bluuebunny/crossref_metadata_2025 huggingface dataset:
Riverfront Development for Rejuvenation of Morna River as a Public Realm, Akola
Authors: Bhatia Prof. Kuldeep K. , Paithankar Prof. Tushar , Alset Pawan Rajendra
Published: July 2023

Abstract: This abstract discusses riverfront development as a method of revitalizing the Morna River and transforming it into a lively public domain. The Morna River, which flows through Akola, Maharashtra has long been neglected and degraded, resulting in a decrease in its ecological health and potential as a recreational and cultural resource. The proposed riverside development intends to solve these issues by taking a comprehensive strategy that incorporates environmental, social, and economic factors. The project aims to create an engaging and sustainable public realm along the riverbanks, with a variety of services and activities for both inhabitants and tourists.
Bariatric Surgery Alters the Postprandial Recovery From Hypoglycemia, Mediated by Cholinergic Signal
Authors: Salehi Marzieh , Tripathy Devjit , Peterson Richard , Honka Henri , Pezzica Samantha , DeFronzo Ralph , Gastaldelli Amalia
Published: July 2023

Roux-en-Y gastric bypass (GB) and sleeve gastrectomy (SG) surgeries increase prandial insulin and glucagon secretion but reduce the endogenous glucose production (EGP) response to hypoglycemia in comparison with control subjects who had not undergone gastric surgery (CN), suggesting that parasympathetic nervous system (PNS) plays a role. Here, we investigated the effect of acute PNS blockade on the post-meal counterregulatory response to insulin-induced hypoglycemia in GB and SG compared with CN. Glucose kinetics and islet cell secretion were measured in nine subjects without diabetes with GB and seven with SG and five CN during hyperinsulinemic-hypoglycemic clamp (∼3.2 mmol/L) combined with meal ingestion on two separate days with and without intravenous atropine infusion. Glucose and hormonal levels were similar at baseline and during steady-state hypoglycemia before meal ingestion in three groups and unaffected by atropine. Atropine infusion diminished prandial systemic appearance of ingested glucose (RaO) by 30%, EGP by 40%, and glucagon response to hypoglycemia by 90% in CN. In GB or SG, blocking PNS had no effect on the RaO or meal-induced hyperglucagonemia but increased EGP in SG without any effect in GB (P < 0.05 interaction). These findings indicate that cholinergic signal contributes to the recovery from hypoglycemia by meal consumption in humans. However, bariatric surgery dissipates PNS-mediated physiologic responses to hypoglycemia in the fed state.

Article Highlights

Rerouted gut after Roux-en-Y gastric bypass (GB) and, to a lesser degree, after sleeve gastrectomy (SG) leads to larger glucose excursion and lower nadir glucose, predisposing individuals to hypoglycemia. Despite prandial hyperglucagonemia, endogenous glucose production response to hypoglycemia is reduced after GB or SG. Parasympathetic nervous system (PNS) activity plays a key role in regulation of glucose kinetics and islet cell function. We examined the effect of acute PNS blockade on counterregulatory glucose and islet cell response to meal ingestion during insulin-induced hypoglycemia among GB, SG, and control subjects who had not had gastric surgery. Our findings demonstrate that cholinergic signal is critical in the recovery from hypoglycemia by meal ingestion in humans who have not had gastric surgery, although prandial PNS-mediated physiologic responses to hypoglycemia are differentially changed by GB and SG.
Information Fusion Technology-based Approach to Mining Civic Political Elements in College Curriculum
Authors: Jin Wei
Published: July 2023

The excavation and sorting out of the thinking political elements of college courses directly determines the transmission content, promotion mode, and final effect of the course thinking political. In order to study the role of information fusion technology in the excavation of Civic Science elements in college courses, this paper investigates the current situation of college course Civic Science construction and practices the method of excavating Civic Science elements by information fusion with the help of specific course examples. From the results, both courses have achieved good results. Regarding the mining effect, 56.2% of the students in the first course thought the effect was obvious, and 54.1% of the students in the second course gave the same evaluation. Students who thought the effect was very bad were 3.5% for the first course and 2.8% for the second course. Compared with the research results, the students who think the effect is very good in a comprehensive view have relatively increased by 21.74%, and those who think the effect is very poor have relatively decreased by 25%. In terms of the role of Civic Education, there was a significant increase in students’ educational ratings in the classroom after the element mining method with the help of information integration. The average score of students’ ratings for the first course increased by 5.5 points, a 9.12% increase in comparison, with the highest score being 68.5 points. For the second course, the average student rating increased by 5 points, or 7.95%, with the highest score being 69.5. To sum up, the excavation of Civic and Political elements of college courses based on information fusion technology can effectively improve the excavation effect and the nurturing effect of Civic and Political elements, logically associate Civic and Political elements with professional education, organically integrate them in classroom teaching, and provide conceptual support and material guarantee for the positive development of Civic and Political courses.
Programming application of contemporary jewelry design forms based on Grasshopper software
Authors: Zhou Ningrui , Gao Zhu , Mayusoh Chanoknart
Published: July 2023

