Miracle-dz/UniFAR-FTUs huggingface dataset:
DT-GC: Adaptive Garbage Collection with Dynamic Thresholds for SSDs

Solid state drives (SSDs) are rapidly growing used in both personal computer and enterprise server area in the past several years. Compare with traditional hard disk drive, the advantages of SSDs are great performance, small size and shock resistance. However, SSDs suffer from obvious performance dropping when free physical pages become lacking, after plenty of data writing. Because time-consuming garbage collection has to be ran to gaining enough free pages. Most algorithms determine a certain threshold of free page proportion, which could not adapt to various application environments, to trigger the garbage collection process. To achieve efficient garbage collection in most application environments, we propose DT-GC, an adaptive garbage collection method with dynamic thresholds. In such scheme, garbage collection request with different priority could be triggered intelligently by dynamic thresholds, which are determined by the running state of SSDs.
Food Addiction: Its Prevalence and Significant Association with Obesity in the General Population

Background ‘Food addiction’ shares a similar neurobiological and behavioral framework with substance addiction. However whether, and to what degree, ‘food addiction’ contributes to obesity in the general population is unknown. Objectives to assess 1) the prevalence of ‘food addiction’ in the Newfoundland population; 2) if clinical symptom counts of ‘food addiction’ were significantly correlated with the body composition measurements; 3) if food addicts were significantly more obese than controls, and 4) if macronutrient intakes are associated with ‘food addiction’. Design A total of 652 adults (415 women, 237 men) recruited from the general population participated in this study. Obesity was evaluated by Body Mass Index (BMI) and Body Fat percentage measured by dual-energy X-ray absorptiometry. ‘Food addiction’ was assessed using the Yale Food Addiction Scale and macronutrient intake was determined from the Willet Food Frequency Questionnaire. Results The prevalence of ‘food addiction’ was 5.4% (6.7% in females and 3.0% in males) and increased with obesity status. The clinical symptom counts of ‘food addiction’ were positively correlated with all body composition measurements across the entire sample (p<0.001). Obesity measurements were significantly higher in food addicts than controls; Food addicts were 11.7 (kg) heavier, 4.6 BMI units higher, and had 8.2% more body fat and 8.5% more trunk fat. Furthermore, food addicts consumed more calories from fat and protein compared with controls. Conclusion Our results demonstrated that ‘food addiction’ contributes to severity of obesity and body composition measurements from normal weight to obese individuals in the general population with higher rate in women as compared to men.
Consensus decentralized control of multi-agent networked systems using vector Lyapunov functions

Consensus control problem for a group of agents in a multi-agent networked system is considered. The agents are modeled by linear dynamical systems and the interconnection topology of agent's network is represented as a directed weighted graph. A decentralized approach to the synthesis of consensus control is proposed, including a synthesis of the local stabilizing controllers for each agent of networked system and synthesis of consensus controllers to ensure the conditions of agent's coordination. Local regulators design for individual agents is based on the method of invariant ellipsoids and reduced to solving a system of linear matrix inequalities. The stability of the multi-agent system taking into account the relationship between the agents is performed by vector Lyapunov functions method which leads to the stability analysis of aggregated comparison system with low dimension.
Game Theoretic Model for the OFDM Water-Filling Algorithm with Imperfect Channel State Information

In this paper the game-theoretic model of the water-filling algorithm for an OFDM system is presented. The considered game model concerns the strategic choice of assigning the transmission power to each individual subcarrier in the situation of uncertainty regarding the channel state information (CSI). Strategies, utilities and payoffs are defined, and the application of the model in the time-varying radio environment is discussed. Simulation results show that by choosing the appropriate utility parameters and the CSI-error probability distribution model, a player can approach water-filling results in terms of the radio channel capacity and the transmitted power.
Yeast Mre11 and Rad1 Proteins Define a Ku-Independent Mechanism To Repair Double-Strand Breaks Lacking Overlapping End Sequences

