Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of temperature on the solubility and solid phase stability of zirconium hydroxide

Summary The solubility and solid phase stability of zirconium hydroxide was investigated in the acidic pH range after heating the aqueous samples at 50, 70 and 90 ◦C. The solubility measured at room temperature after exposing the batch samples to elevated temperatures for a given period of time significantly decreased with increasing heating periods. The Zr concentrations at given pH after heating at 90 ◦C for 3 weeks are about 5 orders of magnitude lower than the solubility of amorphous zirconium hydroxide (Zr(OH)4(am)) kept at room temperature. Size distributions of the Zr colloidal species after heating were investigated by sequential filtration using different pore-sized membranes, and the contribution of the colloidal species to the solubility was assessed. The TEM images and XRD spectra of the solid phases after heating indicated the agglomeration and crystallization of the initial amorphous hydroxide solid phase. The solid phase was identified as crystalline oxide after heating at 90◦C. The solubility product determined from the solubility data excluding contributions of colloidal species is correlated to the particle size of the solid phase.
Effect of S, B and Zn application and their interactions on growth, yields and nutrient uptake of Tagetes minuta L.

Application of B, S and Zn individually or in combinations in Tagetes minuta L. increased the plant height and fresh weight of plants significantly over control. Individual application of B and Zn resulted in a significant increase in the number of branches/plant. Individual application of B increased the dry matter yield significantly. Application of Zn increased the dry matter yield significantly. The highest oil yield was recorded in treatment receiving 5 kg Zn/ha alone.
Marketing Strategy for Financial Services in Indian Financial Service Institutions

Indian financial sector passed through various stages of development including pre-nationalization, post-nationalization and the recent one post-liberalization. In these stages, marketing was at hibernation mode, as the relationship between banking and marketing was not considered important. However, the recent developments in the Indian financial sector as well as changes in customer preferences towards financial services have aggravated a need for a stronger relationship between marketing and financial service institutions. This thought grew up after there was a realization of the sustainable structure. In light of the above development, authors have attempted to study and explore the marketing strategy of financial service institutions specifically for financial products and services to target retail customers. This exploratory research is carried out by interviewing around 285 employees (in sales and marketing in banks and NBFCs) in Delhi-NCR region through a structured questionnaire. A total of 24 factors were identified through the literature available on the topic (factors that affect the marketing strategy of financial services offered). Exploratory factor analysis was applied, and it was found that five most influential factors are devising a differential marketing strategy. This marketing strategy has been named as ‘PRISM’ (acronym of the strategies developed).
Micronutrients Deficiency, Supplementation and Novel Coronavirus Infections–A Systematic Review and Meta-Analysis

Background: Micronutrients has roles in strengthening and maintaining immune function, but its supplementation and/or deficiency effects on respiratory tract infections are inconclusive. This review aims to systematically assess the associations between micronutrient supplementation or deficiency, with novel coronavirus incidence and disease severity. Methods: Systematic literature searches conducted in 5 electronic databases identified 751 unique studies, of which 33 studies (5 supplementation studies, 1 supplementation and deficiency study, and 27 deficiency studies) were eventually included in this review. Proportions of incidence and severity outcomes in each group, and adjusted summary statistics with their relevant 95% confidence intervaIs (CI) were extracted. Data from 19 studies were pooled in meta-analysis using the generic inverse variance method. Findings: A total of 360,346 patients across 16 countries, with a mean age between 32 and 87.7 years, were involved across 33 studies. All studies were on COVID-19 infections. In individuals without micronutrient deficiency, there was a significant reduction on odds of COVID-19 incidence (pooled OR: 0.37, 95% CI: 0.18, 0.78), and ICU admissions or severe/critical disease onset (pooled OR: 0.26, 95% CI: 0.08, 0.89). Insignificant protective effects were observed on other outcome measures – mortality, ICU admission, progression to respiratory-related complications, severe/critical disease onset or requiring respiratory support and hospitalization rate. Conclusion: The absence of micronutrient deficiency significantly reduced COVID-19 incidence and clinical deterioration in hospitalized patients. Usage of micronutrients as prophylaxis and complementary supplement in therapeutic management of COVID-19 patients may be a promising and cost-effective approach warranting in-depth investigation.
Effect of Early Mobilization on Hip and Lower Extremity Postoperative: A Literature Review

