Exploring the effects of consumers’ trust : a predictive model for satisfying buyers’ expectations based on sellers’ behaviour in the marketplace

In recent years, Consumer-to-Consumer (C2C) marketplaces have become very popular among Internet users. However, compared to traditional Business-to-Consumer (B2C) stores, most modern C2C marketplaces are reported to be associated with stronger negative sentiments among consumers. These negative sentiments arise from the inability of sellers to meet certain buyers’ expectations and are linked to the low trust relationship among sellers and buyers in C2C marketplaces. The growth of these negative emotions might jeopardize buyers’ decisions to opt for C2C marketplaces in their future purchase intentions. In the present study, we extend the definition of trust as an emotion to cover the digital world and demonstrate the trust model currently used by most online stores. Based on the buyer’s behaviour in the C2C marketplace, we propose a conceptual framework to predict trust between the buyer and the seller. Given that C2C marketplaces are rich sources of data for trust mining and sentiment analysis, we perform text mining on Airbnb to predict the trust level in host descriptions of offered facilities. The data are acquired from the US city of Ashville, Alabama, and Manchester in the UK. The results of the analysis demonstrate that guest negative feedback in reviews are high when the description of the host’s property has the emotion of joy only. By contrast, guest negative sentiments in reviews are at a minimum when the host’s sentiment has mixed emotions (e.g., joy and fear)

The impact of eLearning as a knowledge management tool in organizational performance

This paper aims to understand the impact of eLearning capabilities on organizational performance. It also addresses the obstacles of organizational learning using eLearning methods and highlighting some emerging trends and technologies that will impact the eLearning experience in organizations. It examines a brief history of knowledge management and how it is related to learning, organizational learning, and performance. It also explores different eLearning technologies and trends. A systematic literature review was used to examine previous papers between 2016–2020. Results show eLearning can impact organizational performance in many ways, and human factors can be one of the most challenging obstacles in deploying eLearning solutions in organizations, and many emerging eLearning trends were explored including open educational resources, gamification, flipped classrooms, and many others

Phishing email detection using Natural Language Processing techniques : a literature survey

Phishing is the most prevalent method of cybercrime that convinces people to provide sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant messages, and phone calls are widely used to launch such cyber-attacks. Despite constant updating of the methods of avoiding such cyber-attacks, the ultimate outcome is currently inadequate. On the other hand, phishing emails have increased exponentially in recent years, which suggests a need for more effective and advanced methods to counter them. Numerous methods have been established to filter phishing emails, but the problem still needs a complete solution. To the best of our knowledge, this is the first survey that focuses on using Natural Language Processing (NLP) and Machine Learning (ML) techniques to detect phishing emails. This study provides an analysis of the numerous state-of-the-art NLP strategies currently in use to identify phishing emails at various stages of the attack, with an emphasis on ML strategies. These approaches are subjected to a comparative assessment and analysis. This gives a sense of the problem, its immediate solution space, and the expected future research directions

The Effect of Some Chemical Contaminants on Chloride Pollutant in Tigris River in Maysan Province

