Negative / Null Result ReportOpen accessComputer Science
Aaron B. Wagner, Nirmal V. Shende, Yücel Altuğ · 2019 · arXiv
We introduce a novel mechanism, called timid/bold coding, by which feedback can be used to improve coding performance. For a certain class of DMCs, called compound-dispersion channels, we show that timid/bold coding allows for an improved second-order coding rate compared with coding without feedback. For DMCs that are not compound dispersion, we show that feedback does not improve the second-order coding rate. Thus we completely determine the class of DMCs for which feedback improves the second-order coding rate. An upper bound on the second-order coding rate is provided for compound-dispersi
Negative / Null Result ReportOpen accessComputer Science
Amanpreet Singh, Mike D'Arcy, Arman Cohan et al. · 2022 · arXiv
Learned representations of scientific documents can serve as valuable input features for downstream tasks without further fine-tuning. However, existing benchmarks for evaluating these representations fail to capture the diversity of relevant tasks. In response, we introduce SciRepEval, the first comprehensive benchmark for training and evaluating scientific document representations. It includes 24 challenging and realistic tasks, 8 of which are new, across four formats: classification, regression, ranking and search. We then use this benchmark to study and improve the generalization ability o
Negative / Null Result ReportOpen accessComputer Science
Chunliang Li, Tianze Cao, Sanyuan Zhao · 2026 · arXiv
Visual Autoregressive (VAR) modeling inefficiently applies a fixed computational depth to each position when generating high-resolution images. While existing methods accelerate inference by pruning tokens using frequency maps, their binary hard-pruning approach is fundamentally limited and fails to improve quality even with better frequency estimation. Observing that VAR models possess significant depth redundancy, we propose a paradigm shift from pruning entire tokens to adaptively allocating per-token computational depth. To this end, we introduce DepthVAR, a training-free framework that dy
Negative / Null Result ReportOpen accessPublic aspects of medicine
Rob Horne, Caroline Sabin, Trudie Chalder et al. · 2025 · Programme Grants for Applied Research
Background Antiretroviral therapy has transformed human immunodeficiency virus infection intoa chronic condition associated with normal life expectancy. In the United Kingdom, the uptake of antiretroviral therapy is generally high, but a delay in starting antiretroviral therapy and non-adherence compromise the health and well-being of people living with human immunodeficiency virus, increase the risk of transmission of human immunodeficiency virus and increase National Health Service costs. Objectives The overall aim was to improve antiretroviral therapy uptake and adherence by addressing perc
View details →DOI: 10.3310/kppw8401 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Denis Boyer, Peter D. Walsh · 2010 · arXiv
Thanks to recent technological advances, it is now possible to track with an unprecedented precision and for long periods of time the movement patterns of many living organisms in their habitat. The increasing amount of data available on single trajectories offers the possibility of understanding how animals move and of testing basic movement models. Random walks have long represented the main description for micro-organisms and have also been useful to understand the foraging behaviour of large animals. Nevertheless, most vertebrates, in particular humans and other primates, rely on sophistic
Negative / Null Result ReportOpen accessMedicine
Galiya Iskakova, Bauyrzhan Iztayev, Auyelbek Iztayev et al. · 2025 · Scientific Reports
Abstract The quality of food products and a balanced diet play a key role in maintaining health and improving the quality of life. Due to the high popularity of pasta, a promising direction is the development of recipes that include whole grain flour, carrot powder and ion-ozonated water, which increase the nutritional value of the product and improve its chemical composition. The aim of this study was to optimise the technological modes of production of durum wheat pasta using carrot powder and ion-ozonated water to minimise the loss of dry matter (DM) during cooking and increase the protein
View details →DOI: 10.1038/s41598-025-28027-0 Negative / Null Result ReportOpen accessBusiness
