bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social inclusion revisited: sheltered living institutions for people with intellectual disabilities as communities of difference
Authors: Bredewold Femmianne , van der Weele Simon 
Published: December 2022

AbstractThe dominant idea in debates on social inclusion of people with intellectual disabilities is that social inclusion requires recognition of their ‘sameness’. As a result, most care providers try to enable people with intellectual disabilities to live and participate in ‘normal’ society, ‘in the community’. In this paper, we draw on (Pols, Medicine Health Care and Philosophy 18:81–90, 2015) empirical ethics of care approach to give an in-depth picture of places that have a radically different take on what social inclusion for people with intellectual disabilities looks like: places known as ‘sheltered living institutions’. We argue these places can be seen as ‘communities of difference’ catered to the specific needs and capacities of the residents. We then contend that these communities raise questions about what a good life for people with intellectual disabilities looks like and where and how it ought to be realised; questions not posed very often, as they get muzzled by the dominant rhetoric of normalisation and the emphasis on sameness.
Looking for COVID side effects in the EU through the analysis of health and behavioural profiles
Authors: Grané Aurea , Albarrán Irene , Peran Diego 
Published: December 2022

AbstractMore than two years after the great outbreak of COVID suffered in almost the whole world, and in particular in Europe, we have gradually learned about the direct effects of this virus on our health and what consequences it can have if we become infected. However, this pandemic also had great economic and social consequences that affected people in an indirect way, which we can call COVID side effects. In this work we carried out an innovative type of analysis based on the concept of archetypoids in order to find extreme observations in a database of mixed-type data and used them to classify individuals yielding to different health and behavioural profiles in coping with the COVID outbreak in the EU. We use data from the first COVID-19 Survey of the SHARE project (Survey on Health, Aging and Retirement in Europe). The resulting profiles are easier to interpret than others based on central observations, and help to understand how the situations of restrictions and lock-downs affected people since the outbreak of the pandemic. Another key point of the work was to analyse how determinant are some aspects such as gender, age group or even geographical location in how each person experienced the pandemic. The method that we propose is wide enough to be used in other health and wellbeing surveys.
Native and invasive bunchgrasses have different responses to trail disturbance on California coastal prairies
Authors: Luong Justin C. , Villanueva Elisha M. , Bauman Tori A. 
Published: December 2022

AbstractEcosystems often experience small-scale disturbances through recreational foot and bike traffic. The intermediate disturbance hypothesis predicts that frequent disturbances in grasslands can negatively impact native species and lead to invasion by disturbance-adapted, non-native species. Disturbance studies often examine intentional or unintended larger scale disturbances, but do not commonly focus on common small-scale disturbances such as those caused by trampling along trails. As such, we were interested in how trail disturbance affects the vegetative growth and reproductive output ofin situnative (Danthonia californicaBol. andStipa pulchraHitchc.) and invasive (Dactylis glomerataL. andHolcus lanatusL.) perennial bunchgrasses commonly found on California coastal prairies. We measured the basal circumference and seed production of plants located on-trail and off-trail on five coastal prairies in Santa Cruz, CA, USA. We hypothesized that native grasses located on-trail would have lower growth and reproductive output and non-native grasses would be unaffected. We found that native and non-native plants had differences in growth and reproductive output on-trail and off-trail.S. pulchrahad lower reproductive potential (via culm sterility) with trail disturbance, whereas both native grasses showed evidence of compensatory growth on-trail. Invasive non-nativeD. glomerataandH. lanatusgrowth was unaffected by trail disturbance, butH. lanatushad lower reproductive output on-trail. Results suggest that it may be prudent to restore trails with disturbance tolerant species likeD. californicaand use less tolerant species likeS. pulchrafurther into the central habitat space.
Subclinical and latent cardiac dysfunction in obstructive sleep apnea and effectiveness of continuous positive airway pressure
Authors: Kanda Takahiro , Tawarahara Kei , Kato Haruta , Ishibashi Humimaro , Nakamura Naoki , Tokonami Yuki , Matsukura Gaku , Ozeki Mariko , Ukigai Hiroshi , Takeuchi Ryosuke 
Published: December 2022

Abstract
Purpose
Obstructive sleep apnea (OSA) is associated with various cardiovascular disorders. This study aimed to investigate the effects of OSA on left ventricular (LV) function in patients with OSA who were at risk for heart failure but who had not yet developed structural heart changes. The study also sought to determine the effects of continuous positive airway pressure (CPAP) in these patients.

