bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nonlinear autoregressive-moving average-L2 (NARMA-L2) controller for multivariable ball mill plant
Authors: Bustamante Rodrigo de A. , Bastos Beatriz S. M. , de Oliveira Juan S. , Santos Brunno F. 
Published: August 2021

Abstract
Mineral processing facilities concern an enormous amount of dynamically complex unit operations (due to nonlinearities), for instance ball mill system. Normally, these processes need multivariable controllers to smooth actions by designing for plant constraints such as deadtimes and dynamics interactions. The present work presents a comparison between a classical PI and nonlinear moving average autoregressive-linearization level 2 (NARMA-L2) controllers based on artificial neural network (ANN) for a ball mill system. The manipulated variables of this plant are the rotation velocity (Vr) and the feeding weight (Wf), while the controlled parameters are the hold up (HU) and the mass fraction under 45 μm (P45). The simulation was built in the MATLAB software (Simulink), comparing the actions of PI and NARMA-L2 controllers in the face of operational changes in specific regions (constraints). The performance of proposed controllers was verified by the integral of absolute error (IAE), integral of squared error (ISE), or the integral of time-weighted absolute error (ITAE). The results of simulation showed the validity of the model obtained and the control technique proposed in this paper, which contributes to studies of multivariate controller designs for ball mills with significant applications. Additionally, this paper brings a first hybrid approach (PI/NARMA-L2) with successful implementation described in the literature.
Analyzing diagnostic errors in the acute setting: a process-driven approach
Authors: Griffin Jacqueline A. , Carr Kevin , Bersani Kerrin , Piniella Nicholas , Motta-Calderon Daniel , Malik Maria , Garber Alison , Schnock Kumiko , Rozenblum Ronen , Bates David W. , Schnipper Jeffrey L. , Dalal Anuj K. 
Published: August 2021

Abstract

Objectives
We describe an approach for analyzing failures in diagnostic processes in a small, enriched cohort of general medicine patients who expired during hospitalization and experienced medical error. Our objective was to delineate a systematic strategy for identifying frequent and significant failures in the diagnostic process to inform strategies for preventing adverse events due to diagnostic error.

Methods
Two clinicians independently reviewed detailed records of purposively sampled cases identified from established institutional case review forums and assessed the likelihood of diagnostic error using the Safer Dx instrument. Each reviewer used the modified Diagnostic Error Evaluation and Research (DEER) taxonomy, revised for acute care (41 possible failure points across six process dimensions), to characterize the frequency of failure points (FPs) and significant FPs in the diagnostic process.

Results
Of 166 cases with medical error, 16 were sampled: 13 (81.3%) had one or more diagnostic error(s), and a total of 113 FPs and 30 significant FPs were identified. A majority of significant FPs (63.3%) occurred in “Diagnostic Information and Patient Follow-up” and “Patient and Provider Encounter and Initial Assessment” process dimensions. Fourteen (87.5%) cases had a significant FP in at least one of these dimensions.

Conclusions
Failures in the diagnostic process occurred across multiple dimensions in our purposively sampled cohort. A systematic analytic approach incorporating the modified DEER taxonomy, revised for acute care, offered critical insights into key failures in the diagnostic process that could serve as potential targets for preventative interventions.
An efficient adaptive modulation technique over realistic wireless communication channels based on distance and SINR
Authors: Khan Rahim , Yang Qiang , Noor Alam , Altaf Khattak Sohaib Bin , Guo Liang , Tufail Ahsan Bin 
Published: August 2021

