bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teachers’ Attributes and Their Students’ Research Productivity
Authors: Reynaldo V. Moral  
Published: November 2024

Teachers play a significant role in the intellectual development of students in various techniques, assessments, and methods to improve student skills in school’s subjects. This study therefore, focuses on the effects of research teachers’ personal and professional attributes and their senior high school students’ research productivity. The respondents’ attitudes toward research were also looked into. These were correlated together with the students’ performance in research as evidenced by their outputs. The population of the study is comprised of 11 public and 4 private secondary schools in Cebu City. A total number of 36 research teachers with their corresponding students comprising 111 were selected through purposive sampling techniques. The reliability of the tools using Cronbach Alpha is generated above 0.783, 0.808, and 0.811 which means good and acceptable. Multiple statistical procedures, simple frequency and percentages, weighted means, and descriptive inferential analysis were employed to obtain stronger validity to the study. The results of the study identified that students’ level of research productivity are categorized as “Beginning” and having desirable attitudes towards research. Likewise, teachers have positive attitudes towards doing research and its benefits to their teaching practice and students’ learning process. Using the Pearson r and multiple regressions; the results of the study identify negligible relationship and no significant difference between most of the teacher factors and student research output. However, the teachers’ attitudes are statistically significant in relation to student’s output while the teachers’ output and students’ output have significant difference. Reliable research trainings and providing teaching materials are recommended to address these gaps.
EoT (Excellence of Things™): Digital Transformation Model for Business Excellence
Authors: Syed Mahsud Ali  
Published: November 2024

The entire digital ecosystem is disrupted due to disruptive innovation. Digital Transformation (DT) is the way of enabling businesses with innovative technology to either disrupt others in the ecosystem or protect the digital firm itself from disruption. Digital firms can either be failures or successful based on how they approach DT because DT is now at the heart of the business model of a digital firm. In the 21st century, organizations incline to implement DT, which is an exceptional means of achieving business excellence (BE) to achieve outstanding quality. Inspired by IoT’s “of the things” concept, DT-based excellence framework, “EoT – Excellence of Things™” can be developed that utilizes frameworks, platforms, services, and best practices related to BE to add value to digital firms. Thus, this study explores a theoretical model of DT-based BE. Also, the meaning of EoT™ for digital firms and DT-based BE components is explored through an in-depth interview. The Delphi method has been applied as a tool for data collection from a panel of experts from different educational and professional backgrounds. They are from several industries too.

The Nvivo application analyzed the responses acquired from the open-ended questions. The analysis generated a few ‘drivers’ that influence a digital firm to achieve EoT™. Moreover, based on the EoT™ framework discussed in this article, there are three enablers such as Corporate of Things (CoT), Lean of Things (LoT) and Data of Things (DoT). As per the participants’ responses, the significant aspects of EoT™ that have to be taken care of during the implementation of EoT™ to add value to a digital firm are supportive Organizational Culture (38%), Process Driven (23%), Strong Leadership (14%), Employee Motivation (8%), Quality Management (6%) and Excepting Digital Transformation (6%). However, other factors such as Management Commitment (2%) and Transparency (3%) are also considered aspects of EoT™ implementation. Finally, the relationship between drivers and the three enablers’ integration is discussed elaborately. The findings have implications for four principles of the EoT™ framework. Lastly, an EoT Reference Model (ERM) has been generated from the analysis. Other implications have been discussed too.
Dimensions in Testimony : illusion holographique et interaction par-delà la mort
Authors: Lemelin Isabelle 
Published: November 2024

Le présent article traite de Dimensions in Testimony, une technologie d’hologrammes 3D interactifs permettant aux visiteurs de différents musées de rencontrer et d’interroger des survivants virtuels de la Shoah qui racontent leur histoire personnelle. L’article se concentre sur les notions de « mémorial » et de « témoignage ». Après un bref rappel de l’historique et du rôle des représentations visuelles et textuelles de la Shoah, un arrêt sur ces images holographiques montre comment elles permettent de réunir les vivants et leurs doubles et, bientôt, les vivants ainsi que les morts ou leurs doubles. Enfin, à partir d’un survol de la littérature traitant de ces « illusions », d’entrevues réalisées au Musée de l’Holocauste de Montréal et de mes propres interactions avec cette technologie, ce que ces images disent de notre rapport à la mort est mis en lumière.
Common laboratory results-based artificial intelligence analysis achieves accurate classification of plasma cell dyscrasias
Authors: Yao Bihua , Liu Yicheng , Wu Yuwei , Mao Siyu , Zhang Hangbiao , Jiang Lei , Fei Cheng , Wang Shuang , Tong Jijun , Wu Jianguo 
Published: November 2024

Background
Plasma cell dyscrasias encompass a diverse set of disorders, where early and precise diagnosis is essential for optimizing patient outcomes. Despite advancements, current diagnostic methodologies remain underutilized in applying artificial intelligence (AI) to routine laboratory data. This study seeks to construct an AI-driven model leveraging standard laboratory parameters to enhance diagnostic accuracy and classification efficiency in plasma cell dyscrasias.

