Miracle-dz/UniFAR-FTUs huggingface dataset:
No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System

Deep learning (DL) models have become core modules for many applications. However, deploying these models without careful performance benchmarking that considers both hardware and software's impact often leads to poor service and costly operational expenditure. To facilitate DL models' deployment, we implement an automatic and comprehensive benchmark system for DL developers. To accomplish benchmark-related tasks, the developers only need to prepare a configuration file consisting of a few lines of code. Our system, deployed to a leader server in DL clusters, will dispatch users' benchmark jobs to follower workers. Next, the corresponding requests, workload, and even models can be generated automatically by the system to conduct DL serving benchmarks. Finally, developers can leverage many analysis tools and models in our system to gain insights into the trade-offs of different system configurations. In addition, a two-tier scheduler is incorporated to avoid unnecessary interference and improve average job compilation time by up to 1.43x (equivalent of 30\% reduction). Our system design follows the best practice in DL clusters operations to expedite day-to-day DL service evaluation efforts by the developers. We conduct many benchmark experiments to provide in-depth and comprehensive evaluations. We believe these results are of great values as guidelines for DL service configuration and resource allocation.
Robust Speaker Extraction Network Based on Iterative Refined Adaptation

Speaker extraction aims to extract target speech signal from a multi-talker environment with interference speakers and surrounding noise, given the target speaker's reference information. Most speaker extraction systems achieve satisfactory performance on the premise that the test speakers have been encountered during training time. Such systems suffer from performance degradation given unseen target speakers and/or mismatched reference voiceprint information. In this paper we propose a novel strategy named Iterative Refined Adaptation (IRA) to improve the robustness and generalization capability of speaker extraction systems in the aforementioned scenarios. Given an initial speaker embedding encoded by an auxiliary network, the extraction network can obtain a latent representation of the target speaker, which is fed back to the auxiliary network to get a refined embedding to provide more accurate guidance for the extraction network. Experiments on WSJ0-2mix-extr and WHAM! dataset confirm the superior performance of the proposed method over the network without IRA in terms of SI-SDR and PESQ improvement.
Large-Angle Precession of Magnetization Maintained by a Microwave Voltage

Effects of a microwave voltage on magnetization precession are analyzed based on a macrospin model. The microwave voltage induces the oscillating anisotropy field through the voltage controlled magnetic anisotropy (VCMA) effect, and then stimulates the magnetization. The large angle precession is maintained if the magnetization synchronizes with the microwave voltage. The effective equations of motion of the magnetization with an oscillating anisotropy field are derived, and the mechanism of the synchronization is clarified by analyzing the derived equations of motion. The conditions of the angular frequency detuning and the amplitude of the oscillating anisotropy field for synchronization are obtained. The results are useful for development of the VCMA-based energy-efficient spintronics devices using magnetization precession such as a VCMA-based magnetoresistive random access memory and a nano-scale microwave magnetic field generator.
Self-Driven “Microfiltration” Enabled by Porous Superabsorbent Polymer (PSAP) Beads for Biofluid Specimen Processing and Storage

A remote collection of biofluid specimens such as blood and urine remains a great challenge due to the requirement of continuous refrigeration. Without proper temperature regulation, the rapid degradation of analytical targets in the specimen may compromise the accuracy and reliability of the testing results. In this study, we develop porous superabsorbent polymer (PSAP) beads for fast and self-driven “microfiltration” of biofluid samples. This treatment effectively separates small analytical targets (e.g., glucose, catalase, and bacteriophage) and large undesired components (e.g., bacteria and blood cells) in the biofluids by capturing the former inside and excluding the latter outside the PSAP beads. We have successfully demonstrated that this treatment can reduce sample volume, self-aliquot the liquid sample, avoid microbial contamination, separate plasma from blood cells, stabilize target species inside the beads, and enable long-term storage at room temperature. Potential practical applications of this technology can provide an alternative sample collection and storage approach for medically underserved areas.
Comparison of Endocrine Therapies in Hormone Receptor-Positive and Human Epidermal Growth Factor Receptor 2-Negative Locally Advanced or Metastatic Breast Cancer: A Network Meta-Analysis

