bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using Think-Pair-Share to Develop Students' Social and Emotional Competencies in Chemistry Learning
Authors: Rahmawati Yuli , Utami Tri Hastuti Budi , Nurjayadi Muktiningsih , Mardiah Alin 
Published: April 2021

<p>The aim of this study was to analyze students' social and emotional competencies through the integration of Think Pair Share (TPS) and a Social and Emotional Learning (SEL) approach to topics related to Ac­ids and Bases. Social and emotional learning (SEL) is the process through which children and adults under­stand and manage emotions, set and achieve positive goals, feel and show empathy for others, establish and maintain positive relationships, and make responsible decisions.. The study involved thirty-five 11th grade students in one of private school in Jakarta and was conducted between January and April, 2017. A qualitative methodology was employed to analyze students’ social and emotional competencies using inter­views, classroom observations, reflective journals, and student worksheets. The application of a SEL ap­proach was carried out by integrating it with a TPS strategy. In the <em>Think</em> stage students were given the opportunity to explore their understanding of acids and bases and to solve problems individually. In the<em> Pair</em> stage they could communicate their insights to the group, and in the <em>Share</em> stage they had occasion to present their group perspectives and respond to others. The five social and emotional competences found in this study were; self awareness, self management, social awareness, relationship management, and re­sponsible decision making. Self awareness was demonstrated by understanding a student’s abilities, their needs, and their self- confidence. Self management was indicated by a student’s ability to manage pressure, plan strategies, and seek help. Social awareness competencies were analyzed through the development of students' attitudes to diversity and how they demonstrated care for friends. Relationship management com­petencies were identified by observing a student’s ability to manage friendships, how they overcame differ­ences, and whether they provided assistance to each other. The responsible decision making competency was determined by observing how students made decisions when trying to solve a problem and whether they were able to plan a strategy when facing pressure. Whilst integrating SEL the researchers were chal­lenged by the need to empower students, encourage teachers to stimulate students’ social and emotional competencies, and to manage time constraints. Integrating SEL into chemistry learning provided opportuni­ties for students to develop their social and emotional competencies through independent thinking activities, group discussions, and presentations to their peers.</p>
QSAR Modeling of Compounds Derived from 1,2,3-Triazolopiperidine as DPP-4 Enzyme Inhibitors Using Semiempirical AM1
Authors: Asmara Anjar Purba , Nasution Reni Silvia , Minarty Rosi 
Published: April 2021

<p>This study aims to model the derived compounds of 1,2,3-triazolopiperidine using sem­iempirical method AM1 and determine the further derivation with the better IC<sub>50</sub> values against DPP-4 enzyme theoretically. This research employed ChemDraw Pro 12 software for for 2D struc­tural drawing, Hyperchem 8.0 for 3D modelling, and MLR statistical analysis for modeling QSAR equations. The semiempirical method was likely to be the appropriate platform to apply because the correlation coefficient of H<sup>1 </sup>NMR chemical shift between theoretical and actual value is rela­tively close, 0.8891. The multilinear regression analysis produced 4 equation models where the best one is equation 4 as detailed below:” IC<sub>50</sub> = 875,5116 + (-7400,27*qH35) + (-0,00133* Eat.is) + (-3230,72* qN23) + (3,30277* µ)” n = 25; r<sup>2</sup> = 0,594; <em>Adjusted r<sup>2</sup></em>= 0,486; PRESS = 1,2× 10<sup>4</sup><sup>. </sup>Finally, the theoretically promising substituent was -CN possessing IC<sub>50</sub> value = 1.61 nM. </p>
Reservoir Quality Versus Completion Intensity: An Application of Supervised Fuzzy Clustering on Western Canadian Well Data
Authors: Moussa Tamer , Dehghanpour Hassan , Popp Melanie 
Published: April 2021

