Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing a horticultural intervention to improve food security: evaluation of mulching practices using sustainability indicators

ABSTRACT The present project was aimed toward obtaining a model of sustainable gardening practices for a horticultural intervention (HI) in Ahuazotepec, México. Different mulching materials (sand, compost, plastic, and sawdust) were evaluated in terms of sustainability and food and nutrition security using a set of locally relevant multidimensional indicators. A vegetable production field-test was established and monitored during two seasons. The global sustainability of the treatments was in the order of Compost>Plastic>Sand>Sawdust. Compost mulch was an economic, environmental, and socially sustainable option to improve vegetable and nutrient yields, and thus can be recommended for an HI in low-input systems.
The role of antiangiogenic agents in multidrug cancer therapy

Wiele danych wskazuje na to, ze nowotwory nie mogą sie rozwijac bez wlasnej sieci naczyn krwionośnych i limfatycznych. Zahamowanie procesow powstawania tej sieci - glownie angiogenezy - moze powodowac śmierc komorek nowotworowych. Obserwacje te staly sie podstawą nowej strategii terapeutycznej: terapii antyangiogennej. Skutecznymi lekami antyangiogennymi okazaly sie leki hamujące aktywnośc naczyniowo-środblonkowych czynnikow wzrostu (VEGF) oraz ich receptorow (VEGFR-1, 2, 3). Wyniki badan przedklinicznych i klinicznych wskazują, ze leczenie antyangiogenne moze byc istotnym elementem terapii wielolekowej, ktorej celem są zarowno komorki nowotworowe, jak i komorki środblonkowe naczyn nowotworowych. W pracy przedstawiono zalety i niektore ograniczenia terapii wielolekowej.
Threat Assessment Techniques in Intelligent Vehicles: A Comparative Survey

Threat assessment evaluates the situational criticality and helps guarantee the driving safety of intelligent vehicles. Many critical metrics have been proposed for threat assessment, and it is essential to choose a suitable critical metric to address specific driving tasks under different driving conditions. This study presents a comparative overview of the state-of-the-art critical metrics based on real-world driving data validations. The critical metrics are categorized into five groups, i.e., time-based metrics, kinematics-based metrics, statistics-based metrics, potential field-based metrics, and unexpected driving behavior-based metrics. Benefits and limitations of the critical metrics are compared and validated based on the real-world data from naturalistic driving study, field operational test, and numerical simulations. Three typical driving scenarios, i.e., car-following, cut-in, and pedestrian-crossing, are extracted to evaluate the effectiveness of the critical metrics. Challenges and future researches of the critical metrics are also highlighted. This comprehensive and comparative overview is expected to assist with a system-level design for threat assessment of intelligent vehicles.
Evaluating the effect of exercise and nutrition on bone density in rats

Introduction: The aim of this research was to study the effect of a 6-week supplemented diet on increasing bone density by measuring calcium, phosphorus and bone mineral density (BMD) in male rats. Materials and methods: In this experimental study, 24 Wistar male rats, aged between 15 and 20 days, were selected. The rats were randomly divided into 3 groups: immune system supplement (ISS), ISS plus exercise and control. Daily swimming was performed by timeincreasing (starting from ten minutes and ten minutes was added each day and was fixed at sixty minutes). Supplements strengthening the immune system containing calcium and phosphorus were given to rats (5g/kg/day). After six weeks, BMD was measured using bone densitometer. Animals were anesthetized with ketamine and blood samples were gathered in order to separate their serum. The serum samples were used to measure calcium, phosphorus by the ELISA method. Results: The results showed that in both groups (ISS plus exercise and ISS), BMD was higher than the control group. The highest level of calcium, phosphorus and BMD was seen in the group whose members were ISS plus exercise group. In contrast, the least amount of the mentioned markers was reported in the control group. Conclusion: The results indicate a small but positive effect of ISS on whole body BMD in male rat; also results indicate the combination of exercise and proper nutrition was more effective on increasing the bone density in comparison with the proper nutrition sedentary group.
Effects of Magnesium Supplementation on Muscle Soreness and Performance

