bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nomophobia Questionnaire (NMP-Q) Across China, Bangladesh, Pakistan, and Iran: Confirmatory Factor Analysis, Measurement Invariance, and Network Analysis
Authors: Li Li , Chen I-Hua , Mamun Mohammed A. , al Mamun Firoj , Ullah Irfan , Hosen Ismail , Malik Najma Iqbal , Fatima Abiha , Poorebrahim Ali , Pourgholami Morteza , Potenza Marc N. , Lin Chung-Ying , Pakpour Amir H. 
Published: September 2023

AbstractThe popularity and advancement of smartphones generate a new phenomenon of smartphone addiction. To promote early identification of individuals at risk of smartphone addiction, healthcare providers could assess if an individual has nomophobia (i.e., anxiety and worry of having no smartphone at hand). The present study aimed to evaluate the psychometric properties of the Nomophobia Questionnaire (NMP-Q) across four countries: China, Bangladesh, Pakistan, and Iran. Via cross-sectional design and convenience sampling, 7871 participants (5969 Chinese, 534 Bangladeshi, 666 Pakistani, and 702 Iranian) completed the NMP-Q. Confirmatory factor analysis (CFA) and network analysis were used to examine the psychometric properties of the NMP-Q across the four countries. CFA identified a four-factor structure (Tucker-Lewis index = 0.934, comparative fit index = 0.943, standardized root mean square residual = 0.037, and root mean square error of approximation = 0.079) for the NMP-Q, and the four-factor structure was measurement invariant across genders and countries. Network analysis results supported the CFA findings via visualized correlations among the NMP-Q items. The four-factor structure of the NMP-Q was consistently found in the four countries of China, Bangladesh, Pakistan, and Iran, indicating that the NMP-Q includes four specific domains. Measurement invariance suggests the NMP-Q may effectively assess nomophobia across genders and countries.
Mathematical Characterization of Private and Public Immune Receptor Sequences
Authors: Böttcher Lucas , Wald Sascha , Chou Tom 
Published: September 2023

AbstractDiverse T and B cell repertoires play an important role in mounting effective immune responses against a wide range of pathogens and malignant cells. The number of unique T and B cell clones is characterized by T and B cell receptors (TCRs and BCRs), respectively. Although receptor sequences are generated probabilistically by recombination processes, clinical studies found a high degree of sharing of TCRs and BCRs among different individuals. In this work, we use a general probabilistic model for T/B cell receptor clone abundances to define “publicness” or “privateness” and information-theoretic measures for comparing the frequency of sampled sequences observed across different individuals. We derive mathematical formulae to quantify the mean and the variances of clone richness and overlap. Our results can be used to evaluate the effect of different sampling protocols on abundances of clones within an individual as well as the commonality of clones across individuals. Using synthetic and empirical TCR amino acid sequence data, we perform simulations to study expected clonal commonalities across multiple individuals. Based on our formulae, we compare these simulated results with the analytically predicted mean and variances of the repertoire overlap. Complementing the results on simulated repertoires, we derive explicit expressions for the richness and its uncertainty for specific, single-parameter truncated power-law probability distributions. Finally, the information loss associated with grouping together certain receptor sequences, as is done in spectratyping, is also evaluated. Our approach can be, in principle, applied under more general and mechanistically realistic clone generation models.
Selbstbezug in videobasierten Unterrichtsreflexionen von Lehramtsstudierenden im Bachelor
Authors: Merkert Alexandra , Lohse-Bossenz Hendrik , Neuber Katharina , Lenske Gerlinde 
Published: September 2023

