Miracle-dz/UniFAR-FTUs huggingface dataset:
Harnessing Code Interpreters for Enhanced Predictive Modeling: A Case Study on High-Density Lipoprotein Level Estimation in Romanian Diabetic Patients

Diabetes is a condition accompanied by the alteration of body parameters, including those related to lipids like triglyceride (TG), low-density lipoproteins (LDLs), and high-density lipoproteins (HDLs). The latter are grouped under the term dyslipidemia and are considered a risk factor for cardiovascular events. In the present work, we analyzed the complex relationships between twelve parameters (disease status, age, sex, body mass index, systolic blood pressure, diastolic blood pressure, TG, HDL, LDL, glucose, HbA1c levels, and disease onset) of patients with diabetes from Romania. An initial prospective analysis showed that HDL is inversely correlated with most of the parameters; therefore, we further analyzed the dependence of HDLs on the other factors. The analysis was conducted with the Code Interpreter plugin of ChatGPT, which was used to build several models from which Random Forest performed best. The principal predictors of HDLs were TG, LDL, and HbA1c levels. Random Forest models were used to model all parameters, showing that blood pressure and HbA1c can be predicted based on the other parameters with the least error, while the less predictable parameters were TG and LDL levels. By conducting the present study using the ChatGPT Code Interpreter, we show that elaborate analysis methods are at hand and easy to apply by researchers with limited computational resources. The insight that can be gained from such an approach, such as what we obtained on HDL level predictors in diabetes, could be relevant for deriving novel management strategies and therapeutic approaches.
Selective-correlation velocity analysis

Increased resolution in computed velocity spectra aids in distinguishing between neighboring primary events from reflectors with conflicting dip and in identifying primaries in the presence of multiples. The transformation from the offset and reflection-time domain to the stacking-velocity and zero-offset-time domain can be achieved using any of several coherence measures based on crosscorrelations among traces in a common-midpoint (CMP) gather or a common-image gather (CIG). Use of just selected subsets of crosscorrelations rather than all possible ones in a gather can improve both the reliability and resolution of velocity analysis. In selective-correlation velocity analysis, we include in the summation only crosscorrelations for those pairs of traces with relative differential moveout of reflections exceeding a chosen threshold value. Comparisons of performance on CMP gathers, both synthetic and field-data, show that selective-correlation velocity analysis considerably enhances the resolving power of v.
Long term dynamics of the vegetation at the subalpine-alpine ecocline during the Holocene : comparative study in the Aletsch region, Val d'Arpette and Furka Pass (Valais, Switzerland)

Le present travail a comme objectif l'etude de la dynamique de la vegetation subalpine-alpine durant l'Holocene dans les Alpes. Une approche multidisciplinaire a ete utilisee (pedoanthracologie, analyse des phytolites, etudes des sols, palynologique, des macrorestes vegetaux, de la vegetation et dendrocronologique). La zone d'etude est situee dans le canton du Valais (47°N, Suisse). Les investigations paleobotaniques entreprises ont mis en evidence que dans les sites etudies, la limite maximale atteinte par les arbres (> 2 m) durant l'Holocene etait situee autour de 2500-2550 m. En accord avec cette reconstruction, la limite superieure de l'arbre etait situee 250-300 m au-dessus de sa limite potentielle actuelle (2250-2300 m). En outre, cette etude a permis de comparer les resultats provenant de diverses methodes paleoecologiques. Parmi celles-ci, l'etude de la silice biogenique dans les sols a ete utilisee pour la premiere fois dans les Alpes.
The Late Albian to Early Cenomanian succession at Mont Risou near Rosans (Drôme, SE France): an integrated study (ammonites, inoceramids, planktonic foraminifera, nannofossils, oxygen and carbon isotopes)