ABSTRACT End joining of double-strand breaks (DSBs) requires Ku proteins and frequently involves base pairing between complementary terminal sequences. To define the role of terminal base pairing in end joining, two oppositely oriented HO endonuclease cleavage sites separated by 2.0 kb were integrated into yeast chromosome III, where constitutive expression of HO endonuclease creates two simultaneous DSBs with no complementary end sequence. Lack of complementary sequence in their 3′ single-strand overhangs facilitates efficient repair events distinctly different from when the 3′ ends have a 4-bp sequence base paired in various ways to create 2- to 3-bp insertions. Repair of noncomplementary ends results in a set of nonrandom deletions of up to 302 bp, annealed by imperfect microhomology of about 8 to 10 bp at the junctions. This microhomology-mediated end joining (MMEJ) is Ku independent, but strongly dependent on Mre11, Rad50, and Rad1 proteins and partially dependent on Dnl4 protein. The MMEJ also occurs when Rad52 is absent, but the extent of deletions becomes more limited. The increased gamma ray sensitivity of rad1Δ rad52Δ yku70Δ strains compared to rad52Δ yku70Δ strains suggests that MMEJ also contributes to the repair of DSBs induced by ionizing radiation.
Sensitivity analysis of models for high consistency refining process

This paper deals with the sensitivity analysis of models for the high consistency refining process in the pulp and paper industry. Several models reported in literature are considered, which are screened for their potential use in the design of controllers for refiners or in the optimization of refiner operation. For the two most promising models a sensitivity analysis is conducted which suggests that the temperature profile inside the refiner and the inlet consistency are the most important process variables. It is further suggested that both variables variables are utilized to control the refining process based on these models. Moreover, computer simulations with constant, linear increasing and parabolic temperature profiles are performed, which confirm the importance of the temperature profile for the entropy based model.
Hox genes as synchronized temporal regulators: implications for morphological innovation.

In vertebrates, clusters of Hox genes express in a nested and hierarchical fashion to endow the embryo's segments with discrete identities. Later in development, members of the same gene family are employed again to pattern the limb, intestinal, and reproductive systems. A careful analysis of the morphologies of Hox mutant mice suggests that the genes provide qualitatively different cues during the specification of segments than they do during the development of more recently derived structures. In addition to the regulatory differences noted by others, the activity of Hox genes during specification of the vertebrate metameres in some recent deletion experiments is inconsistent with a role for them as strictly spatial determinants. On the contrary, the phenotypes observed are suggestive of a role for them as elements of a generic time-keeping mechanism. By contrast, the specification of more recent evolutionary structures appears to be more spatial and gene-specific. These differences in role and effect may suggest some simple mechanisms by which the Hox clusters operate, and rules by which gene networks can be diverted to create new structures over the course of evolution. Specific predictions and experiments are proposed.
A GENERATIVE MODEL FOR TRUE ORTHORECTIFICATION

Orthographic images compose an efficient and economic way to repres ent aerial images. This kind of information allows to measure two-dimensional objects and relate these to Geographic Information Syste ms. This paper deals with the computation of a true orthographic image given a set of overlapping perspective images. These ar , together with the internal and external calibration the only input to our approach. These few requirements form a large advantag e to systems where the digital surface model (DSM), e.g. provided by LIDAR data, is necessary. We used a Bayesian approach and define a gener tiv model of the input images. In this, the input images are regarded as noisy measurements of an underlying true and hence unknown orthoimage. These measurements are obtained by an image formation process (generative model) that involves apart from the true orthoimage several additional parameters. Our goal is to invert the image formation process by estimating those parameters which m ake our input images most likely. We present results on aerial images of a complex urban environment.
HUBUNGAN ASUPAN GIZI DAN STATUS GIZI IBU HAMIL TRIMESTER III DENGAN BERAT BADAN LAHIR BAYI DI WILAYAH KERJA PUSKESMAS SURUH KABUPATEN SEMARANG