Abstract Reno, AM, Green, M, Killen, LG, O'Neal, EK, Pritchett, K, and Hanson, Z. Effects of magnesium supplementation on muscle soreness and performance. J Strength Cond Res 36(8): 2198–2203, 2022—This double-blind, between-group study examined effects of magnesium (Mg) supplementation (350 mg·d−1, 10 days) on muscle soreness and performance. College-aged male (n = 9) and female (n = 13) subjects completed baseline and posttreatment eccentric bench press sessions inducing fatigue/soreness followed by performance sessions (total volume and repetitions to failure [RTF] [65, 75, and 85% of 1 repetition maximum]) 48 hours later with perceptual measures. Subjects estimated soreness using a Delayed Onset of Muscle Soreness scale by striking a vertical line on a 6-cm horizontal line (at 24, 36, and 48 hours post trial) from 0—no soreness to 6—intolerable soreness. Results are presented as means ± SD (alpha ≤0.05). Mg significantly reduced (∼1–2 units lower on a 6-point scale) muscle soreness from the baseline eccentric to postintervention trial 24, 36, and 48 hours with no significant change for placebo (Pla) group. Performance approached significance for total RTF (p = 0.06) and 65 and 75% RTF (p = 0.08) (Mg vs. Pla). Perceptual responses for session rating of perceived exertion and acute rating of perceived exertion were significant for Mg (5.1 ± 2.4 to 4.1 ± 2.0) vs. Pla (5.0 ± 1.8 to 5.5 ± 1.6). Perceived recovery after supplementation was improved vs. baseline for Mg (5.4 ± 2.2 to 7.5 ± 2.3) but not for Pla (6.2 ± 2.4 to 7.2 ± 3.3). Results show significantly reduced muscle soreness, session rating of perceived exertion, acute rating of perceived exertion, and improved perceived recovery after Mg (vs. Pla) supplementation and some evidence for positive performance impact.
Methodology for assessing vulnerability and climate risk of villages in Citarum River Basin, West Java, Indonesia

River basins provide homes and livelihoods to millions of people and play important roles in providing water for agriculture, drinking, industry and sewage as well as for hydropower energy production. The threat of climate change on water resources is serious and has to be taken into account in developing short, medium, and long-term development and management plans of river basins. The competition for water resources is projected to increase significantly, not only because of growing global population but also due to increasing demands from industry and agriculture. The impacts of climate change will put further stresses on water resources with projected changes in precipitation patterns. Potentially, more extreme rainfall events will occur, which will cause increased runoff and leave less water available to recharge the groundwater. The study assessed the overall vulnerability profile of the villages over the 2005 to 2011 period. The vulnerability assessment showed that villages classified as ‘very vulnerable’ are characterised by seven key areas: limited access to clean water particularly during the dry season, many households and buildings being located near the river banks, main economic activities being dependent on agriculture, limited access to electricity, lack of education, and health facilities. There were 17 very vulnerable villages in 2011 in the CRB. The current level of climate risk in these villages is still medium, but in the future the risk will increase significantly. Immediate adaptation actions (within 1 to 5 years) are recommended for 25 villages. Short term adaptation actions (within 5 to 10 years) are recommended for over 100 villages.
Clinico-Laboratory Profile and Drug Sensitivity Pattern in Urinary Tract Infection of Children in a Tertiary Care Hospital