ZusammenfassungDie Reflexion von Unterrichtsvideos hat sich als wichtiges Instrument zur Verbindung von Theorie und Praxis im Lehramtsstudium etabliert. Videos ermöglichen es, Unterrichtssituationen theoriebasiert zu analysieren, d. h. Lehrhandlungen und deren Folgen zu beschreiben, zu interpretieren und ggf. Handlungsalternativen zu entwickeln. Sie erlauben eine Art stellvertretende Erfahrung, die einer anschließenden Reflexion zugänglich ist. Neben den genannten analytischen mentalen Prozessen verlangt Unterrichtsreflexion auch, dass die stellvertretenden Erfahrungen bzw. die daraus gewonnenen Erkenntnisse auf die eigene Person bezogen werden. Dieser Selbstbezug kann als ein wichtiger Bestandteil des Reflexionsprozesses betrachtet werden. Näher zu erforschen gilt es, welche Dimensionen hinsichtlich des Selbstbezugs unterschieden werden können und inwiefern es Lehramtsstudierenden bereits zu Beginn ihres Studiums gelingt, diesen vertieft herzustellen. Analysiert wurden dazu die qualitativen Daten von 133 Lehramtsstudierenden im Bachelor. Klassifiziert und empirisch besetzt werden konnten fünf Dimensionen des Selbstbezugs (1. Kompetenzen, 2. Passung und Identifikation, 3. Werte und Überzeugungen, 4. persönlicher Lerneffekt und 5. Emotionen). Diese sind potenziell für Erweiterungen offen. Betrachtet wurde außerdem die Tiefe der Selbstbezüge. Im Rahmen von Korrelationsanalysen wurde darüber hinaus ihr Zusammenhang mit dem situationalen Interesse sowie der Motivation, einen Selbstbezug herzustellen, untersucht. Erwartungsgemäß verfassten situational stärker interessierte und zur Herstellung eines Selbstbezugs motivierte Studierende tendenziell umfangreichere Selbstbezüge. Die Mehrheit fokussierte sich jedoch auf eine Dimension. Es gelang allerdings nicht allen Studierenden, einen Selbstbezug herzustellen. Das entwickelte Analyseschema steht auch zukünftigen Forschungsprojekten zur Verfügung und ist auf Basis des Interraterverfahrens als hinreichend intersubjektiv nachvollziehbar zu bezeichnen. Die klassifizierten Dimensionen können darüber hinaus als Anregung für die Reflexion von (videographierten) Unterrichtssituationen in Studium und Weiterbildung genutzt werden.
Energy Production Features of Miscanthus Pellets Blended with Pine Sawdust
Authors: Mohammadi Ali , Anukam Anthony Ike , Ojemaye Mike , Nyamukamba Pardon , Yamada Toshihiko 
Published: September 2023

AbstractThe primary objective of this study was to evaluate the qualities of Miscanthus pellets blended with pine sawdust at various ratios (Miscanthus/pine sawdust—0:100, 25:75, 50:50, 75:25, and 100:0) and relate them to energy generation potential under typical production conditions of the widely used bioenergy production technologies according to literature. Samples of each material were milled to the required sizes and blended in the proportions mentioned above. Water was added (6%) to each mixture to achieve a uniform moisture content of 10% on wet basis. The mixtures were then subjected to pressure agglomeration in the form of mechanical compression using a single pellet press so that homogeneously sized fuel pellets were obtained. Thereafter, the pure and blended pellet samples were examined using a range of analytical techniques to reveal any alterations in characteristics important to the utilization of the pellets as a green energy source. The results showed that, although temperature variations generally caused an estimated 6% moisture loss on a wet basis during pelleting with positive influence on the features of the pellets, the quality of the pellets in terms of ash composition (2–4%), hardness (41–46 kg/pellet), and heating value (20–21 MJ/kg) was in general more desirable for the blended pellets than for pure Miscanthus pellet. Structural analysis also revealed low levels of hydrophobic groups in the blends relative to pure Miscanthus, which were consistent with the fractions of pine sawdust and were also the reason for the pellets’ increased hardness.
Myeloid sarcoma and pathological fracture: a case report and review of literature
Authors: Takeyasu Sho , Morita Ken , Saito Seitaro , Toho Masanori , Oyama Takashi , Obo Takafumi , Taoka Kazuki , Shimura Arika , Maki Hiroaki , Shibata Eisuke , Watanabe Yusuke , Suzuki Fumio , Zhang Liuzhe , Kobayashi Hiroshi , Hinata Munetoshi , Kurokawa Mineo 
Published: September 2023

