Miracle-dz/UniFAR-FTUs huggingface dataset:
Australia's Unprecedented Future Temperature Extremes Under Paris Limits to Warming

Record‐breaking temperatures can detrimentally impact ecosystems, infrastructure, and human health. Previous studies show that climate change has influenced some observed extremes, which are expected to become more frequent under enhanced future warming. Understanding the magnitude, as a well as frequency, of such future extremes is critical for limiting detrimental impacts. We focus on temperature changes in Australian regions, including over a major coral reef‐building area, and assess the potential magnitude of future extreme temperatures under Paris Agreement global warming targets (1.5°C and 2°C). Under these limits to global mean warming, we determine a set of projected high‐magnitude unprecedented Australian temperature extremes. These include extremes unexpected based on observational temperatures, including current record‐breaking events. For example, while the difference in global‐average warming during the hottest Australian summer and the 2°C Paris target is 1.1°C, extremes of 2.4°C above the observed summer record are simulated. This example represents a more than doubling of the magnitude of extremes, compared with global mean change, and such temperatures are unexpected based on the observed record alone. Projected extremes do not necessarily scale linearly with mean global warming, and this effect demonstrates the significant potential benefits of limiting warming to 1.5°C, compared to 2°C or warmer.
Cretaceous Exhumation of Proterozoic Carbonatite on the Northern Margin of the North China Craton Constrained by Apatite Fission-Track and (U-Th)/He Geochronology

Some carbonatites related to Proterozoic rift activities developed on the northern margin of the North China Craton and have a close genetic relationship with certain types of mineralization. We obtained new fission-track and (U-Th)/He geochronological data from fragments of pegmatitic apatite that coexists with Proterozoic igneous carbonatite along the border of three provinces (Hebei, Shanxi, and Inner Mongolia). Twenty fragments yielded a fission-track central age of 124.1 ± 6.5 Ma (1σ). Thermal-history inversion and track-length distribution suggest rapid Early Cretaceous cooling through the apatite partial-annealing zone. Sixteen single-fragment apatite (U-Th)/He ages range between 82.2 ± 1.8 and 109.6 ± 2.3 Ma, with the age variation much larger than the analytical uncertainty. Several reasons could account for this dispersion. While alpha-particle redistribution resulted from U and Th inhomogeneties, chemical variations and radiation damage are the most probable causes. We calculated the mean age, central age, and isochron age of all the analyzed fragments and got a consistent statistical age of ∼100 Ma, which can be used as the best estimation of the cooling age for the pegmatitic apatite. This result also suggests that the Proterozoic carbonatite was exhumed to a subsurface level during the late Early Cretaceous and was not buried deeper than 2–3 km since then, a situation that provided favorable conditions for the preservation of some ore deposits. The denudation of the Proterozoic rocks was consistent with widespread crustal extension, represented by formation of metamorphic core complexes and rift basins, reactivation of normal faults, and rapid exhumation of granites on the eastern Asian continent. These new low-temperature geological data shed some light on the denudation and preservation of related mineral deposits.
Effects of fiber source on apparent digestibility and ruminal fermentation parameters in sheep fed high-concentrate diets

Sixteen rams (mean age: 13 mo; mean live weight: 40.0 ± 2.4 kg) were randomly allotted to four dietary treatments in a completely randomized design (4 rams per treatment). Diets (dry matter basis) contained 65% concentrate and 35% alfalfa hay (control diet, T1), 35% wheat straw (T2), 35% barley straw (T3) or 35% maize straw (T4). Total-tract apparent digestibility for dry matter, organic matter, neutral detergent fiber (ADF), acid detergent fiber (ADF), and crude fat was not affected by the diet (P > 0.05). Among straws, maize straw had the highest crude protein digestibility of 63%, compared with wheat straw (48%) and barley straw (54%). Greater nitrogen balance was recorded for diets containing alfalfa hay and maize straw. Gas production volume after 72 h incubation, was higher in the diet containing alfalfa hay or maize straw compared to that containing barley or wheat straw. Ruminal fluid pH and NH3-N were not affected by straw type. In conclusion, the diet containing maize straw was superior to diets containing either wheat or barley straw in terms of crude protein digestibility, nitrogen balance, and in vitro ruminal fermentation parameters. This associative effect of fiber type in high-concentrate diets could be important in practical sheep feeding, as it may affect the animal performance.
Collective intelligence in Massive Online Dialogues

