Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential Cavitation, Angiogenesis and Wound- Healing Responses in Injured Mouse and Rat Spinal Cords Accepted Manuscript Differential Cavitation, Angiogenesis and Wound Healing Responses in Injured Mouse and Rat Spinal Cords Differential Cavitation, Angiogenesis and Wound Healing Responses in In

Differential cavitation, angiogenesis and wound-healing responses in injured mouse and rat spinal cords' Neuroscience, vol 275, pp. 62-80.s version of a work that was accepted for publication in Neuroscienc. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently General rights When referring to this publication, please cite the published version. Copyright and associated moral rights for publications accessible in the public portal are retained by the authors and/or other copyright owners. It is a condition of accessing this publication that users abide by the legal requirements associated with these rights. • You may freely distribute the URL that is used to identify this publication. • Users may download and print one copy of the publication from the public portal for the purpose of private study or non-commercial research. • If a Creative Commons licence is associated with this publication, please consult the terms and conditions cited therein. • Unless otherwise stated, you may not further distribute the material nor use it for the purposes of commercial gain. Take down policy If you believe that this document infringes copyright please contact UBIRA@lists.bham. ac.uk providing details and we will remove access to the work immediately and investigate. Differential cavitation, angiogenesis and wound healing responses in injured mouse and rat spinal cords, This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ABSTRACT The vascular disruption, blood vessel loss and cavitation that occur at spinal cord injury (SCI) epicentres in mice and rats are different, but few studies have compared the acute SCI response in the two species. This is of interest since key elements of the rat SCI response are shared with humans. In this study, we investigated acute SCI responses and characterised changes in pro-and anti-angiogenic factors and matrix deposition in both species. Cavitation was absent in mouse but the …
De la fouille de données à la fabrique de l'opinion. Enjeux épistémologiques et propositions

Dans cet article nous proposons une reflexion sur les enjeux epistemologiques et l'histoire de la fouille d'opinion. A l'aide d'exemples pris dans des recherches en cours, nous illustrons la situation de cette pratique dans le cadre du schema de la communication herite de la theorie de l'information. Nous nous interessons particulierement a la question de l'identification et de la restitution de l'emetteur porteur d'opinion, de ses valeurs et de son mode d'expression a partir de l'analyse des textes. Des pistes issues de theories enonciatives et textuelles sont proposees pour une amelioration des performances de l'analyse de la subjectivite.
An evaluation of multi-basin hydrological modelling for predictions in ungauged basins.

Availability of data is the limiting condition for reliable hydrological predictions in many regions of the world. One possible solution is to increase the scale of hydrological models so as to encompass data sparse regions within larger regions where data are available. A growing number of hydrological model studies use the spatial distribution of soils and vegetation to predict spatially-varying catchment behaviour. This introduces the potential to setup and use hydrological models over larger scales and simultaneously over several river basins. Such models can be set up easily, over very large regions, using freely available global data sets. However, the questions remain: (a) can a multi-basin hydrological model be calibrated using a uniform parameter set? and (b) can the uniformly calibrated, multi-basin hydrological model be used to make reasonable predictions in ungauged basins? Two different multi-basin regions were set up and calibrated using uniform land-use and soil-type dependent parameters in the HYPE hydrological model. Results indicate that a reasonable calibration can be achieved for a large multi-basin model set using readily available global input databases and using a homogenous parameter set.
Meta-Evaluation of Worksite Health Promotion Economic Return Studies.

This meta-evaluation provides a standardized look at the quality of the economic evaluation literature for multi-component worksite health promotion programs. Analysis of 42 studies suggests that the evidence is very strong for average reductions in sick leave, health plan costs, and workers' compensation and disability costs of slightly more than 25 percent. (SM)
Stages of change.

