bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ethical decision‐making approach of school counseling: A concurrent mixed methods study for taking actions
Authors: Tsega Tigist Wuhib 
Published: June 2024

AbstractThe main purpose of this research was to identify ethical decision‐making approaches in school counseling. The study focused on the experiences of secondary school counselors in Addis Ababa, Ethiopia. A concurrent triangulation mixed methods design was used for getting a complete understanding of ethical decision‐making approaches of school counseling. Forty participants were involved in the quantitative part of the study, while six participated in the qualitative part of the study. For the quantitative aspect, a survey was utilized, and the data were analyzed using tables, frequencies, and percentages. The result showed that participants used variety of approaches to deal with ethical challenges for school counseling, including open discussion, personal sense of morality, and respecting code of students' discipline. However, the least percentage (22.5%, n = 9) has observed for using of code of ethics in counseling profession. In the qualitative part, semi‐structured in‐depth interviews were used to explore the experiences of ethical decision‐making and the meaning of those experiences for secondary school counselors currently practicing at Addis Ababa city. Qualitative data were analyzed by using thematic analysis technique. The major ethical decision‐making approaches identified in school counseling were (a) building a good relationship and guaranteed confidentiality, (b) referral linkage, (c) training for students and collaboration, and (d) life experience and personal sense of morality. The most common meanings attributed to dealing with ethical challenges in school were the urge to share information with to get personal relief, feeling of stress, and gain personal satisfaction from acts of compassion. Implications are forwarded to support school counselors in taking an action for professional development and to promote quality of school counseling practices.
Developing Correlation Between In Silico Molecular Modeling and In Vitro α‐Amylase, Anti‐Cancer and SARS‐COV‐2 Studies of Bis‐Indole Derived Triazine‐Based Thiazolidinone Hybrid Derivatives
Authors: Khan Shoaib , Hussain Rafaqat , Khan Yousaf , Iqbal Tayyiaba , Shoaib Khurram , Jehangir Uzma , Khowdiary M. M. , Felemban Shifa 
Published: June 2024

AbstractIn the era of COVID‐19 most of the marketed drugs have been found with some negative effects as well as with fewer numbers in the market. There is a serious need of an anti‐COVID agent which can maintain the normal body function with fewer or no side effects. For this purpose, hybrid derivatives based on bis‐indole derived triazine based thiazolidinone derivatives (1–12) were successfully synthesized and characterized using various spectroscopic techniques including 1H NMR, 13C NMR and HREI‐MS. All the synthesized bis‐indole derived triazine‐bearing thiazolidinone derivatives were tested for in vitro α‐amylase, cancer cell and SARS‐COV‐2 enzymes under the positive control of Acarbose, Tetrandrine and GC‐376 as standard drugs. All derivatives showed varied range of biological activities against target enzymes having IC50 values ranging from 3.10±0.20 to 25.80±0.20 μM (α‐amylase), 0.20±0.30 to 19.10±0.20 μM (ant‐cancer) and 3.20±0.20 to 16.20±0.30 μM (SARS‐COV‐2), respectively. Specifically, derivatives 1, 3, 6, 8 and 9 were found to significantly active against target enzymes. Furthermore, the molecular docking approach was used to explore the binding interactions established by most active derivatives with the active sites of target enzymes and results corroborated that these active compounds developed several key interactions with the target enzymes and hence enhanced the enzymatic activities. Additionally, ADME prediction for the synthesized compounds were also explored which shows drug likeness of the synthesized compounds.
Insight into the Contact Mechanism of Ag/Al–Si Interface for the Front‐Side Metallization of TOPCon Silicon Solar Cells
Authors: Li Yongsheng , Zhou Rui , Chen Ziwei , Li Yuhang , Cheng Xing , Zhang Bo , Chen Jun , Lin Yuan , Pan Feng 
Published: June 2024