Methods
Data from 1,188 participants (609 with plasma cell dyscrasias and 579 controls) collected between 2018 and 2023 were analyzed. Initial variable selection employed Kruskal-Wallis and Wilcoxon tests, followed by dimensionality reduction and variable prioritization using the Shapley Additive Explanations (SHAP) approach. Nine pivotal variables were identified, including hemoglobin (HGB), serum creatinine, and β2-microglobulin. Utilizing these, four machine learning models (gradient boosting decision tree (GBDT), support vector machine (SVM), deep neural network (DNN), and decision tree (DT) were developed and evaluated, with performance metrics such as accuracy, recall, and area under the curve (AUC) assessed through 5-fold cross-validation. A subtype classification model was also developed, analyzing data from 380 cases to classify disorders such as multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS).

Results
1. Variable selection: The SHAP method pinpointed nine critical variables, including hemoglobin (HGB), serum creatinine, erythrocyte sedimentation rate (ESR), and β2-microglobulin. 2. Diagnostic model performance: The GBDT model exhibited superior diagnostic performance for plasma cell dyscrasias, achieving 93.5% accuracy, 98.1% recall, and an AUC of 0.987. External validation reinforced its robustness, with 100% accuracy and an F1 score of 98.5%. 3. Subtype Classification: The DNN model excelled in classifying multiple myeloma, MGUS, and light-chain myeloma, demonstrating sensitivity and specificity above 90% across all subtypes.

Conclusions
AI models based on routine laboratory results significantly enhance the precision of diagnosing and classifying plasma cell dyscrasias, presenting a promising avenue for early detection and individualized treatment strategies.
Evaluating the Efficacy of Insecticide on the Management of Onion Thrips (Thrips tabaci, Lindemann) in Northwestern Zone of Tigray
Authors: Gebremichael Yohannes , Asgele Kiros , Gebretsadkan Gebremedhin 
Published: November 2024

Ethiopia has enormous potential to produce the onions throughout the year both for domestic use and export market. It is also the most cultivated and high market value of vegetable crops in Tigray Northern Ethiopia. However, the productivity of onion is highly constrained such as insect pests, diseases, lack of improved verities, lack of improved management practices etc. The major insect pest of onion is Onion thrips and important pests especially in areas where onions are grown under irrigation. The purpose of this study was to test the insecticide chemicals application and application frequency on the Onion production technologies. Therefore, field experiment was conducted to evaluate the insecticide chemical applications with frequency application in 2017 and 2018 under irrigation conditions. Thirteen treatments were used three different insecticide types namely Karatae 5% EC, Dimethote 40%EC, Profit72%EC with four different spraying frequency and untreated (control) laid out in Randomized Complete Block Design (RCBD) with three replications. The current findings showed that the profitable yield was obtained Karatae 5% EC (1st spray) (14.25 t ha-1) followed by Profit72%EC (4th spray) that is (20.25 t ha-1) and the obtained profit was 128053 &181788 birr per ha with the maximum Marginal Rate of Return of 3025 & 2417% respectively in Tselemti woreda. In Medebaayzana woreda also, the profitable yield was obtained Karatae 5% EC (1st spray) (25.79 t ha-1) followed by Karatae 5% EC (4st spray) at (27.75 t ha-1) & Dimethote 40% EC (3rd spray) at (25.78 t ha-1) and 231976, 249463 & 231544 birr per ha obtained profit with the maximum Marginal Rate of Return of 2634, 2395 & 2311 % respectively. Therefore, Karatae 5% EC (1st spray) in Tselemti & Medebayzana woreda & Profit72%EC (4th spray) in Tselemti woreda and Dimethote 40% EC (3rd spray) in Medebayzana woreda was profitable preventive Onion Thrips for Onion production in the studies area.
Stimuli‐Responsive Neuronal Networking via Removable Alginate Masks
Authors: Joo Sunghoon , Song Seuk Young , Nam Yoon Sung , Nam Yoonkey 
Published: May 2018