Ivan Ramos, Lilik Noor Yuliati, Megawati Simanjuntak · 2022 · Jurnal Aplikasi Bisnis dan Manajemen
Advancement in sophisticated information technology can be used for innovation in access to public services. In this study, the public service studied was the Online Passport Queue Registration Application (APAPO) at the Class I Non-TPI Bogor Immigration Office. This study aims to analyze the effect of system quality, information quality, service quality, user characteristics, usage rate, user satisfaction on net benefits APAPO using DeLone and McLean and find out the priority factors for improvement using the Important-Performance Analysis (IPA) method. The sampling technique used was conveni
View details →DOI: 10.17358/jabm.8.1.33 Negative / Null Result ReportOpen accessBusiness
Dewa Nyoman Benni Kusyana, Putu Sri Hartati, Ida Ayu Widani Sugianingrat et al. · 2024 · Jurnal Ekonomi dan Bisnis
This research was conducted to determine the influence of organizational culture on business performance, mediated by innovation and moderated by catur purusa artha. The subjects of this research were the cooperative heads or managers of 503 cooperative units in Denpasar City. The Yamane formula was used to determine the sample size, which was determined to be 83 cooperative heads/managers using a proportionate random sampling technique. Data analysis was carried out using structural equation modelling – partial least squares (SEM-PLS). Data analysis using PLS was carried out with two measurem
View details →DOI: 10.24914/jeb.v27i2.10287 Negative / Null Result ReportOpen accessComputer Science
Adam Byerly, Daniel Khashabi · 2024 · arXiv
Self-consistency (SC) improves the performance of large language models (LLMs) across various tasks and domains that involve short content. However, does this support its effectiveness for long-context problems? We challenge the assumption that SC's benefits generalize to long-context settings, where LLMs often struggle with position bias, the systematic over-reliance on specific context regions-which hinders their ability to utilize information effectively from all parts of their context. Through comprehensive experimentation with varying state-of-the-art models, tasks, and SC formulations, w
Negative / Null Result ReportOpen accessMedicine (General)
Mohamed Ibrahim Fathallah Abdelhay, Mohamed Hussein Elgendy, Yasser Ramzy Lasheen · 2017 · International Journal of Physiotherapy
Background: Postural hypnosis can lead to cervical pain or bad cosmetic appearance.There is a lack in the literature supporting the efficacy of spinal mobilization techniques in restoring normal thoracic curvature.Mulligan and Maitland's mobilization were used to improve range of motion and referred pain not to restore normal kyphotic angle. The purpose: this study was conducted to compare the efficacy of Mulligan and Maitland spinal mobilization on a kyphotic angle in postural kyphosis. Subjects: seventy-five male subjects with postural kyphosis their age (17-21) years were included in the st
View details →DOI: 10.15621/ijphy/2017/v4i3/149069 Negative / Null Result ReportOpen accessComputer Science
Fırat Öncel, Matthias Bethge, Beyza Ermis et al. · 2024 · arXiv
In the last decade, the generalization and adaptation abilities of deep learning models were typically evaluated on fixed training and test distributions. Contrary to traditional deep learning, large language models (LLMs) are (i) even more overparameterized, (ii) trained on unlabeled text corpora curated from the Internet with minimal human intervention, and (iii) trained in an online fashion. These stark contrasts prevent researchers from transferring lessons learned on model generalization and adaptation in deep learning contexts to LLMs. To this end, our short paper introduces empirical ob
Negative / Null Result ReportOpen accessMathematics
Ange Wang, Hongzhi Guan, Yan Han et al. · 2021 · Discrete Dynamics in Nature and Society
The shared parking scheme improves the utilization rate of existing parking resources and contributes to the sustainable development of cities, but many private parking spaces that are not included in the shared parking scheme have a low utilization rate in China. In order to better promote the shared parking scheme, it is necessary to study the intention of the owners of private parking spaces to share their parking spaces. Therefore, this paper used the Unified Theory of Acceptance and Use of Technology (UTAUT) and Benefit-Risk Analysis Model (BRA) as the combined theoretical framework (C-UT
