Top Ranking Research Articles

Remediation of soil contaminated with Mn, Cu and Zn around the Mbembele mine in Gabon: Phytoremediation approach (Vetiveria zizanioides and Phacelurus gabonensis)

The ability of Vetiveria zizanioides and Phacelurus gabonensis to accumulate copper (Cu), zinc (Zn) and manganese (Mn) in the aerial parts and to mobilise them in the roots is applied. This investigation is based on the in situ observation of these plants, their biomass and the evaluation of the translocation capacity of each metal from roots to aerial parts. A proliferation of both plants in culture was observed for three months, then harvested and analysed. Significant metal contents, on 250 mg of samples taken, are observed in the aerial parts of Phacelurus gabonensis (2028 ppm of Cu, 9 ppm of Zn and 7456 ppm of Mn) whereas (3854 ppm Cu, 268 ppm Zn 43005 ppm of Mn) in the roots. Vetiveria zizanioides records in the aerial parts 83 ppm Cu, 31 ppm Zn and 8761 ppm, Mn while in the roots there are 83 pm Cu, 1974 ppm Zn and 11930 ppm Mn. The ability to transfer these metals from the roots to the aerial parts is greater in Vetiveria zizanioides than in Phacelurus gabonensis despite the high metal concentrations in the aerial parts in Phacelurus gabonensis.The high concentrations of metals purified by Phacelurus gabonensis and Vetiveria zizanioides place them among the top ranks of phytoremediation.

The viral picture of well-being: Biggest concerns, losses, and unintended gifts of COVID-19 in the Philippines.

The COVID-19 pandemic revealed more than anticipated about global human functioning and resiliency. This Philippines-based study replicated a recent U.S. COVID analysis on psychological well-being (PWB). Factors examined herein were grouped into categories for analysis: 1) predictors of PWB, 2) areas of greatest stress or worry (biggest concerns), 3) perceived or real losses across SES, and 4) identified "unintended gifts" across PWB. Participants (n = 1345) were volunteers who responded to an online survey from August to September 2021, peak of the Delta variant. Three general groups of predictors (biological, psychological, and socio-economic) contributed to PWB. A regression model containing a total of 11 variables was significant, F(11, 1092) = 116.02, p < .00, explaining 53.9% of the variance. The model indicated PWB was significantly predicted by physical health, age, spirituality, emotional loneliness, social loneliness, sense of agency, and income. The strongest predictors of PWB were a sense of agency, social loneliness, and spirituality. Qualitative data analysis was conducted examining biggest concerns, losses due to COVID, and unintended gifts. Top ranking participant concerns were the health of family and friends, personal wellness, and governmental inefficiency/lack of concern. Losses compared to pre-COVID life were analyzed by SES group, with the most frequent responses being missing face-to-face interactions and the freedom to go/do what they please. Low SES groups were most likely to endorse missing everyday routine and experiencing changes in housing conditions due to the pandemic. Unintended gifts of COVID explored by PWB, high PWB individuals significantly appreciated intentional time with family and friends, deepening their spiritual lives, the ability to work from home, less pollution, and more time for physical exercise. Low PWB individuals reported nothing gained, except more time playing video games and watching TV. Those with higher PWB identified more unintended gifts of COVID and coped more actively.

Automatic Extraction of Indonesian Stopwords

The rapid growth of the Indonesian language content on the Internet has drawn researchers’ attention. By using natural language processing, they can extract high-value information from such content and documents. However, processing large and numerous documents is very time-consuming and computationally expensive. Reducing these computational costs requires attribute reduction by removing some common words or stopwords. This research aims to extract stopwords automatically from a large corpus, about seven million words, in the Indonesian language downloaded from the web. The problem is that Indonesian is a low-resource language, making it challenging to develop an automatic stopword extractor. The method used is Term Frequency – Inverse Document Frequency (TF-IDF) and presents a methodology for ranking stopwords using TFs and IDFs, which is applicable to even a small corpus (as low as one document). It is an automatic method that can be applied to many different languages with no prior linguistic knowledge required. There are two novelties or contributions in this method: it can show all words found in all documents, and it has an automatic cut-off technique for selecting the top rank of stopwords candidates in the Indonesian language, overcoming one of the most challenging aspects of stopwords extraction.

