Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis of Tweets using Naïve Bayes Algorithm through R Programming

— The enlargement in development of web 2.0 and web enabled devices smacked huge user generated data hence attracted many researchers in the past years in the field of social media mining. The focal point in mining social media is for obtaining the important decision making opinions, attitudes, sentiments, and emotions. This paper uses naïve bayes algorithm to classify the sentiments and polarity of the tweets of Bengaluru traffic in detail with the help of opinion lexicon through R studio. The tweets on Bengaluru traffic are first accessed from twitter through streaming API, then preprocessed and functions containing naïve bayes classifier is used to classify the tweets into emotions and polarity, through classify emotions and classify polarity functions. Classify emotions functions makes use of naïve bayes algorithm for classifying the emotions into seven categories such as anger, disgust, fear, joy, sadness, surprise, and best fit. Classify polarity function receives two arguments, cleaned tweets and naïve bayes algorithm for classifying the polarity into positive sentiment and negative sentiment. The results are represented through plots in R studio.
Follow-up optical coherence tomography to evaluate circumflex ostium after fenestration of left main Papyrus covered stent: a case report

Abstract Background Left main (LM) perforations necessitating a covered stent risk sacrificing the side branch. The lost side branch can be promptly recovered by fenestration of the covered stent, using a stiff wire. However, it is unclear whether subsequent balloon angioplasty of the recovered side branch ostium is sufficient to preserve side branch patency. We report the longer-term patency of the circumflex (LCx) ostium after LM covered stenting. Case summary A 78-year-old lady, with stable angina, presented for elective angiography. Percutaneous coronary intervention of the left anterior descending (LAD) artery to LM was complicated by a distal LM perforation. A covered stent across the LM sealed the perforation but resulted in acute occlusion of the LCx. The LCx was rescued by fenestration of the covered stent with a stiff wire, followed by balloon angioplasty to the LCx ostium. At follow-up, the angina had resolved. However, follow-up angiography demonstrated a new severe stenosis at the LCx ostium, with remnants of the polyurethane membrane seen protruding into the LCx ostium on optical coherence tomography. Therefore, the LCx ostium was stented, using the reverse Culotte technique. Conclusion This case demonstrates that stenting the LCx ostium should be considered after covered stent implantation from LM to LAD, because balloon angioplasty of the LCx ostium may not provide a durable result in this scenario.
A modular experimental system for teaching fluid dynamics with Faraday waves

We describe a modular setup for the observation of Faraday waves on a vibrating bath. The setup will be used as a project exercise on fluid dynamics in a first-year course on experimental physics at Aarhus University as well as for future research on fluids. As a demonstration of the setup, the acceleration threshold for the onset of Faraday waves on a silicone oil bath as a function of the driving frequency is measured and compared to thresholds calculated using different existing models. The possibility to characterize surface waves with the system is demonstrated by recording and analyzing images of Faraday waves, e.g. showing explicitly that the Faraday waves in the present case are subharmonic and establishing the dispersion relation for the waves.
Potential risks of soil erosion in North-Central Vietnam using remote sensing and GIS

ABSTRACT Unsustainable exploitation activities (UEAs), combined with the increasing impacts of global climate change are the key causes that lead to soil erosion in the North-Central Vietnam. Mountainous areas in the North-Central Vietnam commonly have steep slopes and sandy clay in the surface soil layer, which contribute to enhancing the soil erosion, resulting in a serious loss of life and property. This study investigates the land cover change (LCC) across the Thanh Chuong district by combining Remote Sensing Technique (RST) data with Geographic Information System (GIS) and further, establishing erosion risk hazard maps based on the RUSLE model simulation. To achieve these objectives, Sentinel and Landsat satellite images from the period 2010_2021 were acquired. It was verified that the forest area gradually decreased from 2010_2021, and the average annual soil loss was approximately 25 t per year. The amount of erosion that led to a soil loss of up to 18% of the total land area is related to weather conditions, terrain features, and the soil texture. The decline in the vegetation cover is expected to be the main cause of increasing trends in erosion and soil loss.
A High-Gain DC-DC Converter with a Wide Range of Output Voltage

In fuel-cell-powered electric vehicles, the output characteristics of the fuel cell are relatively soft, and the output voltage is unstable. Therefore, a DC-DC converter is required between the fuel cell and the inverter to transform the output voltage of the fuel cell into a suitable voltage for the motor drive. Existing non-isolated DC-DC converters cannot meet the requirements of high voltage gain, high efficiency and a wide range of output voltage simultaneously. To improve these performances, a high-gain DC-DC converter with a wide range of output voltage, based on a switched capacitor structure, is proposed in this paper. The converter supplies power to the load by connecting multiple capacitors with the input source in series in switch-on states, while the input source charges the capacitors through a series connection with an inductor in switch-off states. In comparison to existing converters, the proposed converter maintains high voltage gain at lower duty ratios and offers a wide range of output voltage. The operating principles, key waveforms and parameter design of the topology in Continuous Conduction Mode (CCM) are described and analyzed in detail, and the voltage gain of the proposed converter is compared with some other DC-DC converters. Finally, the results of simulations using Simulink and hardware experiments that were conducted to validate the theoretical analysis are described.
DEVELOPMENT OF AN IoT-BASED KNEE EXOSKELETON DEVICE FOR REHABILITATION THERAPY MONITORING