In recent years, by the influence of social progress and economic development, jewelry customers have continued to expand the demand gap. Today’s requirements for jewelry design are also more stringent than other design work. Excellent design should be a combination of natural beauty, spiritual beauty, and functional beauty. With the development of the computer industry and the advent of the information age, the design industry has undergone radical changes, and the way of design realization is gradually divided into hand-drawn design and computer-aided design. Although the hand-drawn design is beautiful and free, it is inaccurate and time-consuming. Computer-aided design is fast, accurate, and efficient, and the effect is real and fantasy, which is an important way to improve designers’ design efficiency. In order to address the problem of missing design results due to the weakness of details in the construction of 3D models in the original jewelry 3D design method. In this paper, the Grasshopper parametric design platform is used to prepare a program for the rapid modeling of spatial grid structures, and the details of how the program converts architectural models into SAP2000 structural analysis models are presented. Considering the large amount of work required to construct the surface cells for load application, a secondary masking program based on azimuth calculation is developed further to improve the modeling efficiency and universality of the program. Through an engineering example application, the effectiveness and practicality of the fast modeling program for spatial grid structures are verified, which provides a reference for structural engineers to develop similar programs to improve the modeling and analysis efficiency of complex structures and complete the programming application of contemporary jewelry design forms of Grasshopper software.
Optimization of the quality management path of physical education teaching in colleges and universities integrating modern network technology
Authors: Ou Zhihua , Xie Xiaoxin
Published: July 2023

Since the 21st century, with the rapid development of network information technology, network technology has begun to be widely used in education. Seizing the opportunity of developing new generation information network technology, establishing a broad coverage education informatization system, strengthening the construction and application of network teaching resource system, and accelerating the development and sharing of high-quality educational resources are the current development goals of education informatization. The open sharing platform of physical education curriculum resources based on MOOC network is an important way to “promote the construction, popularization, and sharing of high-quality physical education resources”. The open-sharing platform of teaching course resources based on MOOC network construction and application has increased access to course resources by 10%. It can promote the exchange and sharing of high-quality teaching resources among universities, realize inter-college cooperation and optimal integration of resources, enrich physical education course resources, and promote the overall improvement of the teaching environment. Furthermore, such improvement in physical education teaching mode improves students’ interest, promotes overall physical education development, guarantees the quality of course teaching, and finally enhances the overall teaching level of the school.
Research on Information Literacy Education Model in the Big Data Environment - A Case Study of six Hainan high school Libraries
Authors: Wang Xiaohui , Ye Huiwen
Published: July 2023

Under the overwhealing trend of big data, information literacy is gradually embedded in various applications with broader contents. Due to the new concepts and new technologies, the contents and methods of information literacy education have also changed. In order to further study the mode of information literacy education under the environment of big data, this paper takes six Hainan high school libraries as an example to investigate the students’ understanding level of information literacy education - their perception of the role of information literacy education and their satisfaction with information literacy education. In term of students’ knowledge, 28.25% of students have never heard literacy education, 37.28% have heard but are not sure of the details, and 34.47% know about information literacy education. In terms of students’ perceptions of the role of education, 48.27% thought that information literacy education was important, 48.15% thought that information literacy education was neutral, and 3.58% thought that information literacy education in libraries was not useful at all. In terms of satisfaction, students who are very satisfied, satisfied, and not satisfied with information literacy education is 33.33%, 52.12%, and 14.55% respectively. Our result showed that information literacy education in college libraries still lacks publicity, and developed mulitiple teaching model to attract student attention is necessary. Therefore, we purposed that information literacy education in college libraries should develop diversified publicity based on various media, particular follow the new characteristics of college students’ information acquisition behavior, and expand the scope of information literacy education.
A Systematic Study of Intercultural Listening Strategies in Higher Education Institutions in the Context of Big Data
Authors: Huang Jinyun
Published: July 2023

As society keeps moving forward, intercultural listening strategy is the way to promote international communication skills, and big data technology is needed to provide technical support for intercultural listening strategy in higher education institutions. In this paper, based on the logistic regression algorithm in the context of big data, an intercultural listening strategy model for higher education institutions is established, and the performance of the model is tested in a ten-fold cross-validation experiment, and four indicators are proposed in the intercultural listening strategy model to verify the effectiveness of the model. From the data, the average precision, average recall, average -value, and average -value of the ten sets of test data of the logistic regression model based on big data technology was 77.26%, 77.81%, 77.93%, and 77.56%, respectively, which indicated that all the indicators of the model met the expected performance requirements. From the four example indicators, the mean values of intercultural cognition, intercultural attitude, intercultural behavioral orientation, and listening ability were 58.2%, 60%, 60.61%, and 61.49%, respectively, and overall the higher education institutions had a clear understanding of intercultural listening strategies. The logistic regression model based on big data technology can well analyze the good and bad of current intercultural listening strategies in higher education institutions, and based on the analysis results, we can better improve the deficiencies and then promote the update of intercultural listening strategies in higher education institutions so that students in higher education institutions can show their confidence in the process of international communication and improve their intercultural communication skills.
Innovative research on the construction of experimental teaching platform of economics and management in colleges and universities based on the background of big data
Authors: Li Jing
Published: July 2023