주택시장 안정을 위한 정책 방안의 중요도 분석

This study aims to present a direction for improvement by analyzing the relative importance of eacharea of housing policy in order to normalize and stabilize the housing market in the midst of a rapiddecline in the domestic housing market due to the global economic recession. First, areas requiringimprovement were derived due to excessive regulation among housing policies. Next, the relativeimportance of the housing policy items that need improvement was analyzed to suggest the direction forhousing policy improvement. As a result of analyzing the relative importance, the real estate financialsystem, the real estate tax system, the speculative demand suppression system, and the homelessperson-centered subscription system were found to be important in the order. Loan interest rates,LTV/DSR, capital gains tax, multi-homeowner heavy duty system, comprehensive real estate tax, andresale restrictions were recognized as the top rankings in the order of comprehensive ranking.Therefore,in order to restore the functioning of the housing market and pursue stabilization, first, the base interestrate should be stabilized to normalize the loan interest rate, and the LTV and DSR should be relaxed sothat end users do not have any obstacles in purchasing their own homes. Second, comprehensive realestate tax and capital gains tax should be alleviated. Comprehensive real estate tax needs to beintegrated with property tax or taxed based on net assets, and for capital gains tax, it is essential tolower the tax rate and ease the heavy tax rate for multi-homed people. Third, in order to recover fromthe slump in the real estate industry due to the decrease in real estate transaction volume, measures toalleviate the subject and period of resale restrictions are needed. This study is meaningful in that itempirically analyzed the need for improvement and the relative importance of each area of excessiveregulatory policy to overcome the housing market crisis, and suggested the direction of policyimprovement to normalize the housing market.

경쟁적 소비: 구매 순위, 경쟁 강도, 순위 공지 시점이 소비 성취감과 제품 품질 인식에 미치는 영향

The purpose of this research was to examine the effect of a purchase rank and competition strength on perceived achievement and perceived product quality. Results of a series of experiments showed that in high competition, consumers tended to perceive greater achievement and product quality when they were informed of a purchase rank compared to when a purchase rank was unknown. In low competition, consumers tended to perceive greater achievement and product quality when they were top-ranked in the purchase compared to when they were middle or bottom-ranked. Effects of a purchase rank (top, middle, bottom rank) on achievement and perceived product quality were not found in the high competition. Furthermore, consumers tended to perceive greater achievement and product quality when a purchase rank was informed before purchase than after purchase. Theoretical and practical implications were further discussed.

Evaluation of Usability of Korean Logistics in Life Startups’ Mobile Applications

The purpose of this paper was to evaluate the usability of Korean logistics in life (LIL) startups mobile apps that aim to provide more convenience and a better quality of life. Determining an app’s usability requires a different set of evaluation criteria from that of desktop sites or full sites due to the inherent characteristics of the mobile environment. This paper derived 10 evaluation criteria from a literature review, calculated the weights of each criterion, and performed a usability test for 14 Korean LIL apps involving 27 subjects. To highlight areas of improvement, a comparison was done using a top ranked app on Google Play which had the best score in terms of usability (in 10 items test) among the best Korean LIL app. The average usability score of the LIL apps represented an overall lack of high usability. The evaluation criteria of the apps showed higher scores in the error-free, prediction, and consistency variables categories. In contrast, this was not the case for effectiveness, usefulness, and interaction, which were relatively low. Usability and interest had a slightly negative relationship when implementing big data analytics. From the quadrants analysis, it was found that for most of the evaluation criteria, continuous improvement was needed. As a result of logistics 4.0, the number of LIL apps is growing rapidly. This paper is the first to define the concept of LIL and develop an evaluation model for usability, which was then used to identify the ease of use, learnability, effectiveness, and efficiency of representative LIL apps in Korea.

