bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accessibility and Availability of Smartphone Apps for Schizophrenia
Authors: Torous John , Kwon Sam , Firth Joseph , Joshi Devayani 
Published: September 2022

Abstract
App-based interventions have potential to enhance access to and quality of care for patients with schizophrenia. However, less is known about the current state of schizophrenia apps in research and how those translate to publicly available apps. This study, therefore, aimed to review schizophrenia apps offered on marketplaces and research literature with a focus on accessibility and availability. A search of recent reviews, gray literatures, PubMed, and Google Scholar was conducted in August 2022. A search of the U.S. iTunes and Google App Store was conducted in July 2022. All eligible studies and apps were systematically screened/reviewed. The academic research search produced 264 results; 60 eligible studies were identified. 51.7% of research apps were built on psychosis-specific platforms and 48.3% of research apps were built on nonspecific platforms. 83.3% of research apps offered monitoring functionalities. Only nine apps, two designed on psychosis-specific platforms and seven on nonspecific platforms were easily accessible. The search of app marketplaces uncovered 537 apps; only six eligible marketplace apps were identified. 83.3% of marketplace apps only offered psychoeducation. All marketplace apps lacked frequent updates with the average time since last update 1121 days. There are few clinically relevant apps accessible to patients on the commercial marketplaces. While research efforts are expanding, many research apps are unavailable today. Better translation of apps from research to the marketplace and a focus on sustainable interventions are important targets for the field.
Cloud Service Insurance: An Approach to Ensure Service Quality for Consumers
Authors: Bhattacharya Adrija , Choudhury Sankhayan 
Published: September 2022

Abstract
In a cloud environment, providers commit to offer the required services with specified quality metric value, as negotiated through service level agreement. But in real life scenario, often the services are not offered with committed QoS, even some quality metric may be dropped in run time. It may not be an acceptable solution for a consumer, especially in a safety critical system. We have proposed a solution to come out from this situation. The proposal is a new concept, called “Service Insurance” through which the desired quality level can be maintained against some additional payment i.e. “insurance premium”. The major contribution of the paper is to express the quality of a service in terms of underlying factors and the subsequent computation of dynamic premium amount. Another contribution is to guide the providers for re-gaining the deviated quality metric value, in case of quality metric deviation in run time. Key performance indicators are identified and the deviated quality metrics are regained through the tuning of KPIs. The entire concept is executed on a benchmark data set and the effectiveness of the mechanism is established through the validation of the hypothesis.
Gray mold and anthracnose disease detection on strawberry leaves using hyperspectral imaging
Authors: Zhang Baohua , Tan Qianqiu , Yu Shuwan , Liu Yuchen , Ou Yunmeng , Qiu Wei 
Published: September 2022

Abstract
Background
Gray mold and anthracnose are the main factors affecting strawberry quality and yield. Accurate and rapid early disease identification is of great significance to achieve precise targeted spraying to avoid large-scale spread of diseases and improve strawberry yield and quality. However, the characteristics between early disease infected leaves and healthy leaves are very similar, making the early identification of strawberry anthracnose and gray mold still challenging.
Results
Based on hyperspectral imaging technology, this study explored the potential of combining spectral fingerprint features and vegetation indices for early detection of strawberry leaf diseases. The CARS algorithm and ReliefF algorithm were used for the extraction of spectral fingerprint features and vegetation indices, respectively. Three machine learning models, BPNN, SVM and ELM, were developed for the early identification of strawberry anthracnose and gray mold, using spectral fingerprint features, vegetation index features and their combined features as inputs respectively. The results showed that the combination of spectral fingerprint features and vegetation index features had better recognition accuracy compared with individual features as inputs, and the accuracies of the three classifiers were 97.78%, 94.44%, and 93.33%, respectively. This indicates that the fused features approach proposed in this study can effectively improve the early detection performance of strawberry leaf diseases.
Conclusions
This study provides a basis for the development of a rapid online detection and real-time monitoring system for fruit diseases.
Development of Branch Retinal Vein Occlusion Following COVID-19 Vaccination and Subsequent SARS-CoV-2 Infection While Taking Oral Contraceptives
Authors: Muto Tetsuaya , Sakamoto Masaaki , Machida Shigeki , Shinichiro Imaizumi , Hamada Yoshinobu , Kamoi Koju 
Published: September 2022

