bluuebunny/crossref_metadata_2025 huggingface dataset:
Building a Purpose of the Company: Friedman and Freeman as Beacons in a Pragmatist Theory of the Firm
Authors: de Graaf Frank Jan
Published: December 2024

When considering the implications of the shareholder-stakeholder debate in defining the purpose of a company, epistemological clarity is vital in this emerging theory of the firm. Such clarity can prevent recurrence based solely on rephrasing key terms. To understand how various stakeholders develop and interpret a shared purpose, I argue for the necessity of a pragmatist approach that is normative and process-oriented. Mental models play a crucial role in interpretive processes that define decision-making, where individual perspectives converge. The figures of Milton Friedman and Ed Freeman serve as “beacons,” as artefacts, in the transmission of knowledge through which we, as individuals, shape a shared understanding. In current societies, profound polarization obstructs solutions to grand challenges. Pragmatism starts by questioning the underlying values of everyone involved. It assumes that sound deliberative processes are the only way to reach real solutions—not only for the mind but, above all, for the heart.
The history of science, the ‘big picture’ and the politics of scale
Authors: Poskett James
Published: December 2024

What does it mean to write the history of science and the ‘big picture’? In this introduction, I argue that ‘scale’ is a crucial but relatively underutilized concept for addressing this question. Rather than taking ‘big’ as a transparent category, I develop a detailed theoretical account of scale in the history and historiography of science. Following work in political geography, I argue that there is a ‘politics of scale’, one that the sciences have played a key role in shaping. Following work in the philosophy of history, I argue that scale should be thought of in its temporal dimension as well as its more traditional spatial dimension. And following work in cultural anthropology, I argue that scale should be understood as an actor's category just as much as an analytic category. The sciences, it turns out, have been one of the principal means through which scale is made and contested. More broadly, this volume of BJHS Themes encourages a creative and open-ended approach to scale in the history of science.
The transfer learning of uncertainty quantification for industrial plant fault diagnosis system design
Authors: Blair J. , Amin O. , Brown B. D. , McArthur S. , Forbes A. , Stephen B.
Published: December 2024

The performance and confidence in fault detection and diagnostic systems can be undermined by data pipelines that feature multiple compounding sources of uncertainty. These issues further inhibit the deployment of data-based analytics in industry, where variable data quality and lack of confidence in model outputs are already barriers to their adoption. The methodology proposed in this paper supports trustworthy data pipeline design and leverages knowledge gained from one fully-observed data pipeline to a similar, under-observed case. The transfer of uncertainties provides insight into uncertainty drivers without repeating the computational or cost overhead of fully redesigning the pipeline. A SHAP-based human-readable explainable AI (XAI) framework was used to rank and explain the impact of each choice in a data pipeline, allowing the decoupling of positive and negative performance drivers to facilitate the successful selection of highly-performing pipelines. This empirical approach is demonstrated in bearing fault classification case studies using well-understood open-source data.
Quasiminimality of complex powers
Authors: Gallinaro Francesco , Kirby Jonathan
Published: December 2024

The complex field, equipped with the multivalued functions of raising to each complex power, is quasiminimal, proving a conjecture of Zilber and providing evidence towards his stronger conjecture that the complex exponential field is quasiminimal.
Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining
Authors: Amirian Soheyla , Kekre Ashutosh , Loganathan Boby John , Chavan Vedraj , Kandula Punith , Littlefield Nickolas , Franco Joseph R. , Tafti Ahmad P. , Ebuenyi Ikenna D.
Published: December 2024

Psychosocial rehabilitation and psychosocial disability research have been a longstanding topic in healthcare, demanding continuous exploration and analysis to enhance patient and clinical outcomes. As the prevalence of psychosocial disability research continues to attract scholarly attention, many scientific articles are being published in the literature. These publications offer profound insights into diagnostics, preventative measures, treatment strategies, and epidemiological factors. Computational text mining as a subfield of artificial intelligence (AI) can make a big difference in accurately analyzing the current extensive collection of scientific articles on time, assisting individual scientists in understanding psychosocial disabilities better, and improving how we care for people with these challenges. Leveraging the vast repository of scientific literature available on PubMed, this study employs advanced text mining strategies, including word embeddings and large language models (LLMs) to extract valuable insights, automatically catalyzing research in mental health. It aims to significantly enhance the scientific community’s knowledge by creating an extensive textual dataset and advanced computational text mining strategies to explore current trends in psychosocial rehabilitation and psychosocial disability research.
Constitutional Recency and Support for Judicial Review
Authors: Brown Adam R. , Krewson Christopher N.
Published: December 2024

Under what conditions are people more likely to support judicial invalidation of legislative acts? We theorize that constitutional recency confers greater democratic legitimacy on constitutional provisions, reducing concerns that judges may use dated language to impose their own will on a living majority. Exploiting differences among US state constitutions, we show in a pre-registered vignette experiment and conjoint analysis that Americans are more supportive of judicial review and original intent interpretation when presented with a younger constitutional provision or constitution. These results imply that Americans might alter their approach to the US Constitution if it were changed as easily and as often as a typical state constitution.
Bypassing the IMF: Banco do Brasil and International Finance, 1964–1982
Authors: Alvarez Sebastian
Published: December 2024