Evaluation of Covid-19 Pandemic in OECD Countries by Multi-Criteria Decision Making Methods

Amaç: OECD ülkelerinin Covid-19 performanslarına ilişkin kantitatif bir değerlendirme sunma hedefi ile yola çıkılmış, belirlenen parametreler doğrultusunda ülkelerin göreceli bir değerlendirmesini sunmak amaçlanmıştır. &#x0D; Yöntem: Bu amaç doğrultusunda, çok kriterli karar verme (ÇKKV) yöntemlerinden ENTROPI, ARAS ve TOPSIS kullanılmıştır. OECD ülkeleri çalışmanın evrenini oluşturmaktadır. Hollanda, hekim ve hemşire sayılarına ulaşılamadığından, Kosta Rika ise, 25 Mayıs 2021 tarihinde OECD üyesi olduğundan değerlendirme dışı kalmıştır. Çalışma 36 ülke ile gerçekleştirilmiştir. Belirlenen 8 değerlendirme kriteri, Covid-19 pandemisine ilişkin verilerden ve ülkelerin sağlık göstergelerinden oluşmaktadır. Kriterlere ilişkin değerler internet sitelerinden 02.04.2021 tarihinde elde edilmiştir. Verilerin analizinde Excel Programı kullanılmıştır. &#x0D; Bulgular: ENTROPI yöntemiyle kriter önem ağırlıklarının belirlenmesi sonucunda, en az bir doz Covid-19 aşılama oranı (%), 1.000.000 nüfus başına Covid-19 ölüm sayısı, kişi başı cari sağlık harcaması ($), 1.000.000 nüfus başına Covid-19 vaka sayısı ve 1.000 kişiye düşen hastane yatağı sayısı kriterlerinin ilk beş sırada yer aldığı bulunmuştur. ARAS yöntemi sonucunda elde edilen sıralamada ABD, Birleşik Krallık ve İsrail; TOPSIS yöntemi sonucunda elde edilen sıralamada İsrail, Norveç ve Birleşik Krallık üst sıralarda yer almıştır. &#x0D; Sonuç ve Öneriler: Covid-19 pandemi süreci her ne kadar olumsuz olsa da, sağlık sistemleri ve toplumlar için öğretici olmuş, yetersiz kalan alanlarda iyileştirme yapılması ve yeni stratejiler geliştirilmesi gerekliliğini ortaya koymuştur. Covid-19 pandemisi sonrası ülkelerin; sağlık sistemlerinde iyileştirmeler yapmaya, bozulan ekonomilerini yeniden inşa etmeye, gelecekte yaşanabilecek olası salgınlara, krizlere ve evrensel çapta değişikliğe neden olabilecek olaylara hazırlanmaya odaklanmaları önerilebilir.

Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study.

Previous research has shown the feasibility of using machine learning models trained on social media data from a single platform (eg, Facebook or Twitter) to distinguish individuals either with a diagnosis of mental illness or experiencing an adverse outcome from healthy controls. However, the performance of such models on data from novel social media platforms unseen in the training data (eg, Instagram and TikTok) has not been investigated in previous literature. Our study examined the feasibility of building machine learning classifiers that can effectively predict an upcoming psychiatric hospitalization given social media data from platforms unseen in the classifiers' training data despite the preliminary evidence on identity fragmentation on the investigated social media platforms. Windowed timeline data of patients with a diagnosis of schizophrenia spectrum disorder before a known hospitalization event and healthy controls were gathered from 3 platforms: Facebook (254/268, 94.8% of participants), Twitter (51/268, 19% of participants), and Instagram (134/268, 50% of participants). We then used a 3 × 3 combinatorial binary classification design to train machine learning classifiers and evaluate their performance on testing data from all available platforms. We further compared results from models in intraplatform experiments (ie, training and testing data belonging to the same platform) to those from models in interplatform experiments (ie, training and testing data belonging to different platforms). Finally, we used Shapley Additive Explanation values to extract the top predictive features to explain and compare the underlying constructs that predict hospitalization on each platform. We found that models in intraplatform experiments on average achieved an F1-score of 0.72 (SD 0.07) in predicting a psychiatric hospitalization because of schizophrenia spectrum disorder, which is 68% higher than the average of models in interplatform experiments at an F1-score of 0.428 (SD 0.11). When investigating the key drivers for divergence in construct validities between models, an analysis of top features for the intraplatform models showed both low predictive feature overlap between the platforms and low pairwise rank correlation (<0.1) between the platforms' top feature rankings. Furthermore, low average cosine similarity of data between platforms within participants in comparison with the same measurement on data within platforms between participants points to evidence of identity fragmentation of participants between platforms. We demonstrated that models built on one platform's data to predict critical mental health treatment outcomes such as hospitalization do not generalize to another platform. In our case, this is because different social media platforms consistently reflect different segments of participants' identities. With the changing ecosystem of social media use among different demographic groups and as web-based identities continue to become fragmented across platforms, further research on holistic approaches to harnessing these diverse data sources is required.

