Negative / Null Result ReportOpen accessComputer Science
Lennart Luettgau, Vanessa Cheung, Magda Dubois et al. · 2025 · arXiv
People increasingly seek personal advice from large language models (LLMs), yet whether humans follow their advice, and its consequences for their well-being, remains unknown. In a longitudinal randomised controlled trial with a representative UK sample (N = 6,474), we found that up to 79% of participants who had a 20-minute discussion with one of three AI chatbots (GPT-4o, LLama-3.3-70B, Gemini 3 Pro) about health, careers or relationships subsequently reported following its advice. Advice-following remained above 60% even for high-stakes recommendations, suggesting that users only weakly cal
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
Ruth Cohen, Lu Feng, Ayala Bloch et al. · 2026 · arXiv
While natural-language explanations from large language models (LLMs) are widely adopted to improve transparency and trust, their impact on objective human-AI team performance remains poorly understood. We identify a Persuasion Paradox: fluent explanations systematically increase user confidence and reliance on AI without reliably improving, and in some cases undermining, task accuracy. Across three controlled human-subject studies spanning abstract visual reasoning (RAVEN matrices) and deductive logical reasoning (LSAT problems), we disentangle the effects of AI predictions and explanations u
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 accessBusiness
Imam Sumardjoko · 2016 · Jurnal Ekonomi dan Bisnis Airlangga
The issue of inter-regional development imbalances and fiscal disparities into the current fiscal decentralization issues. The toughest challenge in building fiscal decentralization not only gives funds to local governments, but creating impact of improving the quality of public services and economic growth. Transfer to the area has increased every year. However, this increase has not been maximized to reduce poverty, equitable distribution of infrastructure, fiscal gap, and competitive regional economy. Research funds for fiscal decentralization in some countries have done long before the imp
View details →DOI: 10.20473/jeba.v26i12016.24-35 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
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 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 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 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 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
Amin Ebneshahidi, Mojtaba Akbari, Masood Mohseni · 2013 · Advanced Biomedical Research
Introduction: Haloperidol has an established role in nausea and vomiting prophylaxis and possible effects on multiple aspects of postoperative recovery including pain and sedation. The purpose of this study was to evaluate the effects of low-dose intraoperative intravenous haloperidol on quality of recovery (QoR) and pain control after general anesthesia and surgery. Methods: Ninety eight American Society of Anesthesiologists (ASA) physical status I-II patients undergoing elective general, gynecologic or orthopedic surgery under general anesthesia were enrolled. Participants were randomly allo
View details →DOI: 10.4103/2277-9175.122501 Negative / Null Result ReportOpen accessAnesthesiology
Nitika Vyas, Dinesh K Sahu, Reena Parampill · 2010 · Journal of Anaesthesiology Clinical Pharmacology
Background: Sufentanil added to intrathecal bupivacaine for cesarean section has shown to improve intraoperative and postoperative analgesia with no adverse effects on the mother and neonate. We compared the effects of intrathecal sufentanil 5 mcg and placebo when administered with hyperbaric bupivacaine 0.5% 11 mg for cesarean section. Patients and Methods: Sixty parturients of ASA grading I and II of age between 18 to 45 years scheduled for elective cesarean section under subarachnoid block were randomly allocated into one of the two groups to receive 5μg sufentanil + 0.2ml sterile, preserva
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 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 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 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 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 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 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 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 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
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 accessAgriculture
Óscar Chichongue, Johan J. van Tol, Gert M. Ceronio et al. · 2022 · Agronomy
Sub-Saharan Africa (SSA) agriculture is characterized by dependence on erratic rainfall, inadequate conservation practices, and a decline in soil fertility resulting in low crop productivity. Therefore, conservation agriculture (CA) has been proposed as an alternative to improve soil fertility and productivity. Hence the aim was to investigate the effects of tillage systems, fertilization, and cropping patterns on selected soil chemical properties (pH, organic carbon, total nitrogen, extractable phosphorus, exchangeable cations, and cation exchange capacity) and identify which cropping pattern
View details →DOI: 10.3390/agronomy12071534 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 accessEducation (General)
Rahmah Johar, Rahmah Johar, M. Ikhsan et al. · 2025 · Frontiers in Education
Mathematical communication skills are essential for helping students grasp mathematical concepts. Fostering students’ knowledge of Islamic values can also encourage them to relate mathematical topics to real-world situations, particularly in worship, enhancing their mathematical communication. Therefore, an innovative teaching approach is crucial to improving students’ mathematical communication and understanding of Islamic values. This study investigates the integration of these concepts within mathematics through the contextualized framework of Qurban. The study explores how an interactive w
View details →DOI: 10.3389/feduc.2025.1633056 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 accessMedical physics. Medical radiology. Nuclear medicine
Armin D. Tavakkoli, BA, Megan A. Clark, BE, Alireza Kheirollah, PhD et al. · 2024 · Advances in Radiation Oncology
Purpose: Ultra High Dose-Rate (UHDR) radiation has been reported to spare normal tissue, compared with Conventional Dose-Rate (CDR) radiation. However, important work remains to be done to improve the reproducibility of the FLASH effect. A better understanding of the biologic factors that modulate the FLASH effect may shed light on the mechanism of FLASH sparing. Here, we evaluated whether sex and/or the use of 100% oxygen as a carrier gas during irradiation contribute to the variability of the FLASH effect. Methods and Materials: C57BL/6 mice (24 male, 24 female) were anesthetized using isofl
View details →DOI: 10.1016/j.adro.2024.101492 Negative / Null Result ReportOpen accessGeriatrics
Inderpal Singh, Chris Edwards, Anser Anwar · 2018 · Geriatrics
Single-room ward design has previously been associated with increased risk of inpatient falls and adverse outcomes. However, following quality initiatives, the incidence of inpatient falls has shown a sustained reduction. Benefits have also been observed in the reduction of hip fractures. However, one-year mortality trends have not been reported. The aim of this observational study is to report the trends in one-year mortality rates before and after implementing quality-improvement initiatives to prevent inpatient falls over the last 5 years (2012–2016). This retrospective observational study
View details →DOI: 10.3390/geriatrics3010009 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