Latar belakang : Berat Badan Lahir Rendah (BBLR) merupakan salah satu masalah gizi yang berdampak pada kematian bayi. Faktor yang mempengaruhi berat lahir bayi meliputi asupan gizi ibu dan status gizi ibu. Prevalensi BBLR Puskesmas Suruh Kabupaten Semarang sebesar 4,2%, lebih tinggi dari prevalensi Provinsi Jawa Tengah (3,7%). Tujuan penelitian ini adalah membuktikan hubungan asupan gizi dan status gizi ibu hamil trimester III dengan berat badan lahir bayi di wilayah kerja Puskesmas Suruh. Metode : Jenis penelitian ini adalah analitik observasional dengan pendekatan longitudinal. Populasi penelitian adalah semua ibu hamil trimester III di Puskesmas Suruh. Pemilihan subjek (35 ibu hamil) dilakukan secara consecutive sampling. Variabel terikat adalah berat bayi lahir. Variabel bebas meliputi asupan gizi ibu (tingkat kecukupan energi, tingkat kecukupan protein, asupan Fe, asupan folat) dan status gizi ibu (lingkar lengan atas dan kadar hemoglobin). Data dianalisis menggunakan uji korelasi Pearson dan Spearman kemudian dilanjutkan dengan regresi linier ganda. Hasil penelitian : Rerata umur ibu adalah 26±5,92 tahun. Dibandingkan dengan AKG, asupan energi, protein, Fe dan folat berada dalam kategori kurang sebesar 100%, 91,4%, 25,7% dan 100%. Rerata kadar hemoglobin (10,9±0,62) g/dl dan lingkar lengan atas ibu ( 25 , 4±1 , 78) cm . Persentas e anemia pada ibu hamil 57,1% dan jumlah ibu hamil dengan KEK 17,1%. Rerata berat lahir bayi sebesar 2871,4±357,75 gram dan 17,1% menderita berat badan lahir rendah. Ada hubungan tingkat kecukupan energi (r=0,568 p=0,0001), tingkat kecukupan protein (r=0,5 4 1 p=0,001), asupan Fe/hari (r= 0,433 p=0,005), asupan folat/hari (r=0,301 p=0,039), lingkar lengan atas ibu (r=0,381 p=0,012) dan kadar hemoglobin ibu (r=0,431 p=0,005) dengan berat bayi lahir. Secara multivariat, tingkat kecukupan protein dan asupan Fe/hari pada ibu hamil merupakan faktor determinan berat badan lahir bayi . Simpulan : Tingkat kecukupan protein dan asupan Fe/hari ibu hamil trimester III berhubungan dengan berat badan lahir bayi.
Kaupapa Maori: Locating Indigenous Ontology, Epistemology and Methodology in the Academy

We discuss the burgeoning field of kaupapa Maori research in New Zealand. Maori intellectuals, in resistance to the colonial heritage and hegemony of New Zealand’s colonial past, are at the forefront of developing the kaupapa Maori paradigm. This intellectual endeavour has been part of the academy for decades. More recently, Maori intellectuals have begun to question and re-evaluate the tenets of their disciplines, from a distinctly Maori perspective. We present recent kaupapa Maori literature, commenting upon the ontological assumptions, epistemological perspectives and methodological frameworks for doing research with, by and for Maori. We explore Volume 8(2): 234–242 Copyright © 2001 SAGE (London, Thousand Oaks, CA and New Delhi)
Exploration oculaire et opérations cognitives de compréhension au cours de la lecture d'un texte

