Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Using an Exercise-Nutrition Program on Some Physiological Variables on Diabetes Patients

The tremendous and astonishing technological progress in the modern era in all different fields has led to a lack of human mobility and thus a lack of physical and physiological competence, which made him vulnerable to many diseases called hypokinetic diseases such as cardiovascular disease, obesity, lower back pain, diabetes, and high blood pressure. The Study Problem: Diabetes is one of the most common and widespread diseases today, and failure to control this disease will lead to many complications, including cardiovascular disease, high-fat content, in addition to limb muscle atrophy, high blood pressure and peripheral nerve inflammation, which sometimes leads to leg amputation. The cause of death and this is the source of the problem. The Study Objectives: Knowing the blood sugar level of non-athletic patients aged 40-55 years before the program. Designing an athletic program for diabetics aged 40-55 years who are nonathletes for the research group. To know the effect of the program on blood sugar, HDL cholesterol, and PCV blood viscosity for the research group. Identify the effect of the program on the nerve signals received from the upper and lower extremities of the research group. The study community the human field: people with diabetes who are 40-55 years old who are not athletes. from 1/3/2020 to 1/7/2020. Hospitals and specialized centers for treating this disease and the Physiotherapy Center for Sports Medicine in Egypt. Results: the values of the blood sugar test indicate the significance of the differences between the pre-and post-tests and in favor of the post-test, considering that the drop in blood sugar level is a positive case. blood HDL ratio test indicates the significance of the differences between the pre-and post-tests and in favor of the post-test, considering that the drop in blood sugar level is a positive case. blood HDL ratio test considering the high level of HDL cholesterol is a positive case. Conclusions: 1-The diet and exercise program has a positive effect on low blood sugar levels. 2-The sports and nutritional program have a positive effect on the level of high-density lipoprotein (HDL) cholesterol in the blood. 3-The sports and nutritional program have a positive effect on blood viscosity (PCV). 4-The sports and nutritional program have a positive effect on the nerve signals coming from the upper and lower extremities.
Antioxidative Potential and Phytochemical Content of Detox Water

Detox water is a fusion of different fruits immersed in water. It has been shown to possess many health benefits including toxin removal, increased immune function, weight loss and hydration. The following research aimed to extend previous investigation into the beneficial properties of detox water by determining the antioxidant potential and phytochemical content of water infused with a combination of Valencia orange (Citrus sinensis) and Fuji apple (Malus domestica) in different ratios. The three trails studied were 25:75 (T1), 50:50 (T2) and 75:25 (T3) Apple: Orange ratios. The antioxidant activity, total phenolic content (TPC) and total flavonoid content (TFC) were assayed using the 1, 1-diphenyl-2picrylhydrazylDPPH assay, the Folin Ciocalteu assay and the aluminum chloride colorimetric assay respectively. The assays were carried out on water samples taken at 0.5, 1,2,4,6 and 8 hours after infusion, and on the fruit residue. Vitamin C concentration of the water and fruit residue were determined by titration against potassium iodide at the eighthour of infusion. The antioxidant, TPC and TFC values of water samples increased with infusion time. At the eight-hour, the antioxidant potential of the water samples ranged from 74.45% (T1) 68.16% (T3). The TPC, TFC and Vitamin C values for all three trails were found to be significantly different (p<0.05), with TPC values of 189.01 μg GAE/ml sample (T1), 172.10 μg GAE/ml sample (T2) and 144.82 μg GAE/ml sample (T3); TFC values were 32.11 μg QE/ml sample (T1), 25.24 μg QE/ml sample (T2) and 17.62 μg QE/ml sample (T3). Vitamin C values were 237.76 μg vitamin C/ml sample (T1), 161.44 μg vitamin C/ml sample (T2) and 114.48 μg vitamin C/ml sample (T3). The fruit residues possessed very low antioxidant potential and phytochemical content. The study has proven that detox water possesses beneficial properties due to its high phytochemical content.
Nanotechnology based ocular drug delivery system : A Review

