Miracle-dz/UniFAR-FTUs huggingface dataset:
The leafy greens of India - their diversity, pattern of consumption, and overriding implication on food and nutrition security

ABSTRACT Green leafy shoots are important components of the food culture of many Asian and African countries. We examined this aspect in India where a living tradition of consuming leafy green is ubiquitous. We investigated a database drawn from 105 studies to analyze the edible species diversity, spatial distribution, culinary diversity as a measure of acceptance, and complemented our interpretation with nutritional composition. We discussed it in light of the crisis of hidden hunger, agrarian change, and in formulating food policy. India demonstrated a rich heritage of eating leafy shoots that resonated in a high diversity of species (723 species) and culinary delicacies to accept them in various forms suiting its culture of taste. These plants are charged with key vitamins and minerals to mitigate micronutrient deficiency. Altogether, it emphasized their untapped potential to ensure nutritional security alleviating hidden hunger, specifically combating vitamin A deficiency. We also observed a heterogeneous distribution of edible species diversity across the regions perhaps affected by plant choice and suggested a data-driven framework to select a set of species for policy intervention. Building on our findings, we proposed their inclusion in national food policy through the encouragement of cultivation, awareness generation, and incorporation into meals.
Simultaneous Resection of Pancreatic Neuroendocrine Tumors with Synchronous Liver Metastases: Safety and Oncological Efficacy

Simple Summary Up to half of all newly diagnosed pancreatic neuroendocrine tumors (PNET) present with liver metastases (LM). The surgical resection of PNETs and LMs can provide complete tumor clearance and improve long-term survival. However, the combination of liver and pancreatic resection simultaneously can theoretically cumulate the morbidity and mortality of two separate operations. In the current study, we analyzed the outcomes of the synchronous surgical resection of PNETs and LMs in 51 patients. There were no differences in the postoperative outcomes in terms of mortality and morbidity according to the type of pancreatic resection. The tumor grade was identified as the sole prognostic factor for survival. The resection of well-differentiated PNETs with LMs was characterized by the longest survival rates (median overall survival 128 months, 5-year overall survival 83%). The optimal sequential surgical strategies for PNETs with LM and the use of neoadjuvant/adjuvant chemotherapy in this category of patients remain to be further investigated. Abstract Whether the simultaneous resection of pancreatic neuroendocrine tumors (PNET) with synchronous liver metastases (LM) is safe and oncologically efficacious remains to be debated. We retrospectively reviewed clinical data from patients who underwent the simultaneous resection of PNETs with LMs over the last 25 years. Fifty-one consecutive patients with a median age of 54 years (range 27–80 years) underwent pancreaticoduodenectomy (PD) (n = 16), distal pancreatosplenectomy (DSP) (n = 32) or total pancreatectomy (n = 3) with synchronous LM resection. There were no differences in the postoperative outcomes in term of mortality (p = 0.33) and morbidity (p = 0.76) between PD and DSP. The median overall survival (OS) was 64.78 months (95% CI: 49.7–119.8), and the overall survival rates at 1, 3, and 5 years were 97.9%, 86.2% and 61%, respectively. The OS varied according to the tumor grade (G): G1 (OS 128 months, 5-year OS 83%) vs. G2 (OS 60.5 months, 5-year OS 58%) vs. G3 (OS 49.7 months, 5-year OS 0%) (p = 0.03). Multivariate Cox analysis identified G as the only prognostic factor (HR: 5.56; 95% CI: 0.91–9.60; p = 0.01). Simultaneous PNETS with LMs can be performed safely with acceptable morbidity and mortality at tertiary centers. Well-differentiated PNETs had longer survival and might benefit the most from these extended surgeries.
Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

