bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategic behavior of large language models and the role of game structure versus contextual framing
Authors: Lorè Nunzio , Heydari Babak 
Published: August 2024

AbstractThis paper investigates the strategic behavior of large language models (LLMs) across various game-theoretic settings, scrutinizing the interplay between game structure and contextual framing in decision-making. We focus our analysis on three advanced LLMs—GPT-3.5, GPT-4, and LLaMa-2—and how they navigate both the intrinsic aspects of different games and the nuances of their surrounding contexts. Our results highlight discernible patterns in each model’s strategic approach. GPT-3.5 shows significant sensitivity to context but lags in its capacity for abstract strategic decision making. Conversely, both GPT-4 and LLaMa-2 demonstrate a more balanced sensitivity to game structures and contexts, albeit with crucial differences. Specifically, GPT-4 prioritizes the internal mechanics of the game over its contextual backdrop but does so with only a coarse differentiation among game types. In contrast, LLaMa-2 reflects a more granular understanding of individual game structures, while also giving due weight to contextual elements. This suggests that LLaMa-2 is better equipped to navigate the subtleties of different strategic scenarios while also incorporating context into its decision-making, whereas GPT-4 adopts a more generalized, structure-centric strategy.
Fano resonances induced by strong conductive coupling in cross-shaped metasurfaces for tunable EIT-like phenomena
Authors: Teymoori Morteza , Yalcinkaya Arda Deniz 
Published: August 2024

AbstractHighly efficient Metamaterials are necessary for applications in sensing, communication, etc. Fano resonance and electromagnetically induced transparency-like phenomena are essential for obtaining high Q-factor and sensitive Metamaterials. Employing both numerical simulations and experimental analysis, we investigate the emergence of Fano resonance in cross-resonator Metamaterials facilitated by the conductive coupling between dark and bright resonators. We analyze the gradual shift of the fano resonance by tuning the dark resonator and finally form an electromagnetically induced transparency-like transmission peak. The strong coupling of the resonator is observed in the form of an anti-crossing and discussed through analytical models. We demonstrate that the coupling strength of the dark and bright resonance in our metamaterial is proportional to the asymmetry parameter, albeit at the cost of the Fano resonance’s Q-factor. The findings and methods introduced in this study can be used to develop highly efficient THz Metamaterials for various applications operable in room conditions.
Crystal layer growth with embedded carbon-based particles from effervescent tablet-based nanofluids
Authors: Ali Naser 
Published: August 2024

AbstractCrystallization occurs as dissolved substances gradually solidify into crystal layers within a liquid, which can increase the capability of fluids to transfer heat. In this study, the growth of crystal layer in nanofluids produced from carbon-based effervescent tablets was examined. The tablets were fabricated by combining multi-walled carbon nanotubes (MWCNTs), sodium dodecyl sulfate (SDS), sodium phosphate monobasic (NaH2PO4), and sodium carbonate (Na2CO3). The effervescent tablets were formulated with MWCNTs, NaH2PO4, and Na2CO3 at a weight ratio of 1:5.1:2.26, respectively. These tablets were then immersed in distilled water (DW) and seawater (SW) to produce 0.05 vol.% to 0.15 vol.% MWCNT suspensions. Then, the dispersion stability, thermal conductivity, and crystal layer growth of the nanofluids were characterized. The results showed that the DW-based nanofluids were more stable than their SW-based counterparts. Additionally, the 0.05 vol.% DW-based suspension exhibited greater long-term stability than those of the 0.15 vol.% suspensions, whereas the SW-based nanofluid exhibited the opposite behaviour. The greatest increases in thermal conductivity were 3.29% and 3.13% for 0.15 vol.% MWCNTs in DW and SW, respectively. The crystallization process occurred in nanofluids that contained more than 0.05 vol.% MWCNTs and exhibited a greater growth rate in SW-based suspensions with high effervescent agent concentrations.
Repair of parastomal hernias with the intraperitoneal funnel meshes IPST-R and IPST
Authors: Ilgeldiev Semen , Stoeckel Soeren , Dievernich Axel , Schmidt Madeline , Rudolph Hagen , Mirow Lutz 
Published: August 2024

