Negative / Null Result ReportOpen accessFinance
Mohamad Mondir, Siti Habibatur Rahma · 2024 · Review of Islamic Social Finance and Entrepreneurship
Purpose – The purpose of this research is to analyze and examines the effect of Islamic marketing mix, service quality and product quality towards BMT NU Jawa Timur’s customer loyalty with perceived value as mediating variable Methodology – This study is a quantitative research with 200 samples from BMT NU Jawa Timur’s customers. It uses non-probality sampling, and data collected will be analyzed with the help of SPSS software to obtain statistical correlation and regression techniques (validity test, reliability test, classic assumption test, path analysis, t-test, and trimming test). Finding
Negative / Null Result ReportOpen accessPlant ecology
T. Ata, S. Awadalla, M. Bayoumy et al. · 2025 · Journal of Plant Protection and Pathology
The white mango scale insect, Aulacaspis tubercularis (Diaspididae: Homoptera), is one of the most destructive pests affecting mango trees in Egypt. This study investigates the impact of different mango cultivars on the population dynamics of this insect in New Damietta mango orchards during the 2022 and 2023 seasons. The effects of natural enemies and weather factors, including mean temperature (°C), relative humidity (%), tree orientation, and seasonality, were analyzed. The findings revealed three annual population peaks of A. tubercularis, occurring in February, May, and August across diff
View details →DOI: 10.21608/jppp.2025.358702.1313 Negative / Null Result ReportOpen accessMedicine (General)
Henneman L, van Asperen CJ, Oosterwijk JC et al. · 2020 · Patient Preference and Adherence
Lidewij Henneman,1 Christi J van Asperen,2 Jan C Oosterwijk,3 Fred H Menko,4 Liesbeth Claassen,5 Daniëlle RM Timmermans5 1Department of Clinical Genetics, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands; 2Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands; 3Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; 4Family Cancer Clinic, Netherlands Cancer Institute, Amsterdam, the Netherlands; 5Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit, Amster
Negative / Null Result ReportOpen accessPersonnel management. Employment management
Retno P. Setyaningrum, Muafi Muafi · 2022 · SA Journal of Human Resource Management
Orientation: Indonesia is currently in the industrial revolution 4.0 and 5.0. Woman entrepreneurs must be able to increase creativity, innovative behaviour and trust in digital technology to have sustainable competitive advantage for their firm. Research purpose: This study aimed to examine and analyse the impact of creativity and innovative behaviour on competitive advantage mediated by trust in digital technology for women entrepreneurs. Motivation for the study: The literature of creativity, innovative behaviour, trust in digital technology and competitive advantage is still limited in wome
View details →DOI: 10.4102/sajhrm.v20i0.2069 Negative / Null Result ReportOpen accessNutrition. Foods and food supply
Mohammad Hassan Sohouli, Ghazaleh Eslamian, Nasser Malekpour Alamdari et al. · 2023 · Frontiers in Nutrition
BackgroundWe decided to conduct this study with the aim of investigating the effects of N-Acetylcysteine (NAC) on obesity complications and senescence of visceral adipose tissue in obese adults.Methods and analysisThe present study was conducted as a randomized clinical trial (RCT) (Clinical trial registry number: IRCT20220727055563N1) on 40 obese adults candidates for bariatric surgery, who were randomly assigned to receive 600 mg of NAC (n = 20) or placebo as a control (n = 20) for 4 weeks. During bariatric surgery, visceral adipose tissue was used to examine gene expression and senescence c
View details →DOI: 10.3389/fnut.2023.1237869 Negative / Null Result ReportOpen accessOphthalmology
Saeed Shokoohi-Rad, Seyedeh Zeinab Hashemi Javaheri, Fatemeh Zare Malekabad et al. · 2020 · Indian Journal of Ophthalmology
Purpose: The aim of the present study was to compare the effects of the preoperative doses of betamethasone acetate 0.1% and placebo on controlling dry eye after cataract surgery. Methods: This randomized triple-blind clinical trial was conducted on 62 patients. For the purpose of the study, the participants were assigned into two groups of betamethasone (n = 28) and placebo (n = 34). The groups were administered with drops A or B three days before the operation, four times a day. These drops contained either betamethasone 0.1% or normal saline (placebo). Postoperative follow-up was performed
View details →DOI: 10.4103/0301-4738.278367 Negative / Null Result ReportOpen accessMicrobiology
Kayla J. Ragland, Kipton B. Travis, Emmalie R. Spry et al. · 2025 · Metabolites
Background : Muscle loss during sarcopenia and atrophy is also commonly associated with age-related insulin resistance. Interestingly, branched-chain amino acids (BCAA) which are known for stimulating muscle protein synthesis are commonly elevated during insulin resistance and sarcopenic obesity. Objectives : This study investigated the effects of the interplay between atrophy and insulin resistance on insulin sensitivity, mitochondrial metabolism, and BCAA catabolic capacity in a myotube model of skeletal muscle insulin resistance. Methods : C2C12 myotubes were treated with dexamethasone to i
