bluuebunny/crossref_metadata_2025_split huggingface dataset:
USING ONLINE PLATFORM FOR COMMUNITY ENGAGEMENT DURING THE COVID-19 PANDEMIC
Authors: Chawa Anif 
Published: December 2023

The spread of the Coronavirus disease across the world remains unstoppable with destructive negative impacts on health and the socio-economic life of communities. Government, organizations and impacted communities have established various development programs to overcome these impacts. However, multiple protocols in combating the virus (wearing mask, social distancing or staying 6 feet apart and avoiding crowds) have hampered the distribution of these programs to the communities. This study aims to examine how community engagement process has been conducted by using online platform. The study sourced data from fifteen community development programs conducted by undergraduate students. Before the pandemic, these programs were distributed to the communities offline. This study found several online platforms which were used mostly by those students including webinar and meeting software, such as zoom, website and social media like Instagram and Facebook. These platforms were employed to conduct webinar, inform, and involve other groups or communities in the programs. As a result, the communities have become more active and familiar in utilizing online platforms to establish various development programs. However, this study also identifies some problems which hinder the community engagement process including online communication issues and lack of the accessibility of communities using the internet.
Deskripsi Kemampuan Hasil Lari 100 Meter
Authors: Khoirot Fastabiqul , Samodra Touvan Juni , Supriatna Eka 
Published: December 2023

The study aims to description of the ability of men's and women's running speed to the results of the 100-meter sprint. This research is descriptive quantitative, with a survey with a 100-meter test. The population in this study were students of the 2021 Class of Sports Coaching Education with 33 people. The data analysis technique uses percentage statistics. The results showed that the average running ability of men was 14.74 seconds, with the fastest running 13 seconds and 16.69 seconds late. For the daughter of 8 students, the fastest 17.87 seconds was 19.90 seconds late with an average acquisition of 18.50 seconds.
Abandoned Wells Can Provide Use for Pulverized Wind-Turbine Blades
Authors: Carpenter Chris 
Published: December 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 213000, “Improving Economics for Abandoning Orphaned and Idle Oil and Gas Wells by Providing Storage for Pulverized Blades From Wind Turbines,” by Elena Ikeocha, SPE, and Iraj Ershaghi, SPE, University of Southern California. The paper has not been peer reviewed.

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The complete paper outlines a potential solution for handling leftovers from wind-turbine blades. Bisphenol A (BPA) is a chemical used in such blades. The risk of BPA leaching into groundwater resources and the soil from wind-turbine-blade landfills can damage the food chain and can harm future generations through exposure to contaminated resources. The solution discussed by the authors is the potential use of the casing of idle wells considered for plugging and abandonment (P&A) for housing pulverized blades mixed with Portland cement. ​​​

Introduction
The first large wind farms in the US were installed in the 1980s. Since then, the US has experienced two generations of wind-turbine installations, meaning that many of the early-generation turbines have already reached their end of life (EOL).
Approximately 85% of turbine components are recyclable. Because of the complexity of the recycling process, however, these parts typically end up in landfills. Using landfills is, unfortunately, the most-common method for blade disposal in the US because of its convenience and cost efficiency.
Wind turbines are manufactured using composite materials formed by the combination of polymer resins and high-tensile-strength fibers to develop glass-fiber-reinforced (GFRP) or carbon-fiber-reinforced polymers. These composite materials provide strength, weight, and durability. The strength and durability of the turbines, in conjunction with their size, create a disposal problem during their EOL. A singular wind turbine blade can be up to 100 yards long. The average weight of a wind turbine blade 128 ft long is 5,200 lbm. Blades that measure 155 ft can weigh up to 27,000 lbm.
The annual rate of blade decommissions is projected to reach 2.2 million tons per year by 2050. Breaking down the statistical outlook further, 400,000 tons of blades will be decommissioned annually by 2030. This number is projected to reach 800,000 tons annually by 2050.

