Miracle-dz/UniFAR-FTUs huggingface dataset:
Sagliker Syndrome – A Case Report Saglikerov sindrom – prikaz slučaja

Aim: To present a case of Sagliker syndrome (SS), a rare syndrome caused by long-term heavy tertiary hyperparathyroidism (HPT) in end-stage renal disease (ESRD). Case report: In the year 2000, the 38-year-old man was diagnosed with ESRD. He is currently of low height, paraplegic, pigeon and barrel chested, with elongated upper extremities, deformed fingers, mandibular and maxillary asymmetric deformities with teeth malformations. Due to extremely high serum parathormone (PTH), resistant to pharmacological treatment, subtotal parathyroidectomy (PTx) was performed in 2007. However, he underwent parathyroid resurgery in 2010 for persistently high PTH of more than 2500 pg/mL (upper normal limit 69). In 2012, imaging found two suspected parathyroid glands and one of them was surgically removed. Postoperatively, the expected decrease in calcium and PTH serum concentrations did not occur. Ten years after the diagnosis of ESRD, the patient began to notice more pronounced skeletal deformities (upper, lower jaw, extremities, deformities of fingers, kyphoscoliosis) along with depressive disorder. Laboratory findings still show extremely high PTH (1994 pg/mL), low calcium, 1.89 mmol/L (normal range 2.14–2.53), and high alkaline phosphatase, 837 U/L (normal range 60–120), despite continuous pharmacological treatment. Conclusion: SS was firstly recognized by Yahya Sagliker in 2004 and it has not been described in Croatia to date. Pervasiveness and knowledge of the syndrome is still poor. The most efficient way of treating/preventing SS is early total PTx in severe secondary HPT related to ESRD. However, it can only stop progress of the disease, but cannot return skeletal deformities.
Visually Guided Audio Source Separation with Meta Consistency Learning

In this paper, we tackle the problem of visually guided audio source separation in the context of both known and unknown objects (e.g., musical instruments). Recent successful end-to-end deep learning approaches adopt a single network with fixed parameters to generalize across unseen test videos. However, it can be challenging to generalize in cases where the distribution shift between training and test videos is higher as they fail to utilize internal information of unknown test videos. Based on this observation, we introduce a meta-consistency driven test time adaptation scheme that enables the pretrained model to quickly adapt to known and unknown test music videos in order to bring substantial improvements. In particular, we design a self-supervised audio-visual consistency objective as an auxiliary task that learns the synchronization between audio and its corresponding visual embedding. Concretely, we apply a meta-consistency training scheme to further optimize the pretrained model for effective and faster test time adaptation. We obtain substantial performance gains with only a smaller number of gradient updates and without any additional parameters for the task of audio source separation. Extensive experimental results across datasets demonstrate the effectiveness of our proposed method.
Evaluation of Low Earth Orbit Post-Mission Disposal Measures

The substantial benefits arising from the widespread adoption of post-mission disposal in low Earth orbit (LEO) are reflected in a reduced orbital debris population and a reduced frequency of collisions. The benefits are generally seen at higher altitudes whereas some drawbacks in the form of enhanced collision risks have been predicted for lower altitudes. These drawbacks are generally expected to reduce as the post-mission disposal lifetime decreases, as less time at lower altitudes reduces collision probability. This is the rationale used by the Federal Communications Commission (FCC) for its new 5-year rule. To investigate the potential benefits and drawbacks, the DAMAGE computational model was used to investigate the effects of a variety of LEO post-mission disposal rules, including the new 5-year rule, within scenarios involving the deployment of large constellations of satellites. The results suggest substantial reductions in conjunction rates overall, as the post-mission residual orbital lifetime decreases, but indicate an increasing frequency of conjunctions and a corresponding need for risk mitigation maneuvers at low altitudes. The results reinforce the recommendation that disposal must be completed as soon as practicable following end of mission. Additionally, the results highlight the need for careful consideration and further research into post-mission disposal where a residual orbital lifetime is permitted.
GiantSan: Efficient Memory Sanitization with Segment Folding

Memory safety sanitizers, the sharp weapon for detecting invalid memory operations during execution, employ run-time metadata to model the memory and help find memory errors hidden in the programs. However, location-based methods, the most widely deployed memory sanitization methods thanks to their high compatibility, face the low protection density issue: the number of bytes safeguarded by one metadata is limited. As a result, numerous memory accesses require loading excessive metadata, leading to a high runtime overhead. To address this issue, we propose a new shadow encoding with segment folding to increase the protection density. Specifically, we characterize neighboring bytes with identical metadata by building novel summaries, called folded segments , on those bytes to reduce unnecessary metadata loadings. The new encoding uses less metadata to safeguard large memory regions, speeding up memory sanitization. We implement our designed technique as GiantSan. Our evaluation using the SPEC CPU 2017 benchmark shows that GiantSan outperforms the state-of-the-art methods with 59.10% and 38.52% less runtime overhead than ASan and ASan--, respectively. Moreover, under the same redzone setting, GiantSan detects 463 fewer false negative cases than ASan and ASan--in testing the real-world project PHP.
Journal of Atmospheric and Solar–Terrestrial Physics