Abstract
A growing trend has been observed in recent research in wireless communication systems. However, several limitations still exist, such as packet loss, limited bandwidth and inefficient use of available bandwidth that needs further investigation and research. In light of the above limitations, this paper uses adaptive modulation under various parameters, such as signal to interference plus noise ratio (SINR), and communication channel’s distances. The primary goal is to minimize bit error rate (BER), improve throughput and utilize the available bandwidth efficiently. Additionally, the impact of Additive White Gaussian Noise (AWGN), Rayleigh and Rician fading channels on the performance of various modulation schemes are also studied. The simulation results demonstrate that our proposed technique optimally improves the BER and spectral efficiency in the long-range communication as compared to the fixed modulation schemes under the co-channel interference of surrounding base stations. The results indicate that the performance of fixed modulation schemes is suitable only either at high SINR and low distance or at low SINR and high distance values. Moreover, on the other hand, its performance was suboptimal in the entire wireless communication channel due to high distortion and attenuation. Lastly, we also noted that BER performance in the AWGN channel is better than Rayleigh and Rician channels with Rayleigh channel exhibiting poor performance than the Rician channel.
Experimental study on the behavior of MSE wall having full-height rigid facing and segmental panel-type wall facing
Authors: Won Myoung-Soo , Langcuyan Christine P. , Choi Gwan-Hee 
Published: August 2021

Abstract
The amount of the lateral displacements on the mechanically stabilized earth (MSE) wall depends on the reinforcement extensibility and length, reinforcement-to-facing connection, and the wall facing, among others. In this study, the deformation behavior of MSE wall models was focused considering two types of wall facing and three types of reinforcement. A series of small-scale model tests were undertaken on the MSE wall having a full-height rigid (FHR) facing and a segmental panel-type (SPT) wall facing. At the same time, the models were using discrete geogrids, geosynthetic strips, and steel rods as reinforcement. The results showed that the geogrids-reinforced MSE wall with FHR facing exhibited the highest load capacity with the least vertical displacements. The MSE wall models with steel reinforcements generally exhibited the least lateral displacements at wall facing than those with geosynthetics reinforcements. Finally, the results showed that MSE wall models with FHR facing have generally lesser lateral displacements at the wall facing compared to those with SPT wall facing.
Prediction of total landslide volume in watershed scale under rainfall events using a probability model
Authors: Wu Chun-Yi , Chou Po-Kai 
Published: August 2021

AbstractThis study established a probability model based on the landslide spatial and size probabilities to predict the possible volume and locations of landslides in watershed scale under rainfall events. First, we assessed the landslide spatial probability using a random forest landslide susceptibility model including intrinsic causative factors and extrinsic rainfall factors. Second, we calculated the landslide volume probability using the Pearson type V distribution. Lastly, these probabilities were joined to predict possible landslide volume and locations in the study area, the Taipei Water Source Domain, under rainfall events. The possible total landslide volume in the watershed changed from 1.7 million cubic meter under the event with 2-year recurrence interval to 18.2 million cubic meter under the event with 20-year recurrence interval. Approximately 62% of the total landslide volume triggered by the rainfall events was concentrated in 20% of the slope units. As the recurrence interval of the events increased, the slope units with large landslide volume tended to concentrate in the midstream of Nanshi River subwatershed. The results indicated the probability model posited can be used not only to predict total landslide volume in watershed scale, but also to determine the possible locations of the slope units with large landslide volume.
Characteristic and paleoenvironment significance of microbially induced sedimentary structures (MISS) in terrestrial facies across P-T boundary in Western Henan Province, North China
Authors: Zheng Wei , Xu Xin , Qi Yongan , Xing Zhifeng , Liu Yunlong , Li Xiaoyan , Chen Baibing 
Published: August 2021

