Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of the Ordered Structure in Conjugated-Coil Diblock Copolymers Films from a Thickness Gradient Prepared by Spin-Coated Drop Technique

Investigating the thickness dependence of ordered structure of thin films of electrically conducting conjugated polymers with nano-ordered morphologies is essential for optimizing their applications in advanced electrooptic devices. We demonstrate here that by spin-coating a small drop of a conjugated-coil diblock copolymer, a thickness gradient varying between tens of nanometers to a few micrometers is formed at the drop rim. Compared to other widely used solution casting methods for the preparation of thickness gradients, the spin-coated drop technique produces film gradients with thickness in the interesting range for most applications in an extremely short preparation time. Using a submicrometer-sized X-ray beam and a scanning technique, spatial mappings of the gradient area are obtained with submicrometer grazing incidence small-angle X-ray scattering (sub-μGISAXS) for the first time. Investigating the thickness gradient with sub-μGISAXS has the advantage of saving the preparations and investigations of many samples each with a certain thickness under identical conditions. As a model system, we use the diblock copolymer polystyrene-block-poly(p-phenylene) with a thickness gradient ranging between 80 and 2280 nm. Detailed analysis of the scattering patterns at selected positions along the gradient identifies a regime of lateral order within a thickness range of 80―210 nm.
Systemic arterial hypertension: treatment with Integrative and Complementary Health Practices

Systemic Arterial Hypertension (SAH) can generate complications such as stroke, myocardial infarction, kidney disease, arteriosclerosis, loss of vision, erectile dysfunction and cognitive dysfunction. Among people who know they suffer from hypertension, 50% use medication and of those only 45% have their blood pressure kept under control. SAH is a multifactorial clinical condition characterized by elevated and sustained blood pressure levels (BP, where systolic BP ≥ 140 mmHg and diastolic BP ≥ 90 mmHg). Faced with sparse investigative studies on the causes of SAH in individuals, the dictates of the pharmaceutical industry and the use of in vitro or inconclusive clinical studies, this paper presents the state of the art about the treatment of SAH based on a multifaceted view, including aspects about the physiology of SAH, food and PANC as alternatives for the prevention and control of SAH, as well as an approach on the importance of scientific rigor in the manufacture of medicines.
The expansion of the carbon-carbon bond length in potassium graphites

Studies of the x-ray diffraction pattern from different potassium graphites have shown that intercalation of graphite by potassium is accompanied by an expansion of the carbon layers. This expansion is uniform within a single layer and is constant for all n carbon layers separating successive intercalate layers in the stage n compound of composition C12nK (n > 1). Preferred values of the C-C bond length for stages 1 to 6, derived from the value of the a-axis parameter extrapolated to ? = 90? are: Stage 1 1? 43204 (3) ? 2 1? 42592 (3) 3 1? 4240 (1) Stage 4 1? 42305 (7) ? 5 1? 42267 (6) 6 1? 4221 (1). Lower accuracy in stages 3 and 6 is due to slight variation between samples, attributed to deviations from the ideal stoichiometry. Before intercalation, the C-C bond length of the pyrolytic graphite was 1? 42114 (3) ? The bond-length expansion is consistent with electron transfer from potassium to the antibonding orbitals in the upper ? band of the graphitic region between successive intercalate layers. The discontinuous change of bond length with stage can be approximately represented by the relation: C-C (stagen) = (1? 4203+0? 0113/n)?
Ameliorating Effect of Pistachio Hydroalcoholic Extract on Cisplatin-Induced Nephrotoxicity in Mice

Background and objectives: Cisplatin-induced nephrotoxicity accompanies increased oxidative stress, leading eventually to kidney dysfunction. On the other hand, Pistacia vera nuts (pistachio) display multiple pharmacological effects such as antioxidant property. The present study investigated the effects of pistachio hydroalcoholic extract on nephrotoxicity induced by cisplatin in mice. Methods: Pistachios (100 g) were powdered and macerated in 1 L of ethanol (80%) for 72 h Then, dried with rotary evaporator apparatus. Forty male mice were divided into five groups: normal, cisplatin, cisplatin+DMSO, cisplatin+ pistachio hydroalcoholic extract 10, and cisplatin+ pistachio hydroalcoholic extract 100. Nephrotoxicity was induced by intraperitoneal injection of cisplatin (20 mg/kg/day) on the first day of the experiment. Pistachio hydroalcoholic extract (10 and 100 mg/kg/p.o) was administered for four consecutive days. The body weight and kidney function indices such as serum creatinine (Cr) and blood urine nitrogen (BUN) were measured. Also, the renal tissues were assessed for levels of malondialdehyde (MDA), catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPx). Results: Cisplatin reduced animals’ body weight. Also, cisplatin increased levels of Cr, BUN, and MDA, and decreased the activities of SOD, CAT, and GPx. Treatment with pistachio hydroalcoholic extract (100 mg/kg) reduced the levels of serum Cr, BUN, as well as renal MDA. Moreover, administration of 100 mg/kg pistachio hydroalcoholic extract to cisplatin-treated mice increased the body weight as well as CAT, GPx, and SOD activities. Conclusion: These results imply that pistachio hydroalcoholic extract treatment may diminish cisplatin-induced renal dysfunction through reduction of oxidative stress in the kidney tissue.
Magnetic Resonance Imaging of Symptomatic Swimmer's Shoulder