Background: Urinary tract infection (UTI) is common in children. About 7% girls and 2% of boys suffer from symptomatic, culture positive UTI by 6 years of age. These children present with poor feeding, irritability, vomiting, fever, abdominal pain or failure to thrive. Now a days antibiotic resistance is a global problem which hampers appropriate treatment of urinary tract infection in children. This study was done to see clinical profile, common pathogens and their drug sensitivity pattern in UTI. Methodology: It is a prospective study conducted in Delta Medical College & Hospital, Dhaka. All cases collected from outdoor patient or inpatient who were clinically suspected as UTI were enrolled in this study from January 2015 to July 2017. Total 200 cases were included. History was taken properly. Diagnosis of UTI was confirmed by urinalysis and culture sensitivity (C/S). All informations were recorded in preformed data sheet. Results: Usual presentations of UTI were fever, abdominal pain, vomiting, constipation, urinary complaints, poor feeding, labial adhesion, jaundice, excessive straining. Out of 200 cases 168 were culture positive. Group III age group (> 1year- 5 year) showed higher rate of UTI. UP to one year of age males were more affected than female and beyond one-year females were more affected than male. Most common isolated uropathogen was Escherichia coli. Most sensitive drugs for the pathogen were Imipenem and meropenem (89.39%) - Injectable form and nitrofurantoin (73.48 %)- Oral form. Conclusion: Presentation of UTI in case of young infant is different from older children. Clinical suspicion is important for early detection of UTI. Before starting antimicrobial therapy, we must do urinalysis and culture sensitive test to prevent recurrent UTI. Bangladesh J Child Health 2019; VOL 43 (2) :74-79
Analysis of Decision Support System Based on 2-Tuple Spherical Fuzzy Linguistic Aggregation Information

The aim of this paper is to propose the 2-tuple spherical fuzzy linguistic aggregation operators and a decision-making approach to deal with uncertainties in the form of 2-tuple spherical fuzzy linguistic sets. 2-tuple spherical fuzzy linguistic operators have more flexibility than general fuzzy set. We proposed a numbers of aggregation operators, namely 2-tuple spherical fuzzy linguistic weighted average, 2-tuple spherical fuzzy linguistic ordered weighted average, 2-tuple spherical fuzzy linguistic hybrid average, 2-tuple spherical fuzzy linguistic weighted geometric, 2-tuple spherical fuzzy linguistic ordered geometric, and 2-tuple spherical fuzzy linguistic hybrid geometric operators. The distinguishing feature of these proposed operators is studied. At that point, we have used these operators to design a model to deal with multiple attribute decision-making issues under the 2-tuple spherical fuzzy linguistic information. Then, a practical application for best company selection for feeds is given to prove the introduced technique and to show its practicability and effectiveness. Besides this, a systematic comparison analysis with other existent methods is conducted to reveal the advantage of our method. Results indicate that the proposed method is suitable and effective for decision making problems.
GroundwaterDupuitPercolator: A Landlab component for groundwater flow

1 Johns Hopkins University, Department of Environmental Health and Engineering 1 2 University of Colorado at Boulder, Department of Geological Sciences 3 University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences 4 University of Colorado at Boulder, Community Surface Dynamics Modeling System Integration Facility 1 Johns Hopkins University, Department of Earth and Planetary Science 5 DOI: 10.21105/joss.01935
Polygenic score application to complex trait prediction

Decades of quantitative genetics research has led to the conclusion that all human behavioural traits tested to date show genetic influence to varying degrees. However, powerful individual-level genetic prediction based on measured genetic variation has only become feasible more recently through technological and methodological advancements. Especially over the past decade, the application of genetic prediction methods has grown exponentially, permeating research in the social, behavioural and biomedical sciences. This thesis seeks to investigate developmental and multivariate research questions, as well as genotype-environment interplay through the use of a broad range of polygenic scores analysis approaches and phenotypes. The research sample in this work was the UK Twins Early Development Study (TEDS), utilised to investigate the predictive accuracy of a genome-wide polygenic score (GPS) for years of education for a variety of cognitive and noncognitive traits (Chapter 2 and 3); the shared genetic aetiology between a range of psychiatric disorders (Chapter 4); potential genotype-environment interactions (GxE) for education and intelligence using the polygenic score for years of education (Chapter 2); the influence of evocative genotype-environment correlation (rGE) in the relationship between child bodymass index and parental feeding practices (Chapter 5); and finally, the effect of passive rGE on polygenic score prediction estimates across various trait domains by comparing withinand between-family polygenic score predictions (Chapter 6). This thesis provided evidence that 1) target trait prediction estimates of the GPS for years of education represent the strongest polygenic prediction of any behavioural trait; 2) the GPS for years of education is associated with a wide range of traits, including cognition, personality, BMI, physical and mental health, and environmental measures; 3) the substantial genetic overlap between psychiatric disorders may be due to a common genetic factor; 4) there is no evidence for GxE for cognitive and educational outcomes using the GPS for years of education; and 5) evocative and passive rGE can be detected and quantified through GPS analysis. Leveraging a broad range of phenotypes and GPS, this thesis illustrates the usefulness of the polygenic score approach in research. General implications, limitations and future directions will be discussed (Chapter 7).
Taxonomic nestedness based on guilds? Bird assemblages of the Jardines de la Reina National Park, Cuba, as study case