     تناولت هذه الـدراسة مشكلة التلوث الكيميائي والفيزيائي للمياه وكيفية معالجتها من خـلال تحليل البيانات التي تم الحصول عليها أحصائياً، وبنـاء معادلات تربط بين تراكيز الملوثات الكيميائية فـي مياه نهر دجلـة من خلال تقدير العـلاقة بين نسبة ملوث الكلوريدات Cl , وبعض الملوثات الكيميائية الأخرى , مما يـوفر لنـا إشارات سريعة تحدد صلاحية ماء نهر دجلة للاستعمالات اليومية لـه في محافظة ميسان، حيث استعملت طريقة المربعات الصغرى الاعتيادية لـتقدير العلاقة الخطية  بين كل ملوّث كـدالة من الملوثات الأخرى وبالنظر لـوجود عناصر بيئية ضعيفة الارتباط أو عديمة التأثير بالمتغير المعتمد استعملت طـريقة اختيار أفضل معادلـة انحدار تقديرية بـأسلوب الحذف الـعكسي (Backward Elimination) لاختيار العناصر ذات التأثير المعنوي فقط بغية بناء جداول للمؤشرات الإحصائية يمكن الرجوع إليها بسرعة لبيان مدى صلاحية الماء للاستعمالات اليومية. ومن اجل بناء أنموذج يمكننا من تفسير تركيز ايون الكلورايد Cl في مياه نهر دجلة تم أيجاد مصفوفة الارتباط البسيط التي تحدد قوة العلاقة الخطية بين ايون الكلوريدات  Clوبقية العناصر البيئية وفي نفس الوقت إيجاد معاملات الارتباط البسيط بين العناصر البيئية الأخرى لمعرفة مدى وجود تداخل في التأثير يؤدي إلى تضليل المستفيد من المعادلات التقديرية المستعملة لتقدير نسبة تركيز ايونات الكلوريدات  Clفي المياه، والتنبه إلى وجود مخاطر نتيجة استعمال هذه المياه، وتوصلت الدراسة إلى وجود فروق معنوية بين متوسط الكلوريدات Cl تبعاً لزمن تسجيل البيانات، كما تجاوز ملوث الكلوريدات Cl  المعدلات العالمية والعراقية المسموح بها وعدت المياه ملوثة.Abstract    This study deals with the problem of chemical and physical pollution of water and how to treat it by analyzing the data obtained statistically, and build statistical models linking the concentrations of chemical pollutants in the Tigris River water by estimating the correlation between the percentage of chloride contaminant and some other chemical pollutants, which provides us quick references. The validity of the Tigris River water is determined for its daily use in Maysan governorate. The method used to select the best estimated regression equation using (Backward Elimination) method , to select only those elements of significant effect in order to construct tables of statistical indicators that can be consulted quickly to indicate the suitability of water for daily use. In order to construct a model, we can explain the concentration of chloride ion in the Tigris River. The beneficiary of the estimated equations used to estimate the concentration of chloride ions in water, and to note the risks of the use of this water, the study found significant differences between the average chlorides according to the time of data recording, and exceeded the chloride contaminant International and Iraqi rates are allowed and water is contaminated

Transplantation of Skeletal Muscle-Derived Sca-1⁺/PW1⁺/Pax7⁻ Interstitial Cells (PICs) Improves Cardiac Function and Attenuates Remodeling in Mice Subjected to Myocardial Infarction

We have previously shown that skeletal muscle-derived Sca-1⁺/PW1⁺/Pax7⁻ interstitial cells (PICs) are multi-potent and enhance endogenous repair and regeneration. Here, we investigated the regenerative potential of PICs following intramyocardial transplantation in mice subjected to an acute myocardial infarction (MI). MI was induced through the ligation of the left anterior descending coronary artery in 8-week old male C57BL/6 mice. 5 × 10⁵ eGFP-labelled PICs (MI + PICs; n = 7) or PBS (MI-PBS; n = 7) were injected intramyocardially into the border zone. Sham mice (n = 8) were not subjected to MI, or the transplantation of PICs or PBS. BrdU was administered via osmotic mini-pump for 14 days. Echocardiography was performed prior to surgery (baseline), and 1-, 3- and 6-weeks post-MI and PICs transplantation. Mice were sacrificed at 6 weeks post-MI + PICs transplantation, and heart sections were analysed for fibrosis, hypertrophy, engraftment, proliferation, and differentiation of PICs. A significant (\u1d631 < 0.05) improvement in ejection fraction (EF) and fractional shortening was observed in the MI-PICs group, compared to MI + PBS group at 6-weeks post MI + PICs transplantation. Infarct size/fibrosis of the left ventricle significantly (\u1d631 < 0.05) decreased in the MI-PICs group (14.0 ± 2.5%), compared to the MI-PBS group (32.8 ± 2.2%). Cardiomyocyte hypertrophy in the border zone significantly (\u1d631 < 0.05) decreased in the MI-PICs group compared to the MI-PBS group (330.0 ± 28.5 µM2 vs. 543.5 ± 26.6 µm2), as did cardiomyocyte apoptosis (0.6 ± 0.9% MI-PICs vs. 2.8 ± 0.8% MI-PBS). The number of BrdU+ cardiomyocytes was significantly (\u1d631 < 0.05) increased in the infarct/border zone of the MI-PICs group (7.0 ± 3.3%), compared to the MI-PBS group (1.7 ± 0.5%). The proliferation index (total BrdU+ cells) was significantly increased in the MI-PICs group compared to the MI-PBS group (27.0 ± 3.4% vs. 7.6 ± 1.0%). PICs expressed and secreted pro-survival and reparative growth factors, supporting a paracrine effect of PICs during recovery/remodeling. Skeletal muscle-derived PICs show significant reparative potential, attenuating cardiac remodelling following transplantation into the infarcted myocardium. PICs can be easily sourced from skeletal muscle and therefore show promise as a potential cell candidate for supporting the reparative and regenerative effects of cell therapie