AbstractMyeloid sarcoma is a rare clinical entity that presents as an isolated proliferation of leukemic cells, concurrently with or at relapse of acute myeloid leukemia (AML), myelodysplastic syndromes/neoplasms (MDS), chronic myeloid leukemia (CML), and myeloproliferative neoplasm (MPN). Myeloid sarcoma disrupts the normal architecture of its surrounding tissues. When it forms in long bones, it can cause their pathological fracture. We recently experienced a rare case of MDS presenting with myeloid sarcoma in the femur that eventually resulted in its pathological fracture. Detailed chromosomal analysis of the bone marrow cells suggested emergence of myeloid sarcoma during the fast-paced progression of MDS just after acquiring trisomy 22. A comprehensive review of previous cases of myeloid sarcoma-associated pathological fracture indicated possible involvement of structural rearrangements of chromosomes 9 and 22. Management of myeloid sarcoma should continue to improve, and clinicians should note that myeloid sarcoma with specific chromosomal alterations needs extra medical attention to prevent pathological fracture.
Development of a thyroid cancer prognostic model based on the mitophagy-associated differentially expressed genes
Authors: Sun Wencong , Wang Xinhui , Li Guoqing , Ding Chao , Wang Yichen , Su Zijie , Xue Meifang 
Published: September 2023

Abstract
Background
The prevalence of thyroid cancer (ThyC), a frequent malignant tumor of the endocrine system, has been rapidly increasing over time. The mitophagy pathway is reported to play a critical role in ThyC onset and progression in many studies. This research aims to create a mitophagy-related survival prediction model for ThyC patients.

Methods
Genes connected to mitophagy were found in the GeneCards database. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases provided information on the expression patterns of ThyC-related genes. To identify differentially expressed genes (DEGs), R software was employed. The prognostic significance of each DEG was assessed using the prognostic K-M curve. The prognostic model was built using LASSO, ROC, univariate, and multivariate Cox regression analyses. Finally, a nomogram model was developed to predict the survival outcome of ThyC patients in the clinical setting.

Results
Through differential analysis, functional enrichment analysis, and protein–protein interaction (PPI) network analysis, we screened 10 key genes related to mitophagy in ThyC. The risk model was eventually developed using LASSO and Cox regression analyses based on the six DEGs related to mitophagy. An altered expression level of a mitophagy-related prognostic gene, GGCT, was found to be the most significant one, according to the KM survival curve analysis. An immunohistochemical (IHC) investigation revealed that ThyC tissues expressed higher levels of GGCT than normal thyroid tissues. The ROC curve verified the satisfactory performance of the model in survival prediction. Multivariate Cox regression analysis showed that the pathological grade, residual tumor volume, and initial tumor lesion type were significantly linked to the prognosis. Finally, we created a nomogram to predict the overall survival rate of ThyC patients at 3-, 5-, and 7- year time points.

Conclusion
The nomogram risk prediction model was developed to precisely predict the survival rate of ThyC patients. The model was validated based on the most significant DEG GGCT gene expression in ThyC. This model may serve as a guide for the creation of precise treatment plans for ThyC patients.
Optimal allocation model and method for parallel ‘reservoir and pumping station’ irrigation system under insufficient irrigation conditions
Authors: Wei Cong , Ge Hengjun , Cheng Jilin , Zhang Shaoqing 
Published: September 2023

AbstractThe effective regulation and storage of water resources by reservoirs in arid and semi-arid areas is important for alleviating water resource shortages. In this paper, multiple irrigation reservoirs and pumping stations are evaluated, according to their special hydraulic connections and used to establish the water resources optimal allocation model of the parallel ‘reservoir and pumping station’ irrigation system. The mathematical model takes the maximum total income of the whole irrigation area as the objective function, the water supply and spill of the reservoir and the water replenishment of the pumping station as the decision variables, and the system water supply, agricultural water rights, reservoir operation criteria as the constraints. A new multilevel decomposition aggregation dynamic programming (MDADP) algorithm is proposed to solve the complex nonlinear model and is compared with the real-coded genetic algorithm, particle swarm optimization, cat swarm optimization and whale optimization algorithm. From the analysis of optimality and the applicability of the algorithm, MDADP was found to be more suitable than the above heuristic models for solving problems in the field of the optimal allocation of water resources.
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores
Authors: Cassavia Nunziato , Caviglione Luca , Guarascio Massimo , Liguori Angelica , Manco Giuseppe , Zuppelli Marco 
Published: September 2023