Under the wave of big data technology development, the traditional experimental teaching methods in colleges and universities are difficult to meet the requirements of the educational objectives of the times, and teaching innovation is the focus of teaching research in many colleges and universities, which has attracted the attention of the majority of educational researchers. This paper focuses on the innovation of the construction of experimental teaching platforms of economic management in colleges and universities based on the background of big data. This paper explains the necessity of innovation of economic management experimental teaching platform, proposes the basic framework of innovation of economic management experimental teaching platform (Kube storage cloud data, front-end design, collaborative filtering algorithm), and researches and discusses the innovation mode and operation mechanism of economic management experimental teaching platform based on experimental teaching construction, based on the similarity between the specified time point and other time points The impact of the time factor on the recommendation results of experimental resources is analyzed. The results of experimental teaching resources recommendation reflect the resource recommendation ability of this platform and compare with H5 technology experimental teaching platform and content analysis method experimental platform to analyze the changing trend of MAE of teaching resources recommendation; analyze the number of concurrent connections and clicks of this platform to verify the performance of this platform. The research results show that this paper platform’s experimental teaching resources recommendation effect with MAE value of 0.51 is better than other platforms. The reason is that this paper platform’s experimental teaching resources recommendation fully takes into account the time factor and co-rated experimental teaching resources, so the accuracy of experimental teaching resources recommendation is significantly improved. This study can improve the quality and teaching efficiency of universities and train more excellent economic management talents for the country, which is of great historical significance to the development of China’s economy and education.
Thinking about the strategy and practice path of modern agricultural industry development in the context of big data
Authors: Zhao Yanjun
Published: July 2023

China is in the critical period of “four synchronous development” of industrialization, informatization, urbanization, and agricultural modernization, so it is urgent to find a correct, scientific, and reasonable development strategy for modern agricultural products and promote the development of big data agriculture. In this paper, we use big data technology to determine the algorithm model of agricultural big data technology and the application system of the agricultural Internet of Things and argue for big data for agricultural planting technology, agricultural economic management, and agricultural industry upgrading in order to find the optimal strategy for the development of modern agriculture in China. As of the statistics at the end of 2019, China’s arable land transfer area has reached 440 million mu, accounting for 30.8% of the total contracted arable land area. With the subsequent land transfer entering a standardized and normalized stage, the scale operation of agricultural production is bound to speed up. In recent years, due to the application of big data technology in agricultural production, China’s modern agricultural industry has developed rapidly, with the mechanization rate of farming at around 86% and the contribution rate of science and technology at over 67%, and agricultural production has gained breakthroughs nationwide. Thus, it can be seen that the modern agricultural industry in the context of big data will usher in new development opportunities.
Research on the construction and operation mode of smart city information service system based on IOT technology
Authors: Zhao Yanjun
Published: July 2023

In the network era, smart city information is in an explosive state. There is positive and negative information in the massive amount of information. Much of this information also comes from the Internet of Things sensors. If the information is disseminated without screening, it will affect the credibility of the city’s information. In the Internet of Things, sensors are used as the carriers of target information in the environment, and since a single type of sensor cannot reflect the complex environmental situation, the joint inference of multiple sensors has become a trend and has received more and more attention. In order to build a smart city information service system, the PF-PHD algorithm is proposed for collecting RFS-based PHD algorithm and PF algorithm for multi-target tracking, and the RBPF-PHD algorithm is proposed to solve the multi-target information tracking problem by combining the Rao-Blackwellized idea to improve the PF-PHD algorithm. Finally, the RBPF-PHD algorithm is simulated and analyzed, and the public satisfaction study is conducted on the information service system of smart cities after using IOT technology. The results show that the single update time of RBPF-PHD algorithm is 0.1437s and that of PF-PHD is 0.1471s, and the time of the improved algorithm is slightly lower than that of the original algorithm, so the timeliness is better. In terms of public satisfaction with public information services, the public expectation coefficient is 0.704, the perceived quality coefficient is 0.632, the maturity coefficient of information service is 0.772, and the influence coefficients are over 0.6. Therefore, the smart city information service system based on IOT technology studied in this paper has good service, public trust, and high satisfaction with public information service.
Analysis of distribution network planning with distributed power supply based on ELM algorithm
Authors: Li Qing , Liu Minghong , Wang Hongtao , Jia Zhenghao , Zhou Chen , Wang Wei
Published: July 2023

With the development of the social economy, the importance of energy and environmental issues is becoming more and more prominent. Distributed power sources (DG) have the advantages of low carbon and environmental protection, flexible control, and low investment cost, but their nodes in the grid are random, which will increase the complexity and uncertainty of grid operation after grid connection. In this paper, we study the planning path of DGs in distribution networks and the protection technologies involved. Firstly, we focus on the impact of DG access on the protection of distribution networks and the impact of different access capacities and access locations of DG on the protection of distribution networks. Second, after studying the current status of the application of traditional genetic algorithms in distribution network fault location, a two-layer planning model based on the modified extreme learning machine algorithm (MPSO-ELM) is proposed, with the load demand guaranteed by the first layer of power allocation and the fault location incorporated into the distribution network protection scheme in the second layer. Finally, simulations are performed to compare and demonstrate the advantages of this MPSO-ELM algorithm. The simulation results show that the MPSOELM algorithm converges faster than the traditional genetic algorithm by 7s, the average operating speed of power nodes is 3.61ms faster than the traditional genetic algorithm by 5.59ms, and the accuracy in fault location is improved by 23.14%. The simulation results verify the comprehensiveness, accuracy, and high efficiency of the ELM algorithm for double-layer planning of distribution networks containing distributed power supplies, which is important for improving the level of power grid construction and avoiding the risk of power grid construction.
BODRUM KRUVAZİYER LİMANI’NIN ANA LİMAN OLMA POTANSİYELİNİN DEĞERLENDİRMESİ
Authors: BAYAZIT Şeyma
Published: July 2023

