bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Analysis of the "H"-shaped Symbol from Göbekli Tepe and the Ritual "Binocular-shaped" Ceramics of the Trypillia Culture in Light of Ancient Farmers' Cosmological Beliefs
Authors: Zavalii Oleksandr 
Published: October 2024

This article is dedicated to a comprehensive analysis and interpretation of the sacred "H"-shaped symbolism, which originates from the ancient temple complex of hunter-gatherers and early farmers of the Near East – Göbekli Tepe. The research identifies and analyzes a similar symbol found in the religious complex of ancient farmers in the territory of modern Ukraine, specifically in the Trypillia culture and its ceramic artifacts known as "Trypillia binoculars." A comparative analysis of these symbols is conducted within the context of the cosmological beliefs of early farming societies in Asia and Europe. Special attention is given to interpreting this symbolism as a reflection of complex religious and philosophical concepts related to the cyclicality of nature, the movement of celestial bodies, and the unity of heaven and earth. The research examines the architectural features of Göbekli Tepe, particularly the arrangement of the T-shaped columns, and their potential astronomical purpose. The author hypothesizes a connection between the physical structure of the temple complex, its T-shaped columns, and the formation of abstract "H"-type symbols. Parallels are drawn between the symbolism of Göbekli Tepe and the ritual artifacts of the Trypillia culture, allowing the hypothesis of shared cosmological concepts between various early farming cultures, despite significant geographical and temporal distances. This article offers a new perspective on the development of religious thought in ancient societies, highlighting the depth and complexity of their spiritual ideas. The findings contribute to a better understanding of the cultural connections and exchange of ideas between ancient civilizations of the Near East and Europe.
Statin suppresses the development of excessive intimal proliferation in a Kawasaki disease mouse model
Authors: Motoji Yusuke , Fukazawa Ryuji , Matsui Ryosuke , Watanabe Makoto , Hashimoto Yoshiaki , Nagi‐Miura Noriko , Kitamura Tadashi , Miyaji Kagami 
Published: October 2024

AbstractKawasaki disease (KD) causes vascular injury and lifelong remodeling. Excessive intimal proliferation has been observed, resulting in coronary artery lesions (CALs). However, the mechanisms underlying vascular remodeling in CAL and statin treatment have not been comprehensively elucidated. This study aimed to investigate the effects of statins on vascular remodeling using a KD mouse model. Candida albicans water‐soluble substance (CAWS) was intraperitoneally injected in 5‐week‐old male apolipoprotein‐E‐deficient mice. They were categorized as follows (n = 4): control, CAWS, CAWS+statin, and late‐statin groups. The mice were euthanized at 6 or 10 weeks after injection. Statins (atorvastatin) were initiated after CAWS injection, except for the late‐statin group, for which statins were internally administered 6 weeks after injection. Elastica van Gieson staining and immunostaining were performed for evaluation. Statins substantially suppressed the marked neointimal hyperplasia induced by CAWS. Additionally, CAWS induced TGFβ receptor II and MAC‐2 expression around the coronary arteries, which was suppressed by the statins. KD‐like vasculitis might promote the formation of aneurysm by destroying elastic laminae and inducing vascular stenosis by neointimal proliferation. The anti‐inflammatory effects of statins might inhibit neointimal proliferation. Therefore, statin therapy might be effective in adult patients with KD with CAL by inhibiting vascular remodeling.
Genetic algorithm-assisted fuzzy clustering framework to solve resource-constrained project problems
Authors: Ji Yangyang 
Published: October 2024

Abstract
Resource-constrained problems for technology-based applications/services are common due to pervasive utilization and in-definite user/demand densities. Traditional resource allocation methods consume high allocation time and make it difficult to predict the possible solutions from the collection of resources. Various range of solutions through optimizations are provided for addressing the issues that, however, result in imbalanced solutions. This article assimilates genetic algorithm (GA) and fuzzy clustering process and introduces resource-constrained reduction framework. The proposed framework utilizes a GA for mutating the allocation and availability possibilities of the resources for different problems. The possibilities of solutions are tailored across various demands preventing replications. Post this process, the fuzzy clustering segregates the optimal, sub-optimal, and non-optimal solutions based on the mutation rate from the genetic process. This reduces the complexity of handling heterogeneous resources for varying demand, user, and problem densities. Based on the clustering process, the crossover features are tailored across multiple resource allocation instances that mitigate the existing constraints. This proposed framework improves the problem-addressing ability (11.44%) and improves resource allocation (8.08%), constraint mitigation (11.1%), and allocation time (11.85%).
A comprehensive review of metasurface-assisted direction-of-arrival estimation
Authors: Huang Min , Li Ruichen , Zou Yijun , Zheng Bin , Qian Chao , Jin Hui , Chen Hongsheng 
Published: October 2024