AbstractAn increasing volume of malicious software exploits information hiding techniques to cloak additional attack stages or bypass frameworks enforcing security. This trend has intensified with the growing diffusion of mobile ecosystems, and many threat actors now conceal scripts or configuration data within high-resolution icons. Even if machine learning has proven to be effective in detecting various hidden payloads, modern mobile scenarios pose further challenges in terms of scalability and privacy. In fact, applications can be retrieved from multiple stores or directly from the Web or social media. Therefore, this paper introduces an approach based on federated learning to reveal information hidden in high-resolution icons bundled with mobile applications. Specifically, multiple nodes are used to mitigate the impact of different privacy regulations, the lack of comprehensive datasets, or the computational burden arising from distributed stores and unofficial repositories. Results collected through simulations indicate that our approach achieves performances similar to those of centralized blueprints. Moreover, federated learning demonstrated its effectiveness in coping with simple “obfuscation” schemes like Base64 encoding and zip compression used by attackers to avoid detection.
Fourier method for the Neumann problem on a torus
Authors: Ashtab Z. , Morais J. , Porter R. Michael 
Published: September 2023

AbstractThe Fourier method approach to the Neumann problem for the Laplacian operator in the case of a solid torus contrasts in many respects with the much more straight forward situation of a ball in 3-space. Although the Dirichlet-to-Neumann map can be readily expressed in terms of series expansions with toroidal harmonics, we show that the resulting equations contain undetermined parameters which cannot be calculated algebraically. A method for rapidly computing numerical solutions of the Neumann problem is presented with numerical illustrations. The results for interior and exterior domains combine to provide a solution for the Neumann problem for the case of a shell between two tori.
Discriminative performance of pancreatic stone protein in predicting ICU mortality and infection severity in adult patients with infection: a systematic review and individual patient level meta-analysis
Authors: Zuercher Patrick , Moser André , Garcia de Guadiana-Romualdo Luis , Llewelyn Martin J. , Graf Rolf , Reding Theresia , Eggimann Philippe , Que Yok-Ai , Prazak Josef 
Published: September 2023

AbstractBackgroundSeveral studies suggested pancreatic stone protein (PSP) as a promising biomarker to predict mortality among patients with severe infection. The objective of the study was to evaluate the performance of PSP in predicting intensive care unit (ICU) mortality and infection severity among critically ill adults admitted to the hospital for infection.MethodsA systematic search across Cochrane Central Register of Controlled Trials and MEDLINE databases (1966 to February 2022) for studies on PSP published in English using ‘pancreatic stone protein’, ‘PSP’, ‘regenerative protein’, ‘lithostatin’ combined with ‘infection’ and ‘sepsis’ found 46 records. The search was restricted to the five trials that measured PSP using the enzyme-linked immunosorbent assay technique (ELISA). We used Bayesian hierarchical regression models for pooled estimates and to predict mortality or disease severity using PSP, C-Reactive Protein (CRP) and procalcitonin (PCT) as main predictor. We used statistical discriminative measures, such as the area under the receiver operating characteristic curve (AUC) and classification plots.ResultsAmong the 678 patients included, the pooled ICU mortality was 17.8% (95% prediction interval 4.1% to 54.6%) with a between-study heterogeneity (I-squared 87%). PSP was strongly associated with ICU mortality (OR = 2.7, 95% credible interval (CrI) [1.3–6.0] per one standard deviation increase; age, gender and sepsis severity adjusted OR = 1.5, 95% CrI [0.98–2.8]). The AUC was 0.69 for PSP 95% confidence interval (CI) [0.64–0.74], 0.61 [0.56–0.66] for PCT and 0.52 [0.47–0.57] for CRP. The sensitivity was 0.96, 0.52, 0.30 for risk thresholds 0.1, 0.2 and 0.3; respective false positive rate values were 0.84, 0.25, 0.10.ConclusionsWe found that PSP showed a very good discriminative ability for both investigated study endpoints ICU mortality and infection severity; better in comparison to CRP, similar to PCT. Combinations of biomarkers did not improve their predictive ability.
Herding behavior in the cryptocurrency market: the case of the Russia–Ukraine conflict
Authors: Le Hanh-Hong , Nguyen Binh Thanh , Thien Nguyen Nhan 
Published: September 2023

AbstractThis study investigates the herding behavior in the cryptocurrency market during the period of the Russia and Ukraine conflict using intraday cryptocurrency price data of the five largest cryptocurrencies in terms of market capitalization. The empirical results indicate an anti-herding behavior during the whole period of the conflict, especially after the conflict officially happens. The research contributes to the growing literature on herding behavior in the cryptocurrency market by using intraday data and examining the Russia–Ukraine conflict period.
Synchronous Chanting in Indonesian Social Movement Repertoires: A Tool for Emoting and for Manipulating Emoters
Authors: Angkasa William 
Published: September 2023