The emergence and ongoing development of Web 2.0 technologies have enabled new and advanced forms of collective intelligence at unprecedented scales, allowing large numbers of individuals to act collectively and create high quality intellectual artifacts. However, little is known about how and when they indeed promote collective intelligence. In this manuscript, we provide a survey of the automated tools developed to analyze discourse-centric collective intelligence. By conducting a thematic analysis of the current research direction, a set of gaps and limitations are identified.
Estimating ear canal geometry and eardrum reflection coefficient from ear canal input impedance

Based on the signal model of ear canals, a novel method for solving the inverse problem of estimating the unique solution of the ear canal area function and the eardrum reflection coefficient given the acoustic input impedance at the entrance of an ear canal is presented. Up-sampling techniques to improve the accuracy of the estimates are also presented. The performance of this method and factors affecting the accuracy of the estimates are investigated via simulations. It is found that the accuracy of the estimates is limited by the measurement bandwidth of the given ear canal input impedance. In the audio frequency range, the estimates obtained approximate well to the true ones. To obtain more accurate estimates, a wider measurement bandwidth of the ear canal input impedance is required.
Decentralized face recognition scheme for distributed video surveillance in IoT-cloud infrastructure

People monitoring and tracking activities in surveillance system usually generate massive amount of data from Internet-of-Things (IoT) devices such as cameras. Several issues need to be addressed, including data migration over limited bandwidth and high latency in communication networks. This paper presents an initiative to develop a decentralized face recognition scheme for distributed surveillance system that make use of an integrated framework of Internet-of-Things (IoT) and cloud computing. The decentralized face recognition approach implements a two-stage procedure, including face detection and extraction and face matching. Face detection and extraction are performed on a cloudlet that is located close to the surveillance cameras, hence minimizing the need for massive data transfer to the remote processing center. On the other hand, face matching process is carried out on the face feature vector within a private cloud environment. A case study conducted on the effectiveness of the proposed scheme in detecting “missing” person indicates that the procedure works effectively in the IoT-Cloud infrastructure.
Discovering spatio-temporal causal interactions in traffic data streams

The detection of outliers in spatio-temporal traffic data is an important research problem in the data mining and knowledge discovery community. However to the best of our knowledge, the discovery of relationships, especially causal interactions, among detected traffic outliers has not been investigated before. In this paper we propose algorithms which construct outlier causality trees based on temporal and spatial properties of detected outliers. Frequent substructures of these causality trees reveal not only recurring interactions among spatio-temporal outliers, but potential flaws in the design of existing traffic networks. The effectiveness and strength of our algorithms are validated by experiments on a very large volume of real taxi trajectories in an urban road network.
Adaptive style and symptoms of posttraumatic stress in children with cancer and their parents.

OBJECTIVE To examine symptom levels of posttraumatic stress (PTS) in children with cancer and their parents as a function of patient and parent adaptive style. METHOD Participants included 162 pediatric cancer patients and their parents. Patients completed self-report measures of PTS and adaptive style. Parents reported on their own adaptive style and PTS, as well as levels of PTS in their child. RESULTS Adaptive style was a significant correlate of PTS. Children identified as low anxious (LA) or repressors (REP) obtained lower levels of PTS than did high anxious (HA) children, both by self-report and parent report. Parents identified as LA or REP self-reported lower levels of PTS than HA and also reported lower levels of PTS in their children. CONCLUSIONS Patient and parent adaptive style are significant determinants of PTS in the pediatric oncology setting. These findings, in combination with the generally low levels of PTS in the pediatric oncology population, raise questions about the utility of the posttraumatic stress model for understanding the experiences of children with cancer, although such a model may be more applicable to parental response.
Resultswith Routine LaboratoryTestingfor ImmunoglobulinsDue to Interference from CirculatingImmune Complexes in a Case of HyperviscositySyndromeAssociatedwith AutoimmuneDisease