AbstractThe neuron patterning method has been applied to cultured neuronal networks to achieve better reproducibility and various experimental conditions in brain research. However, as models of dynamic environments, conventional patterned neural networks having an unalterable structure formed by a preprogrammed substrate have limitations, such as replicating the changes in the physical structure of networks in vivo. This study presents a novel culture technique that can control the location of the neuronal cell bodies constituting the network and the connection of the isolated neuronal networks at a desired time point. Alginate hydrogel, which has a cell‐repellent property and is dissolvable by weak chemical treatment, is used as a background masking material for patterning. Axon growth from neural clusters to the background area formed by a microwell‐patterned alginate layer is possible due to removal of the alginate layer, triggering synchronized spontaneous firing of the neuronal clusters. This technique was combined with a microelectrode array system to observe dynamic changes in neuronal activity according to the transformed morphology of the network. Finally, the clustered network structure formed by this technique showed greatly improved spontaneous firing rates and spike amplitudes compared to the network model prepared using an existing uniform structure.
Flatlands in the Holy Land: The Evolution of Layered Materials Research in Israel
Authors: Hod Oded , Urbakh Michael , Naveh Doron , Bar‐Sadan Maya , Ismach Ariel 
Published: May 2018

AbstractThe experimental identification of fullerenes in 1985, carbon nanotubes in 1991, inorganic nanotubes in 1992, and graphene in 2004 are cornerstone events that have marked the beginning of the layered nanostructures era of materials science. Nowadays, the synthesis of such low‐dimensional systems is a routine practice allowing the controlled fabrication of 0‐, 1‐, and 2D layered structures of diverse chemical compositions. These systems possess unique physical properties that stem from their structural anisotropy characterized by strong intralayer covalent bonding and weaker interlayer dispersive interactions. This, in turn, results in promising functionality that attracts the attention of scientists from many disciplines including chemists, physicists, material scientists, engineers, as well as life scientists that are interested in both their basic and applied science aspects. Here, a short review of the contribution of the Israeli scientific community to this effort over the past 3 decades, is provided.
Rational Molecular Design for Efficient Exciton Harvesting, and Deep‐Blue OLED Application
Authors: Yang Jie , Guo Qingxun , Wang Jiaqiang , Ren Zichun , Chen Jingxi , Peng Qian , Ma Dongge , Li Zhen 
Published: May 2018

AbstractThe efficient deep‐blue luminogens with hybrid local and charge transfer (HLCT) excited state have drawn much attention for their potential in the full utilization of excitons with the corresponding excellent electroluminescent (EL) performance. However, almost all luminogens reported so far are phenanthroimidazole derivatives and the simplex molecular structures constrain their further development in a large degree. Here, a new kind of deep‐blue HLCT system based on triphenylbenzene is successfully designed and synthesized. Thanks to the balanced HLCT character, the exciton utilizing efficiencies of Cz‐TPB and CzPh‐TPB can be up to 86% and 85% with the Commission International de l'Eclairage (CIE) coordinates of (0.15, 0.09) and (0.15,0.13) in nondoped organic light emitting diodes (OLEDs), which are among the highest values for HLCT emitters. Thus, this report might open up a new approach to develop low‐cost, high‐efficiency deep‐blue materials with HLCT character.
Localized All‐Optical Control of Single Semiconductor Quantum Dots through Plasmon Polariton‐Induced Screening
Authors: Seaton Matt , Krasnok Alex , Bracker Allan S. , Alù Andrea , Wu Yanwen 
Published: May 2018

AbstractDue to their ability to strongly modify the local optical field through the excitation of surface plasmon polaritons (SPPs), plasmonic nanostructures are often used to reshape the emission direction and enhance the radiative decay rate of quantum emitters, such as semiconductor quantum dots (QDs). These features are essential for quantum information processing, nanoscale photonic circuitry, and optoelectronics. However, the modification and enhancement demonstrated thus far have typically led to drastic alterations of the local energy density of the emitters, and hence their intrinsic optical properties, leaving little room for active control. Here, dynamic tuning of the energy states of a single semiconductor QD is demonstrated by optically modifying its local dielectric environment with a nearby plasmonic structure, instead of directly coupling it to the QD. This technique leaves intact the intrinsic optical properties of the QD, while enabling a reversible all‐optical control mechanism that operates below the diffraction limit at low power levels.
Enantioselective Iodine(I/III) Catalysis in Organic Synthesis
Authors: Flores Andrea , Cots Eric , Bergès Julien , Muñiz Kilian 
Published: May 2018

