Miracle-dz/UniFAR-FTUs huggingface dataset:
Practical and Secure SVM Classification for Cloud-Based Remote Clinical Decision Services

Support vector machine (SVM) classification techniques have been widely adopted for building clinical decision models. In cloud-based remote clinical decision services, a healthcare center outsources the clinical decision model to a cloud server, which then provides remote clinical decision services to end users. In this article, we propose a practical and secure SVM classification scheme (<inline-formula><tex-math notation="LaTeX">${\sf SSVMC}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">SSVMC</mml:mi></mml:math><inline-graphic xlink:href="liang-ieq1-3020545.gif"/></alternatives></inline-formula>) for cloud-based remote clinical decision services. Specifically, we first extract SVM decision rules from an SVM classifier. Then, we leverage symmetric key encryption to protect the confidentiality of medical data and prevent the cloud service provider from misusing intellectual property of the outsourced clinical model. Finally, we build encrypted indexes to achieve efficient SVM classification. We define a leakage function, formulate a security definition, and provide a simulation-based security proof for <inline-formula><tex-math notation="LaTeX">${\sf SSVMC}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">SSVMC</mml:mi></mml:math><inline-graphic xlink:href="liang-ieq2-3020545.gif"/></alternatives></inline-formula>. The performance analysis demonstrates that <inline-formula><tex-math notation="LaTeX">${\sf SSVMC}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">SSVMC</mml:mi></mml:math><inline-graphic xlink:href="liang-ieq3-3020545.gif"/></alternatives></inline-formula> achieves linear computational complexity when an SVM classifier (a.k.a., the clinical decision model) is pre-trained. The simulations evaluate the impact of several parameters on time costs. The experimental evaluations show the performance differences between <inline-formula><tex-math notation="LaTeX">${\sf SSVMC}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">SSVMC</mml:mi></mml:math><inline-graphic xlink:href="liang-ieq4-3020545.gif"/></alternatives></inline-formula> and several existing schemes in terms of time costs, storage costs, communication costs, and precisions in a real-world clinical dataset, which demonstrate that <inline-formula><tex-math notation="LaTeX">${\sf SSVMC}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">SSVMC</mml:mi></mml:math><inline-graphic xlink:href="liang-ieq5-3020545.gif"/></alternatives></inline-formula> is computationally efficient with high decision accuracy.
Vascular calcification of chronic kidney disease: A brief review

Vascular calcification (VC) is highly prevalent among patients with chronic kidney disease (CKD). There is growing evidence that there is more underlying this condition than the histological presentation of atherosclerotic plaque and arteriosclerosis and that the risk of cardiovascular disease in the context of CKD might be explained by the presence of VC. While VC has been observed in the absence of overt abnormal mineral metabolism, this association is coupled to abnormal homeostasis of minerals in patients with CKD, due to hyperphosphatemia and hypercalcemia. Furthermore, recent studies have shown that the differentiation of vascular smooth muscle cells into an osteogenic phenotype is highly regulated by pro-calcifying and anti-calcifying factors. There are several imaging modalities currently used in clinical practice to evaluate the extent and severity of VC; each has different advantages and limitations. Although there is no universally accepted method for the treatment of VC, there is growing evidence of the beneficial effects of medical therapy for the condition. This study discusses the mechanism underlying VC, imaging modalities used for evaluation of the condition, and possible treatments.
Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding With Imperfect CSIT

This letter studies the multiple-input single-output (MISO) non-orthogonal multiple-access (NOMA) downlink using regularized zero-forcing (RZF) precoding with imperfect channel state information (CSI). We first propose a new user scheduling scheme based on imperfect CSI and a model to characterize the channel correlation between the weak and strong users. Then we derive an approximate expression of the ergodic sum-rate using large-system random matrix theory. This approximation permits us to derive the optimal power allocation scheme that satisfies the rate requirement of the weak users. Simulation results are presented to confirm the accuracy of the approximation and reveal the relationships between the ergodic sum-rate, the channel correlation, and other system parameters.
The Role of Social Media in Empowering Women Who Have Small Production Projects A Field Study on Poverty Pockets - Mafraq Governorate

The current study aimed at identifying the role of social media in empowering women who have small production projects. The descriptive analytical survey approach was used to suit the study objectives. The sample of the study consisted of (164) women who had small production projects in Al-Mafraq Governorate, who were chosen by purposive and snowball sampling. The results showed that the attitudes of women who have small production projects on social media and their use are high-level, and it was revealed that the role of social media in empowering women who have small productive projects was high socially and economically.It was found that there was a statistically significant effect at the level (0.05) of social media on the social and economic empowerment of women who have small production projects in Al-Mafraq Governorate. Keywords : role, social media, empowering women, small production projects, Al-Mafraq Governorate. DOI: 10.7176/JLPG/98-25 Publication date: June 30th 2020
Effects of natural and artificial barriers on the genetic diversity of game species: a review.