View details →DOI: 10.1155/2021/9283686 Negative / Null Result ReportOpen accessComputer Science
Piyawat Lertvittayakumjorn, David Kinney, Vinodkumar Prabhakaran et al. · 2025 · arXiv
Generative large language models (LLMs) have demonstrated gaps in diverse cultural awareness across the globe. We investigate the effect of retrieval augmented generation and search-grounding techniques on LLMs' ability to display familiarity with various national cultures. Specifically, we compare the performance of standard LLMs, LLMs augmented with retrievals from a bespoke knowledge base (i.e., KB grounding), and LLMs augmented with retrievals from a web search (i.e., search grounding) on multiple cultural awareness benchmarks. We find that search grounding significantly improves the LLM p
Negative / Null Result ReportOpen accessPublic aspects of medicine
Chabot Isabelle, Potvin Louise, Moisan Jocelyne et al. · 2006 · BMC Health Services Research
Abstract Background Drug utilization review (DUR) programs are being conducted in Canadian hospitals with the aim of improving the appropriateness of prescriptions. However, there is little evidence of their effectiveness. The objective of this study was to assess the impact of both a retrospective and a concurrent DUR programs on the quality of in-hospital prescribing. Methods We conducted an interrupted time series quasi-experimental study. Using explicit criteria for quality of prescribing, the natural history of cisapride prescription was established retrospectively in three university-aff
View details →DOI: 10.1186/1472-6963-6-33 Negative / Null Result ReportOpen accessAgriculture
Haixing Zhang, Wei Shi, Shahzad Ali et al. · 2022 · Agronomy
Legume/maize intercropping has been practiced in many countries as a sustainable cropping system, but the effects of intercropping legumes with maize together with N application rates on biomass yield, quality, water-use efficiency (WUE), and nitrogen use efficiency (NUE) are limited under arid conditions in Northwest China. Field experiments were carried out in arid areas of Northwest China from 2019 to 2020 with three planting patterns (LM: Dolichos lablab ( Lablab purpureus L.)/silage maize ( Zea mays L.) intercropping; FM: Fodder soybean ( Glycine max L.)/silage maize intercropping; M: sil
View details →DOI: 10.3390/agronomy12081777 Negative / Null Result ReportOpen accessTherapeutics. Pharmacology
Tanja Elnaz Hassanzadeh, Tanja Elnaz Hassanzadeh, Carina Hohmann et al. · 2024 · Frontiers in Pharmacology
Polypharmacy is common among patients with antithrombotic medication, giving rise to concerns about Drug-Related Problems (DRPs). Therefore, these patients would benefit from a Medication Review (MR) along with pharmacist counselling to reduce the risks accompanying polymedication. This prospective study presents a concept for MRs that are applicable in German community pharmacies and can efficiently support pharmacist counselling and improve the safety of drug therapy. As this is a major challenge in everyday pharmacy practice, we used a Decision Support System (DSS) to evaluate its ability t
View details →DOI: 10.3389/fphar.2024.1194201 Failed Experiment ReportOpen accessComputer Science
Zixian Huang, Kaichen Yang, Xu Huang et al. · 2026 · arXiv
A widely adopted strategy for model enhancement is to use synthetic data generated by a stronger model for supervised fine-tuning (SFT). However, for emerging reasoning models like Qwen3-8B, this approach often fails to improve reasoning capabilities and can even lead to a substantial drop in performance. In this work, we identify substantial stylistic divergence between teacher generated data and the distribution of student as a major factor impacting SFT. To bridge this gap, we propose a Teacher-Student Cooperation Data Synthesis framework (TESSY), which interleaves teacher and student model
Negative / Null Result ReportOpen accessComputer Science
Saikat Mondal, Chanchal K. Roy · 2025 · arXiv
High-quality answers in technical Q&A platforms like Stack Overflow (SO) are crucial as they directly influence software development practices. Poor-quality answers can introduce inefficiencies, bugs, and security vulnerabilities, and thus increase maintenance costs and technical debt in production software. To improve content quality, SO allows collaborative editing, where users revise answers to enhance clarity, correctness, and formatting. Several studies have examined rejected edits and identified the causes of rejection. However, prior research has not systematically assessed whether acce
