Miracle-dz/UniFAR-FTUs huggingface dataset:
Strong cation exchange chromatography: a new option for concurrent quantification of saxagliptin and metformin

Extremely polar antidiabetic drug like metformin (MET) along with saxagliptin (SXP) often suffer from peak fronting/ tailing effects along with earlier elution with void volume in RP-HPLC. Therefore, alternative and complimentary to this RP-HPLC, the strong cation exchange (SCX) chromatography has been used for the simultaneous quantification of SXP and MEt along with stability studies. This investigation was performed on the Phenomenex Luna SCX column (100 × 2.1 mm. id, 5 μm) where both SXP and MET were eluted with ammonium formate (15 mM):MeOH (83:17 v/v) for 10 minutes with isocratic elution at 1 ml/minutes flow rate and performed at 30°C, and monitored at 230 and 260 nm wavelength where the retention time of both SXP and MET were 2.290 and 3.520 minutes, respectively. The validation studies revealed good linearity over the concentration ranging between 35.5 and 500 μg/ml for SXP and 15.5–250 μg/ml for MET with r2 values were 1.00 and 0.999 respectively. The percentage (%) recoveries for SXP and MET were 100.37% (±1.24) and 100.39% (±1.22), respectively. Moreover, as resulted, the acid, peroxide and thermal induced stress conditions have not made any significant changes but 0.1N NaOH at 50°C induced the degradation of SXP and MET.
An assessment of optimal time scale of conformational resampling for parallel cascade selection molecular dynamics

Abstract Parallel cascade selection molecular dynamics (PaCS-MD) has been proposed as a conformational sampling method for enhancing structural transitions from a given reactant to a product by repeating cycles of short-time MD simulations. In the present paper, we assessed how the time scale of a short-time MD simulation affected the computational efficiency by changing the simulation length. In conclusion, ps-order (tps) PaCS-MD simulations showed a higher computational efficiency as a total simulation time over the cycles than ns-order (tns) PaCS-MD simulations, indicating that tps might be suitable for generating structural transitions efficiently.
AP-PSPJ210047 1..15

Although social media plays an increasingly important role in communication around the world, social media research has primarily focused on Western users. Thus, little is known about how cultural values shape social media behavior. To examine how cultural affective values might influence social media use, we developed a new sentiment analysis tool that allowed us to compare the affective content of Twitter posts in the United States (55,867 tweets, 1,888 users) and Japan (63,863 tweets, 1,825 users). Consistent with their respective cultural affective values, U.S. users primarily produced positive (vs. negative) posts, whereas Japanese users primarily produced low (vs. high) arousal posts. Contrary to cultural affective values, however, U.S. users were more influenced by changes in others’ high arousal negative (e.g., angry) posts, whereas Japanese were more influenced by changes in others’ high arousal positive (e.g., excited) posts. These patterns held after controlling for differences in baseline exposure to affective content, and across different topics. Together, these results suggest that across cultures, while social media users primarily produce content that supports their affective values, they are more influenced by content that violates those values. These findings have implications for theories about which affective content spreads on social media, and for applications related to the optimal design and use of social media platforms around the world.
Developing AI Tools For A Writing Assistant: Automatic Detection of dt-mistakes In Dutch

This paper describes a lightweight, scalable model that predicts whether a Dutch verb ends in -d, -t or -dt. The confusion of these three endings is a common Dutch spelling mistake. If the predicted ending is different from the ending as written by the author, the system will signal the dt-mistake. This paper explores various data sources to use in this classification task, such as the Europarl Corpus, the Dutch Parallel Corpus and a Dutch Wikipedia corpus. Different architectures are tested for the model training, focused on a transfer learning approach with ULMFiT. The trained model can predict the right ending with 99.4% accuracy, and this result is comparable to the current state-of-the-art performance. Adjustments to the training data and the use of other part-of-speech taggers may further improve this performance. As discussed in this paper, the main advantages of the approach are the short training time and the potential to use the same technique with other disambiguation tasks in Dutch or in other languages.
THE RELATION BETWEEN CULTURE AND PSYCHOLOGICAL PROCESSES OF CONSUMERS: ATTRIBUTES-CONSEQUENCES-VALUES LINKAGES VARIATIONS