Barriers are various natural or artificial borders that fragment the landscape. They reduce the habitat, block pathways and separate the populations into smaller segments. A natural barrier may be a sierra, a valley, a river, a sea, the distance between optimal habitats etc. Human-related barriers are the roads, fences and cities. The following hypothesis was tested: the barrier-effect’s strength depends on the barrier itself as well as on the size, migratory behavior and other properties of the affected species. This review was written with the focus on the species size, the barrier type and the effect’s strength in the case of multiple species and barriers. The results are mostly in agreement with this hypothesis, but it is revealed that the evaluation is not fully standardized yet. Wright’s Fst value is an exact number, but researchers have handled it differently. In some cases they were more permissive and ascribed less impact (mostly in the case of low Fst values). On the other hand, there are authors who valorized the low Fst values because of the possible cascade effect caused by genetic division and changing behaviour. This review describes the possible effects of barriers, but every species and habitat is unique, therefore the method described should not be regarded as 100% accurate. With this comparing technique the effects may be predicted more precisely prior to carrying out the impact studies, thus the additional costs and the impact on the actual species will be easier to estimate.
PASTAGEM DE CAPIM XARAÉS CONSORCIADA COM ESTILOSANTES CAMPO GRANDE SOB DIFERENTES DOSES DE FÓSFORO

The productivity of tropical pastures is limited by the low natural fertility of the soils, with phosphorus deficiency being the main limiting factor for the establishment of pastures. The objective was to evaluate the effect of increasing doses of phosphorus (P) in the establishment of pastures consortium of Brachiaria brizantha cv. Xaraés with Stylosanthes guianensis cv. Campo Grande, under the chemical-bromatological composition and dry matter yield (RMS). The experimental design was in randomized blocks, with two repetitions, arranged in a 2 x 4 factorial scheme, the factors consisting of two sampling times (February and April) and four doses of P (30, 60, 90 and 120 kg/ha). The Campo Grande style was not established to characterize the consortium, due to lack of adaptation to the soil and climate. It was verified that there was no influence of the interaction of sampling times and P doses in the evaluated variables, however, there was a significant effect of the different sampling times in all variables for Xaraés grass. P doses influenced only the crude protein (PB) content. In this scenario, P doses contributed to increase the PB contents of Xaraés grass, the highest dry matter yield response was observed at the most favorable time for grass growth, since the consortium was not effective in supplying the nitrogen demand for the grass.
Development of spicy flavored virgin coconut oil by incorporating a mixture of spices oleoresins

Lipid oxidation is a major cause of deterioration in the quality of cooking oils. Degradation of unsaturated fatty acids in oils directly leads to changes in nutritional value, flavor, and storage properties. Oleoresins of ginger, garlic, nutmeg, pepper, cloves, and cinnamon were extracted and incorporated into virgin coconut oil (VCO) to overcome adverse effects of lipid oxidation and changes occurrence on physicochemical properties, thermal stability, shelf life, antioxidant activity, total phenolics and sensory evaluation were conducted against same properties of VCO. Lipid oxidation was assessed in terms of free fatty acid (FFA) value and peroxide value (PV). For the comparison purpose, another oil sample was prepared by incorporating vitamin E too. Results revealed that both PV and FFA of VCO and spicy flavored oil (SFO) samples after one-week storage period were 1.93 ± 0.01 and 1.62 ± 0.02 mEq/kg and 0.36 ± 0.01 and 0.24 ± 0.01 (%) respectively. Saponification value (SV), iodine value (IV), smoke point, flashpoint, viscosity, and the specific gravity of SFO were increased and there was no significant difference in moisture content and insoluble impurities in SFO and VCO. The highest phenolic content and DPPH free radical scavenging activity were found in SFO. The thermal stability of SFO was better than VCO. Both oleoresins and vitamin E incorporated samples showed the same pattern of increment of FFA and PV during storage; however, those increments were slower than VCO. SFO was highly accepted by the sensory panelists in terms of color, aroma, taste, texture, and overall acceptability.
Small bowel perforation following blunt abdominal trauma caused by an accidental hammer blow: A case report

Abdominal injuries caused by blunt trauma are in the 3rd place, right after head and chest traumas, blunt abdominal traumas (BAT) being the leading cause of mortality and morbidity in all age groups. Isolated injuries of the small intestine and mesentery, as a part of BATs, are rare and occur in about 1–5% of cases, and high morbidity and mortality is often due to late diagnosis [1, 2]. Intestinal injuries in BAT may be caused by various forms of blunt traumas, but the main causes of BAT are direct traumas, motor vehicle accidents, and falls from height [3]. The authors present a case of a 58-year-old male with traumatic jejunal perforation caused by an accidental hammer blow to the abdomen. Case Report
Achieving Low-Latency Human-to-Machine (H2M) Applications: An Understanding of H2M Traffic for AI-Facilitated Bandwidth Allocation