AbstractFor N‐type tunnel‐oxide‐passivated‐contact silicon solar cells, optimal Ag/Al–Si contact interface is crucial to improve the efficiency. However, the specific roles of Ag and Al at the interface have not been clearly elucidated. Hence, this work delves into the sintering process of Ag/Al paste and examines the impact of the Ag/Al–Si interface structure on contact quality. By incorporating TeO2 into PbO‐based Ag/Al paste, the Ag/Al–Si interface structure can be modulated. It can be found that TeO2 accelerates the sintering of Ag powder and increases Ag colloids within glass layer, while it simultaneously impedes the diffusion of molten Al. It leads to a reduced Al content near the Ag/Al–Si interface and a shorter diffusion distance of Al into Si. Notably, it can be demonstrated that the diffusion of Al in Si layer is more effective to reduce the contact resistance than the precipitation of Ag colloids. Therefore, the PbO‐based Ag/Al paste, which favors Al diffusion, leads to solar cells with lower contact resistance and series resistance, higher fill factor, and superior photoelectric conversion efficiency. In brief, this work is significant for optimizing metallization of silicon solar cells and other semiconductor devices.
Ermüdungsfestigkeit von Betonfahrbahnplatten bei Verbundgroßbrücken
Authors: Stempniewski Lena , Kuhlmann Ulrike 
Published: June 2024

AbstractIm Stützbereich von Verbundgroßbrücken entstehen aufgrund der negativen Momentenbeanspruchung Zugbeanspruchungen in der Betonfahrbahnplatte, die zu Rissen führen. Im Querrahmenabstand werden stählerne Kragträger unter der Fahrbahn u. a. zur Auflagerung von Teilfertigteilen angeordnet, sodass die Fahrbahnplatte überwiegend in Längsrichtung spannt. Typischerweise haben diese Fahrbahnplatten hohe Längsbewehrungsgrade, aber keine Querkraftbewehrung. Über die infolge der Zugbeanspruchung gerissene Fahrbahnplatte müssen aufgrund lokaler Radlasten durch wechselnde Verkehrsbelastung zyklisch veränderliche Querkräfte zu den Querträgern abgetragen werden. Bislang lagen keine Versuche vor, die die Ermüdungsfestigkeit der gerissenen Betonfahrbahnplatte abbilden. Auf Basis von Versuchen aus der Literatur (wobei es bislang ausschließlich aussagekräftige Versuche ohne Längszugbeanspruchung gab) sowie eigenen Experimenten (mit Längszugbeanspruchung) wurde eine Datenbank aufgebaut, anhand derer Wöhlerlinien abgeleitet werden konnten und die die gezielte Auswertung des Einflusses verschiedener Parameter erlaubte. Da die Ermüdungsfestigkeit von Stahlbetonbauteilen ohne Querkraftbewehrung von der statischen Tragfähigkeit abhängig ist, wird insbesondere auch auf den Einfluss der Streuung dieser auf die Ermüdungsfestigkeit eingegangen. Basierend auf den Ergebnissen und dem aktuellen Stand der Normung wird ein Bemessungskonzept zur Ermüdungsfestigkeit der Betonfahrbahnplatte vorgestellt.
Quantification of phenol degradation using hydrodynamic cavitation‐based packed bed reactor based on glass balls
Authors: Mohod Ashish V. , Clemente Danilo B. , Klanovicz Natalia , Moreira Paulo F. , Bagal Manisha V. , Teixeira Antonio Carlos S. C. , Giudici Reinaldo 
Published: June 2024

AbstractThe current study presents a novel and effective cavitation technique for the degradation of phenol using a hydrodynamic cavitation‐based packed bed reactor (HCPBR). Several operational parameters, including fluid velocity, hydrogen peroxide (H2O2) generation (18.06 μM of H2O2 in 60 min), and initial phenol concentration, have been studied using a HCPBR. The effective parameters for phenol degradation were found to be a fluid velocity of 85.15 m/s and an initial phenol concentration of 20 ppm. It was also noted that the presence of a glass marble‐bed (15.35%) in the cavitation reactor exhibits a substantial effect on the degradation of phenol compared to the absence of a glass marble‐bed (2.91%). The investigation also examined the effect of combining hydrodynamic cavitation with chemical oxidation processes, specifically H2O2, persulfate (Na2S2O8 and K2S2O8), and titanium dioxide, on the extent of phenol degradation. Persulfate was shown to have a significant effect on phenol degradation at 1 g/L. To clarify if free radical attack is the driving force behind degradation, the impact of radical scavengers such as n‐butanol has also been examined. Toxicological assessments revealed that, for lentil meristematic cells, the therapy was quite cytotoxic, but it needs to be improved to eliminate its genotoxic side effects. Overall, the experiment clearly demonstrated the effectiveness of the HCPBR for phenol degradation.
Nominal CaAl2Pt2 and Ca2Al3Pt – two new Intermetallic Compounds in the Ternary System Ca−Al−Pt
Authors: Engel Stefan , Koch Marcus , Janka Oliver 
Published: June 2024