Means-end chain (MEC) theory is grounded in a cognitive approach emphasizing connections between the attributes of the product, the consequences of consumption, and the corresponding instrumentality of satisfying consumer values (Gutman, 1982). Taking this hierarchical cognitive structure into account in cross-cultural contexts can lead to deeper understanding of international consumer behavior concerning product choice and consumption decisions. To date, however, international and cross-cultural applications of MEC theory have been conducted primarily by Western researchers with Anglo-Saxon consumers as subjects (e.g., Grunert et al., 2001; Hofstede, Steenkamp, & Wedel, 1999; Mort & Rose, 2004; Overby, Gardial, & Woodruff, 2004; Russel et al., 2004; Valette-Florence et al., 2000). In addition, little attention has been paid to consumers’ cognitive processing styles, which determine different patterns of thinking, in comparative analyses of MECs among consumers from different cultural backgrounds, particularly Western and Eastern cultures. This is despite the fact that a growing corpus of cross-cultural psychology studies confirms cultural differences in styles of thinking, with Western societies characterized by analytic thinking and Eastern societies characterized by holistic thinking (Nisbett et al., 2001). We suggest that this cultural orientation in the different styles of thinking influences the hierarchical cognitive structure on which consumers from Eastern versus Western cultures base their purchase decision-making process. Thus, the question we address in this research is whether analytic versus holistic thinking affects the manner in which consumers cognitively link product attributes to different consequences and values. More precisely, this research aims to contribute to recent MEC research by examining the relation between cultural differences in cognition between Western (French) and Eastern (Korean) cultural members and their MEC linkages underlying wine purchase decision. Our research was undertaken at two different levels of cross-cultural analysis: a chronic cultural difference level and an experimental level in which either the analytic or the holistic thinking tendency is primed.
A Framework for Assessing Impact of Brand Personality on Customer Satisfaction: The Moderating Role of Gender and Age

Visiting faculty, Bahauddin Zakariya University, Multan, Pakistan Lecturer, NFC-IT, Multan, Pakistan HOD, Department of Business Administration, Air University Multan Campus, Pakistan, hma@aumc.edu. pk ARTICLE DETAILS ABSTRACT History Revised format: August 2020 Available Online: September 2020 This study develops an empirical examination of brand personalities in cellular phone sector of Pakistan as a predictor of customer satisfaction. The purpose of this research is to develop a framework that how brand personality of cell phone can increase the level of customer satisfaction. This study also aims to test the moderating role of demographic characteristics (Gender and Age) in the relationship between brand personalities and customer satisfaction. A sample of 300 cell phone users from 5 cities of Pakistan is selected . Based on the survey of consumers of cell phones; the authors checked the effect of brand personality on customer satisfaction. Moderation Analysis was used to check the demographic characteristics effect (Gender and Age) on satisfaction and brand personality relationship. Results indicated that due to different dimensions of brand personality of cell phones, customer observed massive satisfaction level. So, since customer faced more satisfaction, they signified more intention towards brand. Further, our research also confirmed the moderating role of Customer Age. This study reveals that when cell phone manufacturing companies invest the human characteristics into their brand so that personality of their brand can develop, their customers can be more loyal towards organization and their level of satisfaction increased. Marketers and Brand Managers must develop marketing and advertisement activities in line with the personality of their cell phone brands. Originality / Value Literature on post-purchase behavior and brand personality reveals that how different dimensions of brand personality can increase customer satisfaction and the role of age as a moderator. Our research adds to the literature of brand personality.
PGPM_A_265121 365..373

1Department of International Medical Centre, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, People’s Republic of China; 2West China School of Stomatology, Sichuan University, Chengdu 610041, Sichuan Province, People’s Republic of China; 3Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, People’s Republic of China; 4Department of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, People’s Republic of China; 5Department of Oncology, The First People’s Hospital of Ziyang, Ziyang 641300, Sichuan Province, People’s Republic of China
A general dissolution–recrystallization strategy to achieve sulfur-encapsulated carbon for an advanced lithium–sulfur battery

