Negative / Null Result ReportOpen accessComputer Science
Luigi Giannelli, Ralf Betzholz, Laura Kreiner et al. · 2016 · arXiv
We theoretically analyse the cooling dynamics of a high-Q mode of a mechanical resonator, when the structure is also an optical cavity and is coupled with a NV center. The NV center is driven by a laser and interacts with the cavity photon field and with the strain field of the mechanical oscillator, while radiation pressure couples mechanical resonator and cavity field. Starting from the full master equation we derive the rate equation for the mechanical resonator's motion, whose coefficients depend on the system parameters and on the noise sources. We then determine the cooling regime, the c
Negative / Null Result ReportOpen accessComputer Science
Elias Hossain, Md Mehedi Hasan Nipu, Maleeha Sheikh et al. · 2025 · arXiv
Clinical language models often assign high confidence to incorrect predictions, particularly in high-severity and out-of-distribution cases. We present MedBayes-Lite, a retraining-free uncertainty governance layer for transformer-based clinical predictors. It combines Monte Carlo dropout, predictive calibration, and confidence-guided abstention to defer low-confidence predictions for human review, adding no trainable parameters. Evaluated on MedMCQA and MedQA-USMLE, MedBayes-Lite reduces expected calibration error by 0.23 to 0.33 and drives harmful overconfident errors (confident, incorrect, h
Negative / Null Result ReportOpen accessComputer Science
Lei Wang · 2026 · arXiv
The endpoint region $ζ\to1$ of the NLO forward jet vertex has not been systematically separated from BFKL energy-scale terms in Mueller-Navelet phenomenology. Starting from the small-cone NLO vertex, we isolate the quark and gluon plus distributions and construct a BFKL-aware threshold matching scheme that preserves exact NLO accuracy. The conservative Scheme-II exponent resums only the ordinary endpoint logarithms and leaves the $χ(n,γ)\ln\bar N$ term in the fixed-order coefficient, avoiding an uncontrolled tower of mixed endpoint-BFKL logarithms. In fixed-baseline CMS tests, this matched ver
Negative / Null Result ReportOpen accessPhysics
Jaroslaw Zdebik · 2008 · arXiv
The work was carried out in the framework of the KLOE collaboration studying the decays of the phi meson produced in the DAFNE accelerator in the collisions of electron and positron. The main aim of this thesis was investigation of the influence of the merging and splitting of clusters in decays with the high multiplicity of gamma quanta, which are at most biased by these effects. For this aim we implemented the full geometry and realistic material composition of the barrel electromagnetic calorimeter in FLUKA package. The prepared Monte Carlo based simulation program permits to achieve a fast
Negative / Null Result ReportOpen accessComputer Science
Silas L. Fong, Vincent Y. F. Tan · 2017 · arXiv
This paper investigates the asymptotic expansion for the maximum rate of fixed-length codes over a parallel Gaussian channel with feedback under the following setting: A peak power constraint is imposed on every transmitted codeword, and the average error probability of decoding the transmitted message is non-vanishing as the blocklength increases. It is well known that the presence of feedback does not increase the first-order asymptotics of the channel, i.e., capacity, in the asymptotic expansion, and the closed-form expression of the capacity can be obtained by the well-known water-filling
Negative / Null Result ReportOpen accessComputer Science
Jennifer Haase, Jana Gonnermann-Müller, See Heng Yim et al. · 2026 · arXiv
Large language model (LLM)-based simulations of clinical patients are increasingly used for research and training, yet their validity requires persona stability: coherent maintenance of an assigned psychological profile across and within conversations. We evaluate this prerequisite using eating disorder personas grounded in five published case vignettes, a dual-assessment framework (self-report + independent observer ratings), and validated psychometric instruments (EDE-Q) with known ground-truth scores. Across six LLMs and two experiments (between-conversation stability (Exp. I) and within-co
Negative / Null Result ReportOpen accessComputer Science
Vitaly Kurin, Maximilian Igl, Tim Rocktäschel et al. · 2020 · arXiv
