Miracle-dz/UniFAR-FTUs huggingface dataset:
Gerontology and Nursing in the Emergency Department

Background: With a rapid rise in our older adult population globally and due to their multimorbidities, our older adults are more likely to engage in the services provided in the emergency department at a higher rate than younger adults. The current emergency service delivery model may be ineffective against such an ageing phenomenon. Research reports most older adults having one or more co-morbidities including functional decline, dementia, and frailty. Studies have shown that older adults have been undertriaged with physicians not being able to comprehend their complex needs related to their presenting complaints in the emergency department. Geriatric emergency departments have incepted worldwide to better manage this care deficiency in the rapidly ageing society around the world. Data Sources: A search of published literature from 2010-2020 using (keywords) as described below was undertaken of which, relevant literature were selected for an informed review. Implications for Nursing: Understanding geriatric emergencies can enable healthcare workers to reduce undertriaging and provide appropriate care that improves patient's health outcomes currently and in the future in the emergency department. Further education in gerontology can also be a platform for our nurses to enhance their care and thought process, likewise upskilling themselves for the future geriatric population seeking treatment. Older healthcare workers will also be able to enhance their current job scope before retirement. In-house teachings from trained gerontologists or certified programs can shed light on the special care needs of our senior citizens globally. Conclusion: With our rapidly increasing population, we can expect an influx of our older patients both from home and long-term care facilities to present to the emergency department with a wide range of geriatric emergencies. By being able to create a geriatric screening process and tailored care models, healthcare workers will be able to understand their care process and in turn, improve patients' health outcomes and provide a quicker transition of care.
Control of Botrytis Bunch Rot of Ripening Grapes: Timing Applications of the Dicarboximide Fungicides

Various dicarboximide fungicides at 0.84 kg to 1.12 kg (active ingredient)/ha when applied first at 5° to 7° Brix and then two weeks later, provided a high level of control of Botrytis bunch rot ( Botrytis cinerea Pers.) of ripening grapes in New York State. Control was rarely improved by making two additional applications at 5% or 90% bloom and at bunch closing. Control provided by two late season applications of vinclozolin was improved significantly when an early season treatment of gibberellic acid at 25 mg/L was included. The use of only two sprays per season may lessen the selective pressure by these fungicides and thereby delay development of fungicide-resistant strains.
NEW RESULTS ON ROBUST STATE BOUNDING ESTIMATION FOR DISCRETE TIME MARKOVIAN JUMB STOCHASTIC CONTROL SYSTEMS

Received: 05/3/2021 The paper deals with the robust state bounding estimation problem of stochastic control systems with discrete time Markovian jump. By using Lyapunov functional method and probability theory, we propose new sufficient conditions to guarantee robust state boundedness for the stochastic control systems. The conditions are derived in terms of linear matrix inequalities, which is simple and convenient for testing and application. Unfortunately, difficulties arise when one attempts to derive the sufficient conditions and to extract the controller parameters for these systems. In fact, we have to cope with stochastic process and disturbance. Indeed, the Lyapunov functional method is a powerful tool to stability analysis of differential systems. However, this method is not effectively applied for stochastic systems because we do not know how to construct suitable Lyapunov functions and use them in these systems. To overcome the difficulties, we first introduced basic concepts of probability theory. Next, a new sufficient conditions of robust state boundedness for unforced stochastic systems was established. Finally, the result was applied to design controllers to guarantee robust state boundedness for stochastic control systems. Revised: 26/5/2021
A phase I study of an IDO inhibitor (SHR9146) plus camrelizumab and in combination with/without apatinib in patients with advanced solid tumors: Safety and efficacy analysis.