We aimed to explore what kind of endocrine treatments are optimal for hormone receptor-positive and human epidermal growth factor receptor 2-negative locally advanced or metastatic breast cancer in some specific clinical situations. We searched randomized controlled trials in Embase, Medline, the Cochrane library, and PubMed from inception to April 1, 2020 and performed a network meta-analysis based on a Bayesian fixed-effects model. Progression-free survival (PFS) with hazard ratios and corresponding 95% confidence interval was defined as the primary endpoint, while overall survival (OS), objective response rate (ORR), clinical benefit rate and serious adverse events were used as secondary endpoints. A total of 35 studies involving 12,285 patients and 24 treatment options were included. In general, most co-treatment options prolonged PFS compared to single-agent therapy, of which aromatase inhibitor (AI) plus everolimus and fulvestrant plus palbociclib were probably the most effective agents, and the latter had the best safety record. However, despite the superior efficacy of fulvestrant plus capecitabine for PFS and OS, palpable toxic effects have been demonstrated for this treatment, so its application must be scrupulously considered. The results of subgroup analysis indicated that fulvestrant combined with palbociclib improved prognosis for phosphatidylinositol 3-kinase (PI3K)-mutated patients, PI3K-unmutated patients, patients with endocrine therapy resistance, and visceral metastatic patients, while no obvious improvement was detected in OS. Moreover, the efficacy of fulvestrant plus cyclin-dependent kinase 4/6 (CDK4/6) inhibitors was slightly better than that of AI plus CDK4/6 inhibitors, while AI plus everolimus was more efficacious than fulvestrant combined with everolimus in terms of PFS, OS, and ORR. In conclusion, our results provide moderate evidence that fulvestrant plus palbociclib and AI plus everolimus were the most effective treatments, while the efficacy and safety of fulvestrant plus palbociclib was obviously superior in some specific clinical situations.
Analysis of rat brain lipids and metabolites after antidepressant drug treatment

I ACKNOWLEDGEMENTS.III PUBLICATIONS. IV ABBREVIATIONS . V TABLE OF CONTENT . IX LIST OF FIGURES . XIV LIST OF TABLES . XVIII CHAPTER 1 . 1 1.Introduction. 1 1.1 Depression. 2 1.2 Historical background.3 1.3 Pathogenesis of depression.4 1.3. 1 The monoamine hypothesis.4 1.3. 2 The neurotrophic hypothesis.4 1.3. 3 The lipid hypothesis.5 1.3. 4 The neuroendocrine hypothesis (The corticosteroid receptor hypothesis). 7 1.3. 5 The cytokine hypothesis.7 1.4 Monoamine neurotransmitters. 8 1.4. 1 Serotonin (5-hydroxytryptamine, 5-HT). 8 1.4. 2 Noradrenaline (NA). 13 1.4. 3 Dopamine (DA). 15 1.5. Antidepressant drugs.16 1.5. 1 Classification. 17 1.6 Anatomical and neurophysiological aspects. 20 1.6. 1 The prefrontal cortex. 20 1.6. 2 The hippocampus. 21 1.6. 3 The striatum. 22 1.7. Sphingolipids and depression. 23 1.8. The functional role of sphingolipids in biological membranes. 25 1.9. The role of lipid raft-sphingolipids in neuronal functions. 27 1.9. 1 Synaptic neurotransmission. 27 1.9. 2 Apoptosis (programmed cell death). 29 1.9. 3 Selective transport across the cell membrane. 30 1.10 Aim and objectives of this study. 30 CHAPTER 2. 32 2. Materials and methods. 32 2.1 Animals and drug treatment. 33 2.1.1 Habitation and environmental conditions. 33 2.1.2 Drug treatment. 34
Couplage de l’absorption dans une phase organique et de la biodégradation dans un réacteur multiphasique. Application au traitement de Composés Organiques Volatils hydrophobes