"IT ISN'T THAT WE CAN'T SEE THE SOLUTION. IT IS THAT WE CAN'T SEE THE PROBLEM" Precontemplators usually show up in therapy because of pressures from others. spouses, employers, parents, and courts. Resist change. When their problem comes up, they change the topic of conversation. They place responsibility for their problems on factors such as genetic makeup, addition, family, society, destiny, the police, etc.
OEMED64758 176..183

Objectives Although occupational noise is a well known risk factor for hearing loss, little epidemiological evidence has been reported on its association with hearing loss in the general population, in part, because of the difficulty in exposure assessment. This study introduced a quantitative occupational noise exposure assessment tool using the Occupational Information Network (O*NET) database and evaluated its applicability for epidemiological research using data from the National Health and Nutrition Examination Survey
Atlantic Meridional Overturning Circulation is stable under global warming

Many new studies have been published supporting the hypothesis that the Atlantic Meridional Overturning Circulation (AMOC) is experiencing a slowdown. These studies are based on proxies, climate model predictions, or a combination of both. The latest work (1) is only based on predictions. The AMOC is allegedly slowing down at an increased rate because of the Arctic ice melting as predicted by climate models. Recent satellite information for the Arctic shows a shrinking sea ice and warming temperatures since 1978. Scattered prior information dating back to the mid-1800s shows the shrinking of Arctic sea ice possibly started in the mid-1800s with superimposed strong interannual and multidecadal oscillations, consistent with the Arctic temperature pattern (2⇓– …
Possible precursor to the March 11, 2011, Japan earthquake: ionospheric perturbations as seen by subionospheric very low frequency/ low frequency propagation

This study reports on a possible very low frequency/low frequency (VLF/LF) subionospheric precursor to a recent earthquake in Japan. As the epicenter of this large Japanese earthquake on March 11, 2011, was located just on the great-circle path from one of our VLF/LF network stations (Chofu) to the NLK US transmitter, we examined the propagation characteristics mainly associated with the signals from the NLK transmitter, as observed at three of the stations in Japan (Chofu, Kasugai and Kochi). On March 5 and 6, 2011, a remarkable anomaly was found on the path from NLK to Chofu, which is highly likely to have been a precursor to this earthquake. The anomaly in the night-time average amplitude at Chofu was characterized by a serious decrease in the signal that exceeded −4v (v: standard deviations). The anomaly was found on the same days on the other propagation paths (from NLK to both Kasugai and Kochi), although it was less enhanced. Finally, this propagation anomaly is extensively discussed with respect to the geomagnetic activity, and we also compare this anomaly with the properties related to the former 2004 Sumatra earthquake that had nearly the same magnitude as this March 11, 2011, earthquake.
Distributed Multi-agent Reinforcement Learning for Directional UAV Network Control

In this article, we propose a distributed medium access control (MAC) protocol for the unmanned aerial vehicle (UAV) network with directional antennas. It uses a distributed learning algorithm to control each node's communication parameters (such as sending rate) according to the observations of only 1-hop neighbors. Because of the asynchronous and decentralized nature of multi-agent deep distributed reinforcement learning (MADDRL), we adopt Multi Agent Deep Deterministic Policy Gradient (MADDPG) [3] to generate discrete actions for the MAC layer protocol. Under the individual and distributed observations of the environment, each node/agent can update their own states and rewards locally. Moreover, two major communication quality evaluation metrics - throughput (THR) and delay (DEL) are used to show the effectiveness and scalability of the distributed algorithm. From the results, the protocol using MADDPG shows more advantages than the general MAC schemes, including higher end-to-end THR, lower queuing DEL, and lower communication message exchange.
Let It Go: Relieving Garbage Collection Pain for Latency Critical Applications in Golang