Abstract The Second International Symposium on Cretaceous stage boundaries held in Brussels from September 8-14 1995 reached a preliminary agreement on the definition of the base of the Cenomanian stage as the first occurrence of the planktonic foraminiferan Rotalipora globotruncanoides Sigal, with a section at Mont Risou near Rosans, Drome, SE France as the global reference section, Sigal, with a section at Mont Risou near Rosans, Drome, SE France as the global reference section, where the first occurrence of R. globotruncanoides lies 36 m below the top of the Marnes Bleues as defined by a zero datum limestone at the base of the succeeding unit. The succession yields ammonites, inoceramid bivalves, nannofossils and planktonic foraminifera that provide a series of marker levels across the boundary, while an ornate δ 1 3 C curve provides a geochemical marker that can also be recognized in NE England and Italy. Proxies for R. globotruncanoides are: the first appearance of Mantelliceras mantelli and other ammonites of the mantelli Zone at -30 m, the first occurrence of the nannofossil Calculites anfractus , the first occurrence of the planktonic foraminiferan Rotalipora gandolfii and the last occurrence of the planktonic foraminiferan Rotalipora ticinensis at -40 m, and the last occurrence of the nannofossil Staurolithites glabra at -12 m. Ammonite, inoceramid, nannofossil and planktonic foraminiferan occurrences are documented, a systematic account of the ammonites, and full range data and nomenclature of the nannofossils provided. Previous alternative definitions of, and boundary stratotypes proposed for the base of the Cenomanian are critically reviewed and compared with the Risou section.
Fault zone regulation, seismic hazard, and social vulnerability in Los Angeles, California: Hazard or urban amenity?

Public perception and regulation of environmental hazards are important factors in the development and configuration of cities. Throughout California, probabilistic seismic hazard mapping and geologic investigations of active faults have spatially quantified earthquake hazard. In Los Angeles, these analyses have informed earthquake engineering, public awareness, the insurance industry, and the government regulation of developments near faults. Understanding the impact of natural hazards regulation on the social and built geography of cities is vital for informing future science and policy directions. We constructed a relative social vulnerability index classification for Los Angeles to examine the social condition within regions of significant seismic hazard, including areas regulated as Alquist‐Priolo (AP) Act earthquake fault zones. Despite hazard disclosures, social vulnerability is lowest within AP regulatory zones and vulnerability increases with distance from them. Because the AP Act requires building setbacks from active faults, newer developments in these zones are bisected by parks. Parcel‐level analysis demonstrates that homes adjacent to these fault zone parks are the most valuable in their neighborhoods. At a broad scale, a Landsat‐based normalized difference vegetation index shows that greenness near AP zones is greater than the rest of the metropolitan area. In the parks‐poor city of Los Angeles, fault zone regulation has contributed to the construction of park space within areas of earthquake hazard, thus transforming zones of natural hazard into amenities, attracting populations of relatively high social status, and demonstrating that the distribution of social vulnerability is sometimes more strongly tied to amenities than hazards.
Simulation of climate response to aerosol direct and indirect effects with aerosol transport‐radiation model

[1] With a global aerosol transport-radiation model coupled to a general circulation model, changes in the meteorological parameters of clouds, precipitation, and temperature caused by the direct and indirect effects of aerosols are simulated, and its radiative forcing are calculated. A microphysical parameterization diagnosing the cloud droplet number concentration based on the Kohler theory is introduced into the model, which depends not only on the aerosol particle number concentration but also on the updraft velocity, size distributions, and chemical properties of each aerosol species and saturation condition of the water vapor. The simulated cloud droplet effective radius, cloud radiative forcing, and precipitation rate, which relate to the aerosol indirect effect, are in reasonable agreement with satellite observations. The model results indicate that a decrease in the cloud droplet effective radius by anthropogenic aerosols occurs globally, while changes in the cloud water and precipitation are strongly affected by a variation of the dynamical hydrological cycle with a temperature change by the aerosol direct and first indirect effects rather than the second indirect effect itself. However, the cloud water can increase and the precipitation can simultaneously decrease in regions where a large amount of anthropogenic aerosols and cloud water exist, which is a strong signal of the second indirect effect. The global mean radiative forcings of the direct and indirect effects at the tropopause by anthropogenic aerosols are calculated to be −0.1 and −0.9 W m−2, respectively. It is suggested that aerosol particles approximately reduce 40% of the increase in the surface air temperature by anthropogenic greenhouse gases on the global mean.
Intracranial aneurysms treatment using new generation FRED X flow diverters with antithrombotic coating and preoperative PreSize Neurovascular software simulation: literature review and own clinical observations analysis

