizes them to reduce both runtime and memory usage. As a result, functions tend to be short (often on the order of a few milliseconds) and compact (128–256 MB). Cloud providers can pack thousands of such functions on a server, resulting in frequent context switches and a tremendous degree of interleaving. As a result, when a given memory-resident function is re-invoked, it commonly finds its on-chip microarchitectural state completely cold due to thrashing by other functions — a phenomenon termed lukewarm invocation.Our analysis shows that the cold microarchitectural state due to lukewarm invocations is highly detrimental to performance, which corroborates prior work. The main source of performance degradation is the front-end, composed of instruction delivery, branch identification via the BTB and the conditional branch prediction. State-of-the-art front-end prefetchers show only limited effectiveness on lukewarm invocations, falling considerably short of an ideal front-end. We demonstrate that the reason for this is the cold microarchitectural state of the branch identification and prediction units. In response, we introduce Ignite, a comprehensive restoration mechanism for front-end microarchitectural state targeting instructions, BTB and branch predictor via unified metadata. Ignite records an invocation’s control flow graph in compressed format and uses that to restore the front-end structures the next time the function is invoked. Ignite outperforms state-of-the-art front-end prefetchers, improving performance by an average of 43% by significantly reducing instruction, BTB and branch predictor MPKI.CCS CONCEPTS• Computer systems organization → Architectures; Cloud computing.
Determination of heel strike and toe-off in the running stride using an accelerometer: Application to field-based gait studies

This study examined the validity of using an accelerometer to determine heel strike and toe-off during the running stride for use in field-based gait studies. Synchronised ground reaction force and accelerometer (±1.25Gz and ±12Gz) data were collected from six males running at constant speed across a force plate. Two attachments sites for the accelerometer were examined, the hip and the ankle. Attachment of the accelerometer to the ankle provided a highly distinguishable and repeatable pattem. The identification of heel strike and toe-off via the accelerometer signal was determined by calculation of the lag time from the acceleration peak after ground impact. The lag times were calculated to be 65±5msec for heel strike and 15±2msec for toe-off. The results of this stUdy provide evidence that heel strike and toe off can be accurately determined using an accelerometer.
Labor Demand

We will now complete our discussion of the components of a labor market by considering a firm’s choice of labor demand, before we consider equilibrium. We will now revisit the production function from your microeconomics course. Let the production function with labor hours (E) and capital (K) as factors of production be ( ) K E f q , = Where f is increasing and concave in E, and K. Let’s first consider the scenario of a firm in a competitive goods, and factor market. The profit function is then ( ) rK wE K E pf rK wE pq − − = − − = , π The first order condition tells us that the firm will hire labor up to the point where the value of the marginal product of labor (VMP ) equates with the wage rate. E ( ) w VMP w K E pf
PENGARUH PENGUMUMAN DIVIDEN TERHADAP HARGA SAHAM PERUSAHAAN SEKTOR KEUANGAN PADA SAAT EX- DIVIDEND DATE DI BURSA EFEK INDONESIA (BEI) PADA TAHUN 2008

