bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of some minihypers in PG(4,3)
Authors: Landjev Ivan , Rogachev Emiliyan , Rousseva Assia 
Published: November 2023

In this paper we characterize the minihypers with parameters $(66,21)$ in the geometry PG(4,3). These parameters are important because they are instrumental in solving the problem of the existence of several hypothetical ternary Griesmer codes of dimension $6$. This classification gives also insight into the classification problem for $(v_r+2v_{r-1},v_{r-1}+2v_{r-2})$-mimihypers in PG$(r,q)$ for any $r\ge3$ and any prime power $q\ge4$.
eAnalytics: a model of a learning analytics visualization system
Authors: Miteva Dafinka , Stefanova Eliza 
Published: November 2023

Collecting big data from e-learning is already a fact. Huge opportunities open up for learning analytics to deeply understand and effectively optimize the process of teaching and learning. At the same time, large amounts of data require more time, efforts and resources to extract useful information from them. This paper presents a research proposing a model of a learning analytics system aiming through advances in big data visualization methods to facilitate data interpretation and assist timely and accurate decision making. The study describes an architectural model called eAnalytics. It consists of three main components: Data sources connection, Data management and Learning analytics visualization. The last component provides a choice of three methods for visualizing analytics: via a ready-to-use virtual dashboard, via a virtual dashboard template, or by composing personalized analytics. The paper depicts the prototyping of the model and its validation by conducting two types of testing: for functional compliance and by applying "Think aloud" protocol. Finally, important conclusions are drawn and some directions for future work are outlined.
A Causal Model of Health Literacy among Thai Older Adults with Uncontrolled Diabetes
Authors: Tongdee Jeraporn , Thapinta Darawan , Panuthai Sirirat , Chintanawat Rojanee 
Published: November 2023

Uncontrolled diabetes among older adults leads to acute and chronic complications that threaten health and life. Health literacy is crucial to managing health and making successful behavior changes for optimal diabetes outcomes. However, a clear understanding of multiple factors and their mechanisms to influence health literacy is lacking. This descriptive cross-sectional study aimed to test a Model of Health Literacy among Thai Older Adults with Uncontrolled Diabetes and examined the influencing pathways of cognitive function, diabetes knowledge, provider-patient communication, empowerment perception, social support, Internet use, and social engagement regarding health literacy. The sample consisted of 259 older Thai adults with uncontrolled diabetes. Data were collected using a demographic data form, the European Health Literacy Survey Questionnaire, the Diabetes Knowledge Scale, the Diabetes Empowerment Process Scale, the Provider-patient Communication Scale, the Social Support Questionnaire, the Montreal Cognitive Assessment-Basic Test, the Internet Use Questionnaire, and the Being Actively Engaged with Society Subscale of the Active Ageing Scale for Thai People. Data were analyzed using descriptive statistics and structural equation modeling with AMOS. The results showed that the model explained 76% of the quality of life variance. Diabetes knowledge and cognitive function directly affected health literacy. Health literacy was indirectly affected by provider-patient communication and empowerment perception through diabetes knowledge, social engagement through cognitive function, and Internet use through cognitive function and diabetes knowledge. Nurses can develop strategies by integrating Internet use and social engagement in empowerment communication programs to improve diabetes knowledge and cognitive function toward higher health literacy in this population.
CASH MANAGEMENT AND FINANCIAL PERFORMANCE OF PUBLIC UNIVERSITIES IN KENYA
Authors: KITHINJI MOSES MURIUKI , WEPHUKULU JOSHUA MATANDA , GEKARA MOUNI , MWANZIA MARY 
Published: November 2023