The COVID-19 pandemic has presented a multitude of challenges pertaining to medical treatments and patient care, creating a pressing need for innovative solutions. Constrained outdoor activities have hindered patients' ability to access essential healthcare, while healthcare professionals encounter difficulties in remotely monitoring and administering treatments. This study aims to address these pressing issues by proposing an Internet of Things (IoT)-based exoskeleton system designed for the monitoring of knee rehabilitation therapy. Through the utilization of the IoT platform ThingSpeak, this developed system enables patients to remotely monitor the status of their knee recovery from the comfort of their homes. The collected data is securely stored and made accessible to healthcare professionals, facilitating remote analysis and the formulation of treatment recommendations. This pioneering solution amalgamates advancements in exoskeleton technology with seamless IoT integration, establishing a dependable and easily accessible framework for the monitoring of knee rehabilitation. By empowering patients to actively participate in their own recovery process and enabling remote monitoring by healthcare providers, this system effectively surmounts the limitations imposed by the pandemic and financial constraints. The proposed IoT-based exoskeleton system possesses the potential to revolutionize knee rehabilitation therapy, thereby enhancing patient engagement, optimizing treatment outcomes, and circumventing traditional healthcare barriers.
Nature of Drug and Substance Abuse in Kilifi and Mombasa Counties of Coastal Kenya

Drug and substance abuse has become one of the looming human-induced disasters globally, making it a profound concern among the comity of nations owing to the significant detrimental effects it has in almost every aspect of life and development. In Kenya, it has become one of the major social catastrophes with the commonest and most easily identifiable manifest in public health. Specific objective of the study was to examine the nature of drug and substance abuse in selected counties in the coastal region, Kenya. The study was guided by the social learning theory and functionalism theory. The study was further underpinned by the interpretivism approach. The study used descriptive and evaluative research designs, with data collected through interviews and focus group discussions. The study was conducted in Kilifi and Mombasa Counties. Data was collected from 552 respondents, who included 384 household heads, 20 victims, 2 county education officers, 2 county commissioners, 2 county health officers, 70 administrative chiefs, 102 village elders, 9 head of NACADA officers, and 8 religious leaders. The study revealed that drug abuse is a significant problem affecting individuals of all ages and socio-economic backgrounds. Commonly abused substances include alcohol 99% (383), khat 98% (378), tobacco 97% (376), cannabis 94% (364), heroin 89% (341), cocaine 88% (337), prescription drugs 85% (326), and methamphetamine 80% (307). Both males 75% (289) and 25% (95) females engage in drugs and substance abuse. The main causes of the menace are unemployment 99% (380), poverty 98% (376), mental illnesses 97% (373) and curiosity and experimentation 96% (370). The study recommends strict border control, adequate provision of adequate security personnel at the border posts, and adoption of new technologies to aid in surveillance and monitoring and tracking of the smugglers.
Intrusion signal classification using stochastic configuration network with variable increments of hidden nodes

Abstract. In the environmental security monitoring application, an optical fiber prewarning system (OFPS) functions not only to locate the intrusion events but also recognize them. As a nonlinear network for recognition, the stochastic configuration network (SCN) is considered a promising method because it does not require setting the network scale beforehand. However, in the specific requirements of the application of OFPS, due to the small feature distance of different intrusion signals to be classified, it is necessary to set a smaller value of error tolerance. However, the side-effect is that meeting the constraint condition faces a challenge. To overcome this, we improve the configuration method of the hidden layer nodes in the SCN network. In the proceeding of the network process, the increment of the hidden layer nodes in each loop is gradually increased, and the space of the corresponding random parameters generated is enlarged. The SCN with variable increments of hidden nodes can adjust the number of hidden nodes added in each loop for continuous construction and obtaining higher classification accuracy. This study has a great significance for the application of SCN in the classification of intrusion signals in OFPS.
Exploring the Influence of Perceived Ingroup and Outgroup Threat on Quality of Life in a Region Impacted by Protracted Conflict

