Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-employment through ride-hailing: Drivers’ experiences in Johannesburg, South Africa

Introduction According to the Quarterly Labour Force Survey (QLFS), unemployment was 30.8% in quarter 3 of 2020 (Statistics South Africa 2020), a record high for the country. Despite annual employment growth across various industries, such as social services, agriculture and mining, employment in the manufacturing, trade, construction and utility industries declined substantially in recent years, causing the rise in South Africa’s unemployment rate. As a result, many South Africans turned to self-employment through entrepreneurship for livelihood. Mahadea and Kaseeram (2018) similarly suggest a strong push factor from unemployment to entrepreneurship – necessity entrepreneurship. This gives rise to the growing informal and township economies, where vulnerable populations such as women and youth are able to enter the labour market through enterprise (Charman 2016), and participate in the economy.
The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events

ABSTRACT Although it is acknowledged that urban inequalities can lead to biases in the production of social media data, there is a lack of studies which make an assessment of the effects of intra-urban movements in real-world urban analytics applications, based on social media. This study investigates the spatial heterogeneity of social media with regard to the regular intra-urban movements of residents by means of a case study of rainfall-related Twitter activity in São Paulo, Brazil. We apply a spatial autoregressive model that uses population and income as covariates and intra-urban mobility flows as spatial weights to explain the spatial distribution of the social response to rainfall events in Twitter vis-à-vis rainfall radar data. Results show high spatial heterogeneity in the response of social media to rainfall events, which is linked to intra-urban inequalities. Our model performance ( ) provides evidence that urban mobility flows and socio-economic indicators are significant factors to explain the spatial heterogeneity of thematic spatiotemporal patterns extracted from social media. Therefore, urban analytics research and practice should consider not only the influence of socio-economic profile of neighborhoods but also the spatial interaction introduced by intra-urban mobility flows to account for spatial heterogeneity when using social media data.
Operational text-mining methods for enhancing building maintenance management

ABSTRACT Facility managers can significantly benefit from operational data, such as maintenance requests, stored in computerized maintenance management systems (CMMSs). This data is a valuable means to assess building performance and gain insights for preventive maintenance actions. However, databases are not always organized in such a way that allow undertaking analytics, therefore resulting in troubles when trying to generate useful information from raw data. This paper presents two methods based on a text-mining approach to extract valuable information from textual maintenance requests. The first method aims to extract the room identifier (ID) numbers where faults mainly occur, while the second one aims to identify the most problematic building elements and systems. The text-mining-based methods were tested by using a data set which contains 12,655 maintenance requests derived from a cluster of 33 buildings managed by the local administration of the Municipality of Trieste (Italy).
Diabetes Surrounding Stigma: Conceptual Issues, Mechanisms Involved and Challenges

La diabetes es una epidemia a nivel mundial. Los factores psicosociales han sido reconocidos como un elemento importante en el manejo y control de la enfermedad. El estigma asociado a la diabetes ha emergido recientemente como un nuevo factor psicosocial que afecta negativamente la salud de los pacientes con diabetes. Sin embargo, la evidencia reciente en torno a este fenómeno aún no ha sido sintetizada. Esta revisión narrativa de literatura aborda: (i) elementos conceptuales y epidemiológicos que contribuyen a la comprensión del fenómeno y su magnitud; (ii) los factores psicosociales, conductuales y fisiológicos involucrados en la relación entre el estigma asociado a la diabetes y los resultados en salud en pacientes con la enfermedad; (iii) desafíos y posibles áreas de investigación.
A study on serum uric acid levels and insulin resistance in type-2 diabetic subjects

Insulin resistance (IR) is the principle etiological factor for development and progression of type-2 diabetes mellitus (T2DM) and decreased insulin function. Independently, increased serum uric acid (SUA) is known to play a critical role in the development of T2DM as well as in progression of its complications. To assess the correlation between SUA levels and IR in diabetic patients, data with lab investigations of HbA1c, fasting levels of serum glucose, UA, TAG, HDL-C of conﬁrmed and known cases of T2DM were collected from the Hospital Biochemistry Laboratory, DMWIMS Hospital, Wayanad, Kerala. Fasting ratio of TAG to HDL-C was used as an index for IR. A signiﬁcant increase in fasting serum glucose, SUA, HBA1C, TAG, TAG/HDL-C ratio (IR) and a signiﬁcant decrease in HDL-C were observed in data of cases when compared with the data of normal healthy subjects. This study shows a positive correlation between SUA levels and IR in known cases of T2DM.
pH switch over a cause for high efficiency all‐aqueous CuSO4/[Fe(CN)6]3−redox flow battery