The preponderance and influence of the public sector in the financial system have long been a defining characteristic of Brazilian capitalism. While exerting control over the national credit system through targeted lending policies and other regulatory tools, the federal government also wields significant weight through its state-owned institutions. This article delves into the role of Banco do Brasil (BB), a prominent financial institution and policymaking instrument of the Brazilian government, during the zenith of the developmental state between 1964 and 1982. In contrast to the prevailing focus on financing public spending, this study investigates the international engagements of BB and unveils its participation in managing the country’s external imbalances. BB’s financing proved crucial in bypassing the IMF and reinforcing the government’s commitment to industrialization and developmentalism. The article offers new insights into the forces of Brazil’s state-led finance and the political economy shaping its current banking and regulatory landscape.
Turkish version of the renal inpatient nutrition screening tool: validity and reliability for haemodialysis patients
Authors: Ersoy Söke Nursena , Karademir Emine , Bayrak Ebru , Körez Muslu Kazım , Yardımcı Hülya
Published: December 2024

The aim of this study was to analyse the validity and reliability of the Turkish version of the renal inpatient nutrition screening tool (Renal iNUT) for haemodialysis patients. The Renal iNUT and the malnutrition universal screening tool (MUST) were used in adult haemodialysis patients at two different centres to identify malnutrition. The subjective global assessment (SGA), regarded as the gold standard for nutritional status assessment, was utilised for comparison. Structural validity was assessed using biochemical values and anthropometric measurements, while reliability was assessed using repeated the Renal iNUT assessment. Of the 260 patients admitted, 42·3 % were malnourished (SGA score was B or C). According to the Renal iNUT, 59·6 % of the patients were at increased risk for malnutrition (score ≥ 1) and 3·8 % required referral to a dietitian (score ≥ 2). According to the MUST, 13·1 % of the patients were at increased risk for malnutrition and 8·5 % required referral to a dietitian. The Renal iNUT was found to be more sensitive in detecting increased risk of malnutrition in haemodialysis patients compared with the MUST (59·6 % v. 13·1 %). According to the SGA, the sensitivity of the Renal iNUT is higher compared to the MUST (89 % and 45 %, respectively). Kappa-assessed reliability of the Renal iNUT was 0·48 (95 % CI, 0·58, 0·9) and a moderate concordance was observed. The Renal iNUT is a valid and reliable nutritional screening tool for evaluating haemodialysis patients to determine their nutritional status. The use of the Renal iNUT by dietitians will contribute to the identification of malnutrition and its treatment.
Outside and inside a magnetic island: different perspectives to describe the same observables
Authors: Momo B. , Predebon I.
Published: December 2024

We compare three different approaches to describe a magnetic island in a generic toroidal plasma: (i) perturbative, from the perspective of the equilibrium magnetic field and the related action in a variational principle formulation; (ii) again perturbative, based on the integrability of a system with a single resonant mode and the application of a canonical transformation onto a new island equilibrium system; and (iii) non-perturbative, making use of a full geometric description of the island considered as a stand-alone plasma domain. For the three approaches, we characterize some observables and discuss the respective limits.
Research into practice: Digital multimodal composition in second language writing
Authors: Yu Shulin , Zhang Emily Di , Liu Chunhong
Published: December 2024

Digital multimodal composing (DMC) has been valued as an engaging pedagogy in language teaching and learning in recent decades. Although research on DMC is flourishing and evidences its benefits for students' development as second language (L2) users and writers, there are some missing links between research findings and classroom practices. In this article, we examine three kinds of relationships between research and practice with regard to DMC: areas in which research findings have not been well applied, areas in which research findings have been reasonably well applied, and areas in which research findings have been usefully applied. As recent research–practice frameworks in education research emphasize a collaborative relationship between researchers and practitioners, we argue that L2 writing researchers' and teacher educators' reflections and experiences are crucial to facilitate the dialogue between DMC research and practice in writing contexts. We suggest that DMC should be incorporated into L2 teacher education programs so that instructors are equipped with the necessary knowledge and competence to design, implement, and assess students' DMC productions.
Acyclic population ethics and menu-dependent relations
Authors: Cato Susumu
Published: December 2024

It has been shown that the Mere Addition Paradox occurs in a choice-functional approach with Path Independence (Stewart R.T., 2021, Path independence and a persistent paradox of population ethics, Journal of Philosophy, forthcoming). The present study is a three-part response to this finding. First, I show that Path Independence is not an essential property leading to this paradox and that logically weaker properties can get the same result. Second, I present a rationalizable choice function that does not yield the paradox. And third, I argue that menu-dependent relations are nicely examined if Path Independence is relaxed to Property

$\alpha $

(or equivalently, Contraction Consistency).
Global (re-)framing of cybercrime: An emerging common interest in flux of competing normative powers?
Authors: Wang Xin
Published: December 2024