Objective: Evaluate the possibilities of treating giant intracranial aneurysms and complex anatomy aneurysms by implanting new generation of FRED X flow diverters (MicroVention, USA) with antithrombogenic surface subject to preoperative virtual modeling and sizing with PreSize Neurovascular software (Oxford Heartbeat Ltd, Great Britain). Materials and Methods. FRED X flow diverters with antithrombogenic surface were implanted in 7 patients with giant cerebral aneurysms and complex anatomy aneurysms in the Endovascular Center at Mechnikov Dnipropetrovsk Regional Clinical Hospital, Dnipro, within two months (May 2, 2023 to June 27, 2023). Our study group consisted of 4 (57.1%) female patients and 3 (42.9%) male patients (p=1.0). The average age was 50.4±13.7. 4 patients had single intracranial aneurysms and 3 patients had multiple aneurysms. 2 patients had 2 aneurysms and 1 patient had 4 aneurysms. 3 patients had a hemorrhagic clinical course of the disease (spontaneous subarachnoid hemorrhage in the history), 3 patients had asymptomatic aneurysms, and 1 patient had a pseudotumorous aneurysm. Results. All 7 patients underwent the ICA aneurysm(s) surgery. 3 patients had a flow diverter implanted at the level of multiple aneurysms (in 2 patients, 2 aneurysms; in 1 patient, 3 aneurysms). 2 patients, in addition to flow diverter implantation, underwent coil aneurysms embolization (using jailing technique). In all patients, the flow diverter was implanted under dual (ticagrelor and acetylsalicylic acid) antiplatelet therapy. 3 patients with a history of subarachnoid aneurysmal hemorrhage received a loading dose of dual antiplatelet therapy immediately before the flow diverter implantation. In one patient with a complex closed siphon shape, balloon angioplasty was required to optimize flow diverter opening to the arterial wall. In all other 6 patients, the flow diverters were opened in a controlled manner with a Push & Pull technique variant: Load/Tension Unsheath technique. Conclusions: In the endovascular treatment of giant and complex aneurysms, the use of new generation FRED X flow diverters (MicroVention, USA) with antithrombogenic coating subject to proper diverters sizing with PreSize Neurovascular software does not cause technical difficulties and is controlled.
Comparison between a Model-free and Model-based Controller of an Automotive Semi-active Suspension System: Independent Wheel-stations ⋆

: A comparison between two control strategies of automotive semi-active suspension systems is presented by using a pick-up truck model in CarSim TM ; the controllers are based on diﬀerent frameworks. The Linear Parameter Varying ( LPV ) controller, considered as model-based controller, includes the constraints of the semi-active damper by using two scheduling parameters; while, the Frequency Estimation-Based ( FEB ) controller only requires measurements of a wheel-station for deﬁning the damping force according to the objective controls, i.e. is free of a vehicle and actuator model. Since each wheel-station has an independent controller, the global semi-active suspension control system does not include the coupling eﬀect among the four vehicle corners; however this eﬀect is embedded into the controller performance. Experimental data are used to model a MR damper, which is used in each quarter of vehicle. A bounce sine sweep test is used to compare the performance in comfort and road holding of both controllers. Simulation results in CarSim TM shows that the FEB controller has the best comfort and road holding performance; in comparison with the passive suspension system, the pitch angle is reduced 19%, the front and rear suspension deﬂection decrease 23% and 58% respectively and the tire compression is reduced 3% (front wheel) and 10% (rear wheel).
Investigation of the Initial Quality of Robotic Tile Installation Based on Coupled Eulerian-Lagrangian Approach

