bluuebunny/crossref_metadata_2025 huggingface dataset:
Anti-corruption Measures in Post-conflict Reconstruction
Authors: Iffat Idris
Published: July 2022

Corruption risks in post-conflict reconstruction are high, notably due to the typically large influx of international aid coupled with weak/illegitimate governments and low state capacity. Combatting corruption in post-conflict settings is vital in the short- and medium-term to promote development and growth, and in the long-term to prevent renewed conflict. Anti-corruption efforts can focus on strengthening the rule of law; public financial management; civil service reform to promote meritocratic hiring, proper training and proper remuneration; promoting transparency and accountability – on the part of both donors as well as recipient governments; and promoting external accountability mechanisms of the media and civil society.
Kluczowe kwestie: czynniki wpływające na stosunek do szczepień ukraińskich uchodźców przebywających w polsce
Authors: Richardson Erica
Published: July 2022

Uchodźcom z Ukrainy zapewniono bezpłatny dostęp do wszystkich usług służby zdrowia w krajach sąsiednich, w tym do rutynowych szczepień dzieci. Od wszystkich ukraińskich dzieci przebywających w Polsce przez okres dłuższy niż trzy miesiące wymaga się poświadczonego odpowiednim dowodem szczepienia wykonanego zgodnie z ogólnym kalendarzem szczepień obowiązującym na Ukrainie lub w Polsce. Niski wskaźnik szczepień pośród przemieszczających się uchodźców wzbudził zaniepokojenie już w początkowej fazie kryzysu. Niniejszy dokument skierowany jest do działaczy samorządowych, organizacji pozarządowych (NGO) i agencji międzynarodowych wspierających uchodźców w Polsce. Zawiera podsumowanie informacji na temat czynników wpływających na decyzje dotyczące szczepień na obecnym etapie kryzysu, a ponadto strategiczne i praktyczne informacje, które mogą posłużyć do opracowywania planu działania ukierunkowanego na przekonanie ukraińskich uchodźców o celowości rutynowych szczepień. Rozpoczyna się od przedstawienia perspektywy historycznej i postaw społeczeństwa ukraińskiego wobec szczepień rutynowych. Następnie omówiono wpływ kontekstu historycznego na stosunek do szczepień Ukraińców mieszających w Polsce przed wybuchem trwającego obecnie konfliktu (luty 2022 r.) oraz stosunek uchodźców ukraińskich do szczepienia się w Polsce. Na zakończenie, w oparciu o trwające nadal badania, wyjaśnimy, jak niepewność co do długoterminowych planów uchodźców wpływa na ich niechęć do poddawania się szczepieniom. Niniejsze opracowanie zostało sporządzone na zlecenie UNICEF Emergency Response Team (Genewa) przez Ericę Richardson (European Observatory on Health Systems and Policies, London School of Hygiene and Tropical Medicine). Opracowanie zostało zweryfikowane przez Olivię Tulloch (Anthrologica), Marinę Bragę, Tetianę Stepurko (Narodowy Uniwersytet „Akademia Kijowsko-Mohylańska”), Marianę Palavrę (UNICEF) i Sanję Matovic (Euro Health Group). Niniejszy dokument został zredagowany przez Victorię Haldane (Anthrologica). Za jego treść odpowiada SSHAP.
Çevrim İçi Öğrenme Ortamlarında Kullanılan Platformlar ve Dijital Araçlar: İlköğretim Matematik Öğretmenleri Gözüyle
Authors: AKŞAN KILIÇASLAN Elif , TUĞAÇ Mühibe Nur , ERYILMAZ TOKSOY Seyhan
Published: July 2022

Bu araştırmada pandemi sürecinde ilköğretim matematik öğretmenlerinin çevrim içi öğrenme ortamlarında kullandıkları platform ve dijital araçların belirlenmesi amaçlanmıştır. Veriler Milli Eğitim Bakanlığında görev yapan 28 ilköğretim matematik öğretmeninin açık uçlu ankete verdikleri cevaplar aracılığıyla toplanmıştır. Verilerin içerik analizine tabi tutulmasıyla bulgulara ulaşılmıştır. İlköğretim matematik öğretmenleri tarafından en çok kullanılan platformun ZOOM, en çok tercih edilen öğretim teknolojisinin ise Z-Kitap olduğu tespit edilmiştir. Öğretmenlerin dijital araçlardan farklı amaçlarla faydalandıkları, ancak en fazla etkili öğrenmeyi sağlamak için kullandıkları belirlenmiştir. Öğretmenlerin çevrim içi platform ve dijital araçlardan beklentileri; ulaşılabilirlik ve öğrencilerin aktif olması dışında, kullanımlarının kolay olması, her konuya uyarlanabilmesi, çeşitli materyal sunması, dikkat çekmesi, ücretsiz olması, dil seçeneğinin olması ve görüntü ve ses kalitesinin yüksek olması şeklinde özetlenebilir. Her öğrencinin dijital teknolojilere ulaşması ve derse aktif şekilde katılımının sağlanması için ebeveynlerle işbirliği yapılması önerilebilir.
Pandemi COVID-19 dan Diplomasi Medis Tiongkok: Manifestasi Nilai Kemanusiaan atau Kepentingan Politik
Authors: Sitepu Qory Fizrianti , Agsmy Aisyah Ananda
Published: July 2022