Human-controlled and haptic feedback data in emerging Tactile Internet human-to-machine (H2M) applications require stringent low-latency transmission. Understanding the traffic features of the new applications is vital in innovating network control and resource allocation strategies to meet their latency demand. In this article, we present our experimental study on human control and haptic feedback traffic in H2M applications and investigate novel bandwidth allocation schemes in supporting converged H2M application delivery over access networks. We introduce our haptic experiment system, the developed H2M applications, and analyze the control and feedback traffic traces collected. Then, exploiting the correlation between real-time control and feedback reported in our analysis, we propose an artificial intelligence-facilitated low-latency bandwidth allocation (ALL) scheme for emerging H2M applications. ALL provisions priority-differentiated bandwidth allocation for aggregated H2M and conventional content-centric applications over future access networks. By using ALL, the central office preallocates bandwidth for control and its corresponding feedback traffic interactively and prioritizes their transmission over content traffic. This expedites H2M application delivery by eliminating the report-then-grant process in the existing bandwidth allocation schemes. Via extensive simulations injected with experimental traffic traces, we comprehensively investigate the latency performance of ALL and existing schemes. Our results validate the superior capability of ALL in reducing and constraining latency for H2M applications.
Analysing Maximum Monthly Temperatures in South Africa for 45 years Using Functional Data Analysis

The paper uses Functional Data Analysis (FDA) to explore space and time variation of monthly maximum temperature data of 16 locations in South Africa for the period 1965 - 2010 at intervals of 5 years. We explore monthly maximum temperature variation by first representing data using the B-spline basis functions. Thereafter registration of the smooth temperature curves was performed. This data was then subjected to analysis using phase-plane plots which revealed the constant shifting of energy over the years analysed. We next applied functional Principal Component Analysis (fPCA) to reduce the dimension of maximum temperature curves by identifying the maximum variation without loss of relevant information, which revealed that the first functional PCA explains mostly summer variation while the second functional PCA explains winter variation. We next explored the functional data using functional clustering using K-means to reveal the spatial location of maximum temperature clusters across the country, which revealed that maximum temperature clusters were not consistent over the 45 years of data analysed, and that the cluster points within a cluster were not necessarily always spatially adjacent. The overall analysis has displayed that maximum temperature clusters have not been static across the country over time. To the best of our knowledge, this the first instance of performing in-depth analysis of maximum temperature data for 16 locations in South Africa using various FDA methods.
Modeling and Analysis of Bridge-Leg Crosstalk of GaN HEMT Considering Nonlinear Junction Capacitances

Gallium nitride high electron mobility transistor (GaN HEMT) has fast switching speed and low threshold voltage, which could result in a severe false triggering voltage pulse at the synchronous freewheeling transistor in bridge-leg circuit when the control transistor turns on. To suppress the crosstalk phenomenon, this article proposes an analytical model about the crosstalk voltage, with consideration of nonlinearities in capacitance–voltage (C–V) of GaN HEMT. By utilizing the equivalent circuit of control transistor and synchronous freewheeling transistor, the number of analytical model parameters to be extracted can be reduced significantly. Besides, the nonlinear characteristic of junction capacitances is taken into account in the model, and the accuracy is verified by the current–voltage (I–V) curve of capacitances. Based on the model, an exhaustive investigation into the impact of device and circuit parameters on the crosstalk phenomenon is conducted. Further, for the purpose of evaluating the oscillation of crosstalk voltage, the damping ratio and oscillation frequency are acquired. The proposed model can be applied to guiding GaN device selection and printed circuit board (PCB) circuit design. The effectiveness and superiority of the proposed model are verified with simulations and experiments on a double pulse test platform.
A Review on Flexible Robotic Systems for Minimally Invasive Surgery

Recently, flexible robotic systems are developed to enhance minimally invasive interventions on internal organs located in confined areas of human body. These surgical devices are designed to navigate anatomical pathways via single-port access, such as natural orifices or minimal incisions and intraluminal interventions. With improved precision, spatial flexibility and dexterity, the robotic technology can enhance surgery such that minimally invasive flexible access would become a faster, safer, and more convenient method for intra-body interventions without multiple or wide incisions. However, a lot of works are still required for global acceptance of existing flexible robotic surgical platforms. This review provides extended insights on the design details of two types of flexible robotic systems used for endoscopic and endovascular procedures. As of today, several prototypes of both platforms have been proposed; however, their global acceptability and applicability remains very low. To address these, we present an extensive review on design constraints and control methods which are vital for safer, faster, and better operation of the flexible robotic systems in minimally invasive surgery (MIS). Finally, research trends of flexible robotic systems and their clinical application status in MIS are discussed along with some of the technical and technological challenges hindering their prominence.
Effect of Molded Lumbosacral Orthosis on Postural Sway and Pain in Subjects with Chronic Non-Specific Low Back Pain: A Prospective Study