The term nanotechnology has been most commonly used in many fields of science. Nanotechnology has shown tremendous progress in these fields. Similarly, various nonmaterial, such as Nanoparticles, nanostructures, nanotubes and nanowires, synthesized by different approaches like physical, chemical and biological were also found to have enormous application in biomedical and pharmaceutical fields.Nanotechnology has provided the possibility of delivering drugs to specific cells using Nanoparticles.Nanosystems are an emerging part for this strategy.The present article focus the advantages of Nanotechnology in Occular drug delivery System. Key Word :Nanotubes,Nanogel,Nanoparticles, liposomes, aqueous humor
The growth and yield response of Pui (Basella alba) at different lavels of Nickel under various moisture conditions

A pot experiment was conducted at the Dept. of Soil, Water and Environment, University of Dhaka, Bangladesh to examine the effects of Ni on growth and yield of Pui (Basella alba) under 40%, 70% and 100% field capacity (F.C.) moisture content of soil. The soil collected from Bhaluka, Mymensingh (Chandra series), had the following general characteristics; pH 6.0, Electrical Conductivity (E.C.) 134μS cm, organic matter 2.20%, organic carbon 1.27%, total N, P, K 0.024%, 0.07% and 0.05% respectively. The total Ni concentration was 20 ppm and the texture was silty loam. Three Ni levels were maintained by treating the experimental soils with 0, 50 and 100 mg Ni/kg soil. Roots and shoots of pui were collected after 45 days of sowing. A significant impact of nickel was observed on growth and yield of pui at various moisture content of soil. The concentration of nickel increased with increasing nickel treatment in pui roots and shoots.The length of roots and shoots, the fresh and dry matter production decreased with increasing nickel levels for pui. The results showed that nickel influenced the growth and yield of pui at various moisture conditions.
Comparisionofinterior-Point Methods Versus Simplex Algorithms

: During the last twenty years, there has been a revolution in the methods used to solve optimization problems. In the early 1980s, sequential quadratic programming and augmented Lagrangian methods were favoured for nonlinear problems, while the simplex method was unchallenged for linear programming. Since then, modern interior-point methods (IPMs) have infused virtually every area of continuous optimization, and have forced great improvements in the earlier methods. This paper aims to describe interior-point methods and their application to convex programming, special conic programming problems (including linear and semi-definite programming), and general possibly non-convex programming.
A Review on “Production of Furfural from Biomass”

In the current search for renewable energy sources, residual biomass has been highlighted as a potential source of chemical compounds that are currently obtained from petroleum. Among the derivatives obtained from this furfural is considered key part in this process as they are key compounds in the fine chemical industry. This study aims use of the pinewood and corncorb for the synthesis of furfural. The physical pre-treatment of biomass can be carried out followed by acid hydrolysis. For the synthesis of the furanic compounds, different concentration of Dilute Acid can be used. The products obtained in each step can be analyzed by GC MS. The best yield of product can be obtained in case of corbcorb for specific concentration of dilute acid. [1], [2], [24], [29]
FishSense: Underwater RGBD Imaging for Fish Measurement

There is a need for reliable underwater fish monitoring systems that can provide oceanographers and researchers with valuable data about life underwater. Most current methods rely heavily on human observation which is both error prone and costly. FishSense provides a solution that accelerates the use of depth cameras underwater, opening the door to 3D underwater imaging that is fast, accurate, cost effective, and energy efficient. FishSense is a sleek handheld underwater imaging device that captures both depth and color images. This data has been used to calculate the length of fish, which can be used to derive biomass and health. The FishSense platform has been tested through two separate deployments. The first deployment imaged a toy fish of known length and volume within a controlled testing pool. The second deployment was conducted within an 70,000 gallon aquarium tank with multiple species of fish. A Receiver Operating Characteristic (ROC) curve has been computed based on the detector’s performance across all images, and the mean and standard deviation of the length measurements of the detections has been computed.
Synthesis of Ethylenediaminetetraacetic Acid-Functionalized Chitosan Cryogels as Potential Sorbents of Heavy Metal Ions