Sejak akhir tahun 2019, Tiongkok menjadi salah satu negara pendonor utama yang memberikan bantuan kemanusiaan pada sektor kesehatan di tengah pandemi COVID-19. Bantuan kemanusiaan tersebut lebih diperuntukkan bagi negara-negara berkembang yang terdampak terutama sejak negara-negara maju menerapkan nasionalisme vaksin. Melalui bantuan tersebut, terma diplomasi medis muncul ke permukaan untuk menjelaskan upaya politik yang dilakukan Tiongkok dengan melakukan donasi, memberi bantuan alat kesehatan, keperluan medis, dan kebutuhan kesehatan lainnya kepada negara maupun disalurkan melalui organisasi internasional. Akan tetapi, diplomasi medis dinilai memiliki relevansi dengan Health Silk Road (HSR) sebagai proposal kebijakan di bawah Belt Road Initiative (BRI) dengan fokus pada sektor kesehatan, sehingga motif politik tidak terlepas dalam penerapannya. Kajian ini bertujuan untuk menjawab mengapa Tiongkok menggunakan diplomasi medis sebagai salah satu alat untuk mendukung proyek BRI dengan menggunakan metode studi kepustakaan berbasis pada teori diplomasi medis sebagai soft power serta diplomasi medis sebagai salah satu dimensi dari kebijakan luar negeri. Hasil analisis menunjukkan bahwa Tiongkok menggunakan diplomasi medis sebagai soft power dan alat pendukung proyek kebijakan luar negeri Tiongkok (BRI) akibat absensi negara-negara maju yang memiliki kapabilitas untuk menangani pandemi Covid-19 secara tanggap.
Sektor Privat sebagai Otoritas Moral Alasan dibalik Kepatuhan PBSI terhadap Peraturan Anti – Doping WADA
Authors: Ningsih Sabda
Published: July 2022

Tulisan ini meneliti terkait kontrol anti – doping WADA dan alasan PBSI patuh terhadap kode anti – doping WADA. WADA sebagai NGO yang mengontrol norma anti – doping dalam olahraga seharusnya memiliki akuntabilitas yang lemah dalam menundukkan negara kecuali adanya kepentingan yang ditawarkan. Oleh karenanya, WADA sebagai NGO memberikan penawaran menarik kepada negara dan lembaga olahraga. Ini berkaitan dengan komersialisme olahraga dan globalisasi. Komersialisme olahrga sendiri merupakan strategi yang sengaja diformulasikan WADA agar negara beserta lembaga olahraga tertarik untuk berada dibawah kontrol anti – doping WADA sebagai NGO. Selanjutnya, globalisasi mendorong negara untuk masuk dalam permainan olaharaga demi menunjukkan eksistensinya sebagai sebuah negara. Maka temuan dalam tulisan ini menyatakan bahwa, kepentingan PBSI sebagai alasan untuk tunduk kepada anti – doping WADA dilandasi pada adanya komersialisme olahraga seperti mengejar sponsorship dan bonus dari pertandingan yang diberikan lembaga penyelenggara. Mengingat sponsor dan bonus dari turnamen bisa didapatkan dengan keaktifan PBSI mengirimkan perwakilannya di turnamen dan untuk mengikuti turnamen harus mematuhi WADA yang menaungi organisasi penyelenggara olahraga. Patuhnya PBSI juga difaktori citra bersih dari doping agar mereka tidak terbuang dari pergaulan olahraga dan menjagta reputasi bulutangkis Indonesia yang telah dibangun oleh generasi PBSI sebelum adanya WADA.
Використання безсерверних функцій в алгоритмі розрахунку цільової точки траєкторії при динамічному навантаженні
Authors: Ахаладзе I. , Лісовиченко O.
Published: July 2022

Реалізована архітектура з використанням безсерверних функцій для аналізу виходу в цільову точку траєкторії члена рою в умовах динамічного навантаження з меншим споживанням енергії. Використання підходу, реалізаціяматематичного апарату розрахунку цільової точки та перевірки виходу в цій точці, з точки зору поставленої задачі дозволяє більш ефективно використовувати енергію на вузлі синхронізації на 37,5%, а оскільки розрахунки переносяться в хмару, витрати в інших частинах споживання енергії на передачу даних. Це дозволяє значно продовжити роботу роя в умовах обмеженості енергетичних ресурсів і збільшити час польоту роя.

Бібл. 8, іл. 5.
DETERMINATION OF PATULIN IN APPLE PUREE USING LC-MS WITH TRIPLE QUADRUPOLE DETECTOR
Authors: Kuptsova Mariia , Shchepak Andrii , Slis Andrii , Solodovnik Tetyana
Published: July 2022

Patulin is a high-hazardous mycotoxin formed in apples affected by the fungus. This mycotoxin, when ingested, has the irreversible effect of deteriorating health. Most often, patulin enters the human body through processed apple products or baby food. The countries of the European Union have decided to reduce the level of the maximum residue level of patulin in apples to the lowest that can be measured by analytical instruments. Therefore, the aim of this work is to develop a rapid and sensitive method of patulin determination for the lowest level detection allowed by European law.
In this work, patulin was artificially added to apple puree at the level of 10 μg/kg for further detection. The analysis was performed on an LC-MS/MS system with electrospray ionization type and a column based on modified silica. The mobile phase used in the analysis was ultrapure water and acetonitrile with the addition of formic acid. Measurement of the quantity of PAT in the sample was performed using MRM transitions. Subsequently, there was a problem of significant inclusion of the matrix on the spectrum, but the problem was solved by using cartridges for cleaning of matrix impurities. As a result, we achieved a successful and accurate result at level of 10 μg/kg. A calibration curve was felicitously constructed for five different concentrations. The most important parameters of validation of the method use were determined – reproducibility, repeatability, recovery and linearity. The final result of this work is the development and implementation of a rapid, cost-effective and suitable method for determining patulin at the level of the maximum residue level.
Platelet aggregation under the conditions of vortex flow in vitro in patients with chronic heart failure
Authors: Trubacheva O. A. , Kologrivova I. V. , Suslova T. E. , Swarovskaya A. V. , Garganeeva A. A.
Published: July 2022

Aim. To compare the effect of increased concentrations of aggregation inducers (five-fold addition) under standard conditions and under the conditions of vortex flow in vitro on platelet aggregation in patients with chronic heart failure (CHF).