Kruvaziyer turizmi, seyahat endüstrileri içerisinde en hızlı büyüyen sektördür. Limanlar, kruvaziyer faaliyetlerinin temel bileşenleridir. Ana limanların yerel, bölge ve ülke ekonomisine katkısı, uğrak limanlara göre daha fazladır. Bu çalışmada, kruvaziyer turizminde uğrak bir limanın ana liman olması için gerekli unsurlar incelenerek yeni bir kriter seti geliştirilmiştir. Kriter seti; limanın verimliliği ve olanakları ile liman yerinin mekansal (site) ve durumsal (situation) niteliklerini değerlendiren 13 kriterden oluşmaktadır. Çalışma alanı olarak Bodrum Kruvaziyer Limanı seçilmiştir. Çalışma alanının arazi yapısı (arazi eğimi, yükseltisi ve örtüsü), şehir olanakları ve hava alanına erişilebilirliği kapsamında kriterleri karşılamaması nedeniyle, ana liman olma potansiyeli bulunmadığı tespit edilmiştir. Bununla birlikte, Bodrum Kruvaziyer Limanı için ileriye dönük liman geliştirme stratejilerinde faydalı olabilecek alternatif öneriler geliştirilmiştir. Çalışmanın, rekabet gücünü arttırmak ve kruvaziyer endüstrisinden daha fazla pay almak için ana limana dönüştürülmesi düşünülen farklı liman yerlerinde de uygulanabilir olması açısından liman işletmelerine, destinasyon yöneticilerine ve araştırmacılara liman gelişim karar süreçlerinde rehberlik edeceği değerlendirilmektedir.
Digital Supply Chain Twins in Urban Logistics System
Authors: Tasche Lars , Bähring Maximilian , Gerlach Benno
Published: July 2023

Current trends in urban areas pose several challenges to city logistics stakeholders while also offering opportunities for optimization. With its analytics, modelling and simulation capabilities, the Digital Supply Chain Twin (DSCT) technology provides a possibility to optimize urban logistics processes. However, a number of barriers have limited the implementation of holistic DSCTs so far. An integrative, collaborative platform could decrease these barriers. By applying design science research methodology and expert interviews, this paper develops an architecture for a high-level cross-institutional platform for the generation of DSCTs. This framework includes a modular design of the platform through eight functional modules. The platform can facilitate the implementation of DSCTs for urban stakeholders and thus optimize urban logistics processes.
Perencanaan Re-Layout Penempatan Barang Ownstok Dengan Menggunakan Metode Class Based Storage (CBS) di Warehouse PT. Pamapersada Nusantara Site BRCB (Binungan Blok 8)
Authors: Yahya Ramy , Wisnugroho Anthonius Dhinar Hasto , Asrory Fahriza Fawwas , Andriani Nur Linda
Published: July 2023

PT Pamapersada Nusantara adalah perusahaan yang bergerak di bidang pertambangan batubara dan menjadi salah satu kontraktor PT Berau Coal. Permasalahan yang terjadi di Department Supply Management divisi Warehouse yaitu penempatan barang yang masih belum maksimal sesuai dengan frekuensi pergerakan barang Ownstock pada 5 rak dengan persentase sebesar 65,8%. Penelitian ini bertujuan melakukan penataan ulang (re-layout) penempatan barang ownstock dan menganalisis perbandingan jarak perpindahan material handling. Metode yang digunakan dalam penelitian ini adalah Class-Based Storage (CBS) yaitu metode yang tepat dalam mengklasifikasikan barang berdasarkan kelasnya yaitu Fast Moving, Mid Moving, dan Slow Moving. Hasil dari penelitian yaitu dengan adanya perencanaan re-layout membuat barang ownstock di 5 rak fast moving menjadi lebih tertata dan sesuai dengan frekuensi pergerakan barang ataupun kelasnya, serta didapat penurunan jarak perpindahan sebesar 5.838,37 m yang diharapkan dapat mempercepat waktu proses pengeluaran barang (issuing).
Sistem Informasi Pelayanan Masyarakat di Kecamatan Jangkar Berbasis Web dan Via Whatsapp Gateway
Authors: Puspita Dyah Ayu , Azise Nur , Lutfi Ahmad
Published: July 2023