Herein, a general strategy is first proposed to fabricate a class of carbon@S cathodes via dissolution recrystallization of granular sulfur into a uniform sulfur layer-encapsulated carbon in a selective solution, guided by density functional theory calculations and the mechanism of crystal nucleation and growth. Significantly, all the carbon@S (SWNT@S, MWNT@S, and YP80@S) cathodes deliver superior rate performance and good cyclic durability. Furthermore, a flexible pouch Li–S battery, assembled based on a free-standing SWNT@S film, was demonstrated with good mechanical properties and deformation durability.
Scalable Mobile Edge Computing: A Two-Tier Multi-Site Multi-Server Architecture with Autoscaling and Offloading

Mobile Edge Computing (MEC) provides computation resources within 5G networks hosting applications that are close to a user equipment (UE). For scalability, MEC servers can be placed behind the base stations of an access network (AN) and also inside the core network (CN) of a cellular system, which results in a two-tier architecture. A scalable MEC system reveals a management problem because keeping all servers on as traffic fluctuates wastes operational expenditure. On the other hand, traffic can become unbalanced, with hotspots in some base stations. This work proposes a two-tier multi-site multi-server architecture and integrates Latency Satisfaction Aware Autoscaling (LSAA) and Dynamic Weight Offloading (DWO) to address the above two problems. Offloading is a short-term solution to hotspot traffic, while autoscaling is a long-term solution to traffic fluctuation. A two-tier MEC testbed was implemented in the framework of OpenNESS with 3GPP integration, with experimental comparisons of one-tier vs. two-tier, uniform vs. hotspot, transient vs. persistent hotspot traffic, with or without offloading and autoscaling. Under heavy hotspot traffic, two-tier MEC satisfies 86 percent, 73 percent, and 21 percent traffic with both offloading and autoscaling, offloading only, and without offloading and autoscaling, respectively, while one-tier MEC only satisfies 32 percent, 32 percent, and 21 percent traffic.
Repair of Trust Through Apology at a Reputable Company: The Case of PostBus In Switzerland

In 2018, an inquiry revealed that the Swiss-based PostBus company had illegally received several excessive compensatory payments. Consequently, trust in this once-reputable company declined. The subsequent crisis communication was studied from two perspectives: study 1 examined the case by means of a content analysis of the framing strategies used by both Swiss newspapers and PostBus. The analysis revealed that the newspapers framed the affair as an integrity-based trust violation and attributed the crisis responsibility internally. PostBus took the opposite stance, framing the breach of trust as a question of competence and assigning the blame externally. In study 2, we experimentally tested the effectiveness of the apology accounts. Our results showed that external attribution was more effective in repairing trust when the scandal was framed as a competence-based trust violation; however, regarding the framing of the scandal as an integrity-based trust violation, no difference was found between the two different apology strategies.
Does Globalization asymmetrically impact on carbon emission in Bangladesh? Evidence from Nonlinear ARDL Approach

To check the asymmetric impact of globalization on carbon emission from 1973 to 2013 in Bangladesh is the main purpose of this article. Two unit root tests, the ADF test and the PP test, are used to find whether a variable is stationary or not. The NARDL method is appropriate to know the asymmetry and the co-integration among variables. By applying the Wald F test into the stepwise regression result, it is confirmed that there is no asymmetry among variables. So, the linear ARDL method is appropriate to use in this study. The short run and the long run results of the Linear ARDL model indicate that globalization and carbon emission are cointegrated and that globalization significantly increases carbon emission. The positive impact of PCGDP in the long run implies that LPCGDP is responsible for the increase in carbon emission in Bangladesh. The speed of adjustment is 136.62%. Therefore, policymakers should consider these findings to protect the environment.
Empowering Displaced Students through a Local Community-centered Engineering Education Framework