Multitask Reinforcement Learning is a promising way to obtain models with better performance, generalisation, data efficiency, and robustness. Most existing work is limited to compatible settings, where the state and action space dimensions are the same across tasks. Graph Neural Networks (GNN) are one way to address incompatible environments, because they can process graphs of arbitrary size. They also allow practitioners to inject biases encoded in the structure of the input graph. Existing work in graph-based continuous control uses the physical morphology of the agent to construct the inpu
Negative / Null Result ReportOpen accessPhysics
Atsushi Taruya, Takahiro Nishimichi, Donghui Jeong · 2021 · arXiv
Perturbation theory (PT) has been used to interpret the observed nonlinear large-scale structure statistics at the quasi-linear regime. To facilitate the PT-based analysis, we have presented the GridSPT algorithm, a grid-based method to compute the nonlinear density and velocity fields in standard perturbation theory (SPT) from a given linear power spectrum. Here, we further put forward the approach by taking the redshift-space distortions into account. With the new implementation, we have, for the first time, generated the redshift-space density field to the fifth order and computed the next-
Negative / Null Result ReportOpen accessComputer Science
Jin Zeng, Yang Liu, Gene Cheung et al. · 2022 · arXiv
A graph convolutional network (GCN) employs a graph filtering kernel tailored for data with irregular structures. However, simply stacking more GCN layers does not improve performance; instead, the output converges to an uninformative low-dimensional subspace, where the convergence rate is characterized by the graph spectrum -- this is the known over-smoothing problem in GCN. In this paper, we propose a sparse graph learning algorithm incorporating a new spectrum prior to compute a graph topology that circumvents over-smoothing while preserving pairwise correlations inherent in data. Specifica
Negative / Null Result ReportOpen accessComputer Science
Wentao Zhao, Dalin Zhou, Xinguo Qiu et al. · 2020 · arXiv
Graph neural networks (GNNs) have been investigated for potential applicability in multiple fields that employ graph data. However, there are no standard training settings to ensure fair comparisons among new methods, including different model architectures and data augmentation techniques. We introduce a standard, reproducible benchmark to which the same training settings can be applied for node classification. For this benchmark, we constructed 9 datasets, including both small- and medium-scale datasets from different fields, and 7 different models. We design a k-fold model assessment strate
Negative / Null Result ReportOpen accessComputer Science
Charles Jin, Melinda Sun, Martin Rinard · 2021 · arXiv
We propose a novel clustering mechanism based on an incompatibility property between subsets of data that emerges during model training. This mechanism partitions the dataset into subsets that generalize only to themselves, i.e., training on one subset does not improve performance on the other subsets. Leveraging the interaction between the dataset and the training process, our clustering mechanism partitions datasets into clusters that are defined by--and therefore meaningful to--the objective of the training process. We apply our clustering mechanism to defend against data poisoning attacks,
Negative / Null Result ReportOpen accessPhysics
Fabien Robineau, Frédéric Boy, Jean-Pierre Orliaguet et al. · 2006 · arXiv
Performing minimal-invasive surgical punctures require guiding a needle toward an intracorporeal clinically-defined target. As this technique does not involve cutting the body open, a visualization system is employed to provide the surgeon with indirect visual spatial information about the intracorporeal positions of the tool. One may consider that such systems reduce the ergonomics of the situation as they generate a decorrelation between the actual movement of the needle and the displayed information about this movement. The present study aims at assessing the guidance of an intracorporeal p
Negative / Null Result ReportOpen accessComputer Science
Alexia Jolicoeur-Martineau · 2019 · arXiv
This paper provides a more rigorous look at Relativistic Generative Adversarial Networks (RGANs). We prove that the objective function of the discriminator is a statistical divergence for any concave function $f$ with minimal properties ($f(0)=0$, $f'(0) \neq 0$, $\sup_x f(x)>0$). We also devise a few variants of relativistic $f$-divergences. Wasserstein GAN was originally justified by the idea that the Wasserstein distance (WD) is most sensible because it is weak (i.e., it induces a weak topology). We show that the WD is weaker than $f$-divergences which are weaker than relativistic $f$-diver