Methods
In a retrospective study, consecutive patients with polysomnographic OSA (apnea-hypopnea index [AHI] >5) were categorized into mild (AHI < 15), moderate (15 ≤ AHI < 30), and severe OSA (AHI ≥ 30) groups. The subjects were patients with OSA and at risk for heart failure who had not yet developed structural heart changes. All study participants underwent echocardiography and two-dimensional speckle tracking analysis, and their global longitudinal strain (GLS) was calculated.

Results
Of 275 patients, there were 31 with mild, 92 with moderate, and 152 with severe OSA. Of patients with moderate to severe OSA (AHI ≥ 20), 206 started CPAP and 92 patients underwent follow-up echocardiogram and speckle tracking echo analysis (median period of CPAP use: 283 days [258 to 391]). GLS was significantly reduced in patients with moderate and severe OSA compared with mild OSA (−17.8±3.1 vs. −18.0±2.6 vs. −19.3±2.8%, p=0.038). The proportion of patients with GLS ≥ −18% was significantly higher among the patients with moderate to severe OSA than among those with mild OSA. GLS improved after CPAP therapy in patients with moderate to severe OSA (GLS: −18.1±2.7% to −19.0±2.8%, p=0.004). Significant improvement in GLS was confirmed, particularly among patients with good CPAP adherence.

Conclusion
Moderate to severe OSA is associated with LV dysfunction and can be significantly improved by CPAP therapy.
Composite nanofiber formation using a mixture of cellulose acetate and activated carbon for oil spill treatment
Authors: Elmaghraby Nehad A. , Omer Ahmed M. , Kenawy El-Refaie , Gaber Mohamed , Ragab Safaa , Nemr Ahmed El 
Published: December 2022

Abstract
Oil and organic pollutants are significant disasters affecting the aquatic ecosystem and human health. A novel nanofiber composite from cellulose acetate/activated carbon (CA/AC) was successfully fabricated by the electrospinning technique. CA/AC nanofiber composites were prepared from 10% (w/v) polymer solutions dissolving in DMA/acetone ratio 1:3 (v/v) with adding three different percentages of AC (3.7, 5.5, and 6.7%) to the total weight of CA. The prepared CA/AC nanofiber composite morphology reveals randomly oriented bead-free fibers with submicron fiber diameter. CA/AC nanofiber composites were further characterized by TGA, DSC, and surface area analysis. Water uptake was investigated for fabricated fibers at different pH. Oil adsorption was conducted in both static (oil only) and dynamic (oil/water) systems to estimate the adsorption capacity of prepared composites to treat heavy and light machine oils. The results showed increased oil adsorption capacity incorporating activated carbon into CA nanofiber mats. The maximum sorption capacity reached 8.3 and 5.5 g/g for heavy and light machine oils obtained by CA/AC5.5 (AC, 5.5%). A higher oil uptake was reported for the CA/AC composite nanofibers and showed a constant sorption capacity after the second recycles in the reusability test. Of isotherm models, the most applicable model was the Freundlich isotherm model. The result of kinetic models proved the fit of the pseudo-second-order kinetic model to the adsorption system.
A Perception-Augmented Hidden Markov Model for Parent–Child Relations in Families of Youth with Type 1 Diabetes
Authors: Lu Ruijin , Nansel Tonja R. , Chen Zhen 
Published: December 2022

