Influence of Electrolyte Composition on the Semiconductor–Electrolyte Interface (SEI) Built-In for Enhanced Photoelectrochemical (PEC) Processes by Bartłomiej Leks, Aleksandra Parzuch, Nabila Nawaz, Justyna Widera-Kalinowska, Krzysztof Bienkowski, Renata Solarska

“…This rigid layer plays a pivotal role in boosting PEC performance, offering a new perspective on optimising, among other PEC processes, CO₂RR catalytic efficiency. This profound study bridges a critical knowledge gap, shedding light on the dual influence of cations and anions on SEI properties and PEC CO₂RR. …”
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Planetary roller extruders in the sustainable development of polymer blends and composites – Past, present and future by Krzysztof Formela, Barış Eyigöz

“…This paper is the first review of the application of planetary roller extruders in the compounding and reactive processing of polymer blends and composites. To fill current knowledge gaps, we discuss the advantages and disadvantages of planetary roller extruders compared to other screw extruders. …”
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Leveraging social circles and algorithmic processes in digital mental health tools for college students' stress management by Farhanuddin Fazaluddin Kazi, Jomara Sandbulte

“…Method. To address this gap, we developed a technological probe that integrates social features with algorithmic processes to provide recommendations for both individuals and groups, aimed at supporting students' stress management efforts. …”
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A Short Bibliometric Analysis of Detoxification Processes in Butanol Production from Biomass Hydrolysates via Fermentation by Bruno X. Ferreira, Riann De Q. Nobrega, Rubens Maciel Filho, Carla F.S. Vieira, Adriano P. Mariano

“…All these techniques were applied before fermentation, suggesting a potential gap in research on in-situ detoxification strategies.…”
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Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing. by Sofia Gil-Clavel, Thorid Wagenblast, Tatiana Filatova

“…This omits the vast body of knowledge from qualitative research. We address this gap by performing a comparative analysis of factors associated with farmers' climate change adaptation in both quantitative and qualitative literature using Natural Language Processing and generalized linear models. …”
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Crop and Weed Management Practices of Snap Bean (Phaseolus vulgaris) Production Fields in the United States by Pavle Pavlovic, Jed B. Colquhoun, Nicholas E. Korres, Rui Liu, Carolyn J. Lowry, Ed Peachey, Barbara Scott, Lynn M. Sosnoskie, Mark J. VanGessel, Martin M. Williams II

“…Agronomic and weed management practices employed by growers in the production of snap bean (Phaseolus vulgaris) for the processing industry are poorly characterized. To address this knowledge gap, records of agronomic and weed management practices from 358 snap bean fields were obtained from collaborating processors. …”
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Leveraging social media data to study disease and treatment characteristics of Hodgkin's lymphoma Using Natural Language Processing methods. by Zasim Azhar Siddiqui, Maryam Pathan, Sabina Nduaguba, Traci LeMasters, Virginia G Scott, Usha Sambamoorthi, Jay S Patel

“…Further research is necessary to bridge these gaps.<h4>Conclusion</h4>Our study demonstrated potential of using social media as a valuable preliminary research source for understanding the characteristics of rare diseases such as Hodgkin's Lymphoma.…”
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Improved performance in retail distribution process through a Lean Manufacturing approach: A case study by Sofia Vierci-Codas, Andrea Insfran-Rivarola, Ana Pamela Arevalos, Sharon Macias-Velasquez, Carlos Zepeda-Lugo, Eduardo Martínez-Mendoza

“…First, a literature review revealed the key gaps to be addressed, the most commonly faced problems, and the LM tools applicable to solving these issues. …”
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Novel parent survey measures sensory behaviors incorporating sensory modality and stimulus intensity by Connor Yee, Ellie Rather, Sakib Hoque, Joon Lee, Stephanie Marton, Jill Roth, Frederick L. Oswald, Kenneth J. Nobleza, Ankona Banerjee, Holly Harris, Ariel M. Lyons-Warren