As a novel paradigm for data mining and dimensionality reduction, Non-negative Matrix Tri-Factorization (NMTF) has attracted much attention due to its notable performance and elegant mathematical derivation, and it has been applied to a plethora of real-world applications, such as text data co-clustering. However, the existing NMTF-based methods usually involve intensive matrix multiplications, which exhibits a major limitation of high computational complexity. With the explosion at both the size and the feature dimension of texts, there is a growing need to develop a parallel and scalable NMTF-based algorithm for text data co-clustering. To this end, we first show in this paper how to theoretically derive the original optimization problem of NMTF by introducing the Lagrangian multipliers. Then, we propose to solve the Lagrange dual objective function in parallel through an efficient distributed implementation. Extensive experiments on five benchmark corpora validate the effectiveness, efficiency, and scalability of our distributed parallel update algorithm for an NMTF-based text data co-clustering method.
Real-time water waves with wave particles

This dissertation describes the wave particles technique for simulating water surface waves and two way fluid-object interactions for real-time applications, such as video games. Water exists in various different forms in our environment and it is important to develop necessary technologies to be able to incorporate all these forms in real-time virtual environments. Handling the behavior of large bodies of water, such as an ocean, lake, or pool, has been computationally expensive with traditional techniques even for offline graphics applications, because of the high resolution requirements of these simulations. A significant portion of water behavior for large bodies of water is the surface wave phenomenon. This dissertation discusses how water surface waves can be simulated efficiently and effectively at real-time frame rates using a simple particle system that we call "wave particles. " This approach offers a simple, fast, and unconditionally stable solution to wave simulation. Unlike traditional techniques that try to simulate the water body (or its surface) as a whole with numerical techniques, wave particles merely track the deviations of the surface due to waves forming an analytical solution. This allows simulation of seemingly infinite water surfaces, like an open ocean. Both the theory and implementation of wave particles are discussed in great detail. Two-way interactions of floating objects with water is explained, including generation of waves due to object interaction and proper simulation of the effect of water on the object motion. Timing studies show that the method is scalable, allowing simulation of wave interaction with several hundreds of objects at real-time rates.
Inhibition of Glutamate Release from Rat Cortical Nerve Terminals by Dehydrocorydaline, an Alkaloid from Corydalis yanhusuo

Excessive release of glutamate induces excitotoxicity and causes neuronal damage in several neurodegenerative diseases. Natural products have emerged as potential neuroprotective agents for preventing and treating neurological disorders. Dehydrocorydaline (DHC), an active alkaloid compound isolated from Corydalis yanhusuo, possesses neuroprotective capacity. The present study investigated the effect of DHC on glutamate release using a rat brain cortical synaptosome model. Our results indicate that DHC inhibited 4-aminopyridine (4-AP)-evoked glutamate release and elevated intrasynaptosomal calcium levels. The inhibitory effect of DHC on 4-AP-evoked glutamate release was prevented in the presence of the vesicular transporter inhibitor bafilomycin A1 and the N- and P/Q-type Ca2+ channel blocker ω-conotoxin MVIIC but not the intracellular inhibitor of Ca2+ release dantrolene or the mitochondrial Na+/Ca2+ exchanger inhibitor CGP37157. Moreover, the inhibitory effect of DHC on evoked glutamate release was prevented by the mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) inhibitor PD98059. Western blotting data in synaptosomes also showed that DHC significantly decreased the level of ERK1/2 phosphorylation and synaptic vesicle-associated protein synapsin I, the main presynaptic target of ERK. Together, these results suggest that DHC inhibits presynaptic glutamate release from cerebrocortical synaptosomes by suppressing presynaptic voltage-dependent Ca2+ entry and the MAPK/ERK/synapsin I signaling pathway.
The geography of literacy: Understanding poleward increases in literacy rates