Materials and methods. The study included 28 patients. The activity of platelet aggregation in platelet-rich plasma (PRP) was evaluated according to light transmission curves (%) and the average size of aggregates (relative units (rel. units)). The aggregation inducer was added once at 10 seconds of the study (standard procedure) and five times at 10 seconds, 1, 2, 3, and 4 minutes of the study with a constant stirring rate of 800 rpm. The same parameters were evaluated under the conditions of vortex flow, which was created by changing the stirring rate of the PRP from 800 rpm to 0 rpm and again to 800 rpm by pressing the centrifugation button on the analyzer.

Results. In the course of the study, the size of the aggregates increased in patients with CHF only under the conditions of vortex flow. When a collagen aggregation inducer was added both at the concentration of 2 mmol / l and 10 mmol / l, platelet aggregation parameters increased under the conditions of vortex flow. During the study of epinephrine-induced platelet aggregation in patients with CHF, an increase in the aggregation parameters was revealed, both at five-fold addition of the inducer and under the conditions of vortex flow compared with the standard method.

Conclusion. The proposed methodological approaches to creating the conditions for vortex flow in vitro and to five-fold addition of epinephrine showed an increase in the size of the aggregates and the degree of platelet aggregation. Collagen-induced aggregation under the conditions of vortex flow revealed 7 (25%) patients with high residual platelet reactivity (HRPR), and epinephrine-induced aggregation detected 15 (54%) patients with HRPR.
An artifiсial intelligence computer system for differential diagnosis of lysosomal storage diseases
Authors: Kobrinskii B. A. , Blagosklonov N. A. , Demikova N. S. , Nikolaeva E. A. , Kotalevskaya Y. Y. , Melikyan L. P. , Zinovieva Y. M.
Published: July 2022

Aim. To improve the efficiency of diagnosis of hereditary lysosomal storage diseases using an intelligent computerbased decision support system.

Materials and methods. Descriptions of 35 clinical cases from the literature and depersonalized data of 52 patients from electronic health records were used as material for clinical testing of the computer diagnostic system. Knowledge engineering techniques have been used to extract, structure, and formalize knowledge from texts and experts. Literary sources included online databases and publications (in Russian and English). On this basis, for each clinical form of lysosomal diseases, textological cards were created, the information in which was corrected by experts. Then matrices were formed, including certainty factors (coefficients) for the manifestation, severity, and relevance of signs for each age group (up to 1 year, from 1 to 3 years inclusive, from 4 to 6 years inclusive, 7 years and older). The knowledge base of the expert system was implemented on the ontology network and included a disease model with reference variants of clinical forms. Decision making was carried out using production rules.

Results. The expert computer system was developed to support clinical decision-making at the pre-laboratory stage of differential diagnosis of lysosomal storage diseases. The result of its operation was a ranked list of hypotheses, reflecting the degree of their compliance with reference descriptions of clinical disease forms in the knowledge base. Clinical testing was carried out on cases from literary sources and patient data from electronic health records. The criterion for assessing the effectiveness of disease recognition was inclusion of the verified diagnosis in the list of five hypotheses generated by the system. Based on the testing results, the accuracy was 87.4%.

Conclusion. The expert system for the diagnosis of hereditary diseases has shown fairly high efficiency at the stage of compiling a differential diagnosis list at the pre-laboratory stage, which allows us to speak about the possibility of its use in clinical practice.
Analytical Derivations of Critical Temperatures in Every Type of Fe-Based Superconductors Based on Two Electrons’ Rotational Model
Authors: Ishiguri Shinichi
Published: July 2022

In this study, Fe-based superconductors (SCs) are described with a model showing a novel attractive force. First, we describe this novel force using an analog from electromagnetism. From electromagnetism, it was found that this force is a Lorentz force in which two electrons orbit around a Fe-ion with the same velocity. Then, we consider a wave function of an electron. Consequently, due to the property of the proposed attractive force and the quantum-field Hamiltonian, we clarified that the Bardeen–Cooper–Schrieffer (BCS) ground state can be reused. Afterward, attractive force energy was calculated according to the presented model. In Fe-based SCs, a structure transition is essential. Considering that the derived attractive force energy is relatively large, we employ the expanded Tc-equation from the BCS theory that includes the structure transition effect and the derived attractive force energy. In addition, we succeed in analytically reproducing Tc-dome diagrams in various types of Fe-based SCs. Moreover, we discuss the universal property a general SC should have as well as the quantum critical point.
The Temporal and Spatial Evolution of Digital Inclusive Finance and Its Boosting Effect on Rural Revitalization in China
Authors: Qiu Jin , Chen Wenxing , Tao Renjie , Wang Chengwei
Published: July 2022