While the detrimental effects of protracted political conflict on the wellbeing of Palestinians living in the occupied Palestinian territory (oPt) are generally recognized, the impact of perceived threat on quality of life (QoL) faced from within their community (ingroup; Palestinians) and from the outgroup (Israelis) is unexplored. This cross-sectional study examined the following: (1) The status of perceptions of QoL on four domains measured by the World Health Organization Quality of Life (WHOQoL-Bref) instrument, physical health, psychological health, social relationships, and environment, among Palestinian adults (n = 709) living in the Gaza Strip; (2) The associations between perceived ingroup threat (PIT) and QoL on the four domains; (3) The associations between perceived outgroup threat (POT) and QoL on the four domains. Multivariable linear regression models revealed PIT was negatively associated with QoL in each of the four domains (p < 0.001). POT was positively associated with QoL in three of the four domains: physical health (p < 0.001), psychological health (p < 0.001), and social relationships (p < 0.001). This study contributes valuable insights into how QoL is viewed by a group experiencing collective existential threat. The findings expand the limited recognition of the reciprocal roles of perceived threat from the ingroup and outgroup on the QoL of vulnerable populations.
Effects of physical training programs on female tennis players’ performance: a systematic review and meta-analysis

Background: Tennis is among the world’s most popular and well-studied sports. Physical training has commonly been used as an intervention among athletes. However, a comprehensive review of the literature on the effects of physical training programs on female tennis players’ performance is lacking. Therefore, this systematic review and meta-analysis aimed to determine the effects of physical training on performance outcomes in female tennis players. Methods: A comprehensive search was conducted on Web of Science, PubMed, SPORTDicus, Scopus, and CNKI from inception until July 2023 to select relevant articles from the accessible literature. Only controlled trials were included if they examined the effects of physical training on at least one measure of tennis-specific performance in female tennis players. The Cochrane RoB tool was employed to assess the risk of bias. The CERT scale was used to examine the quality of program information. The GRADE approach was adopted to evaluate the overall quality of the evidence. The Comprehensive Meta-Analysis software was used for the meta-analysis. Results: Nine studies were selected for the systematic review and seven for the meta-analysis, totaling 222 individuals. The study’s exercise programs lasted 6–36 weeks, with training sessions ranging from 30 to 80 min, conducted one to five times per week. Muscle power (ES = 0.72; p = 0.003), muscle strength (ES = 0.65; p = 0.002), agility (ES = 0.69; p = 0.002), serve velocity (ES = 0.72; p = 0.013), and serve accuracy (ES = 1.14; p = 0.002) demonstrated significant improvement following physical training, while no notable changes in linear sprint speed (ES = 0.63; p = 0.07) were detected. Conclusion: Although research on physical training in sports is diversified, studies on training interventions among female tennis players are scarce. This review found that existing training programs yield some favorable outcomes for female tennis players. However, further research with high methodological quality is warranted on the tailoring of specific training programs for female tennis players. There should be more consistent measuring and reporting of data to facilitate meaningful data pooling for future meta-analyses.
VALIDATION OF USE OF SCHWARTZ FORMULA AGAINST CREATININE CLEARANCE IN THE ASSESSMENT OF GFR IN CHILDREN

Background: GFR is the most important index in monitoring renal functions. Thus, the present study aimed to evaluate the validity or accuracy of the Schwartz formula in predicting GFR by comparing it with creatinine clearance. Materials and Methods: In this study, 160 children were involved. They were subdivided according to their GFR by creatinine clearance and BMI. All their GFR measured using both creatinine clearance and bedside Schwartz formula were analyzed and compared. Result: In predicting GFR in children with impaired renal function by creatinine clearance <75 ml/min/1.73 m 2 , the Schwartz formula has a Sensitivity of 92.04%, specificity of 62.5%, Positive predictive value of 75%, Negative predictive value of 86.53%, Overall predictive accuracy of 78.75. There is a significant correlation (r = 0.8) between the Schwartz formula and creatinine clearance. Children with a BMI of 15 and above have a Sensitivity of 94.44%, specificity of 63.83%, Positive predictive value of 75%, Negative predictive value of 90.90%, and overall predictive accuracy of 80.19%. This was much better than children with BMI <15. Schwartz's formula had good overall predictive accuracy in well-nourished children compared to undernourished children. Conclusion: The Bedside Schwartz formula can predict a rough estimate of GFR in well-nourished children. To precisely calculate GFR, other formulas involving other substances like cystatin can be tried
Clinical Studies on the Supplementation of Manufactured Human Milk Oligosaccharides: A Systematic Review