ABSTRACT
The industry is facing significant challenges due to the recent downturn in oil prices, particularly for the development of tight reservoirs. It is more critical than ever to 1) identify the sweet spots with less uncertainty and 2) optimize the completion-design parameters. The overall objective of this study is to quantify and compare the effects of reservoir quality and completion intensity on well productivity.
We developed a supervised fuzzy clustering (SFC) algorithm to rank reservoir quality and completion intensity, and analyze their relative impacts on wells' productivity. We collected reservoir properties and completion-design parameters of 1,784 horizontal oil and gas wells completed in the Western Canadian Sedimentary Basin. Then, we used SFC to classify 1) reservoir quality represented by porosity, hydrocarbon saturation, net pay thickness and initial reservoir pressure; and 2) completion-design intensity represented by proppant concentration, number of stages and injected water volume per stage. Finally, we investigated the relative impacts of reservoir quality and completion intensity on wells' productivity in terms of first year cumulative barrel of oil equivalent (BOE).
The results show that in low-quality reservoirs, wells' productivity follows reservoir quality. However, in high-quality reservoirs, the role of completion-design becomes significant, and the productivity can be deterred by inefficient completion design. The results suggest that in low-quality reservoirs, the productivity can be enhanced with less intense completion design, while in high-quality reservoirs, a more intense completion significantly enhances the productivity.

Keywords
Reservoir quality; completion intensity; supervised fuzzy clustering, approximate reasoning,tight reservoirs development
Application of Surfactant Solution for Lower Oligocene Formation, White Tiger Field
Authors: Pham Tai H. , Nguyen Huy X. , Dang Cuong T. Q. , Bae Wisup , Nguyen Nguyen V. K. 
Published: April 2021

Summary
In this study we investigated the possibility of applying a surfactant solution for better oil recovery of the Lower Oligocene formation in the White Tiger Field. The research comprised steps ranging from optimizing the surfactant solution to coreflooding and piloting on two injection wells. The concentrations of surfactants [alkyl ether sulfonate (AES) and sodium α-olefin sulfonate (AOS)] and solvent (n-butanol) were optimized using response surface methodology with the response value set equal to the interfacial tension (IFT). The certified solution was used for conducting coreflooding, and the additional recovery factors from two sample cores were 32% original oil in place (OOIP) and 49% OOIP, respectively. Two injection wells were selected for piloting the injection and were located in White Tiger Field. These wells exhibited strong hydraulic connectivity to seven wells that were under production. The production rates in the observed wells demonstrated a significant increase after 2–3 months of surfactant injection. During the observation period, all seven producer wells showed an increment of approximately 8,475 tons of oil, accounting for approximately 21% of the cumulative oil production.
Neural labeled LDA: a topic model for semi-supervised document classification
Authors: Wang Wei , Guo Bing , Shen Yan , Yang Han , Chen Yaosen , Suo Xinhua 
Published: April 2021

Abstract
Recently, some statistical topic modeling approaches based on LDA have been applied in the field of supervised document classification, where the model generation procedure incorporates prior knowledge to improve the classification performance. However, these customizations of topic modeling are limited by the cumbersome derivation of a specific inference algorithm for each modification. In this paper, we propose a new supervised topic modeling approach for document classification problems, Neural Labeled LDA (NL-LDA), which builds on the VAE framework, and designs a special generative network to incorporate prior information. The proposed model can support semi-supervised learning based on the manifold assumption and low-density assumption. Meanwhile, NL-LDA has a consistent and concise inference method while semi-supervised learning and predicting. Quantitative experimental results demonstrate our model has outstanding performance on supervised document classification relative to the compared approaches, including traditional statistical and neural topic models. Specially, the proposed model can support both single-label and multi-label document classification. The proposed NL-LDA performs significantly well on semi-supervised classification, especially under a small amount of labeled data. Further comparisons with related works also indicate our model is competitive with state-of-the-art topic modeling approaches on semi-supervised classification.
WITHDRAWN: Self-adaptive Intrusion Detection System for UAV-to-UAV Communications in UAV Networks
Authors: Fotohi Reza , Abdan Masoud 
Published: April 2021