A patient with the hyperviscosity syndrome exhibited very high concentrations of intermediate to small circulating immune complexes (dC), involving 40-50% of the IgG present, with IgG rheumatoid factor activity. We demonstrate that precipitation of CIC by polyethylene glycol in the reaction mixture caused interference with nephelometric methods for measuring 1gM and IgA, and that failure of immuglobulins to migrate, owing to molecular interactions, caused interference with radial immunodiffusion methods. Semiquantitative values for immunoglobulins were difficult to interpret on immunoelectrophoresis. As a result, 1gM and IgA could only be quantitatively estimated by an end-point nephelometnc approach that included a serum blank. Immunoelectrophoresis indicated that a large proportion of the immunoglobulins behaved as aggregates. Immunofixation electrophoresis did not revea! the presence of aggregates. The polyethylene glycol-lgG test provided an accurate assessment of the CIC concentration; the Rap cell and Clq-binding assays did not. Evidently, special techniques may be necessary for accurate determination of immunoglobulin concentrations when CIC concentrations are very high.
Daily Rhythms of the Expression of Key Genes Involved in Steroidogenesis and Gonadal Function in Zebrafish

Fish present daily and seasonal rhythms in spawning and plasmatic levels of steroids that control reproduction. However, the existence of the rhythms of expression of the genes that underlie the endocrine mechanisms responsible for processes such as steroidogenesis and reproduction in fish have still been poorly explored to date. Here we investigated the daily pattern of the expression of key genes involved in sex steroid production that ultimately set the sex ratio in fish. Adult zebrafish were maintained under a 12:12 h light-dark cycle at a constant temperature of 27°C and were sampled every 4 h during a 24-hour cycle. The expression of key genes in the gonads and brains of female and male individuals were analyzed. In gonads, the expression of aromatase (cyp19a1a, ovarian aromatase) and the antimüllerian hormone (amh, testis) was rhythmic, with almost opposite acrophases: ZT 5:13 h (in the light phase) and ZT 15:39 h (at night), respectively. The expression of foxl2 (forkhead box L2) was also rhythmic in the ovary (acrophase located at ZT 5:02 h) and the expression of dmrt1 (doublesex and mab-3-related transcription factor 1) was rhythmic in testes (acrophase at ZT 18:36 h). In the brain, cyp19a1b (brain aromatase) and cyp11b (11beta-hydroxylase) presented daily differences, especially in males, where the expression peaked at night. These results provide the first evidence for marked time-of-the-day-dependent differences in the expression of the genes involved in sex ratio control, which should be considered when investigating processes such as reproduction, sex differentiation and steroidogenesis in fish.
Molecular Imaging for Lung Cancer: Exploring Small Molecules, Peptides, and Beyond in Radiolabeled Diagnostics

It is evident that radiolabeled drug delivery systems hold great promise in the field of lung cancer management. The combination of therapeutic agents with radiotracers not only allows for precise localization within lung tumors but also enables real-time monitoring of drug distribution. This approach has the potential to enhance targeted therapy and improve patient outcomes. The integration of advanced imaging modalities, such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT), has played a crucial role in the non-invasive tracking of radiolabeled drugs. These techniques provide valuable insights into drug pharmacokinetics, biodistribution, and tumor-targeting efficiency, offering clinicians the ability to personalize treatment regimens. The comprehensive analysis of preclinical and clinical studies presented in this review underscores the progress made in the field. The evidence suggests that radiolabeled drug delivery systems have the potential to revolutionize oncology by offering precise, targeted, and image-guided therapeutic interventions for lung cancer. This innovative approach not only enhances the effectiveness of treatment but also contributes to the development of personalized medicine strategies, tailoring interventions to the specific characteristics of each patient’s cancer. The ongoing research in this area holds promise for further advancements in lung cancer management, potentially leading to improved outcomes and quality of life for patients.
The spindle assembly checkpoint is not essential for CSF arrest of mouse oocytes