Abstract
Direction of arrival (DoA) estimation is a key research focus in array signal processing, and numerous progressive direction-finding algorithms have already been developed. In terms of the development of algorithms, metasurfaces can help innovate traditional estimation algorithms as an excellent alternative to phased arrays. New types of artificial intelligence continue to impact traditional algorithms as well as the detection of the incoming wave direction. Miniaturized and integrated incoming wave estimation devices suitable for various systems have become a significant trend in hardware implementation. In this study, the latest progress and trends in this emerging field are reviewed, and their potential value is assessed. First, a brief overview of a combination of classical DoA algorithms and metasurface is presented. Based on this, the applications of common subspace and sparse representation methods were surveyed, followed by a discussion of their potential prospects. The use of artificial intelligence combined with metasurfaces to innovate DoA detection is discussed. Finally, challenges and opportunities for advancing metasurfaces and artificial intelligence in this frontier field are discussed.
Advancing resource sustainability with green photothermal materials: Insights from organic waste-derived and bioderived sources
Authors: Zargarian Seyed Shahrooz , Zakrzewska Anna , Kosik-Kozioł Alicja , Bartolewska Magdalena , Shah Syed Ahmed , Li Xiaoran , Su Qi , Petronella Francesca , Marinelli Martina , De Sio Luciano , Lanzi Massimiliano , Ding Bin , Pierini Filippo 
Published: October 2024

Abstract
Recently, there has been a surge of interest in developing new types of photothermal materials driven by the ongoing demand for efficient energy conversion, environmental concerns, and the need for sustainable solutions. However, many existing photothermal materials face limitations such as high production costs or narrow absorption bands, hindering their widespread application. In response to these challenges, researchers have redirected their focus toward harnessing the untapped potential of organic waste-derived and bioderived materials. These materials, with photothermal properties derived from their intrinsic composition or transformative processes, offer a sustainable and cost-effective alternative. This review provides an extended categorization of organic waste-derived and bioderived materials based on their origin. Additionally, we investigate the mechanisms underlying the photothermal properties of these materials. Key findings highlight their high photothermal efficiency and versatility in applications such as water and energy harvesting, desalination, biomedical applications, deicing, waste treatment, and environmental remediation. Through their versatile utilization, they demonstrate immense potential in fostering sustainability and support the transition toward a greener and more resilient future. The authors’ perspective on the challenges and potentials of platforms based on these materials is also included, highlighting their immense potential for real-world implementation.
Diagnostic value of cardiac marker concentrations in patients with heart failure depending on frailty syndrome
Authors: Safronenko V. A. , Chesnikova A. I. , Korobka V. L. 
Published: October 2024

Aim. To evaluate the diagnostic value of the serum level of N-terminal pro-brain natriuretic peptide (NT-proBNP), soluble growth stimulation expressed gene 2 (sST2) and galectin-3 to detect heart failure (HF) in patients with hypertension (HTN) aged 80 years and older depending on frailty syndrome (FS).Material and methods. A total of 320 patients with HTN depending on the presence of HF and FS were divided into following groups: group 1A — patients with HTN, FS and HF (n=84), group 1B — patients with HTN, FS without HF (n=77), group 2A — patients with HTN, HF without FS (n=84), group 2B — patients with HTN without HF and without FS (n=75). FS was identified using the Age Is No Disqualification questionnaire. The serum levels of NT-proBNP, sST2 and galectin-3 were determined by the enzyme immunoassay. ROC analysis was used to determine the threshold value of the markers.Results. In patients of group 2B, NT-proBNP concentrations were below the threshold level (<125 pg/ml), while the sST2 level was within the average normal values; the galectin-3 concentration was increased. In group 1B, elevated levels of NT-proBNP (244,5 pg/ml) and galectin-3 (16,1 ng/ml) were observed. The highest values of all three markers were recorded in patients of group 1A in comparison with both patients of group 1B and patients of group 2A. To diagnose heart failure in patients with HTN without FS aged 80 years and older, the threshold level of galectin-3 was determined (15,9 ng/ml, p<0,001). In patients with HTN and FS, the threshold level of NT-proBNP (365,9 pg/ml, p<0,001) and galectin-3 (30 ng/ml, p<0,001) was calculated.Conclusion. For the diagnosis of HF in patients with HTN aged 80 years and older without FS, the most informative markers are NT-proBNP and sST2 (the level did not depend on age); in patients with HTN aged 80 years and older with FS — sST2 (the level did not depend on either age or FS). New threshold levels of NT-proBNP and galectin-3 were determined to confirm HF in patients with HTN and FS.
Deciphering millennial managers' fear of better options: A study on managerial decision-making in complex environments
Authors: Deogaonkar Anant , Vaidya Rajesh , Vichoray Chandan , Paralkar Tejasvini , Joshi Rijuta 
Published: October 2024