The financial performance of Kenyan universities has been declining to recent time where most of the universities reported deficits in their income statement, following the dwindling revenues universities are in a deep financial crisis that can possibly lead some of them to a halt. Auditor General declared 11 universities insolvent in a report to Parliament for financial year (2017/2018). Proper cash management is essential for any organizational survival. This is because an institutions’ inability to identify relevant cash management practices can be its source of inability to perform. The general objective of this study was to determine the Effect of cash management on financial performance of public universities in Kenya, which was guided by the following independent variables; effect of cash ratio management on financial performance of public universities in Kenya, effect of operational cash flow management on financial performance of public universities in Kenya, effect of cash budget management on financial performance of public universities in Kenya and the effect of student enrollment on the relationship between Cash management on financial performance of universities in Kenya . The study was anchored on operating cycle theory, liquidity theory and Baumol’s Cash Management Model. The scope of the study was based on public universities in Kenya for period between years 2016 to 2019. Existing literature was reviewed in details in chapter two of the study. Quantitative research design was used in this study. The study population was 31 accredited public universities in Kenya. Secondary data was collected from the auditor general’s office. The study found that cash management affects financial performance of public universities in Kenya. The study revealed that student enrolment moderates the relationship between cash management and financial performance of public universities in Kenya. The study concluded that cash management plays a significant role in financial performance of public universities in Kenya. The study therefore recommended that all public universities embrace prudent cash management in order to have sound financial performance.
THE ANTECEDENT OF ACTIVE MEMBERSHIP AND PERFORMANCE OUTCOMES OF EMPOWERING LEADERSHIP IN SPORTS FOR DEVELOPMENT ORGANIZATIONS
Authors: NJIHIA DAVID THIRU , BELLOWS SCOTT , ODUOL TRUPHENA 
Published: November 2023

Purpose – The primary purpose of this paper was to identify the antecedent of active membership and performance outcomes of empowering leadership in sports for development organizations. The study also examined the mediating role of empowering leadership between active membership and performance outcomes.
Design/Methodology/Approach – The research assumed a cross-sectional research design. Data was collected from a total population of 2993 youth/members drawn from three sports development organizations in Kenya. The authors conducted a series of confirmatory factor analyses (CFAs) to verify the validity of the constructs and adopted IBM SPSS AMOS Version 23 to test the hypotheses.
Findings - The authors found that active membership is an important antecedent of empowering leadership and can enhance performance outcomes. Besides, empowering leadership plays a significant mediating role between active membership and performance outcomes.
Conclusion / Recommendation - This study concluded that active membership has a positive and significant influence on performance outcomes among youth in sports for development organizations in Kenya. Empowering leadership mediates between active membership and performance outcomes in sports for development organizations in Kenya. The study recommended that leaders should organize activities and ensure regular participation for the youth in the sports for development organization.
Étude de cas d’une évaluation participative : compromis ou atteinte à la validité scientifique ?
Authors: Chadillon-Farinacci Véronique , Saint-Pierre Frédérik , Pelland Marie-Andrée 
Published: November 2023

L’évaluation dépasse la reddition de compte dans le milieu associatif. Plusieurs auteurs rapportent qu’impliquer les parties prenantes dans le processus d’évaluation est une pratique novatrice. Cette étude s’interroge sur la présence de biais générés par cette pratique. Elle pose la question suivante : dans quelle mesure cette implication peut-elle rivaliser avec l’amélioration du programme, voire la production de savoirs empiriques ? Pour y répondre, le cas de l’évaluation d’un programme de prévention de la conduite avec facultés affaiblies chez les jeunes de 10e année dans quatre provinces du Canada atlantique est présenté. À l’aide des données produites par cette étude de cas et de données secondaires, on compare les caractéristiques de trois groupes de jeunes illustrant différentes modalités d’implication des parties prenantes. Les résultats suscitent une discussion relative à la qualité et à la scientificité des données découlant de l’évaluation.
Predictive value of machine learning for the risk of acute kidney injury (AKI) in hospital intensive care units (ICU) patients: a systematic review and meta-analysis
Authors: Du Yuan Hong , Guan Cheng Jing , Li Lin Yu , Gan Ping 
Published: November 2023

Background
Recent studies suggest machine learning represents a promising predictive option for patients in intensive care units (ICU). However, the machine learning performance regarding its actual predictive value for early detection in acute kidney injury (AKI) patients remains uncertain.

Objective
This study represents the inaugural meta-analysis aiming to investigate the predictive value of machine learning for assessing the risk of AKI among ICU patients.

Methods
PubMed, Web of Science, Embase, and the Cochrane Library were all thoroughly searched from inception to June 25, 2022. Eligible studies for inclusion were those concentrating on the predictive value and the development, validation, or enhancement of a prediction model for AKI patients in the ICU. Measures of effects, including c-index, sensitivity, specificity, and their corresponding 95% confidence intervals (CIs), were employed for analysis. The risk of bias in the included original studies was assessed using Probst. The meta-analysis in our study was carried out using R version 4.2.0.

