bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-objective optimization of stepped spillway and stilling basin dimensions
Authors: Lebdiri Fatiha , Seghir Abdelghani , Berreksi Ali 
Published: July 2021

Abstract
In the present paper, an optimization procedure is proposed for stepped spillway design dimensions, which leads to maximum energy dissipation rate and minimum construction cost, considering independently the chute cost and stilling basin cost. Three independent objective functions are thus simultaneously satisfied. The procedure involves four main tools: the multi-objective particle swarm optimization method (MOPSO) to find Pareto solutions in one run, the K-means clustering algorithm to reduce the size of the obtained non-dominated solutions, the pseudo-weight vector approach (PWV) to facilitate the decision making and to select some adequate solutions, and finally, CFD simulations to analyze the retained optimal solutions. The suitability of the proposed procedure is tested through an example of application. As results, a set of 20 solutions with different satisfaction levels is found and compared to existing solutions. A multi-objective optimization problem may have many different solutions; the originality of the present work lies in the proposed procedure, which explores several possible solutions and reduces their number to give help to the decision making. Furthermore, an approximate expression of spillway total cost is also derived as a function of flow energy dissipation rate.
Enhanced fluoride removal from drinking water in wide pH range using La/Fe/Al oxides loaded rice straw biochar
Authors: Zhou Nan , Guo Xiangxin , Ye Changqing , Yan Ling , Gu Weishi , Wu Xiangrong , Zhou Qingwen , Yang Yuhuan , Wang Xiaoping , Cheng Qiwei 
Published: July 2021

Abstract
A novel and highly efficient adsorbent was prepared by loading La/Fe/Al oxides onto rice straw biochar (RSBC), which was tested for the ability to remove fluoride from drinking water. Characterized by SEM, XRD, Zeta potential and FTIR, it was found that the ternary metal oxides were successfully loaded on the surface of biochar in amorphous form, resulting in the formation of hydroxyl active adsorption sites and positive charges, which played a synergistic role in fluoride removal. Through batch adsorption tests, key factors including contact time, initial fluoride concentration, initial pH and co-existing anions effects were investigated. Results showed that the tri-metallic modified biochar (La/Fe/Al-RSBC) had excellent fluoride removal performance with an adsorption capacity of 111.11 mg/g. Solution pH had little impact on the removal of fluoride, the adsorbent retained excellent fluoride removal capacity in a wide pH range of 3.0–11.0. The co-existing anions had almost no effect on the fluoride removal by La/Fe/Al-RSBC. In addition, La/Fe/Al-RSBC could be regenerated and reused. Electrostatic adsorption and ion exchange were responsible for this adsorption behavior. These findings suggested the broad application prospect of a prepared biochar adsorbent based on rare earth and aluminum impregnation for the fluoride removal from drinking water.
Assessment of the impact of short-term land use/land cover changes on water resources in the Yanghe reservoir basin, China
Authors: Li Daming , Bu Shilong , Chen Shuo , Li Qicheng , Li Yanqing 
Published: July 2021

Abstract
Land Use/Land Cover (LULC) is a main factor that affects the hydrological process of catchments. A better understanding of its influence is of great significance to future land use planning and water resources management. Since 2011, the local government has implemented a land remediation plan, and the LULC in the Yanghe Reservoir Basin has undergone major changes. This paper uses The Soil and Water Assessment Tool (SWAT) model to study blue water (BW) and green water (GW) resources in three typical years (a wet year, dry year, and normal year) under two LULC scenarios in the basin in 2010 and 2017. The results show that from 2010 to 2017, the area of cultivated land and residential construction land increased by 227.28% and 269.23%, respectively; the area of unused land, woodland, and grassland decreased by 98.84%, 35.90% and 39.52%, respectively. Compared with the results of the 2010 LULC scenario, the average BW of the three typical years under the 2017 LULC scenario decreased by 11.66%, 52.32%, and 21.95%, respectively, and the average GW flow increased by 6.72%, 2.90%, and 6.83%, respectively, and the average GW reserves decreased by 14.80%, 11.39%, and 7.67%, respectively. Therefore, this study believes that changes of LULC have led to a significant decrease in runoff and an increase in evapotranspiration in the basin.
Optimal water allocation method based on the genetic algorithm for a system of a reservoir and two pumping stations
Authors: Zhuo Ling , Cheng Jilin , Gong Zhihao 
Published: July 2021