Two recent papers by Troshichev et al. (2023) and by Lockwood (2023) have presented different physical mechanisms that cause simultaneous polar cap indices, measured close to the geomagnetic poles in the north and south hemispheres, to differ even though their overall behaviour is very similar. Several effects are described but the two main mechanisms discussed are the effect of the dawn–dusk (Y) component of the Interplanetary Magnetic Field (IMF) and inductive decoupling of electric fields caused by changes in the magnetic fields in the magnetosheath and magnetospheric lobes. This paper shows that both papers are correct and that both of the two major mechanisms are active and cause differences between the northern and southern indices. The variations in the differences with fraction of the calendar year and Universal Time are described and explained.
Investigation of Nighttime MSTIDS Observed by Optical Thermosphere Imagers at Low Latitudes: Morphology, Propagation Direction, and Wind Filtering

Different types of medium‐scale traveling ionospheric disturbances (MSTIDs) have been observed at Cachoeira Paulista (22.4°S; 45.0°W), Brazil, from June 2013 to December 2015, using airglow OI 630.0‐nm images. During the period, 58 MSTIDs were identified and classified as follows: dark band MSTIDs (around 10 events) and periodic MSTIDs (48 events). Dark band MSTIDs present phase velocity between 50 and 200 m/s and propagation direction to northwestward. On the other hand, periodic MSTIDs have phase velocity of 50 to 200 m/s, horizontal wavelengths from 80 to 160 km, periods ranging between 5 and 45 min, and propagation directions are mainly north‐northeastward. The wave parameters indicate that periodic MSTIDs have different characteristics when compared to dark band MSTIDs, suggesting that periodic MSTIDs are not generated through the well‐known Perkins and E‐F coupling instability. In addition to it, the present study indicates that the spectral characteristics found in Brazil are different from other regions such as Japan and Indonesia. Therefore, we intend to do the statistics of the wave parameters (wavelength, phase velocity, period, propagation direction, and time occurrence) and investigate the generation mechanisms of periodic MSTIDs at low to middle latitude for the first time. Furthermore, the anisotropy observed in periodic MSTID propagation direction can be explained by different mechanisms.
Elevating low-effort engagement to cultivate stronger community commitment: A study of social capital within Instagram's brand community

Purpose: This study aimed to analyze the role of social capital in enhancing the engagement of community members, specifically transitioning them from low-effort participation to higher levels of commitment toward the community.Design/methodology: This study presents the results derived from a quantitative analysis of 483 participants across diverse automotive brand communities found on Instagram.Findings: Based on the foundation of social capital theory, this research enquires into the effects of shared relational elements of social capital on the commitment of members to communities. The results indicate that when members perceive an adequate degree of social trust and adhere to a recognized norm of reciprocity, there is a notable influence on the potential for heightened commitment to the community.Research limitations/implications: This study solely focused on a specific type of social media, underscoring the prominent role of visual presentation style as the primary approach in content creation. As a result, this has a notable impact on the mechanism of social interaction among users.Originality/value: In visually oriented settings such as Instagram, the barriers to participating in social interactions are noticeably reduced. Consequently, activities that require only minimal engagement effort have a higher probability of evolving into more profound and intensified forms of social exchange among community members. This, in turn, greatly facilitates the cultivation of social trust and the establishment of a norm of reciprocity.
ANNALES DE L’INSTITUT FOURIER

— We compute the second (and the first) cohomology groups of ∗ - algebras associated with the universal quantum unitary groups of not necessarily Kac type, extending our earlier results for the free unitary group U + d . The extended setup forces us to use infinite-dimensional representations to construct the cocycles. Résumé. — Nous calculons les deuxièmes (et premiers) groupes de cohomologi des algèbres involutives associées aux groupes quantiques unitaires universels pas nécessairement du type Kac, étendant ainsi nos résultats précédents pour le groupe unitaire libre U + d . Dans ce cadre nous sommes obligés d’utiliser des représentations de dimension infinie pour la construction des cocycles.
Heterosis, combining ability and gene action for seed cotton yield and its contributing characters in cotton ( Gossypium hirsutum L.)