This study aims to explore the extent of Fear of Better Options (FOBO) experienced by millennial managers in an organization concerning technology and the time frame needed to decide on as latent factors impacting FOBO. This study also explored the interdependencies of the factors concerning the level of FOBO. Data was collected through structured questionnaires and interview responses received from 216 millennial managers. Latent class analysis and multinomial logistic regression were used for data analysis. The results indicate that millennial managers are facing the fear of better options (FOBO) and the extent of FOBO is impacted by the use of technology and time frame to decide on latent factors. Fear of better options (FOBO) is being faced by millennial managers. The extent of FOBO depends on the time available to make a decision and the use of technology in decision-making. This study is a contribution to the human resource management field by understanding the effects of FOBO on millennial generation managers. The findings serve as a guideline for enhancing managerial decision performance. Organizations ought to develop a mechanism to manage the fear of better options being faced by managers.
Understanding Factors Responsible for Delay and Non-Compliance in COVID-19 Vaccination at a Tertiary Care Hospital in Mumbai, India
Authors: C Miranda Roshni , Patil Girijaprasad , D Chate Priyanka 
Published: October 2024

Background: Despite extensive first-dose coverage, delays in second doses and late first doses prompted a study on vaccine hesitancy and non-compliance.
Methods: In 2022, a cross-sectional survey was conducted at a Mumbai vaccination center, involving 504 individuals who had received either the first or second dose of the COVID-19 vaccine. The study, conducted from February to April 2022, included interviews using a pre-validated schedule to assess vaccine acceptance, refusal, socio-demographics, and reasons for hesitancy. Data analysis was performed using IBM SPSS Statistics software 23.0 to understand factors influencing vaccine delay and non-compliance.
Result: The study interviewed 504 participants at a Mumbai vaccination center. Most were male (63.9%), aged 18-44 (80%), and skilled workers (22.6%). Of those surveyed, 64 had received only the first vaccine dose. The delay in receiving the second dose was 37.4% for BBV152 and 41% for ChAdOx1 nCoV-19. The primary reason for delay was lack of time (50.6%), followed by fear of the vaccine (14.8%). Reasons for getting vaccinated later included resolving constraints (40.5%) and compulsion (25.8%). Vaccine choice reasons varied significantly (p < 0.0005), but delay proportions were similar across vaccines (p = 0.531).
Conclusion: Even after many efforts by the government, large numbers of people have not taken vaccine on time. One of the reasons, as seen in the study is a busy work schedule which has hindered timely vaccination in individuals. Making vaccine available at work place may address this issue to some extent, besides ownership of the program by the public.
Analyzing the precision and readability of a healthcare focused artificial intelligence platform on common questions regarding breast augmentation
Authors: Boyd Carter J. , Perez Rivera Lucas R. , Hemal Kshipra , Sorenson Thomas J. , Amro Chris , Choi Mihye , Karp Nolan S. 
Published: October 2024