Abstract
The subtropical monsoon climate zone features abundant water resources but with uneven temporal and spatial distribution, so seasonal water shortages are frequent. In order to reduce the water shortage and water spill in this region, a nonlinear optimization model for the joint operation of a system of a reservoir and two pumping stations is developed in this paper. In this model, the water supply of the reservoir and pumping volume of the pumping stations in each period are two types of decision variables, which are subjected to the annual available water in the reservoir, water rights of the two pumping stations and the operation rule of the reservoir. However, modern intelligent algorithms may fail in dealing with constraints of if-statements like the operation rule of the reservoir in this model. In light of the shortcoming of the classical genetic algorithm, a modified genetic algorithm is proposed by comparing the different methods for dealing with constraints. The modified algorithm shows a better adaptability to the operation rule. The modified genetic algorithm may provide a reference for similar modern intelligent algorithms to solve optimal water resources allocation for systems of multiple reservoirs and multiple pumping stations.
Precipitation forecast based on CEEMD–LSTM coupled model
Authors: Zhang Xianqi , Wu Xilong , He Shaoyu , Zhao Dong 
Published: July 2021

Abstract
Precipitation forecasting is an important guide to the prevention and control of regional droughts and floods, the rational use of water resources and the ecological protection. The precipitation process is extremely complex and is influenced by the intersection of many variables, with significant randomness, uncertainty and non-linearity. Based on the advantages that complementary ensemble empirical modal decomposition (CEEMD) can effectively overcome modal aliasing, white noise interference, and the ability of long short-term memory (LSTM) networks to handle problems such as gradient disappearance. A CEEMD–LSTM coupled long-term and short-term memory network model was developed and adopted for monthly precipitation prediction of Zhengzhou City. The performance shows that the CEEMD–LSTM model has a mean absolute error of 0.056, a root mean square error of 0.153, a mean relative error of 2.73% and a Nash efficiency coefficient of 0.95, which is better than the CEEMD–Back Propagation (BP) neural network model, the LSTM model and the BP model in terms of prediction accuracies. This demonstrates its powerful nonlinear and complex process learning capability in hydrological factor simulation for regional precipitation prediction.
Removal of agricultural wastewater pollutants by integrating two waste materials, fish scales and neem leaves, as novel potential adsorbent
Authors: Preetham Veeravalli , Vengala Jagadish 
Published: July 2021

Abstract
Only 2.5% of the world's water is fresh, despite the fact that water covers approximately 70% of the planet. This water is used for several recreational purposes and gets polluted by wastewater disposal directly into freshwater bodies. Effluents dispersed into water bodies could be from various sources like industries, households, and agricultural activities. These effluents comprise heavy metals and chemical wastes directly released into water bodies without treatment and could include major contaminants like nitrates, nitrites, ammonia and phosphates. The present study mainly focuses on removal of four significant pollutants from agriculture wastes, i.e., nitrates, nitrites, ammonia, and phosphates. These pollutants are removed using adsorbents via a process known as adsorption. Adsorbents used in the study are fish scales and neem leaves. Several studies have been carried out to measure the efficiency of adsorbents in the removal of contaminants. These studies include equilibrium studies, kinetic studies and isotherm studies. Based on a complete analysis and results obtained, 95% to 99% of contaminants can be removed effectively with an adsorbent dosage of 0.4g (0.2 g of fish scale and 0.2 g of neem leaves powder), optimum pH of 6 and at 303K constant temperature. The dosage variance stems from changing the dosages of two adsorbents in three ways, i.e., by taking both adsorbents in equal dosages, and increasing the dosage of one adsorbent compared to the other and vice versa. The contact time varied from 0 to 140min and the Initial concentration of pollutants has also been varied from 30 to 70 mg/L. In addition to the above variations, thermodynamic studies were also done, and based on the negative values of ΔG and positive value of ΔH and ΔS, it is evident that the reaction of novel adsorbent (combination of fish scales and neem leaves) is spontaneous and endothermic.
Synergistically homogeneous-heterogeneous Fenton catalysis of trace copper ion and g-C3N4 for degradation of organic pollutants
Authors: Yao Z. Y. , Zhu G. X. , Lu T. L. , Zhan Y. Z. 
Published: July 2021