A novel pH switch over of the electrolyte in all aqueous Redox Flow Battery (RFB) is studied to augment its voltage efficiency, capacity retention and volumetric capacity. By switching the pH of the anolyte from 2 to 5, the cell voltage stabilized at 0.44 V from 0.85 V vs SHE. pH switch over caused increase in the volumetric capacity from 64 mAh/l to 75 mAh/l. The device showed constant capacity of 40 mAh/l up to 200 cycles with 53% capacity retention. The device performed up to 200 cycles and 720 hours of operation, even in the presence of undesirable side reactions such as Hydrogen Evolution Reaction (HER). Thus by improving the design parameters, one can anticipate all aqueous RFB may be scaled up for practical applications.
Deep Retrosynthetic Reaction Prediction using Local Reactivity and Global Attention

As a fundamental problem in chemistry, retrosynthesis aims at designing reaction pathways and intermediates for a target compound. The goal of artificial intelligence (AI)-aided retrosynthesis is to automate this process by learning from the previous chemical reactions to make new predictions. Although several models have demonstrated their potentials for automated retrosynthesis, there is still a significant need to further enhance the prediction accuracy to a more practical level. Here we propose a local retrosynthesis framework called LocalRetro, motivated by the chemical intuition that the molecular changes occur mostly locally during the chemical reactions. This differs from nearly all existing retrosynthesis methods that suggest reactants based on the global structures of the molecules, often containing fine details not directly relevant to the reactions. This local concept yields local reaction templates involving the atom and bond edits. Because the remote functional groups can also affect the overall reaction path as a secondary aspect, the proposed locally encoded retrosynthesis model is then further refined to account for the nonlocal effects of chemical reaction through a global attention mechanism. Our model shows a promising 89.5 and 99.2% round-trip accuracy at top-1 and top-5 predictions for the USPTO-50K dataset containing 50 016 reactions. We further demonstrate the validity of LocalRetro on a large dataset containing 479 035 reactions (UTPTO-MIT) with comparable round-trip top-1 and top-5 accuracy of 87.0 and 97.4%, respectively. The practical application of the model is also demonstrated by correctly predicting the synthesis pathways of five drug candidate molecules from various literature.
Do bank regulations matter for financial stability? Evidence from a developing economy

Purpose This paper aims to establish the effect of bank regulations on financial stability in Kenya. Specifically, the study seeks to uncover the effect of micro and macro prudential regulations on financial stability and their trade-offs or complementarities. Design/methodology/approach Using annual time series data over the period 1990–2017, the study uses structural equation model (SEM) estimation technique. This solves the problem of approximating measurement errors, using both latent constructs and indicator constructs. Findings Study findings reveal that macro and micro prudential regulations are significant drivers of financial stability. Further, prudential regulations are more effective when they complement each other. Research limitations/implications This study centers on how bank regulations affect financial stability. Future research could be carried out on the effect of Non-Bank Financial Institutions regulations on financial system stability. Practical implications Complementing macro and micro prudential regulation is more effective and efficient in ensuring stability of the financial system other than letting the two policy objectives operate independently. Social implications Regulatory authorities should introduce prudential regulations that would encourage innovations in the banking sector. This ensures easy deposit mobilization that enhances financial inclusion. Prudential regulations that ensure financial stability will be effective when low income earners are included in the financial system. Originality/value To the best of the authors’ knowledge, this study is the first to investigate the role of banking regulations on financial stability. This study is also pioneering in the use of SEM estimation technique, in examining how prudential regulations affect financial stability. Previous cross-country studies have focused on macro prudential regulations ignoring the importance of micro prudential regulations.
Analysis of Factors Influencing Impulse Buying Behavior towards e-Tailing Sites

Impulse buying behavior among consumers was previously examined within the brick-and-mortar stores. The internet revolution is the shift from a traditional retail environment to electronic commerce where products and services are offered online and consumers benefit from buying impulse towards e-tailing sites. By applying the S-O-R model, this study seeks to evidently identify the influencing factors of impulse buying behavior towards e-tailing sites. The survey data were analyzed using partial least squares structural equation modeling (PLS-SEM). The result indicates that website stimulus has no significant positive relationship with online impulsive buying behavior, but an indirect relationship is found to be associated with impulse buying behavior. Results also highlighted that website stimulus, marketing stimulus, and product variety positively influence perceived enjoyment, where perceived enjoyment was a strong predictor of online impulse buying behavior. The study contributes to the existing literature by employing external stimuli of the research framework. It was thus recommended to the online e-tailers to maximize their relationship with consumers by providing valuable products and services through online platforms.
Comparing the Effects of Low Dose of Ketamine, Tramadol, and Ondansetron in Prevention of Post Spinal Anesthesia Shivering in Cesarean Section