Using the 2011-2020 digital inclusive finance data released by Peking University and the index system constructed by the Blue Book of China Rural Revitalization and Development Index (2018), this paper analyzes the dynamic evolution of the digital inclusive finance and the rural revitaliza-tion from time and space dimensions with the help of kernel density estimation, Markov chain and Moran index. Using The Gini coefficient decomposition method to analyze the source of differ-ences in digital inclusive finance, and then using the spatial autoregressive (SAR) model and ge-ographically weighted regression (GWR) model to study the boosting effect of digital inclusive finance on rural revitalization from the perspective of spatial aggregation and spatial differentia-tion, respectively. The results show that: (1) The growth rate of China's digital inclusive finance slows down year by year, and the inter-provincial differences increase year by year and show gradient characteristics, indicating that there may be a trend of multipolar differentiation. The overall level of Rural Revitalization shows an increasing trend, and the gap between provinces is still apparent. (2) The evolution of digital inclusive finance and rural revitalization is a slow ad-justment process, and there has been no cross-level jump in the past ten years. In digital inclusive finance, the liquidity from the highest and lowest levels to the medium level is high. However, the liquidity in the states of rural revitalization development level is not high. (3) Rural revitalization has a positive spatial spillover effect. The level of rural revitalization in the western area is signif-icantly lower than in the eastern area. At the same time, there is no significant difference between the east and central areas. The depth of the use of digital inclusive finance has a significant positive impact on the revitalization and development of rural areas, indicating that the further promotion of digital inclusive finance business in rural areas can substantially boost the revitalization of rural areas. (4) The boosting effect of digital inclusive finance on rural revitalization shows prominent spatial differentiation characteristics. The depth of use and the degree of digitization generally show a positive impact. The central and eastern coastal cities have the highest impact, decreasing toward the southwest and northeast. The areas with the lowest usage depth impact are clustered in the northeast, and the areas with the lowest digitization impact are clustered in the southwest.
Exploring the Potential of Machine Learning for Modelling Growth Dynamics in an Uneven-Aged Forest at the Level of Diameter Classes: A Comparative Analysis of Two Modelling Approaches
Authors: Dumollard Gaspard
Published: July 2022

Growth models of uneven-aged forests on the diameter class level can support silvicultural decision making. Machine learning brings added value to the modeling of dynamics at the stand or individual tree level based on data from permanent plots. The objective of this study is to explore the potential of machine learning for modeling growth dynamics in uneven-aged forests at the diameter class level based on inventory data from practice. Two main modeling approaches are conducted and compared: i) fine-tuned linear models differentiated per diameter class, ii) an artificial neural network (multilayer perceptron) trained on all diameter classes. The models are trained on the inventory data of the Canton of Neuchâtel (Switzerland), which are area-wide data without individual tree-level growth monitoring. Both approaches produce convincing results for predicting future diameter distributions. The linear models perform better at the individual diameter class level with test R2 typically between 50 and 70% for predicting increments in the numbers of stems at the diameter class level. From a methodological perspective, the multilayer perceptron implementation is much simpler than the fine-tuning of linear models. The linear models developed in this study achieve sufficient performance for practical decision support.
China’s R&D Investment’s Impact on Environmental Pollution: An Integrated Approach Based on Panel Moderated Mediation and Regression Discontinuity
Authors: Lin Aihua , Xu Yukun ,   College of Business, Minnan Normal University 36 Xianqian Street, Xiangcheng District, Zhangzhou City, Fujian Province 363000, China,   Research Center of Internet Finance and Blockchain, Fujian University of Technology 999 Dongsanhuan Road, Jin’an District, Fuzhou City, Fujian Province 350011, China
Published: July 2022

How to reduce environmental pollution is fundamental for current civilization. Increasing in R&D investment may reduce the environmental pollution, yet whether and how R&D investment influence the environmental pollution needs further discussion and verification. Considering that the R&D investment can directly and also indirectly influence the environmental pollution by affecting the economic growth, and the fact that there is an obvious discontinuity for economic growth during the observed period, this paper firstly proposes an integrated approach based on panel moderated mediation analysis and regression discontinuity. It examines the R&D impact on environmental pollution on the basis of province-level data in China and uses the integrated approach to test its direct and indirect effect. Finally conclusion is made according to the findings.
Improved Tumor Image Estimation in X-Ray Fluoroscopic Images by Augmenting 4DCT Data for Radiotherapy
Authors: Shinohara Takumi , Ichiji Kei , Wang Jiaoyang , Homma Noriyasu , Zhang Xiaoyong , Sugita Norihiro , Yoshizawa Makoto ,   Graduate School of Biomedical Engineering, Tohoku University
2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan,   Tohoku University Graduate School of Medicine
2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan,   National Institute of Technology, Sendai College
4-16-1 Ayashi-Chuo, Aoba-ku, Sendai, Miyagi 989-3128, Japan,   Graduate School of Engineering, Tohoku University
6-6-05 Aramaki Aza Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan,   Center for Promotion of Innovation Strategy, Tohoku University
468-1 Aramaki Aza Aoba, Aoba-ku, Sendai, Miyagi 980-0845, Japan
Published: July 2022