Kecamatan merupakan salah satu lembaga pemerintahan pelayanan masyarakat dan disebut dengan pelayanan publik. Kegiatan pelayanan masyarakat di Kecamatan Jangkar saat ini masih dilakukan secara konvensional  sehingga membutuhkan waktu lama dan mengharuskan pemohon untuk mendatangi kantor terlebih dahulu. Tujuan dibuatnya Sistem informasi pelayanan masyarakat di Kecamatan Jangkar berbasis website dan via whatsapp gateway ini  dapat memudahkan masyrakat dalam pembuatan surat secara online. Sehingga pemohon hanya melakukan registrasi dan mengisi persyaratan tanpa harus mendatangi kantor. Pemohon juga bisa melakukan pengajuan yang akan ditandatangani online oleh Camat. Pemohon juga bisa melihat status surat yang telah diajukan, dan ketika surat telah selesai pemohon akan mendapat notifikasi via whatsapp gateway. Sehingga hal tersebut bisa untuk meningkatkan kualitas pelayanan di Kantor Kecamatan Jangkar. Sistem ini juga menggunakan metode waterfall dan jenis penelitian kualitatif.
The capacity of imaging sonar for quantifying the abundance, species richness, and size of reef fish assemblages
Authors: Sibley ECP , Madgett AS , Elsdon TS , Marnane MJ , Harvey ES , Fernandes PG
Published: July 2023

Reef fish assemblages across tropical and temperate latitudes are increasingly threatened by human impacts and climate change. Accurate and efficient survey methods are essential for quantifying these communities to inform management strategies. Imaging sonars (ISs) are high-frequency acoustic devices that produce camera-like images of objects. Unlike optical instruments, IS functions effectively in turbid and dark water and has proven valuable in detecting fishes in poor visibility and at night. Abundance, species richness, and fish size are desirable metrics in most reef fish surveys. This review investigates previous attempts to quantify these metrics using IS across different habitats. These metrics are often quantified in comparison with alternative methods (e.g. cameras, extractive techniques). This review examines the causes of agreement or incongruence between estimates from IS and estimates from these alternatives. Any instrument employed to quantify reef fishes should be able to operate in structurally complex habitats, and thus the ability of IS to function in these circumstances is also reviewed. Finally, 5 notable limitations of IS are described and solutions discussed. Overall, this review underlines the net value of IS for surveying reef fishes but advises using alternative methods to complement IS estimates of abundance, species richness, and fish size.
AFGANİSTAN SAVAŞI’NDA AVUSTRALYA ÖZEL KUVVETLERİNİN SAVAŞ SUÇLARI VE AGAMBEN’İN İSTİSNA DURUMU
Authors: Turan Gözde
Published: July 2023

BM verilerine ve Avustralya Savunma Kuvvetleri (Australian Defence Force, ADF) tarafından hazırlanan rapora göre 2003-2013 yılları arasında Afganistan’da görev alan Avustralya Özel Birlik askerleri en az 89 sivilin ve savaşanın ölümünden sorumludur. Her ne kadar Avustralya hükümeti kendi soruşturmasını yürütmekte ve sorumluları hukuk önüne getirmeye kararlı olduğu yönünde bir izlenim göstermekte ise de, uluslararası barış gücü bünyesinde görev alan personelin uluslararası suçlar işleyebileceği ve işlediği gerçeği hukuki alan dışında siyasi alanda da tartışılması gereken ve etki doğuran bir sorundur. Avustralya birliklerinin Afganistan Savaşı sırasındaki eylemleri uluslararası ilke ve normlarla bağdaşmamaktadır. Yasa koyucu iktidarın, iktidarını kurma aşamasında hukukun üstünde ve dışında olduğunu öne süren Agamben’in istisna durumu teorisine paralel olarak, Avustralya birliklerinin söz konusu eylemleri istisna olmanın ötesinde istisnanın kurala dönüştüğü bir alanı işaret etmektedir. Birliklerin işlediği uluslararası suçların kurbanları olan Afganlar ise hukuki alanın dışına itilen, dolayısıyla hukuki suje olarak tanınmayan bireyi ifade eden homo sacer halini almaktadırlar. Bu doğrultuda, çalışma ulusal alandaki istisna durumu ve homo sacer inşası süreçlerine benzer şekilde uluslararası toplumun kendi istisna durumlarını ve homo sacer sujelerini kurguladığını gösterecektir.
Establishing Critical Constructivism in Learning Teaching Through Developed Self-Assessment Framework
Authors: Bhatnagar Anjali
Published: July 2023

Schools in general carry the fundamental responsibility of moulding and transforming society to meet the dynamic inherent. Under the scenario, it becomes immensely relevant to challenge the underpinning processes for the sustainable growth and development of any nation. The research work explores the concept of critical constructivism, in the light of Paulo Freire's philosophy to support the pertinent and ostensible transformation desired.  The study develops the self-assessment framework to evaluate the preparedness of schools towards a critically constructivist classroom. The developed framework was implemented in schools of different governance to evaluate the current proposition in the context. The self-assessment framework establishes credential credibility through quality process viability assessment. The results of the study reflect upon the gaps and way forward to enable critically constructivist classrooms.
Specific inflammatory profile of acute ischemic stroke patients with left atrial enlargement
Authors: Fontaine Julia , Leboube Simon , Bochaton Thomas , Thibault Hélène , Amaz Camille , Cho Tae-Hee , Paccalet Alexandre , Crola Da Silva Claire , Duhamel Suzanne , Buisson Marielle , Rascle Lucie , Bidaux Gabriel , Ovize Michel , Nighoghossian Norbert , Mechtouff Laura
Published: July 2023

Background

The inflammatory process underlying atrial myopathy may affect the inflammatory response activated in acute ischemic stroke (AIS).