This article studies how ‘cybercrime’ is framed under the pre-existing regional prohibition regimes and how it would be reshaped under the auspices of the UN. This article adopts a sociolegal approach by integrating transnational criminal law (TCL) and the conceptual framework of recursivity. Observations and analyses show that (i) only the Budapest Convention has institutional capacity to shape ‘cybercrime’, while state behaviour of framing ‘cybercrime’ is actually subject to human rights instruments; (ii) states reach an exceptional compromise in transforming ‘cybercrime’ at the global level during the negotiations under the UN; and (iii) protection from cybercrime is emerging as a common interest. This author proposes that the normative changes of framing ‘cybercrime’ reflect the competition of states for normative power on the international plane; therefore, a pursuit of a universalist formula for countering cybercrime would not succeed owing to a lack of a global commitment to what basic norms and rules govern state behaviour in cyberspace. Lastly, this author proposes that transnational criminalization of cybercrime should seek a minimum public order at the first place because it is premature to provide any real global regulation at this moment.
The Lion Statue of Ain Dara: Revealing the Fate of an Icon of Syrian Archaeology Looted During the Conflict
Authors: Kannawi Ammar , Al Quntar (Al Kuntar) Salam , Gahli Dareen , Brodie Neil
Published: December 2024

During the Syrian war, many archaeological sites were subjected to systematic looting and destruction, often on a massive scale. Among the casualties of this looting is a colossal basalt statue of a lion that was located at the archaeological site of Ain Dara in northwest Syria. The lion of Ain Dara is a prominent local symbol and of great importance for the collective memory of northwest Syria, especially for the people of Wadi Afrin. Its disappearance will also have serious repercussions for the local economy as it was, in the past, an important tourist attraction. In this article, we investigate how the statue was stolen, why it was stolen, and where it is now. By using the lion statue of Ain Dara as a case study, we aim to shed more general light on the networks responsible for looting and trafficking Syrian antiquities, the factors that have enabled their growth during the conflict, and the role of civil society organizations in reducing their harmful impact on the cultural community of the Syrian people.
Digging deep for nutrients and metabolites derived from high dietary protein intake and their potential functions in metabolic health
Authors: Gilsenan Sarah , Leong Dara , Cotter Paul D. , Brennan Lorraine , Nilaweera Kanishka N.
Published: December 2024

Intake of high quantities of dietary proteins sourced from dairy, meat or plants can affect body weight and metabolic health in humans. To improve our understanding of how this may be achieved, we reviewed the data related to the availability of nutrients and metabolites in the faeces, circulation and urine. All protein sources (≥20% by energy) increased faecal levels of branched-chain fatty acids and ammonia and decreased the levels of butyrate. Some metabolites responded to dairy and meat proteins (branched-chain amino acids) as well as dairy and plant proteins (p-cresol), which were increased in faecal matter. Specific to dairy protein intake, the faecal levels of acetate, indole and phenol were increased, whereas plant protein intake specifically increased the levels of kynurenine and tyramine. Meat protein intake increased the faecal levels of methionine, cysteine and alanine and decreased the levels of propionate and acetate. The metabolite profile in the faecal matter following dairy protein intake mirrored availability in circulation or urine. These findings provide an understanding of the contrasting gut versus systemic effects of different dietary proteins, which we know to show different physiological effects. In this regard, we provide directions to determining the mechanisms for the effects of different dietary proteins.
Bilingual education enhances creative fluency and flexibility over the first year of primary school
Authors: Agostini Valeria , Apperly Ian A. , Krott Andrea
Published: December 2024

Can exposure to a foreign language in the first year of school enhance divergent thinking skills? Ninety-nine monolingual children from predominantly White neighbourhoods (MAge = 57.7 months, SD 1.2; 47 girls) attending bilingual schools, schools with weekly foreign language lessons, or schools without a foreign language provision (= controls) completed divergent thinking and executive function tasks at the beginning of the school year and 24 weeks later. The groups did not differ on creativity measures at the beginning of the school year. Only bilingual school children and weekly language learners improved divergent thinking at the second testing point, with the former significantly outperforming controls on creative fluency and flexibility. Improvements could not be explained by executive function development. Therefore, a considerable amount of exposure to a foreign language in early formal education appears to boost creative thinking.
Human Activities Might Create Temporary Atmospheres on the Moon
Authors: O’Callaghan Jonathan
Published: December 2024

Outgassing could pose problems for long-term habitation of the Moon, including health hazards for astronauts, hindrances for electronics, and hampered scientific study.
Skillful Precipitation Nowcasting Using Physical‐Driven Diffusion Networks
Authors: Wang Rui , Fung Jimmy C. H. , Lau Alexis K. H.
Published: December 2024

Accurate and timely precipitation nowcasting is essential for numerous applications including emergency services, infrastructure management, and agriculture. Recently, deep learning (DL) techniques have shown promise in enhancing nowcasting capabilities. This study introduces a novel Physical‐Driven Diffusion Network (PDDN) model that leverages both radar and numerical weather prediction (NWP) data to improve the accuracy and physical consistency of precipitation nowcasts. Our approach integrates the strengths of data‐driven DL techniques with physics‐based NWP models. The PDDN model utilizes latent diffusion models and autoencoders within a two‐stage architecture to predict future radar images, incorporating the Weather Research and Forecasting (WRF) model data to enhance understanding of atmospheric dynamics. Our results demonstrate significant improvements over traditional models, particularly in short‐term forecasting up to 6 hr. This research highlights the potential of combining advanced machine learning techniques with conventional meteorological data, offering new directions for enhancing the accuracy and reliability of weather forecasting.
Inspiration and curiosity: encouraging careers with postgraduate dental research
Authors: Curzon Martin. E. J.
Published: December 2024