Study design: Prospective pre-post quasi experimental study design (Level of Evidence-IV). Objectives: Objective was to find the effectiveness of Molded LSO on postural sway and Pain in subject with NSCLBP. Background of the data: In orthotic treatment molded Lumbosecral orthosis (LSO) application is still controversial topic in Non-specific Chronic Low Back Pain (NSCLBP). Many studies are concentrated upon postural balance and pain with Spinal orthosis in NSCLBP have significant interrelationship but spinal orthosis with postural balance improvement have no strong evidence but this is an attempt to check the effect on COP and Pain using orthosis. This study will stabilized a clinical report on NSCLBP in terms with COP-sway and Pain in Indian scenario. Materials and methods: 30 subjects with NSCLBP were included in this study by convenient sampling method. The Postural sway parameters (COP, RMS & Range) in mediolateral (Ax) and anterio-posterior (Ay) direction measured using Kistler force plate in Eye open (EO) and Eye Close (EC) condition and pain using VAS. All the measurements was acquired as baseline (pre) with and without molded LSO, and after (Post) 4 weeks following onset of Molded LSO use. Results: There was significant difference between pre and post with & without Molded LSO postural sway in mediolateral (Ax) and anterio-posterior (Ay) of COP in both EO and EC condition, (p≤0.05). RMS was in without brace EC and EO and with brace EO in Ay and was in Ax, EO without brace and EC and EO with brace (p ≤ 0.05). Range in Ay EO without brace, and in with brace EO were Ax in EO with brace (p ≤ 0.05). VAS score mean differences were decreased in without and with braces but statistically not significant within groups. Conclusion: As per present perspective clinical evident report it going to conclude that molded Lumbosacral Orthosis have a significance impact on positive influences for reducing postural sway and pain in short term orthotic treatment protocol. It have positive impact on static postural balance and pain with saliently maintaining the lower COG alignment and unloading lumbar spine by using molded Lumbosacral Orthosis in subjects. One center prospective short term clinical report cannot indiscriminate the positive impact of molded Lumbosacral Orthosis in NSCLBP. So the molded Lumbosacral Orthosis can be recommended as a RCT study on this prospect for short term use orthotic plan in NSCLBP.
Generalidades del cultivo de garbanzo y alternativa biológica para el control de la Marchitez

The chickpea ( Cicer arietinum L.), is one of the main sources of human and animal food and is placed on the list of the most cultivated legumes in the world, after soybeans ( Glycine max ), beans ( Vicia faba) , beans ( Phaseolus vulgaris ) and peas or pea ( Pisum sativum ). Among the biotic factors that limit a high production of chickpea, are the diseases produced by different pathogenic microorganisms of the soil. The Withering or Fusariosis, the causative agent Fusarium spp. , Is the most important disease of the chickpea crop, it negatively affects the components of the yield and grain quality. This disease occurs ascending and descending according to the species, sick plants abort their flowers and the few grains that manage to form are of smaller caliber. To control this disease, agro-technical, chemical and biological estrategies are used, the latter being very effective from the economic, social and environmental point of view. The biological fight with products based on Trichoderma strains has had a favorable acceptance, and generalized in Cuban agriculture, for showing several mechanisms of action with direct and indirect effects in the reduction of phytopathogenic microorganisms. In this sense, the Wilt is a disease of difficult control, so knowing about the biology of the pathogen and its interaction with the host are important aspects to establish a more efficient control.
Inducción de señales en la interacción Mesorhizobium cicerii - Cicer arietinum L.

Chickpea is a grain legume of exceptionally high nutritive value and most versatile food used. It is mostly grown under rainfed conditions in arid and semi-arid areas around the world. Chickpea is the third most cultivated grain legume in the world. Like most legumes, it is associated in symbiosis with bacteria from the rhizobia family, which guarantee much of the nitrogen it needs for its growth and development. In early stages of the symbiosis, a complex molecular dialogue takes place, involving Nod factors synthesized by the bacterium and flavonoids released by legume roots, so that both partners can recognize each other and initiate nodulation. This work aimed to evaluate the production of the induced signals in Mesorhizobium cicerii strain and the impact of that induction on chickpea nodulation and yield. The lipid fraction in the inocula was extracted with n-butanol and analyzed by high performance liquid chromatography and gas chromatography coupled to a mass spectrometer. A higher amount of lipochitooligosaccharides (nodulation factors) and high molecular weight fatty acids were detected in daidzein-induced inocula. Similarly, the inoculums induced with this flavonoid showed a positive effect on nodulation and yield of chickpea in semicontrolled and field conditions, respectively.