Skripsi ini bertujuan untuk mengetahui apakah terdapat pengaruh dari pengumuman dividen terhadap harga saham perusahaan sektor keuangan pada saat ex-dividend date di Bursa Efek Indonesia pada tahun 2008. Penulis membagi sampel menjadi dua kelompok yaitu kelompok dividen naik dan kelompok dividen turun. Kelompok dividen naik terdiri dari 11 emiten sektor keuangan dan pada kelompok dividen turun terdiri dari 3 emitern sektor keuangan. Sedangkan periode penelitian terdiri dari 21 hari yang terdiri dari 10 hari sebelum event date, 1 hari ketika event date dan 10 hari setelah event date. Metode yang digunakan dalam penelitian ini adalah event study dengan mengamati pergerakan saham di pasar modal. Kemudian untuk menguji apakah terdapat reaksi harga maka dilakukan tes abnormal return selama periode peristiwa dengan Capital Asset Pricing Model (CAPM) dan dengan melakukan pengujian abnormal return terhadap dividen naik dan dividen turun pada saat ex- dividend date. Berdasarkan hasil yang diperoleh dapat diketahui bahwa pada kelompok dividen naik ataupun kelompok dividen turun, perubahan harga saham perusahaan sektor keuangan pada tahun 2008 berhubungan dengan adanya pengumuman dividen, kecuali pada t+3 kelompok dividen turun. Pada hasil uji statistik, keseluruhan kelompok dividen harga sahamnya dapat dipengaruhi oleh adanya pengumuman deviden. Hal ini menunjukkan bahwa investor ternyata tidak hanya memperhatikan hal-hal yang bersifat kuantitatif atau berupa angka namun juga memperhatikan hal-hal yang bersifat kualitatif seperti pengumuman dividen.
Genetically-programmed, Mesenchymal Stromal Cell-laden & Mechanically 1 Strong 3D Bioprinted Scaffolds for Bone Repair 2

: 32 Additive manufacturing processes used to create regenerative bone tissue engineered 33 implants are not biocompatible, thereby restricting direct use with stem cells and 34 usually require cell seeding post-fabrication. Combined delivery of stem cells with the 35 controlled release of osteogenic factors, within a mechanically-strong biomaterial 36 combined during manufacturing would replace injectable defect fillers (cements) and 37 allow personalized implants to be rapidly prototyped by 3D bioprinting. 38 Through the use of direct genetic programming via the sustained release of an 39 exogenously delivered transcription factor RUNX2 (delivered as recombinant GET- 40 RUNX2 protein) encapsulated in PLGA microparticles (MPs) , we demonstrate that 41 human mesenchymal stromal (stem) cells (hMSCs) can be directly fabricated into a 42 thermo-sintered 3D bioprintable material and achieve effective osteogenic 43 differentiation. Importantly we observed osteogenic programming of gene expression 44 by released GET-RUNX2 (8.2-, 3.3- and 3.9-fold increases in OSX, RUNX2 and OPN 45 expression, respectively) and calcification (von Kossa staining) in our scaffolds. The 46 developed biodegradable PLGA/PEG paste formulation augments high-density bone 47 development in a defect model (~2.4-fold increase in high density bone volume) and 48 can be used to rapidly prototype clinically-sized hMSC-laden implants within minutes 49 using mild, cytocompatible extrusion bioprinting. 50 ability to create mechanically strong cancellous ‘bone-like’ printable implants for 51 tissue repair that contain stem cells and controlled-release of programming factors is 52 innovative, and will facilitate the of novel localized delivery approaches 53 to direct cellular behaviour for many regenerative applications including
Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Paci�c frontal boundaries

Global oceanographic monitoring initiatives started by measuring abiotic essential ocean variables but are currently incorporating biological and metagenomic sampling. There is, however, a large gap between the taxonomic information produced by bacterial genomic analyses and information on bacterial functions, which is sought by biogeochemists, ecologists, and modellers. Here, we provide a mechanistic understanding of how a bacterial marker gene (16S rRNA) can be used to derive latitudinal trends for core metabolic pathways and, ultimately, be used for mapping ecosystem function change in global monitoring campaigns. From a transect spanning 7000 km in the South Paci�c Ocean we identi�ed ten metabolic pathways, which were related to ecological processes of primary productivity, temperature-regulated growth, coping strategies for nutrient limitation, energy metabolism, and degradation. We compared and contrasted these metabolic pathways with measured physico-biochemical parameters within and between oceanographic provinces, and found that functional diversity is as affected by oceanographic boundaries as is taxonomic composition. This study demonstrates that bacterial marker gene data, sampled and analysed with low costs and high throughput, can be used to infer on metabolic changes at the community scale. Such analyses may provide insight into the drivers of ecological changes and, overall, into the effects of biodiversity on marine ecosystem functioning.