Introduction The incidence of fracture and surgery of the hip and lower extremities is still high. Long postoperative bed rest can potentially increase the incidence of various complications that may increase patients’ morbidity and mortality rate after hip and lower extremities surgery. This literature review aimed to identify the effects of early mobilization on hip and lower extremity postoperative. Methods Search for articles on several databases such as ProQuest, ScienceDirect, CINAHL, Medline, Wiley Online, and Scopus, using the Boolean operator tools with “AND” and “OR” words by combining several keywords according to the literature review topic, with inclusion criteria of those published in the last three years (2019–2021), using a quantitative design, written in English and full-text articles. A total of 435 articles were obtained, screened, and reviewed so that there were 16 (sixteen) eligible articles. Results There were 11 (eleven) effects of early mobilization, that is, shorter the length of stay, lower postoperative complication, lower the pain, increase walking ability, increase quality of life, decrease the rate of readmission, decrease mortality rate, lower the total hospitalization cost, higher number of physical therapy sessions prior to discharge, increase in satisfaction, and no fracture displacement or implant failure. Conclusion This literature review showed that early mobilization is safe and effective in postoperative patients to reduce the risk of complications and adverse events. Nurses and health workers who care for patients can implement early mobilization and motivate patients to cooperate in undergoing early mobilization.
PENGARUH TEMPERATUR KALSINASI DAN WAKTU PENAHANAN TERHADAP PERTUMBUHAN KRISTAL NANOSILIKA

Dalam tugas akhir ini telah dilakukan sintesis serbuk nanosilika dengan metode kopresipitasi yang dikalsinasi dengan variasi temperatur dan waktu penahanan. Bahan dasar yang digunakan dalam tugas akhir ini adalah pasir silika yang berasal dari pantai Bancar, Tuban, Jawa Timur, Indonesia yang telah dimurnikan dengan metode kopresipitasi. Nanosilika dibuat dengan melarutkan pasir silika kedalam larutan NaOH 7M sampai terbentuk prekursor natrium silikat. Prekursor hasil sintesis dititrasi dengan menggunakan HCl 37 % sampai pH 7 dan terbentuk nanosilika. Kemudian nanosilika dikalsinasi pada temperatur 900°C dan 950°C dengan variasi waktu penahanan 4, 6, 8, dan 10 jam. Karakterisasi dilakukan dengan menggunakan instrumen X-Ray Difractometer sinar-X (XRD) dan Differential Scanning Calorimetry -Thermogravimetric Analysis (DSC-TGA). Analisis hasil pengujian XRD dilakukan dengan menggunakan perangkat lunak Match! Hasil analisis menunjukkan bahwa dengan temperatur kalsinasi 900°C dan 950°C terbentuk fasa cristobalite high. Fasa cristobalite high meningkat dengan bertambahnya waktu penahanan. Ukuran partikel dari nanosilika dapat diketahui yaitu berkisar antara 32,83 nm hingga 33,03 nm.
Text Classification in Clinical Practice Guidelines Using Machine-Learning Assisted Pattern-Based Approach