Background Shivering frequently occurs in cesarean section (CS) under spinal anesthesia (SA), resulting in several complications. To date, pethidine has been considered as the gold standard for post-SA shivering control, but it is contraindicated in breastfeeding women. Methods This randomized, double-blind study was conducted at Alzahra hospital in Guilan, Iran, From January 2019 to November 2020. A total of 508 eligible term parturient women were enrolled and randomly divided into four groups of low dose ketamine (K), tramadol (T), ondansetron (O), and placebo (P). The incidence and severity of shivering and patients’ complications were recorded and compared among the groups. Results The patients were homogenous in terms of demographic variables. Shivering was witnessed in 68 (53.5%), 26 (20.5%), 75 (59.1%), and 82 (64.6%) patients in K, T, O, and P groups, respectively (P = 0.0001). Regarding shivering severity, there was a significant difference among the four groups (P = 0.0001). In addition, a significant difference was seen regarding Apgar scores at the first minute, but not at the fifth minute (P = 0.168). Conclusions Considering the high incidence of shivering in placebo group, prophylactic intervention in CS under SA seems to be necessary. Among the studied drugs, tramadol was the most effective one, followed by a low dose of ketamine and ondansetron.
Academic Management System Integration Of Private Universities

The Academic Management System of Higher Education is a component of the Institutional Management System of Higher Education, which is concerned with the overall management tools that have been designed and compiled in a systematic and rigorous manner. Nowadays, as technology advances and student generations change, educational institutions are encouraged to continually respond to the use of technology in their service systems. The aim of this thesis is to identify and interpret research results relating to academic management system alignment. A descriptive qualitative approach is used in this research. According to the findings of the study, while universities do have an institutional management scheme in place, its execution is not optimal. Universities do have an Academic Management System in place, but it is not yet fully implemented. The academic Management System also has some elements missing, such as academic calendar scheduling, new student placement, new and old student enrollment, classes, grading, thesis instruction, and graduation. Keywords: Academic Management System, Technology, universities.
Chinese expatriates working with African partners: power struggles and knowledge hiding

PurposeThe study explores African partners' experiences regarding Chinese expatriates' knowledge control practices in 29 Sino-African joint ventures in 12 countries. It provides insights into power dynamics and knowledge transfer (KT) from African partners' perspective.Design/methodology/approachThe qualitative paper mobilized semi-structured interviews with Africans who worked with Chinese expatriates across Africa. The study focused on understanding the experiences of African partners when collaborating with their Chinese expatriate colleagues on assignments in joint ventures (JVs) in Africa.FindingsChinese expatriates employed five tactics, as described by African partners, to control knowledge based on power, behaviors and knowledge type. Particularly, through the lens of unofficial power, this study explains knowledge hiding tactics between knowledge-holding Chinese expatriates and host country knowledge-seeking locals. A new dimension of authority-based knowledge hiding is discovered.Originality/valueThe paper brings new insights into the analysis of power (official and unofficial) boundaries regarding knowledge control mechanisms in joint venture collaborations between employees from China and Africa. Unofficial power appeared as a major leverage for expatriates in monopolizing their strategic knowledge. The study recommends mobilizing African diaspora and repatriates from China to improve KT for Africa.
Bayesian Spatio-temporal Analysis of Greenhouse Gas Emissions in Africa

Global warming is a driver of climate change and is attributed to the increasing concentration of greenhouse gases in the atmosphere due to human activities. Although Africa contributes the least to global greenhouse gas emissions, its emissions are still on the increase. This study analyzes the spatial effect, temporal effect, and the interaction of these effects on these emissions in Africa. A 27-year greenhouse gas emissions data of some selected African countries was studied using Bayesian Spatio-temporal analysis within a Bayesian framework. Inference was based on integrated nested Laplace approximation implemented using the R-INLA package in R. Various subsets of Spatio-temporal models were fitted, including those that accounted for boundary shared among countries. Results show that models with the Spatio-temporal interaction effect outperform models that did not take this effect into account, confirming findings from existing literature. Findings from this study also revealed that the boundary shared among countries impacts greenhouse gas emissions. Countries that are less likely to have high greenhouse gas emissions but shared boundaries with those likely to have high estimates eventually had a high estimate of emissions over a long period. Controlling and reducing greenhouse gas emissions in Africa should be a collective effort, particularly among countries sharing boundaries.
Vacuna emocional en la Covid-19: programa de autocuidado para personas mayores