Asian social psychology has often focused on East/West comparisons. However, a latitudinal psychology perspective suggests that cultures will vary in predictable ways along north/south (latitudinal) gradients, rather than along east/west (longitudinal) gradients. We apply this perspective to better understand the geographical placement of literacy rates across the world. We ﬁnd across 206 nations that latitude shows no linear relationship with worldwide literacy rates, but a signiﬁcant curvilinear relationship, such that as one moves north from the equator, higher latitudes are associated with more literacy, whereas this relationship reverses as one moves south from the equator. No such curvilinear relationship consistently emerged for longitude. To better understand the geography of literacy, we included four potential explanatory socioecological variables (pathogens, climate, national tightness, and wealth). These analyses revealed that increases in literacy as one moves towards the North and South Poles was partially accounted for by all four variables, but a larger portion of the variance was due to pathogens. These results suggest that latitude — which, taken on its own, is just a set of abstract lines on a map — can help us organize and understand global literacy.
Takagi–Sugeno Fuzzy Realization of Stability Performance-Based Fault-Tolerant Control for Nonlinear Systems

This article is dedicated to studying realization issues of the stability performance-based nonlinear fault-tolerant control framework via Takagi–Sugeno (T–S)fuzzy models. To this end, the nonlinear fault-tolerant control strategy with an online fault detection system monitoring the system stability performance degradation induced by faults is first introduced by means of the stable image and kernel representations. On this basis, the T–S fuzzy models are applied to approximate the nonlinear system, and a design approach of the fuzzy observer-based controller is proposed for the system stabilization via the iterative linear matrix inequality method. With the controller gains, the fuzzy-model-based nominal stable image representation of the system is formulated, which leads to the generation of the input and output error signals. Then, with the reference signal and system input and output error signal data, a data-driven algorithm is given to online estimate the evaluation function defined in terms of system uncertainties and faults. By virtue of the $L_{2}$ input–output stability of the controller stable kernel representation, a threshold calculation method is presented and, thus, the stability performance-based fault detection system based on fuzzy models is realized. Furthermore, for fault-tolerant purpose, the fault-tolerant controller design is discussed, which aims to retain the system stability. Two examples are provided in the end to illustrate the proposed results.
University students’ experiences and perceptions of interventions for self-harm

ABSTRACT This study sought to understand students’ experiences and perceptions of interventions for self-harm, including what aims of the interventions they felt would be the most beneficial. 25 students with experience of self-harm thoughts/behaviours participated. The data were thematically analysed and three key themes were identified: ‘understanding self-harm’, ‘barriers to seeking support’, and ‘preferences in support’. Given the variation in preferences for support and the barriers faced when seeking it, the importance of providing options was highlighted. Students suggested that focusing on reducing the frequency of self-harm may not be a helpful goal or accurately indicate recovery. They instead emphasised the importance of addressing other factors such as wider mental health and coping ability.
Study for Evaluation of Hydrogels after the Incorporation of Liposomes Embedded with Caffeic Acid

Caffeic acid (CA), a phenolic acid, is a powerful antioxidant with proven effectiveness. CA instability gives it limited use, so encapsulation in polymeric nanomaterials has been used to solve the problem but also to obtain topical hydrogel formulas. Two different formulas of caffeic acid liposomes were incorporated into three different formulas of carbopol-based hydrogels. A Franz diffusion cell system was used to evaluate the release of CA from hydrogels. For the viscoelastic measurements of the hydrogels, the equilibrium flow test was used. The dynamic tests were examined at rest by three oscillating tests: the amplitude test, the frequency test and the flow and recovery test. These carbopol gels have a high elasticity at flow stress even at very low polymer concentrations. In the analysis of the texture, the increase of the polymer concentration from 0.5% to 1% determined a linear increase of the values of the textural parameters for hydrogels. The textural properties of 1% carbopol-based hydrogels were slightly affected by the addition of liposomal vesicle dispersion and the firmness and shear work increased with increasing carbomer concentration.
The Web as an Interface to the Physical World : Real-time Search and Development Support: Real-time Search and Development Support