Background: Several anterior labral lesions have been described but to our knowledge, they have not been described in the context of swimmer’s shoulder. Hypothesis: We believe a plastically deformed anterior-inferior glenoid labrum is the pathognomonic lesion in swimmer’s shoulder. We believe that this can be seen but is often missed with MR arthrography. Study design: Retrospective study. Methods: Eleven detailed magnetic resonance imaging scans of symptomatic shoulders of swimmers who had arthroscopically demonstrated labral dysplasia were obtained between 2011 and 2014. One experienced musculoskeletal radiologist and one orthopedic surgeon interpreted each scan, specifically focusing on the anteroinferior labrum (from 3 to 6 o’clock). Results: Nine of the eleven images (axial cuts) showed a more rounded/blunted appearance with undefined features at the anterior inferior labrum. Nine of nine images demonstrated an intact IGHL and labrum in the ABER position, three patients were unable to perform the positioning. Conclusions: We believe the chronic repetitive micro-traumatic nature of competitive swimming leads to a more rounded/blunted appearance of the anterior inferior labrum on MR imaging. Further research may help identify these undefined features. Original reSearch
Fractal reaction kinetics: exciton fusion on clusters

Etude de reactions bimoleculaires ou pseudo-monomoleculaires de marcheurs aleatoires dans de grands agregats, au moyen d'equations de vitesse simples, resolvables analytiquement. La variation temporelle du coefficient de vitesse est simple: K(t)∞t −h ou 1≥h≥0 et h=1-f ou 2f est la dimension «fracton» effective de Alexander et Orbach, h, mesure le degre d'heterogeneite locale
Deep Learning with network of Wearable sensors for preventing the Risk of Falls for Older People

Activity recognition (AR) systems for older adults are common in residential health care including hospitals or nursing homes; therefore, numerous solutions and studies presented to improve the performance of the AR systems. Yet, delivering sufficiently robust AR systems from sensor data recorded is a challenging task. AR in a smart environment utilizes large amounts of sensor data to derive effective features from the data to track the activity daily living. This paper maximizes the performance of AR system from using the convolutional neural network (CNN). Here, it analyzes signals from the network sensors distributed in different places in two clinical rooms at the Elizabeth hospital, such as W2ISP and RFID sensors. The proposed approach recognized the daily activities that consider a key to falling cases for older adults at a hospital or a nursing health house. A deep activity CNNets is used to train the effective features of daily activities sensors data then used for recognizing the highest falling risk activities in testing data. This approach used existing data of fourteen healthy older volunteers (ten females and four males) and then compared to other proposed approaches that used the same dataset. The experimental results show that this approach is superior to others. It achieved (96.37±3.63%) in the first clinic room and (98.37±1.63%) in the second clinic room. As the result, this experiment concludes that deep learning methodology is effectively assessing fall risk based on wearable sensors.
The impact of information about tobacco-related reproductive vs. general health risks on South Indian women's tobacco use decisions

Abstract Abstract Smokeless tobacco use among Indian women is increasing despite prevention efforts. Evolutionary theories suggest that reproductive-aged women should be more concerned about immediate threats to reproduction than threats to survival occurring late in life. This study therefore compared an anti-tobacco intervention that emphasized near-term reproductive harms to one involving general harms occurring later in life. Scheduled Tribal women (N = 92) from Karnataka, India participated in this study. At baseline, women reported tobacco use and knowledge of harms, provided a saliva sample to assess use, and randomly viewed either a general harms presentation (GHP) or reproductive harms presentation (RHP). At followup, women reported their use, knowledge of harms and intentions to quit, and provided another saliva sample. At baseline, participants were aware of general harms but not reproductive harms. Both interventions increased knowledge of harms. Women in the RHP condition did not list more harms than women in the GHP condition, however, and the RHP was not more effective in reducing tobacco use than the GHP. In the RHP condition fetal health was particularly salient. In the GHP condition, oral health was highly salient, aligning with the local disease ecology and research on tobacco use and attractiveness.
Sulfate-Reducing Bacteria in Anaerobic Propionate Systems