An original functionalization strategy is proposed here to design chitosan (CS)-based cryogels with ethylenediaminetetraacetic acid (EDTA) moieties. Cryogels with aligned micro-sized tubular structures were further engineered through an unidirectional freezing approach. Attachment of EDTA groups onto CS chains was proved by 1H-RMN and FT-IR spectroscopy. The formation of EDTA-functionalized 3D porous CS-based cryogels was demonstrated by several methods of characterization (FTIR spectroscopy, optical microscopy, SEM, porosity measurements, swelling behavior, copper (II) retention capacity). The sorption tests pointed out the high potential of EDTA-functionalized CS-based cryogels for heavy metal ions retention.
Protein Composition: Translating Amino Acid Sequences into Music

The musical translation of proteins is an emerging field of research dedicated to increasing our current understanding of protein structure and disease states. Various methods have been developed to represent proteins in a way that is both musically pleasing and scientifically accurate. These endeavors have the incidental benefit of broadening the accessibility of science to a wider audience, including young children and those who are visually impaired. Multimodal learning has recently gained favor among academics and provides an immersive, interactive environment in which students can learn. Here, transmembrane channel-like protein 1 (TMC1) is translated into a musical composition utilizing a variation of a method previously published in 2007. TMC1 plays an integral role in the mammalian hearing process and is therefore a fitting choice for musical translation. Additional analysis of TMC1 structure using musical conversion may further advance our understanding of the role of TMC1 in the hearing process.
Growth and Survival of Satellite Glial Cells in Different Culture Supplementations

Background: In dorsal root ganglion (DRG), satellite glial cells (SGCs) tightly surrounded neurons and modulated microenvironment and sensory transmission. However, the biological properties of primary SGCs in culture were not fully understood. In the present study, we provided a method to harvest abundant and high-purity SGCs from neonatal rats. Three supplementations containing Dulbecco’s Modified Eagle Medium (DMEM)/F12, DMEM high glucose (HG) and Neurobasal-A (NB) were used to evaluate SGCs growth and survival in culture. Results: CCK-8 proliferation assay showed the increased proliferation in DMEM/F12 and DMEM/HG, but not in NB medium. NB medium caused cell death indicated by Bax, AnnexinV and PI staining. Glutamine was the major nutrition source for SGCs in culture and its exogenous application improved the poor proliferation and severe cell death in NB medium. SGCs markers GS and GFAP were similar in three supplementations and intensively expressed in culture. Differently, GS but not GFAP was remarkable in the intact DRG under normal condition. Conclusions: These results suggested that SGCs growth in culture depended on time and culture supplementation and DMEM/F12 medium was recommended to get high-purity SGCs. Glutamine was the major nutrition and the key molecule to maintain cell growth and survival in culture. Our study shed a new light on understanding the biological property and modulation of glial cells in the peripheral sensory ganglia.
Homeorhesis during Lactation Period in Dairy Cow and Buffaloes

Homeorhesis is the second type of control in partitioning nutrients. We define homeorhesis as the orchestrated or coordinated changes in metabolism of body tissues necessary to support a physiological state, or Orchestrated changes for the priorities of a physiological state, /. 'e coordination of metabolism in various tissues to support a physiological state. The Greek derivation of homeorhesis is "uniform-flow "[2] . Hence, this is consistent with our definition, since homeorhetic regulation involves a coordination of metabolism to insure a uniform flow of nutrients in support of a physiological state. An alternative word that would be equally appropriate is the term "teleorhesis" [3] . The Perhaps the most pronounced example of homeorhesis would be in a dairy cow where initiation of lactation dramatically alters metabolism of many maternal organs in order that the mammary gland be supplied with nutrients necessary for synthesis of milk [1] . Homeorhesis as the "tendency to home on to a direction or pathway of change" (i.e., partitioning of nutrients to muscle during physiological state of growth), whereas homeostasis was defined as maintenance of equilibrium within a physiological state (i.e., thermoregulation of intake).
Correlating the magic numbers of inorganic nanomolecular assemblies with a fPd84g molecular-ring