Measurement of tumor position is important for the radiotherapy of lung tumors with respiratory motion. Although tumors can be observed using X-ray fluoroscopy during radiotherapy, it is often difficult to measure tumor position from X-ray image sequences accurately because of overlapping organs. To measure tumor position accurately, a method for extracting tumor intensities from X-ray image sequences using a hidden Markov model (HMM) has been proposed. However, the performance of tumor intensity extraction depends on limited knowledge regarding the tumor motion observed in the four-dimensional computed tomography (4DCT) data used to construct the HMM. In this study, we attempted to improve the performance of tumor intensity extraction by augmenting 4DCT data. The proposed method was tested using simulated datasets of X-ray image sequences. The experimental results indicated that the HMM using the augmentation method could improve tumor-tracking performance when the range of tumor movement during treatment differed from that in the 4DCT data.
Expectation Management and Financial Stability – Dynamic Stochastic General Equilibrium Based on News Shock
Authors: Zheng Xiaoqin , Xu Bing ,   School of Economics and Finance, Huaqiao University No.269 Chenghua, North Road, Fengze District, Quanzhou, Fujian 362021, China,   School of Business, Chizhou University No.269 Chenghua, North Road, Fengze District, Quanzhou, Fujian 362021, China,   Wenzhou Base, National Institution for Finance & Development, Wenzhou Business College Chashan Higher Education Zone, Wenzhou, Zhejiang 325035, China
Published: July 2022

After the financial crisis in 2008, finance has been considered a significant cause of the fluctuations in the business cycle. This study introduces the expected monetary policy into a dynamic stochastic general equilibrium (DSGE) model that includes a mechanism of finance amplifying the fluctuations in the business cycle. It compares and analyzes the effects of expected and unexpected monetary policy on financial variables that comprise real estate price and credit. The results show that regarding the shock of reinforcing monetary policy, the expected and unexpected monetary policies have resulted in the reduction of real estate price and credit. However, the unexpected monetary policy has resulted in a greater effect on real estate price and credit. The rapid decline in real estate price and credit may cause severe fluctuations in the business cycle owing to the role of financial accelerators. Therefore, the expected monetary policy can better stabilize finance. Moreover, the expected duration of monetary policy by the entities in the Chinese economic market is found to be one-quarter. Central bank should try to avoid releasing sudden and unexpected monetary policy news to the public, as this will result in severe fluctuations in credit and real estate price, which can further result in severe fluctuations in the business cycle. Central bank should also adopt the monetary policy of expectation management to stabilize finance to further mitigate the magnifying effect of financial factors on fluctuations in the business cycle and prevent systemic financial risks.
Interrelationships Among Consumer Attitudes Toward Vlog Promotion
Authors: Jiang Lu , Kodono Yukio ,   Graduate School of Commerce, Kindai University 3-4-1 Kowakae, Higashiosaka city, Osaka 577-8502, Japan,   Faculty of Business Administration, Kindai University 3-4-1 Kowakae, Higashiosaka city, Osaka 577-8502, Japan
Published: July 2022

In the past year, video blogs (vlogs) seem to have become a major form of information acquisition and entertainment socializing for the Internet users. The vlog, which is essentially a digital diary, is an emerging video content form and is touted by multimedia as the next mainstay of the video blogging era. Many creators have achieved self-branding and self-promotion through the continuous output of vlogs. Vlog visibility has greatly increased and has become a new territory for promotion. Therefore, analyzing the impact of vlog promotional content on consumer attitudes is important to provide companies with a theoretical basis for developing vlog promotions. Based on a large amount of literature and book research, this study proposes three attitude components in reference to the ABC attitude model: cognitive attitude, affective attitude, and behavioral tendency. Based on this, a questionnaire was designed to determine the influence of vlog promotion on consumer attitudes, and correlation and regression analyses were conducted on the three outcome and six predictor variables according to the results. All six predictors were determined to have different degrees of influence on consumer attitudes, with the vlogger’s (who provides the vlog) understanding of the advertised products having the most influence on cognitive attitudes. This was also the most influential factors in affective attitudes and behavioral tendency; the second-most influential factors for these are the degree of fan interactivity with the vlogger and vlog content, respectively.
Cooperative Network Embedding, Knowledge Network Structure and Technological Catch-Up of Latecomers: A Technical Standards Alliance Perspective
Authors: Su Xiaomeng , Hu Jing , Wang Yilin ,   College of Economics and Management, China Jiliang University No.258 Xueyuan Street, Xiasha Higher Education District, Hangzhou 310018, China,   Zhongchao Ink Co., Ltd. No.288 Xiuyan Road, Nanhui District, Shanghai 201315, China
Published: July 2022

Taking the technical standards alliance (TSA) of strategic emerging industries as the sample, including China’s new energy vehicles, new-generation information technology, new materials, and high-end equipment manufacturing, the article empirically verified the impact of the external cooperation network and internal knowledge network of late-developing enterprises on their dual catch-up. The results showed that the appropriate centrality of the cooperative network promotes the exploitative catch-up and exploratory catch-up of late-developing enterprises. However, the excessive centrality blocked its exploratory catch-up. The structural hole of the cooperation network was conducive to the exploratory catch-up of late-developing enterprises, but not to their exploitative catch-up. The comprehensive cohesiveness of the knowledge network strengthened the positive impact of the centrality of the cooperation network on exploitative catch-up of late-developing enterprises, damaging the negative impact of the structural hole of the cooperation network on exploitative catch-up. The partial cohesiveness of the knowledge network positively adjusted the centrality of the cooperative network, the relationship between the structural hole and exploratory catch-up, and negatively adjusted the relationship between the centrality of the network and exploitative catch-up. By analyzing the differential impact of the dual network on two types of technology catch-up strategies of late-developing enterprises, the article deepened the theory of organizational duality. Meanwhile, the article contained innovation activities of late-developing enterprises in the TSA, which provided a new theoretical perspective and empirical basis for the combination of standardization of cooperation and innovation management theory.
The Effects of Social Network and Institutional Embeddedness on Household Consumption: Evidence from China Household Finance Survey
Authors: Ding Chaoxun , Zhang Ruidan ,   School of Management, Henan University of Science and Technology No.263 Kaiyuan Avenue, Luoyang, Henan 471023, China,   Development Planning Division, Henan University of Science and Technology No.263 Kaiyuan Avenue, Luoyang, Henan 471023, China
Published: July 2022