Resume Le but de cette experience est d'etudier les variations des strategies d'exploration oculaire en jonction des operations de comprehension au cours de la lecture d'un texte. Sont considerees les operations de selection d'enonces critiques necessaires a la realisation de la tâche et celles de mise en relation de ces enonces dans le but de produire des injerences. Deux groupes de sujets sont distingues selon l'objectif de lecture qui leur est assigne et qui les conduit a effectuer des operations differentes. Apres deux lectures, les sujets sont soumis a une epreuve de comprehension du texte. Les resultats ne montrent pas de difference entre les scores de comprehension moyens des deux groupes. Cependant, la prise en compte des protocoles individuels permet de constituer deux nouveaux groupes de sujets : comprehension faible et comprehension elevee. On analyse les variations de l'exploration oculaire en fonction du contenu informatif des lignes du texte et des scores de comprehension atteints par les sujets. La selection des enonces critiques se manifeste des la saisie perceptive par une modulation de l'activite oculomotrice : sur les lignes critiques, les durees de fixation sont plus longues, les saccades de progression et de regression sont plus nombreuses, ces dernieres ayant une amplitude elevee. Ces variations en fonction du contenu des lignes ne sont significatives que chez les sujets qui atteignent un score de comprehension eleve. Les donnees sont compatibles avec l'hypothese process monitoring de Rayner (1977). Mots cles : comprehension de texte, lecture, strategies d'exploration oculaire.
Rejoinder to ‘Annett's theory’ by McManus, Shergill & Bryden (1993)

Criticisms of the right shift (RS) theory (Annett, 1972, 1985) by McManus, Shergill & Bryden (1993) are shown to be ill-founded. The hypothesis of a genetic balanced polymorphism with heterozygote advantage (BP + HA) is not based on the misconceptions McManus et al. (1993) suppose, and the evidence for a BP + HA is more robust than they suggest. The RS theory continues to lead to new findings, some directly contrary to assumptions of McManus (1985).
Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking

We present a proof of concept to show how a deep network for end-to-end visuomotor learning to grasp is coupled with an attention focus mechanism for state-of-the-art object detection with convolutional neural networks. The cognitively motivated integration of both methods in a single robotic system allows us to realize a high-level interface to use the visuomotor network in environments with several objects, which otherwise would only be usable in environments with a single object. The resulting system is deployed on a humanoid robot, and we perform several real-world grasping experiments that demonstrate the feasibility of our approach.
Transfer in Sequential Multi-armed Bandits via Reward Samples

We consider a sequential stochastic multi-armed bandit problem where the agent interacts with bandit over multiple episodes. The reward distribution of the arms remain constant throughout an episode but can change over different episodes. We propose an algorithm based on UCB to transfer the reward samples from the previous episodes and improve the cumulative regret performance over all the episodes. We provide regret analysis and empirical results for our algorithm, which show significant improvement over the standard UCB algorithm without transfer.
An evaluation of RTP circuit breaker performance on LTE networks

Real-time multimedia comprises a large, and growing, fraction of mobile data traffic. An important subset of such flows are from interactive conferencing applications using RTP on UDP/IP to reduce latency. UDP has no congestion control, and while the IETF is developing RTP-level congestion control algorithms as part of the WebRTC standards, these will take time to finalise and deploy. In the interim, we proposed an RTP circuit breaker to the IETF. This can detect and stop RTP flows that cause excessive network congestion, acting as an envelope within which a congestion control algorithm can operate. We briefly review the design of the RTP circuit breaker, then present an initial evaluation of its performance on LTE networks. Our results show that the algorithm is conservative in overload situations with low delay and high loss. Such situations can occur due to active queue management in LTE networks. We propose changes to the RTP circuit breaker to better suit such networks, by using a different TCP throughput model that is more sensitive to the observed packet loss patterns.
Book review: YUNXIA ZHU, Written Communication Across Cultures: A Sociocognitive Perspective on Business Genres. Amsterdam: John Benjamins, 2005, 215 pp

the basis of a small corpus. He finds out that the Appraisal System is helpful for corpus analysis and different interpersonal meanings in the tourist websites are closely related to cultural stereotypes. He argues that stereotyping plays an important role in the construction of national identities. The volume ends up with a paper by Halliday, which is concerned with the ‘natural affinity’ between SFL and CL from a SFL perspective. The book is very interesting and well worth reading. Theoretically, the volume provides new insights into the relationship between SFL and CL and develops SFL as a theory for CL and CL as a methodology for SFL. Practically, the papers present examples of a corpus-driven approach to linguistic analysis.
Agile accelerated aging and degradation characterization of a V/F controlled Induction Motor