Connecting our physical world to the Internet is the ambitious vision of the Internet of Things. Embedding sensors and actuators into arbitrary “things” and connecting them to the Internet enables the locationindependent monitoring, controlling, and programming of the physical world on an unprecedented scale, often in real time. Beyond connectivity, the ability of devices to interoperate with other devices and services will be an important requirement in a future Internet of Things – the sheer number and heterogeneity of Internet-connected things renders manual integration infeasible. Based on the existing architecture of the World Wide Web, the socalled Web of Things addresses the challenge of interoperability for Internet-connected things. By leveraging existing Web standards and infrastructure, one can benefit from the many aspects that have already been covered in the Web architecture as well as from the plethora of existing Web services and Web-enabled applications. Exposing physical entities, in particular their sensors and actuators, on the Web in order to provide an interface for retrieving and changing the state of such entities and their environment is a well-known concept. With the increasing amount of Internet-connected devices and the advent of novel standards and services, this concept has recently gained momentum but has also shown the limitations of existing approaches. This thesis addresses this development by providing the following contributions to a future Web of Things: • The development and evaluation of a prototypical real-time search engine for the physical world that is based on the Web architecture. In contrast to traditional Web search engines, a search engine for the physical world has to support searching for structured and rapidly changing, distributed state in real time. The proposed solution is based on an open architecture and requires neither a global view of the world’s state nor a limitation of the search space while still providing accurate results in real time.
Channel Estimation For The Multiuser Multipanel Massive Multiple Input Multiple Output System

By increasing the number of antennas, the size and weight of massive Multiple Input Multiple Output (MIMO) become much larger and heavier, respectively. To deal with these problems, the 3GPP standardization group captured the multipanel in New Radio communications. Channel estimation is needed for accurate uplink signal recovery and downlink precoding of massive MIMO. Due to the use of hybrid structure and the nonuniform distribution of the antenna arrays, the conventional channel estimation methods cannot be used in multipanel massive MIMO. In this paper, we propose the channel estimation for the millimeter-wave multipanel MIMO systems in multiuser environments, in which the channel estimation problem is transformed to an angular domain block sparse signal recovery problem. In the following, we solve the obtained sparse model using the proposed generalized block orthogonal matching pursuit method. Also, the proper pilot sequence is designed in the proposed method. Finally, we check the accuracy of the proposed estimation algorithm, which simulation results show the superior performance of the proposed method compared to that of the classic method.
Application of Genetic Algorithms to the Synthesis of Riser Configurations

The purpose of this work is to describe the application of Genetic Algorithms in the search of the best configuration of catenary riser systems in deep waters. Particularly, an optimization methodology based on genetic algorithms is implemented on a computer program, in order to seek an optimum geometric configuration for a steel catenary riser in a lazy-wave configuration. This problem is characterized by a very large space of possible solutions; the use of traditional methods is an exhaustive work, since there is a large number of variables and parameters that define this type of system. Genetic algorithms are more robust than the more commonly used optimization techniques. They use random choice as a tool to guide a search toward regions of the search space with likely improvements. Some differences such as the coding of the parameter set, the search from a population of points, the use of objective functions and randomized operators are factors that contribute to the robustness of a genetic algorithm and result in advantages over traditional techniques. The implemented methodology has as baseline one or more criteria established by the experience of the offshore engineer. The implementation of an intelligent methodology oriented specifically to the optimization and synthesis of riser configurations will not only facilitate the work of manipulating a huge mass of data, but also assure the best alternative between all the possible ones, searching in a much larger space of possible solutions than classical methods. © 2003 ASME
The challenge of making climate adaptation profitable for farmers: evidence from Sri Lanka's rice sector

Abstract Adapting agricultural systems to changes in seasonal precipitation is critical for the agricultural sector in Sri Lanka. This paper presents evidence on the adoption drivers and the welfare impacts of agricultural strategies adopted by Sri Lankan rice farmers to adapt to low rainfall conditions. We estimate the causal impact of adopting different adaptive strategies across three different dimensions: (a) sensitivity to water stress, (b) household productivity, and (c) household livelihood conditions. The results highlight important trade-offs faced by farmers between reducing vulnerability to water stress and maximizing profitability and welfare outcomes. These findings are important for informing policies to support climate adaptation among smallholders, and to build and improve the climate resilience of Sri Lanka's rice sector.
The Validity of EDUCHE (Education Card Healthy) for Increasing Physical Activity in Adolescents