Consumer behavior is embedded in a certain social structure and social networks, and the scale and density of household social networks will be likely to affect consumption expenditure. To explore the impact of social networks and institutional embeddedness on household consumption, this study constructs a model of consumption influencing factors, and devises an empirical study using the data of China Household Finance Survey (CHFS). The results show some innovation. (1) The impact of household social networks on total household consumption is significant. A 1% increase in social networks spending boosts household consumption spending by 0.364%. (2) The institutional embeddedness will affect household consumption. Every 1% increase of social security account balance (the proxy variable of institutional embeddedness) can boost household consumption by 0.196%. This proves that the social insurance institution can enhance consumer confidence and promote current consumption growth. (3) The results of the robustness test confirmed that even after replacing the dependent variable with “the proportion of developmental consumption in total household consumption,” the influence of social networks and institutional embeddedness on consumption is still significant. Using the variable “communication expenses” instead of “gift income and expenditure” as the proxy variable of social networks, the estimation result is still robust. (4) Social networks have a significant influence on all types of household consumption except medical care consumption, but the degree of influence is different. Further discussion revealed that the estimation results are different for different regions in China, but the coefficients of core independent variables are not significantly different. This conclusion is different from people’s intuition, which holds that people in regions with low economic development rely more on social communication and spend more on social communication to maintain a certain social status. The conclusion of this paper is of great significance for formulating policies and institutions affecting residents’ consumption.
Minor Trauma Caused High-Grade Lumbosacral Spondylolisthesis After Short-Segment Lumbar Fusion
Authors: Le Anh X. , Patel Vikas V. , Campos Joshua C.
Published: July 2022

Case:

Ten days after L3-L5 instrumented posterior lumbar spinal fusion, an 85-year-old woman developed Grade 4 spondylolisthesis at L5-S1 after a minor fall. She underwent posterior open reduction and internal fixation with extension of fusion from L2 to the pelvis. The preexisting hardware at L5 caused partial laceration of the right L5 nerve root. One year after surgery, computed tomography demonstrated maintenance of correction and fusion at L5-S1.

Conclusion:

High-grade lumbosacral spondylolisthesis can occur with minor trauma after short-segment lumbar fusion. Maintenance of correction and fusion is achievable with posterior open reduction and internal fixation to the pelvis alone. Preexisting hardware can damage nerve roots causing permanent neurological deficits.
The Link between Serum Omentin Level and Insulin Resistance Biomarkers, Lipid Profile, and Atherogenic Indices in Iraqi Obese Patients.
Authors: Kadium Tahrir Etihad , Alrubaie Abdulhadi , Ghanim Salim Abd Mohammed
Published: July 2022

Omentin (or intelectin) is a main visceral fat secretory adipokine.  There is a growing interest to link omentin, obesity and co-morbidity factors. The aim of the present study is to evaluate serum omentin and its association to insulin resistance biomarkers, lipid profile and atherogenic indies. This cross – sectional study was conducted in Obesity Research and Therapy Unit-Alkindy College of Medicine by recruiting (115) individuals; 49 males /66 females. Subjects between (20 to 60) years of age were selected and classified into two groups according to their Body mass index (BMI). Group1 involved healthy lean volunteers (25 male/ 36 female; BMI 18.5 - 24.9). Group2 involved obese subjects; (24 male / 36 female with BMI ≥ 30). The study shows that obese group has higher omentin levels compared to the healthy lean group (15.49 ± 4.20 vs. 10.15 ± 5.04 pg/ml, P <0.001). In addition; obese group exhibited significantly higher levels waist circumference (WC), waist to hip ratio (WHR), glucose, insulin, homeostatic module of insulin resistance (HOMA2-IR) and lipid profile and lower levels of HDL-Chol (P <0.05). Omentin levels were significantly and positively correlated with WC, WHR, BMI, glucose, hemoglobin A1c, HOMA2-IR, triglyceride, total cholesterol, low density lipoproteins - cholesterol, triglyceride to glucose index (TyG index) and atherogenic index of plasma (AIP); (P< 0.05). Multiple regression analysis established that omentin levels was found to be associated with glucose, total Chol, TyG index and AIP in total population. These findings indicate that serum omentin levels are higher in obese individuals compared to lean subjects. Furthermore, omentin was linked to insulin resistance biomarkers and other risk factors indices such as AIP and TyG. Omentin can be used as a metabolic marker in obese.
Efficient Approach for Solving (2+1) D- Differential Equations
Authors: Tawfiq Luma N. M. , Hussein Noor A.
Published: July 2022

In this article, a new efficient approach is presented to solve a type of partial differential equations, such (2+1)-dimensional differential equations non-linear, and nonhomogeneous. The procedure of the new approach is suggested to solve important types of differential equations and get accurate analytic solutions i.e., exact solutions. The effectiveness of the suggested approach based on its properties compared with other approaches has been used to solve this type of differential equations such as the Adomain decomposition method, homotopy perturbation method, homotopy analysis method, and variation iteration method. The advantage of the present method has been illustrated by some examples.
3-D Packing in Container using Teaching Learning Based Optimization Algorithm
Authors: Fitriyani Linda , Zerinda Larissa Alva , Pratiwi Asri Bekti , Winarko Edi
Published: July 2022

