Miracle-dz/UniFAR-FTUs huggingface dataset:
Conservation Balance between Man’s Need and Ecological Functions in Ajei Forest Area, Momo Division, Cameroon

Understanding the place of man in the ecology range has always been an important issue in geography. Most humans depend on agriculture and natural resources for their livelihoods. Owing to this relationship, most salient consequences trigger disconnects between man and ecological services. This paper examines the contribution of land use patterns on the improvement of human needs and ecological services in Ajei forest area. The methodology consisted of primary and secondary data: questionnaires, focus groups and interviews. Landsat Satellite Images (LANDSAT, 1986,2020 and ASTER, 2003, 2007 and 2020) were used respectively. Secondary data were sourced from diverse specific literature backgrounds. The data gotten were analyzed using descriptive approach, presented in the form of graphs. Findings revealed that, in Ajie area, man highly depends on diverse resources for survival. Land use indicators further show that: agriculture (37.4%) is the principal drive of land use patterns followed by population growth (31.3%), settlement (10%), knowledge on increased ecological conservation (8.3%), accessibility (8%) and knowledge on increase deforestation (5.1%) while government, traditional establishments, NGOs and individual, were the main local pro-conservative minded stakeholders. In spite of the above pointers, there were land use challenges faced by the community which consisted of topography variations, slope steepness, institutional disparity, socio-economic and environmental constraints. The paper suggests that, to attain a balance between man and ecological functions, there is a need to embrace a veritable conservation tactics by both stakeholders: a more comprehensive ecosystem management strategy. Implement land-use and land-management practices that are compatible with the natural and potential of the area, while emphasizing much more concern on adaptive management approach.
Prevention of cybercrimes in smart cities of India: from a citizen's perspective

PurposeThe purpose of this paper is to identify the factors influencing the citizens of India to prevent cybercrimes in the proposed Smart Cities of India.Design/methodology/approachA conceptual model has been developed for identifying factors preventing cybercrimes. The conceptual model was validated empirically with a sample size of 315 participants from India. Data were analyzed using structural equation modeling with SPSS and AMOS softwares.FindingsThe study reveals that the “awareness of cybercrimes” significantly influences the actual usage of technology to prevent cybercrimes in Smart Cities of India. The study reveals that government initiative (GI) and legal awareness are less influential in spreading of the awareness of cybercrimes (AOC) to the citizens of the proposed smart cities.Research limitations/implicationsThe conceptual model utilizes two constructs from the technology adoption model, namely, perceived usefulness and ease of use. The study employs other factors such as social media, word of mouth, GIs, legal awareness and organizations constituting entities spreading awareness from different related literature works. Thereby, a comprehensive theoretical conceptual model has been proposed which helps to identify the factors that may help in preventing cybercrimes.Practical implicationsThis study provides an insight to the policy maker to understand several factors influencing the AOC of the citizens of the proposed Smart Cities of India for the prevention of cybercrimes.Originality/valueThere are few existing studies analyzing the effect of AOC to mitigate cybercrimes. Thus, this study offers a novel contribution.
An Enhanced Ant Colony Optimization Mechanism for the Classification of Depressive Disorders

Bipolar disorder is marked by mood swings that alternate between mania and depression. The stages of bipolar disorder (BD), as one of the most common mental conditions, are often misdiagnosed as major depressive disorder (MDD), resulting in ineffective treatment and a poor prognosis. As a result, distinguishing MDD from BD at an earlier phase of the disease may aid in more efficient and targeted treatments. In this research, an enhanced ACO (IACO) technique biologically inspired by and following the required ant colony optimization (ACO) was utilized to minimize the number of features by deleting unrelated or redundant feature data. To distinguish MDD and BD individuals, the selected features were loaded into a support vector machine (SVM), a sophisticated mathematical technique for classification process, regression, functional estimates, and modeling operations. In respect of classifications efficiency and frequency of features extracted, the performance of the IACO method was linked to that of regular ACO, particle swarm optimization (PSO), and genetic algorithm (GA) techniques. The validation was performed using a nested cross-validation (CV) approach to produce nearly reliable estimates of classification error.
Peer Interventions in Severe Mental Illnesses: A Systematic Review and its Relation to Occupational Therapy