EOL Options for Wind Turbines
Between 80 and 90% of a wind-turbine blade’s mass consists of composite materials. Of that percentage, 60–70% is made up of reinforced fibers, while the remainder is resin. BPA is a chemical produced mainly for use in polycarbonate plastics. The epoxy used to form the blade consists of approximately 30–40% BPA. BPA can leak out because of blade erosion after landfill placement.
Wind-turbine-blade landfills have the potential not only to leach hazardous chemicals into the environment but also to affect subsurface aquifers. Because of their durable nature, they will remain in landfills forever and leach volatile organic compounds and other toxins for decades.
Produced-Water Desalination Approach Uses Renewable Thermal Energy
Authors: Carpenter Chris 
Published: December 2023

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 211175, “An Innovative Method of Water Management by Desalinating Produced Water Using Thermal Renewable Energy,” by Sharifa M. Al-Ruheili, Felix Tiefenbacher, and Khansaa H. Almahrami, ARA Petroleum Exploration and Production, et al. The paper has not been peer reviewed.

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The operator is adopting a method to manage high-salinity produced water in an environmentally sustainable way by extracting potable water from produced water and reducing discharge water volume by at least 50%. For desalination of the produced water, a combination of forward and direct osmosis technology is used. This process is driven mostly by thermal energy, which is provided to thermal collectors that are 100% solar. This technology uses renewable energy and will have no carbon footprint.

Technology Description
The technology involves concentrated solar thermal (CST) power plants that provide 100% renewable water desalination. Forward osmosis (FO) and direct osmosis (DO) can desalinate highly saline and polluted water, such as produced water, mainly with solar thermal energy. A pneumatic solar thermal plant consisting of two HELIOtube collectors, each 121 m long, provides the thermal energy for the desalination process. The plant includes a mirror technology based on CST, a cost-effective heat-transfer system using pressurized water as heat transfer fluid (HTF), and a low-maintenance thermal energy storage (TES) system allowing nighttime operations of 35 m3 volume with an operating temperature of 180°C using a pressurized water tank at 10-bar operating pressure. The desalination system will contain a pretreatment unit for the produced water and a desalination (FO) and brine-concentration (DO) unit. The unit will be integrated with thermal power to operate the desalination plant. In addition, a fully automated control system with a live backup will be installed. The system is classified as having low maintenance and cleaning costs because of its encapsulation features, rotatability of 300°, and convex shape.
Fig. 1 of the complete paper shows the planned plant layout. The desalination plant will feature two outputs: fresh water of potable quality and brine. The fresh water will be used to serve the company’s freshwater demand, with excess water used for agricultural purposes or mixed with water in an injector well to improve injectivity. The other output, the highly concentrated brine (20% salt), will be collected in the existing evaporation pond where two main research and development studies are ongoing, one related to mineral extractions and the second related to salt monetization (using salt as a drilling additive).
Easy and accurate protein structure prediction using ColabFold
Authors: Kim Gyuri , Lee Sewon , Karin Eli Levy , Kim Hyunbin , Moriwaki Yoshitaka , Ovchinnikov Sergey , Steinegger Martin , Mirdita Milot 
Published: December 2023

Abstract
Since its public release in 2021, AlphaFold2 (AF2) has made investigating biological questions, using predicted protein structures of single monomers or full complexes, a common practice. ColabFold-AF2 is an open-source Jupyter Notebook inside Google Colaboratory and a command-line tool, which makes it easy to use AF2, while exposing its advanced options. ColabFold-AF2 shortens turn-around times of experiments due to its optimized usage of AF2’s models. In this protocol, we guide the reader through ColabFold best-practices using three scenarios: (1) monomer prediction, (2) complex prediction, and (3) conformation sampling. The first two scenarios cover classic static structure prediction and are demonstrated on the human glycosylphosphatidylinositol transamidase (GPIT) protein. The third scenario demonstrates an alternative use-case of the AF2 models by predicting two conformations of the human Alanine Serine Transporter 2 (ASCT2). Users can run the protocol without command-line knowledge via Google Colaboratory or in a command-line environment. The protocol is available at https://protocol.colabfold.com.
Revisiting the Seasonal Cycle of Rainfall over Central Africa
Authors: Longandjo Georges-Noel T. , Rouault Mathieu 
Published: December 2023

