Negative / Null Result Report
Kaixun Hu, Yajing Huang, Huisheng Ai et al. · 2015 · Blood
Abstract Acute myeloid leukemia (AML) of older patients is an aggressive malignancy. Despite decitabine is performed some clinic trials in these patients, however there is little data on efficacy and is more controversial on it. Recent…
View details →DOI: 10.1182/blood.v126.23.1318.1318 Negative / Null Result Report
Yousuke Nakai, Hiroyuki Isayama, Kazunaga Ishigaki et al. · 2016 · Journal of Clinical Oncology
293 Background: We previously reported the introduction of S-1 improved overall survival (OS) in advanced pancreatic cancer (PC), but in a pooled analysis of 3 RCTs, a combination of gemcitabine and S-1 (GS) improved OS in locally advanced…
View details →DOI: 10.1200/jco.2016.34.4_suppl.293 Negative / Null Result Report
John G. Skedros, Tanner R. Henrie, Chad S. Mears · 2014 · Case Reports in Orthopedics
Although interposition soft-tissue (biologic) resurfacing of the glenoid with humeral hemiarthroplasty has been considered an option for end-stage glenohumeral arthritis, the results of this procedure are highly unsatisfactory in patients…
View details →DOI: 10.1155/2014/517801 Negative / Null Result Report
Zeeshan M. Akhtar, Emily R. Hunt, Brooks N. Platt et al. · 2021 · The Journal of Hip Surgery
Abstract Doxycycline has been shown to reduce fibroblast activity in the treatment of multiple pathologies, and was utilized as part of the postoperative medication protocol to help prevent adhesions from developing after hip arthroscopy.…
View details →DOI: 10.1055/s-0041-1739456 Negative / Null Result Report
Abdullahi Abubakar, Boniface Denis Umoh · 2023 · Caleb International Journal of Development Studies
Many employees are merely holding on to their current jobs for lack of alternatives. Such staff members are no longer deriving satisfaction from their current jobs. Lack of satisfaction impinges on workers productivity and attitude to work…
View details →DOI: 10.26772/cijds-2023-06-01-06 Negative / Null Result Report
B Gu, J Chetwood, A Pudipeddi et al. · 2026 · Journal of Crohn’s and Colitis
Abstract Background Emerging evidence suggests early initiation of advanced therapies (AT) may improve outcomes, but optimal timing remains unclear. We aimed to assess the impact of AT timing on persistence. Methods We interrogated the…
View details →DOI: 10.1093/ecco-jcc/jjaf231.784 Negative / Null Result Report
Taíse Toniazzo, Rafael de Almeida Azevedo, Tamires Nunes Oliveira et al. · 2025 · International Journal of Sport Nutrition and Exercise Metabolism
Sports supplements composed of carbohydrate and protein are widely used by endurance athletes and recreational practitioners, mostly aimed at improving performance. This study investigated the effect of a novel carbohydrate + protein honey…
View details →DOI: 10.1123/ijsnem.2025-0021 Negative / Null Result Report
Ching-Tai Huang, Avijit Dutta, Tse-Ching Chen et al. · 2016 · The Journal of Immunology
Abstract The host immune system responds to influenza virus infection for eradication of the virus but the immune response associated inflammation causes tissue injury and damage to the host as well. Severe influenza with morbidity and…
View details →DOI: 10.4049/jimmunol.196.supp.76.21 Negative / Null Result Report
Vitalii Yasenenko · 2025 · Technologies and Engineering
Growing cyber threats in the context of digital transformation require improved methods of automating cyber defence, in particular, through the use of artificial intelligence to detect and respond to attacks. The purpose of the study was…
View details →DOI: 10.30857/2786-5371.2025.3.7 Negative / Null Result Report
Ray Stefani · 2012 · Significance
Abstract The 1988 Olympics were followed by anti-doping measures. Performances then diminished. Ray Stefani examines the rate of improvement in various events to see whether clean athletes can overcome the barriers set by suspect records…
View details →DOI: 10.1111/j.1740-9713.2012.00551.x Negative / Null Result Report
Francis Lali, Kay Raftery, Hannah Levy et al. · 2026 · Spine
Study Design. Finite element (FE) analysis of retrospective clinical cohort. Objective. To determine whether preoperative CT-derived FE model outputs can improve subsidence prediction compared to conventional clinical measurements alone in…
View details →DOI: 10.1097/brs.0000000000005698 Negative / Null Result Report