Molecular self-assembly has often been suggested as the ultimate route for the bottom-up construction of building blocks atom-byatom for functional nanotechnology, yet structural design or prediction of nanomolecular assemblies is still far from reach. Whereas nature uses complex machinery such as the ribosome, chemists use painstakingly engineered step-by-step approaches to build complex molecules but the size and complexity of such molecules, not to mention the accessible yields, can be limited. Herein we present the discovery of a palladium oxometalate fPd84g-ring cluster 3.3 nm in diameter; 1⁄2Pd84O42ðOAcÞ28ðPO4Þ42 70− (fPd84g ≡ fPd12g7) that is formed in water just by mixing two reagents at room temperature, giving crystals of the compound in just a few days. The structure of the fPd84g-ring has sevenfold symmetry, comprises 196 building blocks, and we also show, using mass spectrometry, that a large library of other related nanostructures is present in solution. Finally, by analysis of the symmetry and the building block library that construct the fPd84g we show that the correlation of the symmetry, subunit number, and overall cluster nuclearity can be used as a “Rosetta Stone” to rationalize the “magic numbers” defining a number of other systems. This is because the discovery of fPd84g allows the relationship between seemingly unrelated families of molecular inorganic nanosystems to be decoded from the overall cluster magic-number nuclearity, to the symmetry and building blocks that define such structures allowing the prediction of other members of these nanocluster families.
Inﬁnite-Dimensional Game Optimization via Variational Transport

Game optimization has been extensively studied when decision variables lie in a ﬁnite-dimensional space, of which solutions correspond to pure strategies at the Nash equilibrium (NE) and the gradient descent-ascent (GDA) method works widely in practice. In this paper, we consider inﬁnite-dimensional games by a zero-sum distributional optimization problem over a space of probability measures deﬁned on a continuous variable set, which is inspired by ﬁnding a mixed NE for ﬁnite-dimensional games. We then aim to answer a natural question: Will GDA-type algorithms still be provably efﬁcient when extended to inﬁnite-dimensional games? To answer this question, we propose a particle-based variational transport algorithm based on GDA in the functional space. Speciﬁcally, the algorithm performs multi-step functional gradient descent-ascent in the Wasserstein space via alternately pushing two sets of particles in the variable space. By characterizing the gradient estimation error from variational form maximization and the convergence behavior of each player with different objective landscapes, we prove rigorously that the generalized GDA algorithm converges to the NE or the value of the game efﬁciently for a class of games under the Polyak-Łojasiewicz (PL) condition. To the best of our knowledge, we provide the ﬁrst statistical and convergence guarantees for solving an inﬁnite-dimensional zero-sum game via a provably efﬁcient particle-based method under mild conditions. Additionally, our work provides the ﬁrst thorough statistical analysis for the particle-based algorithm to learn an objective functional with a variational form using universal
Degree of Conversion of Two Universal Adhesives Incorporated with Ascorbic Acid Coated Superparamagnetic Nanoparticles Assessed by FTIR Analysis

Aims: To prepare and characterize a nano-ferro fluid of ascorbic acid coated superparamagnetic Fe3O4 nanoparticles and incorporate them into two universal dental adhesives to test their effect on the immediate and 24-hours post-cure Degree of Conversion (DC) in comparison to their control nonincorporated adhesives. Study design: An invitro study. Methods and Material: A colloidal nano ferro fluid of ascorbic acid coated superparamagnetic nanoparticles was prepared and characterized by transmission electron microscopy and incorporated into two universal adhesives. Thirty-two adhesive samples in Potassium Bromide (KBr) discs were prepared for FTIR analysis, and distributed as following, i.e., GI: Eight adhesive samples of non-incorporated All Bond Universal (Control), GII: Eight adhesive samples of 2%-incorporated All Bond Universal, GIII: Eight adhesive samples of non-incorporated Prime&Bond Universal (Control), GIV: Eight adhesive samples of 2%-incorporated Prime&Bond Universal. Equal amount (25μL) of each adhesive was placed on KBr disc, the solvents was evaporated by a gentle steam of air, and then a second KBr disc was mounted over the first one and pressed softly to form a thin adhesive film. Finally, the KBr discs containing the adhesive were placed in the demountable cell holder and mounted into the sample chamber of the FTIR spectrometer. FTIR spectra was then recorded for each adhesive before, immediately after, and 24-hours postcuring to calculate the degree of conversion. Statistical analysis used: Statistical analysis was conducted using independent variable t-test by the IBM-SPSS software version 22. Results: The study results showed good DC values for the incorporated adhesives with no statistically significant differences in the degree of conversion values (i.e. Immediate and 24-hours post-cure) in comparison to control groups for both adhesives. The Prmie&Bond universal (Both control and incorporated) revealed significantly higher DC than All bond universal. Conclusions: Incorporation of ascorbic acid coated Fe3O4 nanoparticles at 2% by mass into the universal adhesives resulted in good degree of polymerization with no significant difference in comparison to their commercial controls.
Poster: AutoPCD: Learning-Augmented Indoor Point Cloud Completion