Comparison And Evaluation Of Drought Indices Using Analytical Hierarchy Process (Ahp) Over Raichur District, Karnataka

The Raichur district is considered as a drought prone area in Karnataka. The study was carried out to compare and evaluate the performance of six drought indices in the study area namely Standardized precipitation index (SPI), Standardized precipitation evapotranspiration index (SPEI), China Z index (CZI), Deciles, Percent Normal (PN) and Rainfall anamoly index (RAI). A time series of six drought indices were compared and evaluated using histogram and analytical hierarchy process (AHP). The histogram of six drought indices showed that PN, Deciles and RAI showed higher frequency of extreme drought events which is considered as misleading in analysis. During the evaluation of the indices no bias was done between the indices. SPI and CZI moved to the top rank mainly due to their robustness and sophistication in nature. Whereas, PN moved to the second position mainly because of its higher simplicity compared to other indices with a score of 18.49 (SPI), 18.10 (PN) and 17.99 (CZI). The SPEI was observed to score higher in robustness and sophistication, due to lack of tractability and transparency was observed to be lagged. Furthermore indices like RAI and deciles were observed to score very good rank under transparency and tractability. PN was observed to least in robust, thought the PN has scored the 2nd position it is highly not recommended for adaptation for the studies due to its unreasonably capturing of extreme droughts. Looking over all pros and cons of all indices SPI was evaluated as perfect index for the selected study area.

EFL University Students’ Self-Regulated Writing Strategies: The Role of Individual Differences

Background. Self-regulated learning strategies play an essential role in the success of students’ learning of writing. The use of these strategies might be influenced by the student’s individual differences.&#x0D; Purpose. This study was conducted to describe EFL university students’ preferences for self-regulated writing strategies. It also examined the different use of self-regulated writing strategies by considering gender, interest in English writing, and writing achievement. Further, it measured the predictive effects of self-regulated writing strategies on the students’ writing achievement.&#x0D; Methods. This research applied a quantitative approach and involved 58 English students. The students were required to respond to a self-report survey using the Self-Regulated Learning Strategy Questionnaire. The students’ writing achievement was measured based on their scores in writing an argumentative essay. The data were then analyzed using descriptive statistics, an independent sample t-test, One Way Anova, and multiple regression.&#x0D; Results. The results uncovered that the overall use of self-regulated writing strategies was at a high level with the social environment strategy dimension on the top rank and motive on the bottom. Further analysis showed that there is no significant difference in the use of self-regulated writing strategies based on gender, interest in English writing, and writing achievement. Meanwhile, multiple regression analysis indicated the predictive effect of self-regulated writing strategies on writing achievement. To this end, teachers need to encourage students to use self-regulated writing strategies more optimally to enhance their writing quality.&#x0D; Conclusion. EFL students have invested high awareness of using self-regulated writing strategies. Along with this high awareness, students’ individual differences such as gender, interest in English writing, and proficiency level might not strongly influence the use of SRW strategies. Though not strong, the use of self-regulated writing strategies contributes to the students’ writing quality improvement.