View details →DOI: 10.3390/metabo15050322 Negative / Null Result Report
Wangnen Lampa, Geyin Boli, Boa Reena Tok · 2024 · GLOBAL JOURNAL FOR RESEARCH ANALYSIS
The present study focuses on nding out how senior secondary students of Tirap district, Arunachal Pradesh, India are performing in English and to nd out the signicant difference in the attitude and achievement levels of these students…
View details →DOI: 10.36106/gjra/4003742 Negative / Null Result Report
Wenyu Liu, D Stephen Coad · 2025 · Statistical Methods in Medical Research
Multi-armed multi-stage designs evaluate experimental treatments using a control arm at interim analyses. Incorporating response-adaptive randomisation in these designs allows early stopping, faster treatment selection and more patients to…
View details →DOI: 10.1177/09622802251319896 Negative / Null Result Report
Anika Jantzen, Miriam Opoku-Pare, Katharina Ruf et al. · 2014 · European Respiratory Journal
Introduction: Exercise and habitual physical activity are important components in the care of patients with cystic fibrosis (CF). Regular exercise and physical activity improve physical fitness, exercise tolerance, quality of life and…
View details →DOI: 10.1183/13993003/erj.44.suppl_58.p1971 Negative / Null Result ReportOpen accessMathematics
Yoav Zeevi, Sofi Astashenko, Liad Mudrik et al. · 2020 · arXiv
The field of psychological sciences has been grappling with the replicability crisis. Various issues have been identified as potential sources of this problem. We bring to light a potential source that has largely been overlooked and demonstrate its significant contribution to the problem: the practice of multiple comparisons. We analyzed 88 papers from the Reproducibility Project in Psychology and found that multiple results are commonly reported in a single paper, ranging from 4 to 730 (M=77.7), without multiple comparison adjustments. We retroactively applied such an adjustment using a hier
Negative / Null Result ReportOpen accessComputer Science
Sebastian Wallkotter, Rebecca Stower, Arvid Kappas et al. · 2020 · arXiv
Mind perception in robots has been an understudied construct in human-robot interaction (HRI) compared to similar concepts such as anthropomorphism and the intentional stance. In a series of three experiments, we identify two factors that could potentially influence mind perception and moral concern in robots: how the robot is introduced (framing), and how the robot acts (social behaviour). In the first two online experiments, we show that both framing and behaviour independently influence participants' mind perception. However, when we combined both variables in the following real-world exper
Negative / Null Result ReportOpen accessComputer Science
Hanna Woloszyn, Benjamin Gagl · 2025 · arXiv
The role of large language models (LLMs) in education is increasing, yet little attention has been paid to whether LLM-generated text resembles child language. This study evaluates how LLMs replicate child-like language by comparing LLM-generated texts to a collection of German children's descriptions of picture stories. We generated two LLM-based corpora using the same picture stories and two prompt types: zero-shot and few-shot prompts specifying a general age from the children corpus. We conducted a comparative analysis across psycholinguistic text properties, including word frequency, lexi
Negative / Null Result ReportOpen accessComputer Science
Nikunj Arora, Markku Suomalainen, Matti Pouke et al. · 2022 · arXiv
We propose augmenting immersive telepresence by adding a virtual body, representing the user's own arm motions, as realized through a head-mounted display and a 360-degree camera. Previous research has shown the effectiveness of having a virtual body in simulated environments; however, research on whether seeing one's own virtual arms increases presence or preference for the user in an immersive telepresence setup is limited. We conducted a study where a host introduced a research lab while participants wore a head-mounted display which allowed them to be telepresent at the host's physical loc
Negative / Null Result ReportOpen accessPhysics
Jian Li, Zhihong Jeff Xia, Hanlun Lei et al. · 2024 · arXiv
In some recent work, we provided a quantitative explanation for the number asymmetry of Jupiter Trojans by hypothesizing a free-floating planet (FFP) flyby into the Solar System. In support of that explanation, this paper examines the influence of the same FFP flyby on the Hilda asteroids, which orbit stably in the 3:2 mean motion resonance with Jupiter. The observed Hilda population exhibits two distinct resonant patterns: (1) a lack of Hildas with resonant amplitudes < 40 deg. at eccentricities < 0.1; (2) a nearly complete absence of Hildas with amplitudes < 20 deg., regardless of eccentrici
Negative / Null Result Report
Duaa S. Alwan · 2023 · E3S Web of Conferences