Negative / Null Result ReportOpen accessComputer Science
Hongyu Zhou, Yinan Zhang, Aixin Sun et al. · 2025 · arXiv
Multimodal recommendation systems are increasingly popular for their potential to improve performance by integrating diverse data types. However, the actual benefits of this integration remain unclear, raising questions about when and how it truly enhances recommendations. In this paper, we propose a structured evaluation framework to systematically assess multimodal recommendations across four dimensions: Comparative Efficiency, Recommendation Tasks, Recommendation Stages, and Multimodal Data Integration. We benchmark a set of reproducible multimodal models against strong traditional baseline
Negative / Null Result ReportOpen accessMedicine
Sayed Reza Eshaghi, Armindokht Shahsanai, Maryam Mellat Ardakani · 2011 · مجله دانشکده پزشکی اصفهان
Background: Improvement of medical care and decreasing of mortality, have lead to an increase in ageing in Iranian population. The main goal of Active ageing is improving the quality of life. Physical activity is one of the factors that is important to achieve a good quality of life. The aim of this study was to evaluate the physical activity of the elderly in Isfahan. Methods: This cross sectional study was carried out on 350 old residents of Isfahan, Iran between the years 2009-2010. Multi stage cluster sampling technique was used to collect the sample population. Rapid assessment of physica
Negative / Null Result ReportOpen accessEngineering
Haoyang Li, Yuchen Hu, Chen Chen et al. · 2024 · arXiv
Deep neural network (DNN)-based speech enhancement (SE) usually uses conventional activation functions, which lack the expressiveness to capture complex multiscale structures needed for high-fidelity SE. Group-Rational KAN (GR-KAN), a variant of Kolmogorov-Arnold Networks (KAN), retains KAN's expressiveness while improving scalability on complex tasks. We adapt GR-KAN to existing DNN-based SE by replacing dense layers with GR-KAN layers in the time-frequency (T-F) domain MP-SENet and adapting GR-KAN's activations into the 1D CNN layers in the time-domain Demucs. Results on Voicebank-DEMAND sho
Negative / Null Result ReportOpen accessComputer Science
Àlex Miranda-Pascual, Javier Parra-Arnau, Thorsten Strufe · 2026 · arXiv
Sampling is renowned for its privacy amplification in differential privacy (DP), and is often assumed to improve the utility of a DP mechanism by allowing a noise reduction. In this paper, we further show that this last assumption is flawed: When measuring utility at equal privacy levels, sampling as preprocessing consistently yields penalties due to utility loss from omitting records over all canonical DP mechanisms -- Laplace, Gaussian, exponential, and report noisy max -- , as well as recent applications of sampling, such as clustering. Extending this analysis, we investigate suppression as
Negative / Null Result ReportOpen accessComputer Science
Hanbing Liu, Haoyang Li, Xiaokang Zhang et al. · 2025 · arXiv
Direct Preference Optimization (DPO) has proven effective in complex reasoning tasks like math word problems and code generation. However, when applied to Text-to-SQL datasets, it often fails to improve performance and can even degrade it. Our investigation reveals the root cause: unlike math and code tasks, which naturally integrate Chain-of-Thought (CoT) reasoning with DPO, Text-to-SQL datasets typically include only final answers (gold SQL queries) without detailed CoT solutions. By augmenting Text-to-SQL datasets with synthetic CoT solutions, we achieve, for the first time, consistent and
Negative / Null Result ReportOpen accessEconomic growth, development, planning
Adhisty Mohammad Khariza, Arintoko Arintoko, Suprapto Suprapto · 2020 · Eko-Regional
Small-medium enterprises (SMEs) are the main pillar of the Indonesian economy. Based on 2016’s Economic Census, most businesses in Indonesia are SMEs, while SMEs absorb the majority of the workforce. The empowerment of SMEs is one way to improve the economy. To empower the SMEs sector, the Indonesian government launched the Kredit Usaha Rakyat (KUR) since 2007. The lasts policy is the provision of the mild interest rate for KUR since 2016. The hope is that with a mild interest rate, SMEs can get affordable financing access so they can be the driving force of the economy. However, credit demand