A A Bibliometric Review of Basketball Game: Publication Trends Over the Past Five Decades

This study aims to examine the evolution of basketball-related scientific publications in the Scopus database by using a variety of bibliometric indicators, such as publication trends, the most influential countries, the most productive authors, and author keywords. From 1969 until 2021, the Scopus database registered 584 basketball publications. This review scrutinised the bibliographic results using Microsoft Excel, Publish or Perish (PoP), and VOSviewer. The production pattern fluctuated throughout the year, but after 2011 it climbed dramatically. In 2006, publications on basketball research had increased to double digits, with 11 documents. Significantly, between 2020 and 2021, 140 publications were published, with 66 in 2020 and 74 in 2021 indicating scholarly interest. The United States is the most productive country, with 210 academic works. J. Sampaio and J. Yanci were the most prolific authors. The Universidad de Granada rose to the top of the productivity rankings. This study has several limitations; the method applied in this study needs to clarify how to find, categorise, and use a database. It’s worth noting that data can also be obtained from other databases.

GLOBAL DIFFERENCES IN ADAPTATION TO SOCIETAL AGING: A CROSS-SECTIONAL COMPARISON OF 143 COUNTRIES

Abstract Societal ageing is our success story of advancing public health and medicine in reducing the risk of premature death, the control and prevention of diseases, and improvement in social and economic development. Almost all countries are experiencing growth in size and proportion of older persons. In 2019, 703 million older persons were aged 65 and above, projected to double to 1.5 billion by 2050. We construct a multidimensional ageing Index that extends the Ageing Society Index, to account for global differences in societal ageing from 2015 to 2019 for 18 OECD countries. The Index is a weighted sum of scores for five domains that are important for societal ageing: well-being, productivity and engagement, equity, cohesion, and security. We compare the overall index and domain scores between countries. High-income countries dominated the top rankings. The overall Ageing Society Index ranged between 35.0 for Gabon in Africa to 74.6 for Switzerland in Europe. Top-performing countries were high-income countries from the European and Oceania regions, while the worst-performing countries were countries from the African region. Domain scores ranged from 19 (India) to 91.6 (Singapore) for well-being, 12.8 (Mozambique) to 88.5 (Finland) for equity, 32.8 (Gabon) to 88.8 (Uzbekistan) for cohesion, and 27.8 (Madagascar) to 88.8 (Switzerland) for security. Our multidimensional index helps identify specific societal gaps for policymakers to address. Furthermore, the cross-country comparison can be instructive for policymakers to adapt the experiences of successful countries to domestic policies.

BARRIERS AND FACILITATING FACTORS TO HEALTH MANAGEMENT TECH ADOPTION IN A RURAL MEALS ON WHEELS SAMPLE

Abstract Meals on Wheels clients served through the aging network represent a significant population of high need older adults who could benefit from health management technology. This poster presents the results of a study targeting Meals on Wheels clients in four rural U.S. counties on opportunities and barriers to adoption of technology-based health management interventions. Paper surveys were provided to 690 Meals on Wheels clients and 154 were returned (22.3% response rate). The mean age of respondents was 71.7 years and the sample was composed of 39% men and 61% women. When asked to select the most valuable features of home health management technology, 42% indicated vital signs monitoring, followed by remote access to classes and events at Area Agencies on Aging (21%), and video visits with medical providers (20%). When asked about current technology usage, 48% indicated never having engaged in a telehealth visit over a computer, smartphone or tablet. Top ranking barriers to health management technology utilization were affordability and privacy concerns. A majority (61%) of the sample disagreed or strongly disagreed that they have the money to afford a computer, smart phone, or tablet and 69% agreed or strongly agreed that they are concerned about privacy or scams when using the internet. Approximately four in ten (38%) are interested in using technology to manage their health. Additionally, 45% reported using a smartphone. The poster will also explore demographic differences in older consumer perceived barriers and opportunities and programmatic implications for expanding health management technology adoption.