Abstract

The Intertropical Convergence Zone (ITCZ), with its twice-annual passage over central Africa, is considered as the main driver of the rainfall seasonality. In this ITCZ paradigm, high rainfall occurs over regions of large low-level convergence. But recently, this paradigm was challenged over central Africa. Here, we show that a shallow meridional overturning circulation– driven by surface conditions– plays a thermodynamical control on the rainfall seasonality over central Africa. Indeed, due to the local evaporative cooling effect, the foot of the ascending branch of Hadley cells occurs where the temperature is the warmest, indicating a thermal low. This distorts the southern Hadley cell by developing its bottom-heavy structure. As result, both shallow and deep Hadley cells coexist over central Africa year–round. The deep mode is associated with the poleward transport of atmospheric energy at upper levels. The shallow mode is characterized by a shallow meridional circulation, with its moisture transport vanishing and converging in the mid-troposphere rather than at lower troposphere. This mid-tropospheric moisture convergence is also the dominant component that shapes the vertically integrated moisture flux convergence, with little contribution of African easterly jets. This convergence zone thus controls the precipitating convection. Its meridional migration highlights the interhemispheric rainfall contrast over central Africa and outlines the unimodal seasonality. On the other hand, forced by the Congo basin cell, the precipitable water regulates the deep convection from the vegetated surface of Congo basin, acting as a continental sea. This nonlinear mechanism separates the rainfall into three distinct regimes: the moisture-convergence-controlled regime, with convective rainfall exclusively occurs in rainy season; the local evaporation-controlled regime with drizzle and the precipitable-water-controlled regime, with exponential rainfall increase occur both in dry season.
Reconciling Efficiency and Security of the Internet of Things: A Recursive InterNetwork Architecture (RINA) Approach
Authors: Teymoori Peyman , Ramezanifarkhani Toktam 
Published: December 2023

Abstract
The Internet of Things (IoT) has revolutionized our lives by connecting devices to the internet, enabling automation and simplifying daily routines. However, as IoT is built upon the foundation of older network architectures and protocols, such as the Internet, its integration has brought forth significant challenges, particularly in achieving both transport layer efficiency and security at the same time. This paper presents a comprehensive overview of the current network stacks used in IoT and highlights the issues they face in this regard. We propose a novel architectural approach leveraging the Recursive InterNetwork Architecture (RINA) to address these challenges. We thoroughly evaluate how RINA's unique combination of recursion and networking can effectively reconcile the efficiency-security trade-off inherent in IoT networks; this has the potential to overcome the limitations of existing architectures and resolving the long-standing issue with Performance Enhancing Proxies (PEPs) that cannot operate on encrypted connections. We demonstrate the practical application of RINA through two use cases: a smart home environment, where RINA provides a unified networking framework, reducing the complexities of integrating diverse systems, and a healthcare patient monitoring scenario, where RINA ensures seamless integration of legacy devices while maintaining the advantages of the RINA architecture, including security and efficient data transmission. The paper concludes with a comprehensive discussion on potential future research topics, paving the way for an efficient and secure IoT ecosystem.
Harmonizing Data Streams for Edge AI Protocols to Quantify Shannon's Bounds
Authors: Rubbani Syeda Shafia 
Published: December 2023