The role of teachers and mentors is crucial in developing young members of the dental profession to consider an academic career. In this paper, the experience of the author, as a young postgraduate in paediatric dentistry at the Eastman Dental Center (Rochester, New York), is described when his curiosity was aroused concerning the possible causative or preventive effects of trace elements on tooth enamel. That curiosity was encouraged by Dr Basil Bibby, Director of the Eastman Dental Center, who inspired many students to conduct a research project. Further guidance instigated a change in the author's life plans, leading ultimately to a research and academic career.
Variants in the AGBL5 gene are responsible for autosomal recessive Retinitis pigmentosa with hearing loss
Authors: Karali Marianthi , García-García Gema , Kaminska Karolina , AlTalbishi Alaa , Cancellieri Francesca , Testa Francesco , Barillari Maria Rosaria , Panagiotou Evangelia S. , Psillas George , Vaclavik Veronika , Tran Viet H. , Janeschitz-Kriegl Lucas , Scholl Hendrik PN , Salameh Manar , Barberán-Martínez Pilar , Rodríguez-Muñoz Ana , Armengot Miguel , Scarpato Margherita , Zeuli Roberta , Quinodoz Mathieu , Simonelli Francesca , Rivolta Carlo , Banfi Sandro , Millán José M.
Published: December 2024

The AGBL5 gene encodes for the Cytoplasmic Carboxypeptidase 5 (CCP5), an α-tubulin deglutamylase that cleaves the γ-carboxyl-linked branching point of glutamylated tubulin. To date, pathogenic variants in AGBL5 have been associated only with isolated retinitis pigmentosa (RP). Hearing loss has not been reported in AGBL5-caused retinal disease. In this study, we performed exome sequencing in probands of eight unrelated families from Italy, Spain, Palestine, Switzerland, and Greece. All subjects had a clinical diagnosis of (suspected) Usher syndrome type II for the concurrent presence of RP and post-verbal sensorineural hearing loss (SNHL) that ranged from mild to moderate.We identified biallelic sequence variants in AGBL5 in all analysed subjects. Four of the identified variants were novel. The variants co-segregated with the retinal and auditory phenotypes in additional affected family members. We did not detect any causative variants in known deafness or Usher syndrome genes that could explain the patients’ hearing loss. We therefore conclude that SNHL is a feature of a syndromic presentation of AGBL5 retinopathy. This study provides the first evidence that mutations in AGBL5 can cause syndromic RP forms associated with hearing loss, probably due to dysfunction of sensory cilia in the retina and the inner ear.
A critical review of microplastics characterisation in aquatic environments: recent trends in the last 10 years
Authors: Fernandes Rita , Martins Roberto , Marques Carlos
Published: December 2024

An innovative review of cutting-edge techniques for microplastics detection, highlighting novel methods like LIBS and the need for real-time biosensing.
Convenient lanthanum-mediated synthesis of bulky tert-alkyl amines from nitriles
Authors: Burke Emily K. , Robertson Katherine N. , Speed Alexander W. H.
Published: December 2024

Commercially available lanthanum chloride complex solution allows the double addition of Grignard reagents to nitriles, enabling a one-step synthesis of bulky primary alkylamines.
A surface lattice oxygen-promoted ZnO catalyst for ethanol nonoxidative dehydrogenation
Authors: Zhang Zheng , Hou Mingming , Gan Tao , Zhang Wenjuan , Liu Gang
Published: December 2024

A high-coordination unsaturated ZnO catalyst in air treatment shows 42.6% ethanol dehydrogenation conversion, emphasizing the role of surface lattice oxygen.
Phase evolutions of sodium layered oxide cathodes during thermal fluctuations
Authors: Zhang Yi-Chi , Hou Min , Liu Han-Xiao , Cao Hui , Deng Liang , Zhu Yan-Fang , Li Yan-Jiang , Wang Zhen-Bo , Xiao Yao
Published: December 2024

The phase structure evolutions of sodium layered transition metal oxide cathodes during thermal fluctuations are reviewed, and phase formation mechanisms as well as thermal stability enhancement strategies are discussed.
Access to 1-aryl-pyrazolin-5-ones via photoinduced chemoselective cyclization of N-methacrylo aldehyde hydrazones
Authors: Yu Sheng , Cheng Yangjian , Pan Changduo , Yu Jin-Tao
Published: December 2024

A photocatalytic chemoselective sulfonylation/5-endo-trig cyclization of (E)-N′-arylidene-N-phenylmethacrylohydrazides with sulfonyl chlorides was developed to access sulfonylated pyrazolin-5-ones.
Flow-driven pattern formation during coacervation of xanthan gum with a cationic surfactant
Authors: Stergiou Y. , Perrakis A. , De Wit A. , Schwarzenberger K.
Published: December 2024

Landscape of pattern formation when injecting a xanthan gum dispersion into a cationic surfactant solution. A coacervate phase forms in the contact zone of the two solutions, which leads to hydrodynamic instability due to its high viscosity.
Regulation of the valleytronic properties in single-layer NbSeCl
Authors: Qiu Xiaole , Gong Benchao , Zhang Wenjun , Liu Bing , Han Kai , Yang Hongchao
Published: December 2024