In Xenopus oocytes, the spindle assembly checkpoint (SAC) kinase Bub1 is required for cytostatic factor (CSF)-induced metaphase arrest in meiosis II. To investigate whether matured mouse oocytes are kept in metaphase by a SAC-mediated inhibition of the anaphase-promoting complex/cyclosome (APC/C) complex, we injected a dominant-negative Bub1 mutant (Bub1dn) into mouse oocytes undergoing meiosis in vitro. Passage through meiosis I was accelerated, but even though the SAC was disrupted, injected oocytes still arrested at metaphase II. Bub1dn-injected oocytes released from CSF and treated with nocodazole to disrupt the second meiotic spindle proceeded into interphase, whereas noninjected control oocytes remained arrested at metaphase. Similar results were obtained using dominant-negative forms of Mad2 and BubR1, as well as checkpoint resistant dominant APC/C activating forms of Cdc20. Thus, SAC proteins are required for checkpoint functions in meiosis I and II, but, in contrast to frog eggs, the SAC is not required for establishing or maintaining the CSF arrest in mouse oocytes.
A channel estimation method for MIMO-OFDM Mobile WiMax systems

In this paper, channel estimation for Space-Time Block Code (STBC) — Orthogonal Frequency Division Multiplexing (OFDM) is investigated for Mobile WiMax systems. A new channel estimation approach is proposed using the dedicated pilot subcarriers defined at constant intervals by the WiMax standard. The estimation method has low computation as only linear operations are needed due to orthogonal pilot coding. The performances of the proposed method have been demonstrated by extensive computer simulations. For the OFDM system with two transmit antennas and one to four receive antennas and using QPSK modulation, the simulated results under different Stanford University Interim (SUI) channels show that the proposed method has only a 4dB loss compared to the ideal case where the channel is known at the receiver.
Virtualizing national broadband access infrastructure

Governments world-wide are recognizing the importance of residential broadband in fueling economic and social growth of the nation. Unlike privately owned networks, such public networks will provide a wholesale platform on which retail service providers (RSPs) can compete to offer their services to consumers. This creates a unique opportunity to “virtualize” the wholesale access infrastructure (i.e. the fiber network) in a dynamic and agile way, allowing multiple retail service providers to share the infrastructure more efficiently, while giving users more freedom and choice in selecting their service mix. This poster presents our vision of how each party (user, wholesale infrastructure operator, and retail service provider) can benefit from this virtualization, how this virtualization can be achieved using software defined networking (SDN) techniques, and what some of the challenges in achieving this are.
Modeling for Synthesis with System#

While Electronic Design Automation made the shift towards system design and high-level design methods keep on emerging, there is hardly any open framework which allows researchers to quickly prototype novel synthesis algorithms. We present System#, an open source system level design framework based on C#. System# tries to bridge the productivity gap by covering modeling, simulation, code transformations and VHDL code generation in a single extensible platform. We explain how common modeling principles, such as component-based design, the separation of communication and computation, concurrent behavior and time are realized in System#. The implementation of an appropriate simulator kernel is discussed. We demonstrate the potential of code transformations by giving application examples: converting a cycle-accurate sequential specification to an explicit synthesizable finite state machine representation and IP-based design. We conclude that System# is an appropriate research and integration platform which has the potential to add value to the research community.
Privacy Protection for Social Networking APIs