Abstract
Unmanned aerial vehicles (UAVs) have recently attracted many researchers' attention because of their extensive applications. Security issues, in particular, are a serious concern in such networks since the top-secret information exchanged between UAVs is susceptible to various attacks such as Sybil, blackhole, and Flooding attacks. To identify such malicious UAVs that threaten the connections between normal UAVs, we introduce an impermeability method called SID-UAV that works at the level of UAV-to-UAV. The SID-UAV method, by employing a self-adaptive system, discovers the most reliable route from origin to destination. This approach deals with finding the malicious UAV and selecting the most reliable routes in several phases, including the route discovery phase, the decision-making phase, the attacker counter phase, and the knowledge database phase by using multi-module methods and applying Human Immune System (HIS). In the SID-UAV method, three main modules are intended: route analysis module, decision module, and defense module. Each of these modules has sub-modules and is distributed in different parts in UAV networks. Each module and its sub-modules have tasks, and all of these modules are connected to the knowledge base to record information in it and use the stored information quickly. The NS-3 simulator tool is exploited to simulate the proposed method. The results gained from simulation indicated that the SID-UAV method in criteria of Average Detection Ratio (ADR), Average Packet Delivery Ratio (APDR), Average Packet Lost Ratio (APLR), Average False Positive (AFP), Average False Negative (AFN) have acceptable performance relative to BRUIDS, SFA, and SUAS-HIS methods.
Possibility Pythagorean Neutrosophic Soft Sets and its Application of Decision Making in Parental Choice of Colleges
Authors: K ARULMOZHI , M Palanikumar 
Published: April 2021

Abstract
We discuss the theory of possibility Pythagorean neutrosophic soft set, possibility neutrosophic soft set and define some related the operations namely complement, union, intersection, AND and OR. To compare possibility Pythagorean neutrosophic soft sets and Pythagorean neutrosophic soft sets for dealing with decision making problems and find a similarity measure is obtain. Practical examples are provided to strengthen our results.Mathematics Subject Classiﬁcation: 03E05, 06D72
Multiple Attribute Group Decision-Making process based on Generalized Archimedean Linguistic Pythagorean Fuzzy Averaging Aggregation Operators
Authors: Verma Rajkumar , Mittal Niti 
Published: April 2021

Abstract
The linguistic Pythagorean fuzzy set (LPFS) is a prominent tool for comprehensively representing qualitative information data. Aggregation operators (AOs) play an essential role in multiple attribute group decision-making (MAGDM) problems. In the present manuscript, we define four new operational laws for linguistic Pythagorean fuzzy numbers (LPFNs) based on Archimedean t-norm and t-conorm. Paper also uses the linguistic scale function (LSF) in order to accommodate different semantic situations during the operational process. Next, we introduce some new generalized arithmetic AOs, including the generalized Archimedean linguistic Pythagorean fuzzy weighted averaging (GALPFWA) operator, the generalized Archimedean linguistic Pythagorean fuzzy ordered weighted averaging (GALPFOWA) operator, the generalized Archimedean linguistic Pythagorean fuzzy hybrid averaging (GALPFHA) operator along with their desirable properties. The developed AOs include several existing linguistic Pythagorean fuzzy aggregation operators as their particular and limiting cases. Finally, using the proposed AOs, a new approach for solving the MAGDM problem is given and illustrated with a real-life numerical example to demonstrate its flexibility and effectiveness.
Integrated Palliative Care: Triggers for referral to palliative care in ICU patients
Authors: Nadkarni Yashna , Kukec Ivana , Gruber Pascale , Jhanji Shaman , Droney Joanne 
Published: April 2021

Abstract
IntroductionPalliative care within Intensive Care Units (ICU) benefits decision making, symptom control and end-of-life care. It has shown to reduce length of ICU stay and the use of non-beneficial and unwanted life-sustaining therapies. However, it is often initiated late or not at all. There is increasing evidence behind screening ICU patients using certain criteria or “triggers”.The aim of the project was to assess the need for palliative care referral during ICU admission using “Trigger” tools.MethodsElectronic patient record review of cancer patients who died in or within 30 days of discharge from oncology ICU 2016-18. Patients referred to palliative care prior to or during ICU admission were identified. Three sets of palliative care referral “triggers” were applied: one that is being tested locally and two internationally derived tools. The proportion of patients who met any of these triggers during their final ICU admission was calculated.ResultsPatients included:149. Median age: 65 years (range 20-83).Unplanned ICU admissions: 89%.Most common diagnoses: Haemato-oncology (32%); gastrointestinal cancer (22%).Patients not known to palliative care team before ICU admission: 73%Patients referred to palliative care from ICU admission to death: 44%The overall median time (range) between palliative care referral and death: 0 (0-19) days.97% to 99% patients warranted referral to palliative care on admission to ICU, using the internationally and locally derived trigger tools.ConclusionAll “Triggers” tools identified a high proportion of patients who may have benefitted from palliative care referral on admission to ICU.
Stratum Lacunosum-moleculare Interneurons of the Hippocampus Coordinate Memory Encoding and Retrieval
Authors: Guo Jun , Oliveros Heankel , Oh So Jung , Liang Bo , Li Ying , Kavalali Ege , Lin Da-Ting , Xu Wei 
Published: April 2021

