Miracle-dz/UniFAR-FTUs huggingface dataset:
Inferring Social Status and Rich Club Effects in Enterprise Communication Networks

Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an enterprise. We study the intersection of social status and social networks in an enterprise. We study whether enterprise communication logs can help reveal how social interactions and individual status manifest themselves in social networks. To that end, we use two enterprise datasets with three communication channels — voice call, short message, and email — to demonstrate the social-behavioral differences among individuals with different status. We have several interesting findings and based on these findings we also develop a model to predict social status. On the individual level, high-status individuals are more likely to be spanned as structural holes by linking to people in parts of the enterprise networks that are otherwise not well connected to one another. On the community level, the principle of homophily, social balance and clique theory generally indicate a “rich club” maintained by high-status individuals, in the sense that this community is much more connected, balanced and dense. Our model can predict social status of individuals with 93% accuracy.
Rat glomerular epithelial cells produce and bear factor H on their surface that is up-regulated under complement attack.

BACKGROUND Factor H is a potent complement inhibitory molecule that is primarily produced by the liver and appears in plasma as a soluble protein. Yet there is evidence that other cells, including those in the kidney, can produce factor H, and that it can be cell-associated as well as present as a plasma protein. Here we studied factor H in rat glomerular epithelial cells (GEC). METHODS A polyclonal antibody to factor H was used to identify factor H protein. A polymerase chain reaction (PCR)-based strategy was utilized to clone the full-length cDNA of GEC factor H. The relative quantity of factor H mRNA was measured by quantitative reverse transcription (RT)-PCR in cultured GEC exposed to complement activation and in the passive Heymann nephritis (PHN) model of membranous nephropathy. RESULTS By immunofluorescence microscopy, factor H protein was present on the plasma membranes of cultured GEC. Based upon Western blot studies, this appeared to be the full-length 150 kD factor H protein. Factor H cDNA cloned from GEC was identical to the newly deposited sequence for rat liver factor H cDNA. In cultured GEC in which complement was activated, factor H mRNA increased over time. Similarly, in the PHN model in which complement was activated on GEC in vivo, factor H mRNA and protein also increased over time. CONCLUSION Cultured GEC and glomeruli express factor H mRNA and protein. As modeled both in vitro and in vivo in the rat, factor H is up-regulated in membranous nephropathy. This is likely to be a direct response of GEC to complement attack and may represent a protective response of this cell.
MAP decoding of quantized sources over soft-decision fading channels with memory

We study a joint source-channel decoding scheme that exploits the channel's statistical memory and soft-decision information in fading channels. The channel considered is a recently introduced binary input 2q-ary output channel with Markovian ergodic noise based on a finite queue (called NBNDC-QB). This model has been shown to effectively represent soft-decision demodulated correlated Rayleigh fading channels. The coding scheme consists of a scalar quantizer, a proper index assignment, and a sequence maximum a posteriori (MAP) decoder designed to harness the redundancy left in the quantizer's indices, the channel's soft-decision output, and correlation in the channel noise process. We first consider the simple case where the quantized indices form a binary symmetric Markov source and establish a necessary and sufficient condition under which the sequence MAP decoder is reduced to a simple instantaneous symbol-by-symbol decoder. We next assess the signal-to-distortion ratio (SDR) performance of our general system. Our numerical results confirm that this system can successfully take advantage of the channel memory and outperforms systems that use channel interleaving by as much as 2.6 dB in SDR. In addition, SDR gains of up to 2.8 dB are achieved using as few as 2 bits for soft-decision quantization over hard quantized output schemes. Finally, the NBNDC-QB channel model is validated in terms of SDR performance by fitting the NBNDC-QB model to a discrete correlated Rayleigh fading channel, designing a system for this matched NBNDC-QB model, and comparing this system's performance over both the NBNDC-QB and the Rayleigh fading channels.
Evaluationof the Bromcresol Purplemethodfor Albuminas Used with the Aca