Abstract
Using the bulk g-C3N4 as a precursor, four g-C3N4 nanosheets were further prepared by ultrasonic, thermal, acid, and alkali exfoliation. The structures of these materials were characterized by various techniques such as X-ray powder diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy, transmission electron microscopy, and X-ray photoelectron spectroscopy. The synergistical Fenton catalysis of these materials with Cu2+ was evaluated by using rhodamine B as a simulated organic pollutant. The results showed that there existed a significant synergistical Fenton catalysis between Cu2+ and g-C3N4. This synergistic effect can be observed even when the concentration of Cu2+ was as low as 0.064 mg L−1. The properties of g-C3N4 strongly influenced the catalytic activity of the Cu2+/g-C3N4 system. The coexistent of Cu2+ and the alkali exfoliated g-C3N4 showed the best catalytic activity. Hydroxyl radicals as oxidizing species were confirmed in the Cu2+/g-C3N4 system by electron paramagnetic resonance spectra. The synergistic catalysis may be attributed to the easier reduction of Cu2+ adsorbed on the g-C3N4. This study provided an excellent Fenton catalytic system, and partly solved the rapid deactivation of heterogeneous Fenton catalysts caused by the leaching of metal ions.
Using Acoustic Speech Patterns From Smartphones to Investigate Mood Disorders: Scoping Review
Authors: Flanagan Olivia , Chan Amy , Roop Partha , Sundram Frederick 
Published: July 2021

BackgroundMood disorders are commonly underrecognized and undertreated, as diagnosis is reliant on self-reporting and clinical assessments that are often not timely. Speech characteristics of those with mood disorders differs from healthy individuals. With the wide use of smartphones, and the emergence of machine learning approaches, smartphones can be used to monitor speech patterns to help the diagnosis and monitoring of mood disorders.ObjectiveThe aim of this review is to synthesize research on using speech patterns from smartphones to diagnose and monitor mood disorders.MethodsLiterature searches of major databases, Medline, PsycInfo, EMBASE, and CINAHL, initially identified 832 relevant articles using the search terms “mood disorders”, “smartphone”, “voice analysis”, and their variants. Only 13 studies met inclusion criteria: use of a smartphone for capturing voice data, focus on diagnosing or monitoring a mood disorder(s), clinical populations recruited prospectively, and in the English language only. Articles were assessed by 2 reviewers, and data extracted included data type, classifiers used, methods of capture, and study results. Studies were analyzed using a narrative synthesis approach.ResultsStudies showed that voice data alone had reasonable accuracy in predicting mood states and mood fluctuations based on objectively monitored speech patterns. While a fusion of different sensor modalities revealed the highest accuracy (97.4%), nearly 80% of included studies were pilot trials or feasibility studies without control groups and had small sample sizes ranging from 1 to 73 participants. Studies were also carried out over short or varying timeframes and had significant heterogeneity of methods in terms of the types of audio data captured, environmental contexts, classifiers, and measures to control for privacy and ambient noise.ConclusionsApproaches that allow smartphone-based monitoring of speech patterns in mood disorders are rapidly growing. The current body of evidence supports the value of speech patterns to monitor, classify, and predict mood states in real time. However, many challenges remain around the robustness, cost-effectiveness, and acceptability of such an approach and further work is required to build on current research and reduce heterogeneity of methodologies as well as clinical evaluation of the benefits and risks of such approaches.
Theoretical Aspects of the Concept of Value Chain Management
Authors: Tyapukhin A. P. 
Published: July 2021