Nestedness is a widely known structuring model in insular and fragmented biotas that has often been assessed, but most studies to date have used a taxonomic approach. However, the relevance of an approach using functional groups has become increasingly highlighted in community ecology research. In this study, we evaluated the occurrence of nested structure in the Jardines de la Reina National Park bird assemblages as a whole, and its trophic guilds by following three different grouping criteria. We constructed species presence–absence matrices for each guild and estimated the degree of nestedness with the metric based on the overlap and decreasing fill, assessing its significance by means of two null models. Overall bird assemblage was significantly nested (NODF = 76.99; p = 0.01) whereas terrestrial insectivores (NODF = 81.32) and insectivores (NODF = 80.04) were the only trophic guilds (out of 19) that showed significant nestedness (p ≤ 0.01). These results could provide evidence of the structural and functional cohesion of avifauna at the study site, especially among its insect–eating taxa. Taxonomic nestedness based on a guilds approach may help identify suitable conservation strategies for avian communities inhabiting naturally fragmented areas such as the Jardines de la Reina National Park.
Performance Bounds for Displaced Sensor Automotive Radar Imaging

In automotive radar imaging, displaced sensors offer improvement in localization accuracy by jointly processing the data acquired from multiple radar units, each of which may have limited individual resources. In this paper, we derive performance bounds on the estimation error of target parameters processed by displaced sensors that correspond to several independent radars mounted at different locations on the same vehicle. Unlike previous studies, we do not assume a very accurate time synchronization among the sensors. Instead, we consider only frame-level time alignment which is more common and practical in modern automotive sensor networks. We first develop a displaced multiple-input multiple-output (MIMO) frequency-modulated continuous-wave (FMCW) radar signal model under coarse synchronization and then propose processing models relevant to modern automotive radars such as point-cloud-based fusion and raw signal imaging. Contrary to earlier works based on deterministic Cramér-Rao lower bound, our displaced sensors framework is Bayesian. Numerical experiments with our proposed non-coherent processing of displaced MIMO FMCW radars show an order of performance improvement in position estimation over the conventional point-cloud fusion.
Distributed Control for Cooperative Manipulation With Event-Triggered Communication

Cooperative manipulation tasks can be divided into the subtasks of object trajectory tracking and grasp maintenance. Both subtasks typically pose individual requirements on the underlying control objective in terms of accuracy and robustness to disturbances. In this article, we propose a novel distributed impedance control scheme, resulting in a flexible control design to meet the individual—potentially conflicting—impedance goals of the respective subtasks. In order to achieve more efficient use of the communication resource, we propose an event-triggered strategy for the communication between the robotic agents. Robust, stability also in interaction with unknown objects and unknown environments, is guaranteed via passivity-based control design. Simulations and experimental results show that, with the proposed communication strategy, the number of transmissions between agents can be significantly reduced while maintaining the flexibility introduced by the distributed controller.
A Review On Techniques In Trend To Treat Postpartum Hemorrhage

Postpartum hemorrhage is a major cause of maternal mortality worldwide. It is an obstetric emergency which gets complicated through vaginal or caesarean delivery. According to the estimation of WHO (World Health Organization) nearly 14 million people suffer from PPH around the world, in which one death occurs every 4 minutes. Postpartum bleeding is defined as the loss of blood in which 500ml from female genital tract after the delivery of the fetus or 1000ml in caesarean section. The obstetric bleeding is divided into two categories that are the primary (within 24hrs of delivery) and secondary (after 24hrs and up to 6 weeks of delivery) This literature survey reveals the overview of causes, available treatments through first line therapy (medicines), second line therapy (surgeries) and recent development in the treatments are enumerated. It will be more informative for researchers and medical practitioners who are in search of bringing further advancement in this field.later Index Terms : PPH, Healthcare, Women,Obstetric emergency, Health, Factors. ——————————  ——————————
Empagliflozin a srdeční selhání