Results
The systematic search yielded 29 articles describing 13 machine-learning models, including 86 models in the training set and 57 in the validation set. The overall c-index was 0.767 (95% CI [0.746, 0.788]) in the training set and 0.773 (95% CI [0.741, 0.804]) in the validation set. The sensitivity and specificity of included studies are as follows: sensitivity [train: 0.66 (95% CI [0.59, 0.73]), validation: 0.73 (95% CI [0.68, 0.77])]; and specificity [train: 0.83 (95% CI [0.78, 0.87])], validation: 0.75 (95% CI [0.71, 0.79])].

Conclusion
The machine learning-based method for predicting the risk of AKI in hospital ICU patients has excellent predictive value and could potentially serve as a prospective application strategy for early identification. PROSPERO Registration number ID: CRD42022362838.
Factors Influencing Domestic Violence against Men in Iringa Municipality
Authors: Ngomuo Mwamini Bruno , Nzali Agnes , Msomba Given Msigwa 
Published: November 2023

This study examined social factors influencing domestic violence against men. The study was qualitative where data were collected through interview. The targeted study population was 58,008 adult married men found in Iringa Municipality and from this population a sample of 30 from six different cases within Iringa were employed. Data analysis was carried out using thematic analysis. Findings revealed that among these social factors, educational level, religious, political practices and lack of awareness on GBV emerged as key contributors to domestic violence against men in Iringa Municipality. The study social factors influenced domestic violence against men in Iringa Municipality. The study recommends that the government should take proactive measures to address all social factors which results into domestic violence against men. In addition, appropriate actions against those performing violence against men should be taken based on the study findings.
Buys-Ballot Estimates for Linear Model with the Expected Values in Time Series Decomposition
Authors: Dozie Kelechukwu C. N. , Ihekuna Stephen O. 
Published: November 2023

The study discusses the Buys-Ballot estimates for linear trend-cycle and seasonal indices with the expected values for mixed model in time series analysis. The emphasis is to derive the expected values of row, column and overall means of the of Buys-Ballot table for the mixed model. We use a real life data to determine the estimation of trend parameters, seasonal indices and choice of appropriate model of the Buys-Ballot table. Results indicate that, (1) the expected value of the row average mimic the shape of the trending parameters of the original series and contains seasonal effect in \[C_1=\sum_{j=1}^S j s_j\] (2) the expected value of the column average also mimic the shape of the trending curves of the original series and contain seasonal effect (3) the appropriate model that best describe the pattern of the study series listed in the summary table (Table 5) is mixed.
Pulmonary and Clinical Outcomes After Bilateral Submandibular Gland Excision and Parotid Duct Ligation for Refractory Sialorrhea
Authors: Miller Ashley L. , Hysinger Erik B. , Tabangin Meredith E. , Torres-Silva Cherie , de Alarcon Alessandro , Hart Catherine K. 
Published: November 2023