A novel method for spectrophotometric determination of pregabalin in pure form and in capsules

<p>Abstract</p> <p>Background</p> <p>Pregabalin, a γ-amino-n-butyric acid derivative, is an antiepileptic drug not yet official in any pharmacopeia and development of analytical procedures for this drug in bulk/formulation forms is a necessity. We herein, report a new, simple, extraction free, cost effective, sensitive and reproducible spectrophotometric method for the determination of the pregabalin.</p> <p>Results</p> <p>Pregabalin, as a primary amine was reacted with ninhydrin in phosphate buffer pH 7.4 to form blue violet colored chromogen which could be measured spectrophotometrically at λ_max402.6 nm. The method was validated with respect to linearity, accuracy, precision and robustness. The method showed linearity in a wide concentration range of 50-1000 μg mL^-1with good correlation coefficient (0.992). The limits of assays detection was found to be 6.0 μg mL^-1and quantitation limit was 20.0 μg mL^-1. The suggested method was applied to the determination of the drug in capsules. No interference could be observed from the additives in the capsules. The percentage recovery was found to be 100.43 ± 1.24.</p> <p>Conclusion</p> <p>The developed method was successfully validated and applied to the determination of pregabalin in bulk and pharmaceutical formulations without any interference from common excipients. Hence, this method can be potentially useful for routine laboratory analysis of pregabalin.</p

Screening for adulticidal bioactivity of South African plants against Anopheles arabiensis

<p>Abstract</p> <p>Background</p> <p>This study was conducted to evaluate whether a selection of South African ethnomedicinal plants included in this study displayed insecticidal properties when screened against adult stages of the mosquito.</p> <p>Methods</p> <p>381 crude extracts of 80 plant taxa in 42 families were sprayed onto ceramic tiles and screened using the cone bio-assay method for insecticide efficacy testing. Blood-fed, female <it>Anopheles arabiensis </it>mosquitoes were exposed to the treated tiles for a period of sixty minutes. Mosquito mortality was monitored for twenty-four hours.</p> <p>Results</p> <p>Of all the extracts analysed, the highest activity was observed in <it>Ptaeroxylon obliquum </it>(Ptaeroxylaceae) and <it>Pittosporum viridiflorum </it>(Pittosporaceae), a single extract from each, exhibiting more than 50% mortality. A large proportion (81.63%) of the extracts tested displayed low levels of mosquitocidal activity. The remainder of the extracts (17.85%) exhibited no bioactivity (0% mortality).</p> <p>Conclusions</p> <p>The screening results have shown that in accordance with WHO standards, none of the crude extracts tested had exhibited greater than 60% mortality against the adult stages of the malaria vector <it>Anopheles arabiensis</it>.</p