Social networking APIs integrate third-party content into the site and give third-party developers access to user data. These open interfaces enable popular site enhancements but pose serious privacy risks by exposing user data to third-party developers. We address the privacy risks associated with social networking APIs by presenting a privacy-by-proxy design for a privacypreserving API that is motivated by an analysis of the data needs and uses of Facebook applications. Our study of 150 popular Facebook applications reveals that nearly all applications could maintain their functionality using a limited interface that only provides access to an anonymized social graph and placeholders for user data. Since the platform host can control the third party applications’ output, privacy-by-proxy can be accomplished without major changes to the platform architecture or applications by using new tags and data transformations.
Potensi QRIS M-banking Bank Syariah sebagai Teknologi Pembayaran untuk Mendukung Inklusi Keuangan Syariah di Indonesia

Penelitian ini bertujuan untuk menganalisis penerimaan aplikasi QRIS M-banking bank syariah sebagai teknologi pembayaran non-tunai dan faktor-faktor yang memengaruhi adopsi pengguna. Penelitian menggunakan pendekatan multimethod dan purposive sampling. Penelitian ini melibatkan 134 responden pada tahap pertama dan 249 responden pada tahap kedua dari berbagai kota di Indonesia. Analisis data dilakukan dengan menggunakan SEM-PLS. Hasil penelitian menunjukkan bahwa 6 dari 10 hipotesis yang diajukan didukung dan terdapat 14 faktor utama yang mendorong nasabah menggunakan layanan QRIS M-banking bank syariah. Hasil dari penelitian ini dapat digunakan oleh industri QRIS M-banking bank syariah untuk meningkatkan kualitas layanannya dan memenuhi kebutuhan nasabah dalam ranah financial technology yang sesuai syariah.
A Simplified Particle Swarm Optimization for Job Scheduling in Cloud Computing

Recent advances in various areas such as networking, information and communication technologies have greatly boosted the potential capabilities of cloud computing and made it become more prevalent in recent years. Cloud computing is a promising computing paradigm that facilitates the delivery of IT infrastructure, platforms, and applications of any kind to consumers as services over the internet. Although cloud computing systems nowadays provide better ways to accomplish the job requests in terms of responsiveness and scalability under various workloads, scheduling of jobs or tasks in cloud environment is still NP-complete and complex in nature due to the dynamicity of resources and on-demand user application requirements. In this paper, a simplified version of particle swarm optimization (PSO) algorithm is proposed to solve the job scheduling problem in cloud computing environment. To evaluate the performance of the proposed approach, this study compares the proposed PSO strategy with genetic algorithm (GA), by having both of them implemented on CloudSim toolkit. The results obtained demonstrate that the presented PSO algorithm can significantly reduce the makespan of job scheduling problem compared with the other metaheuristic algorithm
Gabor frames on finite non-cyclic Abelian groups

We attempt to analyze Gabor frames for L2 spaces on finite non cyclic abelian groups from their natural perspectives and establish their equivalence with Gabor frames on the isomorphic product groups of finite cyclic groups by means of unitary and non unitary invertible linear transformations. Gabor frames and their canonical dual frames on finite non cyclic groups are identified as the images of the same Gabor frame on a finite product of finite cyclic groups under invertible linear transformations.
Feature tracking for sea ice drift retrieval from SAR images

A feature tracking techniques for sea ice drift retrieval from a pair of sequential satellite synthetic aperture radar (SAR) images are discussed. The Scale Invariant Feature Transform (SIFT), its alternative called ORB and A-KAZE features are selected for the intercomparison. The experimental results obtained for dual polarized Sentinel-1 C-SAR Extended Wide Swath mode data showed high relevance of feature tracking using nonlinear scale-spaces: A-KAZE. The approach exploits the benefits of nonlinear multi-scale image representations using A-KAZE features, which is a method that detects and describes image features in an anisotropic scale space that preserves important object boundaries while adaptively removing noise and small image details. It found that feature tracking using nonlinear scale-spaces on SAR images is preferable compared to other existing feature tracking alternatives that make use of Gaussian or linear scale spaces.