“…However, existing assessments lack granularity in evaluating hypersensitivity and hyposensitivity, particularly in relation to stimulus intensity. We address this gap with our Sensory Response Questionnaire Phenotyper (SRQP), a parent-questionnaire that comprehensively assesses sensory behaviors across five sensory modalities. …”
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FPGA‐Based Design of Ultra‐Efficient Approximate Adders for High‐Fidelity Image Processing: A Logic‐Optimized Approach by Ramakrishna Reddy Eamani, N. Vinodhkumar, Ambe Harrison, Wulfran Fendzi Mbasso

“…In order to close this gap, this work suggests a family of new 1‐bit approximate full adder (AFA) designs optimized with basic AND‐OR gate logic. …”
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Capabilities of computerized decision support systems supporting the nursing process in hospital settings: a scoping review by Cynthia Abi Khalil, Antoine Saab, Jihane Rahme, Jacques Bouaud, Brigitte Seroussi

“…Abstract Background The implementation of the Nursing process (NP) is a complex and cognitively demanding task that can be enhanced by using clinical decision support systems (CDSSs). …”
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Selection of the Process of Arc Welding of Sealing Surfaces of Power Valves with a Consumable Electrode in the Shielding Gas by D. V. Rogozin, V. A. Lenivkin

“…The presented research is intended to fill this gap. The objective of its authors is to select such a process of arc welding of beads on parts of the power valve trim with a consumable electrode in shielding gases, which would provide the best workability of the deposited metal.Materials and Methods. …”
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Nuclear hormone receptors control fundamental processes of human fetal neurodevelopment: Basis for endocrine disruption assessment by Katharina Koch, Kevin Schlüppmann, Saskia Hüsken, Louisa Merit Stark, Nils Förster, Stefan Masjosthusmann, Jördis Klose, Arif Dönmez, Ellen Fritsche

“…Despite growing awareness of endocrine disrupting chemicals (EDCs), knowledge gaps remain regarding their effects on human brain development. …”
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Optimizing the efficacy of COVID-19 patient satisfaction surveys in India: A DELPHI- based validation process by Shazina SAEED, Karuna Nidhi KAUR, Manmohan SINGHAL, Mohd. SHANNAWAZ, Farah NIAZI, Bhavna KUMAR, Aanchal ANANT AWASTHI

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Techno-economic analysis and process simulation of alkoxylated surfactant production in a circular carbon economy framework by Oliver J. Fisher, Jhuma Sadhukhan, Thorin Daniel, Jin Xuan

“…CO2 conversion rates range around 3% across processing capacities of 25 kt/a, 100 kt/a, and 1000 kt/a. …”
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Documenting the Production Process of Faba bean (Vicia faba L.) in Gorgan, Ali Abadkatol and Aqqola Regions by Mohammad Reza Mansouri Vajari, Ebrahim Zeinali, Afshin Soltani, Benjamin Torabi, Alireza Nehbandani

“…From a scientific point of view, it is possible to improve such management processes by using various techniques, among which continuous improvement and re-engineering of processes are among the most important ones. …”
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How inventory consignment programs can improve supply chain performance: a process oriented perspective by Manoj K. Malhotra, Alan W. Mackelprang, Jayanth Jayaram

“…This study addresses this gap in the extant literature by examining IC from a process perspective by specifically addressing: (1) the implementation issues in an IC program for both buyers and suppliers and (2) the financial and operational benefits from IC for both buyers and suppliers. …”
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Enhancement Material Removal Rate Optimization of Sinker EDM Process Parameters Using a Rectangular Graphite Electrode by Sukarman, Sumanto, Acim Maulana, Dodi Mulyadi, Khoirudin, Siswanto, Ade Suhara, Safril

“…The result showed that pulse current has the most significant impact on material removal rate in the initial study, followed by spark on time and gap voltage. …”
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Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model by Maria Angelova, Tania Pencheva

“…Among the considered GA parameters, generation gap influences most significantly to SGA and MGA convergence time, saving of about 40% of computational time of the algorithms without affecting the model accuracy.…”
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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Among them, missing data in recorded time series is arguably the most common and most disruptive challenge that can arise. …”
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