Abstract Peer support is one of the pillars of the recovery model in mental health care. The purpose is to specify the interventions performed by peer support workers (PSWs) and identify the outcomes in terms of the occupational therapy (OT) process with statistical incidence. A systematic review of the peer-to-peer technique in OT was carried out using the PRISMA guidelines and searching scientific databases. The results were ordered according to the Occupational Therapy Practice Framework-4, finding significant positive results in 7 of the 10 outcome categories. PSWs can be essential partners in achieving the goals of the OT program.
Self-regulated learning in online classes: A comparative study between Malaysian and Indonesian students

Self-regulated learning (SRL) becomes a crucial part for the success of online classroom activities during the COVID-19 pandemic. To date, studies exploring students’ SRL in the contexts of Malaysian and Indonesian universities are still lacking and remain more empirical evidence. This study aims to examine and compare both university students’ SRL toward online learning activities at the time of global pandemic. The required data are quantitatively collected from 103 undergraduates from University A in Malaysia and 119 college students from University B in Indonesia by using an online questionnaire on students’ self-regulated learning adapted from Motivated Strategies for Learning Questionnaire (MSLQ). The sudden shifting from face-to-face interaction to online class instruction is a new learning style and could be challenging, but the finding of this study shows that the students from both universities achieve high mean scores on the SRL questionnaire. This finding indicates that the students have a positive attitude, high academic motivation levels, and good self-learning control over themselves during the online classes. This study contributes to the extension of the current literature about self-regulated learning in higher education context. This study further suggests that teachers could assist students’ self-regulated learning to improve their academic performances by keeping their motivation and engagement, particularly in the time of online classes during COVID-19 pandemic era. Hence, future studies are recommended to investigate the impact of students’ SRL on learning achievement as it can help teachers to enhance students’ performance in online classes.
An investigation of corporate governance, motivation, innovative behavior, and competitiveness on MSMEs performance

The purpose of this study is to obtain a model to improve the performance of MSMEs through the application of competitiveness to enhance their corporate governance, motivation, and innovative behavior. A descriptive verification analysis was applied using 5 main variables which include corporate governance, motivation, innovative behavior, competitiveness, and performance of MSMEs. The population includes 106,038 MSMEs owners or employees in the Riau Islands Province while a total of 398 were selected as the subjects. Data were analyzed using Structural Equation Modeling (SEM) based on the variance which involves the Partial Least Square (PLS) data processing in SmartPLS Ver.3. 0 software. The results showed that the level of governance, motivation, innovative behavior, and competitiveness in MSMEs can affect their level of performance. It was also discovered that competitiveness has a mediation role concerning the influence of corporate governance, motivation, and innovative behavior on performance. The novelty of this study is for it to serve as a strategic model to enhance the performance of MSMEs through their competitiveness by improving the corporate governance, motivation, and innovative behavior.
Statistical thinking for novice researchers in the biological sciences

Postgraduate students from non-statistical disciplines often have trouble designing their first experiment, survey or observational study, particularly if their supervisor does not have a statistical background. Such students often present their results to a statistical consultant hoping that a suitable analysis will rescue a poorly designed study. Unfortunately, it is often too late by that stage. A statistical consultant is best able to help a student who has some grasp of statistics. It is appropriate to use the Web to deliver training when required and that is the mechanism used in this project to encourage postgraduate students to develop statistical thinking in their research. Statistical Thinking is taught in terms of the PPDSA cycle and students are encouraged to use other Web resources and books to expand their knowledge of statistical concepts and techniques.
Association between Oxidative Burden and Restenosis: A Case-Control Study