AbstractIn youth with Type 1 diabetes, adherence to medical treatment regimens requires the involvement of both parent and child. A clinic-integrated behavioral intervention in the Family Management of Diabetes (FMOD) trial was shown to be effective in controlling deterioration in glycemic level; yet the mechanism remains unknown. It is possible that the effectiveness is through improved parent–child relation. To investigate whether the intervention improves parent–child relations, we proposed a novel approach that allows differential perceptions of parent and child toward the unobserved parent–child relationship. Leveraging manifesto data collected from both parent and child in the FMOD trial, the proposed approach extended a standard hidden Markov model by inserting a layer of parent- and child-specific hidden states. We took a Bayesian perspective to estimation and developed an efficient computational algorithm to sample from the joint posterior distribution. Extensive simulations were conducted to demonstrate the performance of the proposed modeling framework. Application to the FMOD trial data reveals that families in the intervention arm are more likely to stay in the Harmonious parent–child relation state and less likely to transition from Harmonious to Indifferent state. Compared to parent, child tends to have a more heterogeneous perception of the parent–child relation.
One Website to Gather them All: Usability Testing of the New German SKin Cancer INFOrmation (SKINFO) Website—A Mixed-methods Approach
Authors: Steeb Theresa , Brütting Julia , Reinhardt Lydia , Hoffmann Julia , Weiler Nina , Heppt Markus V. , Erdmann Michael , Doppler Astrid , Weber Christiane , Schadendorf Dirk , Meier Friedegund , Berking Carola ,   on behalf of the German Skin Cancer Council
Published: December 2022

AbstractSkin cancer patients increasingly search the internet to acquire disease-related information. However, information on the internet may be misleading. Recently, SKINFO has been launched, a website exclusively created for German-speaking skin cancer patients providing information as well as additional resources of verified quality. Here, we describe the results of the first usability test of SKINFO using a mixed-methods approach. Ten adult patients with skin cancer were recruited for usability testing in the skin cancer units of the University Hospitals of Erlangen and Dresden, Germany. Testing consisted of three different scenarios where patients were asked to find specific information on the SKINFO website guided by the think-aloud method. Descriptive analysis and content analyses were performed. All patients would recommend SKINFO and appreciated its content, design, and structure. Think-aloud analysis identified the topics layout, navigation, and content and structure which would benefit from refinement. Major criticism included the navigation through the website, and the desire for more specific information addressing patients’ relatives and the latest, up-to-date information. Overall, usability testing showed that the unique web-based information platform has the potential to support patients coping with skin cancer and thus strengthen informed decision-making.
Preparation of nano zero-valent aluminum for one-step removal of methylene blue from aqueous solutions: cost analysis for scaling-up and artificial intelligence
Authors: Sadek Ahmed H. , Mostafa Mohamed K. 
Published: December 2022

AbstractMethylene blue (MB) is a heterocyclic aromatic dye that is difficult to biodegrade due to its complex chemical structure. In this study, chemically prepared nano zero-valent aluminum (nZVAl) was investigated for the first time for one-step removal of MB from aqueous solutions under different experimental factors (pH, dosage, time, MB concentration, stirring rate, temperature, detergents, and ionic strength). The prepared nZVAl material was characterized using XRD, TEM, SEM, EDS, and FTIR. Results indicated that at an initial MB concentration of 10 mg/L, pH 10, nZVAl dosage 1.0 g/L, stirring rate 200 rpm, and temperature 30 °C, the removal efficiency of approximately 99.0% was achieved within an equilibrium time of 90 min. An improvement in MB removal efficiency was observed in the presence of inorganic salts, while the presence of detergents resulted in a reduction in MB removal efficiency. The isotherm adsorption data were best fitted by the Freundlich isotherm model (R2: 0.9569), while the kinetic data were well described by the pseudo-second-order (PSO) model (R2: 0.9999). Based on the thermodynamic study, the MB adsorption process is physically diffusion-controlled. The adsorption of MB onto nZVAl was accurately described using an artificial neural network (ANN) with a structure of 11–10–1 and R2 of 0.97. The overall cost of scaling up the adsorption unit to be used for MB removal from aqueous solutions under the optimum conditions is about US$1.31/m3. Consequently, this study opens the door for other researchers to test nZVAl in treating real textile wastewater.
Effect of different managements with drip irrigation (tape)
Authors: Amini Najafabadi Mazaher , Fatahi Nafchi Rouhallah , Salami Hamidreza , Vanani Hamid Raeisi , Ostad-Ali-Askari Kaveh 
Published: December 2022