Bahadır Kartal, Mehmet Berksun Tutan, Fatih Şahin et al. · 2024 · Hitit Medical Journal
Objective: Gastric cancer surgery, including curative and palliative procedures, is crucial for managing gastric cancer. Accurate assessment of nutritional status is essential for risk stratification and improving patient outcomes. This…
View details →DOI: 10.52827/hititmedj.1516777 Negative / Null Result Report
Ainun Oktavia Sari, Rahayu Sulistyowati, Ita Prihantika · 2020 · Administrativa: Jurnal Birokrasi, Kebijakan dan Pelayanan Publik
The Conditional Cash Transfer (CCT) is a conditional social cash transfer program that provides assistance to Very Poor Households (RTSM) appointed as participants in the Conditional Cash Transfer program which is related to improving the…
View details →DOI: 10.23960/administrativa.v2i3.51 Negative / Null Result Report
Mary Cushman, Suzanne E Judd, Virginia J Howard et al. · 2011 · Circulation
Background. The AHA 2020 Goal includes improving cardiovascular health, defined using a metric consisting of 7 health factors, Life's Simple 7. A central concept of the goal is that small improvements in behavior / lifestyle factors at the…
View details →DOI: 10.1161/circ.124.suppl_21.a17917 Negative / Null Result Report
Muhammad Dawood Mian, Saadullah Jan Khan, Rehana Rani et al. · 2026 · Access Microbiology
Rapid and reliable identification of bacteria is essential in clinical and environmental microbiology. Gram staining remains a widely used method for preliminary classification; however, it may require additional steps and can be difficult…
View details →DOI: 10.1099/acmi.0.000965.v3 Negative / Null Result Report
M Erickson, N Tomassoni, R Sun et al. · 2026 · Europace
Abstract Background/Introduction Bachmann bundle pacing (BBP) has emerged as a favorable alternative to traditional right atrial appendage (RAA) pacing, offering benefits such as reduced atrial fibrillation and improved diastolic function.…
View details →DOI: 10.1093/europace/euag105.733 Negative / Null Result Report
Rebecca L Rivera, Melissa K Maulding, Angela R Abbott et al. · 2016 · The FASEB Journal
Objective To determine the relationship of rural and urban county household status to long‐term food security among households with children in Indiana after a Supplemental Nutrition Assistance Program‐Education (SNAP‐Ed) intervention.…
View details →DOI: 10.1096/fasebj.30.1_supplement.674.26 Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Mohammad Hassan Shakil, Arne Johan Pollestad, Khine Kyaw et al. · 2025 · arXiv
With European Union initiatives mandating gender quotas on corporate boards, a key question arises: Is greater board gender diversity (BGD) associated with better emissions performance (EP)? To answer this question, we examine the influence of BGD on EP across a sample of European firms from 2016 to 2022. Using panel regressions, advanced machine learning algorithms, and explainable AI, we reveal a non-linear relationship. Specifically, EP improves with BGD up to an optimal level of approximately 35 %, beyond which further increases in BGD yield no additional improvement in EP. A minimum BGD t
Negative / Null Result ReportOpen accessComputer Science
Lennart Meincke, Ethan Mollick, Lilach Mollick et al. · 2025 · arXiv
This is the third in a series of short reports that seek to help business, education, and policy leaders understand the technical details of working with AI through rigorous testing. In this report, we investigate two commonly held prompting beliefs: a) offering to tip the AI model and b) threatening the AI model. Tipping was a commonly shared tactic for improving AI performance and threats have been endorsed by Google Founder Sergey Brin (All-In, May 2025, 8:20) who observed that 'models tend to do better if you threaten them,' a claim we subject to empirical testing here. We evaluate model p
Negative / Null Result ReportMedicine
Okada, Tominaga, Iwakura et al. · 2026 · Resuscitation
Out-of-hospital cardiac arrest (OHCA) is a public health concern. Whether conventional cardiopulmonary resuscitation (CPR) with rescue breathing may improve outcomes compared with compression-only or no CPR in suffocation-related OHCA is…
View details →DOI: 10.1016/j.resuscitation.2026.111189 Negative / Null Result ReportOpen accessComputer Science
Rylan Malarchick · 2026 · arXiv