AbstractSingle crystals of CaAl2Pt2, Ca2Al3Pt and Ca2AlPt2 were initially observed in an attempt to synthesize Ca3Al4Pt4. Their structures were determined using single‐crystal X‐ray diffraction experiments. While nominal CaAl2Pt2 (CaBe2Ge2 type, P4/nmm, a=426.79(2), c=988.79(6) pm, wR2=0.0679, 246 F2 values and 18 variables) and Ca2Al3Pt (Mg2Cu3Si type, P63/mmc, a=561.46(5), c=876.94(8) pm, wR2=0.0664, 214 F2 values and 13 variables) exhibit Al/Pt mixing, for Ca2AlPt2 (Ca2Ir2Si type, C2/c, a=981.03(2) b=573.74(1), c=772.95(2) pm, β=101.862(1)° wR2=0.0307, 2246 F2 values and 25 variables) no mixing was observed. Subsequently, the nominal compositions were targeted with synthetic attempts from the elements using arc‐melting and annealing techniques. For CaAl2Pt2 and Ca2Al3Pt always multi‐phase mixtures were observed while Ca2AlPt2 could be obtained as almost X‐ray pure material. Quantum‐chemical calculations were used to investigate the charge transfer in these compounds rendering them polar intermetallics with a designated [AlxPty]δ− polyanion and Caδ+ cations in the cavities of the polyanions.
Big Data in Restaurant Management: Unsupervised Modelling of Ticket Data and Environmental Variables for Sales Forecasting
Authors: Gómez-Talal Ismael , González-Serrano Lydia , Talón-Ballestero Pilar , Rojo-Álvarez José Luis 
Published: June 2024

AbstractRevenue Management (RM) is one of the challenges facing the restaurant industry, mainly due to the lack of technology in this sector and the lack of data. Forecasting is the most valuable input of RM. For this reason, the main objective of this research is the proposal of a sales forecasting model based on the data provided by the tickets of a restaurant to extract information that allows the correct management of price and capacity. A system based on an unsupervised Machine Learning (ML) model was implemented to analyze the information and visualize the relationships between dishes and temperatures. The developed system uses unsupervised ML techniques, such as multicomponent analysis and bootstrap sampling, to identify and visualize statistically relevant relationships between data. This study provides a simple and understandable solution to improve management and maximize profits to support restaurant managers’ decision-making.
The Impact of the Pandemic on the P2P Market for Tourist Accommodation
Authors: Benítez-Aurioles Beatriz 
Published: June 2024

AbstractThis paper examines the impact of the COVID-19 pandemic, which was declared in March 2020, on the peer-to-peer (P2P) market for tourist accommodation, focusing on supply, demand, and prices. By analyzing monthly data between February 2019 to February 2021 from 15 cities across Europe, North America and Australia, the study provides insights into the changes experienced in the P2P market during the pandemic. The ensuing findings indicate a significant decline in both supply and demand. The number of reviews, serving as a proxy for demand, shows a clear downward trend that reflects the reduced travel activity during the pandemic. In parallel, the number of listings decreases, highlighting the adaptability of supply to demand shocks. The pandemic also led to a notable decrease in prices, as observed in the analysis of price data and backed by previous studies. Professional hosts demonstrate their capacity to adapt by adjusting prices and minimum stays to attract a stable demand. This finding aligns with previous research that displays the strategic responses of professional hosts to market conditions. Furthermore, the results contribute to the existing literature by providing empirical evidence of the simultaneous decline in supply and demand, leading to lower prices and income for hosts. The strategic responses of professional hosts make evident their adaptability in the P2P market.
Lexical Competence in New Digital Environments: The Metaverse and Its Application to Tourism Science
Authors: Serra-Pfennig Isabel 
Published: June 2024

AbstractThis work is based, on the one hand, on the experience with the metaverse carried out in an exhibition that took place at the Matadero Contemporary Creation Center in Madrid (09.22.2022–January 29, 2023), titled Metaverses, Realities in transition.
Assessing Tourists’ Perception of ‘Smartness’ in a Destination: A Case Study of Tenerife Island
Authors: Mesegue-Basallo Miquel Armand , Marti-Ochoa Julia , Ferrer-Rosell Berta , Martin-Fuentes Eva 
Published: June 2024