Abstract
Objectives
Oral contraceptive use, vaccination for coronavirus disease 2019 (COVID-19), and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are all risk factors for venous thromboembolism (VTE). Although, in general, branch retinal vein occlusion (BRVO) develops during the mid-60s in general, we present a case of BRVO caused by the abovementioned risk factors in a young woman. To the best of our knowledge, this is the first report about BRVO associated with oral contraceptives, COVID-19 vaccination, and SARS-CoV-2.
Case presentation:
A 21-year-old woman was referred to us after experiencing loss of visual acuity in her right eye from 10 days ago. She had been using oral contraceptives for 2 years for paramenia before noticing her ophthalmological symptoms. Despite having received two does of the mRNA COVID-19 vaccine, she had contracted COVID-19 with fever, sore throat, cough, low back pain, and general malaise about 40 days before the initial visit. However, only the cough persisted for a month. The right eye showed BRVO with macular edema (ME). She did not smoke or have diabetes mellitus or systemic hypertension. The result of blood test was normal, including the cardiolipin antibody IgG. She was treated with an intravitreal aflibercept injection immediately. The right fundus showed rapid improvement in the resolution of ME.
Conclusions
The combination of oral contraceptive use, COVID-19 vaccination, and subsequent SARS-CoV-2 infection could accelerate VTE, thereby leading to BRVO. Given that cases of COVID-19 have increased globally, patients with RVO who use oral contraceptives are likely to be encountered more frequently.
Complete genome sequence of multi-drug resistant Klebsiella quasipneumoniae isolated for the first time from a wastewater treatment plant in Slovenia
Authors: Gonçalves José , Koritnik Tom , Bosilj Martin , Mioc Verica , Trkov Marija , Paragi Metka 
Published: September 2022

Abstract
Objectives
This study reports the isolation and genomic characterization of two novel multidrug-resistant isolates of Klebsiella quasipneumoniae, isolated from a municipal wastewater treatment plant in Slovenia.
Methods
Both genomes were sequenced on an Illumina MiSeq platform. De novo genome assembly was performed using Velvet 1.2.10. The genomes were annotated using RAST tool kit (RASTtk). The resistome was identified using tools available from the Center for Genomic Epidemiology.
Results
High-quality contigs were obtained using and both belong to the MSLT ST 138. KB-61219-C generated 196 contigs and an estimated genome length of 5.958.270 bp. KB-161219-D generated 197 contigs and an estimated genome length of 5.955.847 bp.
Conclusion
This study reports the isolation and genomic characterization of two novel multidrug-resistant isolates of Klebsiella quasipneumoniae, isolated from a municipal wastewater treatment plant in Slovenia.
The Klotho-FGF23 axis and cardiovascular outcomes in diabetic patients with chronic limb threatening ischemia: a prospective study
Authors: Biscetti Federico , Rando Maria Margherita , Cecchini Andrea Leonardo , Nicolazzi Maria Anna , Angelini Flavia , Iezzi Roberto , Eraso Luis H , Dimuzio Paul J , Pitocco Dario , Gasbarrini Antonio , Massetti Massimo , Flex Andrea 
Published: September 2022