Background In-stent restenosis (ISR) is an important clinical complication that occurs following stent implantation. The application of drug-eluting stents (DES) and even consumption of drugs such as antiplatelet agents and statins are not completely effective in reducing ISR risk. Since the number of these patients continues to rise, it is pivotal to detect patients who are at a higher risk of ISR. In addition, identification of biochemical markers of ISR could give the right perspective on choosing the proper strategy to treat these patients. Several pathophysiological pathways including oxidative stress (OS) are implicated in the progression of ISR. Hence, this study aimed to evaluate the association between oxidative/anti-oxidative markers and ISR. Methods This was a case-control study which comprised 21 ISR, 26 NISR (non-ISR), and 20 healthy subjects. The serum levels of OS markers including malondialdehyde (MDA), thiol groups (GSH), total antioxidant capacity (TAC), and the activity of serum antioxidant enzymes such as glutathione peroxidase (GPx) and superoxide dismutase (SOD) were assessed by colorimetric methods. The overall oxidative burden was assessed using a pro-oxidant-antioxidant balance (PAB) assay. Results MDA levels were considerably higher in the ISR group when compared to healthy subjects (P = 0.004). PAB also indicated significantly higher values in both ISR (P < 0.001) and NISR (P < 0.001) groups related to healthy subjects. No significant differences were observed between the studied groups regarding thiol levels, antioxidant enzyme activities, and TAC. Multinomial logistic regression analysis showed that elevated serum levels of MDA (OR: 1.028, 95% CI: 1.008-1.048; P = 0.006) and PAB (OR: 1.076, 95% CI: 1.017-1.139; P = 0.011) were significantly associated with higher ISR risk; however, increased values of TAC (OR: 0.990, 95% CI: 0.982-0.999; P = 0.030) were significantly associated with decreased ISR risk, while after adjustment for confounders, only SOD activity (OR: 0.0, 95% CI: 0.0-0.0; P < 0.001) and PAB value (OR: 1.866, 95% CI: 1.856-1.900; P < 0.001) showed association with ISR risk. Conclusion According to the present findings, some oxidative and antioxidative markers like PAB and SOD activity showed the potential in the prediction of ISR risk.
The Main Elements of a Strategy for Combined Utilization of Industrial and Municipal Waste from Neighboring Regions by Burning it as Part of Composite Fuels

An experimental study has been conducted into the ignition and combustion processes of composite fuel droplets fed into a heated muffle furnace on a holder. Consistent patterns and characteristics of physical and chemical processes have been established for a group of fuel compositions: wet coal processing waste (a mixture of fine coals and water) 85% + municipal solid waste (wood, or plastic, or rubber) 10% + used oil 5%. Burning a coal-water slurry instead of dry coal dust is characterized by a positive environmental effect. Adding used oil to a coal-water slurry results in better energy performance characteristics of the composite fuel during combustion. Adding fine municipal solid waste (MSW) to the fuel composition makes it possible to effectively recover it by burning in boiler furnaces with energy performance characteristics of combustion and environmental characteristics of flue gases that are as good as those of composite fuel compositions without MSW. Sustainability of the composite fuel ignition process and complete burnout of liquid and solid combustible components have been determined. The values of the guaranteed ignition delay times for droplets with a size (diameter) of about 2 mm have been established for the composite fuel compositions under study in the ambient temperature range 600–1000 °C. The minimum values of ignition delay times are about 3 s, the maximum values are about 15 s under the near-threshold ignition conditions. The obtained findings enabled to elaborate the main elements of the strategy for combined recovery of industrial and municipal waste by burning it as part of composite fuels.
Investigation of In vitro Wound Healing Activity of Polygonatum orientale Desf. Rhizome