Clinical Practice Guidelines (CPGs) aim to optimize patient care by assisting physicians during the decision-making process. However, guideline adherence is highly affected by its unstructured format and aggregation of background information with disease-specific information. The objective of our study is to extract disease-specific information from CPG for enhancing its adherence ratio. In this research, we propose a semi-automatic mechanism for extracting disease-specific information from CPGs using pattern-matching techniques. We apply supervised and unsupervised machine-learning algorithms on CPG to extract a list of salient terms contributing to distinguishing recommendation sentences (RS) from non-recommendation sentences (NRS). Simultaneously, a group of experts also analyzes the same CPG and extract the initial patterns “Heuristic Patterns” using a group decision-making method, nominal group technique (NGT). We provide the list of salient terms to the experts and ask them to refine their extracted patterns. The experts refine patterns considering the provided salient terms. The extracted heuristic patterns depend on specific terms and suffer from the specialization problem due to synonymy and polysemy. Therefore, we generalize the heuristic patterns to part-of-speech (POS) patterns and unified medical language system (UMLS) patterns, which make the proposed method generalize for all types of CPGs. We evaluated the initial extracted patterns on asthma, rhinosinusitis, and hypertension guidelines with the accuracy of 76.92%, 84.63%, and 89.16%, respectively. The accuracy increased to 78.89%, 85.32%, and 92.07% with refined machine-learning assistive patterns, respectively. Our system assists physicians by locating disease-specific information in the CPGs, which enhances the physicians’ performance and reduces CPG processing time. Additionally, it is beneficial in CPGs content annotation.
Can We Use Machine Learning for Agricultural Land Suitability Assessment?

It is vital for farmers to know if their land is suitable for the crops that they plan to grow. An increasing number of studies have used machine learning models based on land use data as an efficient means for mapping land suitability. This approach relies on the assumption that farmers grow their crops in the best-suited areas, but no studies have systematically tested this assumption. We aimed to test the assumption for specialty crops in Denmark. First, we mapped suitability for 41 specialty crops using machine learning. Then, we compared the predicted land suitabilities with the mechanistic model ECOCROP (Ecological Crop Requirements). The results showed that there was little agreement between the suitabilities based on machine learning and ECOCROP. Therefore, we argue that the methods represent different phenomena, which we label as socioeconomic suitability and ecological suitability, respectively. In most cases, machine learning predicts socioeconomic suitability, but the ambiguity of the term land suitability can lead to misinterpretation. Therefore, we highlight the need for increasing awareness of this distinction as a way forward for agricultural land suitability assessment.
Convection and Heat Transfer in Island (Warm) Wakes

The interaction between the incoming winds and high mountainous islands produces a wind-sheltered area on the leeward side, known as the atmospheric wake. In addition to weaker winds, the wake is also characterized by a clearing of clouds, resulting in intense solar radiation reaching the sea surface. As a consequence, a warm oceanic wake forms on the leeward side. This phenomenon, detectable from space, can extend 100 km offshore of Madeira, where the sea surface temperature can be 4°C higher than the surrounding oceanic waters. This study considers in situ, remote sensing, and ocean circulation model data to investigate the effects of the warm wake in the vertical structure of the upper ocean. To characterize the convective layer (25–70 m) developing within the oceanic wake, 200 vertical profiles of temperature, salinity, and turbulence were considered, together with the computation of the density ratio and Turner angle. In comparison with the open-ocean water column, wake waters are strongly stratified with respect to temperature, although highly unstable. The vertical profiles of salinity show distinct water parcels that sink and/or rise as a response to the intense heat fluxes. During the night, the ocean surface cools, leading to the stretching of the mixed layer, which was replicated by the ocean circulation model. In exposed, nonwake regions, however, particularly on the southeast and north coasts of the island, the stretching of the mixed layer is not detectable.
Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference

A new approach to optical fiber sensing is proposed and demonstrated that allows for specific measurement even in the presence of strong noise from undesired environmental perturbations. A deep neural network model is trained to statistically learn the relation of the complex optical interference output from a multimode optical fiber (MMF) with respect to a measurand of interest while discriminating the noise. This technique negates the need to carefully shield against, or compensate for, undesired perturbations, as is often the case for traditional optical fiber sensors. This is achieved entirely in software without any fiber postprocessing fabrication steps or specific packaging required, such as fiber Bragg gratings or specialized coatings. The technique is highly generalizable, whereby the model can be trained to identify any measurand of interest within any noisy environment provided the measurand affects the optical path length of the MMF’s guided modes. We demonstrate the approach using a sapphire crystal optical fiber for temperature sensing under strong noise induced by mechanical vibrations, showing the power of the technique not only to extract sensing information buried in strong noise but to also enable sensing using traditionally challenging exotic materials.
Preparation and characterisation of the NBC/CL-20/AP nanoenergetic composite materials