Abstract
Cardiovascular complications after lower extremity revascularization (LER) are common in diabetic patients with peripheral arterial disease (PAD) and chronic limb threatening ischemia (CLTI). The Klotho-FGF23 axis is associated with endothelial injury and cardiovascular risk. We aimed to analyze the relationship between Klotho-FGF23 serum levels and the incidence of major adverse cardiovascular events (MACE) and major adverse limb events (MALE) after LER in diabetic patients with PAD and CLTI. Baseline levels of Klotho, and FGF23, and their association with subsequent incidence of MACE and MALE were analyzed in a prospective, non-randomized study in a population of diabetic patients with PAD and CLTI requiring LER. A total of 220 patients were followed for 12 months after LER. Sixty-three MACE and 122 MALE were recorded during follow-up period. Baseline lower Klotho serum levels (295.3 ± 151.3 pg/mL vs 446.4 ± 171.7 pg/mL, p < 0.01), whereas increased serum levels FGF23 (75.0 ± 11.8 pg/mL vs 53.2 ± 15.4 pg/mL, p < 0.01) were significantly associated with the development of MACE. ROC analysis confirmed the predictive power of the Klotho-FGF23 axis. Furthermore, decreased Klotho serum levels were associated with the occurrence of MALE after LER (329.1 ± 136.8 pg/mL vs 495.4 ± 183.9 pg/mL, p < 0.01). We found that Klotho-FGF23 axis imbalance is a potential biomarker for increased cardiovascular risk after LER in diabetic patients with PAD and CLTI.
The Combination of Estradiol and N-acetylcysteine improves folliculogenesis and angiogenesis of mice ovarian autografts by reducing inflammation and oxidative stress
Authors: Ebrahimi Fatemeh , Zavareh Saeed , Nasiri Meysam 
Published: September 2022

Abstract
Ischemia/Reperfusion injuries are important issues after ovarian transplantation. Our study examined the effects of N-acetylcysteine (NAC) and estradiol (E2) on mouse ovarian autografts. Mice (6–8 weeks) were divided into ovarian autograft as follows: Control: fresh ovarian tissue autograft; Sham: cryopreserved/warmed ovarian tissue V; NAC: cryopreserved/warmed ovarian tissue autograft with NAC treatment; E2: cryopreserved/warmed ovarian tissue autograft with E2 treatment; NAC + E2: cryopreserved/warmed ovarian tissue autografts with the treatment of NAC and E2. In all groups, grafts were harvested on days 2, 7, and 28 after transplantation to evaluate histological parameters, inflammation relative to genes expression, and oxidative status. Histological analysis showed that NAC, E2 and a combination of NAC&E2 significantly increased the primordial, preantral, and antral follicular number. When NAC was used, it significantly reduced the expression of Tnf-α and Fgf-2, while increased Il-1β, Il-6, and Vegf expression levels. The levels of Il-6, Fgf-2, and VEGF were dramatically increased in the E2- treated group. The Combination of NAC and E2 significantly increased levels of Il-1β, Il-6, Fgf-2, and Vegf. NAC and E2 alone or in combination, significantly increased total antioxidant capacity but did not affect the superoxide dismutase and glutathione peroxidase activities. In conclusion, after transplantation, NAC and E2 alone or in combination, could improve follicular development and angiogenesis as well as decline inflammation and ovarian oxidative damage.
Minimum capital requirement and portfolio allocation for non-life insurance: a semiparametric model with Conditional Value-at-Risk (CVaR) constraint
Authors: Staino Alessandro , Russo Emilio , Costabile Massimo , Leccadito Arturo 
Published: September 2022

Abstract
We present an optimization problem to determine the minimum capital requirement for a non-life insurance company. The optimization problem imposes a non-positive Conditional Value-at-Risk (CVaR) of the insurer's net loss and a portfolio performance constraint. When expressing the optimization problem in a semiparametric form, we demonstrate its convexity for any integrable random variable representing the insurer's liability. Furthermore, we prove that the function defining the CVaR constraint in the semiparametric formulation is continuously differentiable when the insurer's liability has a continuous distribution. We use the Kelly-Cheney-Goldstein algorithm to solve the optimization problem in the semiparametric form and show its convergence. An empirical analysis is carried out by assuming three different liability distributions: a lognormal distribution, a gamma distribution, and a mixture of Erlang distributions with a common scale parameter. The numerical experiments show that the choice of the liability distribution plays a crucial role since marked differences emerge when comparing the mixture distribution with the other two distributions. In particular, the mixture distribution describes better the right tail of the empirical distribution of liabilities with respect to the other two distributions and implies higher capital requirements and different assets in the optimal portfolios.
Application of machine learning algorithms to forecast prices of Sardinella brasiliensis commercialized in a South American supply center
Authors: França Vinícius Fellype Cavalcanti , Oliveira Luan Diego , Andrade¹ Humber Agrelli 
Published: September 2022