Podan strucný přehled problematiky souvislosti srdecniho selhani a diabetes mellitus ve vztahu k lecbě novým peroralnim antidiabetikem empagliflozinem ze skupiny inhibitorů SGLT2 (sodium glucose cotransporter 2). Ve studii EMPA-REG OUTCOME® prokazal empagliflozin významne sniženi kardiovaskularnich přihod, zvlastě výskytu a hospitalizaci pro srdecni selhani.
Kapitel 3: The use of blockchain technology for climate action

In recent years, the relatively new blockchain technology has been attributed increasing importance. Progress in this technology could open up new opportunities for sustainable purposes. This chapter examines existing opportunities in relation to climate action and the extent to what technology could influence it. In particular, the influence on the Sustainable Development Goals is to be demonstrated. For this purpose, existing literature was analyzed, and a qualitative empirical study was carried out. Two interviews were conducted with a co-founder of a blockchain company and an environmental consultant. It was found that the technology could have an impact on climate change action and that some ideas and scenarios have already been developed, while some negative aspects of the technology would have to be addressed beforehand. It could also be shown that in the near future the possibilities will initially be limited to SDG 13: Climate Action and SDG 17: Partnerships for the Goals. In the long term, however, all SDGs could benefit from the technology. Kapitel 3:
Introductory Chapter: Obesity – A Worldwide Problem

“Adipositas” or “obesity” remains an increasing problem, escalating with alarming speed worldwide. As this introductory chapter is written, it is estimated that there exist between 380 and 500 million obese people worldwide (depending on the definition of obesity). Obesity is normally defined as: “A condition of abnormal or excess body fat (triglycerides), which is associated with a number of disorders of life-threatening or debilitating disorders or diseases”.
Dificultades en las relaciones interpersonales y Fear of Missing Out: ¿predictores del riesgo de adicción a las redes sociales?

El propósito de la presente investigación fue estudiar el perfil psicológico de los adolescentes con riesgo de adicción a las redes sociales. Participaron 240 individuos de un instituto público de la localidad burgalesa de Aranda de Duero con edades comprendidas entre los 12 y los 18 años. Los instrumentos utilizados fueron el Cuestionario de Evaluación de Dificultades Interpersonales (CEDIA), la adaptación española de la Fear of Missing Out scale (FoMO; miedo a perderse algo) y la Escala de Riesgo de Adicción-adolescente a las Redes Sociales e Internet (ERA-RSI). Se encontró que existe una relación estadísticamente significativa entre FoMO y el riesgo de adicción a RSI (p<0.05). Las dificultades en las relaciones interpersonales no se asociaron con mayor riesgo de adicción, a excepción de las relaciones familiares, que sí lo hicieron. Por lo tanto, FoMO podría emplearse como predictor del riesgo de adicción a RSI. La investigación en los factores de alarma de adicción a las redes sociales requiere una atención especial, ya que su conocimiento permitiría prevenir el desarrollo de conductas desadaptativas en los adolescentes.
Forest optimization algorithm‐based feature selection using classifier ensemble

Features selection is the process of choosing the relevant subset of features from the high‐dimensional dataset to enhance the performance of the classifier. Much research has been carried out in the present world for the process of feature selection. Algorithms such as Naïve Bayes (NB), decision tree, and genetic algorithm are applied to the high‐dimensional dataset to select the relevant features and also to increase the computational speed. The proposed model presents a solution for selection of features using ensemble classifier algorithms. The proposed algorithm is the combination of minimum redundancy and maximum relevance (mRMR) and forest optimization algorithm (FOA). Ensemble‐based algorithms such as support vector machine (SVM), K‐nearest neighbor (KNN), and NB is further used to enhance the performance of the classifier algorithm. The mRMR‐FOA is used to select the relevant features from the various datasets and 21% to 24% improvement is recorded in the feature selection. The ensemble classifier algorithms further improves the performance of the algorithm and provides accuracy of 96%.