Analisis Kinerja Bank Syariah Negara OKI pada Era Digital: Studi Masa Pandemi Covid-19

This study aims to analyze the performance of Islamic banks in OKI countries in the digital era during the pandemic. This research is a quantitative research with a descriptive approach. The sample in this study was selected based on a purposive sampling technique in order to obtain nine Islamic Cooperation Organization (OKI) countries with the top rankings according to the Asian Banker in 2020. Secondary data in this study were in the form of quarterly financial reports for the 2020 observation period. The data analysis technique used descriptive statistics for provides a complete picture of the financial performance of Islamic banks during the Covid-19 pandemic. The results show that the performance of Islamic banks in the nine OKI countries was not affected during the Covid-19 pandemic. On the other hand, the Covid-19 pandemic has actually encouraged the digitization of digital banking services and transactions to maintain profits during the Covid-19 pandemic.

Corporate new venture development at Dahan Tricom: the case of a new B2B e-commerce business

Learning outcomes 1. Understand how the corporate lifecycle could trigger a necessity of making a tough decision to develop new business ventures based on the corporate lifecycle theory; and how changes in the external environment could hasten such a decision. 2. Analyze how a company can leverage its internal organizational structure to share and utilize cross-departmental resources and capabilities to support new venture businesses according to the synergy effect perspective. 3. Undertake a resource-based view analysis to evaluate the external and internal resources needed for corporate new venture development. 4. Identify the best course of action for the decision-maker by comparing, contrasting, applying and evaluating the two different models of corporate new venture development in the e-commerce business: the centralized organizational model and the decentralized organizational model and evaluate the pros and cons associated with each mode in the context of Dahan’s external and internal environments. Case overview/synopsis Since its inception in 2003, Dahan’s traditional business in SMS (Short Message Services) and data had gained thousands of customers across China and won top rankings in the industry. Despite its achievements, Dahan encountered difficulties when it entered the new e-commerce market, as the domain knowledge about the new business was very different from the domain knowledge in its traditional business. Furthermore, the emerging B2B e-commerce industry was very different from the traditional business in that the former mainly targeted corporate clients and the latter targeted individual customers in the B2C industry. This case examined the critical decisions that Xiaofen Huang, the CEO of Dahan E-Commerce Corporation and Co-Founder of Dahan Tricom Group, had to make and external, especially Internal, resources the Dahan Group needed in developing its new venture. Specifically, this case explored how Huang would go through the mental process to make the best possible decision to help the company not only to survive, but also thrive in the rapidly-changing and competitive digital environment: it urgently needed to finalize an organizational incubation model to support the further development of its e-commerce and future new venture activities with two options to choose from: the centralized organizational model or the decentralized organizational model. A key challenge facing Huang was to decide which option was best suited to motivate salespeople in different departments to help one another, especially in the new B2B e-commerce business and to grow that new business. In the case, Dahan’s growth aspirations and its motivation to transform its traditional business into a new e-commerce business were discussed. Second, when external challenges were examined, how Dahan explored the B2B e-commerce business using a trial-and-error learning process was explained. Third, when internal challenges were examined, how Dahan incubated its new B2B e-commerce business and its practices for leveraging and sharing resources/capabilities, as well as cross-departmental and cross-divisional collaboration through a resource-based lens, were illustrated. Last, the most critical learning in the case presented an immediate decision-making dilemma on which organizational incubation models to choose from for further new business development, where students learn to analyze both external and internal factors and consider Dahan’s available resource and founder’s aspiration, available strategic options to derive a best possible decision to suit the stage of the company’s lifecycle and founders’ vision. Complexity academic level This case was designed for use in undergraduate courses on corporate innovation, new venture development, corporate innovation, corporate entrepreneurship, e-commerce and growth. Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

Outcomes of open vs laparoscopic vs robotic vs transanal total mesorectal excision (TME) for rectal cancer: a network meta-analysis.