Abstract

Small pelagic fishes develop important role in human nutrition especially in emergent countries which are considered an affordable source of protein ensuring food security, and with its fishery being source of income for several populations around the world. Despite fish nutritional composition present several benefits for human health, prices are pointed as the main factor to choose seafood as components of diet, highlighting the relevance of the economic analysis of these items once disturbances in its prices might alter the feeding patterns of populations worldwide. This study aimed to analyze the Brazilian Sardine (Sardinella brasiliensis) prices dynamics in one of the main markets of northeastern Brazil, evaluate possible reasons for its peaks and use machine learning techniques to forecast its future prices. The dataset used was obtained in the Pernambuco Supply and Logistics Center (PSLC) website, which contains a historical series of sardine’s prices from 2013 to 2022. The dataset was divided in train and test sections, the train section modelled using the Fbprophet library and a long-short term memory neural network in order forecast the future prices, then the test dataset was used to evaluate the predictions based in the root mean square error, mean absolute error and mean absolute percentage error metrics. Both algorithms reached low error metrics in its forecasts, however LSTM predictions were significantly better presenting lower error metrics than Fbprophet, showing their usability in the economic context of marine sciences opening the door to further studies of the dynamics of food prices around the world.
Assessment of future urban water demand and supply under socioeconomic scenarios: a case of Assosa town
Authors: Saketa Yadeta 
Published: September 2022

Abstract
Water scarcity is becoming a progressively more serious global issue. Assosa town in Ethiopia faces serious water scarcity problems due to rapid population growth and urban expansion. This study aims to model the water demand of Assosa town using a forecasting model. Four scenarios were developed: population growth, living standards, water loss reduction, and a combination of these. The water demand and unmet demands for each scenario were evaluated. Results show that the demand for water and supply will vary significantly if the present state continues. In the base year (2018), the overall water demand is 2.07 gigalitres (GL) and the unmet demand is estimated as 0.096 GL. The water demand grows to 3.71 GL under the reference scenario in 2035. The combination of population growth and improved living standard scenarios is observed to impact greatly on water demand. The total water demand of this scenario was estimated to be 7.14 GL latterly in the projection period and the unmet demand would grow to 5.2 GL. The results confirmed that improved water management approaches are needed in the town to ensure the sustainability of water resources in the long term and outline proper water utilization policies.
Study on the performance of sewage sludge biochar modified by nZVI to remove Cu(II) and Cr(VI) in water
Authors: Kang Xudong , Xiao Feiyu , Zhou Sihai , Zhang Qiuya , Qiu Liwei , Wang Liping 
Published: September 2022

Abstract
In this study, to simultaneously dispose of sludge and wastewater containing heavy metals, sludge biochar loaded with nano zero-valent-iron (nZVI) was prepared at 700 °C (nBC700) to remove Cr(VI) and Cu(II). The results showed the removal capacity of biochar was greatly improved by loading nZVI, and the adsorption capacities of biochar for Cu(II) and Cr(VI) increased by 251.96% and 205.18%. Pseudo-second-order kinetic and Sips isotherm models were fitted to the removal processes. Intraparticle diffusion models showed the removal process was controlled by surface diffusion and intraparticle diffusion. Competitive experiments showed Cr(VI) can compete with Cu(II) for active sites, but Cr(VI) was more easily removed by nBC700 through cation bridge. The removal mechanism illustrated removing Cu(II) mainly depended on complex precipitation, followed by reduction reaction, while Cr(VI) was on the contrary. This work provided effective data for sludge disposal and heavy metal removal.
Structure-Based Drug Design: Progress Toward the Discovery of the Elusive Bradykinin Receptor Antagonists
Authors: Kyle Donald J. 
Published: September 2022