The purpose of the studyis to clarify and complement the theoretical aspects of the formation of the concept of value chain management, which provides, along with the concepts of demand chain management and supply chain management, the creation of an integral concept of chain management.Methods of researchare methods of analysis and synthesis, induction and deduction, as well as classification, and tools are binary matrices providing for the joint use of two classification features.As a result of the study,flow management sequences were developed in creating the value of the end user of products and/or services and the stages of transformation of flows of various types; proposed a classification of management situations related to the creation of value; identified the main options for obtaining and assessing the value of the end user of products and/or services; disclosed are processes for optimizing the value of the end user; harmonizing the parameters of value and flows of products and/or services; disseminating and transforming the values of end-users of products and/or services.These results, when further refined, will reveal the areas of interaction between suppliers and consumers in the framework of joint management of values, requirements and supplies; Create prerequisites for improving supply chain management and logistics terminology; Organize better flow management within different chain management concepts, eliminating or reducing cross-functional and other barriers to the creation and delivery of value to end-users of products and/or services.Further areas of improvement include the establishment of harmonized definitions of value chain management, value chain management and supply chain management to provide a basic definition of chain management; clarification of essence, content, causes of occurrence and methods of reduction of barriers on trajectory of movement of flows of control objects and reduction of time for their processing, movement and transformation.
Personalized Postprandial Glucose Response–Targeting Diet Versus Mediterranean Diet for Glycemic Control in Prediabetes
Authors: Ben-Yacov Orly , Godneva Anastasia , Rein Michal , Shilo Smadar , Kolobkov Dmitry , Koren Netta , Cohen Dolev Noa , Travinsky Shmul Tamara , Wolf Bat Chen , Kosower Noa , Sagiv Keren , Lotan-Pompan Maya , Zmora Niv , Weinberger Adina , Elinav Eran , Segal Eran 
Published: July 2021

OBJECTIVE
To compare the clinical effects of a personalized postprandial-targeting (PPT) diet versus a Mediterranean (MED) diet on glycemic control and metabolic health in prediabetes.

RESEARCH DESIGN AND METHODS
We randomly assigned adults with prediabetes (n = 225) to follow a MED diet or a PPT diet for a 6-month dietary intervention and additional 6-month follow-up. The PPT diet relies on a machine learning algorithm that integrates clinical and microbiome features to predict personal postprandial glucose responses. During the intervention, all participants were connected to continuous glucose monitoring (CGM) and self-reported dietary intake using a smartphone application.

RESULTS
Among 225 participants randomized (58.7% women, mean ± SD age 50 ± 7 years, BMI 31.3 ± 5.8 kg/m2, HbA1c, 5.9 ± 0.2% [41 ± 2.4 mmol/mol], fasting plasma glucose 114 ± 12 mg/dL [6.33 ± 0.67 mmol/L]), 200 (89%) completed the 6-month intervention. A total of 177 participants also contributed 12-month follow-up data. Both interventions reduced the daily time with glucose levels &gt;140 mg/dL (7.8 mmol/L) and HbA1c levels, but reductions were significantly greater in PPT compared with MED. The mean 6-month change in “time above 140” was −0.3 ± 0.8 h/day and −1.3 ± 1.5 h/day for MED and PPT, respectively (95% CI between-group difference −1.29 to −0.66, P &lt; 0.001). The mean 6-month change in HbA1c was −0.08 ± 0.19% (−0.9 ± 2.1 mmol/mol) and −0.16 ± 0.24% (−1.7 ± 2.6 mmol/mol) for MED and PPT, respectively (95% CI between-group difference −0.14 to −0.02, P = 0.007). The significant between-group differences were maintained at 12-month follow-up. No significant differences were noted between the groups in a CGM-measured oral glucose tolerance test.