Aim: The purpose of this study was to determine the quality and accessibility of the outputs from a healthcare-specific artificial intelligence (AI) platform for common questions during the perioperative period for a common plastic surgery procedure.
Methods: Doximity GPT (Doximity, San Francisco, CA) and ChatGPT 3.5 (OpenAI, San Francisco, CA) were utilized to search 20 common perioperative patient inquiries regarding breast augmentation. The structure, content, and readability of responses were compared using t -tests and chi-square tests, with P < 0.05 used as the cutoff for significance.
Results: Out of 80 total AI-generated outputs, ChatGPT responses were significantly longer (331 vs. 218 words, P < 0.001). Doximity GPT outputs were structured as a letter from a medical provider to the patient, whereas ChatGPT outputs were a bulleted list. Doximity GPT outputs were significantly more readable by four validated scales: Flesch Kincaid Reading Ease (42.6 vs. 29.9, P < 0.001) and Flesch Kincaid Grade Level (11.4 vs. 14.1 grade, P < 0.001), Coleman-Liau Index (14.9 vs. 17 grade, P < 0.001), and Automated Readability Index (11.3 vs. 14.8 grade, P < 0.001). Regarding content, there was no difference between the two platforms regarding the appropriateness of the topic (99% overall). Medical advice from all outputs was deemed reasonable.
Conclusion: Doximity’s AI platform produces reasonable, accurate information in response to common patient queries. With continued reinforcement learning with human feedback (RLHF), Doximity GPT has the potential to be a useful tool to plastic surgeons and can assist with a range of tasks, such as providing basic information on procedures and writing appeal letters to insurance providers.
A Robust and Efficient Hybrid Classification Model for Early Diagnosis of Chest X-Ray Images of COVID-19
Authors: Shanshool Abeer M. 
Published: October 2024

لقد كانت هناك جائحة كوفيد-19 منذ ديسمبر 2019، ويتطلب العلاج الطبي الناجح لمرضى كوفيد-19 تشخيصًا سريعًا ودقيقًا. تتطلب مكافحة جائحة كوفيد-19 نظامًا آليًا يستخدم التعلم بالانتقال العميق لتشخيص الفيروس باستخدام الأشعة السينية على الصدر (CXR). يتم استخدام CXR بشكل متكرر في الرعاية الصحية لأنها توفر إمكانية التشخيص السريع والدقيق للأمراض. تتضمن أنظمة التشخيص الآلي بمساعدة الكمبيوتر (CAD) التعلم الآلي أو التعلم العميق لتعزيز الكفاءة والدقة، وبالتالي تقليل المشكلات المستقبلية. يمكن استخدام العديد من أنظمة الذكاء الاصطناعي القائمة على التعلم العميق للتشخيص؛ ومن بين أكثر هذه الشبكات استخدامًا شبكة CNN، التي تم تطويرها لأول مرة وأظهرت دقة مشجعة في تحديد المرضى المؤكد إصابتهم بفيروس كوفيد-19 باستخدام صور CXR. ومن خلال استخدام صور الأشعة السينية، سيعمل هذا العمل على تصميم التعلم الآلي والتعلم العميق لتوفير تشخيص أسرع لعدوى كوفيد-19. ونتيجة لذلك، تستخدم تقنية التعلم بالنقل العميق نموذجًا موجودًا أولاً، ثم تطبق البيانات المطلوبة عليه مرة أخرى. حيث تم استخدام نموذج التعلم Densenet201transfer، وهو أحد تقنيات التعلم عن بعد، كاستخراج الميزة ودمجها مع خوارزمية الإدراك الحسي متعدد الطبقات؛ تم تطبيق هذه التقنية على مجموعة بيانات تابعة للمعهد الوطني للصحة (NIH)، حيث تم استخدام العديد من مقاييس الأداء مثل الدقة والدقة والنوعية والحساسية، حيث أثبتت التجربة كفاءة الخوارزمية المستخدمة من حيث الدقة بنسبة 98.82 %. تعتبر هذه النتائج مشجعة عند مقارنتها بنماذج التعلم عن بعد الأخرى التي تم تدريبها على مجموعة البيانات المماثلة
The Fabrication of SeO2 Nanoparticles from Cinnamon extract: Optical properties and its application
Authors: Rahi Saad Khalid Rahi , Al-Wardy Rusul Adnan , Al Ogaili Hanan Abd Ali Thjeel 
Published: October 2024