Objectives

We aimed to assess whether left atrial enlargement (LAE) as a marker of atrial myopathy is associated with a different profile of circulating inflammatory markers in AIS patients.

Methods

HIBISCUS-STROKE is a cohort study including anterior circulation AIS patients treated with mechanical thrombectomy following MRI. Ten circulating inflammatory markers were measured at admission and 6, 24, and 48 h after admission. LAE was defined as a left atrial volume index (LAVi) ≥34 ml/m2. A multiple logistic regression model was performed to detect an independent association between the area under the curve (AUC) of these markers and LAE.

Results

We included 143 patients. Of them, 85 (59.4%) had LAE. On univariable analysis, we found that patients with LAE had higher soluble form suppression of tumorigenicity 2 (sST2), soluble tumor necrosis factor receptor I (sTNFR1), and vascular cellular adhesion molecule-1 (VCAM-1) AUC, were older, mostly female, had a higher National Institutes of Health Stroke Scale (NIHSS) score and blood glucose level at admission, had more often hypertension, and a cardioembolic source of AIS, such as atrial fibrillation, while they were less frequently current smokers and had a lower rate of tandem occlusion than patients without LAE. On multivariable analysis, we found that among circulating inflammatory markers, only high VCAM-1 (OR: 9.13, 95% CI: 3.21–25.9) and sST2 (OR: 3.40, 95% CI: 1.68–6.86) AUC remained associated with LAE.

Conclusions

High VCAM-1 and sST2 levels within the first 48 h are associated with LAE in AIS patients.
Influence and mechanism of sodium-glucose cotransporter-2 inhibitors on the cardiac function: study protocol for a prospective cohort study
Authors: Cao Min-Jia , Shi Fang-Hong , Yu Bin-Bin , Ma Xue-Chen , Zhang Chen , Xu Li , Jiang Yi-Hong , Ge Heng , Shen Long , Pu Jun
Published: July 2023

Background

Acute myocardial infarction (AMI) poses a significant threat to cardiovascular diseases (CVDs), leading to a high risk of heart failure (HF) and cardiovascular death. Growing evidence has unveiled the potential of sodium-glucose cotransporter-2 (SGLT2) inhibitors to improve cardiovascular outcomes in patients with CVD regardless of diabetes, but there is limited evidence in AMI patients. Furthermore, it is controversial whether the effects can be ascribed to the amelioration of left ventricular (LV) function, which further complicates the understanding of their underlying mechanism.

Methods

This study is a prospective, phase IV, open-label, parallel group, single-center trial conducted in a large tertiary teaching hospital in China. A total of 120 patients with AMI and type 2 diabetes mellitus (T2DM) will be included. Those who received SGLT2 inhibitors are considered as the experimental group, and those taking other antidiabetic agents are considered as the control group. The primary outcome is change in LV end-systolic volume index (LVESVi) measured by cardiac magnetic resonance (CMR) imaging from baseline during 1-year follow-up period. Secondary outcomes include other LV parameters such as LV mass, LV volume, and LV ejection fraction (EF); quality of life and functional capacity such as Kansas City Cardiomyopathy Questionnaire overall summary score (KCCQ-OS) and EuroQol-5 dimension (EQ-5D); biomarkers associated with diagnostic parameters of AMI and possible mechanisms on cardiovascular protection, such as creatine kinase, troponin T (TnT) level, troponin I (TnI) level, soluble suppression of tumorigenicity-2 (sST2), galectin-3 (Gal-3), fibroblast growth factor 21 (FGF21), and microRNA (miRNA) level.

Discussion

This study aims to investigate whether SGLT2 inhibitors could improve LV function by measuring CMR, quality of life, and functional capacity in patients with AMI in real-world settings, providing evidence on the underlying mechanism of SGLT2 inhibitors on cardioprotection.

Clinical trial registration

https://www.chictr.org.cn/showproj.html?proj=173672, identifier ChiCTR2200065792.
Unveiling the key genes, environmental toxins, and drug exposures in modulating the severity of ulcerative colitis: a comprehensive analysis
Authors: Wang Yao , Zhuang Hao , Jiang Xiao-han , Zou Rui-han , Wang Hai-yang , Fan Zhi-ning
Published: July 2023

Background

As yet, the genetic abnormalities involved in the exacerbation of Ulcerative colitis (UC) have not been adequately explored based on bioinformatic methods.

Materials and methods

The gene microarray data and clinical information were downloaded from Gene Expression Omnibus (GEO) repository. The scale-free gene co-expression networks were constructed by R package “WGCNA”. Gene enrichment analysis was performed via Metascape database. Differential expression analysis was performed using “Limma” R package. The “randomForest” packages in R was used to construct the random forest model. Unsupervised clustering analysis performed by “ConsensusClusterPlus”R package was utilized to identify different subtypes of UC patients. Heat map was established using the R package “pheatmap”. Diagnostic parameter capability was evaluated by ROC curve. The”XSum”packages in R was used to screen out small-molecule drugs for the exacerbation of UC based on cMap database. Molecular docking was performed with Schrodinger molecular docking software.