ABSTRACT In this study, a novel nitrated bacterial cellulose/2,4,6,8,10,12-Hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane/ammonium perchlorate nanoenergetic composite was successfully prepared by the sol–gel method and the freeze-drying technology. The structure and composition were characterised by means of scanning electron microscope, X-ray diffractometer and Fourier-transform infrared. The results demonstrated that the structure of the gel nanoparticles was granted with unique network cross-linked porous, wherein the hexaazaisowurtzitane and ammonium perchlorate nanoparticles were embedded and dispersed uniformly in the gel matrix. The thermal decomposition properties of composites were analysed by differential scanning calorimeter-thermogravimetric analysis, and the results revealed that the composites exhibited only two exothermal peaks which correspond to the nitrated bacterial cellulose/hexaazaisowurtzitane and ammonium perchlorate. In addition, the impact and friction sensitivities of composites were also performed and showed outstanding safety performance. Hence, this preparation strategy of nitrated bacterial cellulose-based nanocomposite energetic materials may provide promising application in high-performance and low-sensitivity propellants.
0058 Changes in suspected overdoses following the start of the COVID-19 pandemic: results from the michigan system for opioid overdose surveillance

Statement of purposeTo use data from a state-wide opioid overdose surveillance system in Michigan to evaluate changes in opioid overdose frequency during the COVID-19 pandemic Methods/ApproachThe System for Opioid Overdose Surveillance (SOS) is a near real-time overdose surveillance system in the state of Michigan run out of the University of Michigan Injury Prevention Center, in collaboration with the Michigan HIDTA SOS receives daily data feeds containing all EMS encounters involving naloxone administration, and daily data on suspected fatal overdoses from medical examiners covering ∼80% of the state’s population We used SOS data to compare spatial and temporal changes in suspected opioid overdoses after 3/1/20, the approximate timing of the intensification of the COVID-19 pandemic, and compared those changes to those seen at the same time in 2019 ResultsFrom 3/1/20–9/16/20, suspected fatal overdoses were 15 0% higher than during the same time in 2019, and naloxone administrations by EMS were 28 8% higher;a majority of counties and cities saw analogous changes, though the magnitude varied Rates of both suspected fatal overdoses and EMS naloxone administrations were higher in 2020 prior to March, but the difference increased following the start of the pandemic By late August, rates of suspected fatal overdoses returned to 2019 levels, but EMS naloxone administration rates remained nearly 40% higher than the same time in 2019 ConclusionsEvidence suggests that overdose and the COVID-19 pandemic are interwoven crises, and resources are required to address both the isolation and stress of the pandemic, and the medical system excess burdens, which all may intensify substance use, and reduce the likelihood of seeking treatment SignificanceOverdose remains a leading cause of death, and that burden has increased during the pandemic in Michigan Approaches are needed to address secondary effects of the COVID-19 pandemic
A Lightweight Three-Factor Anonymous Authentication Scheme With Privacy Protection for Personalized Healthcare Applications

Security and privacy issues in wireless medical sensor networks (WMSNs) have attracted lots of attention in both academia and industry due to the sensitiveness of medical system. In the past decade, extensive research has been carried out on these security issues, but no single study exists that addresses them adequately, especially for some important security properties, such as user anonymity and forward secrecy. As a step towards this direction, in this paper, the authors propose a lightweight three-factor anonymous authentication scheme with forward secrecy for personalized healthcare applications using only the lightweight cryptographic primitives. The proposed scheme adopts pseudonym identity technique to protect users' real identities and employs one-way hash chain technique to ensure forward secrecy. Analysis and comparison results demonstrate that the proposed scheme can not only reduce execution time by 34% as compared with the most effective related schemes, but also achieve more security and functional features.
Do party system parameters explain differences in legislative organization? Fragmentation, polarization, and the density of regulation in European parliaments, 1945–2009