3101 Background: IDO is an enzyme of interest in immuno-oncology because of the immunosuppressive effects that result from its role in tryptophan catabolism. Clinical trials of IDO inhibitors with immunotherapy are under active investigation. The addition of angiogenesis inhibitor may further enhance the anti-tumor immune responses. Here we report the safety and efficacy results of SHR9146 (IDO inhibitor) plus camrelizumab (PD-1 antibody) with/without apatinib (VEGFR-2 inhibitor) in patients (pts) with advanced solid cancers who failed standard antitumor therapies. Methods: This was an open-label, phase I study. Eligible puts would receive SHR9146 (escalated dose) plus camrelizumab (200 mg IV, q2w) alone (Cohort A) or in combination with apatinib (250 mg p.o. qd) (Cohort B). Each cohort was conducted according to a 3+3 dose escalation design. The starting dose of SHR9146 was 100mg bid, followed by 200, 400, 600 mg bid. The two primary endpoints were Dose-limiting Toxicity (DLT) and Maximum Tolerated Dose (MDT). The secondary objective was to analysis the incidence of Adverse Events (AEs) and efficacy. Results: As of Oct 31, 2020, 23 pts have been enrolled (Cohort A:14, Cohort B: 9; median age: 54 years; median prior therapies: 2 lines;). Cohort A was escalating at 600mg, and Cohort B was escalating at 400mg. Two pts experienced DLTs: one DLT (G4 hypercalcemia) was observed at 600mg in Cohort A; the other DLT (G3 rash) was observed at 400mg in Cohort B. MDT was not reached and the study was still ongoing. In Cohort A, ORR and DCR in evaluable pts were 21.4% (3/14, all confirmed) and 42.9% (6/14). Partial response was observed in 3 pts with liver cancer (1/3), renal cancer (1/3), and cervix cancer (1/3). In Cohort B, ORR and DCR in evaluable pts were 33.3%(3/9, all confirmed) and 77.8%(7/9). Partial response was observed in 3 pts with SCLC (1/3), prostate cancer (1/3) and renal cancer (1/3). The incidence of pts with TRAEs and grade>=3 TRAEs were 91.3% (21/23) and 39.1% (9/23) respectively. The most common grade>=3 TRAEs were hypercalcemia (26.1%, 6/23), fatigue (17.4%, 4/23) and nausea (13.0%, 3/23). No fatal AEs were observed. G3 nausea, G3 lipase increased and G2 GGT increased resulted in SHR9146 dose reduction in 3 pts (Cohort A). Conclusions: SHR9146 plus camrelizumab in combination with/without apatinib demonstrated promising anti-tumor activity with acceptable safety in pts with advanced solid tumors. Further study is needed to validate the efficacy and safety. Clinical trial information: NCT03491631.
Development of capitals in integrated reporting and weighting representative indicators with entropy approach

Purpose In integrated reporting, financial and non-financial performance is presented interactively, as the value creation abilities of corporations are shaped via capitals, the importance of the topic increases day by day. In addition to this, differentiation of importance of basic and sub-dimensions representing capitals between institutions leads to questions on which weight these should take place. From this point, this paper aims to develop capitals in integrated reporting and to weight the indicators representing them. Design/methodology/approach In this study, first, to ensure that each component of capital is included in integrated reporting, governance capital has been added to capitals, which are identified in the international integrated reporting framework (the framework). Then, weights of each capital dimension and indicators within these dimensions have been determined in a banking sector example with the entropy method. Findings Including the 2014-2017 period, an efficient weight assessment approach with the entropy method has been presented and it was observed that the most weighted element is the intellectual capital. Research limitations/implications The limitations of this study are the lack of an agreed general indicator framework for indicators representing multiple capitals in integrated reporting, each bank’s data disclosure of different indicators and differentiation of the shared data between sources. Practical implications This study guides the weighting studies necessary for integrated performance measurement. Social implications It is foreseen that this study will be effective in the development of integrated thinking and this effect will contribute to the overall functioning of all sectors beyond the banking sector, which is the application area of the study. Originality/value The study is the first original study in the literature in terms of providing a new dimension by adding the governance capital to the capitals defined in the Framework.
The observational role at the time of Covid-19. Experiences and reflections from observation students in northern Italy