Results

Via WGCNA, a total 77 high Mayo score-associated genes specific in UC were identified. Subsequently, the 9 gene signatures of the exacerbation of UC was screened out by random forest algorithm and Limma analysis, including BGN,CHST15,CYYR1,GPR137B,GPR4,ITGA5,LILRB1,SLFN11 and ST3GAL2. The ROC curve suggested good predictive performance of the signatures for exacerbation of UC in both the training set and the validation set. We generated a novel genotyping scheme based on the 9 signatures. The percentage of patients achieved remission after 4 weeks intravenous corticosteroids (CS-IV) treatment was higher in cluster C1 than that in cluster C2 (54% vs. 27%, Chi-square test, p=0.02). Energy metabolism-associated signaling pathways were significantly up-regulated in cluster C1, including the oxidative phosphorylation, pentose and glucuronate interconversions and citrate cycle TCA cycle pathways. The cluster C2 had a significant higher level of CD4+ T cells. The”XSum”algorithm revealed that Exisulind has a therapeutic potential for UC. Exisulind showed a good binding affinity for GPR4, ST3GAL2 and LILRB1 protein with the docking glide scores of –7.400 kcal/mol, –7.191 kcal/mol and –6.721 kcal/mol, respectively.We also provided a comprehensive review of the environmental toxins and drug exposures that potentially impact the progression of UC.

Conclusion

Using WGCNA and random forest algorithm, we identified 9 gene signatures of the exacerbation of UC. A novel genotyping scheme was constructed to predict the severity of UC and screen UC patients suitable for CS-IV treatment. Subsequently, we identified a small molecule drug (Exisulind) with potential therapeutic effects for UC. Thus, our study provided new ideas and materials for the personalized clinical treatment plans for patients with UC.
Supervised machine learning models for depression sentiment analysis
Authors: Obagbuwa Ibidun Christiana , Danster Samantha , Chibaya Onil Colin
Published: July 2023

Introduction

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques to predict the level of depression earlier in social media users' posts.

Methods

The datasets used in this research were obtained from Twitter posts. Four machine learning models, namely extreme gradient boost (XGB) Classifier, Random Forest, Logistic Regression, and support vector machine (SVM), were employed for the prediction task.

Results

The SVM and Logistic Regression models yielded the most accurate results when applied to the provided datasets. However, the Logistic Regression model exhibited a slightly higher level of accuracy compared to SVM. Importantly, the logistic regression model demonstrated the advantage of requiring less execution time.

Discussion

The findings of this study highlight the potential of utilizing machine learning models and sentiment analysis techniques for early detection of depression in social media users. The effectiveness of SVM and Logistic Regression models, with Logistic Regression being more efficient in terms of execution time, suggests their suitability for practical implementation in real-world scenarios.
Evaluation of the Impact of the Urgent Cancer Care Clinic on Emergency Department Visits, Primary Care Clinician Visits, and Hospitalizations in Winnipeg, Manitoba
Authors: Galloway Katie , Lambert Pascal , Bow Eric J. , Czaykowski Piotr , Fatoye Tunji , Goldenberg Benjamin , Kristjanson Mark , Singh Harminder , Bucher Oliver , Decker Kathleen
Published: July 2023

The urgent cancer care (UCC) clinic at CancerCare Manitoba (CCMB) opened in 2013 to provide care to individuals diagnosed with cancer and serious blood disorders experiencing complications from the underlying disorder or its treatment. This study examined the impact of the UCC clinic on other health care utilization in Winnipeg, Manitoba, Canada. An interrupted time series study design was used to compare the rates of emergency department (ED) visits, primary care clinician (PCC) visits, and hospitalizations from 1 January 2010 to 31 December 2015. Rates of ED visits were also stratified by ED location, severity, and cancer type. We found a 6% (95% CI 1.00–1.13, p-value = 0.0389) increase in PCC visits, a 7% (95% CI 0.99–1.15, p-value = 0.0737) increase in hospitalizations, a 4% (95% CI 0.86–1.08, p-value = 0.5053) decrease in the rate of ED visits, and a 3% (95% CI 0.92–1.17, p-value = 0.5778) increase in the rate of ED visits during the UCC clinic hours after the UCC clinic opened. The implementation of the UCC clinic had minimal impact on health care utilization. Future work should examine the impact of the UCC clinic on other aspects of healthcare utilization (e.g., number of tests ordered and time spent waiting in CCMB’s main clinics) and patient quality of life and patient and health care provider experience.
Implementation of a Cervical Cancer Screening Intervention for Under- or Never-Screened Women in Ontario, Canada: Understanding the Acceptability of HPV Self-Sampling
Authors: Devotta Kimberly , Vahabi Mandana , Prakash Vijayshree , Lofters Aisha K.
Published: July 2023