ImportanceRefractory sialorrhea in children can result in pulmonary aspiration and irreversible lung damage. Despite many studies devoted to the surgical treatment of sialorrhea, there is a paucity of objective outcome measures after surgery, especially with regard to pulmonary health.ObjectivesTo assess whether bilateral submandibular gland excision and bilateral parotid duct ligation (“DROOL” procedure) is associated with reduced pulmonary inflammation in bronchoalveolar lavage (BAL) samples after surgery and to assess patient factors associated with improvement after surgery.Design, Setting, and ParticipantsThis retrospective case series included all 112 patients undergoing the DROOL procedure at a single tertiary care pediatric children’s hospital from January 1, 2012, to December 31, 2021. Statistical analysis was performed from March 30 to June 10, 2023, and August 20 to September 23, 2023.ExposureDROOL procedure for refractory sialorrhea.Main Outcomes and MeasuresDegree of pulmonary inflammation (neutrophil percentage) according to BAL cytologic findings and overall bronchoscopy findings up to 12 months before and after the DROOL procedure. Secondary outcomes included number of annual hospitalizations, caregiver report of function before and after the procedure, and need for revision procedures and/or additional operations for secretion management.ResultsA total of 112 patients (median age, 3.4 years [IQR, 2.0-7.1 years]; 65 boys [58.0%]) underwent DROOL procedures and had both preoperative and postoperative BAL samples during the study period. Patients demonstrated objective improvement in pulmonary inflammation after surgery, with the median polymorphonuclear neutrophil percentage decreasing from 65.0% (IQR, 14.0%-86.0%) before the surgery to 32.5% (IQR, 3.0%-76.5%) after the surgery (median difference in percentage points, −9.0 [95% CI, −20.0 to 0.0]). Prior to the DROOL procedure, 34 patients (30.4%; 95% CI, 21.8%-38.9%) were hospitalized 2 or more times annually for respiratory illness, which decreased to 10.1% (11 of 109; 95% CI, 4.4%-15.7%) after surgery (3 patients did not have hospitalization data available following surgery). Most caretakers (73 [65.2%]) reported improved secretion management after the procedure.Conclusions and RelevanceThis study suggests that patients with impaired secretion management who underwent a DROOL procedure demonstrated improvement in pulmonary inflammation and a reduction in hospitalizations after surgery. Caretakers were also likely to report subjective improvement in secretion management and quality of life. Additional research is necessary to guide optimal timing and patient selection for this procedure.
Observation of Magnon Spin Transport in BiFeO3 Thin Films
Authors: Liang Yuhan , Jiang Dingsong , Chai Yahong , Wang Yue , Chen Hetian , Ma Jing , Yu Pu , Yi Di , Nan Tianxiang 
Published: November 2023

AbstractMagnon, a quanta of spin waves, can transport in magnetically ordered insulators without substantial heat dissipation. The recently demonstrated magnon‐mediated spin torque through antiferromagnetic insulators is regarded as a highly efficient approach for electrical manipulation of magnetization. To control the magnon transport in antiferromagnets, a very large magnetic field is required, since antiferromagnets show immunity to external magnetic disturbance. The antiferromagnetic order can be electrically controlled in multiferroic materials via the magnetoelectric coupling between the antiferromagnetic and ferroelectric orders. Here, we report the experimental observation of magnon spin transport through multiferroic BiFeO3 thin films in SrRuO3/BiFeO3/NiFe tri‐layers at room temperature. We find highly efficient magnon current transmission through BiFeO3 thin film with a thickness exceeding 80 nm by the spin pumping measurement. The magnon spin‐torque efficiency in the tri‐layers measured by the spin‐torque ferromagnetic resonance is comparable with that in the SrRuO3/NiFe bilayer. This results suggest multiferroic BiFeO3 to be an excellent platform for investigating the antiferromagnetic magnon transport and developing magnonic devices.
A Novel High‐Entropy Perovskite Electrolyte with Improved Proton Conductivity and Stability for Reversible Protonic Ceramic Electrochemical Cells
Authors: Oh Seeun , Kim Dongyeon , Ryu Ho Jin , Lee Kang Taek 
Published: November 2023

AbstractReversible protonic ceramic electrochemical cells (R‐PCECs) are emerging as highly efficient energy conversion devices, operating below 650 °C. The primary challenge in advancing R‐PCECs lies in developing efficient and stable proton‐conducting electrolytes capable of withstanding the chemical instability caused by common contaminants like CO2 and H2O. Herein, a novel high‐entropy perovskite oxide (HEPO) material is introduced, incorporating six equimolar B‐site cations (BaHf1/6Sn1/6Zr1/6Ce1/6Y1/6Yb1/6O3‐δ, BHSZCYYb). The total conductivity of BHSZCYYb outperforms that of the examined HEPO electrolytes and other reported HEPO variants. Additionally, superior chemical stability of BHSZCYYb is observed when exposed to CO2. Utilizing the microwave‐assisted sintering method, an R‐PCEC with BHSZCYYb electrolyte is successfully fabricated. This cell exhibits a maximum power density of 1.151 W cm−2 (650 °C) in fuel cell mode and a current density of 2.326 A cm−2 at 1.3 V (650 °C) in electrolysis cell mode. These results represent the highest‐reported values for R‐PCECs employing HEPO electrolytes to date and provide valuable insights into the development and advancement of HEPOs, holding great promise for achieving high‐performance R‐PCECs.
Ultra‐Low Noise Level Infrared Quantum Dot Photodiodes with Self‐Screenable Polymeric Optical Window
Authors: Kim Tae Hyuk , Choi Young Kyun , Lee Gyeong Min , Saeed Muhammad Ahsan , Jung Byung Ku , Lee Min Jong , Choi Hyung Jin , Oh Soong Ju , Shim Jae Won 
Published: November 2023