Lidocaine is a frequently administered anti-arrhythmic drug, particularly useful in emergency situations because of its rapid onset of action (1). Therapeutic drug monitoring of lidocaine is recommended because of its potent central nervous system toxicity. Moreover, lidocaine has been implicated in numerous accidental and homicidal deaths (2). Thus its chemical stability in patients’ specimens and in quality-control specimens needs to be known. Two metabolites of lidocaine, monoethylglicinexylidide and glycinexylidide, are unstable in plasma and urine (3), but no work has been published on the stability of lidocaine itself. Therefore, we have assessed the stability of lidocaine in serum and blood. Sera from patients being treated with lidocaine were pooled and stored at -20 #{176}C until used. Cadaver blood containing lidocaine was also collected and pooled. After an initial quantification by gas chromatography (4), the serum and blood were each divided into two portions.One was stored at 25 #{176}C, the other at 4#{176}C. At various time intervals, aliquots of fluid stored ateach temperature were removed and re-assayed. After 70 days, at least 80% of the lidocaine was detected in serum at either temperature. Furthermore, no changes in blood lidocaine concentration were detected over a similar time period at either temperature. Any changes in lidocaine concentration were within the out-of-run CV of the method. We conclude that lidocaine is quite stable in serum and blood over a twoto three-month period.
Interplay of energy and performance for disk arrays running transaction processing workloads

The growth of business enterprises and the emergence of the Internet as a medium for data processing has led to a proliferation of applications that are server-centric. The power dissipation of such servers has a major consequence not only on the costs and environmental concerns of power generation and delivery, but also on their reliability and on the design of cooling and packaging mechanisms for these systems. This paper examines the energy and performance ramifications in the design of disk arrays which consume a major portion of the power in transaction processing environments. Using traces of TPC-C and TPC-H running on commercial servers, we conduct in-depth simulations of energy and performance behavior of disk arrays with different RAID configurations. Our results demonstrate that conventional disk power optimizations that have been previously proposed and evaluated for single disk systems' (laptops/workstations) are not very effective in server environments, even if we can design disks than have extremely fast spinup/spindown latencies and predict the idle periods accurately. On the other hand, tuning RAID parameters (RAID type, number of disks, stripe size etc.) has more impact on the power and performance behavior of these systems, sometimes having opposite effects on these two criteria.
Isolation and Diagnosis of Parasites from Different Soils in Baghdad City

A study was conducted to determine the prevalence of parasites in soil texture (loam) by using four techniques (salt floatation, zinc sulphate floatation, sedimentation and filter paper technique). During the period from December 2012 to May 2013, 70 soil samples were collected and analyzed from six various sites of Baghdad City such as (house garden, vicinity of house, vicinity of gutter, waste dumps, vegetable farm and hospital garden like Alyarmouk teaching hospital and Central teaching hospital of pediatric). The prevalence of soil parasites was as follows: Toxocara spp. eggs isolated by two floatation techniques (salt and zinc floatation techniques), but this parasite appeared significant in its floatation by salt floatation technique (p= 0.042), while protozoan cysts appeared highly significant in zinc floatation technique (p= 0.00001). In addition, larvae of Strongloides stercoralis showed highly significance in sedimentation and filter paper technique (p=0.0001 and p= 0.001) respectively. Furtherly, female of Strongloides stercoralis appeared significant in its isolation in sedimentation (p= 0.0463), Ascaris lumbricoides (ova) showed highly significant in sedimentation technique (p= 0.0043). These results concluded that the Toxocara spp. eggs more prevelant than other parasites in soil samples, and the soil may play an important role in transmission of zoonotic parasite diseases to human. In addition, the control of high population of animals such as stray dogs and cats is necessary to reduce the distribution of parasites.
Lissencephaly and Band Heterotopia: LIS1, TUBA1A, and DCX Mutations in Hungary

The spectrum of lissencephaly ranges from absent (agyria) or decreased (pachygyria) convolutions to less severe malformation known as subcortical band heterotopia. Mutations involving LIS1 and TUBA1A result in the classic form of lissencephaly, whereas mutations of the DCX gene cause lissencephaly in males and subcortical band heterotopia in females. This report describes the clinical manifestations and imaging and genetic findings in 2 boys with lissencephaly and a girl with subcortical band heterotopia. An ovel mutation (c.83_84delAT, p.Tyr28Phefs*31) was identified in LIS1 in 1 of the boys with lissencephaly and another novel mutation (c.200delG, p.Ile68Leufs*87) was found in DCX in the girl with subcortical band heterotopia. The mutations appeared in the first half of the genes and are predicted to result in truncated proteins. A mutation was found in the TUBA1A gene (c.1205G>A, p.Arg402His) in the other boy. This mutation affects the folding of tubulin heterodimers, changing the interactions with proteins that bind microtubules.
Characterization of the effect of high molecular weight hyaluronan on trans‐synovial flow in rabbit knees