NbSeCl is a semiconductor with a large valley splitting at K and K′ valleys in the valence band. Magnetic doping and constructing heterostructures can significantly manipulate the valleytronic properties.
Ni single atom catalyst with high Ni–Nx content for efficient electrocatalytic reduction of CO2
Authors: Feng Yuting , Mao Qing , Yang Hongbin , Zhou Wei , Yang Dengye , Gao Yanfei
Published: December 2024

A porous nitrogen-doped carbon material (Ni/NC-2 : 1) was developed to control the content of Ni–Nx, allowing to achieve highly selective and durable electrochemical CO2 reduction catalysis.
Pathogen and indicator trends in southern Nevada wastewater during and after the COVID-19 pandemic
Authors: Crank Katherine , Papp Katerina , Barber Casey , Chung Kai , Clements Emily , Frehner Wilbur , Hannoun Deena , Lane Travis , Morrison Christina , Mull Bonnie , Oh Edwin , Wang Phillip , Gerrity Daniel
Published: December 2024

Wastewater samples spanning three years were analyzed for human enteric pathogens and fecal indicators, highlighting seasonal, geographic, and pandemic-related variations of interest for water reuse, microbial risk assessment, and source tracking.
Bifidobacterium longum subsp. longum relieves loperamide hydrochloride-induced constipation in mice by enhancing bile acid dissociation
Authors: Zhang Chenyue , Wang Linlin , Liu Xiaoming , Wang Gang , Zhao Jianxin , Chen Wei
Published: December 2024

The enhanced efficacy of Bifidobacterium longum subsp. longum in relieving constipation is associated with its ability to modulate intestinal physiology and microbiota structure and metabolism (created with BioGDP.com).
Interactions, properties and lipid digestibility of attractive Pickering emulgels formed by sequential addition of oppositely charged nanopolysaccharides
Authors: Guo Shasha , Li Jun , Ji Xingxiang , Jiao Wenjuan , Wan Zhangmin , Huang Luyao , Niu Xun , Xu Junhua , Liu Ying , Zheng Jianan , Li Bin , Bai Long , Lu Yi , Rojas Orlando J.
Published: December 2024

Attractive Pickering emulgels with droplet clusters are formed via the interdroplet electrostatic attraction between cellulose nanocrystals and interfacial-adsorbed chitin nanofibers.
A vascularized microfluidic model of the osteochondral unit for modeling inflammatory response and therapeutic screening
Authors: Roehm Kevin D. , Chiesa Irene , Haithcock Dustin , Gottardi Riccardo , Prabhakarpandian Balabhaskar
Published: December 2024

A tri-culture model of the osteochondral unit incorporating cartilage, bone, and vasculature in separate compartments that permit cell–cell interaction and have applications in the pathogenesis of osteoarthritis and screening of compounds.
Determination of folic acid with a novel biomass sourced carbon quantum dot–mesoporous silica fluorescent probe
Authors: He Wen , Lim Soh Fong , Gao Yan , Baini Rubiyah , Liu Jie , Zheng Yingdi
Published: December 2024

The mechanism of FA quenching the fluorescence of CQD–MSN.
Self-healing and anti-oxidative mucus-inspired hydrogel
Authors: Tao Chunwen , Peng Liyuan , Shao Qiuyun , Nan Kaihui , Narain Ravin , Chen Yangjun
Published: December 2024

Mucus-inspired hydrogels possessing self-healing and anti-oxidative properties were prepared via dynamic phenylboronic ester chemistry between natural mucin and a zwitterionic copolymer.
Synthesis and cell-induced luminescence of post-functionalisable ionisable polyesters from the Passerini 3-component polymerisation
Authors: O'Shaughnessy Lewis , Anane-Adjei Akosua , Mazza Mariarosa , Hori Naoto , Gurnani Pratik , Alexander Cameron
Published: December 2024

A high-yielding multicomponent reaction has been applied to synthesise a new polymer family displaying luminescence exclusively on incubation with cells.
Ruthenium-complex-catalysed de-ammonification polycondensation of aromatic diamines
Authors: Yamaguchi Isao , Ooba Takahiro , Imoto Kohei
Published: December 2024

The use of RuCl2(PPh3)3 as a catalyst, in combination with 1,4-butynediol, activates the C–N and N–H bonds in aromatic diamines, yielding aromatic polyamines with pyrrolyl end groups and ammonia as a byproduct.
An overview of physical and chemical long-range phenomena governed by Friedel oscillations: a bridge between physics and chemistry
Authors: Siklitskaya Alexandra , Bednarek Tomasz , Pogrebetsky James , Kubas Adam
Published: December 2024

Friedel oscillations (FOs) are quantum phenomena observed as electron density oscillatory behavior due to impurity/defect in a medium containing electron gas. Here, FOs are discussed from physical, chemical, and computational perspectives.
Deep eutectic solvent as a green catalyst for the one-pot multicomponent synthesis of 2-substituted benzothiazole derivatives
Authors: Truong Vy Anh , Tran Minh Hai , Nguyen Trinh Hao , Nguyen Hai Truong
Published: December 2024

The need for diverse essential chemicals and resources has markedly risen alongside the advancement of civilization.
Reductive coupling of azonaphthalenes for the synthesis of BINAMs via a diboron-enabled [5,5]-sigmatropic rearrangement
Authors: Qi Liang-Wen , Twumasi Emmanuella Bema , Li Xiao-Wei , Li Rui , Lu Yixin
Published: December 2024