L’utilisation d’une phase organique a permis l’amelioration de l’absorption de Composes Organiques Volatils hydrophobes, tels que le Toluene et le DiMethylDiSulfure. Le cout de cette phase apolaire necessite d’inclure dans le procede une etape de regeneration afin de pouvoir la recycler dans le contacteur gaz-liquide. Aussi un bioreacteur multiphasique ou « Two Phase Partitioning Bioreactor » a ete realise a cet effet. Le choix de cette phase a ete effectue en se basant sur differents criteres, tels que l’efficacite du transfert gaz-liquide, une absence de solubilite dans l’eau, une non-biodegradabilite, et une biocompatibilite vis-a-vis des microorganismes. La phase organique retenue est une huile de silicone (PDMS). L’huile de silicone s’est revelee etre un absorbant favorisant le transfert gaz-liquide grâce a un faible coefficient de partage des COV (environ 3 Pa. M3. Mol-1). Les vitesses de transfert dans l’huile de silicone et dans l’eau sont similaires, alors que les rendements d’absorption sont superieurs a 95%. L’augmentation de la proportion d’huile dans l’eau a permis une amelioration de l’abattement des COV dans la phase gaz, avec un maximum pour l’absorption dans de l’huile pure. La regeneration de l’huile a ete effectuee dans un TPPB contenant 25% de PDMS en presence de boues activees. Dans les conditions optimales (boues activees acclimatees, aeration, agitation, 25% d’huile de silicone) les deux polluants cibles ont ete degrades avec des capacites eliminatoires elevees (jusqu’a 50 g. M-3. H-1). De plus, les premiers resultats sur une seconde categorie de solvants, les liquides ioniques, ont montre qu’ils pouvaient etre une alternative interessante a l’huile de silicone.
Biogeographical constraints in Glomeromycotinan distribution across forest habitats in China

Glomeromycotinan fungi associate with plant roots in a ubiquitous mutualism, the arbuscular mycorrhiza. Vegetation type, spatial distance, and environmental variability represent the three main factors shaping the structure of Glomeromycotinan communities. We present here one of the most comprehensive reports on Glomeromycotinan community structure in forest ecosystems, covering five ecosystem types. We explored the extent to which the latitudinal gradient in Glomeromycotinan diversity is confounded by the respective latitudinal gradient of host plants and how Glomeromycotinan communities diverge with spatial distance and environmental variability. We show that latitudinal differences in Glomeromycotinan α‐ and β‐diversity are largely shaped by the zonation patterns of ecosystem types and that differences among Glomeromycotinan communities occurring in different ecosystems are considerably larger than those occurring within the same ecosystem type. In contrast, we could observe little to no differences in phylogenetic community structure across samples, irrespective of their origin. In conclusion, several community assembly rules for Glomeromycotina in the woody systems, such as phylogenetic relationships, differed from those in grassland systems. Synthesis. We provide strong evidence that the latitudinal gradient in Glomeromycotinan diversity in woody systems is mainly driven by latitudinal differences in forest habitat types. Further exploring the causes of these differences across habitat types would probably reveal underexplored facets of the ecology of arbuscular mycorrhizal fungi.
The Role of the Nurse in the Management of Medicines During Transitional Care: A Systematic Review

Purpose To synthesise knowledge and to explore the role of the nurse in medicines management during transitional care. Methods An integrative systematic review was conducted. Electronic databases such as PubMed [including Medline], Web of Knowledge, Scopus, and Cinahl from January 2010 to April 2020 were searched. Original qualitative and quantitative studies written in English that focused on the role of the nurse in medicines management during transitional care, which included movement between short-term, long-term, and community healthcare settings were included. Results The search process led to the retrieval of 10 studies, which were published in English from 2014 to 2020. They focused on the role of the nurse in patients' medicines management during transitional care in various healthcare settings. Given variations in the aims and methods of selected studies, the review findings were presented narratively utilizing three categories developed by the authors. In the first category as ‘medication reconciliation process’ the nurse participated in obtaining medication history, performing medication review, identifying medication discrepancies, joint medication reconciliation and adjustment. The second category as ‘collaboration with other healthcare providers’ highlighted the nurses' role in clarifying medicines' concerns, interdisciplinary communication and consultation, discharge planning and monitoring. In the third category as ‘provision of support to healthcare recipients’, the nurse was responsible for interpersonal communication with patients, education about medicines, and simplification of medication regimens, and symptoms management during transitional care. Conclusion Nurses play a crucial role in the safety of medicines management during transitional care. Therefore, they should be empowered and more involved in medicines management initiatives in the healthcare system. Patient safety and avoidance of medication errors during transitional care require that medicines management becomes a multidisciplinary collaboration with effective communication between healthcare providers.
Simulation of Mechanical Behaviour of Materials using Constant Boundary Elements - A Discussion on the Accuracy of Results for Bars