Early fatigue and rutting are among the most common types of road damage due to their main relationship with pavement performance. These damages occur due to excessive loads on the axles of the vehicles or improper design of the mixture in…
View details →DOI: 10.1051/e3sconf/202342703041 Negative / Null Result ReportOpen accessComputer Science
Shintaro Sakai, Jisun An, Migyeong Kang et al. · 2025 · arXiv
Prior clinical psychology research shows that Western individuals with depression tend to report psychological symptoms, while Eastern individuals report somatic ones. We test whether Large Language Models (LLMs), which are increasingly used in mental health, reproduce these cultural patterns by prompting them with Western or Eastern personas. Results show that LLMs largely fail to replicate the patterns when prompted in English, though prompting in major Eastern languages (i.e., Chinese, Japanese, and Hindi) improves alignment in several configurations. Our analysis pinpoints two key reasons
Negative / Null Result ReportOpen accessComputer Science
Zichao Wang, Alexa Siu · 2026 · arXiv
Large language models (LLMs) have shown strong performance on standardized social science instruments, but their value for product discovery remains unclear. We investigate whether interview-informed generative agents can simulate user responses in concept testing scenarios. Using in-depth workflow interviews with knowledge workers, we created personalized agents and compared their evaluations of novel AI concepts against the same participants' responses. Our results show that agents are distribution-calibrated but identity-imprecise: they fail to replicate the specific individual they are gro
Negative / Null Result ReportOpen accessMathematics
Falco J. Bargagli-Stoffi, Omar Melikechi · 2026 · arXiv
Identifying covariates that modify treatment effects is a central problem in causal inference. Yet existing data-adaptive procedures do not provide finite-sample control over the expected number of false discoveries, risking spurious findings that fail to replicate. We introduce causal stability selection, an algorithm that combines cross-fitted estimation of conditional average treatment effects with integrated path stability selection. The method accommodates arbitrary treatment effect estimators and arbitrary base selectors, and produces a selection set with an explicit, non-asymptotic boun
Failed Experiment ReportOpen accessEconomics, Econometrics and Finance
Aleksandar Mijatović, Mikhail Urusov · 2011 · arXiv
Modelling stock prices via jump processes is common in financial markets. In practice, to hedge a contingent claim one typically uses the so-called delta-hedging strategy. This strategy stems from the Black--Merton--Scholes model where it perfectly replicates contingent claims. From the theoretical viewpoint, there is no reason for this to hold in models with jumps. However in practice the delta-hedging strategy is widely used and its potential shortcoming in models with jumps is disregarded since such models are typically incomplete and hence most contingent claims are non-attainable. In this
Negative / Null Result ReportOpen accessComputer Science
Damian Ruck, R. Alexander Bentley, Alberto Acerbi et al. · 2017 · arXiv
Here we test Neutral models against the evolution of English word frequency and vocabulary at the population scale, as recorded in annual word frequencies from three centuries of English language books. Against these data, we test both static and dynamic predictions of two neutral models, including the relation between corpus size and vocabulary size, frequency distributions, and turnover within those frequency distributions. Although a commonly used Neutral model fails to replicate all these emergent properties at once, we find that modified two-stage Neutral model does replicate the static a
Negative / Null Result ReportOpen accessPhysics
María Pereda · 2024 · arXiv
The problem of free-riding arises when individuals benefit from a shared resource, service, or public good without contributing proportionately to its provision. This conduct often leads to a collective action problem, as individuals pursue personal gains while relying on the contributions of others. In this study, we present a Bayesian inference model to elucidate the behaviour of participants in a Public Goods Game, a conceptual framework that captures the essence of the free-riding problem. Here, individuals possess information on the distribution of group donations to the public good. Our
Negative / Null Result ReportOpen accessComputer Science
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh et al. · 2022 · arXiv
Robust imitation learning using disturbance injections overcomes issues of limited variation in demonstrations. However, these methods assume demonstrations are optimal, and that policy stabilization can be learned via simple augmentations. In real-world scenarios, demonstrations are often of diverse-quality, and disturbance injection instead learns sub-optimal policies that fail to replicate desired behavior. To address this issue, this paper proposes a novel imitation learning framework that combines both policy robustification and optimal demonstration learning. Specifically, this combinato