Garbage Collection (GC) is a representative automatic memory manager widely deployed in popular programming languages, such as Java, C\#, and Golang (Go). Through GC, these languages provide programmers with flexibility and safety. However, GC leads to non-trivial overhead in compute and memory resources during application runtime. GC threads compete with non-GC threads (mutators) of an application, which particularly impacts latency-critical (LC) applications and causes long tail latency. Existing GC approaches do not efficiently address the interference, as GC is triggered passively without a global insight of the application; or they employ incremental GC to reduce the interference, while the incremental progress is not dynamically tailored during GC process according to runtime characteristics, which leads to significant performance degradation upon bursty requests. We present LEGO, an efficient and non-intrusive GC framework that deploys a novel elastic incremental GC mechanism integrated with an adaptive GC scheduler to reduce CPU contention between GC and mutators, and improve resource utilization and QoS of LC applications. We choose to develop LEGO in Go, as Go is specifically designed for cloud applications and the current GC mechanisms for JVM are ineffective for Go due to its unique GPM thread scheduling and memory allocation model. LEGO adapts incremental GC into Go to tackle the full GC issue and addresses resource contention with a proactive scheduler for adaptive GC triggering. Importantly, LEGO leverages the elastic incremental GC mechanism in mitigating the interference from unavoidable GC in face of bursts of requests. We implement and evaluate LEGO with popular LC applications developed in Go. Results show that compared to the default Go GC and a tailored G1 GC, LEGO significantly improves both the tail latency and throughput for LC applications.
A low-cost binaural hearing support system for mobile robots

The ability to quickly obtain a comprehensive picture of the environment is an important prerequisite for the realization of robust and safe autonomous navigation with mobile robots. Due to their comparatively low computational requirements and cost, as well as their ability to provide omnidirectional perception, audio systems can be an excellent complement to more sophisticated or expensive sensing systems such as cameras or lidars. In this paper, we describe the development of a low-cost binaural audio system capable of interpreting the acoustic information present in an environment to assist a lidar system in making decisions that need to be made by a mobile robot. By taking advantage of the robot’s mobility, the system can resolve the uncertainties inherent in consciously choosing two off-the-shelf microphones and effectively realize 360-degree coverage. This opens up new possibilities, for example, to make room monitoring much more reliable.
From Fairies to Giants: Untangling the Effect of Body Size, Phylogeny, and Ecology on Vertebral Bone Microstructure of Xenarthran Mammals

Synopsis Trabecular bone is a spongy bone tissue that serves as a scaffolding-like support inside many skeletal elements. Previous research found allometric variation in some aspects of trabecular bone architecture (TBA) and bone microstructure, whereas others scale isometrically. However, most of these studies examined very wide size and phylogenetic ranges or focused exclusively on primates or lab mice. We examined the impact of body size on TBA across a smaller size range in the mammalian clade Xenarthra (sloths, armadillos, and anteaters). We µCT-scanned the last six presacral vertebrae of 23 xenarthran specimens (body mass 120 g–35 kg). We collected ten gross-morphology measurements and seven TBA metrics and analyzed them using phylogenetic and nonphylogenetic methods. Most metrics had similar allometries to previous work. However, because ecology and phylogeny align closely in Xenarthra, the phylogenetic methods likely removed some covariance due to ecology; clarifying the impact of ecology on TBA in xenarthrans requires further work. Regressions for Folivora had high P-values and low R-squared values, indicating that the extant sloth sample either is too limited to determine patterns or that the unique way sloths load their vertebral columns causes unusually high TBA variation. The southern three-banded armadillo sits far below the regression lines, which may be related to its ability to roll into a ball. Body size, phylogeny, and ecology impact xenarthran TBA, but parsing these effects is highly complex.
Determinants of COVID-19 Vaccine Uptake in The Netherlands: A Nationwide Registry-Based Study