AbstractConventional irrigation methods to new methods have been altered with respect to reduction of water resources and climate change. Considering the corn cultivation development, applying modern irrigation methods namely drip irrigation with the aim of improving the efficiency of water consumption as well as the zone under cultivation has been investigated. In this research, the performance of corn (SC 704) in various managements of drip irrigation (by strip method) both in single-row and double-row planting patterns was considered with a variety of densities. This test was carried out on random complete blocks in the form of a 3-repetitive Split Design in Isfahan-Iran during the years 2018–2019. Four irrigation levels containing: 80, 100 and 120% of full water requirement with drip irrigation (strip) and 100% of water requirement with normal drip irrigation were utilized. The results indicated that applying the aforementioned drip tapes and different surface treatments with soil and water monitoring, the water consumption of corn seasonal irrigation can be saved by 81, 71, 61, 52 and 36% compared to normal drip irrigation without soil, water and root monitoring, respectively. Seasonal yield (Kc), the yield response coefficient (Ky), and pan coefficient (Kp) for corn were 0.80, 0.76 and 0.97, respectively.
4E investigation of solar-driven RO and RRO osmotic desalination systems from water, energy, and environment relevance perspective: a comparative approach
Authors: Naminezhad Alireza , Mehregan Mahmood 
Published: December 2022

AbstractIn this paper, two osmotic desalination systems, namely, plug reverse osmosis (RO) and recirculation reverse osmosis (RRO) systems integrated with solar and organic Rankine cycle (ORC), have been presented. These systems are modeled and optimized from energy, exergy, economic, and environmental perspectives. The objective functions are the concentration disposal index (CDI) and unit cost of the product (fresh water) (UPC). The results show that the RO cycle has an optimal configuration grounded on max (CDI) and min (UPC). At identical UPC, the environmental effects of the RO system were less than those of the RRO. This is attributed to higher recovery with increasing temperature of discharged water into the sea in a smaller area and at a higher rate. For the RO system, the values for CDI, exergy efficiency, and fresh water production are 0.193, 45.6%, and 13.1 m3/h for R245ca fluid. Also, the share of RO and RRO in the total TAC costs is 19.44% and 17.33%, respectively. The R245ca working fluid is selected for both cycles, which is more productive than the other fluids. The results show that more than 50% recovery is achieved for the SW30HR-320 membrane at the optimum for the RO system.
Reactive red-141 removal from synthetic solutions by γ-Al2O3 nanoparticles: process modeling, kinetic, and isotherm studies
Authors: Bonyadi Ziaeddin , Fouladi Zeinab , Robatjazi Akram , Zahmatkesh Anbarani Mohaddeseh 
Published: December 2022

AbstractAzo dyes can cause problems such as allergies, mutagenicity, allergies, and carcinogenesis in humans in addition to having ecological effects in aquatic environments. This study emphasizes the removal of RR-141 by γ-Al2O3 NPs from the aqueous solution. To obtain the optimum conditions of RR-141 removal using the BBD model, the main factors such as the initial RR-141 level (10–70 mg/L), pH (3–9), contact time (10–70 min), and γ-Al2O3 NPs dose (0.2–0.8 g/L) were tested. According to the quadratic model, the highest removal rate (97.74%) was found at the pH of 4.81, the contact time of 51.61 min, the γ-Al2O3 NPs dose of 0.38 g/L, and the RR-141 level of 10 mg/L. The RR-141 removal follows the pseudo-second-order and Langmuir models. The highest absorption capacity for RR-141 was 40.65 mg/g. The results of this study showed that γ-Al2O3 NPs significantly removed RR-141 from aqueous solution.
Assessment of heavy metal pollution in water and its effect on Nile tilapia (Oreochromis niloticus) in Mediterranean Lakes: a case study at Mariout Lake
Authors: El-Degwy Amira A. , Negm Nabel A. , El-Tabl Abdou S. , Goher Mohamed E. 
Published: December 2022