AbstractThe treatment of parastomal hernias (PSH) represents a major challenge in hernia surgery. Various techniques have been reported with different outcomes in terms of complication and recurrence rates. The aim of this study is to share our initial experience with the implantation of the DynaMesh-IPST-R and -IPST, intraperitoneal funnel meshes made of polyvinylidene fluoride (PVDF). This is a retrospective observational cohort study of patients treated for PSH between March 2019 and April 2023 using the chimney technique with the intraperitoneal funnel meshes IPST-R or IPST. The primary outcome was recurrence and the secondary outcomes were intraoperative and postoperative complications, the latter assessed using the Clavien–Dindo classification. A total of 21 consecutive patients were treated with intraperitoneal PVDF funnel meshes, 17 with IPST-R and 4 with IPST. There were no intraoperative complications. Overall, no complications occurred in 61.9% (n = 12) of the patients. Major postoperative complications (defined as Clavien–Dindo ≥ 3b) were noted in four cases (19.0%). During the mean follow-up period of 21.6 (range 4.8–37.5) months, one patient (4.8%) had a recurrence. In conclusion, for the treatment of parastomal hernias, the implantation of IPST-R or IPST mesh has proven to be efficient, easy to handle, and very safe. In particular, the low recurrence rate of 4.8%, which is in line with the current literature, is convincing. However, a larger number of patients would improve the validity of the results.
Comprehensive molecular characterization of collecting duct carcinoma for therapeutic vulnerability
Authors: Guan Peiyong , Chen Jianfeng , Mo Chengqiang , Fukawa Tomoya , Zhang Chao , Cai Xiuyu , Li Mei , Hong Jing Han , Chan Jason Yongsheng , Ng Cedric Chuan Young , Lee Jing Yi , Wong Suet Far , Liu Wei , Zeng Xian , Wang Peili , Xiao Rong , Rajasegaran Vikneswari , Myint Swe Swe , Lim Abner Ming Sun , Yeong Joe Poh Sheng , Tan Puay Hoon , Ong Choon Kiat , Xu Tao , Du Yiqing , Bai Fan , Yao Xin , Teh Bin Tean , Tan Jing 
Published: August 2024

AbstractCollecting duct carcinoma (CDC) is an aggressive rare subtype of kidney cancer with unmet clinical needs. Little is known about its underlying molecular alterations and etiology, primarily due to its rarity, and lack of preclinical models. This study aims to comprehensively characterize molecular alterations in CDC and identify its therapeutic vulnerabilities. Through whole-exome and transcriptome sequencing, we identified KRAS hotspot mutations (G12A/D/V) in 3/13 (23%) of the patients, in addition to known TP53, NF2 mutations. 3/13 (23%) patients carried a mutational signature (SBS22) caused by aristolochic acid (AA) exposures, known to be more prevalent in Asia, highlighting a geologically specific disease etiology. We further discovered that cell cycle-related pathways were the most predominantly dysregulated pathways. Our drug screening with our newly established CDC preclinical models identified a CDK9 inhibitor LDC000067 that specifically inhibited CDC tumor growth and prolonged survival. Our study not only improved our understanding of oncogenic molecular alterations of Asian CDC, but also identified cell-cycle machinery as a therapeutic vulnerability, laying the foundation for clinical trials to treat patients with such aggressive cancer.
Knowledge, Beliefs, and Experiences With Mental Health Services and Help-Seeking in People With Aphasia and Care Partners
Authors: Kelleher Kate , Obermeyer Jessica , Crutchley Sena , Stalker Sage , Silverman Maura , Morrow-Odom K. Leigh 
Published: August 2024

Purpose:
Supporting psychological well-being in persons with aphasia (PWA) can improve social and health outcomes; however, PWA and their care partners (CPs) are often not receiving mental health support. Previous research explores this from the perspective of health care professionals.

Aims:
The aim of this study was to examine knowledge, beliefs, and experiences related to mental health services directly from PWA and CPs.

Method:
The study included 11 PWA and 11 CPs. Participants completed a guided survey (virtual) with opportunities for elaboration related to the knowledge, beliefs, and experiences of mental health.

Results:
There was variability in personal preferences for referrals, types of coping strategies, and confidants for general thoughts and feelings and those specific to aphasia. PWA identified health care professionals as people to share thoughts and feelings, whereas CPs chose family and friends more often. Both CPs and PWA reported communication difficulty and finding a counselor as “sometimes” preventing access to services but cited fear and trust as “always” preventing access.