Abstract

The human tendency to measure is deeply rooted in our cognitive processes, survival instincts and the evolution of complex systems. Harmonizing data streams during information measurement ensures accuracy, comparability, and reliability. This facilitates meaningful analysis and informed decision-making, yielding valuable insights. Our hypothesis asserts that a novel MIMO channel design can explore achievable Shannon's capacity for edge AI protocols like CoAP, MQTT, AMQP, and HTTP. MIMO's attributes align with edge AI protocols needs such as higher data rates, reliability, adaptability that are critical for successful processing. However, quantifying edge AI protocols through MIMO for Shannon's capacity remains unexplored. We present a validated mathematical MIMO framework for edge AI protocols using Shannon's capacity, yielding findings up to 20 kbps. Our results verify a customized framework for edge AI protocols, aligned with Shannon's principles. Our mathematical MIMO framework for Shannon's capacity measurement in edge-based smart machines provides a precise, relevant, and informed assessment of edge AI protocol performance. This pioneering effort sets the stage for optimized protocols that conquer edge challenges, ensuring seamless connectivity for smart machines.
Multi-population multi-strategy differential evolution algorithm with dynamic population size adjustment
Authors: Xue Caiwen , Liu Tong , Deng Libao , Gu Wei , Zhang Baowu 
Published: December 2023

Abstract

Differential Evolution (DE) algorithm is a type of global optimization algorithm based on population searching for the optimal solution. It has characteristics such as fast convergence speed, simple and understandable algorithm, few parameters, and high stability. To further enhance its exhibition, we propose a differential evolution algorithm based on subpopulation adaptive scale and multi-adjustment strategy (ASMSDE). The algorithm divides population into three sub-populations based on the fitness values, the different operation strategies are adopted according to their characteristics. The superior population and inferior population adopt respectively Gaussian disturbance and Levy flights. The task of the intermediate population is to maintain the overall diversity of the population. The sizes of the three sub-populations are adaptively adjusted based on the evolutionary results to accommodate changes in individual differences during the evolution process. With the number of iterations increases and the differences between individuals decrease, adopt single population model instead of multi-population model in the later stage of evolution. To evaluate the performance of the ASMSDE algorithm, it is compared with other advanced algorithms using benchmark function optimizations. Experimental results demonstrate that the ASMSDE algorithm outperforms the comparison algorithms in most cases, validating its effectiveness and ability to handle local optima situations.
Hydrogen generation from NaBH4 methanolysis with Ru/AC catalyst synthesized by microwave reduction method
Authors: YILDIZ Derya 
Published: December 2023

Abstract
Spent coffee grounds (SCG), a large waste stock worldwide, was converted into activated carbon (AC) with ZnCl2 chemical activation. The activated carbon was used as supported material to production of Ru catalyst. Ru/AC catalysts synthesized by different methods and at different ratios and they were investigated as a catalyst for hydrogen generation from NaBH4 methanolysis. Ru doping on activated carbon was performed by NaBH4, UV and microwave reduction methods and the hydrogen generation capacities were determined. The highest catalytic activity was found in the catalyst that produced by microwave reduction method. Among the Ru/AC catalysts synthesized at different ratios by microwave reduction method, 5% Ru/SCGZ4-600 catalyst provided the highest hydrogen generation rate. To determine the microwave reduction conditions, the effect of microwave time and temperature on the hydrogen generation rate (HGR) was also investigated. The highest HGR value was found at 15 min and 150°C synthesis conditions. 52202.4 mL/min.gcat was obtained in the presence of 0.05 g catalyst, 1.25% NaBH4, 10 mL methanol and 60°C. The activation energy with 5%Ru/SCGZ4-600 catalyst was found to be 15.33 kj/mol.
Masked in pixels: Digital self-presentation and adolescent mental health. Cross-sectional and longitudinal insights from the “LifeOnSoMe”-study.
Authors: Hjetland Gunnhild Johnsen , Finserås Turi Reiten , Børge Sivertsen , Colman Ian , Hella Randi Træland , Andersen Amanda Iselin Olesen , Skogen Jens Christoffer 
Published: December 2023