AbstractWe report varied microbially induced sedimentary structures (MISS), and other sedimentary surface textures, from the Induan (Early Triassic) Sunjiagou Formation and Liujiagou Formation in the Xingyang, Dengfeng, Jiyuan and Yiyang areas, western Henan Province, North China. Microanalysis shows that these MISS are characterized by a U-shaped structure, thin clayey laminae, and discontinuous mica sheet that are arranged parallel to the bedding plane, as well as directionally oriented quartz grains floating in lamina, which are indicative of a biogenic origin. The MISS of the studied area were probably affected by four main factors, including the end-Permian mass extinction, the megamonsoon, the adapted sedimentary environment, and the sediment supply, and they possess significant stratigraphic correlation. Abundant microbial-related sedimentary structures from the study area indicate that continental ecosystems were severely devastated in the aftermath of the Permian-Triassic biocrisis. These sedimentary structure assemblages, including MISS, red beds, conglomerate layers, and calcareous concretions in the western Henan Province, show a specific, post-extinction continental ecosystem that was characterized by microflora dominance, monotonous and rare fossils, extreme hot climate, soil ecosystem devastation, and poor vegetation.
Self-deprecating humor and task persistence: the moderating role of self-defeating humor style
Authors: Cheng David 
Published: August 2021

Abstract
Over the past two decades a significant body of research has examined the effects of individual differences in humor style or humor occurrences (e.g. specific jokes, memes) on behavior. However, research examining whether these individual differences in humor styles influence the effects of humor occurrences on work behaviors has been scant. Drawing on Conservations of Resources (COR) theory, this paper seeks to fill this gap by examining one form of humor, self-deprecating humor, and its interaction with self-defeating humor style to influence task persistence behavior. Findings from an experimental study of 124 management students show that self-deprecating humor can bolster a person’s persistence at an assigned task. Findings also show that individual differences in self-defeating humor style influence the relationship between self-deprecating humor and persistence. Individuals low in self-defeating humor style show a significant increase in persistence while those high in self-defeating humor style did not show any significant increase.
Psychometric properties of the Comic Style Markers – Portuguese version: applying bifactor and hierarchical approaches to studying broad versus narrow styles of humor
Authors: Moreira Paulo A. S. , Inman Richard A. 
Published: August 2021

AbstractGiven the relevance of humor for psychosocial assessment and promoting positive functioning, it is important to understand the relationship between humor and personality. A recent framework for describing individual differences in humor posits eight comic styles that can be measured using the Comic Style Markers (CSM). In total, 665 Portuguese adults (Mage = 32.1 years) completed the CSM and Cloninger’s Temperament and Character Inventory. CFAs supported modeling the CSM as a bifactor model. Bifactor indices suggested a general humor factor could be interpreted as a unidimensional construct, but that CSM items are multidimensional. A hierarchical analysis showed the styles could be represented at several levels of abstraction. A SEM analysis suggested certain styles had distinct associations with personality dimensions. These findings suggest that the use of certain styles (namely wit, sarcasm, and cynicism) was related to individual differences in temperament and character beyond a person’s overall humor potential.
Acute neurological conditions during pregnancy and their management: a review
Authors: Maqbool Rubeena , Maqbool Mudasir , Zehravi Mehrukh , Ara Irfat 
Published: August 2021

AbstractLess vascular resistance, higher vascular permeability and improved cardiac output include anatomical and physiological changes related to pregnancy. These are needed to accommodate an increase in plasma volume and ensure significant organ infusion. Nevertheless, increases in oestrogen levels may lead to an increase in the risk of coagulation and thrombosis. Increased levels of progesterone increase the risk of thrombosis due to vasodilation, vascular stasis and edoema in these situations. The increased resistance in preeclampsia maternal systemic blood arteries can create high blood pressure that can interfere with blood flow in numerous organs (including liver, kidneys, brain and placenta). The risk of issues such as pulmonary edoema, placental abruption, pneumonia of aspiration, renal failure, hepatic failure and stroke in pregnant women is increased by Preeclampsia and eclampsia. Some peripheral neuropathies (carpal tunnel syndrome, peripheral facial palsy) and central neurological conditions (seizure, migraine, stroke, epilepsy) may become more common during pregnancy because of the exacerbation of the pre-existing neurologic condition or the onset of neurological disturbance caused by pregnancy physiological changes (such as headache or vascular disorders). During the three trimesters of pregnancy, neurological disorders are both peripheral and central. Therefore, an early and correct diagnosis is required to improve pregnancy care, treatment and perinatal outcomes. The aims of this paper are to identify, define and manage the most prevalent peripheral and centrally occurring neurological disorders in the pregnancy.
Depression and anxiety in women with polycystic ovarian syndrome: a literature survey
Authors: Zehravi Mehrukh , Maqbool Mudasir , Ara Irfat 
Published: August 2021