The design of anaerobic treatment systems for sulfate containing high-strength wastewater requires the understanding of interactions between sulfate reducers and other anaerobes. The objectives of this research were to study the effects of the feed propionate:sulfate ratio on the interactions among the sulfate-reducing bacteria (SRB), acetogens, and methanogens, and to determine the kinetics of anaerobic biological reactions for propionate degradation under sulfate-limited and sulfate-rich conditions. Both continuous and batch experiments were conducted to meet these objectives. In sulfate-limited chemostats with propionate as the sole carbon source, the effluent sulfate concentration was governed by the propionate utilizing SRB and was below 10 mg/L. In sulfate-rich systems the effluent sulfate concentration was governed by acetate utilizing SRB and could not be maintained below 400 mg/L without controlling the sulfide concentration. Under these sulfate-rich conditions, a decrease in SRT from 30 to 13 d .
Handwritten digit recognition based on corner detection and convolutional neural network

In the field of inspection and testing, it is necessary to manually fill a large number of test record forms, and the digital information accounts for a large proportion in the record forms. For the purpose of automatic and accurate recognition of handwritten form data, this paper proposes a handwritten digit recognition method based on Harris corner detection algorithm and convolutional neural network(CNN). The Harris corner detection algorithm is used to identify the positioning marks in the form image, which determine the possible fill-in positions of handwritten digits. Through a 14-layer CNN model, and using the ReLu function as the excitation function, the handwritten digit features of the target area in the image are recognized. The experimental results show that the average recognition accuracy rate of this method on the test set can reach 98.14%. So a technical solution for intelligent recognition of record forms is thus provided.
Is Expenditure by States for Development Compromised to Ensure Compliance of Fiscal Targets? A Study of Indian States

This article examines the interlinkage between fiscal consolidation targets and states’ developmental expenditure under capital account. While fiscal consolidation targets have enabled states to take corrective measures to reduce deficit under the revenue account, the effect of the same is studied on developmental expenditure under capital account. For analysis, the fiscal deficit and developmental expenditure under the capital account have been compared with the fiscal deficit targets and general category states’ average benchmarks for fiscal indicators for three phases (corresponding to the periods of three finance commissions). It is argued, that, while fiscal consolidation has helped to improve the state finances, the stringent fiscal targets have further reduced the developmental expenditure under capital account. In view of this, it is suggested that the states, which are historically stressed, should be allowed to borrow an additional amount of 0.25 per cent of GSDP each year over and above the existing limit, provided these states make efforts to reduce deficit under revenue account and spend the extra borrowings on developmental expenditure under capital account.
The Effects of Day of the Week on Temporal Ambiguity Resolution

Previous research has suggested that individuals’ resolution of temporal ambiguity relies on experiences in physical domains, as well as on future event valence and emotional experiences. In the current study, we investigate whether the interpretation of a temporally ambiguous question is modulated by the day of the week on which the study was conducted. We asked participants (N = 208) to resolve the ambiguous time question on different days of the week (Monday or Friday). The results of the experiment indicate differences in processing of temporal ambiguity between different days of the week. The study raises the interesting possibility that days of the week can have important implications for resolving temporal ambiguity.
Unified elimination of 1D acoustic multiple reflection

Migration, velocity and amplitude analysis are the employed processing steps to find the desired subsurface information from seismic reflection data. The presence of free‐surface and internal multiples can mask the primary reflections for which many processing methods are built. The ability to separate primary from multiple reflections is desirable. Connecting Marchenko theory with classical one‐dimensional inversion methods allows to understand the process of multiple reflection elimination as a data‐filtering process. The filter is a fundamental wave field, defined as a pressure and particle velocity that satisfy the wave equation. The fundamental wave field does not depend on the presence or absence of free‐surface multiples in the data. The backbone of the filtering process is that the fundamental wave field is computed from the measured pressure and particle velocity without additional information. Two different multiples‐free datasets are obtained: either directly from the fundamental wave field or by applying the fundamental wave field to the data. In addition, the known schemes for Marchenko multiple elimination follow from the main equation. Numerical examples show that source and receiver ghosts, free‐surface and internal multiples can be removed simultaneously using a conjugate gradient scheme. The advantage of the main equation is that the source wavelet does not need to be known and no pre‐processing is required. The fact that the reflection coefficients can be obtained is an interesting feature that could lead to improved amplitude analysis and inversion than would be possible with other processing methods.
Multi-spectral imaging of oxygen saturation