Abstract
Encoding and retrieval of memory are two processes serving distinct biological purposes but operating in highly overlapping brain circuits. It is unclear how the two processes are coordinated in the same brain regions, especially in the hippocampal CA1 region where the two processes converge at the cellular level. Here we find that the neuron-derived neurotrophic factor (NDNF)-positive interneurons at stratum lacunosum-moleculare (SLM) in CA1 play opposite roles in memory encoding and retrieval. These interneurons show high activities in learning and low activities in recall. Increasing their activity facilitates learning but impairs recall. They inhibit the entorhinal- but dis-inhibit the CA3- inputs to CA1 pyramidal cells and thereby either suppress or elevate CA1 pyramidal cells’ activity depending on animal’s behavioral states. Thus, by coordinating entorhinal- and CA3- dual inputs to CA1, these SLM interneurons are key to switching the hippocampus between encoding and retrieval modes.
Comparison of Oral Dydrogesterone with a Micronized Vaginal Progesterone in Fresh Embryo Transfer in IVF ± ICSI
Authors: Cessot Marion , Fraison Eloise , Labrune Elsa , Benchaib Mehdi , Salle Bruno 
Published: April 2021

Abstract
Introduction: Luteal insufficiency corresponds to a progesterone deficiency affecting women who receive treatment for in vitro fertilization (IVF). Different routes of progesterone administration exist and have varying degrees of acceptability to patients. The aim of this study was to compare two luteal phase support (LPS) treatments: oral dydrogesterone versus micronized vaginal progesterone on the clinical pregnancy rates after fresh embryo transfert. Material and Methods: This study was a retrospective, monocentric and observational study carried out in the reproductive medicine department at the University Hospital, Femme Mère Enfant in Lyon. 580 consecutive women between 18 and 43 years old, who completed an IVF cycle with or without ICSI, followed by fresh embryo transfer on the second or third day after oocyte retrieval (D2 or D3) or at the blastocyst stage (D5 or D6) between July 2019 and July 2020 were included.Results: In the univariate analysis, the clinical pregnancy rate per transfer was comparable between the MVP and OD groups (29.7% and 27.6% respectively with p = 0.6460). In the multivariate analysis, OD also appeared to be associated with a similar pregnancy rate compared to MVP, with a non-significant difference (p > 0.05) (OR [95% CI]): 0.922 [0.626; 1,358] with p = 0.6817. The use of OD compared to MVP did not significantly influence the clinical pregnancy rate in any age group (p > 0.05) (OR [95% CI]): 0.954 [0.657; 1.386] with p = 0.8057. There was no significant difference between the two groups in the clinical pregnancy rate, whether the patients belonged to the reference population of the center or not (p > 0.05) (OR [95% CI]): 2.367 [0.568; 3.568] with p < 0.0001. Conclusion: This is the largest retrospective study comparing these two routes of progestogens in LPS during IVF and it reinforces the use of the oral form to improve patients’ comfort.
Evaluation of moderate temperature thermal pretreatment effects on the high-solid anaerobic digestion of OFMSW
Authors: Kamali Masoud , Abdi Reza , Rohani Abbas , Abdollahpor Shamsollah , Ebrahimi Sirous 
Published: April 2021