The paper aims to propose Teaching Learning based Optimization (TLBO) algorithm to solve 3-D packing problem in containers. The objective which can be presented in a mathematical model is optimizing the space usage in a container. Besides the interaction effect between students and teacher, this algorithm also observes the learning process between students in the classroom which does not need any control parameters. Thus, TLBO provides the teachers phase and students phase as its main updating process to find the best solution. More precisely, to validate the algorithm effectiveness, it was implemented in three sample cases. There was small data which had 5 size-types of items with 12 units, medium data which had 10 size-types of items with 106 units, and large data which had 20 size-types of items with 110 units. Moreover, it was also compared with another algorithm called Gravitational Search Algorithm (GSA). According to the computational results in those example cases, it can be concluded that higher number of population and iterations can bring higher chances to obtain a better solution. Finally, TLBO shows better performance in solving the 3-D packing problem compared with GSA.
Recent advances in the Biosynthesis of Zirconium Oxide Nanoparticles and their Biological Applications
Authors: Alsharari Salam S , Alenezi Muneefah A. , Al Tami Mona S. , Soliman Mohammed
Published: July 2022

A critical milestone in nano-biotechnology is establishing reliable and ecological friendly methods for fabricating metal oxide NPs. Because of their great biodegradable, electrical, mechanical, and optical qualities, zirconia NPs (ZrO2NPs) attract much interest among all zirconia NPs (ZrO2NPs). Zirconium oxide (ZrO2) has piqued the interest of researchers throughout the world, particularly since the development of methods for the manufacture of nano-sized particles. An extensive study into the creation of nanoparticles utilizing various synthetic techniques and their potential uses has been stimulated by their high luminous efficiency, wide bandgap, and high exciton binding energy. Zirconium dioxide nanoparticles may be used as antimicrobial and anticancer agents in food packaging. In response to the growing interest in nano ZrO2, researchers invented and developed methods for synthesizing nanoparticles. ZrO2 nanocomposites with various morphologies have recently been created using biological (green chemistry) methods. Microbes and plants both contribute to the production of zirconia in the laboratory. Capping and stabilizing agents are provided by the biomolecules found in plant extracts, whereas microorganisms provide enzymes as capping and stabilizing agents (intracellular or extracellular). It is possible to analyze the nanoparticles produced using a variety of analytical approaches, including ultraviolet-visible spectroscopy, X-ray diffraction (XRD), transmission electron microscopy (TEM), and Fourier transform infrared spectroscopy (FT-IR). When applied to bacteria (both Gram-positive and Gram-negative) and fungi, ZrO2NPs show promising antibacterial capabilities. Normal and malignant cells are sensitive to ZrO2 nanoparticles, which can be explained by the generation of reactive oxygen (ROS). This work discusses and describes many ways of producing ZrO2 nanoparticles, their properties, and various application possibilities.
A novel target for cancer therapy on the RNA stimulation by FUBP1- interacting repressor (FIR) via TFIIH/P62
Authors: Kitamura Kouichi , Hoshino Tyuji , Okabe Atsushi , Fukuyo Masaki , Rahmutulla Bahityar , Tanaka Nobuko , Kobayashi Sohei , Tanaka Tomoaki , Shida Takashi , Ueda Mashiro , Minamoto Toshinari , Matsubara Hisahiro , Kaneda Atsushi , Matsushita Kazuyuki
Published: July 2022

This study indicated the novel impaired mechanism of ribosomal RNA (rRNA) transcription that causes cancer development. Human transcription factor IIH (TFIIH) is an essential factor with a seven-subunit core, including the P62 subunit, and is pivotal for DNA repair and transcription. Three RNA polymerases (RNAPs), RNAPI, II and III, possess a common RPB6 subunit that interacts with P62 of TFIIH. The FUBP1-interacting repressor (FIR) is a transcriptional suppressor of c-myc via suppressing DNA helicase activity of TFIIH. This study showed that FIR contains a highly conserved acidic string region, like the region of the RPB6 subunit of RNAPI. Knockdown of FIR by siRNA suppressed P62 expression in vivo in cancer cells. The isothermal titration calorimetry (ITC) measurements revealed the molecular interaction between the authentic FIR rather than FIRΔexon2, a dominant-negative splicing form of FIR that lacks the transcriptional repression domain exon2, and P62. Furthermore, knockdown of FIR and FIRΔexon2 by siRNA led to dynamic changes in ribosomal RNA (rRNA) expression assessed by RNA-seq analysis. A qRT-PCR analysis confirmed that FIR and FIRΔexon2 significantly changed the expression of numerous rRNAs on specific chromosomes. Moreover, small molecular chemical compounds against FIR and FIRΔexon2 were screened among 23,275 chemicals by Natural Product Depository (NPDepo) Array at RIKEN (Japan). Among them, BK697 that potentially binds FIR and FIRΔexon2 significantly inhibited tumor cell growth with the suppression of ribosomal proteins, FIR, and FIRΔexon2 expression. In summary, FIR and FIRΔexon2 provide a novel insight into cell proliferation by stimulating dynamic ribosome biosynthesis and a hint of therapeutic strategy.
A partially block randomized extended Kaczmarzmethod for solving large overdetermined insistentlinear systems
Authors: Zhang Bu-Yue , Huang Guang-Xin
Published: July 2022