Negative / Null Result ReportOpen accessComputer Science
Chenglong Ma, Ziqi Xu, Yongli Ren et al. · 2025 · arXiv
Traditional offline evaluation methods for recommender systems struggle to capture the complexity of modern platforms due to sparse behavioural signals, noisy data, and limited modelling of user personality traits. While simulation frameworks can generate synthetic data to address these gaps, existing methods fail to replicate behavioural diversity, limiting their effectiveness. To overcome these challenges, we propose the Personality-driven User Behaviour Simulator (PUB), an LLM-based simulation framework that integrates the Big Five personality traits to model personalised user behaviour. PU
Negative / Null Result ReportOpen accessPhysics
Patrick Murphy, Misha Perepelitsa, Ilya Timofeyev et al. · 2023 · arXiv
Studies in the collective motility of organisms use a range of analytical approaches to formulate continuous kinetic models of collective dynamics from rules or equations describing agent interactions. However, the derivation of these kinetic models often relies on Boltzmann's hypothesis of "molecular chaos", that correlations between individuals are short-lived. While this assumption is often the simplest way to derive tractable models, it is often not valid in practice due to the high levels of cooperation and self-organization present in biological systems. In this work, we illustrated this
Negative / Null Result ReportOpen accessComputer Science
Rohan Jha, Reno Kriz, Benjamin Van Durme · 2026 · arXiv
The XTR (conteXtual Token Retrieval) algorithm is a modification to ColBERT retrieval that avoids the costly step of fully gathering and reranking the candidates' embeddings by imputing their missing similarity scores from the initial token retrieval step. The original work proposes a modified training objective as necessary for effective XTR retrieval, arguing that standard ColBERT token scoring is unsuitable for imputation. In this paper, we replicate both the XTR retrieval algorithm and its modified training objective, and extend the evaluation to knowledge-distillation (KD) training and ef
Negative / Null Result ReportOpen accessComputer Science
Xin Ding, Yongwei Wang, Zuheng Xu · 2023 · arXiv
Continuous Conditional Generative Adversarial Networks (CcGANs) enable generative modeling conditional on continuous scalar variables (termed regression labels). However, they can produce subpar fake images due to limited training data. Although Negative Data Augmentation (NDA) effectively enhances unconditional and class-conditional GANs by introducing anomalies into real training images, guiding the GANs away from low-quality outputs, its impact on CcGANs is limited, as it fails to replicate negative samples that may occur during the CcGAN sampling. We present a novel NDA approach called Dua
Negative / Null Result ReportOpen accessMathematics
Fintan Costello, Paul Watts · 2022 · arXiv
There is a well-known problem in Null Hypothesis Significance Testing: many statistically significant results fail to replicate in subsequent experiments. We show that this problem arises because standard `point-form null' significance tests consider only within-experiment but ignore between-experiment variation, and so systematically underestimate the degree of random variation in results. We give an extension to standard significance testing that addresses this problem by analysing both within- and between-experiment variation. This `distributional null' approach does not underestimate exper
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance
Damien Ackerer, Natasa Tagasovska, Thibault Vatter · 2019 · arXiv
We present a neural network (NN) approach to fit and predict implied volatility surfaces (IVSs). Atypically to standard NN applications, financial industry practitioners use such models equally to replicate market prices and to value other financial instruments. In other words, low training losses are as important as generalization capabilities. Importantly, IVS models need to generate realistic arbitrage-free option prices, meaning that no portfolio can lead to risk-free profits. We propose an approach guaranteeing the absence of arbitrage opportunities by penalizing the loss using soft const
Methods Dead-EndOpen accessComputer Science
Aytaç Sekmen, Fatih Emre Gunes, Furkan Horoz et al. · 2026 · arXiv
Monocular Depth Estimation (MDE) is crucial for autonomous lunar rover navigation using electro-optical cameras. However, deploying terrestrial MDE networks to the Moon brings a severe domain gap due to harsh shadows, textureless regolith, and zero atmospheric scattering. Existing evaluations rely on analogs that fail to replicate these conditions and lack actual metric ground truth. To address this, we present LuMon, a comprehensive benchmarking framework to evaluate MDE methods for lunar exploration. We introduce novel datasets featuring high-quality stereo ground truth depth from the real C