Total mesorectal excision (TME) for rectal cancer can be achieved using open (OpTME), laparoscopic (LapTME), robotic (RoTME), or transanal techniques (TaTME). However, the optimal approach for access remains controversial. The aim of this network meta-analysis was to assess operative and oncological outcomes of all four surgical techniques. Ovid MEDLINE, EMBASE, and PubMed databases were searched systematically from inception to September 2020, for randomised controlled trials (RCTs) comparing any two TME surgical techniques. A network meta-analysis using a Bayesian random-effects framework and mixed treatment comparison was performed. Primary outcomes were the rate of clear circumferential resection margin (CRM), defined as > 1mm from the closest tumour to the cut edge of the tissue, and completeness of mesorectal excision. Secondary outcomes included radial and distal resection margin distance, postoperative complications, locoregional recurrence, disease-free survival, and overall survival. Surface under cumulative ranking (SUCRA) was used to rank the relative effectiveness of each intervention for each outcome. The higher the SUCRA value, the higher the likelihood that the intervention is in the top rank or one of the top ranks. Thirty-two RCTs with a total of 6151 patients were included. Compared with OpTME, there was no difference in the rates of clear CRM: LapTME RR = 0.99 (95% (Credible interval) CrI 0.97-1.0); RoTME RR = 1.0 (95% CrI 0.96-1.1); TaTME RR = 1.0 (95% CrI 0.96-1.1). There was no difference in the rates of complete mesorectal excision: LapTME RR = 0.98 (95% CrI 0.98-1.1); RoTME RR = 1.1 (95% CrI 0.98-1.4); TaTME RR = 1.0 (95% CrI 0.91-1.2). RoTME was associated with improved distal resection margin distance compared to other techniques (SUCRA 99%). LapTME had a higher rate of conversion to open surgery when compared with RoTME: RoTME RR = 0.23 (95% CrI 0.034-0.70). Length of stay was shortest in RoTME compared to other surgical approaches: OpTME mean difference in days (MD) 3.3 (95% CrI 0.12-6.0); LapTME MD 1.7 (95% CrI -1.1-4.4); TaTME MD 1.3 (95% CrI -5.2-7.4). There were no differences in 5-year overall survival (LapTME HR 1.1, 95% CrI 0.74, 1.4; TaTME HR 1.7, 95% CrI 0.79, 3.4), disease-free survival rates (LapTME HR 1.1, 95% CrI 0.76, 1.4; TaTME HR 1.1, 95% CrI 0.52, 2.4), or anastomotic leakage (LapTME RR = 0.92 (95% CrI 0.63, 1.1); RoTME RR = 1.0 (95% CrI 0.48, 1.8); TaTME RR = 0.53 (95% CrI 0.19, 1.2). The overall quality of evidence as per Grading of Recommendations Assessment, Development and Evaluation (GRADE) assessments across all outcomes including primary and secondary outcomes was deemed low. In selected patients eligible for a RCT, RoTME achieved improved distal resection margin distance and a shorter length of hospital stay. No other differences were observed in oncological or recovery parameters between (OpTME), laparoscopic (LapTME), robotic (RoTME), or trans-anal TME (TaTME). However, the overall quality of evidence across all outcomes was deemed low.

Перемога у війні за незалежність, побудова розвиненої економіки та соціальної держави: позитивний досвід Фінляндії для України

This paper aims to identify the features of Finland’s postwar development, which ensured the successful reconstruction and creation of a welfare state and to formulate recommendations for Ukraine’s postwar recovery on this basis. In order to realize the goal, the author consistently revealed the relevance and importance of the selected research issues and emphasized the importance of reviewing the historical and economic development of the Nordic countries in order to identify the mechanisms and tools of postwar reconstruction. Analyzing the Finnish experience is particularly important given: (1) the fact that Finland, in a short period, managed to make a leap and catch up with the leading countries in terms of economic indicators, even though among the Nordic countries, it was the last on the list of catch-ups; (2) indicators of success and economic development of modern Finland, in particular, entering the top rankings of competitiveness and human capital index; (3) similar historical context of Finland and Ukraine. A brief overview of the Finland–Russia relations history gives a deeper understanding of the reasons for the constant consideration of the USSR’s interests during the postwar period. It explains the commitment to the consensus policy, thanks to which Finland saved its independence, despite significant economic and territorial losses. Based on Finland’s historical experience analysis, the author formulated recommendations that can be implemented in the war economy and postwar reconstruction conditions. Emphasis is placed on the need to preserve, return and increase the human capital of Ukraine. The author concludes that Finland took place as an independent state thanks to institutions’ transparency too. In Ukrainian realities, this aspect can be of decisive importance in the issue of implementing postwar reconstruction programs.