3D Point Cloud (PCD) is an efficient machine representation for surrounding environments and has been used in many applications. But a fast reconstruction of complete PCD for large environments remains a challenge. We propose AutoPCD , a machine-learning model that reconstructs complete PCDs, under sensor occlusion and poor lighting conditions. AutoPCD splits the PCD into multiple parts, approximates them by several 3D planes
Evaluation of Yield Performance and Molecular Diversity in F2 Population of Soybean, Glycine Max, (L.) Merrill Genotypes

This study was carried out on the evaluation of yield performance and molecular diversity in F2 population of soybean genotypes using SNP markers. The aim of the study was to assess the growth performance of the F2 soybean population and to also assess the genetic diversity among the soybean genotypes based on SNP markers with a view of devising a breeding strategy for selection for further improvement. The field experiment was laid out in a randomized complete block design with three replications. The result showed that mean square due to genotypes were highly significant for all the characters except number of branches per plant. Genotypes and year of planting interacted significantly (P≤0.05 and P≤0.01) for plant height at flowering, plant height at harvesting, number of pods, total pod weight and seed yield. The genotypes recorded higher mean values of all the characters in the second year than the first year indicating that variation in environmental conditions influenced the performance of the genotypes. At the molecular level, SNP markers were used to assess the extent of polymorphism among the F2 populations and the markers showed remarkable genetic diversity among the soybean genotypes.
Snapshot of Energy Optimization Techniques to Leverage Life of Wireless Sensor Network

Energy Optimization in Wireless Sensor Network (WSN) deals with the techniques which targets higher degree of energy efficiency using resource-constraint sensor nodes with minimal inclusion of any different variants of resources. At present, there are various approaches and techniques towards addressing the problems of energy but not all the research implications can be considered as optimized approach. Therefore, this paper reviews all the existing energy optimization schemes, categorizes them, briefly discuss about their strength and weakness to offer a compact snapshot of existing energy optimization techniques in WSN. The paper also contributes towards exploring the updates research trends and highlights about the open-end research problems in WSN. It is anticipated that the study findings of this manuscript will offer a true picture of study effectiveness in dealing with energy challenges so that favorable direction of investigation towards evolving up optimized solution comes up with promising outcome. Keywords—Battery; energy efficiency; energy optimization; network lifetime; sensor node; wireless sensor network
Lip language identification via Wavelet entropy and K-nearest neighbor algorithm

INTRODUCTION: Image processing technology is widely used in lip recognition, which can automatically detect and analyse the unstable shape of human lips. OBJECTIVES: In this paper, we propose a new algorithm using Wavelet entropy (WE) and K-nearest neighbor (KNN) improves the accuracy of lip recognition. METHODS: At present, the two most commonly used technologies are wavelet transform and KK-nearest neighbor algorithm. Wavelet transform is a set of image descriptors, and the KK-nearest neighbor algorithm has high accuracy. After a large number of experiments, we propose a lip recognition method based on Wavelet entropy and KK-nearest neighbor, which combines Wavelet entropy, KK-nearest neighbor and K-fold cross validation. RESULTS: This method reduces the calculation time and improves the training speed. The best result of the experiment improves the accuracy to 80.08%. CONCLUSION: Therefore, our algorithm is superior to other state-of-the-art approaches of lip recognition.