1 The effect of a rooster comb hyaluronan (3.6–4.0 g l−1) of similar chain length to rabbit synovial fluid hyaluronan, on the trans‐synovial escape of fluid from the joint cavity in the steady state (Q̇s) was studied in 29 rabbit knees at controlled intra‐articular pressures (Pj). 2 Rooster hyaluronan caused the pressure‐flow relation to flatten out as pressure was raised. At 10–20 cmH2O the slope of the quasi‐plateau, 0.05 ± 0.01 μl min−1 cmH2O−1 (mean ±s.e.m.), was 1/39th that for Ringer solution (1.94 ± 0.01 μl min−1 cmH2O−1). 3 Bovine synovial fluid had a similar effect to hyaluronan in Ringer solution. 4 The quasi‐plateau was caused by increasing opposition to outflow; the pressure required to drive unit outflow increased 4.4‐fold between 5 and 20 cmH2O. The increased opposition to outflow at 20 cmH2O was equivalent to an effective osmotic pressure of 13–17 cmH2O at the interface. Since the infusate's osmotic pressure was only 0.9 cmH2O, this implied concentration polarization to 15–18 g l−1 hyaluronan at the interface. 5 Mechanical perforation of the lining, or enzymatic degradation of the interstitial matrix by chymopapain, abolished the quasi‐plateau. Hydrational expansion of the matrix by /2‐fold did not. The increased opposition to outflow was reversible by washing out the hyaluronan, or by reducing Pj. It was unaffected by interruption of tissue blood flow or synoviocyte oxidative metabolism. These properties are compatible with a concentration polarization mechanism, i.e. flow‐induced concentration of hyaluronan at the synovial interface due to molecular reflection. 6 A concentration polarization theory was developed for a partially reflected solute. Numerical solutions supported the feasibility of this osmotic explanation of the quasi‐plateau. Additional mechanisms may also be involved. 7 It is concluded that native‐size hyaluronan helps to retain synovial fluid in the joint cavity when pressure is raised and acts, at least in part, by exerting osmotic pressure at the interface between synovial matrix and a concentration polarization layer.
Narrowband frequency scanning array antenna at 5.8 GHz for short range imaging

We present a frequency scanning array antenna for radar applications. A high angular range is obtained while requiring only a small frequency band. This is achieved by using a band-pass filter feed structure that increases the frequency-dependent phase difference between the individual array elements. An angular range of ± 50 degrees is obtained while using only 150 MHz bandwidth with 5.8 GHz center frequency corresponding to the ISM Band. This antenna type can be applied for detecting covered objects or for short range imaging.
The city as a refuge for insect pollinators

Research on urban insect pollinators is changing views on the biological value and ecological importance of cities. The abundance and diversity of native bee species in urban landscapes that are absent in nearby rural lands evidence the biological value and ecological importance of cities and have implications for biodiversity conservation. Lagging behind this revised image of the city are urban conservation programs that historically have invested in education and outreach rather than programs designed to achieve high‐priority species conservation results. We synthesized research on urban bee species diversity and abundance to determine how urban conservation could be repositioned to better align with new views on the ecological importance of urban landscapes. Due to insect pollinators’ relatively small functional requirements—habitat range, life cycle, and nesting behavior—relative to larger mammals, we argue that pollinators put high‐priority and high‐impact urban conservation within reach. In a rapidly urbanizing world, transforming how environmental managers view the city can improve citizen engagement and contribute to the development of more sustainable urbanization.
Tightly coupled precise point positioning and attitude determination

A method is described for joint precise point positioning and attitude determination with tight coupling of two single-frequency low-cost global navigation satellite system receivers and an inertial sensor. The sensor fusion is performed with an extended Kalman filter. The carrier phase ambiguities are determined in a constrained tree search using soft a priori information on the antenna distance. A code multipath parameter is determined for each satellite to improve the accuracy. Ionospheric corrections are estimated also by single-frequency receivers.
A new algorithm for the alignment of inertial measurement units without external observation for land vehicle applications

Describes a real time, on-the-fly, roll and pitch alignment algorithm for inertial measurement units (IMUs) mounted on land vehicles. Unlike conventional strategies, the alignment is achieved without external observations. This is achieved by exploiting the nonholonomic constraints that govern the motion of a vehicle on a surface to obtain the roll and pitch of the IMU. The position of the vehicle along its path is still unobservable and the algorithm is effective only when there is sufficient excitation in all degrees of freedom. However, with the proposed alignment algorithm, the IMU is able to provide sufficiently accurate position information for substantially longer periods of time compared with conventional methods. Experimental results are provided along with a comparison of an IMU/GPS navigation loop showing the effectiveness of the algorithm.
ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?