AbstractChiral aryliodine(III) reagents have provided an advanced concept for enantioselective synthesis and catalysis. With the advent of chiral iodine(I/III) catalysis, many different structures have been explored in the area. The currently most prominent catalyst design is based on a resorcinol core and the attachment of two lactic side chains bearing ester or amide groups. This enables a privileged modular catalyst synthesis, in which fine‐tuning with respect to the specific reaction requirement is straightforward. The present overview summarizes the structural variation and optimization of such chiral aryliodine catalysts and discusses structural properties of the active iodine(III) catalyst states. The status quo of enantioselective iodine(I/III) oxidation catalysis with respect to intramolecular and intermolecular reaction control is reviewed, and specific aspects of the individual catalytic cycles are discussed.magnified image
Biocatalytic Parallel Interconnected Dynamic Asymmetric Disproportionation of α‐Substituted Aldehydes: Atom‐Efficient Access to Enantiopure (S)‐Profens and Profenols
Authors: Tassano Erika , Faber Kurt , Hall Mélanie 
Published: May 2018

AbstractThe biocatalytic asymmetric disproportionation of aldehydes catalyzed by horse liver alcohol dehydrogenase (HLADH) was assessed in detail on a series of racemic 2‐arylpropanals. Statistical optimization by means of design of experiments (DoE) allowed the identification of critical interdependencies between several reaction parameters and revealed a specific experimental window for reaching an ′optimal compromise′ in the reaction outcome. The biocatalytic system could be applied to a variety of 2‐arylpropanals and granted access in a redox‐neutral manner to enantioenriched (S)‐profens and profenols following a parallel interconnected dynamic asymmetric transformation (PIDAT). The reaction can be performed in aqueous buffer at ambient conditions, does not rely on a sacrificial co‐substrate, and requires only catalytic amounts of cofactor and a single enzyme. The high atom‐efficiency was exemplified by the conversion of 75 mM ofrac‐2‐phenylpropanal with 0.03 mol% of HLADH in the presence of ∼0.013 eq. of oxidized nicotinamide adenine dinucleotide (NAD+), yielding 28.1 mM of (S)‐2‐phenylpropanol in 96%eeand 26.5 mM of (S)‐2‐phenylpropionic acid in 89%ee, in 73% overall conversion. Isolated yield of 62% was obtained on 100 mg‐scale, with intact enantiopurities.magnified image
CsPbCl3‐Driven Low‐Trap‐Density Perovskite Grain Growth for >20% Solar Cell Efficiency
Authors: Jiang Jiexuan , Jin Zhiwen , Gao Fei , Sun Jie , Wang Qian , Liu Shengzhong (Frank) 
Published: May 2018

AbstractCharge recombination in grain boundaries is a significant loss mechanism for perovskite (PVK) solar cells. Here, a new strategy is demonstrated to effectively passivate trap states at the grain boundaries. By introducing a thin layer of CsPbCl3 coating before the PVK deposition, a passivating layer of PbI2 is formed at the grain boundaries. It is found that at elevated temperature, Cl− ions in the CsPbCl3 may migrate into the PVK via grain boundaries, reacting with MA+ to form volatile MACl and leaving a surface layer of PbI2 at the grain boundary. Further study confirms that there is indeed a small amount of PbI2 distributed throughout the grain boundaries, resulting in increased photoluminescence intensity, increased carrier lifetime, and decreased trap state density. It is also found that the process passivates only grain surfaces, with no observable effect on the morphology of the PVK thin film. Upon optimization, the obtained PVK‐film‐based solar cell delivers a high efficiency of 20.09% with reduced hysteresis and excellent stability.
2D Zn‐Hexamine Coordination Frameworks and Their Derived N‐Rich Porous Carbon Nanosheets for Ultrafast Sodium Storage
Authors: Liu Sitong , Zhou Jisheng , Song Huaihe 
Published: May 2018

AbstractMetal‐organic coordination frameworks have been widely used as efficient precursors for the preparation of functional carbon‐based materials with various nanostructures. However, to date, the design of 2D carbon nanostructures from single coordination frameworks remains a great challenge. Herein, an efficient strategy for the fabrication of N‐rich porous carbon nanosheets from 2D Zn‐hexamine coordination framework nanosheets is developed. Remarkably, the N‐doping level of carbon nanosheets can attain 16.54 at%. In addition, the thickness of the carbon nanosheets can effectively be tuned by simply adjusting the molar ratio of the starting materials. As a proof‐of‐concept application, the as‐prepared carbon nanosheets as an anode material for sodium‐ion batteries exhibit an ultrafast sodium storage capability of 194 mAh g−1 even at 10 A g−1. As far as it is known, such a high‐rate capability has been rarely achieved in previous studies on carbonaceous anode materials for Na‐ion storage. Moreover, this approach is readily controllable and could be extended to prepare a series of 2D N‐doped carbon‐based nanomaterials on a large scale.
Binding Matter with Antimatter: The Covalent Positron Bond
Authors: Charry Jorge , Varella Márcio T. do N. , Reyes Andrés 
Published: May 2018