Conclusions:
Knowledge, beliefs, and experience with help-seeking and mental health services are personal and variable. Assessing barriers unique to living with aphasia, such as communication challenges and locating a suitable counselor, must also be considered within more complex and personal barriers of fear and trust that are consistently reported in the general public. Health professionals across the continuum of aphasia care need to understand the communication challenges of living with aphasia in tandem with understanding individual differences to personalize approaches to mental health services and help-seeking.
Identification of partial discharge source in shunt reactor and evaluation of its benefits
Authors: Miyazaki Satoru , Kuraishi Takashi , Takahashi Tsuguhiro 
Published: August 2024

AbstractIn recent years, the “asset management” or “managing assets” technique has been expected to support the rationalization of the maintenance and operation of electric power equipment, especially as a countermeasure for aging equipment. For this purpose, the development of diagnostic methods for aging, remaining life, and faults is necessary. Furthermore, it is important to accumulate case studies applying such diagnostic methods to real equipment and the analysing benefits of the applications of the diagnostic methods. In this report, frequency response analysis and a partial discharge measurement are applied to a shunt reactor suspected of occurrence of partial discharge. Results of the diagnostic methods suggest the breakage of the earth bar connecting the iron‐core blocks and the occurrence of the partial discharge at the iron core. From these diagnostic findings, the shunt‐reactor operator decided to postpone the replacement for 2 years, compared with the case where no diagnostic methods were applied. In this report, the benefits of deciding the postponement is also evaluated.
Anatomical Guidelines and Technical Tips for Neck Aesthetics with Botulinum Toxin
Authors: Hu Hyewon , Kim Soo-Bin , Wan Jovian , Chan Lisa Kwin Wah , Lee Alvin Kar Wai , Sydorchuk Olena , Jalali Arash , Corrêa Mariana César , Kim Jong-Seo , Yi Kyu-Ho 
Published: August 2024

AbstractBotulinum toxin can be used for various purposes to enhance neck aesthetics, addressing concerns such as platysmal bands, optimizing the cervicomental angle, preventing worsening of horizontal neckline and decolletage lines during aging, submandibular gland hypertrophy, and hypertrophied superior trapezius muscle. Understanding the anatomy of muscles such as the trapezius, platysma, and submandibular gland is crucial for achieving desirable outcomes with botulinum toxin administration. Techniques for injecting botulinum toxin into these muscles are discussed, emphasizing safety and efficacy. Specific injection points and methods are detailed for treating platysmal bands, optimizing the cervicomental angle, addressing submandibular gland hypertrophy, and managing hypertrophied superior trapezius muscle. Careful consideration of anatomical landmarks and potential complications is essential for successful botulinum toxin injections in these areas.
Collaborative enhancement of concrete performance: integrating sugarcane bagasse ash and iron ore tailing using artificial neural networks
Authors: Krishna Yelisetty Murali , Dhevasenaa P R , Srinivasan G , Satish Kumar Ch N 
Published: August 2024

Abstract
The aim of this study is to utilize Artificial Neural Networks to predict the compressive strength of concrete. The cement component is replaced with Sugarcane bagasse ash, the sand component is replaced with Iron Ore tailings, and a combination of both Sugarcane bagasse ash and Iron Ore tailings is used as substitutes for cement and sand. The strength of the concrete is evaluated after curing periods of 7, 14, and 28 days through experimental analysis. The Artificial Neural Networks model is trained using four input parameters and one output parameter based on the collected data. The study incorporates various percentages of Sugarcane bagasse ash (ranging from 0% to 25%) and Iron Ore tailings (ranging from 0% to 50%), as well as combinations of Sugarcane bagasse ash of various percentages with 10% Iron Ore tailings. The predictions generated by the Artificial Neural Networks model demonstrate a strong correlation with the experimentally obtained data. These findings highlight the effectiveness of Artificial Neural Networks as a predictive model for determining the strength of concrete that incorporates industrial by-products as substitutes for cement and sand.
Performance Evaluation of Concrete with Replacement of Pumice and M-Sand: A Comprehensive Analysis
Authors: Sai Kumar K.S. , Greeshma P. , Rambabu K G S V , Pavan Kumar J 
Published: August 2024