As AI becomes more integral in our lives, the need for transparency and responsibility grows. While natural language explanations (NLEs) are vital for clarifying the reasoning behind AI decisions, evaluating them through human judgments is complex and resource-intensive due to subjectivity and the need for fine-grained ratings. This study explores the alignment between ChatGPT and human assessments across multiple scales (i.e., binary, ternary, and 7-Likert scale). We sample 300 data instances from three NLE datasets and collect 900 human annotations for both informativeness and clarity scores as the text quality measurement. We further conduct paired comparison experiments under different ranges of subjectivity scores, where the baseline comes from 8,346 human annotations. Our results show that ChatGPT aligns better with humans in more coarse-grained scales. Also, paired comparisons and dynamic prompting (i.e., providing semantically similar examples in the prompt) improve the alignment. This research advances our understanding of large language models' capabilities to assess the text explanation quality in different configurations for responsible AI development.
Self-calibration of a stereo vision system for automotive applications

In this paper a calibration method for on-board cameras used on the ARGO autonomous vehicle is presented. A number of markers have been placed on the vehicle's hood, which is framed by the vision system. Due to the knowledge of the markers' position it is possible to compute the camera position and orientation with respect to the vehicle. By using fast computations, this procedure, of basic importance when the camera head has pan-tilt capabilities, can be performed during autonomous driving, without slowing down normal operations.
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction

Cold-start rating prediction is a fundamental problem in recommender systems that has been extensively studied. Many methods have been proposed that exploit explicit relations among existing data, such as collaborative filtering, social recommendations and heterogeneous information network, to alleviate the data insufficiency issue for cold-start users and items. However, the explicit relations constructed based on data between different roles may be unreliable and irrelevant, which limits the performance ceiling of the specific recommendation task. Motivated by this, in this paper, we propose a flexible framework dubbed heterogeneous interaction rating network (HIRE). HIRE dose not solely rely on the pre-defined interaction pattern or the manually constructed heterogeneous information network. Instead, we devise a Heterogeneous Interaction Module (HIM) to jointly model the heterogeneous interactions and directly infer the important interactions via the observed data. In the experiments, we evaluate our model under three cold-start settings on three real-world datasets. The experimental results show that HIRE outperforms other baselines by a large margin. Furthermore, we visualize the inferred interactions of HIRE to confirm the contribution of our model.
Failures to Ignore Entirely Irrelevant Distractors

In daily life (e.g., in the work environment) people are often distracted by stimuli that are clearly irrelevant to the current task and should be ignored. In contrast, much applied distraction research has focused on task interruptions by information that requires a response and therefore cannot be ignored. Moreover, the most commonly used laboratory measures of distractibility (e.g., in the response-competition and attentional-capture paradigms), typically involve distractors that are task relevant (e.g., through response associations or location). A series of experiments assessed interference effects from stimuli that are entirely unrelated to the current task, comparing the effects of perceptual load on task-irrelevant and task-relevant (response competing) distractors. The results showed that an entirely irrelevant distractor can interfere with task performance to the same extent as a response-competing distractor and that, as with other types of distractors, the interfering effects of the irrelevant distractors can be eliminated with high perceptual load in the relevant task. These findings establish a new laboratory measure of a form of distractibility common to everyday life and highlight load as an important determinant of such distractibility.
Quantum accelerated cross regression algorithm for multiview feature extraction

Multi-view Feature Extraction (MvFE) has wide applications in machine learning, image processing and other fields. When dealing with massive high-dimensional data, the performance of classical computer faces severe challenges due to MvFE involves expensive matrix calculation. To address this challenge, a quantum-accelerated cross-regression algorithm for MvFE is proposed. The main contributions are as follows:(1) a quantum version algorithm for MvFE is proposed for the first time, filling the gap of quantum computing in the field of MvFE;(2) a quantum algorithm is designed to construct the block-encoding of the target data matrix, so that the optimal Hamiltonian simulation technology based on the block-encoding framework can be used to efficiently realize the quantum simulation of the target data matrix. This approach reduces the dependence of the algorithm's on simulation errors to enhance algorithm performance;(3) compared with the classical counterpart algorithm, the proposed quantum algorithm has a polynomial acceleration in the number of data points, the dimension of data points and the number of view data.
An AI-Native Runtime for Multi-Wearable Environments

The miniaturization of AI accelerators is paving the way for next-generation wearable applications within wearable technologies. We introduce Mojito, an AI-native runtime with advanced MLOps designed to facilitate the development and deployment of these applications on wearable devices. It emphasizes the necessity of dynamic orchestration of distributed resources equipped with ultra-low-power AI accelerators to overcome challenges associated with unpredictable runtime environments. Through its innovative approaches, Mojito demonstrates how future wearable technologies can evolve to be more autonomous.