The [5,5]-sigmatropic rearrangement is a less-studied reaction and may be strategically utilized to devise unique synthetic processes.
Better together: integrating adhesion and ion conductivity in composite binders for high-performance silicon anodes
Authors: Preman Anjali N. , Aswale Suraj , Salunkhe Tejaswi T. , Lee Seungjae , Kim Min Chan , Devaraju Subramani , Hyun Kyu , Paik Hyun-jong , Kim Il Tae , Ahn Suk-kyun
Published: December 2024

The composite binder, combining poly(acrylic acid) and a tailored terpolymer (PSUOH), enhances Si anode performance by improving adhesion, stability and ionic conductivity, achieving multifunctionality without trade-offs seen in conventional binders.
Ultra-high nonlinear absorption coefficients based on multiphoton-excited self-trapped excitons in perovskite-inspired copper halides
Authors: Peng Maolan , Mo Xiaoming , Tan Liu , Tao Xiaoma , Ouyang Yifang , Zhou Yulu , Liang Yi , Zhao Jialong
Published: December 2024

Ultra-high nonlinear absorption properties were demonstrated in CsCu2I3 and Cs3Cu2I5 single crystals due to a three-photon absorption (3PA) while a two-photon absorption (2PA) for the CsCu2I3 and Cs3Cu2I5 thin films.
Evaluating the Feasibility and Preliminary Effectiveness of a Multi-Tiered Multimodal Narrative Intervention Program for Preschool Children
Authors: Florit-Pons Júlia , Igualada Alfonso , Prieto Pilar
Published: December 2024

Purpose:

The present study aims to evaluate the feasibility and preliminary effectiveness of a novel multi-tiered narrative intervention program—the multimodal narrative (MMN) program—in Catalan that was co-created to boost preschool children's narrative and pragmatic skills.

Method:

First, we describe here in detail the novel program, which consisted of a set of interventions oriented around the retelling of a narrative in a multimodal fashion, that is, with an abundant use of appropriate gesture and facial expression and careful attention to the pragmatic aspects of communication. We then describe the results of a self-reported feasibility study (Study 1) after this program was trial-implemented by 31 preschool teachers and speech-language therapists in their respective professional contexts. A pre- and post-intervention pilot study (Study 2) was conducted in which the researchers measured the effect of the MMN intervention on the 51 children who participated in the trial implementation.

Results:

Results from Study 1 revealed that most professionals adhered to the intervention protocol, that they found it enjoyable and easy to implement, and that it fostered active participation on the part of children. Results from Study 2 revealed that after the intervention, the narrative and pragmatic skills of all the children had improved.

Conclusion:

These results suggest that a full-fledged implementation of the MMN intervention program is feasible and has the potential to improve children's narrative and pragmatic skills in both clinical and educational contexts.
Integrated scheduling of gantry cranes, container trucks and yard cranes in on‐dock railway operation areas at multimodal container ports
Authors: Xia Tian , Wang Li , Zhang Qin , Dong Jing‐Xin , Song Dong‐Ping , Zhu Xiaoning
Published: December 2024

On‐dock railway operation areas at sea‐rail container ports play a crucial role in transferring containers between maritime and rail transportation systems. The operational efficiency of these areas depends on synchronizing rail and yard container handling equipment, including gantry cranes, container trucks, and yard cranes. However, time‐sensitive container handling, seamless equipment coordination, and complex operational conflicts make multi‐equipment scheduling a challenging decision‐making problem. This study introduces an integrated scheduling method that both alleviates inter‐equipment interferences and balances gantry cranes’ workloads. The underlying problem is formulated as a binary integer programming model using a novel space‐time‐state network. According to the specific model structure, a model reformulation method is proposed here to convert the original three‐equipment scheduling model into a single‐equipment scheduling version. Additionally, a Lagrangian relaxation‐based heuristic is developed to efficiently solve the reformulated model. Numerical experiments are conducted to validate the effectiveness of the proposed solution approach under various instance settings and provide managerial insights into the problem. Computational results demonstrate that the effectiveness and efficiency of the proposed solution approach. Furthermore, the results also indicate that enhanced operational efficiency in the operation area can only be achieved when the railway and storage side handling capacities are well‐matched.
A semi-analytical perspective on massive red galaxies
Authors: Stoppacher D. , Montero-Dorta A. D. , Artale M. C. , Knebe A. , Padilla N. , Benson A. J. , Behrens C.
Published: December 2024

Context. The evolution of galaxies within a self-consistent cosmological context remains one of the most outstanding and challenging topics in modern galaxy formation theory. Investigating the assembly history and various formation scenarios of the most massive and passive galaxies, particularly those found in the densest clusters, will enhance understanding of why galaxies exhibit such a remarkable diversity in structure and morphology.

Aims. In this paper, we simultaneously investigate the assembly history and redshift evolution of semi-analytically modelled galaxy properties of luminous and massive central galaxies between 0.56 < z < 4.15 alongside their connection to their halos as a function of large-scale environment.

Methods. We extracted sub-samples of galaxies from a mock catalogue representative of the well-known BOSS-CMASS sample, which includes the most massive and passively evolving system known today. Utilising typical galaxy properties such as star formation rate, (ɡ-i) colour, and cold gas-phase metallicity (Zcold), we tracked the redshift evolution of these properties across the main progenitor trees.