AbstractQuantum dot photodiodes (QPDs) have garnered significant attention because of their unparalleled near‐infrared (NIR) detection capabilities, primarily attributable to their size‐dependent bandgap tunability. Nevertheless, the broadband absorption spectrum of QPD engenders substantial noise floor within superfluous visible light regions, notably hindering their use in several emerging applications necessitating the detection of faint micro‐light signals. To overcome these hurdles, a self‐screenable NIR QPD featuring an internal optical filter with a thick polymeric interlayer to reduce electronic noise is demonstrated. This effectively screens out undesirable visible light regions while reducing the ionized defect owing to decreased density of state, yielding an extremely low dark current (≈1010 A cm−2 at V = −1 V). Consequently, the electronic noise spectral density is attained at levels below ≈10−27–10−28 A2 Hz−1, and responsivity (R) dropped to 92% within the visible light spectrum.
Side‐Gate BN‐MoS2 Transistor for Reconfigurable Multifunctional Electronics
Authors: Zeng Daobing , Ding Rongxiang , Liu Guanyu , Lu Huihui , Zhang Miao , Xue Zhongying , Tian Ziao , Di Zengfeng 
Published: November 2023

AbstractDeveloping 2D reconfigurable multifunctional devices is of great potential in further miniaturizing the chip area and simplifying circuit design. 2D van der Waals (vdW) heterostructures offer a novel approach to realizing reconfigurable multifunctional devices. Despite the numerous previous reports that have integrated various functions in a single 2D heterostructures device, most of those devices are based on a complex multilayer heterostructure or an air‐unstable channel material, limiting their ability to be applied in integrated circuits. There is an urgent need to develop 2D reconfigurable multifunctional devices that have a simple structure and stable electrical properties. In this work, a side‐gate reconfigurable device is illustrated based on simple BN‐MoS2 vdW heterostructures. Three different functions in a single device have been achieved, including a diode, double‐side‐gate reconfigurable logic transistor, and top floating gate memory. A lateral n+‐n homojunction is created along the MoS2 channel and the rectification ratio is above 105. Reconfigurable logic operations (OR, AND) can be achieved in a single double‐side‐gate device and the current on/off ratio is ≈t 104. Moreover, the device can act as a floating gate memory under back gate operation. Those results pave the way for integrating the same reconfigurable multifunctional devices to realize complex electronic systems.
Passive Photovoltaic Cooling: Advances Toward Low‐Temperature Operation
Authors: Liu Junwei , Zhou Yifan , Zhou Zhihua , Du Yahui , Wang Cheng , Yang Xueqing , Lin Zhenjia , Guo Zhilin , Zhao Jun , Ye Long , Zhang Haoran , Yan Jinyue 
Published: November 2023

AbstractWith the great increase in installation, photovoltaics will develop as the main power supply source for the world shortly. However, the actual power generation and lifetime of photovoltaics are greatly compromised by the high working temperature under outdoor operation. In this review, the recent advances of four promising passive photovoltaic cooling methods are summarized with the aim to uncover their working principles, cooling performance, and application potential in photovoltaic devices. For radiative cooling, light management strategies with ultraviolet‐photon downshift and sub‐bandgap reflection are discussed in detail to reveal their great potential in reducing photovoltaic working temperature and enhancing power generation. Subsequently, the great cooling benefits of passive evaporative cooling are underlined in terms of its superior cooling power and temperature drop of photovoltaic devices. Moreover, the promising integrated cooling strategy is further highlighted due to its great potential in enhancing electricity production and fresh water supply. Most crucially, the remaining challenges and the authors'r insights are presented to advance the commercial applications of passive cooling methods in photovoltaics.