The Boundary Element Method (BEM) is one among the most popular simulation techniques employed to simulate mechanical behaviour of materials, including smart engineering materials. Although BEM is a quite well-established numerical technique, literature tells that the method may not be well suited to simulate structures where one or two of the dimensions is much smaller than the remaining dimension/s (for a 3D problem). Hence in this work, deflection of a cantilever beam is simulated using constant boundary elements to get a feel of the accuracy of the BEM when used to simulate such type of structures. Although the concept is not new, the study assumes significance because studies which list the results in detail are not readily found in the literature. In this study, the results are obtained for different mesh resolutions also. The results indicate that - as expected - constant boundary elements are not a good choice for simulating the mechanical behaviour of smart materials when the structural member to be simulated is thin. Although it is a known fact that constant boundary elements converge very slowly, the present study helps to get a clearer picture on the accuracy and the convergence rate that one can expect from constant boundary elements. This paper heavily borrows content from this author’s PhD thesis [1]. The geometry considered in this paper is a bar. One may also note that the author is publishing another paper [2] (“Simulation of Mechanical Behaviour of Materials using Constant Boundary Elements - A Discussion on the Accuracy of Results for Beams”) that is very similar to this paper except that the geometry considered in that paper is a beam.
Spirometric classifications of COPD severity as predictive markers for clinical outcomes: the HUNT Study

ABSTRACT Rationale GOLD grades based on percent-predicted FEV1 poorly predicts mortality. Studies have recommended alternative expressions of FEV1 for the classification of COPD severity and they warrant investigation. Objective To compare the predictive abilities of ppFEV1 (ppFEV1 quartiles, GOLD grades, ATS/ERS grades), FEV1 z-score (FEV1 z-score quartiles, FEV1 z-score grades), FEV1.Ht-2 (FEV1.Ht-2 quartiles, FEV1.Ht-2 grades), FEV1.Ht-3 (FEV1.Ht-3 quartiles), and FEV1Q (FEV1Q quartiles) to predict clinical outcomes. Methods People aged [≥]40 years with COPD (n=890) who participated in the HUNT Study (1995-1997) were followed for 5 years (short-term) and up to 20.4 years (long-term). Survival analysis and time-dependent area under curve (AUC) were used to compare the predictive abilities. A regression tree approach was applied to obtain optimal cut-offs of different expressions of FEV1. The UK Biobank (n=6495) was used as a replication cohort with a 5-year follow-up. Measurements and Main Results As a continuous variable, FEV1Q had the highest AUCs for all-cause mortality (short-term 70.2, long-term 68.3), respiratory mortality (short-term 68.4, long-term 67.7), cardiovascular mortality (short-term 63.1, long-term 62.3), COPD hospitalization (short-term 71.3, long-term 70.9), and pneumonia hospitalization (short-term 67.8, long-term 66.6), followed by FEV1.Ht-2 or FEV1.Ht-3. Generally, similar results were observed for FEV1Q quartiles. The optimal cut-offs of FEV1Q had higher AUCs compared to GOLD grades for predicting short-term and long-term clinical outcomes. Similar results were found in UK Biobank. Conclusions FEV1Q best predicted the clinical outcomes and could improve the classification of COPD severity.
Simultaneous Removal of Microcystis aeruginosa and 2,4,6-Trichlorophenol by UV/Persulfate Process