AbstractSmart Tourism Destinations (STDs) have been presented as a key element to boost the tourism sector and keep it adapted to the changing needs of governments, local inhabitants and tourists. The Spanish government launched the STDs’ Network in 2013 to adapt Spanish tourist destinations to evolving needs. The program aims to create customized, accessible experiences using technology and innovation while ensuring sustainability. To be recognized as a STD, destinations must meet 80% of requirements set, classified into governance, innovation, technology, universal accessibility, and sustainability. The study aims to examine tourists’ awareness of the smart characteristics of destinations, by analyzing user-generated content. The data collection focuses on Tenerife Island's top attractions and includes reviews from the English section of TripAdvisor's “things to do” category. The analysis reveals changes in tourists’ comments and highlights that tourists are aware of some indicators and objectives such as accessibility. The article sheds light on the concept of STDs and their implications for the tourism industry.
A Modern Approach to Transition Analysis and Process Mining with Markov Models in Education
Authors: Helske Jouni , Helske Satu , Saqr Mohammed , López-Pernas Sonsoles , Murphy Keefe 
Published: June 2024

AbstractThis chapter presents an introduction to Markovian modelling for the analysis of sequence data. Contrary to the deterministic approach seen in the previous sequence analysis chapters, Markovian models are probabilistic models, focusing on the transitions between states instead of studying sequences as a whole. The chapter provides an introduction to this method and differentiates between its most common variations: first-order Markov models, hidden Markov models, mixture Markov models, and mixture hidden Markov models. In addition to a thorough explanation and contextualisation within the existing literature, the chapter provides a step-by-step tutorial on how to implement each type of Markovian model using the R package seqHMM. The chapter also provides a complete guide to performing stochastic process mining with Markovian models as well as plotting, comparing and clustering different process models.
Predictive Modelling in Learning Analytics: A Machine Learning Approach in R
Authors: Jovanovic Jelena , López-Pernas Sonsoles , Saqr Mohammed 
Published: June 2024

AbstractPrediction of learners’ course performance has been a central theme in learning analytics (LA) since the inception of the field. The main motivation for such predictions has been to identify learners who are at risk of low achievement so that they could be offered timely support based on intervention strategies derived from analysis of learners’ data. To predict student success, numerous indicators, from varying data sources, have been examined and reported in the literature. Likewise, a variety of predictive algorithms have been used. The objective of this chapter is to introduce the reader to predictive modelling in LA, through a review of the main objectives, indicators, and algorithms that have been operationalized in previous works as well as a step-by-step tutorial of how to perform predictive modelling in LA using R. The tutorial demonstrates how to predict student success using learning traces originating from a learning management system, guiding the reader through all the required steps from the data preparation all to the evaluation of the built models.
χc2 tensor meson transition form factors in the light front approach
Authors: Babiarz Izabela , Pasechnik Roman , Schäfer Wolfgang , Szczurek Antoni 
Published: June 2024

Abstract
We continue our work on the light-front formulation of quarkonium γ∗γ transition form factors, extending the formalism to JPC = 2++ tensor meson states. We present an analysis of γ∗γ → χc2 transition amplitude and the pertinent helicity form factors. Our relativistic formalism is based on the light-front quark-antiquark wave function of the quarkonium. We calculate the two-photon decay width as well as three independent γ∗γ transition form factors for Jz = 0, 1, 2 as a function of photon virtuality Q2. We compare our results for the two-photon decay width to the recently measured ones by the Belle and BES III collaborations. Even when including relativistic corrections, a very small Γ(λ = 0)/Γ(λ = 2) ~ 10−3 ratio is found which is beyond present experimental precision. We also present the form factors as a function of photon virtuality and compare them to the sparse experimental data on the so-called off-shell width. The formalism presented here can be used for other 2++ mesons, excited charmonia or bottomonia or even light $$ q\overline{q} $$
q

q
¯

-mesons.
EphB2 activation in neural stem cells in the basolateral amygdala facilitates neurogenesis and enhances long-term memory
Authors: Agarwal Karishma , Lamprecht Raphael 
Published: June 2024