Abstract
Polycystic ovarian syndrome (PCOS) is the most frequent endocrine disorder among women of reproductive age. Some of the indications and symptoms of PCOS include amenorrhoea, hirsutism, infertility, obesity, acne vulgaris and androgenic alopecia. PCOS is a crippling condition that affects a woman’s identity, mental health and overall quality of life (QOL). In persons with PCOS, anxiety and sadness are assumed to be multifactorial. According to some specialists, physical symptoms like acne, hirsutism and obesity have been linked to psychiatric morbidities. Many aspects of it remain unknown, including its cause, progression throughout life, symptom spectrum and level of morbidity. PCOS is a complex disease that has an impact on many aspects of a person’s health, including their mental health. Anxiety and depression are three times as common in PCOS patients as in non-PCOS people. Anxiety and depression symptoms are also more common and more intense in those with PCOS. There isn’t enough research on the prevalence of anxiety and depression in patients with PCOS. It’s unclear what causes persons with PCOS to be more anxious and depressed. It could be the result of PCOS symptoms, hormonal changes, or a combination of factors that are currently unclear. Our review article will help to highlight the most recent research on anxiety and depression in PCOS women.
Hydrogen peroxide assisted electrocoagulation treatment of rice gain based biodigester effluent: mechanism, performance, and cost analysis
Authors: Dubey Savita , Joshi Amita , Trivedi Rashmi , Chaudhari Parmesh Kumar , Pal Dharm , Prajapati Abhinesh Kumar 
Published: August 2021

Abstract
In the current scenario treatment of industrial waste water is big challenge especially waste water that contain high organic load. Hydrogen peroxide assisted electrocoagulation (EC) process provides better result to treat highly polluted wastewater as compared to EC alone. However, hydrogen peroxide is well known as a strong oxidant, which cast a potential threat to human health. To overcome this problem hydrogen peroxide has been used here for treatment of wastewater in small quantity, and that consume during the process. Therefore the harmful effect of hydrogen peroxide in human and aquatic life could be minimized. This work is an attempt to treat biodigester effluent (BDE) using H2O2 assisted EC processes with respect to chemical oxygen demand (COD) and color reductions. To perform this experiment both iron and aluminum electrodes are used as an electrode material in the presence of H2O2. In case of iron electrode the maximum COD and color reduction efficiency of 98.3 and 83.6% was achieved at the cost of 1.5 Wh/dm3 energy consumption while maximum COD and color removal efficiency of 96.8 and 77.1% with 1.7 Wh/dm3 of energy consumption was observed in the aluminum electrode based EC process. A part from this conventional biological process (i.e., activated sludge treatment, ponds, and lagoon etc.) and physiochemical treatment process (i.e., coagulation, adsorption) provided treatment efficiency of 40–80% hence hydrogen peroxide assisted EC process should a better choice to treat distillery effluent. Furthermore, hybrid EC process was also performed with iron used as anode and aluminum as cathode in the presence of H2O2. Iron electrode based peroxi-EC process provided better result at optimum operating conditions; current density of 114 A/m2, initial COD concentration of 12,000 mg/dm3, initial pH of 7.3, H2O2 concentration of 120 mg/dm3, stirring speed of 120 rpm and electrolysis time of 90 min. The cost estimated for operation is 1.56 US $/m3. Finally, sludge analysis and cost optimization are also incorporated in this article.
Diversity of interaction phenomenon, cross-kink wave, and the bright-dark solitons for the (3 + 1)-dimensional Kadomtsev–Petviashvili–Boussinesq-like equation
Authors: Li MeiYu , Bilige Sudao , Zhang Run-Fa , Han Lihui 
Published: August 2021