Empowering Displaced Students through a Local Community-centered Engineering Education Framework Dr. Claudio Freitas, Purdue University Claudio holds a Bachelor’s degree in Mechatronics at Higher Education Institute of Amazonia (2011), and he holds his Master’s degree in Electrical Engineering from the State University of Campinas (2014). In 2020, he completed his doctorate in Engineering Education at Purdue University. Prof. Jennifer DeBoer, Purdue University at West Lafayette (COE) Jennifer DeBoer is currently Associate Professor of Engineering Education at Purdue University. Her research focuses on international education systems, individual and social development, technology use and STEM learning, and educational environments for diverse learners.
Effect of Stabilized Rice Bran Supplementation on Different Box Bread Properties

The use of nutritional waste is the latest trend to increase products nutritional value. The aim of this study was to investigate the effects of partial substitution of wheat flour by stabilized rice bran at levels 10, 20 and 30 % on chemical , physical, texture profile, color measurement, staling rate and sensory properties of box bread. Box bread prepared from wheat flour with replacing it by rice bran at levels 10, 20 and 30 %. Chemical analysis of box bread demonstrated increase in protein, fat ,ash and dietary fiber content which were increased in all supplemented box bread. Concern -ing physical properties volume and specific volume were gradually decreased. Also, color measurement (L*, a* and b*) showed significant decrease in lightness values L* and b* values of crust and crumb. Concerning stalling rate results declared significant decrease in the AWRC with the increasing of rice bran. The results of texture profile showed increasing adhesiveness and gumminess parameters. As well as, sensory properties of box bread remain acceptable until replacement ratio 20% . The study recommended adding rice bran in making box bread at replacement rates of not more than 20%.
SHINRA2020-ML: Categorizing 30-language Wikipedia into fine-grained NE based on "Resource by Collaborative Contribution" scheme

This paper describes a Knowledge Base construction project, SHINRA and in particular SHINRA2020-ML task. The task SHINRA2020-ML is to categorize 30-language Wikipedia pages into ﬁne-grained named entity categories, “Extended Named Entity (ENE)”. It’s one of four tasks we have conducted on SHINRA since 2018. SHINRA is a collaborative contribution scheme utilizing Automatic Knowledge Base Construction (AKBC) systems. The ultimate goal of the project is to create a huge and well-structured knowledge base which is essential for many NLP applications, such as QA, Dialogue systems and explainable NLP systems. In “Resource by Collaborative Contribution (RbCC)” scheme, we conducted a shared task for structuring Wikipedia for the purpose of attracting participants, but at the same, submitted results are used to construct a knowledge base. One of the tricks is that the participants are not notiﬁed which is the test data, so they have to run their systems on all entities in Wikipedia, even though the evaluation results are reported only on a small portion test data among the entire data. By this methods, the organizers will receive multiple outputs of entire data from the participants. The submitted outputs are made open to the public, and will be used to build the even better structured knowledge by ensemble learning, for example. In other words, this is a project to use AKBC systems as a tool to construct a huge and well-structured Knowledge Base in collaborative manner. “SHINRA2020-ML” task is also based on RbCC scheme. The task is to categorize 30-language Wikipedia pages into ENE. We have previously categorized entire Japanese Wikipedia entities (namely 920 thousand entities) into ENE by ML and then checked by hands. For SHINRA2020-ML task participants, We provide the training data using these categories of Japanese Wikipedia and language links from the page. For example, out of 920K Japanese Wikipedia pages, there are language links to 275K German pages. This data is used to create the training data for German and the task is to categorize the
Marker-assisted selection for the gene of β-carotene hydroxylase in maize

ISSN 2415-3826 (Online), ISSN 2219-3782 (Print). Фактори експериментальної еволюції організмів 2020. Том 27 83 ZATYSHNIAK O.V. , CHERCHEL V.Yu. , DZIUBETSKYI B.V. , ZHANG JUMEI, JIN HUI, ZHANG RUI, DENYSIUK K.V. , SATAROVA T.M. 1 Institute of Grain Crops of NAAS of Ukraine, Ukraine , 49027, Dnipro, V. Vernadsky str. , 14 2 Sino-Russian Agricultural Scientific and Technological Cooperation Center, Heilongjiang Academy of Agricultural Science, Harbin, People's Republic of China, e-mail: zr0705@126.com izk.zatyshniak@gmail.com, (068) 404-31-96
Doing good the wrong way: Contemporary Southern Non-Governmental Organizations’ Praxis Viewed Through History