Negative / Null Result ReportOpen accessComputer Science
Paul Röttger, Janet B. Pierrehumbert · 2021 · arXiv
Language use differs between domains and even within a domain, language use changes over time. For pre-trained language models like BERT, domain adaptation through continued pre-training has been shown to improve performance on in-domain downstream tasks. In this article, we investigate whether temporal adaptation can bring additional benefits. For this purpose, we introduce a corpus of social media comments sampled over three years. It contains unlabelled data for adaptation and evaluation on an upstream masked language modelling task as well as labelled data for fine-tuning and evaluation on
Negative / Null Result ReportOpen accessComputer Science
Mireille El-Assal, Pierre Tirilly, Ioan Marius Bilasco · 2023 · arXiv
Video analysis is a computer vision task that is useful for many applications like surveillance, human-machine interaction, and autonomous vehicles. Deep Convolutional Neural Networks (CNNs) are currently the state-of-the-art methods for video analysis. However they have high computational costs, and need a large amount of labeled data for training. In this paper, we use Convolutional Spiking Neural Networks (CSNNs) trained with the unsupervised Spike Timing-Dependent Plasticity (STDP) learning rule for action classification. These networks represent the information using asynchronous low-ener
Negative / Null Result ReportOpen accessComputer Science
Óscar García-Sierra, Ana Fernández-Pampillón Cesteros, Miguel Ortega-Martín · 2024 · arXiv
Subword tokenization algorithms used by Large Language Models are significantly more efficient and can independently build the necessary vocabulary of words and subwords without human intervention. However, those subwords do not always align with real morphemes, potentially impacting the models' performance, though it remains uncertain when this might occur. In previous research, we proposed a method to assess the morphological quality of vocabularies, focusing on the overlap between these vocabularies and the morphemes of a given language. Our evaluation method was built on three quality meas
Negative / Null Result ReportOpen accessNutrition. Foods and food supply
Kaijun Wang, Kaijun Wang, Jie Ma et al. · 2022 · Frontiers in Nutrition
Artemisia argyi leaf is a well-known species in traditional Chinese medicine, and its essential oil (AAEO) has been identified to exert various physiological activities. The aim of this study was to investigate the effects of AAEO on lipid metabolism and the potential microbial role in high-fat diet (HFD)-fed mice. A total of 50 male mice were assigned to five groups for feeding with a control diet (Con), a high-fat diet (HFD), and the HFD plus the low (LEO), medium (MEO), and high (HEO) doses of AAEO. The results demonstrated that dietary HFD markedly increased the body weight gain compared w
View details →DOI: 10.3389/fnut.2022.1024722 Negative / Null Result ReportOpen accessMedicine
Julie Labrosse, Marie Osdoit, Anne-Sophie Hamy et al. · 2020 · PLoS ONE
Although identified to be at a higher risk of relapse, no consensus exists on the treatment of breast cancer (BC) patients with no pathological complete response after neoadjuvant chemotherapy (NAC). The benefit of adjuvant chemotherapy (ADJ) in this context has scarcely been studied. We evaluated the benefit of administrating adjuvant chemotherapy in a real life cohort of BC patients with invasive residual disease after NAC. 1199 female BC patients with T1-3NxM0 invasive tumors receiving NAC at Institut Curie from 2002 to 2012 were included in the analysis. 1061 had been treated by NAC only,
View details →DOI: 10.1371/journal.pone.0234173 Negative / Null Result ReportOpen accessOrthopedic surgery
Yakup Ekinci, Mithat Oner, Ibrahim Karaman et al. · 2020 · Acta Orthopaedica et Traumatologica Turcica
Abstract Objective: The aim of this study was to compare simultaneous bilateral total knee arthroplasty (BTKA) and unilateral total knee arthroplasty (UTKA) in terms of morbidity, clinical and radiological findings and quality of life. Methods: The study included 48 simultaneous BTKAs (46 females, 2 males; mean age: 64.00±8.31 years) and 53 UTKAs (46 females, 7 males; mean age: 64.40±7.45 years) performed between November 2007 and June 2012. Groups were compared with respect to comorbidity, complications, blood transfusion, hospital stay, clinical and radiological (American Knee Society Score)