By September 2022, uptake of at least one dose of COVID-19 vaccine in the Dutch adult population was 84%. Ecological studies have indicated lower uptake in certain population groups. We aimed to investigate determinants of COVID-19 vaccine uptake in the Netherlands at individual level to evaluate and optimize implementation of the vaccination program and generate hypotheses for research on drivers of and barriers to vaccination. A retrospective database study was performed including the entire Dutch population [≥]18. Vaccination data (5 January 2021 - 18 November 2021) were at individual level linked to sociodemographic data. Random forest analyses ranked sociodemographic determinants of COVID-19 vaccine uptake. The most important determinant was age; uptake increased until the age of 80 (67% in 18-35 years, 92% in 67-79 years and 88% in those >80). Personal income and socioeconomic position ranked second and third, followed by migration status. Uptake was lower among individuals in the lowest income group (69%), receiving social benefits (56%), and individuals with two parents born abroad (59%). Our finding that age is the most important determinant for uptake likely reflects the prioritisation of elderly in the programme and the general understanding of their increased vulnerability. However, our findings also reveal important other disparities in vaccine uptake. How to best address this inequity in future vaccination campaigns requires further research.
A NOVEL COMPRESSION ALGORITHM BASED ON SPARSE SAMPLING OF 3-D LASER RANGE SCANS

A NOVEL COMPRESSION ALGORITHM BASED ON SPARSE SAMPLING OF 3-D LASER RANGE SCANS Oğuzcan Dobrucalı M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Billur Barshan July 2010 3-D models of environments can be very useful and are commonly employed in areas such as robotics, art and architecture, environmental planning and documentation. A 3-D model is typically comprised of a large number of measurements. When 3-D models of environments need to be transmitted or stored, they should be compressed efficiently to use the capacity of the communication channel or the storage medium effectively. In this thesis, we propose a novel compression technique based on compressive sampling, applied to sparse representations of 3-D laser range measurements. The main issue here is finding highly sparse representations of the range measurements, since they do not have such representations in common domains, such as the frequency domain. To solve this problem, we develop a new algorithm to generate sparse innovations between consecutive range measurements acquired while the sensor moves. We compare the sparsity of our innovations with others generated by estimation and filtering. Furthermore, we compare the compression performance of our lossy compression method with widely used lossless and lossy compression techniques. The proposed method offers small compression ratio and provides a reasonable compromise between reconstruction error and processing time.
Origine, qualité et réactivité de la matière organique d'origine continentale dans les sédiments du prodelta du Rhône et sur le plateau adjacent

Le Rhone est la principale source d'eau douce et de materiels terrigenes vers le bassin mediterraneen. Le prodelta du Rhone est caracterise par des taux d'accumulation sedimentaire eleves et par une remineralisation intense de la matiere organique sedimentee, ce qui est typique des environnements deltaiques. Une question est soulevee sur le devenir de ces grandes quantites de carbone organique delivrees par le fleuve vers le milieu marin et en particulier leur impact sur les communautes microbiennes benthiques et l'intensite du recyclage de la matiere organique. Le programme multi-disciplinaire "Climate and Human-induced Alterations in Carbon Cycling at the River seA connection" (CHACCRA) a ete concu pour etudier le devenir des elements nutritifs et de la matiere organique delivree par le Rhone sur la marge continentale adjacente. Lors de quatre campagnes de terrain realisees en avril 2007, mai 2008, decembre 2008 et juin 2009, des carottes de sediments ont ete prelevees a l'embouchure du fleuve et sur le plateau adjacent. La contribution des apports continentaux et leur distribution ont ete etudiees a l'aide de parametres globaux (granulometrie, azote total et carbone organique), tandis que les descripteurs moleculaires (pigments, acides gras, acides amines totaux et biodisponibles) ont permis de determiner l'origine, et d'evaluer la qualite ainsi que l'etat de degradation de la matiere organique dans les sediments. La structure de la communaute bacterienne a ete caracterisee par la technique de polymorphisme de conformation des simples brins par electrophorese capillaire (CE-SSCP). Ces travaux mettent en evidence des gradients d'origine et de qualite depuis l'embouchure vers le large. De plus, l'influence des evenements de crue est clairement visible dans les sediments, et les signatures biochimiques des depots sont differentes selon le type de crue. Enfin, l'incubation des sediments a permis d'evaluer la degradabilite en condition oxique de la matiere organique sedimentaire a l'embouchure et de montrer que la fraction labile etait tres reactive a la degradation.
Can a Sparse 29 × 29 Pixel Chaos Game Representation Predict Protein Binding Sites using Fine-Tuned State-of-the-Art Deep Learning Semantic Segmentation Models?