In this study, the initial quality of robotic tile installation under various construction parameters and material properties of adhesive were investigated based on the fluid–structure coupling construction models for the first time. First, the models of adhesive application and tile leveling were developed based on the coupled Eulerian–Lagrangian approach. Then, on the basis of these models, various patterns of adhesive application, types of tile leveling loads, numbers of adhesive strips and yield stresses of adhesive were simulated and their influence laws on the initial quality of robotic tile installation were analyzed. Finally, the influence mechanisms of these parameters on the installation quality were revealed in terms of the spacing between adhesive strips, tile rebounding, contact areas and defect distribution. Results showed that the adhesive with horizontal application possessed smaller plastic deformation, kept stable shape of strips and distributed at equal spacing, compared with the one with vertical application. In contrast to a single compression load, its couplings with vibration loads were beneficial to the reduction of tile rebounding. Among the coupling loads, the coupling of shear vibration with compression considerably increased the tile–adhesive contact area until no interfacial defect appeared. The increase of the number of adhesive strips exerts few effects on the installation quality, including slight increases of contact areas as well as diminished interfacial defects. In the case of relatively low and high yield stresses of adhesive, the shear vibration effects were respectively large and small which decrease the installation quality.
A toolkit for automatically generating and modifying VR hierarchy tile menus

Current VR/AR system development studios lack a toolkit that can automatically generate hierarchical tile menu layouts and menu prototypes for VR/AR devices without the need for user programming. This paper proposes a solution in the form of a toolkit that automatically generates a hierarchy tile menu layout using a modified circular treemap algorithm. Users can interactively arrange and resize tiles to create various layouts according to their preferences or needs, utilizing a circle packer method. The toolkit further automatically generates a VR/AR menu prototype based on the resulting layout. Notably, reprogramming is not necessary each time the hierarchy is modified or the menu layout is redesigned. The user test results demonstrate that the proposed toolkit simplifies the creation of hierarchical tile menu layouts, enhances user efficiency in the design process, and enables users to flexibly create hierarchical tile menu prototypes according to their design ideas.
An Evidence-based Practice Project: Using Cryotherapy for Headaches

This evidence-based practice project addresses the use of cryotherapy as an intervention in reducing the symptom of pain in patients with headaches. A literature review was conducted using PubMed, ProQuest Nursing and Allied Health, Cochrane Reviews, and Cumulative Index to Nursing and Allied Health Literature (CINAHL). The articles identified were evaluated to determine evidence level and quality. Seven articles were determined to be eligible to answer the following PICO question: In patients with headaches (P), how does cryotherapy (I) compare to standard care (C) with pain (O)? A total of seven articles were used in the review. Level I, II, IV, and V articles were identified ranging from high quality (A) to good quality (B). Each article focused on using cryotherapy in treating pain during headaches, either in conjunction with other analgesia or on its own. Each article identified an overall positive effect on pain. There is compelling evidence to treat a headache with cryotherapy. The recommendation includes using an ice or cool gel pack in conjunction with the standard treatment of headache to relieve headache pain.
Matching 5G Connected Vehicles to Sensed Vehicles for Safe Cooperative Autonomous Driving

5G connected autonomous vehicles (CAVs) help enhance perception of driving environment and cooperation among vehicles by sharing sensing and driving information, which is a promising technology to avoid accidents and improve road-use efficiency. A key issue for cooperation among CAVs is matching communicating vehicles to those captured in sensors such as cameras, LiDAR, etc. Incorrect vehicle matching may cause serious accidents. While centimeter level positioning is now available for autonomous vehicles, matching connected vehicles to sensed vehicles (MCSV) is still challenging and has rarely been studied. In this paper, we are motivated to investigate the MCSV problem for 5G CAVs, propose and assess solutions for the problem to bridge the research gap. We formulate the MCSV problem and propose two MCSV approaches to support cooperative driving. The first approach is based on vehicle registration number (VRN), which is unique to identify a vehicle and can be shared among CAVs for MCSV. VRN is hashed before sharing to protect privacy, and will be compared to the shared one for vehicle matching. The second MCSV approach is based on visual features of vehicle’s external views, which are shared with other CAVs and compared to those obtained from visual sensors to match the vehicles of interest. A new MCSV dataset is developed to assess the effectiveness of the proposed approaches. Experiment results show that both approaches are feasible and useful, and they achieve a very low false positive rate, which is critical for cooperative driving safety.
Interventions to Reduce AI Energy Requirements