View details →DOI: 10.3944/aott.2014.3226 Negative / Null Result ReportOpen accessArctic medicine. Tropical medicine
Yuelin Xiong, Huatang Luo, Hao Wang et al. · 2026 · PLoS Neglected Tropical Diseases
Background Schistosomiasis, a neglected tropical disease (NTD), remains a public health concern in China. Health education is a fundamental intervention for its control. Even in transmission-interrupted areas like Wuhan, sustained awareness is crucial. However, recent literature on school-based interventions evaluating knowledge, attitudes and practices (KAP) among children in such areas is limited. Objective This study aimed to evaluate and compare the effectiveness of peer-led education versus routine health education in improving schistosomiasis-related KAP among elementary students in an u
View details →DOI: 10.1371/journal.pntd.0013857 Negative / Null Result ReportOpen accessMedicine (General)
A.G. Elsaid, N.M. Faheem · Brazilian Journal of Medical and Biological Research
Continuous industrial productivity and modern societies have resulted in excess artificial light. The altered circadian rhythm causes many diseases. During intrauterine life, the mother's maternal melatonin rhythm has a major role in influencing organ development. The aim of this study was to investigate the effect of maternal exposure to constant light on the structure and ultrastructure of neonatal skin. Twenty pregnant New Zealand rabbits were divided into two groups (n=10 each): control group (12-h light/dark) and constant light group (24-h light). Plasma maternal melatonin and corticoster
View details →DOI: 10.1590/1414-431x202010722 Negative / Null Result ReportOpen accessOrthopedic surgery
Ahmet Salduz, Fatih Dikici, Önder Ismet Kılıçoğlu et al. · 2017 · Journal of Orthopaedic Surgery
Purpose: The aim of our study is to investigate the bone ongrowth of two different alternative surfaces and the effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on osseointegration. Methods: Hips of 40 New Zealand white rabbits were operated bilaterally. Hydroxyapatite (HA)-coated titanium rods were implanted into the right femur, and grit-blasted titanium rods were implanted into the left femur. They were divided into three groups. At the end of 8 weeks, both femora of the rabbits were removed and investigated biomechanically and histologically. Results: HA-coated implants had a signif
View details →DOI: 10.1177/2309499016684410 Negative / Null Result ReportOpen accessMedicine
XUE Bing, XI Hualei, YAO Lihong, XU Wanqiu, XU Xiaohang, LIN Song, PIAO Guiyan, WANG Xiumei · 2025 · 口腔疾病防治
Objective To investigate the effect of neurite outgrowth inhibitor extracellular peptide residues 1-40 (NEP1-40) combined with poly (lactic-co-glycolic acid) (PLGA) and gelatin electrospun fiber membrane on facial nerve repair in rats. Methods According to the principle of random grouping, 108 male SD rats were divided into four groups ( n = 27 in each group, approved by the ethics committee), namely, the sham group, control group, PLGA group, and NEP1-40 + PLGA group. A facial nerve fracture model was established for all of the groups except for the sham group. The control group received no f
View details →DOI: 10.12016/j.issn.2096-1456.202440237 Negative / Null Result ReportOpen accessEcology
Mnqobi Mamba, Nicolas J. Fasel, Themb'alilahlwa A.M. Mahlaba et al. · 2019 · Global Ecology and Conservation
Conversion of native habitats into agricultural monocultures is a major cause of biodiversity loss favouring a small number of generalist species. Rodents can cause significant declines in crop yield, hence understanding the factors affecting their population dynamics is of importance to the agricultural sector. Sugarcane plantations in African savannas harbour a low diversity of small mammals, with a single genus (Mastomys spp.) often dominating the community. Our study investigated the factors that shape the composition of the small mammal community and the life-history traits of the dominan
View details →DOI: 10.1016/j.gecco.2019.e00752 Negative / Null Result ReportOpen accessAnesthesiology
Hasanul Arifin, Heru Kurniawan · 2016 · Jurnal Anestesi Perioperatif