No. While our experiments ultimately failed, this work was motivated by the seemingly reasonable hypothesis that encoding protein sequences as a fractal-based image in combination with a binary mask identifying those pixels representative of the protein binding interface could effectively be used to fine-tune a semantic segmentation model. We were wrong. Despite the shortcomings of this work, a number of insights were drawn, inspiring discussion about how this fractal-based space may be exploited to generate effective protein binding site predictors in the future. Furthermore, these realizations promise to orient complimentary studies leveraging fractal-based representations, whether in the field of bioinformatics, or more broadly within disparate fields leveraging sequence-type data, such as Natural Language Processing. In a non-traditional way, this work presents the experimental design undertaken and interleaves various insights and limitations. It is the hope of this work that those interested in leveraging fractal-based representations and deep learning architectures as part of their work will benefit from the insights arising from this work.
Baseline Tumor Size as Prognostic Index in Patients With Advanced Solid Tumors Receiving Experimental Targeted Agents

Abstract Background Baseline tumor size (BTS) has been associated with outcomes in patients with cancer treated with immunotherapy. However, the prognostic impact of BTS on patients receiving targeted therapies (TTs) remains undetermined. Methods We reviewed data of patients with advanced solid tumors consecutively treated within early-phase clinical trials at our institution from 01/2014 to 04/2021. Treatments were categorized as immunotherapy-based or TT-based (biomarker-matched or not). BTS was calculated as the sum of RECIST1.1 baseline target lesions. Results A total of 444 patients were eligible; the median BTS was 69 mm (IQR 40-100). OS was significantly longer for patients with BTS lower versus higher than the median (16.6 vs. 8.2 months, P < .001), including among those receiving immunotherapy (12 vs. 7.5 months, P = .005). Among patients receiving TT, lower BTS was associated with longer PFS (4.7 vs. 3.1 months, P = .002) and OS (20.5 vs. 9.9 months, P < .001) as compared to high BTS. However, such association was only significant among patients receiving biomarker-matched TT, with longer PFS (6.2 vs. 3.3 months, P < .001) and OS (21.2 vs. 6.7 months, P < .001) in the low-BTS subgroup, despite a similar ORR (28% vs. 22%, P = .57). BTS was not prognostic among patients receiving unmatched TT, with similar PFS (3.7 vs. 4.4 months, P = .30), OS (19.3 vs. 11.8 months, P = .20), and ORR (33% vs. 28%, P = .78) in the 2 BTS groups. Multivariate analysis confirmed that BTS was independently associated with PFS (P = .03) and OS (P < .001) but not with ORR (P = .11). Conclusions Higher BTS is associated with worse survival outcomes among patients receiving biomarker-matched, but not biomarker-unmatched TT.
Oncological outcomes after attempted nerve‐sparing radical prostatectomy (NSRP) in patients with high‐risk prostate cancer are comparable to standard non‐NSRP: a longitudinal long‐term propensity‐matched single‐centre study

To assess the long‐term safety of nerve‐sparing radical prostatectomy (NSRP) in men with high‐risk prostate cancer (PCa) by comparing survival outcomes, disease recurrence, the need for additional therapy, and perioperative outcomes of patients undergoing NSRP to those having non‐NSRP.
Prospective study to assess the efficacy and safety of a noninvasive electro‐muscular stimulation for improvement of muscle strength and muscle toning of the extremities

We sought to evaluate the safety and efficacy of an electrical muscle stimulation (EMS) device in the improvement of muscle strength and toning of the upper extremities. This device, which is FDA‐cleared as a two‐channel muscle stimulator, provides up to eight electrodes with waveforms inducing muscle stimulation. Although a prior study demonstrated it is safe and effective for use in the abdomen, this system, which has electrodes specifically designed for the extremities, has not previously been evaluated in the upper extremities.