We present an analysis of quantum circuit fidelity across the full compilation stack, from high-level gate optimization through pulse-level control. We connect a C++ circuit optimizer to a per-gate Lindblad master-equation fidelity model whose decoherence channels are cross-validated against qiskit-dynamics and whose absolute predictions are benchmarked against execution on real hardware. Across a campaign of 4,452 experiment runs over 371 benchmark circuits, gate cancellation provides the dominant improvement ($d = 1.66$, 72% of circuits improved), while circuit size and pulse duration are th
Negative / Null Result ReportOpen accessComputer Science
Song Tae-Eun · 2026 · arXiv
Cross-Context Review (CCR) improves LLM verification by separating production and review into independent sessions. A natural extension is multi-turn review: letting the reviewer ask follow-up questions, receive author responses, and review again. We call this Dynamic Cross-Context Review (D-CCR). In a controlled experiment with 30 artifacts and 150 injected errors, we tested four D-CCR variants against the single-pass CCR baseline. Single-pass CCR (F1 = 0.376) significantly outperformed all multi-turn variants, including D-CCR-2b with question-and-answer exchange (F1 = 0.303, $p < 0.001$, $d
Negative / Null Result ReportOpen accessComputer Science
Marco Cognetta, Tatsuya Hiraoka, Naoaki Okazaki et al. · 2024 · arXiv
We explore threshold vocabulary trimming in Byte-Pair Encoding subword tokenization, a postprocessing step that replaces rare subwords with their component subwords. The technique is available in popular tokenization libraries but has not been subjected to rigorous scientific scrutiny. While the removal of rare subwords is suggested as best practice in machine translation implementations, both as a means to reduce model size and for improving model performance through robustness, our experiments indicate that, across a large space of hyperparameter settings, vocabulary trimming fails to improv
Negative / Null Result ReportOpen accessComputer Science
Janarthanan Rajendran, Jonathan K. Kummerfeld, Satinder Singh · 2021 · arXiv
For each goal-oriented dialog task of interest, large amounts of data need to be collected for end-to-end learning of a neural dialog system. Collecting that data is a costly and time-consuming process. Instead, we show that we can use only a small amount of data, supplemented with data from a related dialog task. Naively learning from related data fails to improve performance as the related data can be inconsistent with the target task. We describe a meta-learning based method that selectively learns from the related dialog task data. Our approach leads to significant accuracy improvements in
Negative / Null Result ReportOpen accessComputer Science
Dhruvi Khandelwal, Anurag Basistha, Ayushi Jolotia et al. · 2026 · arXiv
Deep learning proxies for Alternating Current Optimal Power Flow (ACOPF) lack systematic methods for determining architectural size. This paper conducts a constructive thought experiment to answer a fundamental inquiry: how wide must a neural network be to almost accurately approximate the ACOPF manifold? We introduce a Loss-Guided Neural Densification (LG-ND) algorithm that incrementally discovers necessary capacity by expanding only when the current deep neural network topology fails to improve further. Empirical results across various IEEE systems show that LG-ND achieves performance parity
Negative / Null Result ReportOpen accessComputer Science
Runzhe Zhan, Xuebo Liu, Derek F. Wong et al. · 2021 · arXiv
Meta-learning has been sufficiently validated to be beneficial for low-resource neural machine translation (NMT). However, we find that meta-trained NMT fails to improve the translation performance of the domain unseen at the meta-training stage. In this paper, we aim to alleviate this issue by proposing a novel meta-curriculum learning for domain adaptation in NMT. During meta-training, the NMT first learns the similar curricula from each domain to avoid falling into a bad local optimum early, and finally learns the curricula of individualities to improve the model robustness for learning dom
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
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 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 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