Abstract
Since there is a deficit of raw materials available for construction, concrete is essential in designing concrete structures in the modern world. As a result, the construction sector is now familiar with cutting-edge techniques that utilize waste material that is readily available for partial replacement by substituting alternative aggregates for regular aggregates. In this study, pumice stone located in the lowest section of the ocean or the abyss of red clay is utilized in place of concrete, with a replacement in a portion made of pumice mixed with cement. Concrete’s mechanical and physical durability was examined by measuring its Split and compressive strengths of ordinary concrete and substituting it with varying quantities of pumice (10% to 30%). M sand is entirely replaced in fine aggregate. From the previous studies, it shows the 50% of Coarse aggregate replacement and here we investigate how well partial pumice substitutions for coarse aggregate and M sand substitutions of fine aggregate can gain sufficient strength. Based on the experimental results, the current thesis compares the properties of conventional and replaced concrete for the various percentages of pumice stone replacement to coarse aggregate. It concludes that a 25% partial replacement by pumice yields the maximum compressive strength. We also studied the durability parameters in the present paper.
Predicting the Compressive Strength of Concrete by using Machine Learning Techniques
Authors: Bandaru Mary Devika , Kyle Suseela , Priyadarshini Tallapudi Indira , Prasad Bokka Durga Vara , Sai Ungarala Ganesh 
Published: August 2024

Abstract
Considerable efforts have been made to increase the strength of concrete by substituting some of the cement in the concrete with industrial waste, such as fly ash. Predicting the compressive strength of concrete, however, is a difficult undertaking since it depends on a number of elements, including the water-to-cement ratio and the size and form of the particles. The work on machine learning algorithms for Evaluating the strength of concrete with the inclusion of fly ash is presented in this publication. In order to determine the most accurate estimation technique, the study also compares the accuracy of various machine learning models, including ensemble models and non-ensemble models in predicting CS. For this purpose, a dataset with a diverse set of experimental findings, encompassing a broad spectrum of compressive strength values, was gathered from established literature and verified through statistical scrutiny. The amounts of cement, fine aggregate, coarse aggregates, fly ash, water content, percentage of superplasticizer, and curing days were the main input parameters for the ML models, while the output was the CS of concrete. The assessment of performance involved the utilization of various performance metrics, including MSE & R2 to assess accuracy and reliability. The comparison reveals that XGBoost Regressor, Bagging Regressor, and Random Forest are the most reliable models. Fly ash and other parameters’ effects on CS prediction were also fully understood thanks to the use of sensitivity and parametric analysis, which also helped to shed light on the relationship between input parameters and CS. The efficiency of machine learning methods is demonstrated in the study. It eliminates the need for expensive and time-consuming experimental experiments by providing researchers with a quicker and more economical way to assess how fly ash and other factors affect CS estimation.
Effect of slag on mechanical and microstructural properties of fly ash-based geopolymer concrete containing recycled aggregate
Authors: Singh Rudra Pratap , Mohanty Bijayananda 
Published: August 2024

Abstract
In India, major cities have aged infrastructures that produce significant construction and demolition (C&D) waste. This trash has an adverse impact on the environment and poses challenges for disposal. To address the same, recycled aggregates (RA) are considered in place of natural aggregates (NA), and geopolymer binders, namely fly ash (FA) and slag, are used as sustainable alter to ordinary Portland cement (OPC) for the preparation of geopolymer concrete (GPC) at ambient curing condition. In this study, the engineering and permeability characteristics of GPC were examined using compressive strength, tensile strength, and water permeability. Further, the microstructural properties of the prepared mixes were assessed by adopting X-ray diffraction (XRD) and scanning electron microscopy (SEM) analysis. The test results revealed that the blended mixing of FA and slag enhanced the mechanical and water permeability properties of GPC. The highest compressive and tensile strength is 37.65 MPa and 5.06 MPa at 28 days curing period at an optimum mix of F70S30, 10M NaOH, and Na2SiO3 to NaOH of 2.0. At the same time, the minimum water penetration depth was measured as 11 mm. Thus, adding 30% with FA accelerated the reaction mechanism, densified the GPC matrix, and enhanced strength.
Studies on Performance of the Treated Recycled Concrete Coarse Aggregate in High-Strength Concrete
Authors: Kadarla Nayanasree , Siempu Rakesh , Murali Krishna B. 
Published: August 2024