The article studies whether the party system characteristics fragmentation and ideological polarization increase the density of institutional regulation in parliaments. It introduces a comprehensive time-series-cross-sectional dataset of standing orders in 15 Western European parliaments that allows studying how densely various fields of legislative activity such as lawmaking, controlling the government, and creating publicity were regulated over a period of more than 60 years. Descriptively, the data show increased regulation in all areas but also some variation between countries. Dynamic panel regression analyses for non-stationary time series find no systematic effect of fragmentation or polarization on the density of regulation indicating that large parts of legislative organization change for reasons unrelated to party system dynamics. We identify changes in the environment of legislatures such as increasing complexity and professionalization of politics, technological change, and Europeanization as potential drivers of such Pareto-efficient reforms.
The effects of cyber regulations and security policies on organizational outcomes: a knowledge management perspective

ABSTRACT Knowledge management (KM) has emerged as an operational and strategic organisational tool. However, the influence of recent cyber regulations (CR) and security policies (SP) on the usefulness of KM, are absent from the literature. This study focuses on the intersection of knowledge management and knowledge fortification. The study employs survey data from a sample of firms and utilises partial least squares (PLS) with extensive post hoc analyses, to examine the influence of CR and SP on KM core processes (acquisition, sharing, and utilisation) and subsequently on the operational effectiveness and strategic performance of firms. Contrary to prior research, we found that external knowledge sharing negatively affected performance. These findings support our assertion that KM processes are tied to contingencies that change the relationship between KM outcomes.
Micro‐Raman spectroscopic investigations of extremely scarce Pb–As sulfosalt minerals: baumhauerite, dufrénoysite, gratonite, sartorite, and seligmannite

The overmuch rare lead arsenic sulfosalts, baumhauerite (Pb3As4S9), dufrenoysite (Pb2As2S5), gratonite (Pb9As4S15), sartorite (PbAs2S4), and seligmannite (PbCuAsS3), were investigated by Raman spectroscopy. Raman spectra of the investigated minerals arise from the stretching and bending modes of the isolated and interconnected AsS3 pyramidal groups. The As–S stretching vibrations of the studied minerals occur between 390 and 340 cm−1, whereas those of S–As–S bending modes between 335 and 220 cm−1. The shorter bond distances of the As–S readily elucidate the blue shift from seligmannite to gratonite, sartorite, dufrenoysite, and baumhauerite and the increase in full width at half maximum in similar modes. Copyright © 2016 John Wiley & Sons, Ltd.
Assessment of Critical Shear Stress and Threshold Velocity in Shallow Flow with Sand Particles

In this study, the incipient motion of four groups of sand, ranging from medium to very coarse particles, was experimentally examined using an acoustic Doppler velocimeter (ADV) in different water depths under the hydraulically transitional flow condition. The transport criterion of the Kramer visual observation method was used to determine threshold conditions. Some equations for calculating threshold average and near-bed velocities were derived. Results showed that the threshold velocity was directly proportional to both sediment particle size and water depth. The vertical distributions of the Reynolds shear stress showed an increase from the bed to about 0.1 of the water’s depth, after performing a damping area, then a decrease toward the water surface. By extending the linear portion of the Reynolds shear stress in the upper zone of the damping area to the bed, the critical shear stress, particle shear Reynolds number, and critical Shields parameter were calculated. Results showed that the critical Shields parameter was located under the Shields curve, showing no sediment motion. This indicates that the incipient motion of sediment particles occurred with smaller bed shear stress than that estimated using the Shields diagram in the hydraulically transitional flow region. The reason could be related to differences between the features of the present experiment and those of the experiments used in the development of the Shields diagram, including the approaches to determine and define threshold conditions, the accuracy of experimental tools to estimate critical shear stress, and sediment particle characteristics. Therefore, the change in the specifications of experiments from those on which the Shields diagram has been based led to the deviation between the estimation using the Shields diagram and that of real threshold conditions, at least in the hydraulically transitional flow region with sand particles.