AbstractMany brain diseases lead to a reduction in the number of functional neurons and it would be of value to be able to increase the number of neurons in the affected brain areas. In this study, we examined whether we can promote neural stem cells to produce mature neurons and whether an increase in the mature neurons can affect cognitive performance. We detected that the EphB2 receptor is localized in immature basolateral amygdala (BLA) neurons. We therefore aimed to increase the level of EphB2 activity in neural stem cells (NSCs) in the BLA and examine the effects on the production of mature neurons and cognition. Toward that end, we utilized a photoactivatable EphB2 construct (optoEphB2) to increase EphB2 forward signaling in NSCs in the BLA. We revealed that the activation of optoEphB2 in NSCs in the BLA increased the level of immature and mature neurons in the BLA. We further found that activation of optoEphB2 in BLA NSCs enhanced auditory, but not contextual, long-term fear memory formation. Impairing EphB2 forward signaling did not affect the level of immature and mature neurons in the BLA. This study provides evidence that NSCs can be promoted to produce mature neurons by activating EphB2 to enhance specific brain functions.
Applicability of Deep Learning to Dynamically Identify the Different Organs of the Pelvic Floor in the Midsagittal Plane
Authors: García-Mejido José Antonio , Solis-Martín David , Martín-Morán Marina , Fernández-Conde Cristina , Fernández-Palacín Fernando , Sainz-Bueno José Antonio 
Published: June 2024

Abstract

Introduction and Hypothesis
The objective was to create and validate the usefulness of a convolutional neural network (CNN) for identifying different organs of the pelvic floor in the midsagittal plane via dynamic ultrasound.

Methods
This observational and prospective study included 110 patients. Transperineal ultrasound scans were performed by an expert sonographer of the pelvic floor. A video of each patient was made that captured the midsagittal plane of the pelvic floor at rest and the change in the pelvic structures during the Valsalva maneuver. After saving the captured videos, we manually labeled the different organs in each video. Three different architectures were tested—UNet, FPN, and LinkNet—to determine which CNN model best recognized anatomical structures. The best model was trained with the 86 cases for the number of epochs determined by the stop criterion via cross-validation. The Dice Similarity Index (DSI) was used for CNN validation.

Results
Eighty-six patients were included to train the CNN and 24 to test the CNN. After applying the trained CNN to the 24 test videos, we did not observe any failed segmentation. In fact, we obtained a DSI of 0.79 (95% CI: 0.73 – 0.82) as the median of the 24 test videos. When we studied the organs independently, we observed differences in the DSI of each organ. The poorest DSIs were obtained in the bladder (0.71 [95% CI: 0.70 – 0.73]) and uterus (0.70 [95% CI: 0.68 – 0.74]), whereas the highest DSIs were obtained in the anus (0.81 [95% CI: 0.80 – 0.86]) and levator ani muscle (0.83 [95% CI: 0.82 – 0.83]).

Conclusions
Our results show that it is possible to apply deep learning using a trained CNN to identify different pelvic floor organs in the midsagittal plane via dynamic ultrasound.
Arbeitsschutz für Rechtsmedizinerinnen während Schwangerschaft und Stillzeit – Teil 1: arbeitsrechtliche Rahmenbedingungen
Authors: Schäffer Benno , Ochmann Uta , Graw Matthias 
Published: June 2024

Zusammenfassung
Hintergrund
Der Arbeitsschutz für Rechtsmedizinerinnen ist sowohl auf europäischer als auch auf nationaler Ebene in zahlreichen Rechtsvorschriften geregelt. Ein besonderer Schutz besteht in Schwangerschaft und Stillzeit.

Methode
Die Arbeit beruht auf selektiver Literaturrecherche. Der Schwerpunkt liegt auf dem Thema des Mutterschutzes.

Ergebnisse
Schwangere und Stillende werden insbesondere durch das Mutterschutzgesetz (MuSchG) geschützt. Dieses regelt u. a. Beschäftigungszeit, Schutzfristen und Kündigungsverbot.

Diskussion
Mutterschützende Arbeitszeitbestimmungen setzen eine ordnungsgemäße Arbeitszeiterfassung voraus. Arbeitgeber sollten geschlechtsspezifische Unterschiede bei der Gefährdungsbeurteilung berücksichtigen. Betriebsärzte können hierbei unterstützen.
Semilattices of stratified extensions
Authors: Renshaw James , Warhurst William 
Published: June 2024

AbstractGrillet (Semigroup Forum 50:25–36, 1995) introduced the concept of stratified semigroups as a kind of generalisation of finite nilsemigroups. We extend Grillet’s ideas by introducing the notion of the base of a semigroup and show that a semigroup is stratified if and only if its base is either empty or consists of only the zero element. The general structure of semigroups with non-trivial bases is studied and we show that these can be described in terms of ideal extensions of semigroups by stratified semigroups. We consider certain types of group-bound semigroups and also ideal extensions of Clifford semigroups, and show how to describe them as semilattices of ideal extensions by stratified semigroups and provide a number of interesting examples.