Results. We present results on galaxy and halo properties, including their growth and clustering functions, for each of our sub-samples. Our findings indicate that galaxies in the highest stellar and halo mass regimes are the least metal enriched (using Zcold as a proxy) and consistently exhibit significantly larger black hole masses and higher clustering amplitudes compared to sub-samples selected by such properties as colour or star formation rate. This population forms later and retains large reservoirs of cold gas. In contrast, galaxies in the intermediate and lower stellar or halo mass regimes consume their cold gas at a higher redshift and were among the earliest and quickest to assemble their stellar and black hole masses. In addition, we observed a clear trend where the clustering of the galaxies selected according to their Zcold-values (either low-Zcold or high-Zcold) depends on the density of their location within the large-scale environment.

Conclusions. We assume that the galaxies in the low-Zcold and high-Zcold sub-samples form and evolve through distinct evolutionary channels that are predetermined by their location within the large-scale environment of the cosmic web. Furthermore, their clustering dependence on the environment could be an important area for further investigation.
Interaction between the ejecta, the accretion disk, and the secondary star in the recurrent nova system U Sco
Authors: Figueira Joana , José Jordi , Cabezón Rubén , García-Senz Domingo
Published: December 2024

Context. Recurrent novae are, by definition, novae observed in outburst more than once. They exhibit notably short recurrence times between outbursts, ranging from 1 to about 100 yr. These short recurrence times require very high mass-accretion rates, white dwarf masses close to the Chandrasekhar mass limit, and very high initial white dwarf luminosities. The likely increase in the white dwarf’s mass after each outburst makes recurrent novae potential type Ia supernova progenitors.

Aims. Most efforts in the modeling of recurrent novae have centered on the initial phases of the explosion and ejection, overlooking the subsequent interaction of the ejecta, first with the accretion disk orbiting the white dwarf and ultimately with the secondary star.

Methods. To address this gap, a series of 3D smoothed-particle hydrodynamics simulations was conducted. These simulations explored the dynamic interactions between the nova ejecta, accretion disk, and stellar companion within the framework of the recurrent nova system U Sco. Notably, the simulations incorporate rotation around the system’s center of mass. The primary goal of these simulations was to qualitatively examine the impact of various model parameters, including ejecta mass, velocity, and density, as well as the mass and geometry of the accretion disk.

Results. Simulations reveal complete disruption and sweeping of the accretion disk orbiting the white dwarf star for models with flared disks and Mejecta/Mdisk ≥ 1. In contrast, V-shaped disks with a (constant) high initial density and Mejecta/Mdisk < 1 partially survive the impact with the nova ejecta. A very minor chemical contamination of the secondary star is anticipated in the U Sco case based on the limited impact of nova ejecta particles on the subgiant in all simulations. Minor mass ejection from the subgiant’s outer layers is observed during the late-stage collision with ejecta and disk material, with some particles ejected from the binary system and some accreted by the white dwarf.
Y Gem, a symbiotic star outshone by its asymptotic giant branch primary component
Authors: Guerrero M. A. , Vasquez-Torres D. A. , Rodríguez-González J. B. , Toalá J. A. , Ortiz R.
Published: December 2024

Context. A considerable number of asymptotic giant branch (AGB) stars exhibit UV excess and/or X-ray emission that indicates a binary companion. AGB stars are so bright that they easily outshine their companions. This almost prevents their identification. Y Gem has been known for some decades to be an AGB star that is bright in the far-UV and X-rays, but it is unclear whether its companion is a main-sequence star or a white dwarf (WD) in a symbiotic system (SySt).

Aims. Our goal is to uncover the true nature of Y Gem, which will help us to study the possible misidentified population of SySts.

Methods. Multiwavelength IR, optical, UV, and X-ray observations were analyzed to investigate the properties of the stellar components and the accretion process in Y Gem. In particular, an optical spectrum of Y Gem is presented here for the first time, while X-ray data are interpreted by means of reflection models produced by an accretion disk and material in its vicinity.

Results. The optical spectrum exhibits the typical sawtooth-shaped features of molecular absorptions in addition to narrow recombination and forbidden emission lines. The emission lines and the analysis of the extinction-corrected UV spectrum suggest a hot component with Teff ≈ 60 000 K, L = 140 L⊙, and R = 0.11 R⊙ that very likely is an accreting WD. The late component is found to be an 1.1 M⊙ AGB star with Teff = 3350 K and R = 240 R⊙.