With appropriate screening, cervical cancer can be prevented. In Ontario, Canada, some groups of women have low screening rates. South Asian, Middle Eastern and North African women are particularly at risk of under-screening. Currently, cytology-based screening is used in Ontario, although the growing evidence and adoption of HPV testing for cervical screening has encouraged many jurisdictions around the world to move towards HPV testing, with the option of self-sampling. We conducted an intervention beginning in June 2018, where we recruited over 100 under- or never-screened (UNS) women who identify as South or West Asian, Middle Eastern or North African from the Greater Toronto Area, to understand the uptake and acceptability of HPV self-sampling as an alternative to a Pap test. Participants self-selected if they tried the kit or not and completed both quantitative and qualitative research activities. This paper focuses on the qualitative arm of the study, where follow-ups and five focus groups were conducted with those who tried the kit (three groups) and those who did not (two groups), as well as eight key informant interviews with community champions and others who were involved in our recruitment. We used the Consolidated Framework for Implementation Research (CFIR) to guide our data collection and analysis. Major themes around convenience, privacy and comfort came from the data as important drivers of the uptake of the intervention. The role of community champions and peers in engaging and educating UNS women, as well as having self-confidence to collect the sample, also came out as factors impacting uptake and plans for continued use. Overall, the intervention showed that HPV self-sampling is an acceptable alternative to a Pap test for some but not all UNS women in Ontario.
Radiotherapy for Locally Advanced Pancreatic Adenocarcinoma—A Critical Review of Randomised Trials
Authors: Ejlsmark Mathilde Weisz , Schytte Tine , Bernchou Uffe , Bahij Rana , Weber Britta , Mortensen Michael Bau , Pfeiffer Per
Published: July 2023

Pancreatic cancer is rising as one of the leading causes of cancer-related death worldwide. Patients often present with advanced disease, limiting curative treatment options and therefore making management of the disease difficult. Systemic chemotherapy has been an established part of the standard treatment in patients with both locally advanced and metastatic pancreatic cancer. In contrast, the use of radiotherapy has no clear defined role in the treatment of these patients. With the evolving imaging and radiation techniques, radiation could become a plausible intervention. In this review, we give an overview over the available data regarding radiotherapy, chemoradiation, and stereotactic body radiation therapy. We performed a systematic search of Embase and the PubMed database, focusing on studies involving locally advanced pancreatic cancer (or non-resectable pancreatic cancer) and radiotherapy without any limitation for the time of publication. We included randomised controlled trials involving patients with locally advanced pancreatic cancer, including radiotherapy, chemoradiation, or stereotactic body radiation therapy. The included articles represented mainly small patient groups and had a high heterogeneity regarding radiation delivery and modality. This review presents conflicting results concerning the addition of radiation and modality in the treatment regimen. Further research is needed to improve outcomes and define the role of radiation therapy in pancreatic cancer.
Indole Derivatives: Unveiling New Frontiers in Medicinal and Synthetic Organic Chemistry
Authors: Saleem Faiza , Khan Khalid Mohammed
Published: July 2023

In recent years, significant attention has been given to indoles, a diverse group of heterocyclic compounds widely found in nature that play a crucial role in various bioactive natural and synthetic substances [...]
Health Benefits, Antioxidant Activity, and Sensory Attributes of Selected Cold-Pressed Oils
Authors: Rabiej-Kozioł Dobrochna , Momot-Ruppert Monika , Stawicka Barbara , Szydłowska-Czerniak Aleksandra
Published: July 2023

The consumption of cold-pressed oils (CPOs) has continuously increased due to their health-promoting compounds, such as polyunsaturated fatty acid (PUFA), tocopherols, sterols, and polyphenols. This study focused on the estimation and comparison of the physicochemical properties and sensory quality of six CPOs: linseed oil (CPLO), pumpkin oil (CPPO), milk thistle oil (CPMTO), rapeseed oil (CPRO), camelina oil (CPCO), and sunflower oil (CPSO), which are the most popular in the Polish market. These oils were analysed for their fatty acid composition (FAC), their tocopherol, sterol, polycyclic aromatic hydrocarbon (PAHs), water, and volatile matter (WVM) contents, as well as their antioxidant activity (AA) and oxidative stability parameters. Moreover, quantitative descriptive analysis (QDA) was performed to obtain detailed information on the sensory profiles and quantitative data on the CPOs’ attributes that affected consumer acceptability and purchase intent. All of the analysed CPOs were rich in PUFA (27.94–68.42%). They were characterised by the different total amounts of health-beneficial compounds, such as tocopherols (TTC = 44.04–76.98 mg/100 g), sterols (TSC = 300–684 mg/100 g), and polyphenols (TPC = 2.93–8.32 mg GA/100 g). Additionally, their AA was determined using 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and ferric reducing antioxidant power (FRAP) methods, with results ranging between 185.36–396.63, 958.59–1638.58, and 61.93–119.21 µmol TE/100 g, respectively. However, the deterioration parameters of CPOs, such as peroxide values (PV = 0.24–4.61 meq O2/kg), p-anisidine values (pAnV = 0.39–4.77), acid values (AV = 0.31–2.82 mg KOH/g), and impurity amounts (Σ4PAHs = 1.16–8.76 μg/kg and WVM = 0.020–0.090%), did not exceed the level recommended by the Codex Alimentarius Commission. The obtained results indicated that all of the investigated CPOs are valuable sources of health-promoting bioactive compounds.