This study was conducted to estimate heterosis, combining ability and gene action for seed cotton yield and its contributing characters by using line × tester mating design. Total 45 crosses were produced and tested along with one standard check at Cotton Research Station, JAU, Junagadh. The highest and positive standard heterosis for seed cotton yield per plant was recorded in the cross GTHV-15/220 × G.Cot-20 (73.92%) followed by GSHV-172 × G.Cot-38 (22.09%) and GTHV-15/220 × GJ.Cot-101 (20.21%). These crosses also recorded significant standard heterosis for the other four characters also. The results thus, showed that the heterosis for seed cotton yield per plant was associated with heterosis for its component characters. Good heterotic responses were accompanied by desirable and significant sca effects for different component characters. The highest yielding hybrid GTHV-15/220 × G.Cot-20 had also registered the highest positive sca effect for seed cotton yield per plant involved good x good general combiners for seed cotton yield per plant. The cross GSHV-172 × G.Cot-38 depicted a significantly desirable sca effect for the number of bolls per plant. Similarly, another best performing cross is GTHV-15/220 × GJ.Cot-101 exhibited a desirable and significant sca effect for the three characters. The result of combining ability revealed that days to flowering character followed additive gene action and remaining characters depicted non-additive gene action.
EDA-graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection

The continuous detection of emotional states has many applications in mental health, marketing, human-computer interaction, and assistive robotics. Electrodermal activity (EDA), a signal modulated by sympathetic nervous system activity, provides continuous insight into emotional states. However, EDA possesses intricate nonstationary and nonlinear characteristics, making the extraction of emotion-relevant information challenging. We propose a novel graph signal processing (GSP) approach to model EDA signals as graphical networks, termed EDA-graph. The GSP leverages graph theory concepts to capture complex relationships in time-series data. To test the usefulness of EDA-graphs to detect emotions, we processed EDA recordings from the CASE emotion dataset using GSP by quantizing and linking values based on the Euclidean distance between the nearest neighbors. From these EDA-graphs, we computed the features of graph analysis, including total load centrality (TLC), total harmonic centrality (THC), number of cliques (NoC), diameter, and graph radius, and compared those features with features obtained using traditional EDA processing techniques. EDA-graph features encompassing TLC, THC, NoC, diameter, and radius demonstrated signiﬁcant
Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model

In recent years, neural network-driven image compression (NIC) has gained significant attention. Some works adopt deep generative models such as GANs and diffusion models to enhance perceptual quality (realism). A critical obstacle of these generative NIC methods is that each model is optimized for a single bit rate. Consequently, multiple models are required to compress images to different bit rates, which is impractical for real-world applications. To tackle this issue, we propose a variable-rate generative NIC model. Specifically, we explore several discriminator designs tailored for the variable-rate approach and introduce a novel adversarial loss. Moreover, by incorporating the newly proposed multi-realism technique, our method allows the users to adjust the bit rate, distortion, and realism with a single model, achieving ultra-controllability. Unlike existing variable-rate generative NIC models, our method matches or surpasses the performance of state-of-the-art single-rate generative NIC models while covering a wide range of bit rates using just one model.
: Can a nature documentary help to increase tolerance towards elephants?

1. Conflict between humans and elephants is one of the more complex examples of human-wildlife conflict, a key challenge for wildlife conservation. While interventions exist to separate humans from elephants, few exist aimed at bringing the two species closer together. 2. This study assesses if a natural history film, The Elephant Queen (TEQ), makes communities living around elephants more tolerant of conflict with elephants. Questionnaires and interviews were conducted before and after seeing the film screened on a mobile cinema in Southern Kenya. A double robust ordinal regression analysis using 357 matching specifications to measure the effect size of viewing TEQ on the six criteria identified as being drivers of tolerance of a wild animal by the Hazard Acceptance
Validation of predicted vibratory loads of a coaxial rotor at high advance ratios with wind tunnel test data

The predictions of a comprehensive analysis based on UMARC are compared to experimental coaxial rotor results. The experiments cover a range of collective pitch angles („ ) from 2 to 10 , advance ratios (—) from 0:2 to 0:5, and lift offset from 0% to 20%. The experimental model rotor system is a pair of hingeless coaxial rotors, with two blades each, and a first flap frequency of approximately 1:6/rev. It was tested in the Glenn L. Martin Wind Tunnel at the University of Maryland as isolated rotors and as a counter-rotating coaxial rotor system The simulation is validated against coaxial performance and vibratory loads. The simulation captures increasing rotor efficiency with lift offset and advance ratio and also properly models 2/rev vibratory loads with advance ratio, lift offset, and rotor-to-rotor phase. The inversion of thrust between upper and lower rotor with advance ratio is identified.
Psychosocial Intervention