Conclusions. Using IR, optical, UV, and X-ray data, we found that Y Gem is an S-type SySt whose compact component is accreting at an estimated mass-accretion rate of Ṁacc = 2.3 × 10−7 M⊙ yr−1. At this accretion rate, the accreting WD has reached the stable and steady burning phase in which no recurrent events are expected.
Bridging Explainability and Interpretability in AI-driven SCM Projects to Enhance Decision-Making
Authors: El Oualidi Taoufik , Assar Saïd
Published: December 2024

New AI-based systems implementation in companies is steadily expanding, paving the way for novel organizational sequences. The increasing involvement of end-users has also garnered interest in AI explainability. However, AI explainability continues to be a serious concern, particularly in conventional fields of activity where end-users play an essential role in the large-scale deployment of AI-based solutions. To address this challenge, managing the close relationship between explainability and interpretability deserves particular attention to enable end-users to act and decide with confidence.
Naive Bayes for Smart Building Management: Predicting Workspace Occupancy
Authors: Ennejjar Mohammed , Chabaa Samira , Ali Jallal Mohammed , Zeroual Abdelouhab
Published: December 2024

Occupancy detection plays a crucial role in building management, by improving living conditions and optimizing energy efficiency. So, our paper is a part of this perspective and is divided into two parts. Initially, we delve into the significance of detecting occupancy in buildings, emphasizing its positive impact on human well-being and productivity. Subsequently, the second section is dedicated on using the Naive Bayes Classifier (NBC) to predict occupancy in an office room using variables like temperature, humidity, humidity ratio, light, and CO2 level. This approach demonstrates an impressive accuracy of 97.7%, underscoring the efficacy and the effectivness of this probabilistic classifier in managing building occupancy.
Digital modeling of soil-borne fusarium’s nutritional: Investigating microbiological and microecological dynamics in Moroccan agroecosystems
Authors: El Hilali Alaoui Youssef , Bouda Said , Chabaa Samira , Elouali Alami Mohammed , Khoudi Zakaria , Essarioui Adil
Published: December 2024

The areas planted with date palm trees within the Moroccan oases cover more than 48,000 hectares and play a key role in both the environment and socioeconomic stability. Unfortunately, these ecosystems are threatened by the Bayoud disease caused by Fusarium oxysporum f. sp. albedinis, a vascular wilt pathogen that has already devastated millions of date palms in Morocco and Algeria since the 19th century. Any similar outbreak over time poses a serious threat to the long-term sustainability of these oases. This study aimed to elucidate the biological mechanisms associated with Bayoud decline in suppressive soils. To achieve this, soil samples were collected from the Ziz and Draa Valleys, where date palms are infected by Bayoud, as well as from the palm grove of Marrakech, which is considered a suppressive zone for this disease. In other words, the samples were taken from two disease-conducive zones and one suppressive zone for Bayoud. A total number of eighteen samples were removed from various depths to compare two conducive soils and one suppressive soil. Ninety Fusarium strains were isolated using this approach and tested for their antagonistic or competitive properties against the Bayoud pathogen. The bacterial and fungal communities were characterized using ITS1 and 16S amplicon sequencing, respectively, with growth tests conducted on Biolog SF-P2 plates. Using soil samples from the three research regions, we investigated three machine learning techniques to determine the feeding patterns of Fusarium communities: Decision tree models, k-nearest neighbors, and Logistic regression. The performance scores of the models were as follows: the k-nearest neighbors model achieved 80%, the logistic regression model scored 77.78%, and the decision tree classifier obtained a score of 68%. These results highlight the potential of machine learning approaches in understanding the nutritional behavior of Fusarium communities. Our research provides a foundation for modeling efforts aimed at generating forecasts to mitigate the damages caused by Bayoud on Morocco’s vital date palm ecosystems.
Configuration of health pathway networks for patients with chronic diseases
Authors: Laaziz El Hassan
Published: December 2024

Chronic and long-term diseases, particularly neurodegenerative diseases and polymorbidity, are increasingly occupying the medical and socio-medical landscape and are a concern for government policies. These diseases are of particular concern because the care function (waiting for a patient) is complex and does not have the same utility. The objective of this article is to propose a modeling framework for optimizing patient flows through these care centers with the aim of minimizing the overall cost of the care system (i.e. the total cost of consuming these resources) while maximizing utility for patients. Utility (utility matrix) is defined in our article as a matrix valuing each type of care pathway by its utility for a specific category of patient or for their stage of illness. The model is an integer linear program.
Electronic nose system design and analysis
Authors: Manser Abderrazak , Saidi Tarik
Published: December 2024

This paper presents the design and analysis of a conditioning circuit for Metal-Oxide Semiconductor (MOS) gas sensors within an electronic nose system. By effectively addressing the challenges of signal amplification, filtering, and stabilization, the proposed circuit enhances the reliability and accuracy of gas detection. The system architecture, which includes temperature control and signal modulation, is optimized for precise Odor identification in various applications, ranging from industrial safety to healthcare diagnostics. Simulation results demonstrate the circuit’s ability to improve sensor performance, ensuring accurate and reproducible measurements.
Towards artificial intelligence based rail driving assistance tool
Authors: Merlevede Jean-Valentin , Enjalbert Simon , Vanderhaegen Frédéric , Flammini Francesco
Published: December 2024

This work proposes additional levels of progressive driver assistance expanding the traditional Grades Of Automation (GoA) in order to allow both higher level of automation and keeping the driver involved in driving task at the same time. The second contribution is the Digital Co-Driver which aims to bring the driver back in the train driving activity with the new GoA defined before, taking into account human involvement and driving skills. This framework is made up of several modules, each of which addresses a specific issue arising from the increased level of automation. The Driver State and Performance Monitoring Module monitors the driver’s involvement, situation awareness and performance. The Digital Adviser Module improves driver’s situational awareness, and the Digital Teacher Module improves his/her driving skills and knowledge of the system. Finally, the Safety Manager ensures the system’s compatibility with safety standards.