Although induction machines are reliable, they are subjected to some failures; the understanding degradation behaviour of Induction Motors (IM) is crucial for the adoption and application of health management methodologies on systems and industrial processes. Conveyor belt systems are subjects to speed changes along the working route and a big amount of start-stops cycles, this operating service causes on the IM a fatigue and deterioration for thermal and mechanical stresses. Consequently this paper presents a conveyor belt moved through and IM test bed, the software and hardware (National Instruments) development procedure is depicted, where the system is monitored performing a hybrid automaton, combining the continuous and discrete acquired system data, the main features are extracted and accelerated aging test results are presented. The degradation IM behaviour under thermal and thermomechanical stress is presented and the skin effect is observed.
Underprivilege as Privilege.

I had arrived a few minutes before clinic and was looking through the panoramic windows of the hospital’s newest wing. Staring at the expanse before me, I recognized a solitary attic window. It was a familiar sight because I had spent my childhood in that attic, living with my parents and often visited by the rats and roaches, our unwanted guests. Growing up, I spent hours watching the hospital through that attic window. Never did it cross my young mind, that years later, I would be staring back from the hospital, with a stethoscope around my neck. I was standing in a position of privilege, distanced from my former self by the education and socioeconomic capital I now possess. Before entering medicine, “privilege” was not a word I used much in conversation. High school was the last time I talked about privilege. Privilege means to have advantages in society by virtue of belonging to a certain group. To be of a certain ethnicity, to be educated, to be part of a higher socioeconomic class—these were all privileges described by my classmates. During this discussion, I grew increasingly perplexed as aspects of my upbringing that I thought were privileges were seen as otherwise. My family was supported by a homeless shelter before we moved into subsidized housing—the attic near the hospital. Food came from the food bank or soup kitchens. Clothing was second hand from the church donation bins. My parents did not have a university education, but they found jobs as factory
Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices

Edge intelligence enables resource-demanding Deep Neural Network (DNN) inference without transferring original data, addressing concerns about data privacy in consumer Internet of Things (IoT) devices. For privacy-sensitive applications, deploying models in hardware-isolated trusted execution environments (TEEs) becomes essential. However, the limited secure memory in TEEs poses challenges for deploying DNN inference, and alternative techniques like model partitioning and offloading introduce performance degradation and security issues. In this paper, we present a novel approach for advanced model deployment in TrustZone that ensures comprehensive privacy preservation during model inference. We design a memory-efficient management method to support memory-demanding inference in TEEs. By adjusting the memory priority, we effectively mitigate memory leakage risks and memory overlap conflicts, resulting in 32 lines of code alterations in the trusted operating system. Additionally, we leverage two tiny libraries: S-Tinylib (2,538 LoCs), a tiny deep learning library, and Tinylibm (827 LoCs), a tiny math library, to support efficient inference in TEEs. We implemented a prototype on Raspberry Pi 3B+ and evaluated it using three well-known lightweight DNN models. The experimental results demonstrate that our design significantly improves inference speed by 3.13 times and reduces power consumption by over 66.5% compared to non-memory optimization method in TEEs.
Behavioral Medicine in the Prevention and Treatment of Cardiovascular Disease

Cardiac behavioral medicine is the application of behavioral and psychosocial principles to the prevention and treatment of heart disease. Most biomedical cardiovascular risk factors (e.g., high blood lipids, high blood pressure, diabetes) require behavioral and medical interventions. Other risks, including obesity, high-fat eating pattern, smoking, and inactivity, clearly require lifestyle change. Behavioral medicine screening and intervention have been applied to psychosocial risk factors such as depression, hostility, and social isolation. Appropriate assessment of risk factors is essential because research has demonstrated successful prevention of heart disease and reduction of morbidity and mortality in patients with existing disease. Behavioral interventions have been beneficial in improving cardiac outcomes by enhancing compliance with medication taking and dietary/exercise recommendations. Future needs include the study of psychosocial factors in women and ethnic minorities with heart disease and the integration of behavioral medicine with newer medical technologies designed to detect subclinical biomarkers of heart disease.