The system of multi-spectral imaging of oxygen saturation is an instrument that can record both spectral and spatial information about a sample. In this project, the spectral imaging technique is used for monitoring of oxygen saturation of hemoglobin in human tissues. This system can be used for monitoring spatial distribution of oxygen saturation in photodynamic therapy, surgery or sports medicine. Diffuse reflectance spectroscopy in the visible range is an effective and extensively used technique for the non-invasive study and characterization of various biological tissues. In this article, a short review of modeling techniques being currently in use for diffuse reflection from semi-infinite turbid media is presented. A simple and practical model for use with a real-time imaging system is proposed. This model is based on linear approximation of the dependence of the diffuse reflectance coefficient on relation between absorbance and reduced scattering coefficient. This dependence was obtained with the Monte Carlo simulation of photon propagation in turbid media. Spectra of the oxygenated and deoxygenated forms of hemoglobin differ mostly in the red area (520 - 600 nm) and have several characteristic points there. Thus four band-pass filters were used for multi-spectral imaging. After having measured the reflectance, the data obtained are used for fitting the concentration of oxygenated and free hemoglobin, and hemoglobin oxygen saturation.
Muscle oxygenation monitoring using near-infrared spectroscopy

Near-infrared spectroscopy (NIRS) has been a useful method for the detection of changes in in vivo muscle oxygenation and oxidative metabolism in healthy subjects as well as in patients with various diseases. The advantage of using NIRS over other invasive techniques is that the device itself is more portable and the procedure can be performed more simply. So far, commercially available single-distance continuous wave NIRS (NIRSSDCW) device provide only the relative values of tissue oxygenation mainly due to the unknown path of NIR light through biological tissues. In particular, subcutaneous adipose tissue thickness greatly influences the light pathlength and makes it difficult to quantify tissue oxygenation. Alternatively, the arterial occlusion and sensitivity correction approach using NIRSSDCW and the pathlength determination using sophisticated time-resolved or phase-modulated spectroscopy could estimate the absolute value of tissue oxygenation. This paper aims at reviewing primarily NIRSSDCW studies for evaluating skeletal muscle oxygenation and oxidative metabolism, specifically in physiological and medical research area.
Efficiency of Sawdust as Low-Cost Adsorbent for Dyes Removal

In recent years, the removal of dyes from wastewater has attracted considerable attention due to their harmful effects to ecosystem and human health. Adsorption as a facile and effective technique has been widely used to eliminate a large variety of dyes from aqueous solutions. Activated carbon is the most preferred adsorbent to treat wastewater but its use is limited because of high cost. Therefore, several low-cost and natural materials and wastes have been used as precursors for the preparation of alternative adsorbents. Among them, sawdust as an abundant and low-cost by-product has been explored as adsorbent for the removal of dyes from wastewater. This review focuses on the various sawdust used as a precursor for the preparation of activated carbons. Extensive literature information about sawdust, its compositions, activation methods, its efficiency for dyes removal, and environmental conditions effects has been reviewed. The applicability of various adsorption kinetic models and adsorption isotherm models for dye removal by sawdust-derived activated carbons has been also reported. Finally, this paper highlights the use of sawdust as base material for various composites and mixture which can be used as granular activated carbon.
Influence of interatomic interactions on the structure and stability of polypeptides and proteins

Several examples are cited to demonstrate how conformational‐energy calculations provide information about the manner in which interatomic interactions influence the structure and stability of polypeptides and proteins, and of intermolecular complexes involving these same species. These include the screw senses of α‐helical polyamino acids, helix–coil transition parameters, properties of β‐bends, and the structures of gramicidin S and of synthetic poly‐(tripeptide) models of collagen. In all of these calculations, the multiple‐minimum problem has been surmounted. A description is provided as to how the multiple‐minimum problem is being approached in calculations on globular proteins. These computational methods have also been applied to protein structure refinement and to the calculation of structures of homologous proteins and of enzyme–substrate complexes.
APPRECIATING POSITIVITY OF COVID-19

This article aims to decipher the effects of COVID-19 on humans, thus maintaining the equanimity of life. Ecclesiastes continually radiates its significance these trying times with the operation that everything has its season under heavens. Only an undesirable and existential peril like COVID-19 steered to such profound transformation vastly. The portrayal is considered some of the many obvious outgrowths of the COVID-19 plague. Compared to 2019, levels of pollution have significantly subtracted to 50% because of the measures to ensure the virus is contained. Recognizing health-wealth worth took place when the world watches someone busy picking up the pieces of their lives amidst helpless speculators. In the busyness of life, most, if not all, rarely spend time to slow down, stay home, and go inward. The pandemic teaches us lessons about relationships. The invisible lines that divide people into strata - religion, sex, age, and country have all disappeared as humanity is confronted with this menace as people.