In this study, we carried out a bioassay-guided fractionation of the most active extract Polygonatum orientale Desf. rhizome, in order to isolate and identify the fraction/s or compound/s responsible for wound healing activity. The wound healing process considered via scratch wound assay on NIH-3T3 fibroblasts. The results showed that the methanol extract and its fractions A5 and A6 showed excellent wound healing effect and were rich of bioactive glycoside compounds. Fraction A6 was selected for further fractionation and two sub-fractions B5 and B6 showed acceptable wound healing on fibroblasts. B5-P (sucrose) and B6-P were isolated as two active compounds from theses fractions that significantly reduced wound area, without any toxicity at very low concentrations (50-200 ng/mL). These results supported the traditional use of P. orientale rhizome for wounds treatment and showed that the accelerated wound healing activity of the rhizome is due to the presence of bioactive polar compounds.
Energy-oriented bi-objective optimisation for a multi-module reconfigurable manufacturing system

This paper investigates a multi-module reconfigurable manufacturing system for multi-product manufacturing. The system consists of a rotary table and multiple machining modules (turrets and spindles). The production plan of the system is divided into the system design phase and the manufacturing phase, where the installation cost and the energy consumption cost correspond to the two phases, respectively. A mixed-integer programming model for a more general problem is presented. The objectives are to minimise the total cost and minimise the cycle time simultaneously. To solve the optimisation problem, the ε-constraint method is adopted to obtain the Pareto front for small size problems. Since the ε-constraint method is time consuming when problem size increases, we develop a multi-objective simulated annealing algorithm for practical size problems. To demonstrate the efficiency of the proposed algorithm, we compare it with a classic non-dominated sorting genetic algorithm. Experimental results demonstrate the efficiency of the multi-objective simulated annealing algorithm in terms of solution quality and computation time.
Coupled charge and valley excitations in graphene quantum Hall ferromagnets(Topological Aspects of Solid State Physics)

Graphene is a two-dimensional carbon material with a honeycomb lattice and Dirac-type low-energy spectrum. In a strong magnetic field, where Coulomb interactions dominate against disorder broadening, quantum Hall ferromagnetic states realize at integer fillings. Extending the quantum Hall ferromagnetism to the fractional filling case of massless Dirac fermions, we study the elementally charge excitations which couple with the valley degrees of freedom (so-called valley skyrmions). With the use of the density matrix renomalization group (DMRG) method, the excitation gaps are calculated and extrapolated to the thermodynamic limit. These results exhibit numerical evidences and criterions of the skyrmion excitations in graphene.
Assessment of Clinical Features in HIV-Infected Patients with Acute Coronary Syndromes Undergoing Percutaneous Coronary Intervention in China

Objectives We aimed to compare coronary risk factors, burden of coronary artery disease (CAD), and 1-year prognosis of people living with HIV (PLWH) and HIV-negative controls who underwent percutaneous coronary intervention (PCI) for acute coronary syndromes (ACSs). Background Cardiovascular disease is drawing more and more attention in PLWH since effective antiretroviral therapy (ART) has been available. Clinical characteristics and outcomes of PLWH undergoing PCI for ACS in China remain unknown. Methods We compared demographic characteristics, angiographic features, and 1-year outcomes of 48 PLWH versus 48 HIV-negative controls matched for age (±2 years), sex, diabetes mellitus, and year of PCI (±2 years) in Beijing Ditan Hospital, Capital Medical University from January 2008 to November 2020. Results In PLWH (mean age: 53.6 ± 10.6 years, 95.8% male, and 79.2% on ART), high-density lipoprotein cholesterol was lower than in HIV-negative controls; however, the statin use was more common, the incidence of hypertension was lower, and low-density lipoprotein cholesterol, and the body mass index were significantly lower than in controls. Two groups had a similar extent of coronary atherosclerosis as measured by the presence of multivessel diseases and the median Gensini score; however, lesions of PLWH were longer and were more likely to locate at the proximal segment of the coronary artery. In addition, the risk of major adverse cardiac and cerebrovascular events at 1 year was similar in both groups. Conclusion PLWH undergoing PCI displayed similar CAD burden and 1-year prognosis compared with HIV-negative patients. Early detection of cardiovascular risk factors and appropriate secondary prevention of CAD in PLWH might alleviate the risk of severe adverse cardiovascular events.
Effect of pre-treatments on nutritional quality of dehydrated spine gourd (Momordica dioica Roxb.) powder