Abstract

Background The intensive use of social media among adolescents has caused concern about its impact on their mental health, but studies show that social media use is linked to both better and worse mental health. These seemingly contradictory findings may result from the diverse motivations, interactions, and experiences related to social media use, and studies investigating specific facets of social media use in relation to mental health and well-being, beyond general usage metrics, have been called for. Aspects of self-presentation on social media, such as feedback-seeking and upwards social comparison have been linked to worse mental health, however, there is a need for more studies following adolescents over time. Aim The aim of this study was to explore the cross-sectional and longitudinal relationship between aspects of self-presentation and depression, anxiety, and well-being among adolescents. Methods This study utilised both cross-sectional and longitudinal datasets from the LifeOnSoMe-study, comprising 3,424 and 439 participants, respectively (OSF preregistration doi: 10.17605/OSF.IO/BVPS8). Latent Class Analysis (LCA) was used to identify similar response patterns within the Self-Presentation and Upwards Social Comparison Inclination Scale (SPAUSCIS) and regression models and first differencing methods were applied to evaluate the cross-sectional and longitudinal associations between focus on self-presentation and mental health and well-being among adolescents. Results A strong emphasis on self-presentation was linked to increased levels of depression and anxiety in both males and females, and reduced well-being in females when compared to those with lower or moderate self-presentation focus. The effect sizes ranged from small to medium. Furthermore, an escalation in self-presentation focus over time was associated with a slight increase in symptoms of anxiety and depression; however, the association with well-being did not reach statistical significance. Conclusion The results of the present study suggest that a heightened focus on self-presentation, which includes behaviours such as seeking feedback, employing strategic self-presentation tactics, and engaging in upward social comparisons, is associated with an elevated risk of reduced mental health.
Targeted Therapy Breakthrough: Apatinib Enhances Neoadjuvant Chemotherapy in Triple- Negative Breast Cancer
Authors: YIN Yulai , ZHANG Xiaoyu 
Published: December 2023

Abstract
Objective
To investigate the clinical efficacy, prognosis, and safety of apatinib combined with doxorubicin + cyclophosphamide (AC) followed by paclitaxel (T) neoadjuvant chemotherapy regimen in patients with triple-negative breast cancer (TNBC).
Methods
A retrospective analysis was conducted on 70 patients with TNBC treated at Cangzhou Central Hospital from July 2016 to January 2020. The patients were divided into a control group (n = 34) and an observation group (n = 36) based on the treatment regimen received. The control group received neoadjuvant chemotherapy with the AC-T sequential regimen, whereas the observation group received apatinib in addition to the control group's regimen. The occurrence of adverse reactions during chemotherapy was recorded. Fasting venous blood samples were collected from both groups of patients after neoadjuvant chemotherapy completion to measure the levels of vascular endothelial growth factor (VEGF), thymidine kinase 1 (TK1), carcinoembryonic antigen (CEA), and the objective response rate (ORR) was recorded. At 4 weeks after completing neoadjuvant chemotherapy, patients underwent breast-conserving surgery or modified radical mastectomy as decided by a treatment group physician in the Thyroid Breast and Thoracic Surgery Department of Cangzhou Central Hospital, with axillary lymph node dissection determined according to sentinel lymph node biopsy results. Surgical procedures and pathological complete response (pCR) were documented. Then, a 3-year follow-up was conducted from the start of treatment to record and analyze the 3-year disease-free survival rate and 3-year overall survival rate.
Results
After completing neoadjuvant chemotherapy, the observation group showed significantly higher pCR rate, breast-conserving rate, 3-year disease-free survival rate, and 3-year overall survival rate compared to the control group (P < 0.05). The observation group also demonstrated a significant decrease in VEGF and CEA levels compared to the control group (P < 0.05). No grade III or above adverse reactions were observed in both groups during chemotherapy, and adverse reactions such as nausea and vomiting, diarrhea, leukopenia, and proteinuria were mainly recorded. In the observation group, there were 3 cases of nausea and vomiting, 5 cases of diarrhea, 7 cases of leukopenia, and 9 cases of proteinuria. In the control group, there were 4 cases of nausea and vomiting, 4 cases of diarrhea, 5 cases of leukopenia, and 6 cases of proteinuria. There was no significant difference in the occurrence of adverse reactions between the two groups (P > 0.05).
Conclusion
Apatinib combined with the AC-T sequential neoadjuvant chemotherapy regimen shows good clinical efficacy, significant prognosis, and manageable safety in patients with TNBC.