In general, the physical activity level of adolescents in Indonesia is still below the recommended level of 60 minutes moderate to vigorous intensity physical activity per day. This is concerning because low physical activity is one of the main risk factors for noncommunicable diseases. Therefore, it is important to develop programs to increase the physical activity in adolescents. An educational physical activity program (education card healthy/eduche) has been developed to increase the physical activity of junior high school-students. The purpose of this study was to evaluate the content validity of the program. The content validity was assessed using the Aikens V formula for evaluating five aspects (i.e, layout, illustration, format, content/material, and language) conducted by three experts of physical fitness. A validity coefficient above 0.920 was considered as valid. The validation coefficients for layout, illustration, format, content, and language were 1.000, 0.920, 0.834, 0.920, and 0.920, respectively. The content validity for overall aspect was 0. 920. It can be concluded that, in general, eduche is valid for increasing the physical activity among adolescents with junior high school age. However, the format of eduche needs further improvement before the program implementation.
Use of ProSeal Laringeal Mask Airway Under Bronchoscopy Guidance During Percutaneous Dilatational Tracheostomy

Objective: In the current study, our primary aim is to compare complication rates between using ProSeal laryngeal mask airway (P-LMA) and endotracheal tube (ETT) in bronchoscopy-guided percutaneous dilatational tracheostomy (PDT) procedure. Our secondary aim is to compare the processing time of these two techniques. Methods: Sixty-one adult patients who were intubated in the intensive care unit and scheduled for PDT due to the need for long-term mechanical ventilation were included in the study. The patients were randomly divided into ETT group or P-LMA group under bronchoscopy guidance. Complications related to the procedures and the duration of each procedure were recorded. Hemodynamic measurements, oxygen saturation, arterial blood gas analysis, preferred mechanical ventilation mode, positive end expiratory pressure and mean airway pressure values were recorded before PDT, and 30 minutes after the procedure. Results: A total of 61 cases, 23 (38%) female and 38 (62%) male, participated in the study. Regarding the complication rates between the groups, we encountered more complications in the ETT group and the most common complication was puncture of the cuff of the intubation tube. The procedure time was also significantly shorter in the P-LMA group (P-LMA; 2.5 min, ETT; 3.6 min). Conclusion: Using P-LMA for PDT under bronchoscopy caused lower complication rate than using ETT. In a addition the duration of PDT procedure was shorter in P-LMA group than ETT group. Keywords: Percutaneous dilatational tracheostomy, bronchoscopy, laryngeal mask
Rede Cegonha: maternal characteristics and perinatal outcomes related to prenatal consultations at intermediate risk

Abstract Objective: to analyze the correlation between maternal characteristics and perinatal outcomes, with the number of prenatal consultations performed. Method: a cross-sectional study, carried out with 1,219 mothers and newborns stratified as intermediate risk according to the Programa Rede Mãe Paranaense, adaptation of the Rede Cegonha at the state level. Data were collected from the Birth Certificates. Spearman, Wilcoxon and Kruskal-Wallis tests were used to analyze the correlation between the variables of interest. Results: married women, with higher education, white and aged 30 years or older were the ones who most attended prenatal consultations. With regard to perinatal outcomes, children whose mothers had more frequent prenatal consultations had better Apgar and birth weight scores. High rates of cesarean delivery were identified before the onset of labor. Conclusion: maternal characteristics influence the process of adherence to prenatal care, impacting perinatal outcomes, indicating the relevance of these risk factors and the need to improve actions aimed at greater compliance with risk stratification and qualified and resolute care for pregnant women at intermediate risk.