Serum creatinine has many limitations when being used to diagnose acute kidney injury (AKI), especially in the scope of intensive care unit due to its low sensitivity to depict the kidney dysfunctional level of critically-ill patients. Out of numerous new available biological markers, four biological markers are widely used all over the world to detect AKI, e.g. neutrophil gelatinase-associated lipocalin (NGAL), cystatin C, KIM-1, and interleukin-18. The purpose of this study was to determine the sensitivity and specificity of serum cystatin C and creatinine in establishing the diagnosis of ac
View details →DOI: 10.15851/jap.v4n2.819 Negative / Null Result ReportOpen accessDiseases of the digestive system. Gastroenterology
Xiaotong Xu, Jinglan Jin, Yuwei Liu et al. · 2023 · BMC Gastroenterology
Abstract Background and aims To investigate the usefulness of interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), protein C (PC), and thromboelastography (TEG) to serve as a predictor of portal vein thrombosis (PVT) in patients with liver cirrhosis. Additionally, we examined the clinical significance of the above indicators in terms of disease progression. Methods A total of 123 patients with liver cirrhosis were recruited from May 2021 to December 2021, according to the imaging findings. They were divided into the PVT group (n = 52) and the non-PVT group (n = 71). Furthermore, patients
View details →DOI: 10.1186/s12876-022-02632-z Negative / Null Result ReportOpen accessNeoplasms. Tumors. Oncology. Including cancer and carcinogens
Dong-Yun Kim, Eonju Park, Chan Yeong Heo et al. · 2021 · Breast
Purpose: This study investigated whether hypofractionated adjuvant radiotherapy (RT) increased breast-related complication(s) compared to conventional fractionated RT in reconstructed breast cancer patients. Methods: We conducted a retrospective review including 349 breast cancer patients who underwent immediate breast reconstruction following mastectomy or breast-conserving surgery (BCS) between 2009 and 2018 at two institutions. All patients were treated with adjuvant RT via either a conventional fractionated or hypofractionated regimen. We defined a major breast complication as a breast-rel
View details →DOI: 10.1016/j.breast.2020.11.020 Negative / Null Result ReportOpen accessMedicine
Fatemeh Samiei Siboni, Zainab Alimoradi, Tahereh Sadegi · 2013 · مجله دانشگاه علوم پزشکی بیرجند
Background and Aim: Life style can cause stress and anxiety and consequently, hypertension. Regarding nurses' influencial role in implementing educational programs to increase patients’ self-control, the present research was designed to study the impact of a lifestyle promoting educational programs on controlling stress, anxiety, depression, and hypertewnsion in Qazvin Mino area in 2010. Materials and Methods: after the present study was a pre/post semi-experimental one conducted on 55 hypertensives. Living in Qazvin Minodar region. DAS (Depression, Anxiety, Stress)-21 general questionnaire an
Negative / Null Result ReportOpen accessMedicine (General)
Zhui-Feng Guo, Fan Yang, Xu-Wei Lu et al. · 2021 · Journal of International Medical Research
Objective To explore the significance of the prostate central gland to total gland volume ratio (PVc/PV) in the diagnosis of prostate cancer (PCa) in patients with prostate specific antigen (PSA) levels in the grey zone (4–10 ng/ml). Methods This retrospective study enrolled patients that had undergone prostate biopsy. The volume of the prostate and the central prostate gland were measured. The differences in PSA, the ratio of free to total PSA (f/tPSA), PSA density (PSAD) and PVc/PV between the PCa and non-PCa groups were compared. Receiver operating characteristic curve analysis for PCa and
View details →DOI: 10.1177/03000605211019879 Negative / Null Result ReportOpen accessDiseases of the digestive system. Gastroenterology
Mohamed Abdelkhalek, Ahmed Setit, Francesco Bianco et al. · 2018 · Annals of Coloproctology
Purpose Revolutions have occurred over the last 3 decades in the management of patients with colorectal cancer. Most advances were in rectal cancer surgery, especially after the introduction of the total mesorectal excision (TME) by Heald. However, no parallel advances regarding colon cancer surgeries have occurred. In 2009, Hohenberger introduced a new concept trying to translate the survival advantages of TME to patients with colon cancer. This relatively new concept of a complete mesocolic excision (CME) with central vascular ligation (CVL) in the management of patients with colon cancer re
View details →DOI: 10.3393/ac.2017.08.05 