AbstractWe report sufficient theoretical evidence of the energy stability of the e+⋅H22− molecule, formed by two H− anions and one positron. Analysis of the electronic and positronic densities of the latter compound undoubtedly points out the formation of a positronic covalent bond between the otherwise repelling hydride anions. The lower limit for the bonding energy of the e+⋅H22− molecule is 74 kJ mol−1 (0.77 eV), accounting for the zero‐point vibrational correction. The formation of a non electronic covalent bond is fundamentally distinct from positron attachment to stable molecules, as the latter process is characterized by a positron affinity, analogous to the electron affinity.
Kohlenstoffnanofaser‐Aerogele: Vergleich von Chemosynthese und Biosynthese
Authors: Wu Zhen‐Yu , Liang Hai‐Wei , Hu Bi‐Cheng , Yu Shu‐Hong 
Published: May 2018

AbstractKohlenstoff‐Aerogele, die typischerweise mit Sol‐Gel‐Chemie hergestellt werden, bestehend aus einzigartigen dreidimensionalen Netzwerken von nanometergroßen Partikeln und weisen faszinierende physikalische Eigenschaften mit großen Anwendungspotenzialen auf. Um die praktischen Anwendungen voranzubringen, ist es dringend notwendig, effiziente und kostengünstige Verfahren zur Herstellung von hochleistungsfähigen Kohlenstoff‐Aerogelen in großem Maßstab zu entwickeln, und das vorzugsweise auf eine nachhaltige Art und Weise. Im Jahr 2012 wurde über zwei neue Klassen von Aerogelen aus Kohlenstoff‐Nanofasernetzwerken (CNF) berichtet. Sie wurden aus einem aus Biomasse gewonnenen Vorläufer durch Chemosynthese (d. h. templatgesteuerte hydrothermale Karbonisierung von Kohlenhydraten) und Biosynthese (d. h. Verwendung von bakterieller Cellulose als Vorstufe) hergestellt. Dieser Aufsatz gibt einen kritischen Überblick über dieses neuartige Gebiet und beschränkt sich dabei auf die Synthesestrategien der Kohlenstoffnanofaser‐Aerogele und ihre hervorragenden physikalischen Eigenschaften. Ebenso besprechen wir das Potenzial für die multifunktionale Anwendungen der beiden neuartigen Kohlenstoff‐Aerogele und ihrer Nanokomposite und zeigen die Herausforderungen und die zukünftigen Möglichkeiten in diesem spannenden Gebiet auf.
Die Chemie des 2‐Phosphaethinolat‐Anions
Authors: Goicoechea Jose M. , Grützmacher Hansjörg 
Published: May 2018

AbstractDie erste Synthese des 2‐Phosphaethinolat‐Anions, PCO−, gelang sehr wahrscheinlich bereits 1894 bei dem Versuch, durch Umsetzung von NaPH2 mit Kohlenmonoxid Na(CP) herzustellen. Erst 117 Jahre später wurde diese Reaktion wiederholt und entdeckt, dass Na(OCP) und H2 die Produkte dieser Umsetzung sind. Li(OCP) wurde 1992 synthetisiert und vollständig charakterisiert, jedoch erwies sich dieses Salz als zu instabil, um detaillierte Untersuchungen vornehmen zu können. Man benötigt die schwereren Analoga dieses Lithiumsalzes, Na(OCP) und K(OCP), die beachtlich stabil sind und sogar in Wasser gelöst werden können, um die Chemie dieser neuen funktionellen Gruppe vollständig zu erforschen. Wir geben hier einen Überblick über die Chemie des 2‐Phosphaethinolat‐Anions, eines schweren Phosphoranalogons des Cyanat‐Anions, und beschreiben das breite Spektrum an chemischen Transformationen, in denen es bisher eingesetzt wurde. Seine Verwendung als Ligand, als Reagenz in Decarbonylierung‐ und Deoxygenierungsprozessen sowie als Baustein für neuartige Heterocyclen wird berichtet. In den 26 Jahren seit Becker über die Isolierung dieses bemerkenswerten Anions erstmals berichtete, ist es zu einem faszinierenden Reagens für die Synthese einer Vielzahl von – oftmals beispiellosen – Molekülen und Verbindungen geworden.