Abstract
The (3 + 1)-dimensional Kadomtsev–Petviashvili–Boussinesq-like equation has certain advantages in solving engineering problems. In this paper, based on the generalized bilinear form, we successfully derived the diversity of exact solutions under certain constraints by using the symbolic computation Maple. These solutions have interaction wave solitons, cross-kink wave solitons, and bright-dark solitons. To ensure the accuracy of these solutions, we made a special selection of the parameters involved and made a three-dimensional graph, density graph, and contour graph to illustrate the dynamics of the solutions. The resulting solutions can be used for the study of certain phenomena in physics.
Solvability and stability of nonlinear hybrid ∆-difference equations of fractional-order
Authors: Alzabut Jehad , George Maria Selvam A. , Vignesh Dhakshinamoorthy , Gholami Yousef 
Published: August 2021

AbstractIn this paper, we study a type of nonlinear hybrid Δ-difference equations of fractional-order. The main objective is to establish some stability criteria including the Ulam–Hyers stability, generalized Ulam–Hyers stability together with the Mittag-Leffler–Ulam–Hyers stability for the addressed problem. Prior to the stabilization processes, solvability criteria for the existence and uniqueness of solutions are considered. For this purpose, a hybrid fixed point theorem for triple operators and the Banach contraction mapping principle are applied, respectively. For the sake of illustrating the practical impact of the proposed theoretical criteria, we finish the paper with particular examples.
The use of blocking and inhibition training in processing instruction
Authors: Henry Nick 
Published: August 2021

Abstract
Previous research has suggested that L2 learners often use non-target processing strategies to understand sentences, but that these strategies can be changed through targeted instruction that directs their attention to different linguistic forms or structures. The present study explores the effects of pretraining ‘blocking’ practice—a novel type of training designed to help learners inhibit the application of a strict word-order based processing strategy—prior to receiving a traditional Structured Input (SI) training focused on OVS word order and accusative case markers in German. The study compares three groups of third-semester German learners who completed three different activities in one training session: (1) SI with blocking practice (+BP), (2) SI preceded by explicit information (+EI), and (3) SI without EI or blocking practice (−EI). The effects of training were measured by sentence-level interpretation and production tasks administered as a pretest, posttest, and four-week delayed posttest. Learner performance was also assessed during training. Results in all assessment measures indicated that EI was most effective, but that blocking practice lent a slight advantage over −EI groups during and after training. These results are discussed in the context of studies on processing instruction and learned attention.
Efficacy and tolerability of Lavandula angustifolia in treating patients with the diagnosis of depression: a systematic review of randomized controlled trials
Authors: Shamabadi Ahmad , Akhondzadeh Shahin 
Published: August 2021

Abstract
Pharmacotherapy is the conventional treatment for depression, with only half of the patients responding to the first trial of monotherapy with first-line medicines. One way to overcome this resistance is to use complementary and alternative medicine. The antidepressant effects of Lavandula angustifolia, which is commonly called lavender, have been investigated in previous studies. This study aims to provide the first systematic review of lavender in treating patients with depression diagnosis. ISI Web of Science, Scopus, PubMed, Embase, PsycINFO, Google Scholar, and three trial registries were searched until May 2020 to find randomized controlled trials on lavender for depressed patients. The primary outcome was difference between the intervention and control groups in changing depression scores from baseline to endpoint. The included studies were assessed for effect size and methodological quality. Seven clinical trials were identified, in which 852 patients were studied. In six trials, the effectiveness of lavender in treating depression was reported, as being more pronounced adjunct to a typical antidepressant in one study. Significant reported side effects include headaches and eructation. Lavender is beneficial, tolerable, and safe in treating depression. Despite obtaining promising results, they are not enough to recommend prescribing lavender to depressed patients. Further high-quality, large-scale studies for rectifying the shortcomings of existing studies are recommended.