Finding early adopters of innovation in social networks

Social networks play a fundamental role in the diffusion of innovation through peers’ influence on adoption. Thus, network position including a wide range of network centrality measures has been used to describe individuals’ affinity to adopt an innovation and their ability to propagate diffusion. Yet, social networks are assortative in terms of susceptibility and influence and in terms of network centralities as well. This makes the identification of influencers difficult especially since susceptibility and centrality do not always go hand in hand. Here, we propose the Top Candidate algorithm, an expert recommendation method, to rank individuals based on their perceived expertise, which resonates well with the assortative mixing of innovators and early adopters in networks. Leveraging adoption data from two online social networks that are assortative in terms of adoption but represent different levels of assortativity of network centralities, we demonstrate that the Top Candidate ranking is more efficient in capturing innovators and early adopters than other widely used indices. Top Candidate nodes adopt earlier and have higher reach among innovators, early adopters and early majority than nodes highlighted by other methods. These results suggest that the Top Candidate method can identify good seeds for influence maximization campaigns on social networks.

Modeling Barriers in Circular Economy Using TOPSIS: Perspective of Environmental Sustainability &amp; Blockchain-IoT Technology

Climate change poses a real risk, as does a shortage of resources to accommodate the world's rising population. Every nation is trying to produce maximum without caring for the environment. As a result, the circular economy (CE) is critical to the long-term sustainability of society, business and the environment. Government and policymakers are forcing industries and organizations to adopt or establish CE in their businesses to protect the environment. However, the concept of CE is unclear, and there are various hurdles and barriers to adopting a CE in industries and organizations. For a sustainable environment, CE barrier management plays a crucial role. This paper aims to explore and prioritize barriers to establishing a CE. A detailed methodological literature review is carried out to explore the twenty-nine barriers in CE. The various barriers to CE are prioritized using the Multi-criteria decision-making methods Order of Preference by Similarity to Ideal Solution (TOPSIS). Based on the TOPSIS barrier of increased emission and pollution while recycling was found to be a top rank and the barrier of tedious environmental regulations and lack of government support was found to be at the lowest rank. The top priorities are the barriers to increasing emission and pollution while recycling, radically changing production, and lack of public participation in using recycled products. The Blockchain-IoT architecture and strategies are developed to mitigate all these barriers. As in CE, resources are not ending as these are recyclables since products are made to last several life cycles. Product's lifespans are extended by maintaining, repairing and re-manufacture to reduce carbon footprints in the environment. This barrier ranking will help supply chain professionals and business executives analyze the failure to implement CE in industries. Strategies and architecture based on blockchain-IoT will also help in mitigating the barrier in CE. This study will give new dimensions for the adaption of CE in industries. CE will create sustainable ecosystems for soil, air and water. These sustainable ecosystems provide a long and healthy life for all living things on this planet.

Assessment of Carbon Fiber Reinforced Plastic (CFRP) composites Using COPRAS Method

The influence of concrete strength and between concrete and CFRP composites considering the type of interaction, Exterior of reinforced concrete beams Optimum composition of CFRP composites for reinforcement and is to reach the number of layers. (i) machinability Chip removal mechanisms, cutting force, tool wear, Surface roughness, deformation and uncut of CFRP including properties of fibers; (ii) CFRP Cutting tool requirements for machining; and (iii) recent Industry solutions: cutting tools, coatings and Advanced edge geometry of technologies. CFRP composite, dry carbon fiber adhesive system. Tensile strength, tensile modulus, Air weight. From the result is based on is the result seen and got the Tensile modulus first grade, whereas the Density having the lowest rank. The value of the dataset for CFRP composites in COPRAS method shows that it results in tensile modulus and top ranking.