AbstractMariout Lake is one of the Northern Nile-Delta Lakes in Egypt that receives agricultural, industrial and domestic effluents through several drains. The present study aims to evaluate the levels of some heavy metals (HMs) in water and edible parts of Oreochromis niloticus in Mariout Lake, in addition to studying several pollution indices and potential human health risks. The levels of the studied HMs in water were in the order of Fe > Zn > Mn > Pb > Cu > Ni > Cd. However, results of the pollution index, that concerns the effect of individual metal, concluded that Cd and Pb in water had serious pollution effects for aquatic life, while Cu, Fe, Mn, Ni, and Zn had not any pollution effects at different locations in the lake. The indices of the composite effects of all HMs (Metal Index and Heavy Metal Pollution Index) indicated the high pollution of Mariout Lake water, which may cause adverse effects on fish and different aquatic organisms. On the other side, the bioaccumulation factors of HMs in edible parts of O. niloticus were in the order of Zn > Cd > Cu > Ni > Pb > Mn > Fe. Although the target hazard quotient for all metals was less than the non-hazardous limit (THQ < 1), the non-carcinogenic hazard index (HI = 1.24) was classified in the moderate hazard risk level (1 < HI < 10) indicating low potential adverse effects on the exposed population due to consumption of O. niloticus caught from Mariout Lake.
Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS
Authors: Mohammed Khabat Star , Shabanlou Saeid , Rajabi Ahmad , Yosefvand Fariborz , Izadbakhsh Mohammad Ali 
Published: December 2022

AbstractGroundwater level fluctuations are one of the main components of the hydrogeological cycle and one of the required variables for many water resources operation models. The numerical models can estimate groundwater level (GWL) based on extensive statistics and information and using complex equations in any area. But one of the most important challenges in analyzing and predicting groundwater depletion in water management is the lack of reliable and complete data. For this reason, the use of artificial intelligence models with high predictive accuracy and due to the need for less data is inevitable. In recent years, the use of different numerical models has been noticed as an efficient solution. These models are able to estimate groundwater levels in any region based on extensive statistics and information and also various field experiments such as pumping tests, geophysics, soil and land use maps, topography and slope data, different boundary conditions and complex equations. In the current research, first, by using available statistics, information and maps, the groundwater level fluctuations of the Sonqor plain are simulated by the GMS model, and the accuracy of the model is evaluated in two stages of calibration and validation. Then, due to the need for much less data volume in artificial intelligence-based methods, the GA-ANN and ICA-ANN hybrid methods and the ELM and ORELM models are utilized. The results display that the output of the ORELM model has the best fit with observed data with a correlation coefficient equal to 0.96, and it also has the best and closest scatter points around the 45 degrees line, and in this sense, it is considered as the most accurate model. To ensure the correct selection of the best model, the Taylor diagram is also used. The results demonstrate that the closest point to the reference point is related to the ORELM method. Therefore, to predict the groundwater level in the whole plain, instead of using the complex GMS model with a very large volume of data and also the very time-consuming process of calibration and verification, the ORELM model can be used with confidence. This approach greatly helps researchers to predict groundwater level variations in dry and wet years using artificial intelligence with high accuracy instead of numerical models with complex and time-consuming structures.
Removal of toxic metals from aqueous phase using cacao pod husk biochar in the era of green chemistry
Authors: Abbey Comfort Yaa Boatemaa , Duwiejuah Abudu Ballu , Quianoo Albert Kojo 
Published: December 2022

AbstractCacao pod husk biochar was used as an adsorbent for the adsorption of toxic metals from aqueous phase. Cacao pod husk signifies a readily available source of eco-friendly and low-cost adsorbent in Sub-Saharan Africa that has scarcely been paid attention to. The experiment was conducted in a monosystem to determine how cacao pod husk biochar can efficiently adsorb lead (Pb2+), mercury (Hg2+) and cadmium (Cd2+) from aqueous phase. The experiment was conducted with 100 mL of varied toxic metal concentrations of the aqueous phase with a contact time of 60 min and a constant rotary speed of 14.8 U/min. The removal efficiency of cacao pod husk biochar for Pb2+, Hg2+ and Cd2+ ranged from 99.20 to 99.94%, 99.97 to 99.99%, and 99.85 to 99.99%, respectively. Freundlich adsorption isotherm was favourable for the adsorption of toxic metals onto the cacao pod husk biochar. The toxic metals had a stronger binding affinity to the cacao pod husk biochar. Hence, cacao pod husk was efficient for toxic metals elimination.