Abstract
Anaerobic digestion (AD) of Organic Fraction of Municipal Solid Waste (OFMSW), leads to a reduction of methane emission to the atmosphere besides production of bioenergy. In this work, applying moderate temperature thermal pretreatment at 70, 90 and 110°C for the durations of 30,75,120 and 180 minutes on relatively high solid concentration (16%) OFMSW AD using batch biomethane potential assays (BMP) under mesophilic conditions has been studied. To evaluate the effects of each temperature and time of pretreatment and their interactions on methane production, factorial experiments in completely randomized design were implemented. The criteria used for deciding on the effectiveness of the thermal pretreatments were the methane enhancement and net energy production. Though, all the aforementioned thermal pretreatments increased methane yield, the energy balance evaluation revealed that the recovery of bioenergy is feasible for some of these pretreatments and could contribute to a positive energy balance. The best result of methane production (342.66 ± 6.11 ml CH4/g VS), which was approximately 34% higher compared with the specific methane production of untreated OFMSW, was obtained by implementing pretreatment at 90°C for 120 minutes as well as the net energy generation of 57.26 KWh/ton, resulting from applying this thermal pretreatment.
Defense Response of Pumpkin Rootstock To Cadmium
Authors: Chen Bi-Hua , Zhang Huai-Xia , Guo Wei-Li , Zhou Jun-Guo , Li Xin-Zheng 
Published: April 2021

Abstract
Cadmium pollution is severe in cucumber, although grafting is an effective method to improve its stress tolerance. Pumpkin is the commonly-used grafting rootstock for cucumber, and the breeding of rootstock with cadmium tolerance plays a vital role in the safe production of cucumber. However, there are no reports on rootstocks specific for cadmium tolerance. In this study, the rootstock of a pumpkin cross combination and its parents were used for the study of cadmium stress. The results indicated that under the 24mg·L− 1cadmium stress, the relative conductivity of cross combination decreased by 35.86%~36.31% compared with the parents. When the concentrations of cadmium stress were 8 mg·L− 1and 16 mg·L− 1, respectively, the peroxidase (POD) activity of cross combination was higher than those of the parents. The subcellular distribution of cadmium in the root systems of the cross and the 041 − 1 parent was in the cell wall first, followed by the cytoplasm and organelle, while that in the root system of 360-3 parent was in the cell wall first, followed by the organelle and cytoplasm. Under cadmium stress with the 24mg·L− 1concentration, the transfer coefficient of cross was significantly lower than that of the parents. The cross initiated the activity of membrane protective enzyme POD under cadmium stress, relieved the damage to membrane, and reduced the toxicity of cadmium through the accumulation of cadmium in the cell wall that blocked its entrance to the cytoplasm. This study provides a theoretical foundation to breed cadmium-tolerant rootstocks for melon vegetables.
The Change in Retinal Ellipsoid Zone Thickness in Patients with Reticular Macular Disease
Authors: Diao Yuyao , Hao Hua , Cheng Lu , Pattisapu Varun , Huang Hao , Wei Yongzhao , Cheng Hao 
Published: April 2021

Abstract
Purpose: Compare the thickness of the retinal ellipsoidal zone in patients with Reticular Macular Disease (RMD) to a control population.Methods: This case-control study was conducted on patients diagnosed with RMD at the First Affiliated Hospital of Guangzhou Medical University from April 2018 to November 2018. We identified 25 cases who were diagnosed with RMD and 20 normal control eyes. Divide the posterior pole into five regions (superior, inferior, nasal, temporal, and subfoveal zones), and manually measure the five regions posterior ellipsoidal zone thickness, all the images were obtained by SD-OCT. Generalized estimating equation models were used to control for potential confounders and within-subject variation.Results: The mean ellipsoidal zone thickness in RMD patients five regions were all significantly lower than in the control group (all P<0.01). The mean ellipsoidal zone thickness value in men with RMD has a more significant change than females. Furthermore, the mean ellipsoidal zone thickness of reticular pseudodrusen (RPD) eyes with drusen were not significantly different from the pure RPD eyes (P=0.34). Conclusions: Our findings reveal that the mechanism of RMD occurs may be related to damage to the mitochondria of photoreceptor cells, which may be one of the mechanisms that RMD occurs. When the impairment degree of mitochondria reach to a certain level, may lead to further vision loss in RMD patients. Therefore, to protect the retinal ellipsoidal zone and its mitochdrial early is important to prevent further impairment of visual function and vision loss.