Human milk oligosaccharides (HMOs) are a major component of human milk. They are associated with multiple health benefits and are manufactured on a large scale for their addition to different food products. In this systematic review, we evaluate the health outcomes of published clinical trials involving the supplementation of manufactured HMOs. We screened the PubMed database and Cochrane Library, identifying 26 relevant clinical trials and five publications describing follow-up studies. The clinical trials varied in study populations, including healthy term infants, infants with medical indications, children, and adults. They tested eight different HMO structures individually or as blends in varying doses. All trials included safety and tolerance assessments, and some also assessed growth, stool characteristics, infections, gut microbiome composition, microbial metabolites, and biomarkers. The studies consistently found that HMO supplementation was safe and well tolerated. Infant studies reported a shift in outcomes towards those observed in breastfed infants, including stool characteristics, gut microbiome composition, and intestinal immune markers. Beneficial gut health and immune system effects have also been observed in other populations following HMO supplementation. Further clinical trials are needed to substantiate the effects of HMO supplementation on human health and to understand their structure and dose dependency.
Is No-Tillage Enough? A Field-Scale Watershed Assessment of Conservation Effects

A method of producing a compound represented by the formula: wherein R1 stands for hydrogen or an optionally substituted alkyl or acyl group, which comprises reacting a compound represented by the formula: wherein R1 is of the same meaning as defined above, and R2 stands for an optionally halolgenated alkyl group or an optionally substituted phenyl group with a compound represented by the formula: in a lower alcohol in the presence of an alkali metal or alkaline earth metal carbonate; the compound (III) being useful as starting compounds for producing thiazolidinedione derivatives having hypoglycemic and hypolipidemic activities.
Human-centered algorithmic composition for well-being music

The use of music to bring about health benefits is a well-established practice the outcomes of which have been confirmed by research in recent years. By leveraging this capability, the algorithmic composition aimed at producing specific effects on the listener has become a growing field for the automatic creation of well-being music. This work makes a contribution to this field, through a documentary investigative study that puts forward a comprehensive set of human-centered features that should be included in the algorithmic composition of music for well-being. The results are based on a systematic review of 60 papers published in the last few years. The set is divided into categories as a means of assisting their use by the teams involved.
TREATMENT OUTCOME AND PROGNOSIS OF TNBC WITH MAINTENANCE METRONOMIC THERAPY-A REPORT OF 22 CASES WITH REVIEW OF LITERATURE

Background: Triple-negative breast cancer (TNBC) is a heterogeneous subtype of breast cancer. Currently, there is no universally accepted standard chemotherapy regimen for adjuvant treatment of TNBC. The analysis of our cases has demonstrated a significant improvement in the survival and good tolerability with a maintenance metronomic therapy. Materials and Methods: All 22 patients were diagnosed with TNBC at curable stages (Stage I to Stage IV) and had minimal metastasis without visceral crisis. The left breasts (54.5%) were found to be slightly more predisposed than the right (45.5%). Out of 22 patients, 12 were post-menopausal. Result: Adjuvant chemotherapy with 4 cycles of FAC was given to 8 patients, along with 4. cycles of PMRT (post-mastectomy radiation therapy) in 2 patients and without PMRT in 1 patient. One patient had MRM (modified radical mastectomy) followed by BCS (breast-conserving surgery) treatment. Conclusion: Metronomic chemotherapy provides a minimum biologically effective dose of a chemotherapeutic agent in a continuous dosing regimen, without prolonged drug-free periods leading to superior antitumor activity in TNBC. The lack of adequate data and defined protocols regarding the use of metronomic therapy has been a deterrent for its widespread clinical application.
Investigating the influence of diet diversity on infection outcomes in a bumble bee (Bombus impatiens) and microsporidian (Nosema bombi) host-pathogen system

Diet can have an array of both direct and indirect effects on an organism’s health and fitness, which can influence the outcomes of host-pathogen interactions. Land use changes, which could impact diet quantity and quality, have imposed foraging stress on important natural and agricultural pollinators. Diet related stress could exacerbate existing negative impacts of pathogen infection. Accounting for most of its nutritional intake in terms of protein and many micronutrients, pollen can influence bee health through changes in immunity, infection, and various aspects of individual and colony fitness. We investigate how adult pollen consumption, pollen type, and pollen diversity influence bumble bee Bombus impatiens survival and infection outcomes for a microsporidian pathogen Nosema (Vairimorpha) bombi. Experimental pathogen exposures of larvae occurred in microcolonies and newly emerged adult workers were given one of three predominantly monofloral, polyfloral, or no pollen diets. Workers were assessed for size, pollen consumption, infection 8-days following adult-eclosion, survival, and the presence of extracellular microsporidian spores at death. Pollen diet treatment, specifically absence of pollen, and infection independently reduced survival, but we saw no effects of pollen, pollen type, or pollen diet diversity on infection outcomes. The latter suggests infection outcomes were likely already set, prior to differential diets. Although infection outcomes were not altered by pollen diet in our study, it highlights both pathogen infection and pollen availability as important for bumble bee health, and these factors may interact at different stages of bumble bee development, at the colony level, or under different dietary regimes.