Using a narrative summary, this article synthesizes NGO history, highlights the political economy and pro-NGO arguments; and uses these to examine what contemporary NGOs in the global South do. It raises contradictions between what these organizations do and historical arguments that justified their growth in the development sector. It shows that NGOs are doing good the wrong way, a contradiction obscured by the functional approach used to measure their effectiveness in research and evaluation. The article argues that because this approach focuses on the linear logics of NGO aid projects, they are assessed against what they choose to do and not what history argued they would. Arguments for the return of the Developmentalist State and changes from the looming end of the liberal international order, inherently flag the need to establish NGO contribution to development without comparisons to the State or market; then strategically adjust the NGO ‘Articles of Faith’.
The change trend in physiological traits of 110 citrus accessions in response to cold stress

In order to investigate the change process of some physiological indices in response to four temperature levels (3, 0, ‒3 and ‒6°C), 110 Citrus accessions consisting of 76 unknown natural biotypes and 34 known genotypes were studied using the split-plot design with three replications. Two genotypes Poncirus and Mexican lime (as cold tolerant and cold susceptible, respectively) were used as control genotypes. Electrolyte leakage, leaf water soaking, and lipid peroxidation had increasing trends with the decrease of temperature. On the other hand, for tolerance criteria (antioxidant capacity, proline content, total carbohydrates, and enzymatic activities) sigmoidal trends were recorded. For electrolyte leakage and leaf water soaking, Poncirus, Satsuma mandarin, and the unknown biotype G8 had the smallest range of mean variation at four stress temperatures. Also, for lipid peroxidation, Siavaraz 1, Satsuma mandarin, and sour orange had the lowest range of change. Proline content evaluation showed that Satsuma mandarin and two natural biotypesMoallemkoh and Siavaraz 2-experienced the highest changes in proline accumulation.
The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – A global simulation study with LPJmL (V. 5.0-tillage-cc)

Abstract. Land management practices can reduce the environmental impact of agricultural land use and production, improve productivity, and transform cropland into carbon sinks. We applied the global vegetation model LPJmL5.0-tillage-cc with a modified representation of cover crop practices. We assessed simulated responses to cover crop practices on agroecosystem components in comparison to bare soil fallow between two consecutive primary crops’ growing seasons on global cropland for a simulation period of 50 years. With cover crops and tillage, we obtained annual global median soil carbon sequestration rates of 0.52 and 0.48 t C ha−1 yr−1 for the first and last decades of the entire simulation period, respectively. We found that cover crops with tillage reduced annual nitrogen leaching rates from cropland soils by a median of 39 % and 54 % but also the productivity of the following main crop by average of 1.6 % and 2 % for the two analyzed decades. Largest reduction of productivity were found for rice, modestly lowered for maize and wheat, whereas soybean yield revealed an almost homogenous positive response to cover crop practices during fallow periods. Further, the results suggest that no-tillage is a suitable complementary practice to cover crops, enhancing their environmental benefits and reducing potential trade-offs with the main crop productivity due to their impacts on soil nitrogen and water dynamics. For cover crops applied in conjunction with no-tillage across the mapped Conservation Agriculture cropland area for the period 1974–2010, we estimated a cumulative soil carbon net-accumulation of 1.4 PgC, an annual median reduction of soil nitrogen leaching by 57 %, as well as mostly enhanced yields of the following main crop. The spatial heterogeneity of simulated impacts of cover crops on the variables assessed here was related to the time period since the introduction of the management practice as well as to environmental and agronomic conditions of the cropland. This study supports findings of other studies, highlighting the substantial potential contribution of cover crop practices to the sustainable development of arable production.