حظي التصنيع الحيوي للجسيمات النانوية باهتمام واسع النطاق بسبب فوائده مثل البساطة والملائمة للبيئة والسرعة والفعالية من حيث التكلفة. تم تصنيع جسيمات السيلينيوم النانوية SeO2NPs) باستخدام مستخلصات لحاء القرفة ((CVBE ورباعي كلوريد السيلينيوم. في هذه الدراسة ,تم استخدام تقنيات XRD و TEM و UV و FTIR لتوصيف SeO2 NPs المُصنَّع بيولوجيًا, البنية البلوريه لها تكون سداسية كما يتضح من نتائج الاشعه السينية . تم تحقيق الحجم البلوري حوالي 24.5 نانومتر وأظهرت صورة TEM أن قطر SeO2 كان أقل من 100 نانومتر بشكل كروي وشبه كروي. كان تأثير SeO2 على مضادات الفطريات وأنواع مختلفة من البكتيريا موضوع هذا البحث. SeO2 كمثبط لنشاط المكورات العنقودية مقابل 23 ملم ونشاط المكورات العنقودية الذهبية مقابل 21 ملم ، وكذلك العزلات المضادة للفطريات 18 ملم ، والتي كانت أكثر فعالية من البكتيرية Klebsiella Sp. والإشريكية القولونية.
The Impact of VDR-FokI Polymorphism in Iraqi Patients with Prostate Cancer and Prostate Benign Hyperplasia.
Authors: Amer Almukhtar Asmaa , Hassan Alwan Al Obaidy Luma , Mohammed Ali Amal 
Published: October 2024

استخدم تعدد الطرز الوراثية لمورث مستقبل فيتامين د عند الموقع FokI لتقييم تاثيرتعدد الطرزالرواثية على مستويات فيتامين د وهرمون الذكورة وهرمون الحليب في امصال مرضى سرطان البروستات وتضخم البروستات الحميد مقارنة بالأفراد الأصحاء. تم تضخيم موقع الحصر FOKI لمورث مستقبل فيتامين د باستخدام تقنية TaqMan RT-PCR وجد أن الطراز الوراثيTT له تأثير حماية من الاصابة بسرطان البروستات وتضخم البروستات الحميد بنسبة 70% و50 % على التوالي، في حين كان الطراز الوراثي CC مرتبطا 100% بكل من سرطان البروستات و تضخم البروستات الحميد و لم يكن توزيع الطرز الوراثية TT و TC و CC متسقًا مع معادلة هاردي واينبرغ في مرضى سرطان البروستات حيث ظهر فرق معنوي بين القيم الملاحظة والمتوقعة باختبارمربع كاي عند مستوى معنوية P ≥0.05. ، و لم تظهر هذه الاختلافات في المرضى الذين يعانون من تضخم البروستات الحميد أو مجموعة السيطرة. بينم اتأثر مستوى فيتامين د بالطراز الوراثي CC لـمستقبل فيتامين د - FOKI بشكل ملحوظ في مرضى سرطان البروستات مقارنة بمستوياته في الطرز الوراثية TT وTC . ولم يكن هناك اختلاف في مستوى فيتامين د بين الطرز الوراثية الثلاثة في مرضى BPH ومجموعة السيطرة الاصحاء. لم تظهر الطرز الوراثية تأثيرا على مستويات هرموني الذكورة والحليب بين المجموعات المدروسة. ويمكن الاستنتاج أن تأثيرتعدد الطرز الوراثية لمستقبل فيتامين د- FOKI مرتبط بمرضى سرطان البروستات العراقيين أكثر من تضخم البروستات الحميد مع نقص فيتامين د في مصل الدم.
Distributional Effects of the Ice Road–Climate Nexus and Their Economic Implications
Authors: Adjei Eugene , Ahmed Fatma , Zapata Oscar , Poelzer Greg 
Published: October 2024

Abstract

Estimating the ice road–climate nexus and its associated future outcomes are complicated by the heterogeneity in ice road operation days, climate thresholds, and ice road networks. Here we use, for the first time, a spatially filtered unconditional quantile method that explicitly accounts for ice road distributions, thresholds, and spatial attributes to determine the impact of climate factors on ice road operation days in the Northwest Territories. Subsequently, we use the regression estimates and bias-adjusted CMIP5 climate models to project ice road operation days under two different climate scenarios (RCP4.5 and RCP8.5) and estimate their economic impacts. We find that climate factors significantly affect the ice road operation days, especially in the lower and median quantiles. When we use the lower quantile (62 days of historical ice road operations) as a reference, ice road operations decrease to 59 days (RCP4.5) and 53 days (RCP8.5) in the near future (2021–2040). In the medium future (2041–2060), ice road operations decrease to 47 days (RCP4.5) and 43 days (RP8.5). In the far future (2061–2070), ice road operations decrease to 35 days (RCP4.5) and 31 days (RCP8.5). Our simulations suggest that these reduced future ice road operation days adversely affect the local economy and translate into reduced salaries and employment. Our results emphasize implementing stringent climate mitigation policies to alleviate the consequences of reduced ice road operations in the future.