ABSTRACT This article relates the experience of interruption to the infant observations of five student observers in AIPPI, Milan, due to the health emergency caused by Covid-19. It goes on to describe the resumption of observation by means of video-observations and, later, observations in person by observers-in-masks. The new ‘meeting’ of the families required great efforts from the students in finding an internal and external ‘relocation’ of the observer position. It also required working through the great frustration caused by the interruption. In parallel, the observed families also had to adjust to the new mode of meeting and had to take up a new position, usually more active, in handling the essential equipment for video connection. Last but not least, adaptation was required of the babies, who found creative, subjective and, at times, distressing ways to relocate themselves and to try to approach the observers. Despite the difficulties, all five of the observations were completed and, according to the observers it proved possible to be in touch with the babies’ internal worlds and to observe their growth and development up to two years of age, despite the unusual and ‘ground-breaking’ modes adopted.
Recent Advances on Materials for Lithium-Ion Batteries

Environmental issues related to energy consumption are mainly associated with the strong dependence on fossil fuels. To solve these issues, renewable energy sources systems have been developed as well as advanced energy storage systems. Batteries are the main storage system related to mobility, and they are applied in devices such as laptops, cell phones, and electric vehicles. Lithium-ion batteries (LIBs) are the most used battery system based on their high specific capacity, long cycle life, and no memory effects. This rapidly evolving field urges for a systematic comparative compilation of the most recent developments on battery technology in order to keep up with the growing number of materials, strategies, and battery performance data, allowing the design of future developments in the field. Thus, this review focuses on the different materials recently developed for the different battery components—anode, cathode, and separator/electrolyte—in order to further improve LIB systems. Moreover, solid polymer electrolytes (SPE) for LIBs are also highlighted. Together with the study of new advanced materials, materials modification by doping or synthesis, the combination of different materials, fillers addition, size manipulation, or the use of high ionic conductor materials are also presented as effective methods to enhance the electrochemical properties of LIBs. Finally, it is also shown that the development of advanced materials is not only focused on improving efficiency but also on the application of more environmentally friendly materials.
A Review on Outfit Fashion Recommendation System

With the quick rise in living standards, people's shopping passion grew, and their desire for clothing grew as well. A growing number of people are interested in fashion these days. However, when confronted with a large number of garments, consumers are forced to try them on multiple times, which takes time and energy. As a result of the suggested Fashion Recommendation System, a variety of online fashion businesses and web applications allow buyers to view collages of stylish items that look nice together. Clients and sellers benefit from such recommendations. On the one hand, customers can make smarter shopping decisions and discover new articles of clothes that complement one other. Complex outfit recommendations, on the other hand, assist vendors in selling more products, which has an impact on their business. FashionNet is made up of two parts: a feature network for extracting features and a matching network for calculating compatibility. A deep convolutional network is used to achieve the former. For the latter, a multi-layer completely connected network topology is used. For FashionNet, you must create and compare three different architectures. To achieve individualised recommendations, a two-stage training technique was created.
Decolorization of Azo Dyes in Dual-Chamber Bioelectrochemical Systems Seeding with Enriched Inoculum

Azo dyes pollution has attracted a major environmental concern due to their color and toxicity. In this study, we investigated a biocatalyzed electrolysis system (BES) with a bio-cathode seeding with enriched inoculum for the decolorization of a model azo dye, alizarin yellow R (AYR). The bio-cathode was inoculated with AYR autotrophic biodegrading consortium. Batch test results showed that the decolorization efficiency (DE) of AYR (100mg/L) reached to 93.2% within 58 hours with 0.5V power supplied and NaHCO3 (840 mg/L) as sole carbon source. Lower DEs of 83.5% and 70.7% were respectively observed in abiotic cathode BESs and bio-cathode BESs inoculated with mixed sludge. The result indicated that the enriched inoculum had a significant effect on the cathode performance. The azo bond cleavage of AYR resulted in the formation of p-phenylenediamine, p-nitraniline and 5-aminosalicylic acid. The decolorization efficiency was further enhanced under the optimized condition of pH (5.2), power supplied (0.5V) and initial AYR concentration (100mg/L), reaching up to 99.2 % within 48 hours with the bio-cathode BESs seeding with the enriched inoculum.
Expecting Mother Nature: Uncertain Hurricane Forecasts Disrupt Prenatal Care and Impair Birth Outcomes