AbstractChanting has been in existence since time immemorial and is thought to emerge as a way to convey information about visceral and affective states. Chanting synchronously allows participants to synchronize their actions and affective states for it requires them to actively and coordinatively participate in it. This phenomenon can be observed in various social rituals across times and cultures all around the world, including in social movement repertoires, such as demonstrations and street protests. Since emotions play a pivotal role in social movements, gaining insights into how chanting can be used as a “tool” for emoting and evoking emotions in such contexts is useful. For this purpose, the lens of situated cognition and affectivity is used to analyze how activists' interactions during occurrences of synchronous chanting facilitate distributed emotions among the participating chanters. Looking at cases of social movements in Indonesia, a multi-ethnic nation-state, which has its own demonstration culture embedded in its sociocultural-historical context, it is argued that synchronous chanting as an emoting tool is coupled to Indonesian activists of various groups. Some of these chants even date back to more than two decades ago, beginning when Indonesian youth fought against the despotic regime of President Suharto and his New Order, to hundreds of years ago when the founding fathers fought against colonialism. Based on the said framework, the analysis concludes that synchronous chanting can be used as a tool for not only emoting but also manipulating people.
Preparation and Corrosive Anion-curing Capability of Layered Double Hydroxide (LDH)/Montmorillonite Composites
Authors: Wu Limei , Sun Mingxi , Wang Xiaolong , Lu Yushen , Tang Ning , Gao Lili , Wang Qing , Hu Ling 
Published: September 2023

AbstractThe passive film of reinforcing steel in marine concrete is damaged by the infiltration of chloride and sulfate ions. Layered double hydroxide (LDH) can adsorb anions and release interlayer ions to form passive films due to its ion exchange property. A Mg-Al-NO3 layered double hydroxide/montmorillonite (LDH/Mnt) composite inhibitor was prepared by layer-by-layer self-assembly (LBL) of LDH and Mnt. The structure and morphology of the LDH/Mnt composites were characterized by X-ray diffraction (XRD), laser Raman spectroscopy, N2-adsorption/desorption measurements, and transmission electron microscopy (TEM). The LDH/Mnt composites, as inhibitors of chloride ions and sulfate ions, exhibited high slow-release efficiency. The mass ratio of LDH and Mnt affected the curing capacity of the synthesized composites, and the optimum mass ratio was LDH/Mnt = 1:1 for which slow-release efficiency reached 94.16%.
Evaluation of Xpert MTB/RIF Ultra for the Diagnosis of Extrapulmonary Tuberculosis: A Retrospective Analysis in Saudi Arabia
Authors: Slail Mousa J. , Booq Rayan Y. , Al-Ahmad Ibrahim H. , Alharbi Arwa A. , Alharbi Shafi F. , Alotaibi Mutlaq Z. , Aljubran Abdulaziz M. , Aldossary Ahmad M. , Memish Ziad A. , Alyamani Essam J. , Tawfik Essam A. , Binjomah Abdulwahab Z. 
Published: September 2023

AbstractThe incidence of extrapulmonary tuberculosis (EPTB) in low- and middle-income countries, as well as, high-income countries has increased over the last two decades. The acid-fast bacillus (AFB) smear test is easy to perform and cost-effective with a quick turnaround time but the test has low sensitivity. Culture remains the gold standard for detecting TB; however, it has low sensitivity and slow bacterial growth patterns, as it may take up to 6 to 8 weeks to grow. Therefore, a rapid detection tool is crucial for the early initiation of treatment and ensuring an improved therapeutic outcome. Here, the Xpert Ultra system was developed as a nucleic acid amplification technique to accelerate the detection of MTB in paucibacillary clinical samples and endorsed by the World Health Organization. From March 2020 to August 2021, Xpert Ultra was evaluated for its sensitivity and specificity against EPTB and compared with those of the routinely used Xpert, culture, and AFB tests in 845 clinical samples in Saudi Arabia. The results indicate the overall sensitivity and specificity of Xpert Ultra to be 91% and 95%, respectively, compared with the Xpert (82% and 99%, respectively) and AFB smear (18% and 100%, respectively) tests. The results also indicated that despite the low microbial loads that were categorized as trace, very low, or low on Xpert Ultra, yet, complete detection was achieved with some sample types (i.e., 100% detection). Consequently, Xpert Ultra has great potential to replace conventional diagnostic approaches as a standard detection method for EPTB.