El colectivo de personas mayores es uno de los más afectados por esta pandemia. Es considerado grupo de riesgo y la edad es un factor relevante en la respuesta que da el organismo frente a la Covid-19. Para afrontar esta situación y esta enfermedad es importante que las personas se cuiden a nivel biopsicosocial. El presente trabajo tiene como fin exponer un programa de autocuidado y de activación psicológica: “Vacuna Emocional para la COVID-19”. Dirigido a personas mayores sin o con deterioro cognitivo leve, de manera individual o grupal, en diferentes entornos: residencial, domiciliario, centro de día, etc., valorando el efecto de este programa en la mejora de su calidad de vida, distinguiendo entre contextos rurales y urbanos. El programa consta de 10 sesiones de una hora y media de duración aplicándose dos sesiones semanales. En cada sesión se trabaja una pauta de autocuidado a través de un mensaje con forma de refrán que facilita la activación mnésica. Desde la Terapia de Aceptación y Compromiso y siguiendo el paradigma de la Atención Centrada en lo Importante para la Persona, se aborda la gestión emocional, la estimulación cognitiva y la activación conductual de manera que se produzca un mejor afrontamiento de la situación actual. Se enfatiza el proyecto de vida de cada participante a través de la orientación en valores. Utilizando un diseño cuasiexperimental pre-post con grupo control, se emplean los instrumentos: registros conductuales, escalas y cuestionarios que midan calidad de vida, ansiedad, depresión y evitación experiencial. Se espera una mejora en la salud y bienestar a través de la activación psicológica en la muestra diana respecto al grupo control. Se destaca la necesidad de este tipo de intervención psicológica en el ámbito gerontológico por su viabilidad, eficacia y demanda social.
Crisis de la caravana de migrantes: Algunas realidades sobre el discurso público en Twitter

The study aims to exploreTwitter content tofind out the confrontational structure of onlinepublic discourseduring the migrant caravan crisisof2018. To carry out this approach, anexploratory quantitative method was chosen to analyzea representative universe of the messages published on the platform from January1 to February 15, 2019. The findings indicate —among others—that the public discourse on the caravan is transnational, widely stimulated by the media,and for the most part, expresses neutral sentiment. However, the articulation of the media landscape and the rhetorical structure of the migrationcrisis seem to exhibit similarities and differences between countries of receiving tradition and transit. For thelatter, it is suggested to extendthe research to othertechnological means involved in the construction/deconstruction of the migratory narrative.
KINERJA FASILITAS KOMERSIAL STASIUN KERETA API : PERSEPSI VS HARAPAN

Abstract: The operation of railway station facilities prioritizes comfort, security and safety. In addition, the station also has high commercial value with commercial facilities. The role of users in commercial facilities as visitors to commercial facilities is very important. This relates to the level of comfort and satisfaction felt by visitors. This research will discuss about the performance of commercial facilities in order to get a railway station commercial facility arrangement that can adjust the level of comfort and user satisfaction. The level of comfort is indicated by the value of the visitor's perception, while the level of satisfaction is indicated by the value of visitor expectations of the railway station commercial facilities. Quantitative analysis was performed using the quadrant analysis method. The selected case studies are Bandung Station and Kiaracondong Station. The results of the analysis show that there are two important elements in the arrangement of commercial facilities for the railway station, namely disability facilities and family facilities. The results of this analysis are expected to be the basis for the planning of the railway station commercial facilities.Abstrak: Penyelenggaraan sarana transportasi kereta api sangat memprioritaskan kenyamanan, keamanan dan keselamatan operasional. Selain dari sisi pelayanan transportasi, stasiun juga memiliki nilai komersial yang tinggi dengan adanya fasilitas komersial. Peran pengguna fasilitas komersial yaitu pengunjung fasilitas komersial sangatlah penting. Hal ini berkaitan dengan tingkat kenyamanan dan kepuasan yang dirasakan oleh pengguna fasilitas komersial. Pada penelitian ini akan membahas mengenai tingkat kinerja fasilitas komersial stasiun kereta api guna mendapatkan penataan fasilitas komersial stasiun kereta api yang dapat memenuhi tingkat kenyamanan dan kepuasan pengguna. Tingkat kenyamanan ditunjukkan dengan nilai persepsi pengunjung, sedangkan tingkat kepentingan ditunjukkan mencari nilai harapan pengunjung terhadap fasilitas komersial stasiun kereta api. Analisis dilakukan secara kuantitatif dengan metode analisis kuadran important performance analysis. Studi kasus yang dipilih adalah Stasiun Bandung dan Stasiun Kiaracondong. Hasil analisis menunjukkan bahwa terdapat dua elemen penting dalam penataan ini, yaitu fasilitas disabilitas dan fasilitas ibu dan anak. Hasil analisis ini diharapkan dapat menjadi dasar dalam rencana penataan fasilitas komersial stasiun kereta api.