React based web-application for stock price forecasting with a novel stacking algorithm by Mittal, Madhav

“…The “Last Value” algorithm is a naïve algorithm that assumes zero volatility in the data and thus sets all forecasts to be the value of the last observation. …”
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Local climate action from the middle-out: the social potential of craft guilds to facilitate low-carbon installations in Germany by Wehden, S, Janda, KB, Jansen, J, Creutzig, F

“…However, research on effective governance arrangements targeting this ‘installation bottleneck’ is limited. To fill this gap, we adopt a Middle-Out Perspective (MOP) and use rich qualitative data including in-depth interviews to study the role of craft guilds within Germany's low-carbon transition, particularly in rooftop photovoltaic and heat pump installation. …”

Doctor, Will You Pray for Me? : Medicine, Chaplains, and Healing the Whole Person / by Klitzman, Robert, author 655971

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The quality/cosmology tension for a post-inflation QCD axion by Lu, Qianshu, Reece, Matthew, Sun, Zhiquan

“…We emphasize that the gauge equivalence of all minima of the axion potential (i.e., domain wall number equals one) is insufficient to solve the cosmological domain wall problem. …”
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A novel ant colony optimization-based maximum power point tracking for photovoltaic systems under partially shaded conditions by Jiang, Lian Lian., Maskell, Douglas L., Patra, Jagdish C.

“…However, when the PV arrays are partially shaded, multiple MPPs show up, which usually results in the failure of finding the global MPP. Some researchers have reported this problem and tried to solve it, but most of the MPP control schemes are relatively complicated or fail to guarantee the MPP under all shading circumstances. …”
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Evidence for resistance of activated sludge flocs to deflocculative DO stress by Suresh, Akshaykumar, Grygolowicz-Pawlak, Ewa, Poh, Leong Soon, Maszenan Abdul Majid, Dominiak, Dominik, Bugge, Thomas Vistisen, Gao, Xin, Ng, Wun Jern

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Information entropy based leakage profiling by Ou, Changhai, Zhou, Xinping, Lam, Siew-Kei, Zhou, Chengju, Ning, Fangxing

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Do we need ramsey taxation? Our existing taxes are largely corrective by Yan, Eric, Feng, Qu, Ng, Yew-Kwang

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ELM embedded discriminative dictionary learning for image classification by Zeng, Yijie, Li, Yue, Chen, Jichao, Jia, Xiaofan, Huang, Guang-Bin

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Dynamic network service selection in intelligent reflecting surface-enabled wireless systems: game theory approaches by Thanh Van, Nguyen Thi, Luong, Nguyen Cong, Feng, Shaohan, Nguyen, Huy T., Zhu, Kun, Luong, Thien Van, Niyato, Dusit

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PRFusion: toward effective and robust multi-modal place recognition with image and point cloud fusion by Wang, Sijie, Kang, Qiyu, She, Rui, Zhao, Kai, Song, Yang, Tay, Wee Peng

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Finite element analysis of expandable bi-leaflet heart valves for infants by Sin, Jonathan Junyao

“…Improvements on previous studies include finding and correcting errors in calculations and designs, testing the valve and conduit sizes that were previously not included in earlier studies and the establishment of a standard set of dimensions that can serve as a reference for all future studies. …”
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A generative model for evaluating missing data methods in large epidemiological cohorts by Radosavljević, L, Smith, SM, Nichols, TE

“…For example, in the UK Biobank missing data tends to appear in blocks, because non-participation in one of the sub-studies leads to missingness for all sub-study variables. Methods: We propose a tool for generating mixed type missing data mimicking key properties of a given real large scale epidemiological data set with both structured and unstructured missingness while accounting for informative missingness. …”

Effects of different throttle opening and air intake lengths on the volumetric efficiency of SI engine using 1D simulation method by Ahmad Harazi, Mohamad Firzan, Hairuddin, Abdul Aziz, As’arry, Azizan, Masuri, Siti Ujila

“…The findings from this study contribute to a good understanding of engine performance through intake length tuned based on throttle opening.…”
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Unfolding the role of metaverse in agri‐food supply chain security: current scenario and future perspectives by El Jaouhari, Asmae, Arif, Jabir, Jawab, Fouad, Samadhiya, Ashutosh, Kumar, Anil

“…The findings offer valuable insights, particularly for researchers, decision makers, and industry partners who aim to better comprehend the potential benefits and challenges related to integrating metaverse solutions into the agri‐food industry. …”
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Patterns of link reciprocity in directed, signed networks by Gallo, A, Saracco, F, Lambiotte, R, Garlaschelli, D, Squartini, T

“…Most of the analyses concerning signed networks have focused on the balance theory, hence identifying frustration with undirected, triadic motifs having an odd number of negative edges; much less attention has been paid to their directed counterparts. To fill this gap, we focus on signed, directed connections, with the aim of exploring the notion of frustration in such a context. …”

Cost performace of road construction projects in Nigeria by Aligamhe, Victor Imohnikhe, Mustapa, Muzani, Patrick Ogbu, Chukwuemeka

“…Major project participants were purposively chosen to fill out questionnaires on cost-risk factors associated with highway construction projects. …”
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Exploring opportunities and risks of artificial intelligence research for islamic ethical guidelines by Aliff, Nawi, Nor Yazi, Khamis, Mohd Faiz, Yaakob, Mohd Al Adib, Samuri, Zakaria, Gamal Abdul Nasir

“…Hence, this study aims to fill the gap by reviewing contemporary perspectives on AI opportunities and risks. …”
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Uncertainty Quantification of Spatiotemporal Travel Demand With Probabilistic Graph Neural Networks by Wang, Qingyi, Wang, Shenhao, Zhuang, Dingyi, Koutsopoulos, Haris, Zhao, Jinhua

“…However, these studies largely ignored uncertainty that inevitably exists in travel demand prediction. To fill this gap, this study proposes a framework of probabilistic graph neural networks (Prob-GNN) to quantify the spatiotemporal uncertainty of travel demand. …”
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The influence of the dynamic change of fear: how gender-specific messages affect anti-smoking intentions by Gu, Rui

“…Therefore, this study employed tailored fear appeals, the gender-specific graphic warning labels, to fill the conceptual gaps in the model. The findings showed that gender specificity as a message type and participants’ genders as an audience characteristic led to different changes of fear and, thus, varying levels of persuasion. …”
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