Early forecasts give people in a storm's path time to prepare. Less is known about the cost to society when forecasts are incorrect. We examine over 700,000 births in the path of Hurricane Irene and find exposure led to a decrease in birth weights and increase in preterm and low birth weight outcomes. Additional warning time decreased preterm birth rates for women who experienced intense storm exposures documenting a benefit of avoiding a type II forecasting error. A larger share of this at-risk population experienced a type I forecasting error where severe physical storm impacts were anticipated but not experienced. Disaster anticipation disrupted healthcare services by delaying and canceling prenatal care leading to impaired birth outcomes. Recognizing storm damages depend on human responses to predicted storm paths is critical to supporting the next generation's developmental potential with judicious forecasts that ensure public warning systems mitigate rather than exacerbate climate damages.
Prevalence of Nephropathy Among Type Two Diabetes Patients in Eastern Mediterranean Region: a Systematic Review and Meta-analysis

Objectives: The high prevalence of diabetes leads to an increase in diabetic complications, and diabetic nephropathy as one them is a leading cause of end stage renal disease and renal replacement therapies. Individual studies on the prevalence diabetic nephropathy in Eastern Mediterranean region (EMR) showed the high prevalence of diabetic nephropathy. Therefore, we conducted a systematic review and meta-analysis of relevant studies to estimate nephropathy among type two diabetes patients in EMR. Method: We searched for the relevant keywords in title and abstract of Medline/PubMed, Scopus, Embase, and Web of knowledge, as well as Google Scholar and manual search to identify the published target studies from Jan 1st, 2000 to December 13, 2020. The two-step screening was carried out by two independent researchers and relevant data were extracted. Estimation of summary proportions, subgroup analysis, meta-regressions, and publication bias assessment were performed.Results: Amongst 3225 identified citations, 38 articles were entered into meta-analysis, involving 112,235 patients. We found that the prevalence of nephropathy in type two diabetes was 26.34% (95% confidence interval (CI)= 21.04%, 32%). Prevalence of nephropathy was 30.42% (95% CI= 23.38%, 37.94%) in males 22.1% (95% CI= 16.05%, 28.79%) in females. Low HDI countries and very high HDI countries had the lowest (21.17% (95% CI= 1.1%, 56.22%)) and the highest (30.93% (95% CI= 22.16%, 40.44%)) prevalence rates. The meta-regression analysis showed that HDI, publication year, mean duration of diabetes, mean age, and diagnostic test were not significant moderators (p = .3323, .7247, .2802, .2199, and .4680, respectively). Conclusions: We estimated a high prevalence of diabetic nephropathy in EMR. Our results implicate the importance of diabetes screening, on time and periodic examinations for nephropathy, diabetes care, and risk factor controls. Large-scale longitudinal studies should be conducted in EMR.
U.S. REIT INDUSTRY PROFITABILITY: A BENNET DECOMPOSITION OF INDUSTRY DYNAMICS

This paper considers the aggregate profitability performance of the REIT industry. The aggregate performance depends on the underlying microeconomic dynamics within an industry – the growth of individual REITs (the within effect), the reallocation between existing REITs (the between effect), the entry of new REITs (the entry effect), and the exit of the existing REITs (the exit effect). We apply an extended Bennet (1920) dynamic decomposition on the REIT industry’s return on equity (ROE) and study the annual data on U.S. Equity REITs for the 1989 to 2015 period and various REIT industry specific sub-sample periods. Bailey et al.’s (1992) and Haltiwanger’s (1997) dynamic industry performance decompositions are special cases of the Bennet decomposition. The “within” and “between” effects dominate the annual changes in this industry’s ROE. To the extent that our Equity REIT sample proxies for the FTSE NAREIT All Equity Index, our conclusions also relate to this index’s profitability performance between 1989 and 2015.
Mesoporous CoOx/C Nanocomposites Functionalized Electrochemical Sensor for Rapid and Continuous Detection of Nitrite