The ever-growing computational requirements of AI and its associated development and deployment costs are a widely understood trend [1]–[3]. This increasing computational demand naturally translates into increased energy usage and, in most cases, increased carbon emissions from datacenters where these models are developed and deployed. For example, particular Natural Language Processing (NLP) models can consume as much CO2 emission as the lifetime emission of 5 cars [4]. In particular, the widespread adoption, proliferation, and development of large neural networks has made it increasingly important for AI practitioners to account for the environmental and climate impacts of AI development. Creating power and energy efficient methods to train neural networks could reduce the carbon footprint of these models and thus lessen the environmental impact of AI. While there are numerous examples of research into efficient machine learning models [5], [6], the focus of our paper is on easyto-implement interventions that can be readily applied by ML practitioners without significant modifications to their code. Further, some of these interventions seem to provide energy efficiency gains almost “for free” in that they do not affect the accuracy or precision of the trained model and may incur minimal changes in computational performance. To illustrate the potential impact of these interventions, we highlight selected results via a popular neural network architecture on a common computer vision benchmark, to quantify improvements in energy efficiency and corresponding changes to model accuracy with relatively simple, straightforward tweaks. In particular, we explore simple modification to the training algorithm, such as altering the learning rate schedule, along with simple hardware-level interventions such as capping the power draw of GPUs or reducing the level of precision in numerical representations. Our paper also describes a new effort on open-sourcing datasets that can be used by ML researchers interested in better understanding the relationship between machine learning applications, energy usage and carbon emissions. We hope
Modeling the influence of Moho topography on receiver functions: A case study from the central Hellenic subduction zone

Pseudospectral 2D modeling of wave propagation provides a fresh look at receiver function data from the Hellenic subduction zone. It is shown that distinct Moho topography, which is suggested for this complex subduction environment from various geophysical data sets, can provide a conclusive explanation for previously observed “inverted” Moho phases in the forearc as well as for a complex sequence of apparently dipping conversions in the volcanic arc. Prominent effects of strongly dipping discontinuities include the change of sign in Ps phases refracted past the vertical and multiple P reflections that cannot be separated from Ps conversions during receiver function processing. Unambiguous identification of these phenomena can be hampered by poor azimuthal coverage of the data. Still, in regions where discontinuity topography can reasonably be expected, its effects should be considered when interpreting receiver functions, as results might be spurious otherwise.
LASER INDUCED CONFORMATIONAL CHANGES OF LIPIDS WITHIN MULTILAMELLAR VESICLES

"The biomedical potential of destabilizing liposomes through photoinduction relies on the use of near-infrared light, which offers inherent therapeutic advantages. Researchers have explored the effects of infrared laser light on dipalmitoyl phosphatidylcholine (DPPC) multilamellar vesicles, specifically investigating the interaction between the laser and zwitterionic dipalmitoyl phosphatidylcholine multilamellar vesicles using Fourier transform infrared spectroscopy and differential scanning calorimetry measurements. The results revealed that laser irradiation increased the number of gauche conformers and led to conformational changes within the acyl chains of the phospholipids. The transition temperature of lyophilized vesicles was also shifted to a lower temperature after laser irradiation, indicating that the laser had a dipalmitoyl phosphatidylcholine multilamellar significant effect on the acyl chains in the dipalmitoyl phosphatidylcholine bilayers and decreased the transition cooperativity of lipid acyl chains. These findings could aid in the development of more effective liposomal drug delivery systems by enhancing our understanding of the interaction between laser and lipid bilayers. "