Abstract
The rapid growth in population and urbanization is resulting in the ever-increasing demand for built infrastructure thereby the concrete across the world. Demolition of the old and deteriorated concrete structures has also been increasing day-by-day resulting in generation of enormous amounts of Construction and Demolition (C & D) waste posing severe threat to the environment urging for immediate action. Hence, there is a need to convert this waste into a useful material in order to reduce environmental impact caused by the C & D waste. Also, the use of this C & D waste in concrete can reduce the dependence on the natural materials like river sand for fine aggregate and crushed granite for coarse aggregate resulting in conservation of natural resources leading to sustainable construction. This present study focuses on effective utilization of the C and D waste in concrete. In order to overcome the deficiency of reduction in mechanical properties of concrete by using recycled aggregates, aggregate treatment techniques have been adopted in this present study focussing on improving the aggregate properties. In the present study, aggregate treatment techniques viz., acid treatment (using HCl), base treatment (using NaOH) and mechanical treatment techniques were employed for coarse aggregate. The aggregate properties like water absorption, specific gravity, bulk density, resistance to abrasion, impact, and crushing values were determined. When compared to the natural aggregates, the deteriorated properties of recycled aggregates were significantly improved upon treatment using the different techniques. The treated recycled coarse aggregates have been used in two different grades of concrete i.e. M30 (standard strength) and M65 (high-strength concrete) with 100% replacement for natural aggregate. With this treated recycled coarse aggregate, the concrete properties (hardened state) were also significantly improved when compared to that of untreated recycled aggregate concrete.
Flood Routing in BVRIT Narsapur campus using Software Applications on Sustainable water resources management
Authors: Supraja Ambati , Rao Samanasa Krishna , Vamsi Thota , Prasanthi Petluru , Parvez Shaik , Jhansi Kothapally 
Published: August 2024

Abstract
Engineers and Hydrologists study flood routing to analyze the channel or cross- section factor if it is flooded with certain event opportunities and also to design and manage water resources effectively, such as in construction of Irrigation systems, flood control methods and water distribution networks. Open channel refers to any pathway through which a fluid (water subsequently) can flow such as rivers, streams, canals etc. The channel is used to supply water from one place to another place. The channel mainly consists of fluid (rain- water) and also includes vegetation on the surface of the channel such as grass and other plantation. The important aspect is to understand the flood behavior by flood hydrographs during the peak monsoon rains and also to predict the maximum discharge(Q). The major and most important aspect or the outcome we can say for which this project is been taken up is proposal of a new underground drain on a new route through which the flood level can be controlled during peak monsoon rains or in other words we can also say to design more efficient water drains in the campus. Using software applications, we can predict the maximum discharge and also analyze the flow using the technology stack or software’s.
Structural Health Monitoring System to A Bridge Using FSR Sensor Interfaced with Arduino UNO
Authors: Shivaraj S J , Teja Alle Bhanu , Chaitahnya Gaddi , Shashipriya Kura , Varsha Laishetty 
Published: August 2024

Abstract
This paper provides an overview of a project involving a Force-Sensitive Resistor (FSR) sensor interfaced with a programmed Arduino Uno microcontroller for a structural health monitoring system of a bridge prototype. Constructing a flat bridge model, installing the FSR sensor to the flat bridge for measuring the forces applied on the bridge. FSR sensors are widely used for applications such as touch detection, pressure sensing, and force measurement. This article demonstrates how to connect and utilize an FSR sensor with an Arduino Uno for real-time data acquisition and analysis to a bridge. The FSR sensor installed to the bridge model, The FSR sensor, responsive to variations in applied force on the bridge, is linked to one of the analog input pins on the Arduino Uno. The Arduino processes the analog voltage received from the FSR sensor and translates it into a corresponding digital value. This data is then processed and can be used for various applications such as, pressure-sensitive controls, weight measurement and impact detection. The combination of an FSR sensor and an Arduino Uno provides an accessible and versatile platform for integrating force and pressure sensing into various projects.