Asingularparent-supportprogramislimitedinitsabilitytoaddressmultiplechildandfamilyneeds.One innovativesolutionisbraiding,aprocessinwhichtwoevidence-basedprogramsaresystematicallycom-bined as a newly tailored, cohesive curriculum. In this paper we describe the systematic braiding of two parent-support curricula, Parents as Teachers ® and SafeCare ® . We highlight implementation challenges to inform future planning and braiding efforts. Based on qualitative data ( n =13), we discuss ﬁve lessons learned, including identifying a pedagogical approach and sustainability at the model-and site-level. Implications and future directions for braiding and implementation are also discussed. © 2017 Colegio Oﬁcial de Psic´ologos de Madrid. Published by Elsevier Espa˜na, S.L. U. This is an open access article under the CC BY-NC-ND license (http://creativecommons
AUTOMATED FIBER PLACEMENT BASED MANUFACTURING OF CARBON FIBER REINFORCED SANDWICH HELICOPTER SIDESHELLS

Robot based Automated Fiber Placement is one of the most promising manufacturing technologies for the highly automated production of complex parts that involve carbon fiber reinforced plastics. A possible new application in the aerospace field are shell parts that contain sandwich areas. Their complex geometry poses specific challenges. Different approaches for path planning were evaluated based on criteria such as angular deviation, fiber steering and surface cover ratio. We developed a trajectory generation method, which allows flexible, local adjustments. Machine parameters were optimized experimentally in order to minimize characteristic layup imperfections on ramps. The derived machine configuration was used for the manufacturing of one feasibility part, alongside the developed process chain was validated. The results provide the manufacturing engineering solution and the experimental proof of concept for AFP-based production of sideshells for the RACER highspeed helicopter demonstrator. The proposed reference curve generation methodology might also be beneficial for other complex part geometries.
Assessment of soil erosion in the Beas Valley, Kullu, Himachal Pradesh: A study of Western Himalayan landscape, Northern India

Soil erosion is a formidable global challenge with far-reaching consequences. It results in the depletion of soil nutrients, land degradation, decreased agricultural output, heightened runoff, and the exacerbation of geological hazards such as landslides and debris ﬂ ows. This study focuses on the assessment of soil erosion in the Beas Valley region of Kullu, Himachal Pradesh, situated in the Western Himalaya landscape of Northern India. The research employs various datasets and a well-de ﬁ ned methodology to analyze the complex interactions between climate, soil, topography, and land use in order to understand and mitigate soil erosion risks. The primary data sources utilized in this study include rainfall data from the Climate Research Unit at the University of East Anglia, soil data from the Food and Agriculture Organization, Digital Elevation Model (DEM) data from the Shuttle Radar Topography Mission, and satellite imagery from Landsat. The research methodology is based on the Revised Universal Soil Loss Equation (RUSLE), a widely accepted model for assessing soil erosion. The RUSLE equation (A= R·K·LS·C·P) incorporates several factors to quantify soil erosion rates. The R-factor, derived from monthly and annual rainfall data, is used to estimate erosivity. The K-factor, determined using soil type and composition, characterizes soil erodibility. The LS-factor considers slope and ﬂ ow accumulation, while the C-factor is calculated based on the Normalized Difference Vegetation Index (NDVI) from satellite imagery. Lastly, the P-factor accounts for the effectiveness of conservation practices. This interdisciplinary approach provides valuable insights into the dynamics of soil erosion in the Beas Valley region. By leveraging cutting-edge data sources, ﬁ led visit and a robust methodology, this study contributes to a better understanding of soil erosion processes in a fragile Himalaya ecosystem, facilitating informed land management decisions and environmental conservation efforts.
Water quality evaluation through limnologic survey in a fish culture system in the Paranaíta region

: Water quality evaluation through limnologic survey fish culture system in the Paranaíta region (Mato Grosso, Brazil). Current study evaluates water quality of a fish farm, compares reservoirs with and without water flow and estimates the consequences of discharging into the receiving water body. In general, limnological variables were higher in the reservoir without water flow and presented high concentrations of nutrients during the experimental period. In the reservoir with continuous water flow the variables were not significantly different (p>0.05). Significant alterations were observed (p<0.05) during the dry period for ammonia concentrations at the fish farm outlet, preceding its discharge in the river; nevertheless, no influence on the river water quality has been reported. This is probably due to the amount of aquatic plants in the channel which discharges into the river Porto de Areia, transformed into a wetland. Greatest changes in variables have been reported during the dry season. Fish farm management has contributed towards a rise in environmental variables, with modifications in the quality of the effluent.