This paper presents a partial block random extended Kaczmarz (PBREK) method for solving large overdetermined inconsistent linear system of equations $Ax=b$. It is proved that the proposed PBREK method converges to the least squares solution of $Ax=b$. Several examples are given to show the effectiveness of the proposed PBREK method, and it is compared with the PREK algorithm.
Sexual function index adaptation for breast cancer patients (FSFI-BC)- Translation and Psychometric properties of Iranian version
Authors: Masjoudi Marzieh , Keshavarz Zohre , Akbari Mohammad Esmaeil , Kashani Farah Lotfi , Nasiri malihe , Mirzaei Hamidreza
Published: July 2022

Background- Effective interventions to improve sexual dysfunction in breast cancer survivors need screening of these dysfunctions with a suitable instrument. The aim of present study was translation and identifying psychometric properties of FSFI-BC which has been specifically developed for breast cancer survivors. Method-Forward and backward method was used for translating of the scale from English into Persian. 200 breast cancer survivors in stage 1 or 2 completed the questionnaire. Reliability was assessed by Cronbach’s alfa and test re-test analysis and construct validity with confirmatory and exploratory factor analysis.Results-The mean age of participants was 48.91(SD=9.758). Most women were housewives (74%) and mastectomy had been performed for 58% of them. Reliability evaluation indicated high internal consistency and good test re-test reliability. Confirmatory factor analysis showed an acceptable fitness for seven factor of FSFI-BC questionnaire (NFI= 0.9 for both groups, CFI= 0.93 and 0.92 , χ2/df= 1.68 and 1.71 for SA(Sexually Active) and NSA(No Sexually Active) individuals respectively) .Conclusion-Study findings suggest that Iranian version of FSFI-BC is a suitable instrument for sexual dysfunction screening in breast cancer survivors.
Feasibility and Safety of a Novel 3D-Printed Biodegradable Biliary Stent in an In Vivo Porcine Model: A Preliminary Study
Authors: Kim Jae Hyun , Ha Dong-Heon , Han Eui Soo , Choi YoungRok , Koh Jiwon , Joo Ijin , Kim Jeong Hoon , Cho Dong-Woo , Han Joon Koo
Published: July 2022

Purpose
To assess the feasibility and safety of a novel 3D-printed biodegradable biliary stent using polycaprolactone (PCL) in an in vivo porcine model
Materials and Methods
In this animal study using domestic pigs, biodegradable radiopaque biliary stents made of polycaprolactone (PCL) and barium sulfate were produced using 3D printing and surgically inserted into the common bile duct (CBD) of pigs (stent group, n = 12). Another five pigs were allocated to the control group that only underwent resection and anastomosis of the CBD without stent insertion. To check the position and status of the stents and stent-related complications, follow-up computed tomography (CT) was performed every month. The pigs were sacrificed 1 or 3 months after surgery, and their excised CBD specimens were examined at both the macroscopic and microscopic levels.
Results
Three pigs (one in the stent group and two in the control group) died within one day after surgery and were excluded from further analysis; the remaining 11 in the stent group and 3 in the control group survived the scheduled follow-up period (1 month, 5 and 1; and 3 months, 6 and 2 in stent and control groups, respectively). In all pigs, no clinical symptoms or radiologic evidence of biliary complications was observed. In the stent group (n = 11), stent migration (n = 1 at 3 months; n = 2 at 1 month) and stent fracture (n = 3 at 2 months) were detected on CT scans. Macroscopic evaluation of the stent indicated no significant change at 1 month (n = 3) or fragmentation with discoloration at 3 months (n = 5). On microscopic examination of CBD specimens, the tissue inflammation score was significantly higher in the stent group than in the control group (mean ± standard deviation (SD), 5.63 ± 2.07 vs. 2.00 ± 1.73; P = 0.039) and thickness of fibrosis of the CBD wall was significantly higher than that of the control group (0.46 ± 0.12 mm vs. 0.21 ± 0.05mm; P = 0.012).
Conclusion
Despite mild bile duct inflammation and fibrosis, 3D-printed biodegradable biliary stents showed good feasibility and safety in porcine bile ducts, suggesting their potential for use in the prevention of postoperative biliary strictures.
Study the Removal Efficiency of Chromium Ions Using Membrane by Electro _ Kinetic Technique from Sludge
Authors: Hadi Nabaa S. , Awadh Huda H.
Published: July 2022

In recent years, eletrokinetic (EK) remediation has become more popular as a novel method for removing chromium contamination from soil. This approach, however, is ineffective since it uses both cationic and anionic forms of chromium. In this work, a membrane-based technique was employed to increase the efficiency of eletrokinetic removal of chromium. Chromium removal from polluted sludge was studied in four bench-scale experiments, two of which have used a distilled water (EK-1, EK2&Membrane) and two of which have used acetic acid as a catholyte (EK-3, EK4&Membrane). The pH, total chromium, and fractionation of chromium in the sludge were measured after remediation. In the EK-1, EK-2&Membrane and EK-3, EK-4&Membrane trials, the average removal efficiency of total chromium was 47.6%, 58.6%, and 74.4%, 79.6%, respectively. In contrast to the eletrokinetic remediation strategy, which left around 80% of the sludge neutral or alkaline after treatment, the use of Membrane created acidic soil conditions throughout the sludge. For example, the high field intensity used in the Membrane tests may have helped to facilitate chromium desorption, dissolution and separation from the sludge, as well as enhancing chromium mobility. The findings show that Membrane can improve the effectiveness of chromium removal from sludge when utilized in the EK remediation process.