Nitrite is widespread in the environment, and is frequently used as an additive to extend the shelf life of meat products. However, the excess intake of nitrite can be harmful to human health. Hence, it is very important to know and control the content of nitrite in foodstuffs. In this work, by the means of self-assembly induced by solvent evaporation, we used the amphiphilic PEO-b-PS diblock copolymers resol and cobalt nitrate as a template to synthesize ordered mesoporous CoOx/C nanocomposites. Then, the CoOx/C nanocomposites were modified on a glassy carbon electrode (GCE), which showed excellent sensitivity, good selectivity, and a wide detection range for nitrite. Through cyclic voltammetry and current–time techniques, the electrochemical performance of the GCE modified with CoOx/C nanocomposites was analyzed. Under the optimized conditions, we found that anodic currents were linearly related to nitrite concentrations with a regression equation of lp (µA) = 0.36388 + 0.01616C (R2 = 0.9987) from 0.2 µM to 2500 µM, and the detection limit was 0.05 µM. Furthermore, the electrochemical sensor behaved with high reproducibility and anti-interference ability towards various organic and inorganic ions, such as NO3−, SO42−, Cl−, COOH− (Ac−), Na+, K+, Mg2+, and NH4+. Our results indicated that these CoOx/C nanocomposites could be applied in electrochemical sensors for the rapid and sensitive detection of the food preservative nitrite.
Diversity of Ectomycorrhizal Fungal Communities in Four Types of Stands in Pinus massoniana Plantation in the West of China

Ectomycorrhizal (ECM) fungi can form symbioses with plant roots, which play an important role in regulating the rhizosphere microenvironment. As a broad-spectrum ECM tree species, Pinus massoniana forms symbiotic relationship called mycorrhiza with various ECM fungal species. In this study, four types of forests were selected from a 38-year-old Pinus plantation in eastern Sichuan, namely, pure P. massoniana forest (MC), P. massoniana mixed with Cunninghamia lanceolata forest (MS), P. massoniana–Cryptomeria fortunei forest (ML), and P. massoniana–broadleaved forest (MK), the species mixture ratio of all forests was 1:1. The ITS2 segment of ECM root tip sequenced by high-throughput sequencing using the Illumina MiSeq sequencing platform. (1) The ECM fungi of these four P. massoniana forests showed similar dominant genera but different relative abundances in community structure during the three seasons. (2) The alpha diversity index of ECM fungi was significantly influenced by season and forest type. (3) Soil pH, soil organic matter (SOM), total nitrogen (TN), C/N ratio, and total phosphorus (TP) influenced the ECM fungal community structure in different seasons. In summary, there were significant differences in ECM fungal communities among different forest types and different seasons; the colonization rate of ECM fungal in P. massoniana–Cunninghamia lanceolata was the highest, so we infer that Cunninghamia lanceolata is the most suitable tree species for mixed with P. massoniana in three mixture forests.
Cardiopulmonary Exercise Testing and Pulmonary Function Testing for Predicting Aggravation of CTEPH

BackgroundCardiopulmonary exercise testing (CPET) and pulmonary function testing (PFT) are noninvasive methods to evaluate the respiratory and circulatory systems. This research aimed to evaluate and monitor chronic thromboembolic pulmonary hypertension (CTEPH) noninvasively and effectively. At the same time assess the predictive value of CPET and PFT parameters for the aggravation of CTEPH. MethodsWe used data from 86 CTEPH patients (55 for test set, and 31 for validation set) at the Shanghai Pulmonary Hospital Affiliated to Tongji University. The clinical, PFT and CPET parameters of mild, moderate and severe CPET patients classified according to PAP (mm Hg) were compared. Logistic regression analysis was performed to appraise the predictive value of each potential predictor for severe CTEPH. The performance of PFT and CPET parameters for predicting severe CTEPH was determined by receiver operating characteristic (ROC) curves and calibration curves.ResultsData showed that Load @ Peak (W), FEV1/FVC (%), and VE @ AT (L/min) were independent risk factors for severe CTEPH classified according to PAP (mm Hg). Additionally, the efficacy of the use of Load @ Peak (W), FEV1/FVC (%) and VE @ AT (L/min) in identifying severe CTEPH was found to be moderate with area under the curve (AUC) of ROC curves of 0.736, 0.696 and 0.769, respectively. Furthermore, combination with Load @ Peak (W), FEV1/FVC (%) and VE @ AT (L/min) had a moderate utility value in identifying severe CTEPH with an AUC of 0.897. ConclusionOur data suggests that PFT and CPET parameters can noninvasively and effectively evaluate, monitor and predict the aggravation of CTEPH.