View details →DOI: 10.20884/1.erjpe.2020.15.2.1582 Negative / Null Result ReportOpen accessMathematics
Oliver J. Hines, Christian L. Hines · 2026 · arXiv
Gradient boosted decision trees require a stopping rule to avoid overfitting. The standard rule monitors a validation loss and stops if the loss fails to improve for a fixed patience period. However, the patience parameter has no interpretable scale and validation losses can be noisy or implicitly defined by a user-specified gradient. We propose ScoreStop, a gradient-based early-stopping rule that casts the stopping decision at each iteration as a test of the null hypothesis that the current predictor is the population risk minimizer. We use a functional score test, computed on validation data
Negative / Null Result ReportOpen accessBusiness
Rina Trisnawati, Nono Wibisono · 2022 · Jurnal Bisnis dan Kewirausahaan
Sumedang Regency is an area that has various types of tourist attractions but tourist visits to Sumedang fluctuate every year. One of the attractions in Sumedang is Kampung Karuhun which still needs improvement in several aspects. This study aims to identify the influence of the relationship of service quality, tourism product availability, destination image, consumer satisfaction and destination loyalty in Kampung Karuhun Sumedang. The research method used is a quantitative approach using a survey tool in the form of a questionnaire. This study collected data as many as 355 respondents. The a
View details →DOI: 10.31940/jbk.v18i3.238-247 Negative / Null Result ReportOpen accessPhysics
Martin Amft, Natalia V. Skorodumova · 2011 · arXiv
The present density functional theory study addresses the question whether the presence of H2O influences the catalytic activity of small gold clusters, Au1-4/MgO(100), towards the oxidation of carbon monoxide. To this end, we studied the (co-)adsorption of H2O and CO/O2 on these gold clusters. The ground state structures in the presence of all three molecular species, that we found, are Au1O2/MgO and Au2-4CO/MgO with H2O adsorbed on the surface in the proximity of the clusters-molecule complex. In this configuration the catalytic activity of Au1-4/MgO is indifferent to the presence of H2O. We
Negative / Null Result ReportOpen accessMedicine
Sirous Nazari pirdoosti, Vahid Valipour dehnou, Ehsan Gharamanlou · 2019 · Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām
Introduction: Transcranial direct current stimulation (tDCS) is a non-invasive technique used to modify the activity of the cortex of the brain. This form of current is capable of inducing changes in the electrical activity inside and outside of the neurons, which leads to a change in the resting membrane potential and thus improves the efficiency of the neural synapse. Therefore, the aim of this study was to investigate the effect of tDCS over motor cortex on strength and endurance performance of healthy collegiate subjects. Materials & Methods: In total, 10 young and healthy male subjects (a
Negative / Null Result ReportOpen accessComputer Science
Zelu Deng, Yujie Zhong, Sheng Guo et al. · 2021 · arXiv
This work aims at improving instance retrieval with self-supervision. We find that fine-tuning using the recently developed self-supervised (SSL) learning methods, such as SimCLR and MoCo, fails to improve the performance of instance retrieval. In this work, we identify that the learnt representations for instance retrieval should be invariant to large variations in viewpoint and background etc., whereas self-augmented positives applied by the current SSL methods can not provide strong enough signals for learning robust instance-level representations. To overcome this problem, we propose InsCL
Negative / Null Result ReportOpen accessComputer Science
Arijit Sehanobish, Charles Lovering · 2026 · arXiv
We study the \textit{parameter placement problem}: given a fixed budget of $k$ trainable entries within the B matrix of a LoRA adapter (A frozen), does the choice of which $k$ matter? Under supervised fine-tuning, random and informed subsets achieve comparable performance. Under GRPO on base models, random placement fails to improve over the base model, while gradient-informed placement recovers standard LoRA accuracy. This regime dependence traces to gradient structure: SFT gradients are low-rank and directionally stable, so any subset accumulates coherent updates; GRPO gradients are high-ran