CONCLUSIONS
In this clinical trial in prediabetes, a PPT diet improved glycemic control significantly more than a MED diet as measured by daily time of glucose levels &gt;140 mg/dL (7.8 mmol/L) and HbA1c. These findings may have implications for dietary advice in clinical practice.
Public Attitudes and Interests in Using Online Transactions (TAM Application And TRA Model)
Authors: Rastini Ni Made , Respati Ni Nyoman Rsi 
Published: July 2021

This study aims to investigate the public's interest in using online transactions, especially mobile by Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA). The sample in this study was 200 people. The data analysis technique in this study used Partial Least Square (PLS). The results showed that the perceived ease of use and perceived usefulness had a positive and significant effect on user attitudes. Subjective norm variables, user attitudes have a positive and significant effect on individual behavior interest, perceived ease of use has a positive and significant effect on the perceived usefulness. Suggestions from this research are the banking sector is expected to add features that can make it easier and provide more benefits for their customers in using mobile banking.
HADITH ON THE EXCELLENCE OF AL-FATIHAH: THE EXAMINATION OF ITS CHAIN OF TRANSMISSION
Authors: Amiruddin Andi Muhammad Ali 
Published: July 2021

Hadith, as commonly defined by hadith scholars (al-muhddithun), is a record of the Prophet’s sayings, deeds and tacit approval. Even it may include the description of the Prophet’s features and physical appearance. Hadith contains details of faith and doctrine, ritual issues, ethics and many others which are related with the contents of the Quran and on the Quranic verses as well. This article is aimed at assessing the validity of a hadith on the excellence of al-Fatihah, the opening chapter of the Quran. In doing so, this article presents the chain of transmission of the hadith by assessing the details of all persons involved in relating the hadith. It is found the hadith assessed is reliable and may be relevant for Muslims to use as a source for their religious activities.
Comparison of curvilinear-array (microconvex) and phased-array transducers for ultrasonography of the lungs in dogs
Authors: Ward Jessica L. , Murphy Shane D. , Lisciandro Gregory R. , Tropf Melissa A. , Viall Austin K. , DeFrancesco Teresa C. 
Published: July 2021

Abstract

OBJECTIVES
To compare the use of curvilinear-array (microconvex) and phased-array transducers for ultrasonographic examination of the lungs in dogs.

ANIMALS
13 client-owned dogs with left-sided congestive heart failure.

PROCEDURES
In a prospective methods comparison study, 24 ultrasonographic examinations of the lungs (4 sites/hemithorax) were performed with both curvilinear-array and phased-array transducers at 3 clinical time points. Two observers independently assessed the number of B lines (scored per site and in total), number of sites strongly positive for B lines (ie, those with > 3 B lines/site), and image quality (scored on a 5-point scale). Analyses included assessment of interobserver agreement with κ analysis, comparison of quality scores between transducers with mixed-effects modeling, and investigation of agreement and bias for B-line data and quality scores between transducers with Passing-Bablok regression.

RESULTS
Interobserver agreement for total B-line scores and number of strong-positive sites was excellent (κ > 0.80) for both transducers. There was no evidence of analytic bias for the number of B lines or strong-positive sites between transducers. Interobserver agreement for image quality scores was moderate (κ, 0.498 and 0.517 for the curvilinear-array and phased-array transducers, respectively). Both observers consistently assigned higher-quality scores to curvilinear-array images than to phased-array images.

CONCLUSIONS AND CLINICAL RELEVANCE
Results indicated both curvilinear-array (microconvex) and phased-array transducers can be used by experienced sonographers to obtain diagnostic ultrasonographic images of the lungs in dogs with acute or resolving left-sided congestive heart failure and suggested the former transducer may be preferred, particularly to aid identification of anatomic landmarks for orientation.