UV/persulfate (UV/PS) could effectively degrade algal cells and micro-organic pollutants. This process was firstly applied to remove Microcystis aeruginosa (M. aeruginosa) and 2,4,6-trichlorophenol (TCP) simultaneously in bench scale. Algal cells can be efficiently removed after 120 min reaction accompanied with far quicker removal of the coexisted TCP, which could be totally removed within 5 min in the UV/PS process. Both SO4•- and HO• were responsible for algal cells and TCP degradation, while SO4•- and HO• separately dominated TCP degradation and algal cells removal. Apart from the role of radicals (SO4•- and HO•) for algal cells and TCP degradation, UV also played a role to some extent. Increased PS dose (0–4.5 mM) or UV intensity (2.71–7.82 mW/cm2) could enhance the performance of the UV/PS process in both TCP and algae removal. Although some intracellular organic matters can be released to the outside of algal cells due to the cell lysis, they can be further degraded by UV/PS process, which was inhibited by the presence of TCP. This study suggested the good potential of the UV/PS process in the simultaneous removal of algal cells and micro-organic pollutants.
Effect of Egyptian Leek Leaf Extract Supplementation on Productive and Economic Performance of Broilers

Antibiotic growth promoters have been used to improve growth and feed conversion in the poultry industry for a long time; however, they were banned because of several life-threatening side effects in animals, poultry, and humans. This work was carried out to investigate the effect of leek (Allium ampeloprasum var. kurrat) leaf extract (LLE) as a non-traditional growth promoter and feed additive on growth performance, carcass characteristics, serum biochemical parameters, and economic efficiency of broilers. Hubbard unsexed 1-day-old broilers (n = 250) were fed with diets supplemented with LLE for 42 days. The experimental chicks were randomly assigned to one of the five treatment groups varying in LLE quantity in diets: 0% (control), 0.05, 0.1, 0.15, and 0.2%, with five replicates per treatment (50 chicks/treatment or 10 chicks/replicate). Results showed that LLE supplementation improved (P < 0.05) different growth performance parameters. Furthermore, dietary LLE not only decreased serum total cholesterol, triglyceride, low-density lipoprotein, and glucose levels but also increased serum high-density lipoprotein level compared to the control diet. The weight percentages of dressing (P = 0.022) and liver (P = 0.041) showed a marked increase after the addition of LLE. Return, net profit, and collective efficiency measures were increased (P = 0.001) in all LLE groups compared with the control group. Broilers that fed on diets containing 0.2% LLE showed the highest growth and economic efficiency. It could be concluded that supplementation with LLE in broilers has growth-promoting effects, improved biochemical parameters, carcass quality, and promoted economic efficiency through maximizing both return and net profit.
Toothbrushing data and analysis of its potential use in human activity recognition applications: dataset

In this paper, we describe and analyze a time-series dataset from toothbrushing activity using brush-attached and wearable sensors. The data was collected from 17 participants when they brushed their teeth over one week in 5 different locations. The dataset consists of 62 toothbrushing sessions for each of the brush-attached and wearable sensor approaches, using both electric and manual brushes. The average duration of each session is 2 minutes. One sensor device was attached to the handle of the brush while the other was worn by the participants as a wrist-watch. We collected the data from a 3-axis accelerometer and a 3-axis gyroscope at a 200 Hz sampling rate. Most of the data has been labelled. We investigated the characteristics of the data using spectral analysis and performed a pre-processing pipeline in order to generate features used to train a Support Vector Machine Classifier. We were able to identify which part of the jaw was being brushed with 98.6% accuracy.
Revisiting the Economic Impacts of Eimeria and Its Control in European Intensive Broiler Systems With a Recursive Modeling Approach

Ionophore compounds active against Eimeria species are widely used in intensive broiler systems and have formed the backbone of coccidiosis control for almost 50 years. Producers, however, are under pressure to reduce ionophore use due to consumer concerns over antimicrobial usage in food animals, and antimicrobial resistance. Moreover, current vaccines against Eimeria are commonly considered to be less cost-effective in intensive broiler systems, especially in Europe where attenuated live vaccines are used. An economic assessment of the impact of Eimeria and the disease coccidiosis, including the cost implications of different efficacies of control, is therefore timely to provide evidence for industry and policy development. A mechanistic model of broiler production under varying infection and control states was used to construct a dataset from which system productivity can be measured. Coccidiosis impact increased rapidly as control efficacy decreased. In the total absence of control, median impact was found to maximize at between €2.55 and €2.97 in lost production per meter squared of broiler house over a 33 day growing period. Coccidiosis remains a major risk to intensive broiler systems and the model developed allows investigation of issues related to coccidiosis control, antimicrobial use and the development of antimicrobial resistance.