The de nova design of a non-peptide bradykinin receptor antagonist (or the optimization of a lead discovered by random screening) will ultimately require knowledge about the receptor topology. In the absence of an experientally-determined structure of the bradykinin-bradykinin receptor complex, we have attempted to gain insights from other sources. Specifically, we have synthesized conformationally constrained lignads, and completed extensive computer modeling and mutagenesis experiments on the bradykinin receptor. For the former, the recently reported hydroxyproline ether­ containing peptides have been useful in mapping the bradykinin receptor topology. Moreover, using systematic synthetic modifications, we have explored the relative importances of selected amide bonds	1
and side chains in second generation peptides and have made a series of	and/or N-methyl	1
substitutions at positions four and five which led to the discovery of two new cyclic peptide antagonists.	1
For the latter, computational simulations led to a proposed model of bradykinin bound to its receptor which was found to be in good agreement with mutagens is results. This model led ultimately to the design and synthesis of D-Arg0-Arg 1 -(12-
aminododecanoy1)2-Ser3-D-Tic4-0ic5-Arg6, a pseudo-peptide leading into a third generation of antagonists. Further improvements in tis lead structure were achieved via combinatorial non-peptide libraries.
Patient Care and Treatment Strategies for Skin Diseases in Sub-Saharan Africa: Role of Traditional and Western Medicines
Authors: Sharma Astha , Malviya Rishabha , Sundaram Sonali , Verma Swati , Fuloria Neeraj Kumar , Fuloria Shivkanya , Sekar Mahendran , Mishra Neelesh , Meenakshi Dhanalekshmi Unnikrishnan 
Published: September 2022

Abstract:The perspective of the people of Sub-Saharan Africa (SSA) toward both traditional and western healthcare systems varies. The goal of the current study is to examine the SSA's unique skin disease health care system. This study comprises numerous research that sought to examine how the general public feels about the SSA's current healthcare system. In this review, common skin conditions, such as atopic dermatitis, buruli ulcers, dermatophytosis, and scabies, are addressed. According to this report, government agencies must pay particular attention to skin illnesses in SSA and raise public awareness. Availability of medical care, socioeconomic factors, degree of education, and other factors influence patients’ attitudes toward traditional and western health care differently in different geographic areas. Facts suggest that self-medication is the preference of the majority of patients before seeking dermatological care. The present study concludes that the magnitude of skin diseases is neglected or underestimated in many regions of SSA. Also, western healthcare facilities of many regions of SSA are not up to the mark. The present study recommends that proper access to the health care system and awareness about skin diseases through various government programs can be helpful in the regulation of skin disorders among people of SSA.
An Overview of Medicinal Importance, Pharmacological Activities and
Analytical Aspects of Fraxin from Cortex fraxinus
Authors: Patel Dinesh Kumar , Patel Kanika 
Published: September 2022

Background:
Medicinal plants and their derived products have been used in the medical field for the treatment of human diseases from a very early age. Phytoproducts, including numerous pure phytoconstituents have been used for the treatment of human health complications. Coumarin is a pure phytoconstituent of benzopyrone family derivatives. Fraxin is a coumarin glucoside found to be present in the bark of Fraxinus excelsior L. Fraxin has numerous physiological functions in medicine mainly due to its anti-inflammatory, anti-oxidant, hepatoprotective and analgesic activity.

Methods:
The present review mainly focuses on the medicinal importance, pharmacological activities and analytical aspects of fraxin. Pharmacological activities of fraxin have been reviewed in the present work through literature data analysis of different scientific research works. Analytical methods developed for the qualitative and quantitative analysis of fraxin in herbal drugs have been reviewed in the present work through scientific data analysis of different research works. Electronic databases such as PubMed, Science Direct, Google Scholar and Scopus have been searched in the present work in order to collect scientific information on fraxin.

Results:
Present paper summarized the biological importance, therapeutic benefit and pharmacological activities of fraxin in medicine. Scientific data analysis of different literature work revealed the biological importance and therapeutic benefit of fraxin in medicine. The biological importance of fraxin in medicine was mainly due to its significant effect on acute respiratory distress syndrome, hepatotoxicity, inflammation, oxidative stress, acute kidney injury, osteoarthritis, liver damage and tumor. Further pharmacokinetic data on fraxin were also collected and discussed in the present work to know the plasma drug concentration profile of fraxin. Analytical data of the present paper will be beneficial for the development of newer and effective analytical tools for the quantitative estimation of fraxin in different biological samples. However, scientific experiments on fraxin in the clinical use should be developed to scientifically validate the medicinal uses of fraxin.

Conclusion:
Present paper will be beneficial to all the scientific people in the biological field to know the therapeutic benefit of fraxin against various forms of human disorders.