An exploration was conducted in the year 2017-2018 at College of Horticulture, Bagalkot, Karnataka, India to evaluate nutritional quality of dehydrated spine gourd (Momordica dioica Roxb.) slices as influenced by different pre-treatments. Spine gourd is a high value underexploited vegetable which is rich in nutrition, medicinal value and also having potential to cure many diseases and disorders with good cultivation potential. In order to enhance its availability in the offseason along with proper retention of nutritional property dehydration was carried out with different pretreatments as a preservative method. The effect of pretreatments on nutritional attributes was observed in the present study. The treatment T2 which include blanching of spine gourd slices for 3 min. and steeping in 0.2 per cent KMS and 2 per cent salt solution for 10 min. showed significantly best results with respect to protein (1.93%), ash (8.11%), total phenols (831.20 mg GAE/100g) and L*(78.32), a*(0.68), except b* (32.28) values and carbohydrate per cent (p>0.01). The effect of pre-treatments showed non-significant results for moisture, water activity, fat, crude fibre and calorific value (kcal/100g). It was concluded form the study that the pretreatment with KMS (0.2 %) and salt (2%) solution along with blanching for 3 min. was considered best with respect to nutritional quality retention.
Contribution of n-3 Long-Chain Polyunsaturated Fatty Acids to the Prevention of Breast Cancer Risk Factors

Nowadays, diet and breast cancer are studied at different levels, particularly in tumor prevention and progression. Thus, the molecular mechanisms leading to better knowledge are deciphered with a higher precision. Among the molecules implicated in a preventive and anti-progressive way, n-3 long chain polyunsaturated fatty acids (n-3 LC-PUFAs) are good candidates. These molecules, like docosahexaenoic (DHA) and eicosapentaenoic (EPA) acids, are generally found in marine material, such as fat fishes or microalgae. EPA and DHA act as anti-proliferative, anti-invasive, and anti-angiogenic molecules in breast cancer cell lines, as well as in in vivo studies. A better characterization of the cellular and molecular pathways involving the action of these fatty acids is essential to have a realistic image of the therapeutic avenues envisaged behind their use. This need is reinforced by the increase in the number of clinical trials involving more and more n-3 LC-PUFAs, and this, in various pathologies ranging from obesity to a multitude of cancers. The objective of this review is, therefore, to highlight the new elements showing the preventive and beneficial effects of n-3 LC-PUFAs against the development and progression of breast cancer.
Characteristics and Consequences of Medication Errors in Pediatric Patients Reported to Ramathibodi Poison Center: A 10-Year Retrospective Study

Purpose This study was performed to evaluate the clinical characteristics of, consequences of, and factors associated with medication errors (MEs) that cause harm to pediatric patients (<15 years of age) treated in the hospital setting. Patients and Methods We performed a 10-year retrospective study (January 2011–December 2020) by analyzing data from the Ramathibodi Poison Center. MEs were classified into categories A to I according to the severity of the outcome. Results In total, 121 patients were included in the study. Most (51.24%) patients were male. Their median age was 1 year (range, 1 hour–14 years). Infants, newborns, and toddlers were the three most common age groups in which MEs were reported. Most MEs occurred during the afternoon shift [n = 60 (49.59%)] and in the inpatient department (66.12%). The most common type of MEs was a dose error (64.46%). Antibiotics, sedative agents, and bronchodilators were the three most common classes of ME drugs. Four patients died. Three deaths occurred because of a dose error. One patient was a 1-year-old girl who received an iatrogenic intravenous phenytoin overdose of 10 times the normal dose, resulting in a phenytoin level of 72.4 mcg/mL. She died 22 hours after the ME occurred. The work shift was the only factor that significantly differed between patients with category C and D MEs and those with category E to I MEs. Conclusion Small children were at highest risk for MEs. MEs induced harm and deaths in some patients. A preventive and safety system, including appropriate shift work administration, should be emphasized and implemented to prevent and/or decrease the occurrence of MEs.